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Epoch [1/100], Step[3/526], Loss: 0.7108
Epoch [1/100], Step[4/526], Loss: 0.7010
Epoch [1/100], Step[5/526], Loss: 0.6746
Epoch [1/100], Step[6/526], Loss: 0.7410
Epoch [1/100], Step[7/526], Loss: 0.7826
Epoch [1/100], Step[8/526], Loss: 0.7610
Epoch [1/100], Step[9/526], Loss: 0.7529
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Epoch [1/100], Step[11/526], Loss: 0.6826
Epoch [1/100], Step[12/526], Loss: 0.6868
Epoch [1/100], Step[13/526], Loss: 0.7014
Epoch [1/100], Step[14/526], Loss: 0.7050
Epoch [1/100], Step[15/526], Loss: 0.7134
Epoch [1/100], Step[16/526], Loss: 0.6757
Epoch [1/100], Step[17/526], Loss: 0.7055
Epoch [1/100], Step[18/526], Loss: 0.6825
Epoch [1/100], Step[19/526], Loss: 0.6980
Epoch [1/100], Step[20/526], Loss: 0.6755
Epoch [1/100], Step[21/526], Loss: 0.7008
Epoch [1/100], Step[22/526], Loss: 0.7128
Epoch [1/100], Step[23/526], Loss: 0.6781
Epoch [1/100], Step[24/526], Loss: 0.6793
Epoch [1/100], Step[25/526], Loss: 0.6817
Epoch [1/100], Step[26/526], Loss: 0.6806
Epoch [1/100], Step[27/526], Loss: 0.7131
Epoch [1/100], Step[28/526], Loss: 0.7151
Epoch [1/100], Step[29/526], Loss: 0.6891
Epoch [1/100], Step[30/526], Loss: 0.6970
Epoch [1/100], Step[31/526], Loss: 0.7078
Epoch [1/100], Step[32/526], Loss: 0.6722
Epoch [1/100], Step[33/526], Loss: 0.7266
Epoch [1/100], Step[34/526], Loss: 0.7037
Epoch [1/100], Step[35/526], Loss: 0.7037
Epoch [1/100], Step[36/526], Loss: 0.6922
Epoch [1/100], Step[37/526], Loss: 0.6875
Epoch [1/100], Step[38/526], Loss: 0.7083
Epoch [1/100], Step[39/526], Loss: 0.7266
Epoch [1/100], Step[40/526], Loss: 0.7050
Epoch [1/100], Step[41/526], Loss: 0.6685
Epoch [1/100], Step[42/526], Loss: 0.7022
Epoch [1/100], Step[43/526], Loss: 0.6949
Epoch [1/100], Step[44/526], Loss: 0.6860
Epoch [1/100], Step[45/526], Loss: 0.6836
Epoch [1/100], Step[46/526], Loss: 0.7315
Epoch [1/100], Step[47/526], Loss: 0.7155
Epoch [1/100], Step[48/526], Loss: 0.7070
Epoch [1/100], Step[49/526], Loss: 0.6947
Epoch [1/100], Step[50/526], Loss: 0.7084
Epoch [1/100], Step[51/526], Loss: 0.6734
Epoch [1/100], Step[52/526], Loss: 0.6989
Epoch [1/100], Step[53/526], Loss: 0.7139
Epoch [1/100], Step[54/526], Loss: 0.6695
Epoch [1/100], Step[55/526], Loss: 0.7086
Epoch [1/100], Step[56/526], Loss: 0.6935
Epoch [1/100], Step[57/526], Loss: 0.7042
Epoch [1/100], Step[58/526], Loss: 0.6952
Epoch [1/100], Step[59/526], Loss: 0.6555
Epoch [1/100], Step[60/526], Loss: 0.7138
Epoch [1/100], Step[61/526], Loss: 0.7000
Epoch [1/100], Step[62/526], Loss: 0.6975
Epoch [1/100], Step[63/526], Loss: 0.7105
Epoch [1/100], Step[64/526], Loss: 0.7034
Epoch [1/100], Step[65/526], Loss: 0.7208
Epoch [1/100], Step[66/526], Loss: 0.7051
Epoch [1/100], Step[67/526], Loss: 0.7161
Epoch [1/100], Step[68/526], Loss: 0.7012
Epoch [1/100], Step[69/526], Loss: 0.7088
Epoch [1/100], Step[70/526], Loss: 0.6816
Epoch [1/100], Step[71/526], Loss: 0.6994
Epoch [1/100], Step[72/526], Loss: 0.6800
Epoch [1/100], Step[73/526], Loss: 0.6848
Epoch [1/100], Step[74/526], Loss: 0.6889
Epoch [1/100], Step[75/526], Loss: 0.7080
Epoch [1/100], Step[76/526], Loss: 0.7216
Epoch [1/100], Step[77/526], Loss: 0.6865
Epoch [1/100], Step[78/526], Loss: 0.7041
Epoch [1/100], Step[79/526], Loss: 0.7051
Epoch [1/100], Step[80/526], Loss: 0.6977
Epoch [1/100], Step[81/526], Loss: 0.7316
Epoch [1/100], Step[82/526], Loss: 0.7175
Epoch [1/100], Step[83/526], Loss: 0.7020
Epoch [1/100], Step[84/526], Loss: 0.7148
Epoch [1/100], Step[85/526], Loss: 0.7024
Epoch [1/100], Step[86/526], Loss: 0.6995
Epoch [1/100], Step[87/526], Loss: 0.6978
Epoch [1/100], Step[88/526], Loss: 0.6972
Epoch [1/100], Step[89/526], Loss: 0.7019
Epoch [1/100], Step[90/526], Loss: 0.6868
Epoch [1/100], Step[91/526], Loss: 0.7017
Epoch [1/100], Step[92/526], Loss: 0.6894
Epoch [1/100], Step[93/526], Loss: 0.6911
Epoch [1/100], Step[94/526], Loss: 0.7804
Epoch [1/100], Step[95/526], Loss: 0.6871
Epoch [1/100], Step[96/526], Loss: 0.7002
Epoch [1/100], Step[97/526], Loss: 0.7184
Epoch [1/100], Step[98/526], Loss: 0.7294
Epoch [1/100], Step[99/526], Loss: 0.7368
Epoch [1/100], Step[100/526], Loss: 0.6943
Epoch [1/100], Step[101/526], Loss: 0.6845
Epoch [1/100], Step[102/526], Loss: 0.7039
Epoch [1/100], Step[103/526], Loss: 0.7165
Epoch [1/100], Step[104/526], Loss: 0.6911
Epoch [1/100], Step[105/526], Loss: 0.6803
Epoch [1/100], Step[106/526], Loss: 0.6809
Epoch [1/100], Step[107/526], Loss: 0.7039
Epoch [1/100], Step[108/526], Loss: 0.6820
Epoch [1/100], Step[109/526], Loss: 0.6894
Epoch [1/100], Step[110/526], Loss: 0.6803
Epoch [1/100], Step[111/526], Loss: 0.6976
Epoch [1/100], Step[112/526], Loss: 0.7076
Epoch [1/100], Step[113/526], Loss: 0.7141
Epoch [1/100], Step[114/526], Loss: 0.7049
Epoch [1/100], Step[115/526], Loss: 0.6947
Epoch [1/100], Step[116/526], Loss: 0.6637
Epoch [1/100], Step[117/526], Loss: 0.6754
Epoch [1/100], Step[118/526], Loss: 0.7147
Epoch [1/100], Step[119/526], Loss: 0.6764
Epoch [1/100], Step[120/526], Loss: 0.7036
Epoch [1/100], Step[121/526], Loss: 0.6857
Epoch [1/100], Step[122/526], Loss: 0.6868
Epoch [1/100], Step[123/526], Loss: 0.6959
Epoch [1/100], Step[124/526], Loss: 0.6948
Epoch [1/100], Step[125/526], Loss: 0.6632
Epoch [1/100], Step[126/526], Loss: 0.6958
Epoch [1/100], Step[127/526], Loss: 0.6980
Epoch [1/100], Step[128/526], Loss: 0.6920
Epoch [1/100], Step[129/526], Loss: 0.6735
Epoch [1/100], Step[130/526], Loss: 0.6220
Epoch [1/100], Step[131/526], Loss: 0.7103
Epoch [1/100], Step[132/526], Loss: 0.7248
Epoch [1/100], Step[133/526], Loss: 0.7400
Epoch [1/100], Step[134/526], Loss: 0.7055
Epoch [1/100], Step[135/526], Loss: 0.6850
Epoch [1/100], Step[136/526], Loss: 0.6479
Epoch [1/100], Step[137/526], Loss: 0.6654
Epoch [1/100], Step[138/526], Loss: 0.6972
Epoch [1/100], Step[139/526], Loss: 0.6908
Epoch [1/100], Step[140/526], Loss: 0.6713
Epoch [1/100], Step[141/526], Loss: 0.6561
Epoch [1/100], Step[142/526], Loss: 0.6835
Epoch [1/100], Step[143/526], Loss: 0.6958
Epoch [1/100], Step[144/526], Loss: 0.6994
Epoch [1/100], Step[145/526], Loss: 0.6670
Epoch [1/100], Step[146/526], Loss: 0.6340
Epoch [1/100], Step[147/526], Loss: 0.5924
Epoch [1/100], Step[148/526], Loss: 0.6335
Epoch [1/100], Step[149/526], Loss: 0.6271
Epoch [1/100], Step[150/526], Loss: 0.6458
Epoch [1/100], Step[151/526], Loss: 0.6309
Epoch [1/100], Step[152/526], Loss: 0.6641
Epoch [1/100], Step[153/526], Loss: 0.6638
Epoch [1/100], Step[154/526], Loss: 0.7022
Epoch [1/100], Step[155/526], Loss: 0.6446
Epoch [1/100], Step[156/526], Loss: 0.5557
Epoch [1/100], Step[157/526], Loss: 0.4538
Epoch [1/100], Step[158/526], Loss: 0.5893
Epoch [1/100], Step[159/526], Loss: 0.5794
Epoch [1/100], Step[160/526], Loss: 0.6226
Epoch [1/100], Step[161/526], Loss: 1.2973
Epoch [1/100], Step[162/526], Loss: 0.6884
Epoch [1/100], Step[163/526], Loss: 0.7288
Epoch [1/100], Step[164/526], Loss: 0.7324
Epoch [1/100], Step[165/526], Loss: 0.7028
Epoch [1/100], Step[166/526], Loss: 0.5832
Epoch [1/100], Step[167/526], Loss: 0.5807
Epoch [1/100], Step[168/526], Loss: 0.8095
Epoch [1/100], Step[169/526], Loss: 0.7894
Epoch [1/100], Step[170/526], Loss: 0.7779
Epoch [1/100], Step[171/526], Loss: 0.6972
Epoch [1/100], Step[172/526], Loss: 0.7067
Epoch [1/100], Step[173/526], Loss: 0.6982
Epoch [1/100], Step[174/526], Loss: 0.7199
Epoch [1/100], Step[175/526], Loss: 0.6680
Epoch [1/100], Step[176/526], Loss: 0.6708
Epoch [1/100], Step[177/526], Loss: 0.6625
Epoch [1/100], Step[178/526], Loss: 0.7308
Epoch [1/100], Step[179/526], Loss: 0.6677
Epoch [1/100], Step[180/526], Loss: 0.6525
Epoch [1/100], Step[181/526], Loss: 0.6888
Epoch [1/100], Step[182/526], Loss: 0.6949
Epoch [1/100], Step[183/526], Loss: 0.6298
Epoch [1/100], Step[184/526], Loss: 0.6060
Epoch [1/100], Step[185/526], Loss: 0.5806
Epoch [1/100], Step[186/526], Loss: 0.6682
Epoch [1/100], Step[187/526], Loss: 0.7515
Epoch [1/100], Step[188/526], Loss: 0.7844
Epoch [1/100], Step[189/526], Loss: 0.7058
Epoch [1/100], Step[190/526], Loss: 0.6298
Epoch [1/100], Step[191/526], Loss: 0.7396
Epoch [1/100], Step[192/526], Loss: 0.7431
Epoch [1/100], Step[193/526], Loss: 0.6592
Epoch [1/100], Step[194/526], Loss: 0.7300
Epoch [1/100], Step[195/526], Loss: 0.6946
Epoch [1/100], Step[196/526], Loss: 0.7311
Epoch [1/100], Step[197/526], Loss: 0.6887
Epoch [1/100], Step[198/526], Loss: 0.6722
Epoch [1/100], Step[199/526], Loss: 0.6164
Epoch [1/100], Step[200/526], Loss: 0.6353
Epoch [1/100], Step[201/526], Loss: 0.7210
Epoch [1/100], Step[202/526], Loss: 0.8792
Epoch [1/100], Step[203/526], Loss: 0.6440
Epoch [1/100], Step[204/526], Loss: 0.8721
Epoch [1/100], Step[205/526], Loss: 0.7916
Epoch [1/100], Step[206/526], Loss: 0.6645
Epoch [1/100], Step[207/526], Loss: 0.7173
Epoch [1/100], Step[208/526], Loss: 0.7470
Epoch [1/100], Step[209/526], Loss: 0.7596
Epoch [1/100], Step[210/526], Loss: 0.6878
Epoch [1/100], Step[211/526], Loss: 0.6010
Epoch [1/100], Step[212/526], Loss: 0.7266
Epoch [1/100], Step[213/526], Loss: 0.7254
Epoch [1/100], Step[214/526], Loss: 0.7006
Epoch [1/100], Step[215/526], Loss: 0.7303
Epoch [1/100], Step[216/526], Loss: 0.7216
Epoch [1/100], Step[217/526], Loss: 0.7125
Epoch [1/100], Step[218/526], Loss: 0.6993
Epoch [1/100], Step[219/526], Loss: 0.6717
Epoch [1/100], Step[220/526], Loss: 0.6429
Epoch [1/100], Step[221/526], Loss: 0.7189
Epoch [1/100], Step[222/526], Loss: 0.6020
Epoch [1/100], Step[223/526], Loss: 0.6847
Epoch [1/100], Step[224/526], Loss: 0.7095
Epoch [1/100], Step[225/526], Loss: 0.6086
Epoch [1/100], Step[226/526], Loss: 0.6624
Epoch [1/100], Step[227/526], Loss: 0.6872
Epoch [1/100], Step[228/526], Loss: 0.7230
Epoch [1/100], Step[229/526], Loss: 0.7239
Epoch [1/100], Step[230/526], Loss: 0.7040
Epoch [1/100], Step[231/526], Loss: 0.6933
Epoch [1/100], Step[232/526], Loss: 0.6894
Epoch [1/100], Step[233/526], Loss: 0.6941
Epoch [1/100], Step[234/526], Loss: 0.6731
Epoch [1/100], Step[235/526], Loss: 0.6834
Epoch [1/100], Step[236/526], Loss: 0.6986
Epoch [1/100], Step[237/526], Loss: 0.7042
Epoch [1/100], Step[238/526], Loss: 0.6446
Epoch [1/100], Step[239/526], Loss: 0.6618
Epoch [1/100], Step[240/526], Loss: 0.6712
Epoch [1/100], Step[241/526], Loss: 0.6426
Epoch [1/100], Step[242/526], Loss: 0.6442
Epoch [1/100], Step[243/526], Loss: 0.6935
Epoch [1/100], Step[244/526], Loss: 0.6947
Epoch [1/100], Step[245/526], Loss: 0.7050
Epoch [1/100], Step[246/526], Loss: 0.7215
Epoch [1/100], Step[247/526], Loss: 0.6732
Epoch [1/100], Step[248/526], Loss: 0.6681
Epoch [1/100], Step[249/526], Loss: 0.7040
Epoch [1/100], Step[250/526], Loss: 0.7148
Epoch [1/100], Step[251/526], Loss: 0.6876
Epoch [1/100], Step[252/526], Loss: 0.6919
Epoch [1/100], Step[253/526], Loss: 0.6879
Epoch [1/100], Step[254/526], Loss: 0.7002
Epoch [1/100], Step[255/526], Loss: 0.6680
Epoch [1/100], Step[256/526], Loss: 0.6796
Epoch [1/100], Step[257/526], Loss: 0.5974
Epoch [1/100], Step[258/526], Loss: 0.6621
Epoch [1/100], Step[259/526], Loss: 0.7134
Epoch [1/100], Step[260/526], Loss: 0.6836
Epoch [1/100], Step[261/526], Loss: 0.6729
Epoch [1/100], Step[262/526], Loss: 0.6294
Epoch [1/100], Step[263/526], Loss: 0.6728
Epoch [1/100], Step[264/526], Loss: 0.6480
Epoch [1/100], Step[265/526], Loss: 0.5793
Epoch [1/100], Step[266/526], Loss: 0.5210
Epoch [1/100], Step[267/526], Loss: 0.7106
Epoch [1/100], Step[268/526], Loss: 0.6972
Epoch [1/100], Step[269/526], Loss: 0.7004
Epoch [1/100], Step[270/526], Loss: 0.6358
Epoch [1/100], Step[271/526], Loss: 0.6170
Epoch [1/100], Step[272/526], Loss: 0.6459
Epoch [1/100], Step[273/526], Loss: 0.6562
Epoch [1/100], Step[274/526], Loss: 0.6214
Epoch [1/100], Step[275/526], Loss: 0.6484
Epoch [1/100], Step[276/526], Loss: 0.6269
Epoch [1/100], Step[277/526], Loss: 0.6139
Epoch [1/100], Step[278/526], Loss: 0.6074
Epoch [1/100], Step[279/526], Loss: 0.5510
Epoch [1/100], Step[280/526], Loss: 0.6485
Epoch [1/100], Step[281/526], Loss: 0.7057
Epoch [1/100], Step[282/526], Loss: 0.5994
Epoch [1/100], Step[283/526], Loss: 0.5333
Epoch [1/100], Step[284/526], Loss: 0.5544
Epoch [1/100], Step[285/526], Loss: 0.4808
Epoch [1/100], Step[286/526], Loss: 0.6221
Epoch [1/100], Step[287/526], Loss: 0.7050
Epoch [1/100], Step[288/526], Loss: 0.4913
Epoch [1/100], Step[289/526], Loss: 0.5897
Epoch [1/100], Step[290/526], Loss: 0.5198
Epoch [1/100], Step[291/526], Loss: 0.5684
Epoch [1/100], Step[292/526], Loss: 0.3253
Epoch [1/100], Step[293/526], Loss: 0.4127
Epoch [1/100], Step[294/526], Loss: 0.5031
Epoch [1/100], Step[295/526], Loss: 0.4359
Epoch [1/100], Step[296/526], Loss: 0.7554
Epoch [1/100], Step[297/526], Loss: 0.3836
Epoch [1/100], Step[298/526], Loss: 0.4355
Epoch [1/100], Step[299/526], Loss: 0.3410
Epoch [1/100], Step[300/526], Loss: 0.5634
Epoch [1/100], Step[301/526], Loss: 0.5023
Epoch [1/100], Step[302/526], Loss: 0.3464
Epoch [1/100], Step[303/526], Loss: 0.5107
Epoch [1/100], Step[304/526], Loss: 0.3058
Epoch [1/100], Step[305/526], Loss: 0.5043
Epoch [1/100], Step[306/526], Loss: 0.7904
Epoch [1/100], Step[307/526], Loss: 0.8907
Epoch [1/100], Step[308/526], Loss: 1.3113
Epoch [1/100], Step[309/526], Loss: 1.2650
Epoch [1/100], Step[310/526], Loss: 0.9914
Epoch [1/100], Step[311/526], Loss: 0.7988
Epoch [1/100], Step[312/526], Loss: 0.5919
Epoch [1/100], Step[313/526], Loss: 0.4877
Epoch [1/100], Step[314/526], Loss: 0.5531
Epoch [1/100], Step[315/526], Loss: 0.7590
Epoch [1/100], Step[316/526], Loss: 0.7392
Epoch [1/100], Step[317/526], Loss: 0.4453
Epoch [1/100], Step[318/526], Loss: 0.6888
Epoch [1/100], Step[319/526], Loss: 0.4916
Epoch [1/100], Step[320/526], Loss: 0.5675
Epoch [1/100], Step[321/526], Loss: 0.8933
Epoch [1/100], Step[322/526], Loss: 0.2971
Epoch [1/100], Step[323/526], Loss: 0.6219
Epoch [1/100], Step[324/526], Loss: 0.7104
Epoch [1/100], Step[325/526], Loss: 0.6438
Epoch [1/100], Step[326/526], Loss: 0.7516
Epoch [1/100], Step[327/526], Loss: 0.8260
Epoch [1/100], Step[328/526], Loss: 0.8137
Epoch [1/100], Step[329/526], Loss: 0.9197
Epoch [1/100], Step[330/526], Loss: 0.7816
Epoch [1/100], Step[331/526], Loss: 0.9175
Epoch [1/100], Step[332/526], Loss: 0.8764
Epoch [1/100], Step[333/526], Loss: 0.7370
Epoch [1/100], Step[334/526], Loss: 0.8492
Epoch [1/100], Step[335/526], Loss: 0.8233
Epoch [1/100], Step[336/526], Loss: 0.6960
Epoch [1/100], Step[337/526], Loss: 0.6064
Epoch [1/100], Step[338/526], Loss: 0.7118
Epoch [1/100], Step[339/526], Loss: 0.6958
Epoch [1/100], Step[340/526], Loss: 0.7365
Epoch [1/100], Step[341/526], Loss: 0.7645
Epoch [1/100], Step[342/526], Loss: 0.8195
Epoch [1/100], Step[343/526], Loss: 0.6227
Epoch [1/100], Step[344/526], Loss: 0.6868
Epoch [1/100], Step[345/526], Loss: 0.7212
Epoch [1/100], Step[346/526], Loss: 0.6658
Epoch [1/100], Step[347/526], Loss: 0.7301
Epoch [1/100], Step[348/526], Loss: 0.6701
Epoch [1/100], Step[349/526], Loss: 0.6763
Epoch [1/100], Step[350/526], Loss: 0.6784
Epoch [1/100], Step[351/526], Loss: 0.7208
Epoch [1/100], Step[352/526], Loss: 0.6677
Epoch [1/100], Step[353/526], Loss: 0.7501
Epoch [1/100], Step[354/526], Loss: 0.7068
Epoch [1/100], Step[355/526], Loss: 0.7370
Epoch [1/100], Step[356/526], Loss: 0.7233
Epoch [1/100], Step[357/526], Loss: 0.6464
Epoch [1/100], Step[358/526], Loss: 0.7145
Epoch [1/100], Step[359/526], Loss: 0.7005
Epoch [1/100], Step[360/526], Loss: 0.6735
Epoch [1/100], Step[361/526], Loss: 0.7465
Epoch [1/100], Step[362/526], Loss: 0.7586
Epoch [1/100], Step[363/526], Loss: 0.6907
Epoch [1/100], Step[364/526], Loss: 0.6627
Epoch [1/100], Step[365/526], Loss: 0.6580
Epoch [1/100], Step[366/526], Loss: 0.7318
Epoch [1/100], Step[367/526], Loss: 0.7200
Epoch [1/100], Step[368/526], Loss: 0.7173
Epoch [1/100], Step[369/526], Loss: 0.7190
Epoch [1/100], Step[370/526], Loss: 1.2250
Epoch [1/100], Step[371/526], Loss: 0.7284
Epoch [1/100], Step[372/526], Loss: 0.6597
Epoch [1/100], Step[373/526], Loss: 0.6866
Epoch [1/100], Step[374/526], Loss: 0.6855
Epoch [1/100], Step[375/526], Loss: 0.6697
Epoch [1/100], Step[376/526], Loss: 0.6753
Epoch [1/100], Step[377/526], Loss: 0.6620
Epoch [1/100], Step[378/526], Loss: 0.6808
Epoch [1/100], Step[379/526], Loss: 0.7057
Epoch [1/100], Step[380/526], Loss: 0.6609
Epoch [1/100], Step[381/526], Loss: 0.6662
Epoch [1/100], Step[382/526], Loss: 0.6804
Epoch [1/100], Step[383/526], Loss: 0.7051
Epoch [1/100], Step[384/526], Loss: 0.6664
Epoch [1/100], Step[385/526], Loss: 0.6712
Epoch [1/100], Step[386/526], Loss: 0.6481
Epoch [1/100], Step[387/526], Loss: 0.6704
Epoch [1/100], Step[388/526], Loss: 0.6422
Epoch [1/100], Step[389/526], Loss: 0.6895
Epoch [1/100], Step[390/526], Loss: 0.6512
Epoch [1/100], Step[391/526], Loss: 0.6566
Epoch [1/100], Step[392/526], Loss: 0.7089
Epoch [1/100], Step[393/526], Loss: 0.6418
Epoch [1/100], Step[394/526], Loss: 0.6208
Epoch [1/100], Step[395/526], Loss: 0.6862
Epoch [1/100], Step[396/526], Loss: 0.6422
Epoch [1/100], Step[397/526], Loss: 0.5986
Epoch [1/100], Step[398/526], Loss: 0.6514
Epoch [1/100], Step[399/526], Loss: 0.6733
Epoch [1/100], Step[400/526], Loss: 0.5977
Epoch [1/100], Step[401/526], Loss: 0.6029
Epoch [1/100], Step[402/526], Loss: 0.6567
Epoch [1/100], Step[403/526], Loss: 0.6951
Epoch [1/100], Step[404/526], Loss: 0.5808
Epoch [1/100], Step[405/526], Loss: 0.5630
Epoch [1/100], Step[406/526], Loss: 0.7005
Epoch [1/100], Step[407/526], Loss: 0.7462
Epoch [1/100], Step[408/526], Loss: 0.6618
Epoch [1/100], Step[409/526], Loss: 0.5304
Epoch [1/100], Step[410/526], Loss: 0.5469
Epoch [1/100], Step[411/526], Loss: 0.5751
Epoch [1/100], Step[412/526], Loss: 0.5889
Epoch [1/100], Step[413/526], Loss: 0.6370
Epoch [1/100], Step[414/526], Loss: 0.6284
Epoch [1/100], Step[415/526], Loss: 0.6556
Epoch [1/100], Step[416/526], Loss: 0.9629
Epoch [1/100], Step[417/526], Loss: 0.8461
Epoch [1/100], Step[418/526], Loss: 0.7459
Epoch [1/100], Step[419/526], Loss: 0.6849
Epoch [1/100], Step[420/526], Loss: 0.6607
Epoch [1/100], Step[421/526], Loss: 0.6483
Epoch [1/100], Step[422/526], Loss: 0.7689
Epoch [1/100], Step[423/526], Loss: 0.7110
Epoch [1/100], Step[424/526], Loss: 0.7033
Epoch [1/100], Step[425/526], Loss: 0.6881
Epoch [1/100], Step[426/526], Loss: 0.7147
Epoch [1/100], Step[427/526], Loss: 0.6563
Epoch [1/100], Step[428/526], Loss: 0.7026
Epoch [1/100], Step[429/526], Loss: 0.6844
Epoch [1/100], Step[430/526], Loss: 0.7743
Epoch [1/100], Step[431/526], Loss: 0.7136
Epoch [1/100], Step[432/526], Loss: 0.7364
Epoch [1/100], Step[433/526], Loss: 0.7006
Epoch [1/100], Step[434/526], Loss: 0.6748
Epoch [1/100], Step[435/526], Loss: 0.7250
Epoch [1/100], Step[436/526], Loss: 0.7055
Epoch [1/100], Step[437/526], Loss: 0.5874
Epoch [1/100], Step[438/526], Loss: 0.4911
Epoch [1/100], Step[439/526], Loss: 0.7277
Epoch [1/100], Step[440/526], Loss: 0.7075
Epoch [1/100], Step[441/526], Loss: 0.7137
Epoch [1/100], Step[442/526], Loss: 0.6688
Epoch [1/100], Step[443/526], Loss: 0.6877
Epoch [1/100], Step[444/526], Loss: 0.7073
Epoch [1/100], Step[445/526], Loss: 0.6896
Epoch [1/100], Step[446/526], Loss: 0.7066
Epoch [1/100], Step[447/526], Loss: 0.6949
Epoch [1/100], Step[448/526], Loss: 0.7433
Epoch [1/100], Step[449/526], Loss: 0.7380
Epoch [1/100], Step[450/526], Loss: 0.7099
Epoch [1/100], Step[451/526], Loss: 0.6976
Epoch [1/100], Step[452/526], Loss: 0.6802
Epoch [1/100], Step[453/526], Loss: 0.6987
Epoch [1/100], Step[454/526], Loss: 0.7336
Epoch [1/100], Step[455/526], Loss: 0.7450
Epoch [1/100], Step[456/526], Loss: 0.6716
Epoch [1/100], Step[457/526], Loss: 0.6899
Epoch [1/100], Step[458/526], Loss: 0.6964
Epoch [1/100], Step[459/526], Loss: 0.7159
Epoch [1/100], Step[460/526], Loss: 0.7318
Epoch [1/100], Step[461/526], Loss: 0.6841
Epoch [1/100], Step[462/526], Loss: 0.6834
Epoch [1/100], Step[463/526], Loss: 0.6622
Epoch [1/100], Step[464/526], Loss: 0.6473
Epoch [1/100], Step[465/526], Loss: 0.6866
Epoch [1/100], Step[466/526], Loss: 0.6517
Epoch [1/100], Step[467/526], Loss: 0.6878
Epoch [1/100], Step[468/526], Loss: 0.6446
Epoch [1/100], Step[469/526], Loss: 0.7375
Epoch [1/100], Step[470/526], Loss: 0.6683
Epoch [1/100], Step[471/526], Loss: 0.7231
Epoch [1/100], Step[472/526], Loss: 0.6607
Epoch [1/100], Step[473/526], Loss: 0.6733
Epoch [1/100], Step[474/526], Loss: 0.6604
Epoch [1/100], Step[475/526], Loss: 0.6721
Epoch [1/100], Step[476/526], Loss: 0.7645
Epoch [1/100], Step[477/526], Loss: 0.6932
Epoch [1/100], Step[478/526], Loss: 0.7113
Epoch [1/100], Step[479/526], Loss: 0.7033
Epoch [1/100], Step[480/526], Loss: 0.6826
Epoch [1/100], Step[481/526], Loss: 0.6683
Epoch [1/100], Step[482/526], Loss: 0.7798
Epoch [1/100], Step[483/526], Loss: 0.7103
Epoch [1/100], Step[484/526], Loss: 0.6485
Epoch [1/100], Step[485/526], Loss: 0.6421
Epoch [1/100], Step[486/526], Loss: 0.6936
Epoch [1/100], Step[487/526], Loss: 0.6166
Epoch [1/100], Step[488/526], Loss: 0.6853
Epoch [1/100], Step[489/526], Loss: 0.7597
Epoch [1/100], Step[490/526], Loss: 0.6247
Epoch [1/100], Step[491/526], Loss: 0.6112
Epoch [1/100], Step[492/526], Loss: 0.7321
Epoch [1/100], Step[493/526], Loss: 0.6934
Epoch [1/100], Step[494/526], Loss: 0.6987
Epoch [1/100], Step[495/526], Loss: 0.6975
Epoch [1/100], Step[496/526], Loss: 0.6352
Epoch [1/100], Step[497/526], Loss: 0.6641
Epoch [1/100], Step[498/526], Loss: 0.7116
Epoch [1/100], Step[499/526], Loss: 0.6817
Epoch [1/100], Step[500/526], Loss: 0.6554
Epoch [1/100], Step[501/526], Loss: 0.7171
Epoch [1/100], Step[502/526], Loss: 0.6977
Epoch [1/100], Step[503/526], Loss: 0.7047
Epoch [1/100], Step[504/526], Loss: 0.6593
Epoch [1/100], Step[505/526], Loss: 0.7049
Epoch [1/100], Step[506/526], Loss: 0.7131
Epoch [1/100], Step[507/526], Loss: 0.6918
Epoch [1/100], Step[508/526], Loss: 0.7270
Epoch [1/100], Step[509/526], Loss: 0.6996
Epoch [1/100], Step[510/526], Loss: 0.7036
Epoch [1/100], Step[511/526], Loss: 0.6528
Epoch [1/100], Step[512/526], Loss: 0.6614
Epoch [1/100], Step[513/526], Loss: 0.7379
Epoch [1/100], Step[514/526], Loss: 0.6460
Epoch [1/100], Step[515/526], Loss: 0.6867
Epoch [1/100], Step[516/526], Loss: 0.6721
Epoch [1/100], Step[517/526], Loss: 0.6859
Epoch [1/100], Step[518/526], Loss: 0.6915
Epoch [1/100], Step[519/526], Loss: 0.7332
Epoch [1/100], Step[520/526], Loss: 0.7169
Epoch [1/100], Step[521/526], Loss: 0.6908
Epoch [1/100], Step[522/526], Loss: 0.7027
Epoch [1/100], Step[523/526], Loss: 0.6887
Epoch [1/100], Step[524/526], Loss: 0.6916
Epoch [1/100], Step[525/526], Loss: 0.7180
Epoch [1/100], Step[526/526], Loss: 0.6129
Epoch [2/100], Step[1/526], Loss: 0.6668
Epoch [2/100], Step[2/526], Loss: 0.6801
Epoch [2/100], Step[3/526], Loss: 0.6746
Epoch [2/100], Step[4/526], Loss: 0.6568
Epoch [2/100], Step[5/526], Loss: 0.7223
Epoch [2/100], Step[6/526], Loss: 0.7245
Epoch [2/100], Step[7/526], Loss: 0.7017
Epoch [2/100], Step[8/526], Loss: 0.7048
Epoch [2/100], Step[9/526], Loss: 0.7096
Epoch [2/100], Step[10/526], Loss: 0.6822
Epoch [2/100], Step[11/526], Loss: 0.6659
Epoch [2/100], Step[12/526], Loss: 0.7109
Epoch [2/100], Step[13/526], Loss: 0.6619
Epoch [2/100], Step[14/526], Loss: 0.6949
Epoch [2/100], Step[15/526], Loss: 0.6952
Epoch [2/100], Step[16/526], Loss: 0.7102
Epoch [2/100], Step[17/526], Loss: 0.6919
Epoch [2/100], Step[18/526], Loss: 0.7294
Epoch [2/100], Step[19/526], Loss: 0.6963
Epoch [2/100], Step[20/526], Loss: 0.7150
Epoch [2/100], Step[21/526], Loss: 0.7418
Epoch [2/100], Step[22/526], Loss: 0.7009
Epoch [2/100], Step[23/526], Loss: 0.7495
Epoch [2/100], Step[24/526], Loss: 0.7324
Epoch [2/100], Step[25/526], Loss: 0.7091
Epoch [2/100], Step[26/526], Loss: 0.6907
Epoch [2/100], Step[27/526], Loss: 0.7209
Epoch [2/100], Step[28/526], Loss: 0.7043
Epoch [2/100], Step[29/526], Loss: 0.6833
Epoch [2/100], Step[30/526], Loss: 0.6817
Epoch [2/100], Step[31/526], Loss: 0.7011
Epoch [2/100], Step[32/526], Loss: 0.6920
Epoch [2/100], Step[33/526], Loss: 0.7027
Epoch [2/100], Step[34/526], Loss: 0.6806
Epoch [2/100], Step[35/526], Loss: 0.6903
Epoch [2/100], Step[36/526], Loss: 0.6674
Epoch [2/100], Step[37/526], Loss: 0.7093
Epoch [2/100], Step[38/526], Loss: 0.6931
Epoch [2/100], Step[39/526], Loss: 0.7341
Epoch [2/100], Step[40/526], Loss: 0.7274
Epoch [2/100], Step[41/526], Loss: 0.6697
Epoch [2/100], Step[42/526], Loss: 0.7002
Epoch [2/100], Step[43/526], Loss: 0.7016
Epoch [2/100], Step[44/526], Loss: 0.6726
Epoch [2/100], Step[45/526], Loss: 0.6833
Epoch [2/100], Step[46/526], Loss: 0.6891
Epoch [2/100], Step[47/526], Loss: 0.7061
Epoch [2/100], Step[48/526], Loss: 0.7110
Epoch [2/100], Step[49/526], Loss: 0.6884
Epoch [2/100], Step[50/526], Loss: 0.7056
Epoch [2/100], Step[51/526], Loss: 0.6796
Epoch [2/100], Step[52/526], Loss: 0.7054
Epoch [2/100], Step[53/526], Loss: 0.7141
Epoch [2/100], Step[54/526], Loss: 0.6985
Epoch [2/100], Step[55/526], Loss: 0.7022
Epoch [2/100], Step[56/526], Loss: 0.6998
Epoch [2/100], Step[57/526], Loss: 0.6839
Epoch [2/100], Step[58/526], Loss: 0.6824
Epoch [2/100], Step[59/526], Loss: 0.6641
Epoch [2/100], Step[60/526], Loss: 0.6843
Epoch [2/100], Step[61/526], Loss: 0.6728
Epoch [2/100], Step[62/526], Loss: 0.7003
Epoch [2/100], Step[63/526], Loss: 0.6968
Epoch [2/100], Step[64/526], Loss: 0.6856
Epoch [2/100], Step[65/526], Loss: 0.6991
Epoch [2/100], Step[66/526], Loss: 0.6871
Epoch [2/100], Step[67/526], Loss: 0.6762
Epoch [2/100], Step[68/526], Loss: 0.6718
Epoch [2/100], Step[69/526], Loss: 0.7048
Epoch [2/100], Step[70/526], Loss: 0.6857
Epoch [2/100], Step[71/526], Loss: 0.6799
Epoch [2/100], Step[72/526], Loss: 0.6729
Epoch [2/100], Step[73/526], Loss: 0.6909
Epoch [2/100], Step[74/526], Loss: 0.6695
Epoch [2/100], Step[75/526], Loss: 0.7093
Epoch [2/100], Step[76/526], Loss: 0.7005
Epoch [2/100], Step[77/526], Loss: 0.6842
Epoch [2/100], Step[78/526], Loss: 0.7096
Epoch [2/100], Step[79/526], Loss: 0.6948
Epoch [2/100], Step[80/526], Loss: 0.6914
Epoch [2/100], Step[81/526], Loss: 0.7049
Epoch [2/100], Step[82/526], Loss: 0.7166
Epoch [2/100], Step[83/526], Loss: 0.7127
Epoch [2/100], Step[84/526], Loss: 0.7121
Epoch [2/100], Step[85/526], Loss: 0.6729
Epoch [2/100], Step[86/526], Loss: 0.6984
Epoch [2/100], Step[87/526], Loss: 0.6882
Epoch [2/100], Step[88/526], Loss: 0.6729
Epoch [2/100], Step[89/526], Loss: 0.7052
Epoch [2/100], Step[90/526], Loss: 0.6946
Epoch [2/100], Step[91/526], Loss: 0.6796
Epoch [2/100], Step[92/526], Loss: 0.6878
Epoch [2/100], Step[93/526], Loss: 0.6873
Epoch [2/100], Step[94/526], Loss: 0.8238
Epoch [2/100], Step[95/526], Loss: 0.7026
Epoch [2/100], Step[96/526], Loss: 0.6565
Epoch [2/100], Step[97/526], Loss: 0.6677
Epoch [2/100], Step[98/526], Loss: 0.7173
Epoch [2/100], Step[99/526], Loss: 0.7022
Epoch [2/100], Step[100/526], Loss: 0.7225
Epoch [2/100], Step[101/526], Loss: 0.6666
Epoch [2/100], Step[102/526], Loss: 0.6572
Epoch [2/100], Step[103/526], Loss: 0.6563
Epoch [2/100], Step[104/526], Loss: 0.6531
Epoch [2/100], Step[105/526], Loss: 0.6640
Epoch [2/100], Step[106/526], Loss: 0.6718
Epoch [2/100], Step[107/526], Loss: 0.6726
Epoch [2/100], Step[108/526], Loss: 0.6309
Epoch [2/100], Step[109/526], Loss: 0.6841
Epoch [2/100], Step[110/526], Loss: 0.6850
Epoch [2/100], Step[111/526], Loss: 0.6392
Epoch [2/100], Step[112/526], Loss: 0.6975
Epoch [2/100], Step[113/526], Loss: 0.6613
Epoch [2/100], Step[114/526], Loss: 0.6948
Epoch [2/100], Step[115/526], Loss: 0.6496
Epoch [2/100], Step[116/526], Loss: 0.6084
Epoch [2/100], Step[117/526], Loss: 0.6189
Epoch [2/100], Step[118/526], Loss: 0.7098
Epoch [2/100], Step[119/526], Loss: 0.6650
Epoch [2/100], Step[120/526], Loss: 0.6673
Epoch [2/100], Step[121/526], Loss: 0.6660
Epoch [2/100], Step[122/526], Loss: 0.6526
Epoch [2/100], Step[123/526], Loss: 0.6766
Epoch [2/100], Step[124/526], Loss: 0.6732
Epoch [2/100], Step[125/526], Loss: 0.6355
Epoch [2/100], Step[126/526], Loss: 0.6850
Epoch [2/100], Step[127/526], Loss: 0.7005
Epoch [2/100], Step[128/526], Loss: 0.6477
Epoch [2/100], Step[129/526], Loss: 0.6010
Epoch [2/100], Step[130/526], Loss: 0.5892
Epoch [2/100], Step[131/526], Loss: 0.6916
Epoch [2/100], Step[132/526], Loss: 0.7223
Epoch [2/100], Step[133/526], Loss: 0.7152
Epoch [2/100], Step[134/526], Loss: 0.6727
Epoch [2/100], Step[135/526], Loss: 0.6559
Epoch [2/100], Step[136/526], Loss: 0.5741
Epoch [2/100], Step[137/526], Loss: 0.6041
Epoch [2/100], Step[138/526], Loss: 0.6494
Epoch [2/100], Step[139/526], Loss: 0.6923
Epoch [2/100], Step[140/526], Loss: 0.6086
Epoch [2/100], Step[141/526], Loss: 0.6475
Epoch [2/100], Step[142/526], Loss: 0.6712
Epoch [2/100], Step[143/526], Loss: 0.6853
Epoch [2/100], Step[144/526], Loss: 0.7889
Epoch [2/100], Step[145/526], Loss: 0.6267
Epoch [2/100], Step[146/526], Loss: 0.5603
Epoch [2/100], Step[147/526], Loss: 0.5616
Epoch [2/100], Step[148/526], Loss: 0.5955
Epoch [2/100], Step[149/526], Loss: 0.5538
Epoch [2/100], Step[150/526], Loss: 0.6192
Epoch [2/100], Step[151/526], Loss: 0.5750
Epoch [2/100], Step[152/526], Loss: 0.6685
Epoch [2/100], Step[153/526], Loss: 0.6291
Epoch [2/100], Step[154/526], Loss: 0.6917
Epoch [2/100], Step[155/526], Loss: 0.6120
Epoch [2/100], Step[156/526], Loss: 0.5193
Epoch [2/100], Step[157/526], Loss: 0.3348
Epoch [2/100], Step[158/526], Loss: 0.5476
Epoch [2/100], Step[159/526], Loss: 0.5807
Epoch [2/100], Step[160/526], Loss: 0.5794
Epoch [2/100], Step[161/526], Loss: 1.2875
Epoch [2/100], Step[162/526], Loss: 0.6988
Epoch [2/100], Step[163/526], Loss: 0.7679
Epoch [2/100], Step[164/526], Loss: 0.6885
Epoch [2/100], Step[165/526], Loss: 0.7260
Epoch [2/100], Step[166/526], Loss: 0.5004
Epoch [2/100], Step[167/526], Loss: 0.5331
Epoch [2/100], Step[168/526], Loss: 0.8136
Epoch [2/100], Step[169/526], Loss: 0.8344
Epoch [2/100], Step[170/526], Loss: 0.7758
Epoch [2/100], Step[171/526], Loss: 0.7058
Epoch [2/100], Step[172/526], Loss: 0.7355
Epoch [2/100], Step[173/526], Loss: 0.7590
Epoch [2/100], Step[174/526], Loss: 0.6902
Epoch [2/100], Step[175/526], Loss: 0.6405
Epoch [2/100], Step[176/526], Loss: 0.6479
Epoch [2/100], Step[177/526], Loss: 0.6456
Epoch [2/100], Step[178/526], Loss: 0.7660
Epoch [2/100], Step[179/526], Loss: 0.6676
Epoch [2/100], Step[180/526], Loss: 0.6493
Epoch [2/100], Step[181/526], Loss: 0.6656
Epoch [2/100], Step[182/526], Loss: 0.6784
Epoch [2/100], Step[183/526], Loss: 0.5697
Epoch [2/100], Step[184/526], Loss: 0.5521
Epoch [2/100], Step[185/526], Loss: 0.5421
Epoch [2/100], Step[186/526], Loss: 0.6640
Epoch [2/100], Step[187/526], Loss: 0.7559
Epoch [2/100], Step[188/526], Loss: 0.8293
Epoch [2/100], Step[189/526], Loss: 0.7305
Epoch [2/100], Step[190/526], Loss: 0.6208
Epoch [2/100], Step[191/526], Loss: 0.7502
Epoch [2/100], Step[192/526], Loss: 0.7817
Epoch [2/100], Step[193/526], Loss: 0.6454
Epoch [2/100], Step[194/526], Loss: 0.7210
Epoch [2/100], Step[195/526], Loss: 0.6764
Epoch [2/100], Step[196/526], Loss: 0.7299
Epoch [2/100], Step[197/526], Loss: 0.6969
Epoch [2/100], Step[198/526], Loss: 0.6213
Epoch [2/100], Step[199/526], Loss: 0.6183
Epoch [2/100], Step[200/526], Loss: 0.6128
Epoch [2/100], Step[201/526], Loss: 0.7270
Epoch [2/100], Step[202/526], Loss: 0.9851
Epoch [2/100], Step[203/526], Loss: 0.6258
Epoch [2/100], Step[204/526], Loss: 0.8914
Epoch [2/100], Step[205/526], Loss: 0.8026
Epoch [2/100], Step[206/526], Loss: 0.6468
Epoch [2/100], Step[207/526], Loss: 0.7178
Epoch [2/100], Step[208/526], Loss: 0.7292
Epoch [2/100], Step[209/526], Loss: 0.7311
Epoch [2/100], Step[210/526], Loss: 0.6386
Epoch [2/100], Step[211/526], Loss: 0.5899
Epoch [2/100], Step[212/526], Loss: 0.7152
Epoch [2/100], Step[213/526], Loss: 0.7379
Epoch [2/100], Step[214/526], Loss: 0.6786
Epoch [2/100], Step[215/526], Loss: 0.7368
Epoch [2/100], Step[216/526], Loss: 0.7162
Epoch [2/100], Step[217/526], Loss: 0.7021
Epoch [2/100], Step[218/526], Loss: 0.6857
Epoch [2/100], Step[219/526], Loss: 0.6677
Epoch [2/100], Step[220/526], Loss: 0.6476
Epoch [2/100], Step[221/526], Loss: 0.7220
Epoch [2/100], Step[222/526], Loss: 0.6208
Epoch [2/100], Step[223/526], Loss: 0.6734
Epoch [2/100], Step[224/526], Loss: 0.6920
Epoch [2/100], Step[225/526], Loss: 0.6136
Epoch [2/100], Step[226/526], Loss: 0.6446
Epoch [2/100], Step[227/526], Loss: 0.6709
Epoch [2/100], Step[228/526], Loss: 0.7040
Epoch [2/100], Step[229/526], Loss: 0.7054
Epoch [2/100], Step[230/526], Loss: 0.6806
Epoch [2/100], Step[231/526], Loss: 0.6727
Epoch [2/100], Step[232/526], Loss: 0.6972
Epoch [2/100], Step[233/526], Loss: 0.6960
Epoch [2/100], Step[234/526], Loss: 0.6730
Epoch [2/100], Step[235/526], Loss: 0.6816
Epoch [2/100], Step[236/526], Loss: 0.7005
Epoch [2/100], Step[237/526], Loss: 0.7245
Epoch [2/100], Step[238/526], Loss: 0.6322
Epoch [2/100], Step[239/526], Loss: 0.6498
Epoch [2/100], Step[240/526], Loss: 0.6714
Epoch [2/100], Step[241/526], Loss: 0.6352
Epoch [2/100], Step[242/526], Loss: 0.6426
Epoch [2/100], Step[243/526], Loss: 0.6779
Epoch [2/100], Step[244/526], Loss: 0.6601
Epoch [2/100], Step[245/526], Loss: 0.6835
Epoch [2/100], Step[246/526], Loss: 0.7132
Epoch [2/100], Step[247/526], Loss: 0.6367
Epoch [2/100], Step[248/526], Loss: 0.6411
Epoch [2/100], Step[249/526], Loss: 0.6801
Epoch [2/100], Step[250/526], Loss: 0.6981
Epoch [2/100], Step[251/526], Loss: 0.6671
Epoch [2/100], Step[252/526], Loss: 0.6999
Epoch [2/100], Step[253/526], Loss: 0.6735
Epoch [2/100], Step[254/526], Loss: 0.7093
Epoch [2/100], Step[255/526], Loss: 0.6315
Epoch [2/100], Step[256/526], Loss: 0.6840
Epoch [2/100], Step[257/526], Loss: 0.5740
Epoch [2/100], Step[258/526], Loss: 0.6208
Epoch [2/100], Step[259/526], Loss: 0.6999
Epoch [2/100], Step[260/526], Loss: 0.6857
Epoch [2/100], Step[261/526], Loss: 0.6962
Epoch [2/100], Step[262/526], Loss: 0.6085
Epoch [2/100], Step[263/526], Loss: 0.6657
Epoch [2/100], Step[264/526], Loss: 0.6369
Epoch [2/100], Step[265/526], Loss: 0.5343
Epoch [2/100], Step[266/526], Loss: 0.4761
Epoch [2/100], Step[267/526], Loss: 0.5740
Epoch [2/100], Step[268/526], Loss: 0.6542
Epoch [2/100], Step[269/526], Loss: 0.5957
Epoch [2/100], Step[270/526], Loss: 0.5443
Epoch [2/100], Step[271/526], Loss: 0.5644
Epoch [2/100], Step[272/526], Loss: 0.5974
Epoch [2/100], Step[273/526], Loss: 0.6380
Epoch [2/100], Step[274/526], Loss: 0.5544
Epoch [2/100], Step[275/526], Loss: 0.5652
Epoch [2/100], Step[276/526], Loss: 0.5927
Epoch [2/100], Step[277/526], Loss: 0.5786
Epoch [2/100], Step[278/526], Loss: 0.5579
Epoch [2/100], Step[279/526], Loss: 0.5306
Epoch [2/100], Step[280/526], Loss: 0.6129
Epoch [2/100], Step[281/526], Loss: 0.6538
Epoch [2/100], Step[282/526], Loss: 0.5171
Epoch [2/100], Step[283/526], Loss: 0.4751
Epoch [2/100], Step[284/526], Loss: 0.5291
Epoch [2/100], Step[285/526], Loss: 0.4325
Epoch [2/100], Step[286/526], Loss: 0.6577
Epoch [2/100], Step[287/526], Loss: 0.6142
Epoch [2/100], Step[288/526], Loss: 0.4738
Epoch [2/100], Step[289/526], Loss: 0.6150
Epoch [2/100], Step[290/526], Loss: 0.4906
Epoch [2/100], Step[291/526], Loss: 0.5811
Epoch [2/100], Step[292/526], Loss: 0.3739
Epoch [2/100], Step[293/526], Loss: 0.4048
Epoch [2/100], Step[294/526], Loss: 0.4281
Epoch [2/100], Step[295/526], Loss: 0.4519
Epoch [2/100], Step[296/526], Loss: 0.6560
Epoch [2/100], Step[297/526], Loss: 0.3379
Epoch [2/100], Step[298/526], Loss: 0.4261
Epoch [2/100], Step[299/526], Loss: 0.3443
Epoch [2/100], Step[300/526], Loss: 0.4012
Epoch [2/100], Step[301/526], Loss: 0.5532
Epoch [2/100], Step[302/526], Loss: 0.3733
Epoch [2/100], Step[303/526], Loss: 0.4815
Epoch [2/100], Step[304/526], Loss: 0.2782
Epoch [2/100], Step[305/526], Loss: 0.4088
Epoch [2/100], Step[306/526], Loss: 0.6591
Epoch [2/100], Step[307/526], Loss: 0.8603
Epoch [2/100], Step[308/526], Loss: 1.1417
Epoch [2/100], Step[309/526], Loss: 1.0166
Epoch [2/100], Step[310/526], Loss: 0.9290
Epoch [2/100], Step[311/526], Loss: 0.7827
Epoch [2/100], Step[312/526], Loss: 0.5711
Epoch [2/100], Step[313/526], Loss: 0.4981
Epoch [2/100], Step[314/526], Loss: 0.5691
Epoch [2/100], Step[315/526], Loss: 0.7155
Epoch [2/100], Step[316/526], Loss: 0.6309
Epoch [2/100], Step[317/526], Loss: 0.3463
Epoch [2/100], Step[318/526], Loss: 0.6994
Epoch [2/100], Step[319/526], Loss: 0.4428
Epoch [2/100], Step[320/526], Loss: 0.5646
Epoch [2/100], Step[321/526], Loss: 0.8880
Epoch [2/100], Step[322/526], Loss: 0.2930
Epoch [2/100], Step[323/526], Loss: 0.6128
Epoch [2/100], Step[324/526], Loss: 0.7004
Epoch [2/100], Step[325/526], Loss: 0.6153
Epoch [2/100], Step[326/526], Loss: 0.7797
Epoch [2/100], Step[327/526], Loss: 0.8203
Epoch [2/100], Step[328/526], Loss: 0.8049
Epoch [2/100], Step[329/526], Loss: 0.9889
Epoch [2/100], Step[330/526], Loss: 0.7891
Epoch [2/100], Step[331/526], Loss: 0.9076
Epoch [2/100], Step[332/526], Loss: 0.8974
Epoch [2/100], Step[333/526], Loss: 0.7485
Epoch [2/100], Step[334/526], Loss: 0.8306
Epoch [2/100], Step[335/526], Loss: 0.8263
Epoch [2/100], Step[336/526], Loss: 0.6718
Epoch [2/100], Step[337/526], Loss: 0.6009
Epoch [2/100], Step[338/526], Loss: 0.6899
Epoch [2/100], Step[339/526], Loss: 0.6807
Epoch [2/100], Step[340/526], Loss: 0.7400
Epoch [2/100], Step[341/526], Loss: 0.7565
Epoch [2/100], Step[342/526], Loss: 0.8072
Epoch [2/100], Step[343/526], Loss: 0.6160
Epoch [2/100], Step[344/526], Loss: 0.6833
Epoch [2/100], Step[345/526], Loss: 0.7333
Epoch [2/100], Step[346/526], Loss: 0.6683
Epoch [2/100], Step[347/526], Loss: 0.7428
Epoch [2/100], Step[348/526], Loss: 0.6615
Epoch [2/100], Step[349/526], Loss: 0.6568
Epoch [2/100], Step[350/526], Loss: 0.6877
Epoch [2/100], Step[351/526], Loss: 0.7133
Epoch [2/100], Step[352/526], Loss: 0.6364
Epoch [2/100], Step[353/526], Loss: 0.7441
Epoch [2/100], Step[354/526], Loss: 0.6881
Epoch [2/100], Step[355/526], Loss: 0.7314
Epoch [2/100], Step[356/526], Loss: 0.7216
Epoch [2/100], Step[357/526], Loss: 0.6592
Epoch [2/100], Step[358/526], Loss: 0.7081
Epoch [2/100], Step[359/526], Loss: 0.6921
Epoch [2/100], Step[360/526], Loss: 0.6922
Epoch [2/100], Step[361/526], Loss: 0.7973
Epoch [2/100], Step[362/526], Loss: 0.7761
Epoch [2/100], Step[363/526], Loss: 0.6923
Epoch [2/100], Step[364/526], Loss: 0.6571
Epoch [2/100], Step[365/526], Loss: 0.6664
Epoch [2/100], Step[366/526], Loss: 0.7172
Epoch [2/100], Step[367/526], Loss: 0.7066
Epoch [2/100], Step[368/526], Loss: 0.6975
Epoch [2/100], Step[369/526], Loss: 0.7044
Epoch [2/100], Step[370/526], Loss: 0.6053
Epoch [2/100], Step[371/526], Loss: 0.7313
Epoch [2/100], Step[372/526], Loss: 0.6614
Epoch [2/100], Step[373/526], Loss: 0.6834
Epoch [2/100], Step[374/526], Loss: 0.6820
Epoch [2/100], Step[375/526], Loss: 0.6850
Epoch [2/100], Step[376/526], Loss: 0.6904
Epoch [2/100], Step[377/526], Loss: 0.6801
Epoch [2/100], Step[378/526], Loss: 0.6962
Epoch [2/100], Step[379/526], Loss: 0.7345
Epoch [2/100], Step[380/526], Loss: 0.6545
Epoch [2/100], Step[381/526], Loss: 0.6365
Epoch [2/100], Step[382/526], Loss: 0.6597
Epoch [2/100], Step[383/526], Loss: 0.6872
Epoch [2/100], Step[384/526], Loss: 0.6485
Epoch [2/100], Step[385/526], Loss: 0.6835
Epoch [2/100], Step[386/526], Loss: 0.6328
Epoch [2/100], Step[387/526], Loss: 0.6725
Epoch [2/100], Step[388/526], Loss: 0.6269
Epoch [2/100], Step[389/526], Loss: 0.6930
Epoch [2/100], Step[390/526], Loss: 0.6535
Epoch [2/100], Step[391/526], Loss: 0.6462
Epoch [2/100], Step[392/526], Loss: 0.7118
Epoch [2/100], Step[393/526], Loss: 0.6286
Epoch [2/100], Step[394/526], Loss: 0.6101
Epoch [2/100], Step[395/526], Loss: 0.6906
Epoch [2/100], Step[396/526], Loss: 0.6260
Epoch [2/100], Step[397/526], Loss: 0.5725
Epoch [2/100], Step[398/526], Loss: 0.6347
Epoch [2/100], Step[399/526], Loss: 0.6853
Epoch [2/100], Step[400/526], Loss: 0.5980
Epoch [2/100], Step[401/526], Loss: 0.5837
Epoch [2/100], Step[402/526], Loss: 0.6599
Epoch [2/100], Step[403/526], Loss: 0.7032
Epoch [2/100], Step[404/526], Loss: 0.5502
Epoch [2/100], Step[405/526], Loss: 0.5427
Epoch [2/100], Step[406/526], Loss: 0.7175
Epoch [2/100], Step[407/526], Loss: 0.7969
Epoch [2/100], Step[408/526], Loss: 0.6752
Epoch [2/100], Step[409/526], Loss: 0.5056
Epoch [2/100], Step[410/526], Loss: 0.5157
Epoch [2/100], Step[411/526], Loss: 0.5475
Epoch [2/100], Step[412/526], Loss: 0.5655
Epoch [2/100], Step[413/526], Loss: 0.6191
Epoch [2/100], Step[414/526], Loss: 0.6214
Epoch [2/100], Step[415/526], Loss: 0.6563
Epoch [2/100], Step[416/526], Loss: 0.7390
Epoch [2/100], Step[417/526], Loss: 0.6408
Epoch [2/100], Step[418/526], Loss: 0.7965
Epoch [2/100], Step[419/526], Loss: 0.6711
Epoch [2/100], Step[420/526], Loss: 0.6628
Epoch [2/100], Step[421/526], Loss: 0.6573
Epoch [2/100], Step[422/526], Loss: 0.8075
Epoch [2/100], Step[423/526], Loss: 0.7345
Epoch [2/100], Step[424/526], Loss: 0.7241
Epoch [2/100], Step[425/526], Loss: 0.6922
Epoch [2/100], Step[426/526], Loss: 0.7355
Epoch [2/100], Step[427/526], Loss: 0.6482
Epoch [2/100], Step[428/526], Loss: 0.7071
Epoch [2/100], Step[429/526], Loss: 0.6967
Epoch [2/100], Step[430/526], Loss: 0.8167
Epoch [2/100], Step[431/526], Loss: 0.7207
Epoch [2/100], Step[432/526], Loss: 0.7540
Epoch [2/100], Step[433/526], Loss: 0.7090
Epoch [2/100], Step[434/526], Loss: 0.6453
Epoch [2/100], Step[435/526], Loss: 0.7339
Epoch [2/100], Step[436/526], Loss: 0.7455
Epoch [2/100], Step[437/526], Loss: 0.5655
Epoch [2/100], Step[438/526], Loss: 0.4490
Epoch [2/100], Step[439/526], Loss: 0.7716
Epoch [2/100], Step[440/526], Loss: 0.7142
Epoch [2/100], Step[441/526], Loss: 0.7051
Epoch [2/100], Step[442/526], Loss: 0.6414
Epoch [2/100], Step[443/526], Loss: 0.6734
Epoch [2/100], Step[444/526], Loss: 0.7410
Epoch [2/100], Step[445/526], Loss: 0.6959
Epoch [2/100], Step[446/526], Loss: 0.7122
Epoch [2/100], Step[447/526], Loss: 0.7071
Epoch [2/100], Step[448/526], Loss: 0.7842
Epoch [2/100], Step[449/526], Loss: 0.7272
Epoch [2/100], Step[450/526], Loss: 0.6315
Epoch [2/100], Step[451/526], Loss: 0.6730
Epoch [2/100], Step[452/526], Loss: 0.7106
Epoch [2/100], Step[453/526], Loss: 0.7316
Epoch [2/100], Step[454/526], Loss: 0.7674
Epoch [2/100], Step[455/526], Loss: 0.6893
Epoch [2/100], Step[456/526], Loss: 0.6458
Epoch [2/100], Step[457/526], Loss: 0.6846
Epoch [2/100], Step[458/526], Loss: 0.6639
Epoch [2/100], Step[459/526], Loss: 0.6993
Epoch [2/100], Step[460/526], Loss: 0.6915
Epoch [2/100], Step[461/526], Loss: 0.6409
Epoch [2/100], Step[462/526], Loss: 0.6588
Epoch [2/100], Step[463/526], Loss: 0.6172
Epoch [2/100], Step[464/526], Loss: 0.6203
Epoch [2/100], Step[465/526], Loss: 0.6428
Epoch [2/100], Step[466/526], Loss: 0.6199
Epoch [2/100], Step[467/526], Loss: 0.6859
Epoch [2/100], Step[468/526], Loss: 0.6339
Epoch [2/100], Step[469/526], Loss: 0.8871
Epoch [2/100], Step[470/526], Loss: 0.6577
Epoch [2/100], Step[471/526], Loss: 0.7813
Epoch [2/100], Step[472/526], Loss: 0.6520
Epoch [2/100], Step[473/526], Loss: 0.6732
Epoch [2/100], Step[474/526], Loss: 0.6636
Epoch [2/100], Step[475/526], Loss: 0.7522
Epoch [2/100], Step[476/526], Loss: 0.8478
Epoch [2/100], Step[477/526], Loss: 0.7188
Epoch [2/100], Step[478/526], Loss: 0.7370
Epoch [2/100], Step[479/526], Loss: 0.7011
Epoch [2/100], Step[480/526], Loss: 0.7144
Epoch [2/100], Step[481/526], Loss: 0.6727
Epoch [2/100], Step[482/526], Loss: 0.7307
Epoch [2/100], Step[483/526], Loss: 0.6435
Epoch [2/100], Step[484/526], Loss: 0.6430
Epoch [2/100], Step[485/526], Loss: 0.7015
Epoch [2/100], Step[486/526], Loss: 0.7038
Epoch [2/100], Step[487/526], Loss: 0.6607
Epoch [2/100], Step[488/526], Loss: 0.6631
Epoch [2/100], Step[489/526], Loss: 0.6914
Epoch [2/100], Step[490/526], Loss: 0.5981
Epoch [2/100], Step[491/526], Loss: 0.6274
Epoch [2/100], Step[492/526], Loss: 0.6723
Epoch [2/100], Step[493/526], Loss: 0.6622
Epoch [2/100], Step[494/526], Loss: 0.6915
Epoch [2/100], Step[495/526], Loss: 0.7040
Epoch [2/100], Step[496/526], Loss: 0.6295
Epoch [2/100], Step[497/526], Loss: 0.6543
Epoch [2/100], Step[498/526], Loss: 0.7123
Epoch [2/100], Step[499/526], Loss: 0.6798
Epoch [2/100], Step[500/526], Loss: 0.6574
Epoch [2/100], Step[501/526], Loss: 0.6939
Epoch [2/100], Step[502/526], Loss: 0.7039
Epoch [2/100], Step[503/526], Loss: 0.7021
Epoch [2/100], Step[504/526], Loss: 0.6662
Epoch [2/100], Step[505/526], Loss: 0.7184
Epoch [2/100], Step[506/526], Loss: 0.7168
Epoch [2/100], Step[507/526], Loss: 0.6946
Epoch [2/100], Step[508/526], Loss: 0.7264
Epoch [2/100], Step[509/526], Loss: 0.6965
Epoch [2/100], Step[510/526], Loss: 0.7081
Epoch [2/100], Step[511/526], Loss: 0.6391
Epoch [2/100], Step[512/526], Loss: 0.6595
Epoch [2/100], Step[513/526], Loss: 0.6890
Epoch [2/100], Step[514/526], Loss: 0.6319
Epoch [2/100], Step[515/526], Loss: 0.6244
Epoch [2/100], Step[516/526], Loss: 0.7160
Epoch [2/100], Step[517/526], Loss: 0.7019
Epoch [2/100], Step[518/526], Loss: 0.7087
Epoch [2/100], Step[519/526], Loss: 0.7442
Epoch [2/100], Step[520/526], Loss: 0.7095
Epoch [2/100], Step[521/526], Loss: 0.6784
Epoch [2/100], Step[522/526], Loss: 0.6811
Epoch [2/100], Step[523/526], Loss: 0.6927
Epoch [2/100], Step[524/526], Loss: 0.6909
Epoch [2/100], Step[525/526], Loss: 0.7342
Epoch [2/100], Step[526/526], Loss: 0.6313
Epoch [3/100], Step[1/526], Loss: 0.6520
Epoch [3/100], Step[2/526], Loss: 0.6609
Epoch [3/100], Step[3/526], Loss: 0.6724
Epoch [3/100], Step[4/526], Loss: 0.6372
Epoch [3/100], Step[5/526], Loss: 0.7291
Epoch [3/100], Step[6/526], Loss: 0.7325
Epoch [3/100], Step[7/526], Loss: 0.7039
Epoch [3/100], Step[8/526], Loss: 0.7090
Epoch [3/100], Step[9/526], Loss: 0.7126
Epoch [3/100], Step[10/526], Loss: 0.6784
Epoch [3/100], Step[11/526], Loss: 0.6622
Epoch [3/100], Step[12/526], Loss: 0.7178
Epoch [3/100], Step[13/526], Loss: 0.6564
Epoch [3/100], Step[14/526], Loss: 0.6984
Epoch [3/100], Step[15/526], Loss: 0.6931
Epoch [3/100], Step[16/526], Loss: 0.7032
Epoch [3/100], Step[17/526], Loss: 0.6894
Epoch [3/100], Step[18/526], Loss: 0.7365
Epoch [3/100], Step[19/526], Loss: 0.6977
Epoch [3/100], Step[20/526], Loss: 0.7133
Epoch [3/100], Step[21/526], Loss: 0.7590
Epoch [3/100], Step[22/526], Loss: 0.6914
Epoch [3/100], Step[23/526], Loss: 0.7517
Epoch [3/100], Step[24/526], Loss: 0.7366
Epoch [3/100], Step[25/526], Loss: 0.7058
Epoch [3/100], Step[26/526], Loss: 0.6789
Epoch [3/100], Step[27/526], Loss: 0.7253
Epoch [3/100], Step[28/526], Loss: 0.7057
Epoch [3/100], Step[29/526], Loss: 0.6676
Epoch [3/100], Step[30/526], Loss: 0.6816
Epoch [3/100], Step[31/526], Loss: 0.7046
Epoch [3/100], Step[32/526], Loss: 0.6764
Epoch [3/100], Step[33/526], Loss: 0.7057
Epoch [3/100], Step[34/526], Loss: 0.6684
Epoch [3/100], Step[35/526], Loss: 0.6936
Epoch [3/100], Step[36/526], Loss: 0.6551
Epoch [3/100], Step[37/526], Loss: 0.7150
Epoch [3/100], Step[38/526], Loss: 0.7020
Epoch [3/100], Step[39/526], Loss: 0.7439
Epoch [3/100], Step[40/526], Loss: 0.7251
Epoch [3/100], Step[41/526], Loss: 0.6567
Epoch [3/100], Step[42/526], Loss: 0.7115
Epoch [3/100], Step[43/526], Loss: 0.7115
Epoch [3/100], Step[44/526], Loss: 0.6728
Epoch [3/100], Step[45/526], Loss: 0.6886
Epoch [3/100], Step[46/526], Loss: 0.6838
Epoch [3/100], Step[47/526], Loss: 0.6999
Epoch [3/100], Step[48/526], Loss: 0.7100
Epoch [3/100], Step[49/526], Loss: 0.6812
Epoch [3/100], Step[50/526], Loss: 0.7110
Epoch [3/100], Step[51/526], Loss: 0.6832
Epoch [3/100], Step[52/526], Loss: 0.7116
Epoch [3/100], Step[53/526], Loss: 0.7237
Epoch [3/100], Step[54/526], Loss: 0.7062
Epoch [3/100], Step[55/526], Loss: 0.7042
Epoch [3/100], Step[56/526], Loss: 0.6980
Epoch [3/100], Step[57/526], Loss: 0.6827
Epoch [3/100], Step[58/526], Loss: 0.6786
Epoch [3/100], Step[59/526], Loss: 0.6637
Epoch [3/100], Step[60/526], Loss: 0.6781
Epoch [3/100], Step[61/526], Loss: 0.6585
Epoch [3/100], Step[62/526], Loss: 0.7011
Epoch [3/100], Step[63/526], Loss: 0.6937
Epoch [3/100], Step[64/526], Loss: 0.6825
Epoch [3/100], Step[65/526], Loss: 0.6940
Epoch [3/100], Step[66/526], Loss: 0.6890
Epoch [3/100], Step[67/526], Loss: 0.6641
Epoch [3/100], Step[68/526], Loss: 0.6633
Epoch [3/100], Step[69/526], Loss: 0.7064
Epoch [3/100], Step[70/526], Loss: 0.6882
Epoch [3/100], Step[71/526], Loss: 0.6734
Epoch [3/100], Step[72/526], Loss: 0.6703
Epoch [3/100], Step[73/526], Loss: 0.6934
Epoch [3/100], Step[74/526], Loss: 0.6645
Epoch [3/100], Step[75/526], Loss: 0.7119
Epoch [3/100], Step[76/526], Loss: 0.6968
Epoch [3/100], Step[77/526], Loss: 0.6825
Epoch [3/100], Step[78/526], Loss: 0.7097
Epoch [3/100], Step[79/526], Loss: 0.6934
Epoch [3/100], Step[80/526], Loss: 0.6926
Epoch [3/100], Step[81/526], Loss: 0.6991
Epoch [3/100], Step[82/526], Loss: 0.7277
Epoch [3/100], Step[83/526], Loss: 0.7173
Epoch [3/100], Step[84/526], Loss: 0.7038
Epoch [3/100], Step[85/526], Loss: 0.6724
Epoch [3/100], Step[86/526], Loss: 0.7024
Epoch [3/100], Step[87/526], Loss: 0.6890
Epoch [3/100], Step[88/526], Loss: 0.6632
Epoch [3/100], Step[89/526], Loss: 0.7105
Epoch [3/100], Step[90/526], Loss: 0.6974
Epoch [3/100], Step[91/526], Loss: 0.6697
Epoch [3/100], Step[92/526], Loss: 0.6930
Epoch [3/100], Step[93/526], Loss: 0.6865
Epoch [3/100], Step[94/526], Loss: 0.8086
Epoch [3/100], Step[95/526], Loss: 0.7090
Epoch [3/100], Step[96/526], Loss: 0.6588
Epoch [3/100], Step[97/526], Loss: 0.6532
Epoch [3/100], Step[98/526], Loss: 0.7233
Epoch [3/100], Step[99/526], Loss: 0.6983
Epoch [3/100], Step[100/526], Loss: 0.6900
Epoch [3/100], Step[101/526], Loss: 0.6645
Epoch [3/100], Step[102/526], Loss: 0.6533
Epoch [3/100], Step[103/526], Loss: 0.6384
Epoch [3/100], Step[104/526], Loss: 0.6411
Epoch [3/100], Step[105/526], Loss: 0.6642
Epoch [3/100], Step[106/526], Loss: 0.6588
Epoch [3/100], Step[107/526], Loss: 0.6632
Epoch [3/100], Step[108/526], Loss: 0.6063
Epoch [3/100], Step[109/526], Loss: 0.6770
Epoch [3/100], Step[110/526], Loss: 0.6909
Epoch [3/100], Step[111/526], Loss: 0.6232
Epoch [3/100], Step[112/526], Loss: 0.6969
Epoch [3/100], Step[113/526], Loss: 0.6449
Epoch [3/100], Step[114/526], Loss: 0.6921
Epoch [3/100], Step[115/526], Loss: 0.6369
Epoch [3/100], Step[116/526], Loss: 0.5896
Epoch [3/100], Step[117/526], Loss: 0.6119
Epoch [3/100], Step[118/526], Loss: 0.7093
Epoch [3/100], Step[119/526], Loss: 0.6679
Epoch [3/100], Step[120/526], Loss: 0.6540
Epoch [3/100], Step[121/526], Loss: 0.6705
Epoch [3/100], Step[122/526], Loss: 0.6409
Epoch [3/100], Step[123/526], Loss: 0.6716
Epoch [3/100], Step[124/526], Loss: 0.6742
Epoch [3/100], Step[125/526], Loss: 0.6363
Epoch [3/100], Step[126/526], Loss: 0.6794
Epoch [3/100], Step[127/526], Loss: 0.6972
Epoch [3/100], Step[128/526], Loss: 0.6348
Epoch [3/100], Step[129/526], Loss: 0.5820
Epoch [3/100], Step[130/526], Loss: 0.6047
Epoch [3/100], Step[131/526], Loss: 0.6831
Epoch [3/100], Step[132/526], Loss: 0.7179
Epoch [3/100], Step[133/526], Loss: 0.7002
Epoch [3/100], Step[134/526], Loss: 0.6579
Epoch [3/100], Step[135/526], Loss: 0.6464
Epoch [3/100], Step[136/526], Loss: 0.5603
Epoch [3/100], Step[137/526], Loss: 0.5855
Epoch [3/100], Step[138/526], Loss: 0.6327
Epoch [3/100], Step[139/526], Loss: 0.6908
Epoch [3/100], Step[140/526], Loss: 0.5905
Epoch [3/100], Step[141/526], Loss: 0.6544
Epoch [3/100], Step[142/526], Loss: 0.6705
Epoch [3/100], Step[143/526], Loss: 0.6891
Epoch [3/100], Step[144/526], Loss: 0.8117
Epoch [3/100], Step[145/526], Loss: 0.6329
Epoch [3/100], Step[146/526], Loss: 0.5525
Epoch [3/100], Step[147/526], Loss: 0.5725
Epoch [3/100], Step[148/526], Loss: 0.6022
Epoch [3/100], Step[149/526], Loss: 0.5626
Epoch [3/100], Step[150/526], Loss: 0.6395
Epoch [3/100], Step[151/526], Loss: 0.5946
Epoch [3/100], Step[152/526], Loss: 0.6901
Epoch [3/100], Step[153/526], Loss: 0.6454
Epoch [3/100], Step[154/526], Loss: 0.7049
Epoch [3/100], Step[155/526], Loss: 0.6443
Epoch [3/100], Step[156/526], Loss: 0.5571
Epoch [3/100], Step[157/526], Loss: 0.3760
Epoch [3/100], Step[158/526], Loss: 0.5788
Epoch [3/100], Step[159/526], Loss: 0.6143
Epoch [3/100], Step[160/526], Loss: 0.5912
Epoch [3/100], Step[161/526], Loss: 1.1928
Epoch [3/100], Step[162/526], Loss: 0.7002
Epoch [3/100], Step[163/526], Loss: 0.7477
Epoch [3/100], Step[164/526], Loss: 0.6501
Epoch [3/100], Step[165/526], Loss: 0.7239
Epoch [3/100], Step[166/526], Loss: 0.5332
Epoch [3/100], Step[167/526], Loss: 0.5794
Epoch [3/100], Step[168/526], Loss: 0.7553
Epoch [3/100], Step[169/526], Loss: 0.8159
Epoch [3/100], Step[170/526], Loss: 0.7474
Epoch [3/100], Step[171/526], Loss: 0.6955
Epoch [3/100], Step[172/526], Loss: 0.7343
Epoch [3/100], Step[173/526], Loss: 0.7788
Epoch [3/100], Step[174/526], Loss: 0.6404
Epoch [3/100], Step[175/526], Loss: 0.6484
Epoch [3/100], Step[176/526], Loss: 0.6534
Epoch [3/100], Step[177/526], Loss: 0.6529
Epoch [3/100], Step[178/526], Loss: 0.7397
Epoch [3/100], Step[179/526], Loss: 0.6645
Epoch [3/100], Step[180/526], Loss: 0.6534
Epoch [3/100], Step[181/526], Loss: 0.6571
Epoch [3/100], Step[182/526], Loss: 0.6988
Epoch [3/100], Step[183/526], Loss: 0.5557
Epoch [3/100], Step[184/526], Loss: 0.5716
Epoch [3/100], Step[185/526], Loss: 0.5535
Epoch [3/100], Step[186/526], Loss: 0.6604
Epoch [3/100], Step[187/526], Loss: 0.7310
Epoch [3/100], Step[188/526], Loss: 0.7690
Epoch [3/100], Step[189/526], Loss: 0.7129
Epoch [3/100], Step[190/526], Loss: 0.6023
Epoch [3/100], Step[191/526], Loss: 0.7381
Epoch [3/100], Step[192/526], Loss: 0.7378
Epoch [3/100], Step[193/526], Loss: 0.6535
Epoch [3/100], Step[194/526], Loss: 0.6851
Epoch [3/100], Step[195/526], Loss: 0.6647
Epoch [3/100], Step[196/526], Loss: 0.6939
Epoch [3/100], Step[197/526], Loss: 0.7057
Epoch [3/100], Step[198/526], Loss: 0.6091
Epoch [3/100], Step[199/526], Loss: 0.6695
Epoch [3/100], Step[200/526], Loss: 0.6101
Epoch [3/100], Step[201/526], Loss: 0.7107
Epoch [3/100], Step[202/526], Loss: 0.9046
Epoch [3/100], Step[203/526], Loss: 0.6432
Epoch [3/100], Step[204/526], Loss: 0.8270
Epoch [3/100], Step[205/526], Loss: 0.7546
Epoch [3/100], Step[206/526], Loss: 0.6374
Epoch [3/100], Step[207/526], Loss: 0.7179
Epoch [3/100], Step[208/526], Loss: 0.7061
Epoch [3/100], Step[209/526], Loss: 0.7079
Epoch [3/100], Step[210/526], Loss: 0.6952
Epoch [3/100], Step[211/526], Loss: 0.5567
Epoch [3/100], Step[212/526], Loss: 0.7002
Epoch [3/100], Step[213/526], Loss: 0.7430
Epoch [3/100], Step[214/526], Loss: 0.6932
Epoch [3/100], Step[215/526], Loss: 0.7381
Epoch [3/100], Step[216/526], Loss: 0.7084
Epoch [3/100], Step[217/526], Loss: 0.6985
Epoch [3/100], Step[218/526], Loss: 0.6890
Epoch [3/100], Step[219/526], Loss: 0.6657
Epoch [3/100], Step[220/526], Loss: 0.6463
Epoch [3/100], Step[221/526], Loss: 0.7367
Epoch [3/100], Step[222/526], Loss: 0.6039
Epoch [3/100], Step[223/526], Loss: 0.6744
Epoch [3/100], Step[224/526], Loss: 0.6937
Epoch [3/100], Step[225/526], Loss: 0.5944
Epoch [3/100], Step[226/526], Loss: 0.6217
Epoch [3/100], Step[227/526], Loss: 0.6699
Epoch [3/100], Step[228/526], Loss: 0.7027
Epoch [3/100], Step[229/526], Loss: 0.7078
Epoch [3/100], Step[230/526], Loss: 0.6725
Epoch [3/100], Step[231/526], Loss: 0.6640
Epoch [3/100], Step[232/526], Loss: 0.7018
Epoch [3/100], Step[233/526], Loss: 0.7073
Epoch [3/100], Step[234/526], Loss: 0.6695
Epoch [3/100], Step[235/526], Loss: 0.6912
Epoch [3/100], Step[236/526], Loss: 0.7134
Epoch [3/100], Step[237/526], Loss: 0.7391
Epoch [3/100], Step[238/526], Loss: 0.6130
Epoch [3/100], Step[239/526], Loss: 0.6342
Epoch [3/100], Step[240/526], Loss: 0.6756
Epoch [3/100], Step[241/526], Loss: 0.6230
Epoch [3/100], Step[242/526], Loss: 0.6459
Epoch [3/100], Step[243/526], Loss: 0.6808
Epoch [3/100], Step[244/526], Loss: 0.6513
Epoch [3/100], Step[245/526], Loss: 0.6835
Epoch [3/100], Step[246/526], Loss: 0.7142
Epoch [3/100], Step[247/526], Loss: 0.6213
Epoch [3/100], Step[248/526], Loss: 0.6300
Epoch [3/100], Step[249/526], Loss: 0.6747
Epoch [3/100], Step[250/526], Loss: 0.7033
Epoch [3/100], Step[251/526], Loss: 0.6604
Epoch [3/100], Step[252/526], Loss: 0.7079
Epoch [3/100], Step[253/526], Loss: 0.6672
Epoch [3/100], Step[254/526], Loss: 0.7137
Epoch [3/100], Step[255/526], Loss: 0.6183
Epoch [3/100], Step[256/526], Loss: 0.6841
Epoch [3/100], Step[257/526], Loss: 0.5686
Epoch [3/100], Step[258/526], Loss: 0.6086
Epoch [3/100], Step[259/526], Loss: 0.6972
Epoch [3/100], Step[260/526], Loss: 0.6947
Epoch [3/100], Step[261/526], Loss: 0.7068
Epoch [3/100], Step[262/526], Loss: 0.6043
Epoch [3/100], Step[263/526], Loss: 0.6636
Epoch [3/100], Step[264/526], Loss: 0.6305
Epoch [3/100], Step[265/526], Loss: 0.5201
Epoch [3/100], Step[266/526], Loss: 0.4647
Epoch [3/100], Step[267/526], Loss: 0.5672
Epoch [3/100], Step[268/526], Loss: 0.6344
Epoch [3/100], Step[269/526], Loss: 0.5643
Epoch [3/100], Step[270/526], Loss: 0.5189
Epoch [3/100], Step[271/526], Loss: 0.5551
Epoch [3/100], Step[272/526], Loss: 0.5881
Epoch [3/100], Step[273/526], Loss: 0.6367
Epoch [3/100], Step[274/526], Loss: 0.5424
Epoch [3/100], Step[275/526], Loss: 0.5432
Epoch [3/100], Step[276/526], Loss: 0.5779
Epoch [3/100], Step[277/526], Loss: 0.5568
Epoch [3/100], Step[278/526], Loss: 0.5422
Epoch [3/100], Step[279/526], Loss: 0.5273
Epoch [3/100], Step[280/526], Loss: 0.5923
Epoch [3/100], Step[281/526], Loss: 0.6355
Epoch [3/100], Step[282/526], Loss: 0.5107
Epoch [3/100], Step[283/526], Loss: 0.4663
Epoch [3/100], Step[284/526], Loss: 0.5439
Epoch [3/100], Step[285/526], Loss: 0.4463
Epoch [3/100], Step[286/526], Loss: 0.6668
Epoch [3/100], Step[287/526], Loss: 0.6235
Epoch [3/100], Step[288/526], Loss: 0.4884
Epoch [3/100], Step[289/526], Loss: 0.6190
Epoch [3/100], Step[290/526], Loss: 0.5175
Epoch [3/100], Step[291/526], Loss: 0.6017
Epoch [3/100], Step[292/526], Loss: 0.4395
Epoch [3/100], Step[293/526], Loss: 0.4291
Epoch [3/100], Step[294/526], Loss: 0.4661
Epoch [3/100], Step[295/526], Loss: 0.4892
Epoch [3/100], Step[296/526], Loss: 0.6463
Epoch [3/100], Step[297/526], Loss: 0.3901
Epoch [3/100], Step[298/526], Loss: 0.4739
Epoch [3/100], Step[299/526], Loss: 0.3784
Epoch [3/100], Step[300/526], Loss: 0.4161
Epoch [3/100], Step[301/526], Loss: 0.5766
Epoch [3/100], Step[302/526], Loss: 0.4250
Epoch [3/100], Step[303/526], Loss: 0.5214
Epoch [3/100], Step[304/526], Loss: 0.3184
Epoch [3/100], Step[305/526], Loss: 0.4301
Epoch [3/100], Step[306/526], Loss: 0.6468
Epoch [3/100], Step[307/526], Loss: 0.8491
Epoch [3/100], Step[308/526], Loss: 1.0012
Epoch [3/100], Step[309/526], Loss: 0.9501
Epoch [3/100], Step[310/526], Loss: 0.8568
Epoch [3/100], Step[311/526], Loss: 0.7754
Epoch [3/100], Step[312/526], Loss: 0.5478
Epoch [3/100], Step[313/526], Loss: 0.5093
Epoch [3/100], Step[314/526], Loss: 0.5751
Epoch [3/100], Step[315/526], Loss: 0.6934
Epoch [3/100], Step[316/526], Loss: 0.5850
Epoch [3/100], Step[317/526], Loss: 0.3423
Epoch [3/100], Step[318/526], Loss: 0.7120
Epoch [3/100], Step[319/526], Loss: 0.4423
Epoch [3/100], Step[320/526], Loss: 0.5868
Epoch [3/100], Step[321/526], Loss: 0.8533
Epoch [3/100], Step[322/526], Loss: 0.3248
Epoch [3/100], Step[323/526], Loss: 0.5952
Epoch [3/100], Step[324/526], Loss: 0.7178
Epoch [3/100], Step[325/526], Loss: 0.6116
Epoch [3/100], Step[326/526], Loss: 0.7776
Epoch [3/100], Step[327/526], Loss: 0.8824
Epoch [3/100], Step[328/526], Loss: 0.7863
Epoch [3/100], Step[329/526], Loss: 1.0457
Epoch [3/100], Step[330/526], Loss: 0.8070
Epoch [3/100], Step[331/526], Loss: 0.9064
Epoch [3/100], Step[332/526], Loss: 0.9548
Epoch [3/100], Step[333/526], Loss: 0.7367
Epoch [3/100], Step[334/526], Loss: 0.8975
Epoch [3/100], Step[335/526], Loss: 0.8614
Epoch [3/100], Step[336/526], Loss: 0.6855
Epoch [3/100], Step[337/526], Loss: 0.5822
Epoch [3/100], Step[338/526], Loss: 0.7044
Epoch [3/100], Step[339/526], Loss: 0.6780
Epoch [3/100], Step[340/526], Loss: 0.7542
Epoch [3/100], Step[341/526], Loss: 0.7889
Epoch [3/100], Step[342/526], Loss: 0.8259
Epoch [3/100], Step[343/526], Loss: 0.6107
Epoch [3/100], Step[344/526], Loss: 0.7074
Epoch [3/100], Step[345/526], Loss: 0.7463
Epoch [3/100], Step[346/526], Loss: 0.6659
Epoch [3/100], Step[347/526], Loss: 0.7490
Epoch [3/100], Step[348/526], Loss: 0.6360
Epoch [3/100], Step[349/526], Loss: 0.6253
Epoch [3/100], Step[350/526], Loss: 0.7007
Epoch [3/100], Step[351/526], Loss: 0.7281
Epoch [3/100], Step[352/526], Loss: 0.6103
Epoch [3/100], Step[353/526], Loss: 0.7748
Epoch [3/100], Step[354/526], Loss: 0.6828
Epoch [3/100], Step[355/526], Loss: 0.7432
Epoch [3/100], Step[356/526], Loss: 0.7443
Epoch [3/100], Step[357/526], Loss: 0.6619
Epoch [3/100], Step[358/526], Loss: 0.7223
Epoch [3/100], Step[359/526], Loss: 0.6948
Epoch [3/100], Step[360/526], Loss: 0.6901
Epoch [3/100], Step[361/526], Loss: 0.8811
Epoch [3/100], Step[362/526], Loss: 0.8275
Epoch [3/100], Step[363/526], Loss: 0.6827
Epoch [3/100], Step[364/526], Loss: 0.6821
Epoch [3/100], Step[365/526], Loss: 0.6953
Epoch [3/100], Step[366/526], Loss: 0.7140
Epoch [3/100], Step[367/526], Loss: 0.7032
Epoch [3/100], Step[368/526], Loss: 0.6390
Epoch [3/100], Step[369/526], Loss: 0.6690
Epoch [3/100], Step[370/526], Loss: 0.5517
Epoch [3/100], Step[371/526], Loss: 0.7440
Epoch [3/100], Step[372/526], Loss: 0.6590
Epoch [3/100], Step[373/526], Loss: 0.6859
Epoch [3/100], Step[374/526], Loss: 0.6854
Epoch [3/100], Step[375/526], Loss: 0.6943
Epoch [3/100], Step[376/526], Loss: 0.6833
Epoch [3/100], Step[377/526], Loss: 0.6891
Epoch [3/100], Step[378/526], Loss: 0.7034
Epoch [3/100], Step[379/526], Loss: 0.7224
Epoch [3/100], Step[380/526], Loss: 0.6484
Epoch [3/100], Step[381/526], Loss: 0.6298
Epoch [3/100], Step[382/526], Loss: 0.6550
Epoch [3/100], Step[383/526], Loss: 0.6903
Epoch [3/100], Step[384/526], Loss: 0.6493
Epoch [3/100], Step[385/526], Loss: 0.6747
Epoch [3/100], Step[386/526], Loss: 0.6634
Epoch [3/100], Step[387/526], Loss: 0.6658
Epoch [3/100], Step[388/526], Loss: 0.6100
Epoch [3/100], Step[389/526], Loss: 0.7076
Epoch [3/100], Step[390/526], Loss: 0.6068
Epoch [3/100], Step[391/526], Loss: 0.6339
Epoch [3/100], Step[392/526], Loss: 0.6883
Epoch [3/100], Step[393/526], Loss: 0.6008
Epoch [3/100], Step[394/526], Loss: 0.5399
Epoch [3/100], Step[395/526], Loss: 0.6872
Epoch [3/100], Step[396/526], Loss: 0.6176
Epoch [3/100], Step[397/526], Loss: 0.5174
Epoch [3/100], Step[398/526], Loss: 0.6195
Epoch [3/100], Step[399/526], Loss: 0.6759
Epoch [3/100], Step[400/526], Loss: 0.5402
Epoch [3/100], Step[401/526], Loss: 0.5537
Epoch [3/100], Step[402/526], Loss: 0.6294
Epoch [3/100], Step[403/526], Loss: 0.7158
Epoch [3/100], Step[404/526], Loss: 0.5161
Epoch [3/100], Step[405/526], Loss: 0.4942
Epoch [3/100], Step[406/526], Loss: 0.7318
Epoch [3/100], Step[407/526], Loss: 0.8255
Epoch [3/100], Step[408/526], Loss: 0.6638
Epoch [3/100], Step[409/526], Loss: 0.4619
Epoch [3/100], Step[410/526], Loss: 0.4805
Epoch [3/100], Step[411/526], Loss: 0.5282
Epoch [3/100], Step[412/526], Loss: 0.5437
Epoch [3/100], Step[413/526], Loss: 0.5921
Epoch [3/100], Step[414/526], Loss: 0.6143
Epoch [3/100], Step[415/526], Loss: 0.6641
Epoch [3/100], Step[416/526], Loss: 0.6333
Epoch [3/100], Step[417/526], Loss: 0.5378
Epoch [3/100], Step[418/526], Loss: 0.8349
Epoch [3/100], Step[419/526], Loss: 0.6717
Epoch [3/100], Step[420/526], Loss: 0.6749
Epoch [3/100], Step[421/526], Loss: 0.6127
Epoch [3/100], Step[422/526], Loss: 0.7887
Epoch [3/100], Step[423/526], Loss: 0.7591
Epoch [3/100], Step[424/526], Loss: 0.7302
Epoch [3/100], Step[425/526], Loss: 0.6849
Epoch [3/100], Step[426/526], Loss: 0.7872
Epoch [3/100], Step[427/526], Loss: 0.6268
Epoch [3/100], Step[428/526], Loss: 0.6978
Epoch [3/100], Step[429/526], Loss: 0.7149
Epoch [3/100], Step[430/526], Loss: 0.8303
Epoch [3/100], Step[431/526], Loss: 0.7515
Epoch [3/100], Step[432/526], Loss: 0.7859
Epoch [3/100], Step[433/526], Loss: 0.7318
Epoch [3/100], Step[434/526], Loss: 0.6241
Epoch [3/100], Step[435/526], Loss: 0.7396
Epoch [3/100], Step[436/526], Loss: 0.7699
Epoch [3/100], Step[437/526], Loss: 0.5902
Epoch [3/100], Step[438/526], Loss: 0.4338
Epoch [3/100], Step[439/526], Loss: 0.7707
Epoch [3/100], Step[440/526], Loss: 0.7118
Epoch [3/100], Step[441/526], Loss: 0.6968
Epoch [3/100], Step[442/526], Loss: 0.6285
Epoch [3/100], Step[443/526], Loss: 0.6635
Epoch [3/100], Step[444/526], Loss: 0.7637
Epoch [3/100], Step[445/526], Loss: 0.7000
Epoch [3/100], Step[446/526], Loss: 0.7381
Epoch [3/100], Step[447/526], Loss: 0.7124
Epoch [3/100], Step[448/526], Loss: 0.8459
Epoch [3/100], Step[449/526], Loss: 0.7303
Epoch [3/100], Step[450/526], Loss: 0.5754
Epoch [3/100], Step[451/526], Loss: 0.6239
Epoch [3/100], Step[452/526], Loss: 0.7149
Epoch [3/100], Step[453/526], Loss: 0.7455
Epoch [3/100], Step[454/526], Loss: 0.8244
Epoch [3/100], Step[455/526], Loss: 0.6516
Epoch [3/100], Step[456/526], Loss: 0.6425
Epoch [3/100], Step[457/526], Loss: 0.6894
Epoch [3/100], Step[458/526], Loss: 0.6881
Epoch [3/100], Step[459/526], Loss: 0.6928
Epoch [3/100], Step[460/526], Loss: 0.6832
Epoch [3/100], Step[461/526], Loss: 0.6436
Epoch [3/100], Step[462/526], Loss: 0.6712
Epoch [3/100], Step[463/526], Loss: 0.6136
Epoch [3/100], Step[464/526], Loss: 0.6368
Epoch [3/100], Step[465/526], Loss: 0.6612
Epoch [3/100], Step[466/526], Loss: 0.6493
Epoch [3/100], Step[467/526], Loss: 0.6481
Epoch [3/100], Step[468/526], Loss: 0.6319
Epoch [3/100], Step[469/526], Loss: 0.8299
Epoch [3/100], Step[470/526], Loss: 0.6316
Epoch [3/100], Step[471/526], Loss: 0.7183
Epoch [3/100], Step[472/526], Loss: 0.6517
Epoch [3/100], Step[473/526], Loss: 0.6755
Epoch [3/100], Step[474/526], Loss: 0.6654
Epoch [3/100], Step[475/526], Loss: 0.7770
Epoch [3/100], Step[476/526], Loss: 0.7486
Epoch [3/100], Step[477/526], Loss: 0.6853
Epoch [3/100], Step[478/526], Loss: 0.6985
Epoch [3/100], Step[479/526], Loss: 0.6878
Epoch [3/100], Step[480/526], Loss: 0.7044
Epoch [3/100], Step[481/526], Loss: 0.6624
Epoch [3/100], Step[482/526], Loss: 0.6820
Epoch [3/100], Step[483/526], Loss: 0.6020
Epoch [3/100], Step[484/526], Loss: 0.6551
Epoch [3/100], Step[485/526], Loss: 0.7366
Epoch [3/100], Step[486/526], Loss: 0.7007
Epoch [3/100], Step[487/526], Loss: 0.6581
Epoch [3/100], Step[488/526], Loss: 0.6580
Epoch [3/100], Step[489/526], Loss: 0.6839
Epoch [3/100], Step[490/526], Loss: 0.5910
Epoch [3/100], Step[491/526], Loss: 0.6324
Epoch [3/100], Step[492/526], Loss: 0.6725
Epoch [3/100], Step[493/526], Loss: 0.6318
Epoch [3/100], Step[494/526], Loss: 0.7004
Epoch [3/100], Step[495/526], Loss: 0.6900
Epoch [3/100], Step[496/526], Loss: 0.6387
Epoch [3/100], Step[497/526], Loss: 0.6641
Epoch [3/100], Step[498/526], Loss: 0.7091
Epoch [3/100], Step[499/526], Loss: 0.6723
Epoch [3/100], Step[500/526], Loss: 0.6626
Epoch [3/100], Step[501/526], Loss: 0.6998
Epoch [3/100], Step[502/526], Loss: 0.7044
Epoch [3/100], Step[503/526], Loss: 0.7054
Epoch [3/100], Step[504/526], Loss: 0.6610
Epoch [3/100], Step[505/526], Loss: 0.7244
Epoch [3/100], Step[506/526], Loss: 0.7171
Epoch [3/100], Step[507/526], Loss: 0.6968
Epoch [3/100], Step[508/526], Loss: 0.7332
Epoch [3/100], Step[509/526], Loss: 0.7126
Epoch [3/100], Step[510/526], Loss: 0.7134
Epoch [3/100], Step[511/526], Loss: 0.6435
Epoch [3/100], Step[512/526], Loss: 0.6624
Epoch [3/100], Step[513/526], Loss: 0.7023
Epoch [3/100], Step[514/526], Loss: 0.6324
Epoch [3/100], Step[515/526], Loss: 0.6087
Epoch [3/100], Step[516/526], Loss: 0.7247
Epoch [3/100], Step[517/526], Loss: 0.7233
Epoch [3/100], Step[518/526], Loss: 0.7401
Epoch [3/100], Step[519/526], Loss: 0.7410
Epoch [3/100], Step[520/526], Loss: 0.7162
Epoch [3/100], Step[521/526], Loss: 0.6678
Epoch [3/100], Step[522/526], Loss: 0.6906
Epoch [3/100], Step[523/526], Loss: 0.6998
Epoch [3/100], Step[524/526], Loss: 0.6991
Epoch [3/100], Step[525/526], Loss: 0.7574
Epoch [3/100], Step[526/526], Loss: 0.6252
Epoch [4/100], Step[1/526], Loss: 0.6382
Epoch [4/100], Step[2/526], Loss: 0.6744
Epoch [4/100], Step[3/526], Loss: 0.6696
Epoch [4/100], Step[4/526], Loss: 0.6414
Epoch [4/100], Step[5/526], Loss: 0.7126
Epoch [4/100], Step[6/526], Loss: 0.7176
Epoch [4/100], Step[7/526], Loss: 0.6824
Epoch [4/100], Step[8/526], Loss: 0.7044
Epoch [4/100], Step[9/526], Loss: 0.6977
Epoch [4/100], Step[10/526], Loss: 0.6674
Epoch [4/100], Step[11/526], Loss: 0.6529
Epoch [4/100], Step[12/526], Loss: 0.7214
Epoch [4/100], Step[13/526], Loss: 0.6707
Epoch [4/100], Step[14/526], Loss: 0.7097
Epoch [4/100], Step[15/526], Loss: 0.6856
Epoch [4/100], Step[16/526], Loss: 0.6983
Epoch [4/100], Step[17/526], Loss: 0.6861
Epoch [4/100], Step[18/526], Loss: 0.7362
Epoch [4/100], Step[19/526], Loss: 0.6877
Epoch [4/100], Step[20/526], Loss: 0.7246
Epoch [4/100], Step[21/526], Loss: 0.7397
Epoch [4/100], Step[22/526], Loss: 0.6888
Epoch [4/100], Step[23/526], Loss: 0.7446
Epoch [4/100], Step[24/526], Loss: 0.7333
Epoch [4/100], Step[25/526], Loss: 0.7067
Epoch [4/100], Step[26/526], Loss: 0.7128
Epoch [4/100], Step[27/526], Loss: 0.7328
Epoch [4/100], Step[28/526], Loss: 0.7098
Epoch [4/100], Step[29/526], Loss: 0.6834
Epoch [4/100], Step[30/526], Loss: 0.6750
Epoch [4/100], Step[31/526], Loss: 0.7025
Epoch [4/100], Step[32/526], Loss: 0.7066
Epoch [4/100], Step[33/526], Loss: 0.7039
Epoch [4/100], Step[34/526], Loss: 0.6835
Epoch [4/100], Step[35/526], Loss: 0.6886
Epoch [4/100], Step[36/526], Loss: 0.6764
Epoch [4/100], Step[37/526], Loss: 0.7085
Epoch [4/100], Step[38/526], Loss: 0.6812
Epoch [4/100], Step[39/526], Loss: 0.7355
Epoch [4/100], Step[40/526], Loss: 0.7143
Epoch [4/100], Step[41/526], Loss: 0.6652
Epoch [4/100], Step[42/526], Loss: 0.7015
Epoch [4/100], Step[43/526], Loss: 0.7126
Epoch [4/100], Step[44/526], Loss: 0.6716
Epoch [4/100], Step[45/526], Loss: 0.6826
Epoch [4/100], Step[46/526], Loss: 0.6664
Epoch [4/100], Step[47/526], Loss: 0.7186
Epoch [4/100], Step[48/526], Loss: 0.7288
Epoch [4/100], Step[49/526], Loss: 0.7049
Epoch [4/100], Step[50/526], Loss: 0.7151
Epoch [4/100], Step[51/526], Loss: 0.6791
Epoch [4/100], Step[52/526], Loss: 0.6958
Epoch [4/100], Step[53/526], Loss: 0.7064
Epoch [4/100], Step[54/526], Loss: 0.6980
Epoch [4/100], Step[55/526], Loss: 0.6911
Epoch [4/100], Step[56/526], Loss: 0.7046
Epoch [4/100], Step[57/526], Loss: 0.6879
Epoch [4/100], Step[58/526], Loss: 0.6866
Epoch [4/100], Step[59/526], Loss: 0.6697
Epoch [4/100], Step[60/526], Loss: 0.6727
Epoch [4/100], Step[61/526], Loss: 0.6591
Epoch [4/100], Step[62/526], Loss: 0.7038
Epoch [4/100], Step[63/526], Loss: 0.6884
Epoch [4/100], Step[64/526], Loss: 0.6801
Epoch [4/100], Step[65/526], Loss: 0.7024
Epoch [4/100], Step[66/526], Loss: 0.6782
Epoch [4/100], Step[67/526], Loss: 0.6557
Epoch [4/100], Step[68/526], Loss: 0.6570
Epoch [4/100], Step[69/526], Loss: 0.7093
Epoch [4/100], Step[70/526], Loss: 0.6789
Epoch [4/100], Step[71/526], Loss: 0.6701
Epoch [4/100], Step[72/526], Loss: 0.6680
Epoch [4/100], Step[73/526], Loss: 0.6901
Epoch [4/100], Step[74/526], Loss: 0.6652
Epoch [4/100], Step[75/526], Loss: 0.7096
Epoch [4/100], Step[76/526], Loss: 0.6918
Epoch [4/100], Step[77/526], Loss: 0.6805
Epoch [4/100], Step[78/526], Loss: 0.7024
Epoch [4/100], Step[79/526], Loss: 0.6976
Epoch [4/100], Step[80/526], Loss: 0.7045
Epoch [4/100], Step[81/526], Loss: 0.7002
Epoch [4/100], Step[82/526], Loss: 0.7132
Epoch [4/100], Step[83/526], Loss: 0.6992
Epoch [4/100], Step[84/526], Loss: 0.7053
Epoch [4/100], Step[85/526], Loss: 0.6650
Epoch [4/100], Step[86/526], Loss: 0.6982
Epoch [4/100], Step[87/526], Loss: 0.6867
Epoch [4/100], Step[88/526], Loss: 0.6636
Epoch [4/100], Step[89/526], Loss: 0.7166
Epoch [4/100], Step[90/526], Loss: 0.7067
Epoch [4/100], Step[91/526], Loss: 0.6603
Epoch [4/100], Step[92/526], Loss: 0.6932
Epoch [4/100], Step[93/526], Loss: 0.6767
Epoch [4/100], Step[94/526], Loss: 0.8261
Epoch [4/100], Step[95/526], Loss: 0.7151
Epoch [4/100], Step[96/526], Loss: 0.6740
Epoch [4/100], Step[97/526], Loss: 0.6537
Epoch [4/100], Step[98/526], Loss: 0.7110
Epoch [4/100], Step[99/526], Loss: 0.6876
Epoch [4/100], Step[100/526], Loss: 0.7022
Epoch [4/100], Step[101/526], Loss: 0.6658
Epoch [4/100], Step[102/526], Loss: 0.6588
Epoch [4/100], Step[103/526], Loss: 0.6455
Epoch [4/100], Step[104/526], Loss: 0.6470
Epoch [4/100], Step[105/526], Loss: 0.6805
Epoch [4/100], Step[106/526], Loss: 0.6765
Epoch [4/100], Step[107/526], Loss: 0.6748
Epoch [4/100], Step[108/526], Loss: 0.6486
Epoch [4/100], Step[109/526], Loss: 0.6825
Epoch [4/100], Step[110/526], Loss: 0.7058
Epoch [4/100], Step[111/526], Loss: 0.6217
Epoch [4/100], Step[112/526], Loss: 0.7036
Epoch [4/100], Step[113/526], Loss: 0.6461
Epoch [4/100], Step[114/526], Loss: 0.6722
Epoch [4/100], Step[115/526], Loss: 0.6445
Epoch [4/100], Step[116/526], Loss: 0.6259
Epoch [4/100], Step[117/526], Loss: 0.6067
Epoch [4/100], Step[118/526], Loss: 0.7108
Epoch [4/100], Step[119/526], Loss: 0.6764
Epoch [4/100], Step[120/526], Loss: 0.6570
Epoch [4/100], Step[121/526], Loss: 0.6785
Epoch [4/100], Step[122/526], Loss: 0.6475
Epoch [4/100], Step[123/526], Loss: 0.6694
Epoch [4/100], Step[124/526], Loss: 0.6821
Epoch [4/100], Step[125/526], Loss: 0.6470
Epoch [4/100], Step[126/526], Loss: 0.6773
Epoch [4/100], Step[127/526], Loss: 0.6804
Epoch [4/100], Step[128/526], Loss: 0.6404
Epoch [4/100], Step[129/526], Loss: 0.5829
Epoch [4/100], Step[130/526], Loss: 0.6193
Epoch [4/100], Step[131/526], Loss: 0.6848
Epoch [4/100], Step[132/526], Loss: 0.7238
Epoch [4/100], Step[133/526], Loss: 0.6845
Epoch [4/100], Step[134/526], Loss: 0.6500
Epoch [4/100], Step[135/526], Loss: 0.6439
Epoch [4/100], Step[136/526], Loss: 0.5669
Epoch [4/100], Step[137/526], Loss: 0.5742
Epoch [4/100], Step[138/526], Loss: 0.6355
Epoch [4/100], Step[139/526], Loss: 0.6971
Epoch [4/100], Step[140/526], Loss: 0.5789
Epoch [4/100], Step[141/526], Loss: 0.6470
Epoch [4/100], Step[142/526], Loss: 0.6671
Epoch [4/100], Step[143/526], Loss: 0.6962
Epoch [4/100], Step[144/526], Loss: 0.8245
Epoch [4/100], Step[145/526], Loss: 0.6413
Epoch [4/100], Step[146/526], Loss: 0.5422
Epoch [4/100], Step[147/526], Loss: 0.5547
Epoch [4/100], Step[148/526], Loss: 0.5899
Epoch [4/100], Step[149/526], Loss: 0.5813
Epoch [4/100], Step[150/526], Loss: 0.6283
Epoch [4/100], Step[151/526], Loss: 0.5791
Epoch [4/100], Step[152/526], Loss: 0.6904
Epoch [4/100], Step[153/526], Loss: 0.6345
Epoch [4/100], Step[154/526], Loss: 0.7319
Epoch [4/100], Step[155/526], Loss: 0.6695
Epoch [4/100], Step[156/526], Loss: 0.5147
Epoch [4/100], Step[157/526], Loss: 0.3488
Epoch [4/100], Step[158/526], Loss: 0.5667
Epoch [4/100], Step[159/526], Loss: 0.6131
Epoch [4/100], Step[160/526], Loss: 0.5857
Epoch [4/100], Step[161/526], Loss: 1.2329
Epoch [4/100], Step[162/526], Loss: 0.7012
Epoch [4/100], Step[163/526], Loss: 0.7773
Epoch [4/100], Step[164/526], Loss: 0.6434
Epoch [4/100], Step[165/526], Loss: 0.7385
Epoch [4/100], Step[166/526], Loss: 0.5139
Epoch [4/100], Step[167/526], Loss: 0.5603
Epoch [4/100], Step[168/526], Loss: 0.7331
Epoch [4/100], Step[169/526], Loss: 0.8122
Epoch [4/100], Step[170/526], Loss: 0.7234
Epoch [4/100], Step[171/526], Loss: 0.6891
Epoch [4/100], Step[172/526], Loss: 0.7357
Epoch [4/100], Step[173/526], Loss: 0.7952
Epoch [4/100], Step[174/526], Loss: 0.6220
Epoch [4/100], Step[175/526], Loss: 0.6346
Epoch [4/100], Step[176/526], Loss: 0.6532
Epoch [4/100], Step[177/526], Loss: 0.6459
Epoch [4/100], Step[178/526], Loss: 0.7463
Epoch [4/100], Step[179/526], Loss: 0.6606
Epoch [4/100], Step[180/526], Loss: 0.6615
Epoch [4/100], Step[181/526], Loss: 0.6455
Epoch [4/100], Step[182/526], Loss: 0.7054
Epoch [4/100], Step[183/526], Loss: 0.5511
Epoch [4/100], Step[184/526], Loss: 0.5829
Epoch [4/100], Step[185/526], Loss: 0.5546
Epoch [4/100], Step[186/526], Loss: 0.6727
Epoch [4/100], Step[187/526], Loss: 0.7322
Epoch [4/100], Step[188/526], Loss: 0.7725
Epoch [4/100], Step[189/526], Loss: 0.7158
Epoch [4/100], Step[190/526], Loss: 0.5895
Epoch [4/100], Step[191/526], Loss: 0.7461
Epoch [4/100], Step[192/526], Loss: 0.7374
Epoch [4/100], Step[193/526], Loss: 0.6667
Epoch [4/100], Step[194/526], Loss: 0.6821
Epoch [4/100], Step[195/526], Loss: 0.6626
Epoch [4/100], Step[196/526], Loss: 0.6808
Epoch [4/100], Step[197/526], Loss: 0.6993
Epoch [4/100], Step[198/526], Loss: 0.5940
Epoch [4/100], Step[199/526], Loss: 0.6687
Epoch [4/100], Step[200/526], Loss: 0.5912
Epoch [4/100], Step[201/526], Loss: 0.7181
Epoch [4/100], Step[202/526], Loss: 0.8877
Epoch [4/100], Step[203/526], Loss: 0.6397
Epoch [4/100], Step[204/526], Loss: 0.8433
Epoch [4/100], Step[205/526], Loss: 0.7592
Epoch [4/100], Step[206/526], Loss: 0.6340
Epoch [4/100], Step[207/526], Loss: 0.7255
Epoch [4/100], Step[208/526], Loss: 0.7132
Epoch [4/100], Step[209/526], Loss: 0.7140
Epoch [4/100], Step[210/526], Loss: 0.6980
Epoch [4/100], Step[211/526], Loss: 0.5720
Epoch [4/100], Step[212/526], Loss: 0.7021
Epoch [4/100], Step[213/526], Loss: 0.7416
Epoch [4/100], Step[214/526], Loss: 0.6946
Epoch [4/100], Step[215/526], Loss: 0.7356
Epoch [4/100], Step[216/526], Loss: 0.7052
Epoch [4/100], Step[217/526], Loss: 0.7076
Epoch [4/100], Step[218/526], Loss: 0.6929
Epoch [4/100], Step[219/526], Loss: 0.6766
Epoch [4/100], Step[220/526], Loss: 0.6629
Epoch [4/100], Step[221/526], Loss: 0.7306
Epoch [4/100], Step[222/526], Loss: 0.6208
Epoch [4/100], Step[223/526], Loss: 0.6866
Epoch [4/100], Step[224/526], Loss: 0.6965
Epoch [4/100], Step[225/526], Loss: 0.6114
Epoch [4/100], Step[226/526], Loss: 0.6274
Epoch [4/100], Step[227/526], Loss: 0.6870
Epoch [4/100], Step[228/526], Loss: 0.7067
Epoch [4/100], Step[229/526], Loss: 0.7162
Epoch [4/100], Step[230/526], Loss: 0.6713
Epoch [4/100], Step[231/526], Loss: 0.6691
Epoch [4/100], Step[232/526], Loss: 0.7067
Epoch [4/100], Step[233/526], Loss: 0.7096
Epoch [4/100], Step[234/526], Loss: 0.6864
Epoch [4/100], Step[235/526], Loss: 0.6984
Epoch [4/100], Step[236/526], Loss: 0.7094
Epoch [4/100], Step[237/526], Loss: 0.7374
Epoch [4/100], Step[238/526], Loss: 0.6437
Epoch [4/100], Step[239/526], Loss: 0.6615
Epoch [4/100], Step[240/526], Loss: 0.6928
Epoch [4/100], Step[241/526], Loss: 0.6479
Epoch [4/100], Step[242/526], Loss: 0.6667
Epoch [4/100], Step[243/526], Loss: 0.6722
Epoch [4/100], Step[244/526], Loss: 0.6503
Epoch [4/100], Step[245/526], Loss: 0.6762
Epoch [4/100], Step[246/526], Loss: 0.7041
Epoch [4/100], Step[247/526], Loss: 0.6264
Epoch [4/100], Step[248/526], Loss: 0.6312
Epoch [4/100], Step[249/526], Loss: 0.6641
Epoch [4/100], Step[250/526], Loss: 0.6923
Epoch [4/100], Step[251/526], Loss: 0.6583
Epoch [4/100], Step[252/526], Loss: 0.7100
Epoch [4/100], Step[253/526], Loss: 0.6615
Epoch [4/100], Step[254/526], Loss: 0.7218
Epoch [4/100], Step[255/526], Loss: 0.6219
Epoch [4/100], Step[256/526], Loss: 0.6906
Epoch [4/100], Step[257/526], Loss: 0.5899
Epoch [4/100], Step[258/526], Loss: 0.6094
Epoch [4/100], Step[259/526], Loss: 0.6834
Epoch [4/100], Step[260/526], Loss: 0.7111
Epoch [4/100], Step[261/526], Loss: 0.7323
Epoch [4/100], Step[262/526], Loss: 0.6036
Epoch [4/100], Step[263/526], Loss: 0.6782
Epoch [4/100], Step[264/526], Loss: 0.6374
Epoch [4/100], Step[265/526], Loss: 0.5212
Epoch [4/100], Step[266/526], Loss: 0.4738
Epoch [4/100], Step[267/526], Loss: 0.5495
Epoch [4/100], Step[268/526], Loss: 0.6175
Epoch [4/100], Step[269/526], Loss: 0.5259
Epoch [4/100], Step[270/526], Loss: 0.4914
Epoch [4/100], Step[271/526], Loss: 0.5439
Epoch [4/100], Step[272/526], Loss: 0.5794
Epoch [4/100], Step[273/526], Loss: 0.6354
Epoch [4/100], Step[274/526], Loss: 0.5230
Epoch [4/100], Step[275/526], Loss: 0.5009
Epoch [4/100], Step[276/526], Loss: 0.5524
Epoch [4/100], Step[277/526], Loss: 0.5211
Epoch [4/100], Step[278/526], Loss: 0.5058
Epoch [4/100], Step[279/526], Loss: 0.4906
Epoch [4/100], Step[280/526], Loss: 0.5520
Epoch [4/100], Step[281/526], Loss: 0.6157
Epoch [4/100], Step[282/526], Loss: 0.4689
Epoch [4/100], Step[283/526], Loss: 0.4256
Epoch [4/100], Step[284/526], Loss: 0.4956
Epoch [4/100], Step[285/526], Loss: 0.3823
Epoch [4/100], Step[286/526], Loss: 0.6724
Epoch [4/100], Step[287/526], Loss: 0.5859
Epoch [4/100], Step[288/526], Loss: 0.4470
Epoch [4/100], Step[289/526], Loss: 0.5900
Epoch [4/100], Step[290/526], Loss: 0.4848
Epoch [4/100], Step[291/526], Loss: 0.5538
Epoch [4/100], Step[292/526], Loss: 0.3769
Epoch [4/100], Step[293/526], Loss: 0.3672
Epoch [4/100], Step[294/526], Loss: 0.4157
Epoch [4/100], Step[295/526], Loss: 0.4438
Epoch [4/100], Step[296/526], Loss: 0.6296
Epoch [4/100], Step[297/526], Loss: 0.3136
Epoch [4/100], Step[298/526], Loss: 0.4132
Epoch [4/100], Step[299/526], Loss: 0.3167
Epoch [4/100], Step[300/526], Loss: 0.3495
Epoch [4/100], Step[301/526], Loss: 0.5987
Epoch [4/100], Step[302/526], Loss: 0.3731
Epoch [4/100], Step[303/526], Loss: 0.4937
Epoch [4/100], Step[304/526], Loss: 0.2604
Epoch [4/100], Step[305/526], Loss: 0.3838
Epoch [4/100], Step[306/526], Loss: 0.6154
Epoch [4/100], Step[307/526], Loss: 0.9206
Epoch [4/100], Step[308/526], Loss: 1.2125
Epoch [4/100], Step[309/526], Loss: 1.0476
Epoch [4/100], Step[310/526], Loss: 0.9342
Epoch [4/100], Step[311/526], Loss: 0.8204
Epoch [4/100], Step[312/526], Loss: 0.5204
Epoch [4/100], Step[313/526], Loss: 0.5136
Epoch [4/100], Step[314/526], Loss: 0.5578
Epoch [4/100], Step[315/526], Loss: 0.7505
Epoch [4/100], Step[316/526], Loss: 0.6016
Epoch [4/100], Step[317/526], Loss: 0.3165
Epoch [4/100], Step[318/526], Loss: 0.7116
Epoch [4/100], Step[319/526], Loss: 0.4401
Epoch [4/100], Step[320/526], Loss: 0.5839
Epoch [4/100], Step[321/526], Loss: 0.8864
Epoch [4/100], Step[322/526], Loss: 0.3015
Epoch [4/100], Step[323/526], Loss: 0.6125
Epoch [4/100], Step[324/526], Loss: 0.7208
Epoch [4/100], Step[325/526], Loss: 0.6277
Epoch [4/100], Step[326/526], Loss: 0.7847
Epoch [4/100], Step[327/526], Loss: 0.8394
Epoch [4/100], Step[328/526], Loss: 0.8023
Epoch [4/100], Step[329/526], Loss: 0.9970
Epoch [4/100], Step[330/526], Loss: 0.7871
Epoch [4/100], Step[331/526], Loss: 0.9200
Epoch [4/100], Step[332/526], Loss: 0.9456
Epoch [4/100], Step[333/526], Loss: 0.7733
Epoch [4/100], Step[334/526], Loss: 0.8363
Epoch [4/100], Step[335/526], Loss: 0.8465
Epoch [4/100], Step[336/526], Loss: 0.6921
Epoch [4/100], Step[337/526], Loss: 0.6099
Epoch [4/100], Step[338/526], Loss: 0.6784
Epoch [4/100], Step[339/526], Loss: 0.6816
Epoch [4/100], Step[340/526], Loss: 0.7399
Epoch [4/100], Step[341/526], Loss: 0.7508
Epoch [4/100], Step[342/526], Loss: 0.7959
Epoch [4/100], Step[343/526], Loss: 0.6225
Epoch [4/100], Step[344/526], Loss: 0.6924
Epoch [4/100], Step[345/526], Loss: 0.7133
Epoch [4/100], Step[346/526], Loss: 0.6733
Epoch [4/100], Step[347/526], Loss: 0.7243
Epoch [4/100], Step[348/526], Loss: 0.6635
Epoch [4/100], Step[349/526], Loss: 0.6603
Epoch [4/100], Step[350/526], Loss: 0.6898
Epoch [4/100], Step[351/526], Loss: 0.7049
Epoch [4/100], Step[352/526], Loss: 0.6380
Epoch [4/100], Step[353/526], Loss: 0.7266
Epoch [4/100], Step[354/526], Loss: 0.6893
Epoch [4/100], Step[355/526], Loss: 0.7171
Epoch [4/100], Step[356/526], Loss: 0.7219
Epoch [4/100], Step[357/526], Loss: 0.6732
Epoch [4/100], Step[358/526], Loss: 0.7165
Epoch [4/100], Step[359/526], Loss: 0.6882
Epoch [4/100], Step[360/526], Loss: 0.6882
Epoch [4/100], Step[361/526], Loss: 0.7220
Epoch [4/100], Step[362/526], Loss: 0.7260
Epoch [4/100], Step[363/526], Loss: 0.6895
Epoch [4/100], Step[364/526], Loss: 0.6631
Epoch [4/100], Step[365/526], Loss: 0.6629
Epoch [4/100], Step[366/526], Loss: 0.7001
Epoch [4/100], Step[367/526], Loss: 0.7027
Epoch [4/100], Step[368/526], Loss: 0.7161
Epoch [4/100], Step[369/526], Loss: 0.7044
Epoch [4/100], Step[370/526], Loss: 0.5554
Epoch [4/100], Step[371/526], Loss: 0.7070
Epoch [4/100], Step[372/526], Loss: 0.6803
Epoch [4/100], Step[373/526], Loss: 0.6876
Epoch [4/100], Step[374/526], Loss: 0.6957
Epoch [4/100], Step[375/526], Loss: 0.6983
Epoch [4/100], Step[376/526], Loss: 0.7004
Epoch [4/100], Step[377/526], Loss: 0.7043
Epoch [4/100], Step[378/526], Loss: 0.7084
Epoch [4/100], Step[379/526], Loss: 0.7216
Epoch [4/100], Step[380/526], Loss: 0.6784
Epoch [4/100], Step[381/526], Loss: 0.6694
Epoch [4/100], Step[382/526], Loss: 0.6800
Epoch [4/100], Step[383/526], Loss: 0.6979
Epoch [4/100], Step[384/526], Loss: 0.6651
Epoch [4/100], Step[385/526], Loss: 0.6859
Epoch [4/100], Step[386/526], Loss: 0.6672
Epoch [4/100], Step[387/526], Loss: 0.6651
Epoch [4/100], Step[388/526], Loss: 0.6409
Epoch [4/100], Step[389/526], Loss: 0.7003
Epoch [4/100], Step[390/526], Loss: 0.6479
Epoch [4/100], Step[391/526], Loss: 0.6665
Epoch [4/100], Step[392/526], Loss: 0.7021
Epoch [4/100], Step[393/526], Loss: 0.6232
Epoch [4/100], Step[394/526], Loss: 0.6152
Epoch [4/100], Step[395/526], Loss: 0.6715
Epoch [4/100], Step[396/526], Loss: 0.6341
Epoch [4/100], Step[397/526], Loss: 0.5715
Epoch [4/100], Step[398/526], Loss: 0.6358
Epoch [4/100], Step[399/526], Loss: 0.6807
Epoch [4/100], Step[400/526], Loss: 0.5836
Epoch [4/100], Step[401/526], Loss: 0.5872
Epoch [4/100], Step[402/526], Loss: 0.6548
Epoch [4/100], Step[403/526], Loss: 0.7062
Epoch [4/100], Step[404/526], Loss: 0.5310
Epoch [4/100], Step[405/526], Loss: 0.5358
Epoch [4/100], Step[406/526], Loss: 0.7186
Epoch [4/100], Step[407/526], Loss: 0.8256
Epoch [4/100], Step[408/526], Loss: 0.6842
Epoch [4/100], Step[409/526], Loss: 0.5151
Epoch [4/100], Step[410/526], Loss: 0.5058
Epoch [4/100], Step[411/526], Loss: 0.5421
Epoch [4/100], Step[412/526], Loss: 0.5610
Epoch [4/100], Step[413/526], Loss: 0.6335
Epoch [4/100], Step[414/526], Loss: 0.6181
Epoch [4/100], Step[415/526], Loss: 0.6595
Epoch [4/100], Step[416/526], Loss: 0.5856
Epoch [4/100], Step[417/526], Loss: 0.4949
Epoch [4/100], Step[418/526], Loss: 0.8486
Epoch [4/100], Step[419/526], Loss: 0.6844
Epoch [4/100], Step[420/526], Loss: 0.7006
Epoch [4/100], Step[421/526], Loss: 0.6283
Epoch [4/100], Step[422/526], Loss: 0.7817
Epoch [4/100], Step[423/526], Loss: 0.7481
Epoch [4/100], Step[424/526], Loss: 0.7382
Epoch [4/100], Step[425/526], Loss: 0.6844
Epoch [4/100], Step[426/526], Loss: 0.7752
Epoch [4/100], Step[427/526], Loss: 0.6434
Epoch [4/100], Step[428/526], Loss: 0.6943
Epoch [4/100], Step[429/526], Loss: 0.7000
Epoch [4/100], Step[430/526], Loss: 0.8172
Epoch [4/100], Step[431/526], Loss: 0.7564
Epoch [4/100], Step[432/526], Loss: 0.7823
Epoch [4/100], Step[433/526], Loss: 0.7511
Epoch [4/100], Step[434/526], Loss: 0.6428
Epoch [4/100], Step[435/526], Loss: 0.7373
Epoch [4/100], Step[436/526], Loss: 0.8008
Epoch [4/100], Step[437/526], Loss: 0.5751
Epoch [4/100], Step[438/526], Loss: 0.4246
Epoch [4/100], Step[439/526], Loss: 0.7752
Epoch [4/100], Step[440/526], Loss: 0.7343
Epoch [4/100], Step[441/526], Loss: 0.6886
Epoch [4/100], Step[442/526], Loss: 0.6418
Epoch [4/100], Step[443/526], Loss: 0.6680
Epoch [4/100], Step[444/526], Loss: 0.7499
Epoch [4/100], Step[445/526], Loss: 0.6989
Epoch [4/100], Step[446/526], Loss: 0.7240
Epoch [4/100], Step[447/526], Loss: 0.7100
Epoch [4/100], Step[448/526], Loss: 0.8357
Epoch [4/100], Step[449/526], Loss: 0.7207
Epoch [4/100], Step[450/526], Loss: 0.5777
Epoch [4/100], Step[451/526], Loss: 0.6507
Epoch [4/100], Step[452/526], Loss: 0.7158
Epoch [4/100], Step[453/526], Loss: 0.7282
Epoch [4/100], Step[454/526], Loss: 0.7906
Epoch [4/100], Step[455/526], Loss: 0.6485
Epoch [4/100], Step[456/526], Loss: 0.6478
Epoch [4/100], Step[457/526], Loss: 0.6894
Epoch [4/100], Step[458/526], Loss: 0.6943
Epoch [4/100], Step[459/526], Loss: 0.6917
Epoch [4/100], Step[460/526], Loss: 0.6692
Epoch [4/100], Step[461/526], Loss: 0.6443
Epoch [4/100], Step[462/526], Loss: 0.6738
Epoch [4/100], Step[463/526], Loss: 0.6364
Epoch [4/100], Step[464/526], Loss: 0.6563
Epoch [4/100], Step[465/526], Loss: 0.6636
Epoch [4/100], Step[466/526], Loss: 0.6637
Epoch [4/100], Step[467/526], Loss: 0.6369
Epoch [4/100], Step[468/526], Loss: 0.6380
Epoch [4/100], Step[469/526], Loss: 0.7939
Epoch [4/100], Step[470/526], Loss: 0.6455
Epoch [4/100], Step[471/526], Loss: 0.6913
Epoch [4/100], Step[472/526], Loss: 0.6459
Epoch [4/100], Step[473/526], Loss: 0.6778
Epoch [4/100], Step[474/526], Loss: 0.6677
Epoch [4/100], Step[475/526], Loss: 0.7869
Epoch [4/100], Step[476/526], Loss: 0.7484
Epoch [4/100], Step[477/526], Loss: 0.6751
Epoch [4/100], Step[478/526], Loss: 0.6985
Epoch [4/100], Step[479/526], Loss: 0.6804
Epoch [4/100], Step[480/526], Loss: 0.7217
Epoch [4/100], Step[481/526], Loss: 0.6953
Epoch [4/100], Step[482/526], Loss: 0.7073
Epoch [4/100], Step[483/526], Loss: 0.5919
Epoch [4/100], Step[484/526], Loss: 0.6740
Epoch [4/100], Step[485/526], Loss: 0.7675
Epoch [4/100], Step[486/526], Loss: 0.7153
Epoch [4/100], Step[487/526], Loss: 0.7152
Epoch [4/100], Step[488/526], Loss: 0.6559
Epoch [4/100], Step[489/526], Loss: 0.6442
Epoch [4/100], Step[490/526], Loss: 0.6098
Epoch [4/100], Step[491/526], Loss: 0.6719
Epoch [4/100], Step[492/526], Loss: 0.6501
Epoch [4/100], Step[493/526], Loss: 0.6556
Epoch [4/100], Step[494/526], Loss: 0.6877
Epoch [4/100], Step[495/526], Loss: 0.7087
Epoch [4/100], Step[496/526], Loss: 0.6534
Epoch [4/100], Step[497/526], Loss: 0.6570
Epoch [4/100], Step[498/526], Loss: 0.7056
Epoch [4/100], Step[499/526], Loss: 0.6798
Epoch [4/100], Step[500/526], Loss: 0.6754
Epoch [4/100], Step[501/526], Loss: 0.6786
Epoch [4/100], Step[502/526], Loss: 0.7041
Epoch [4/100], Step[503/526], Loss: 0.6918
Epoch [4/100], Step[504/526], Loss: 0.6797
Epoch [4/100], Step[505/526], Loss: 0.7190
Epoch [4/100], Step[506/526], Loss: 0.7139
Epoch [4/100], Step[507/526], Loss: 0.6966
Epoch [4/100], Step[508/526], Loss: 0.7287
Epoch [4/100], Step[509/526], Loss: 0.6997
Epoch [4/100], Step[510/526], Loss: 0.7027
Epoch [4/100], Step[511/526], Loss: 0.6462
Epoch [4/100], Step[512/526], Loss: 0.6645
Epoch [4/100], Step[513/526], Loss: 0.6519
Epoch [4/100], Step[514/526], Loss: 0.6411
Epoch [4/100], Step[515/526], Loss: 0.6044
Epoch [4/100], Step[516/526], Loss: 0.7501
Epoch [4/100], Step[517/526], Loss: 0.7043
Epoch [4/100], Step[518/526], Loss: 0.7359
Epoch [4/100], Step[519/526], Loss: 0.7215
Epoch [4/100], Step[520/526], Loss: 0.6877
Epoch [4/100], Step[521/526], Loss: 0.6644
Epoch [4/100], Step[522/526], Loss: 0.6712
Epoch [4/100], Step[523/526], Loss: 0.6848
Epoch [4/100], Step[524/526], Loss: 0.6795
Epoch [4/100], Step[525/526], Loss: 0.7348
Epoch [4/100], Step[526/526], Loss: 0.6755
Epoch [5/100], Step[1/526], Loss: 0.6545
Epoch [5/100], Step[2/526], Loss: 0.6603
Epoch [5/100], Step[3/526], Loss: 0.6675
Epoch [5/100], Step[4/526], Loss: 0.6379
Epoch [5/100], Step[5/526], Loss: 0.7182
Epoch [5/100], Step[6/526], Loss: 0.7265
Epoch [5/100], Step[7/526], Loss: 0.6876
Epoch [5/100], Step[8/526], Loss: 0.7040
Epoch [5/100], Step[9/526], Loss: 0.7008
Epoch [5/100], Step[10/526], Loss: 0.6715
Epoch [5/100], Step[11/526], Loss: 0.6709
Epoch [5/100], Step[12/526], Loss: 0.7119
Epoch [5/100], Step[13/526], Loss: 0.6589
Epoch [5/100], Step[14/526], Loss: 0.6884
Epoch [5/100], Step[15/526], Loss: 0.6815
Epoch [5/100], Step[16/526], Loss: 0.6938
Epoch [5/100], Step[17/526], Loss: 0.6858
Epoch [5/100], Step[18/526], Loss: 0.7047
Epoch [5/100], Step[19/526], Loss: 0.6725
Epoch [5/100], Step[20/526], Loss: 0.7145
Epoch [5/100], Step[21/526], Loss: 0.7525
Epoch [5/100], Step[22/526], Loss: 0.7112
Epoch [5/100], Step[23/526], Loss: 0.7327
Epoch [5/100], Step[24/526], Loss: 0.7341
Epoch [5/100], Step[25/526], Loss: 0.7092
Epoch [5/100], Step[26/526], Loss: 0.6818
Epoch [5/100], Step[27/526], Loss: 0.7156
Epoch [5/100], Step[28/526], Loss: 0.7099
Epoch [5/100], Step[29/526], Loss: 0.6791
Epoch [5/100], Step[30/526], Loss: 0.6848
Epoch [5/100], Step[31/526], Loss: 0.6992
Epoch [5/100], Step[32/526], Loss: 0.6980
Epoch [5/100], Step[33/526], Loss: 0.7083
Epoch [5/100], Step[34/526], Loss: 0.6868
Epoch [5/100], Step[35/526], Loss: 0.6972
Epoch [5/100], Step[36/526], Loss: 0.6843
Epoch [5/100], Step[37/526], Loss: 0.7016
Epoch [5/100], Step[38/526], Loss: 0.6841
Epoch [5/100], Step[39/526], Loss: 0.7226
Epoch [5/100], Step[40/526], Loss: 0.7265
Epoch [5/100], Step[41/526], Loss: 0.6656
Epoch [5/100], Step[42/526], Loss: 0.7051
Epoch [5/100], Step[43/526], Loss: 0.7070
Epoch [5/100], Step[44/526], Loss: 0.6785
Epoch [5/100], Step[45/526], Loss: 0.6845
Epoch [5/100], Step[46/526], Loss: 0.6755
Epoch [5/100], Step[47/526], Loss: 0.7089
Epoch [5/100], Step[48/526], Loss: 0.7160
Epoch [5/100], Step[49/526], Loss: 0.7013
Epoch [5/100], Step[50/526], Loss: 0.7035
Epoch [5/100], Step[51/526], Loss: 0.6910
Epoch [5/100], Step[52/526], Loss: 0.6952
Epoch [5/100], Step[53/526], Loss: 0.7104
Epoch [5/100], Step[54/526], Loss: 0.6961
Epoch [5/100], Step[55/526], Loss: 0.6960
Epoch [5/100], Step[56/526], Loss: 0.6964
Epoch [5/100], Step[57/526], Loss: 0.6831
Epoch [5/100], Step[58/526], Loss: 0.6799
Epoch [5/100], Step[59/526], Loss: 0.6746
Epoch [5/100], Step[60/526], Loss: 0.6727
Epoch [5/100], Step[61/526], Loss: 0.6719
Epoch [5/100], Step[62/526], Loss: 0.7056
Epoch [5/100], Step[63/526], Loss: 0.6930
Epoch [5/100], Step[64/526], Loss: 0.6859
Epoch [5/100], Step[65/526], Loss: 0.7071
Epoch [5/100], Step[66/526], Loss: 0.6809
Epoch [5/100], Step[67/526], Loss: 0.6616
Epoch [5/100], Step[68/526], Loss: 0.6609
Epoch [5/100], Step[69/526], Loss: 0.6976
Epoch [5/100], Step[70/526], Loss: 0.6828
Epoch [5/100], Step[71/526], Loss: 0.6701
Epoch [5/100], Step[72/526], Loss: 0.6787
Epoch [5/100], Step[73/526], Loss: 0.6985
Epoch [5/100], Step[74/526], Loss: 0.6741
Epoch [5/100], Step[75/526], Loss: 0.7010
Epoch [5/100], Step[76/526], Loss: 0.7000
Epoch [5/100], Step[77/526], Loss: 0.6828
Epoch [5/100], Step[78/526], Loss: 0.7013
Epoch [5/100], Step[79/526], Loss: 0.6973
Epoch [5/100], Step[80/526], Loss: 0.6995
Epoch [5/100], Step[81/526], Loss: 0.6958
Epoch [5/100], Step[82/526], Loss: 0.7216
Epoch [5/100], Step[83/526], Loss: 0.7075
Epoch [5/100], Step[84/526], Loss: 0.6985
Epoch [5/100], Step[85/526], Loss: 0.6689
Epoch [5/100], Step[86/526], Loss: 0.6992
Epoch [5/100], Step[87/526], Loss: 0.6891
Epoch [5/100], Step[88/526], Loss: 0.6800
Epoch [5/100], Step[89/526], Loss: 0.7120
Epoch [5/100], Step[90/526], Loss: 0.6929
Epoch [5/100], Step[91/526], Loss: 0.6764
Epoch [5/100], Step[92/526], Loss: 0.6893
Epoch [5/100], Step[93/526], Loss: 0.6853
Epoch [5/100], Step[94/526], Loss: 0.8014
Epoch [5/100], Step[95/526], Loss: 0.7091
Epoch [5/100], Step[96/526], Loss: 0.6600
Epoch [5/100], Step[97/526], Loss: 0.6453
Epoch [5/100], Step[98/526], Loss: 0.7129
Epoch [5/100], Step[99/526], Loss: 0.6826
Epoch [5/100], Step[100/526], Loss: 0.6926
Epoch [5/100], Step[101/526], Loss: 0.6605
Epoch [5/100], Step[102/526], Loss: 0.6433
Epoch [5/100], Step[103/526], Loss: 0.6390
Epoch [5/100], Step[104/526], Loss: 0.6490
Epoch [5/100], Step[105/526], Loss: 0.6660
Epoch [5/100], Step[106/526], Loss: 0.6682
Epoch [5/100], Step[107/526], Loss: 0.6420
Epoch [5/100], Step[108/526], Loss: 0.6140
Epoch [5/100], Step[109/526], Loss: 0.6797
Epoch [5/100], Step[110/526], Loss: 0.6844
Epoch [5/100], Step[111/526], Loss: 0.6143
Epoch [5/100], Step[112/526], Loss: 0.6970
Epoch [5/100], Step[113/526], Loss: 0.6246
Epoch [5/100], Step[114/526], Loss: 0.6669
Epoch [5/100], Step[115/526], Loss: 0.6277
Epoch [5/100], Step[116/526], Loss: 0.5847
Epoch [5/100], Step[117/526], Loss: 0.5827
Epoch [5/100], Step[118/526], Loss: 0.7364
Epoch [5/100], Step[119/526], Loss: 0.6760
Epoch [5/100], Step[120/526], Loss: 0.6368
Epoch [5/100], Step[121/526], Loss: 0.6688
Epoch [5/100], Step[122/526], Loss: 0.6325
Epoch [5/100], Step[123/526], Loss: 0.6695
Epoch [5/100], Step[124/526], Loss: 0.6750
Epoch [5/100], Step[125/526], Loss: 0.6232
Epoch [5/100], Step[126/526], Loss: 0.6839
Epoch [5/100], Step[127/526], Loss: 0.6843
Epoch [5/100], Step[128/526], Loss: 0.6276
Epoch [5/100], Step[129/526], Loss: 0.5531
Epoch [5/100], Step[130/526], Loss: 0.5852
Epoch [5/100], Step[131/526], Loss: 0.6870
Epoch [5/100], Step[132/526], Loss: 0.7458
Epoch [5/100], Step[133/526], Loss: 0.6798
Epoch [5/100], Step[134/526], Loss: 0.6419
Epoch [5/100], Step[135/526], Loss: 0.6281
Epoch [5/100], Step[136/526], Loss: 0.5425
Epoch [5/100], Step[137/526], Loss: 0.5623
Epoch [5/100], Step[138/526], Loss: 0.6317
Epoch [5/100], Step[139/526], Loss: 0.7174
Epoch [5/100], Step[140/526], Loss: 0.5621
Epoch [5/100], Step[141/526], Loss: 0.6534
Epoch [5/100], Step[142/526], Loss: 0.6683
Epoch [5/100], Step[143/526], Loss: 0.6923
Epoch [5/100], Step[144/526], Loss: 0.8517
Epoch [5/100], Step[145/526], Loss: 0.6228
Epoch [5/100], Step[146/526], Loss: 0.5243
Epoch [5/100], Step[147/526], Loss: 0.5254
Epoch [5/100], Step[148/526], Loss: 0.5937
Epoch [5/100], Step[149/526], Loss: 0.5531
Epoch [5/100], Step[150/526], Loss: 0.6086
Epoch [5/100], Step[151/526], Loss: 0.5620
Epoch [5/100], Step[152/526], Loss: 0.6781
Epoch [5/100], Step[153/526], Loss: 0.6327
Epoch [5/100], Step[154/526], Loss: 0.7382
Epoch [5/100], Step[155/526], Loss: 0.6685
Epoch [5/100], Step[156/526], Loss: 0.5023
Epoch [5/100], Step[157/526], Loss: 0.2997
Epoch [5/100], Step[158/526], Loss: 0.5629
Epoch [5/100], Step[159/526], Loss: 0.6070
Epoch [5/100], Step[160/526], Loss: 0.5884
Epoch [5/100], Step[161/526], Loss: 1.5330
Epoch [5/100], Step[162/526], Loss: 0.7141
Epoch [5/100], Step[163/526], Loss: 0.7764
Epoch [5/100], Step[164/526], Loss: 0.6252
Epoch [5/100], Step[165/526], Loss: 0.7397
Epoch [5/100], Step[166/526], Loss: 0.5190
Epoch [5/100], Step[167/526], Loss: 0.5662
Epoch [5/100], Step[168/526], Loss: 0.7436
Epoch [5/100], Step[169/526], Loss: 0.8155
Epoch [5/100], Step[170/526], Loss: 0.7444
Epoch [5/100], Step[171/526], Loss: 0.6897
Epoch [5/100], Step[172/526], Loss: 0.7407
Epoch [5/100], Step[173/526], Loss: 0.7927
Epoch [5/100], Step[174/526], Loss: 0.6244
Epoch [5/100], Step[175/526], Loss: 0.6397
Epoch [5/100], Step[176/526], Loss: 0.6574
Epoch [5/100], Step[177/526], Loss: 0.6540
Epoch [5/100], Step[178/526], Loss: 0.7344
Epoch [5/100], Step[179/526], Loss: 0.6584
Epoch [5/100], Step[180/526], Loss: 0.6756
Epoch [5/100], Step[181/526], Loss: 0.6398
Epoch [5/100], Step[182/526], Loss: 0.6884
Epoch [5/100], Step[183/526], Loss: 0.5379
Epoch [5/100], Step[184/526], Loss: 0.5807
Epoch [5/100], Step[185/526], Loss: 0.5591
Epoch [5/100], Step[186/526], Loss: 0.6670
Epoch [5/100], Step[187/526], Loss: 0.7283
Epoch [5/100], Step[188/526], Loss: 0.7515
Epoch [5/100], Step[189/526], Loss: 0.6840
Epoch [5/100], Step[190/526], Loss: 0.6236
Epoch [5/100], Step[191/526], Loss: 0.7633
Epoch [5/100], Step[192/526], Loss: 0.7857
Epoch [5/100], Step[193/526], Loss: 0.6729
Epoch [5/100], Step[194/526], Loss: 0.6888
Epoch [5/100], Step[195/526], Loss: 0.6591
Epoch [5/100], Step[196/526], Loss: 0.7229
Epoch [5/100], Step[197/526], Loss: 0.7219
Epoch [5/100], Step[198/526], Loss: 0.6036
Epoch [5/100], Step[199/526], Loss: 0.6875
Epoch [5/100], Step[200/526], Loss: 0.6320
Epoch [5/100], Step[201/526], Loss: 0.7072
Epoch [5/100], Step[202/526], Loss: 0.8352
Epoch [5/100], Step[203/526], Loss: 0.6373
Epoch [5/100], Step[204/526], Loss: 0.8176
Epoch [5/100], Step[205/526], Loss: 0.7272
Epoch [5/100], Step[206/526], Loss: 0.6442
Epoch [5/100], Step[207/526], Loss: 0.7236
Epoch [5/100], Step[208/526], Loss: 0.7095
Epoch [5/100], Step[209/526], Loss: 0.6989
Epoch [5/100], Step[210/526], Loss: 0.6712
Epoch [5/100], Step[211/526], Loss: 0.6020
Epoch [5/100], Step[212/526], Loss: 0.6993
Epoch [5/100], Step[213/526], Loss: 0.7428
Epoch [5/100], Step[214/526], Loss: 0.7062
Epoch [5/100], Step[215/526], Loss: 0.7279
Epoch [5/100], Step[216/526], Loss: 0.7055
Epoch [5/100], Step[217/526], Loss: 0.7037
Epoch [5/100], Step[218/526], Loss: 0.6896
Epoch [5/100], Step[219/526], Loss: 0.6841
Epoch [5/100], Step[220/526], Loss: 0.6554
Epoch [5/100], Step[221/526], Loss: 0.7191
Epoch [5/100], Step[222/526], Loss: 0.6284
Epoch [5/100], Step[223/526], Loss: 0.6907
Epoch [5/100], Step[224/526], Loss: 0.6976
Epoch [5/100], Step[225/526], Loss: 0.6291
Epoch [5/100], Step[226/526], Loss: 0.6631
Epoch [5/100], Step[227/526], Loss: 0.6887
Epoch [5/100], Step[228/526], Loss: 0.7072
Epoch [5/100], Step[229/526], Loss: 0.7078
Epoch [5/100], Step[230/526], Loss: 0.6778
Epoch [5/100], Step[231/526], Loss: 0.6846
Epoch [5/100], Step[232/526], Loss: 0.7087
Epoch [5/100], Step[233/526], Loss: 0.6985
Epoch [5/100], Step[234/526], Loss: 0.6919
Epoch [5/100], Step[235/526], Loss: 0.6824
Epoch [5/100], Step[236/526], Loss: 0.6957
Epoch [5/100], Step[237/526], Loss: 0.7167
Epoch [5/100], Step[238/526], Loss: 0.6749
Epoch [5/100], Step[239/526], Loss: 0.6865
Epoch [5/100], Step[240/526], Loss: 0.6957
Epoch [5/100], Step[241/526], Loss: 0.6813
Epoch [5/100], Step[242/526], Loss: 0.6816
Epoch [5/100], Step[243/526], Loss: 0.6692
Epoch [5/100], Step[244/526], Loss: 0.6568
Epoch [5/100], Step[245/526], Loss: 0.6685
Epoch [5/100], Step[246/526], Loss: 0.6851
Epoch [5/100], Step[247/526], Loss: 0.6527
Epoch [5/100], Step[248/526], Loss: 0.6584
Epoch [5/100], Step[249/526], Loss: 0.6777
Epoch [5/100], Step[250/526], Loss: 0.6845
Epoch [5/100], Step[251/526], Loss: 0.6784
Epoch [5/100], Step[252/526], Loss: 0.6997
Epoch [5/100], Step[253/526], Loss: 0.6630
Epoch [5/100], Step[254/526], Loss: 0.6959
Epoch [5/100], Step[255/526], Loss: 0.6297
Epoch [5/100], Step[256/526], Loss: 0.6877
Epoch [5/100], Step[257/526], Loss: 0.6181
Epoch [5/100], Step[258/526], Loss: 0.5975
Epoch [5/100], Step[259/526], Loss: 0.6892
Epoch [5/100], Step[260/526], Loss: 0.7130
Epoch [5/100], Step[261/526], Loss: 0.7317
Epoch [5/100], Step[262/526], Loss: 0.6347
Epoch [5/100], Step[263/526], Loss: 0.6952
Epoch [5/100], Step[264/526], Loss: 0.6574
Epoch [5/100], Step[265/526], Loss: 0.5526
Epoch [5/100], Step[266/526], Loss: 0.5168
Epoch [5/100], Step[267/526], Loss: 0.5429
Epoch [5/100], Step[268/526], Loss: 0.5978
Epoch [5/100], Step[269/526], Loss: 0.5120
Epoch [5/100], Step[270/526], Loss: 0.4691
Epoch [5/100], Step[271/526], Loss: 0.5359
Epoch [5/100], Step[272/526], Loss: 0.5563
Epoch [5/100], Step[273/526], Loss: 0.6164
Epoch [5/100], Step[274/526], Loss: 0.4958
Epoch [5/100], Step[275/526], Loss: 0.4734
Epoch [5/100], Step[276/526], Loss: 0.5401
Epoch [5/100], Step[277/526], Loss: 0.5114
Epoch [5/100], Step[278/526], Loss: 0.4963
Epoch [5/100], Step[279/526], Loss: 0.4699
Epoch [5/100], Step[280/526], Loss: 0.5307
Epoch [5/100], Step[281/526], Loss: 0.5986
Epoch [5/100], Step[282/526], Loss: 0.4382
Epoch [5/100], Step[283/526], Loss: 0.4122
Epoch [5/100], Step[284/526], Loss: 0.4838
Epoch [5/100], Step[285/526], Loss: 0.3770
Epoch [5/100], Step[286/526], Loss: 0.6785
Epoch [5/100], Step[287/526], Loss: 0.5578
Epoch [5/100], Step[288/526], Loss: 0.4627
Epoch [5/100], Step[289/526], Loss: 0.6045
Epoch [5/100], Step[290/526], Loss: 0.4765
Epoch [5/100], Step[291/526], Loss: 0.5528
Epoch [5/100], Step[292/526], Loss: 0.3919
Epoch [5/100], Step[293/526], Loss: 0.3678
Epoch [5/100], Step[294/526], Loss: 0.4219
Epoch [5/100], Step[295/526], Loss: 0.4696
Epoch [5/100], Step[296/526], Loss: 0.6062
Epoch [5/100], Step[297/526], Loss: 0.3197
Epoch [5/100], Step[298/526], Loss: 0.4241
Epoch [5/100], Step[299/526], Loss: 0.3280
Epoch [5/100], Step[300/526], Loss: 0.3433
Epoch [5/100], Step[301/526], Loss: 0.6259
Epoch [5/100], Step[302/526], Loss: 0.3836
Epoch [5/100], Step[303/526], Loss: 0.5185
Epoch [5/100], Step[304/526], Loss: 0.2813
Epoch [5/100], Step[305/526], Loss: 0.3697
Epoch [5/100], Step[306/526], Loss: 0.5911
Epoch [5/100], Step[307/526], Loss: 0.8890
Epoch [5/100], Step[308/526], Loss: 1.1754
Epoch [5/100], Step[309/526], Loss: 1.0108
Epoch [5/100], Step[310/526], Loss: 0.9012
Epoch [5/100], Step[311/526], Loss: 0.8109
Epoch [5/100], Step[312/526], Loss: 0.4979
Epoch [5/100], Step[313/526], Loss: 0.5182
Epoch [5/100], Step[314/526], Loss: 0.5558
Epoch [5/100], Step[315/526], Loss: 0.7529
Epoch [5/100], Step[316/526], Loss: 0.5524
Epoch [5/100], Step[317/526], Loss: 0.2938
Epoch [5/100], Step[318/526], Loss: 0.7266
Epoch [5/100], Step[319/526], Loss: 0.4350
Epoch [5/100], Step[320/526], Loss: 0.6008
Epoch [5/100], Step[321/526], Loss: 0.8376
Epoch [5/100], Step[322/526], Loss: 0.3253
Epoch [5/100], Step[323/526], Loss: 0.6056
Epoch [5/100], Step[324/526], Loss: 0.7184
Epoch [5/100], Step[325/526], Loss: 0.6251
Epoch [5/100], Step[326/526], Loss: 0.7955
Epoch [5/100], Step[327/526], Loss: 0.8378
Epoch [5/100], Step[328/526], Loss: 0.8058
Epoch [5/100], Step[329/526], Loss: 1.0225
Epoch [5/100], Step[330/526], Loss: 0.7954
Epoch [5/100], Step[331/526], Loss: 0.8904
Epoch [5/100], Step[332/526], Loss: 0.9075
Epoch [5/100], Step[333/526], Loss: 0.7704
Epoch [5/100], Step[334/526], Loss: 0.8005
Epoch [5/100], Step[335/526], Loss: 0.8637
Epoch [5/100], Step[336/526], Loss: 0.6854
Epoch [5/100], Step[337/526], Loss: 0.6170
Epoch [5/100], Step[338/526], Loss: 0.6920
Epoch [5/100], Step[339/526], Loss: 0.6642
Epoch [5/100], Step[340/526], Loss: 0.7400
Epoch [5/100], Step[341/526], Loss: 0.7722
Epoch [5/100], Step[342/526], Loss: 0.7923
Epoch [5/100], Step[343/526], Loss: 0.6093
Epoch [5/100], Step[344/526], Loss: 0.7131
Epoch [5/100], Step[345/526], Loss: 0.6937
Epoch [5/100], Step[346/526], Loss: 0.6870
Epoch [5/100], Step[347/526], Loss: 0.6991
Epoch [5/100], Step[348/526], Loss: 0.6606
Epoch [5/100], Step[349/526], Loss: 0.6434
Epoch [5/100], Step[350/526], Loss: 0.6830
Epoch [5/100], Step[351/526], Loss: 0.7109
Epoch [5/100], Step[352/526], Loss: 0.6468
Epoch [5/100], Step[353/526], Loss: 0.7193
Epoch [5/100], Step[354/526], Loss: 0.6833
Epoch [5/100], Step[355/526], Loss: 0.6958
Epoch [5/100], Step[356/526], Loss: 0.7093
Epoch [5/100], Step[357/526], Loss: 0.6740
Epoch [5/100], Step[358/526], Loss: 0.7018
Epoch [5/100], Step[359/526], Loss: 0.6917
Epoch [5/100], Step[360/526], Loss: 0.6776
Epoch [5/100], Step[361/526], Loss: 0.7633
Epoch [5/100], Step[362/526], Loss: 0.7464
Epoch [5/100], Step[363/526], Loss: 0.6870
Epoch [5/100], Step[364/526], Loss: 0.7137
Epoch [5/100], Step[365/526], Loss: 0.7138
Epoch [5/100], Step[366/526], Loss: 0.6932
Epoch [5/100], Step[367/526], Loss: 0.6882
Epoch [5/100], Step[368/526], Loss: 0.6766
Epoch [5/100], Step[369/526], Loss: 0.6752
Epoch [5/100], Step[370/526], Loss: 0.5661
Epoch [5/100], Step[371/526], Loss: 0.7144
Epoch [5/100], Step[372/526], Loss: 0.6838
Epoch [5/100], Step[373/526], Loss: 0.6960
Epoch [5/100], Step[374/526], Loss: 0.7002
Epoch [5/100], Step[375/526], Loss: 0.6820
Epoch [5/100], Step[376/526], Loss: 0.6840
Epoch [5/100], Step[377/526], Loss: 0.6932
Epoch [5/100], Step[378/526], Loss: 0.6913
Epoch [5/100], Step[379/526], Loss: 0.7063
Epoch [5/100], Step[380/526], Loss: 0.6684
Epoch [5/100], Step[381/526], Loss: 0.6650
Epoch [5/100], Step[382/526], Loss: 0.6843
Epoch [5/100], Step[383/526], Loss: 0.6904
Epoch [5/100], Step[384/526], Loss: 0.6650
Epoch [5/100], Step[385/526], Loss: 0.6755
Epoch [5/100], Step[386/526], Loss: 0.6632
Epoch [5/100], Step[387/526], Loss: 0.6685
Epoch [5/100], Step[388/526], Loss: 0.6514
Epoch [5/100], Step[389/526], Loss: 0.6998
Epoch [5/100], Step[390/526], Loss: 0.6586
Epoch [5/100], Step[391/526], Loss: 0.6567
Epoch [5/100], Step[392/526], Loss: 0.6987
Epoch [5/100], Step[393/526], Loss: 0.6376
Epoch [5/100], Step[394/526], Loss: 0.6165
Epoch [5/100], Step[395/526], Loss: 0.6714
Epoch [5/100], Step[396/526], Loss: 0.6511
Epoch [5/100], Step[397/526], Loss: 0.5812
Epoch [5/100], Step[398/526], Loss: 0.6542
Epoch [5/100], Step[399/526], Loss: 0.6843
Epoch [5/100], Step[400/526], Loss: 0.5838
Epoch [5/100], Step[401/526], Loss: 0.5937
Epoch [5/100], Step[402/526], Loss: 0.6654
Epoch [5/100], Step[403/526], Loss: 0.6927
Epoch [5/100], Step[404/526], Loss: 0.5379
Epoch [5/100], Step[405/526], Loss: 0.5574
Epoch [5/100], Step[406/526], Loss: 0.6795
Epoch [5/100], Step[407/526], Loss: 0.7745
Epoch [5/100], Step[408/526], Loss: 0.6780
Epoch [5/100], Step[409/526], Loss: 0.5203
Epoch [5/100], Step[410/526], Loss: 0.5152
Epoch [5/100], Step[411/526], Loss: 0.5530
Epoch [5/100], Step[412/526], Loss: 0.5931
Epoch [5/100], Step[413/526], Loss: 0.6328
Epoch [5/100], Step[414/526], Loss: 0.6439
Epoch [5/100], Step[415/526], Loss: 0.6317
Epoch [5/100], Step[416/526], Loss: 0.5536
Epoch [5/100], Step[417/526], Loss: 0.4863
Epoch [5/100], Step[418/526], Loss: 0.7909
Epoch [5/100], Step[419/526], Loss: 0.7033
Epoch [5/100], Step[420/526], Loss: 0.6916
Epoch [5/100], Step[421/526], Loss: 0.6289
Epoch [5/100], Step[422/526], Loss: 0.8030
Epoch [5/100], Step[423/526], Loss: 0.7384
Epoch [5/100], Step[424/526], Loss: 0.7356
Epoch [5/100], Step[425/526], Loss: 0.6795
Epoch [5/100], Step[426/526], Loss: 0.7751
Epoch [5/100], Step[427/526], Loss: 0.6566
Epoch [5/100], Step[428/526], Loss: 0.7045
Epoch [5/100], Step[429/526], Loss: 0.7132
Epoch [5/100], Step[430/526], Loss: 0.8370
Epoch [5/100], Step[431/526], Loss: 0.7357
Epoch [5/100], Step[432/526], Loss: 0.7714
Epoch [5/100], Step[433/526], Loss: 0.7216
Epoch [5/100], Step[434/526], Loss: 0.6223
Epoch [5/100], Step[435/526], Loss: 0.7443
Epoch [5/100], Step[436/526], Loss: 0.7680
Epoch [5/100], Step[437/526], Loss: 0.5745
Epoch [5/100], Step[438/526], Loss: 0.3992
Epoch [5/100], Step[439/526], Loss: 0.7457
Epoch [5/100], Step[440/526], Loss: 0.7142
Epoch [5/100], Step[441/526], Loss: 0.6933
Epoch [5/100], Step[442/526], Loss: 0.6465
Epoch [5/100], Step[443/526], Loss: 0.6671
Epoch [5/100], Step[444/526], Loss: 0.7450
Epoch [5/100], Step[445/526], Loss: 0.6963
Epoch [5/100], Step[446/526], Loss: 0.7172
Epoch [5/100], Step[447/526], Loss: 0.7095
Epoch [5/100], Step[448/526], Loss: 0.8476
Epoch [5/100], Step[449/526], Loss: 0.7219
Epoch [5/100], Step[450/526], Loss: 0.6089
Epoch [5/100], Step[451/526], Loss: 0.6460
Epoch [5/100], Step[452/526], Loss: 0.7090
Epoch [5/100], Step[453/526], Loss: 0.7307
Epoch [5/100], Step[454/526], Loss: 0.7940
Epoch [5/100], Step[455/526], Loss: 0.6490
Epoch [5/100], Step[456/526], Loss: 0.6421
Epoch [5/100], Step[457/526], Loss: 0.6846
Epoch [5/100], Step[458/526], Loss: 0.6810
Epoch [5/100], Step[459/526], Loss: 0.6812
Epoch [5/100], Step[460/526], Loss: 0.6661
Epoch [5/100], Step[461/526], Loss: 0.6381
Epoch [5/100], Step[462/526], Loss: 0.6776
Epoch [5/100], Step[463/526], Loss: 0.6321
Epoch [5/100], Step[464/526], Loss: 0.6551
Epoch [5/100], Step[465/526], Loss: 0.6612
Epoch [5/100], Step[466/526], Loss: 0.6609
Epoch [5/100], Step[467/526], Loss: 0.6345
Epoch [5/100], Step[468/526], Loss: 0.6312
Epoch [5/100], Step[469/526], Loss: 0.7963
Epoch [5/100], Step[470/526], Loss: 0.6450
Epoch [5/100], Step[471/526], Loss: 0.6938
Epoch [5/100], Step[472/526], Loss: 0.6422
Epoch [5/100], Step[473/526], Loss: 0.6793
Epoch [5/100], Step[474/526], Loss: 0.6703
Epoch [5/100], Step[475/526], Loss: 0.7956
Epoch [5/100], Step[476/526], Loss: 0.7549
Epoch [5/100], Step[477/526], Loss: 0.6728
Epoch [5/100], Step[478/526], Loss: 0.6979
Epoch [5/100], Step[479/526], Loss: 0.6798
Epoch [5/100], Step[480/526], Loss: 0.7288
Epoch [5/100], Step[481/526], Loss: 0.6994
Epoch [5/100], Step[482/526], Loss: 0.6915
Epoch [5/100], Step[483/526], Loss: 0.5785
Epoch [5/100], Step[484/526], Loss: 0.6756
Epoch [5/100], Step[485/526], Loss: 0.7755
Epoch [5/100], Step[486/526], Loss: 0.7151
Epoch [5/100], Step[487/526], Loss: 0.7222
Epoch [5/100], Step[488/526], Loss: 0.6539
Epoch [5/100], Step[489/526], Loss: 0.6446
Epoch [5/100], Step[490/526], Loss: 0.6093
Epoch [5/100], Step[491/526], Loss: 0.6764
Epoch [5/100], Step[492/526], Loss: 0.6496
Epoch [5/100], Step[493/526], Loss: 0.6579
Epoch [5/100], Step[494/526], Loss: 0.6922
Epoch [5/100], Step[495/526], Loss: 0.7135
Epoch [5/100], Step[496/526], Loss: 0.6482
Epoch [5/100], Step[497/526], Loss: 0.6539
Epoch [5/100], Step[498/526], Loss: 0.7112
Epoch [5/100], Step[499/526], Loss: 0.6788
Epoch [5/100], Step[500/526], Loss: 0.6826
Epoch [5/100], Step[501/526], Loss: 0.6800
Epoch [5/100], Step[502/526], Loss: 0.7039
Epoch [5/100], Step[503/526], Loss: 0.6928
Epoch [5/100], Step[504/526], Loss: 0.6898
Epoch [5/100], Step[505/526], Loss: 0.7252
Epoch [5/100], Step[506/526], Loss: 0.7065
Epoch [5/100], Step[507/526], Loss: 0.6960
Epoch [5/100], Step[508/526], Loss: 0.7174
Epoch [5/100], Step[509/526], Loss: 0.6868
Epoch [5/100], Step[510/526], Loss: 0.7088
Epoch [5/100], Step[511/526], Loss: 0.6426
Epoch [5/100], Step[512/526], Loss: 0.6624
Epoch [5/100], Step[513/526], Loss: 0.6463
Epoch [5/100], Step[514/526], Loss: 0.6357
Epoch [5/100], Step[515/526], Loss: 0.5865
Epoch [5/100], Step[516/526], Loss: 0.7587
Epoch [5/100], Step[517/526], Loss: 0.7008
Epoch [5/100], Step[518/526], Loss: 0.7323
Epoch [5/100], Step[519/526], Loss: 0.7230
Epoch [5/100], Step[520/526], Loss: 0.6869
Epoch [5/100], Step[521/526], Loss: 0.6597
Epoch [5/100], Step[522/526], Loss: 0.6640
Epoch [5/100], Step[523/526], Loss: 0.6816
Epoch [5/100], Step[524/526], Loss: 0.6766
Epoch [5/100], Step[525/526], Loss: 0.7357
Epoch [5/100], Step[526/526], Loss: 0.6765
Epoch [6/100], Step[1/526], Loss: 0.6565
Epoch [6/100], Step[2/526], Loss: 0.6562
Epoch [6/100], Step[3/526], Loss: 0.6671
Epoch [6/100], Step[4/526], Loss: 0.6376
Epoch [6/100], Step[5/526], Loss: 0.7334
Epoch [6/100], Step[6/526], Loss: 0.7440
Epoch [6/100], Step[7/526], Loss: 0.6895
Epoch [6/100], Step[8/526], Loss: 0.7010
Epoch [6/100], Step[9/526], Loss: 0.7031
Epoch [6/100], Step[10/526], Loss: 0.6767
Epoch [6/100], Step[11/526], Loss: 0.6659
Epoch [6/100], Step[12/526], Loss: 0.7121
Epoch [6/100], Step[13/526], Loss: 0.6552
Epoch [6/100], Step[14/526], Loss: 0.6841
Epoch [6/100], Step[15/526], Loss: 0.6819
Epoch [6/100], Step[16/526], Loss: 0.6989
Epoch [6/100], Step[17/526], Loss: 0.6857
Epoch [6/100], Step[18/526], Loss: 0.7224
Epoch [6/100], Step[19/526], Loss: 0.6788
Epoch [6/100], Step[20/526], Loss: 0.7167
Epoch [6/100], Step[21/526], Loss: 0.7495
Epoch [6/100], Step[22/526], Loss: 0.7111
Epoch [6/100], Step[23/526], Loss: 0.7309
Epoch [6/100], Step[24/526], Loss: 0.7315
Epoch [6/100], Step[25/526], Loss: 0.7039
Epoch [6/100], Step[26/526], Loss: 0.6730
Epoch [6/100], Step[27/526], Loss: 0.7114
Epoch [6/100], Step[28/526], Loss: 0.7075
Epoch [6/100], Step[29/526], Loss: 0.6726
Epoch [6/100], Step[30/526], Loss: 0.6828
Epoch [6/100], Step[31/526], Loss: 0.7034
Epoch [6/100], Step[32/526], Loss: 0.6962
Epoch [6/100], Step[33/526], Loss: 0.7090
Epoch [6/100], Step[34/526], Loss: 0.6840
Epoch [6/100], Step[35/526], Loss: 0.7040
Epoch [6/100], Step[36/526], Loss: 0.6933
Epoch [6/100], Step[37/526], Loss: 0.7003
Epoch [6/100], Step[38/526], Loss: 0.6843
Epoch [6/100], Step[39/526], Loss: 0.7158
Epoch [6/100], Step[40/526], Loss: 0.7196
Epoch [6/100], Step[41/526], Loss: 0.6635
Epoch [6/100], Step[42/526], Loss: 0.7070
Epoch [6/100], Step[43/526], Loss: 0.7080
Epoch [6/100], Step[44/526], Loss: 0.6795
Epoch [6/100], Step[45/526], Loss: 0.6823
Epoch [6/100], Step[46/526], Loss: 0.6755
Epoch [6/100], Step[47/526], Loss: 0.7097
Epoch [6/100], Step[48/526], Loss: 0.7145
Epoch [6/100], Step[49/526], Loss: 0.7002
Epoch [6/100], Step[50/526], Loss: 0.7057
Epoch [6/100], Step[51/526], Loss: 0.6911
Epoch [6/100], Step[52/526], Loss: 0.6937
Epoch [6/100], Step[53/526], Loss: 0.7093
Epoch [6/100], Step[54/526], Loss: 0.6928
Epoch [6/100], Step[55/526], Loss: 0.6942
Epoch [6/100], Step[56/526], Loss: 0.6972
Epoch [6/100], Step[57/526], Loss: 0.6878
Epoch [6/100], Step[58/526], Loss: 0.6816
Epoch [6/100], Step[59/526], Loss: 0.6841
Epoch [6/100], Step[60/526], Loss: 0.6749
Epoch [6/100], Step[61/526], Loss: 0.6656
Epoch [6/100], Step[62/526], Loss: 0.6990
Epoch [6/100], Step[63/526], Loss: 0.6883
Epoch [6/100], Step[64/526], Loss: 0.6832
Epoch [6/100], Step[65/526], Loss: 0.7004
Epoch [6/100], Step[66/526], Loss: 0.6823
Epoch [6/100], Step[67/526], Loss: 0.6646
Epoch [6/100], Step[68/526], Loss: 0.6619
Epoch [6/100], Step[69/526], Loss: 0.6968
Epoch [6/100], Step[70/526], Loss: 0.6853
Epoch [6/100], Step[71/526], Loss: 0.6707
Epoch [6/100], Step[72/526], Loss: 0.6802
Epoch [6/100], Step[73/526], Loss: 0.7008
Epoch [6/100], Step[74/526], Loss: 0.6763
Epoch [6/100], Step[75/526], Loss: 0.7029
Epoch [6/100], Step[76/526], Loss: 0.6976
Epoch [6/100], Step[77/526], Loss: 0.6826
Epoch [6/100], Step[78/526], Loss: 0.6998
Epoch [6/100], Step[79/526], Loss: 0.6941
Epoch [6/100], Step[80/526], Loss: 0.6982
Epoch [6/100], Step[81/526], Loss: 0.6957
Epoch [6/100], Step[82/526], Loss: 0.7223
Epoch [6/100], Step[83/526], Loss: 0.7081
Epoch [6/100], Step[84/526], Loss: 0.6968
Epoch [6/100], Step[85/526], Loss: 0.6706
Epoch [6/100], Step[86/526], Loss: 0.6980
Epoch [6/100], Step[87/526], Loss: 0.6873
Epoch [6/100], Step[88/526], Loss: 0.6801
Epoch [6/100], Step[89/526], Loss: 0.7143
Epoch [6/100], Step[90/526], Loss: 0.6932
Epoch [6/100], Step[91/526], Loss: 0.6738
Epoch [6/100], Step[92/526], Loss: 0.6840
Epoch [6/100], Step[93/526], Loss: 0.6813
Epoch [6/100], Step[94/526], Loss: 0.7868
Epoch [6/100], Step[95/526], Loss: 0.7079
Epoch [6/100], Step[96/526], Loss: 0.6502
Epoch [6/100], Step[97/526], Loss: 0.6358
Epoch [6/100], Step[98/526], Loss: 0.6928
Epoch [6/100], Step[99/526], Loss: 0.6750
Epoch [6/100], Step[100/526], Loss: 0.6818
Epoch [6/100], Step[101/526], Loss: 0.6624
Epoch [6/100], Step[102/526], Loss: 0.6319
Epoch [6/100], Step[103/526], Loss: 0.6405
Epoch [6/100], Step[104/526], Loss: 0.6486
Epoch [6/100], Step[105/526], Loss: 0.6598
Epoch [6/100], Step[106/526], Loss: 0.6711
Epoch [6/100], Step[107/526], Loss: 0.6408
Epoch [6/100], Step[108/526], Loss: 0.6131
Epoch [6/100], Step[109/526], Loss: 0.6815
Epoch [6/100], Step[110/526], Loss: 0.6893
Epoch [6/100], Step[111/526], Loss: 0.6138
Epoch [6/100], Step[112/526], Loss: 0.6978
Epoch [6/100], Step[113/526], Loss: 0.6174
Epoch [6/100], Step[114/526], Loss: 0.6635
Epoch [6/100], Step[115/526], Loss: 0.6269
Epoch [6/100], Step[116/526], Loss: 0.5900
Epoch [6/100], Step[117/526], Loss: 0.5944
Epoch [6/100], Step[118/526], Loss: 0.7458
Epoch [6/100], Step[119/526], Loss: 0.6769
Epoch [6/100], Step[120/526], Loss: 0.6447
Epoch [6/100], Step[121/526], Loss: 0.6719
Epoch [6/100], Step[122/526], Loss: 0.6414
Epoch [6/100], Step[123/526], Loss: 0.6689
Epoch [6/100], Step[124/526], Loss: 0.6744
Epoch [6/100], Step[125/526], Loss: 0.6242
Epoch [6/100], Step[126/526], Loss: 0.6879
Epoch [6/100], Step[127/526], Loss: 0.6717
Epoch [6/100], Step[128/526], Loss: 0.6245
Epoch [6/100], Step[129/526], Loss: 0.5508
Epoch [6/100], Step[130/526], Loss: 0.5714
Epoch [6/100], Step[131/526], Loss: 0.6860
Epoch [6/100], Step[132/526], Loss: 0.7455
Epoch [6/100], Step[133/526], Loss: 0.6719
Epoch [6/100], Step[134/526], Loss: 0.6386
Epoch [6/100], Step[135/526], Loss: 0.6277
Epoch [6/100], Step[136/526], Loss: 0.5417
Epoch [6/100], Step[137/526], Loss: 0.5644
Epoch [6/100], Step[138/526], Loss: 0.6321
Epoch [6/100], Step[139/526], Loss: 0.7241
Epoch [6/100], Step[140/526], Loss: 0.5628
Epoch [6/100], Step[141/526], Loss: 0.6572
Epoch [6/100], Step[142/526], Loss: 0.6734
Epoch [6/100], Step[143/526], Loss: 0.6930
Epoch [6/100], Step[144/526], Loss: 0.8398
Epoch [6/100], Step[145/526], Loss: 0.6064
Epoch [6/100], Step[146/526], Loss: 0.5188
Epoch [6/100], Step[147/526], Loss: 0.5028
Epoch [6/100], Step[148/526], Loss: 0.5978
Epoch [6/100], Step[149/526], Loss: 0.5369
Epoch [6/100], Step[150/526], Loss: 0.6143
Epoch [6/100], Step[151/526], Loss: 0.5636
Epoch [6/100], Step[152/526], Loss: 0.6508
Epoch [6/100], Step[153/526], Loss: 0.6227
Epoch [6/100], Step[154/526], Loss: 0.7279
Epoch [6/100], Step[155/526], Loss: 0.6696
Epoch [6/100], Step[156/526], Loss: 0.4997
Epoch [6/100], Step[157/526], Loss: 0.2733
Epoch [6/100], Step[158/526], Loss: 0.5585
Epoch [6/100], Step[159/526], Loss: 0.6176
Epoch [6/100], Step[160/526], Loss: 0.5666
Epoch [6/100], Step[161/526], Loss: 1.6027
Epoch [6/100], Step[162/526], Loss: 0.7102
Epoch [6/100], Step[163/526], Loss: 0.8033
Epoch [6/100], Step[164/526], Loss: 0.6618
Epoch [6/100], Step[165/526], Loss: 0.7310
Epoch [6/100], Step[166/526], Loss: 0.5048
Epoch [6/100], Step[167/526], Loss: 0.5409
Epoch [6/100], Step[168/526], Loss: 0.7777
Epoch [6/100], Step[169/526], Loss: 0.8471
Epoch [6/100], Step[170/526], Loss: 0.7563
Epoch [6/100], Step[171/526], Loss: 0.7186
Epoch [6/100], Step[172/526], Loss: 0.7319
Epoch [6/100], Step[173/526], Loss: 0.7937
Epoch [6/100], Step[174/526], Loss: 0.6481
Epoch [6/100], Step[175/526], Loss: 0.6437
Epoch [6/100], Step[176/526], Loss: 0.6485
Epoch [6/100], Step[177/526], Loss: 0.6524
Epoch [6/100], Step[178/526], Loss: 0.7218
Epoch [6/100], Step[179/526], Loss: 0.6476
Epoch [6/100], Step[180/526], Loss: 0.6684
Epoch [6/100], Step[181/526], Loss: 0.6630
Epoch [6/100], Step[182/526], Loss: 0.6967
Epoch [6/100], Step[183/526], Loss: 0.5612
Epoch [6/100], Step[184/526], Loss: 0.6086
Epoch [6/100], Step[185/526], Loss: 0.5908
Epoch [6/100], Step[186/526], Loss: 0.6673
Epoch [6/100], Step[187/526], Loss: 0.7263
Epoch [6/100], Step[188/526], Loss: 0.7401
Epoch [6/100], Step[189/526], Loss: 0.6893
Epoch [6/100], Step[190/526], Loss: 0.6218
Epoch [6/100], Step[191/526], Loss: 0.7393
Epoch [6/100], Step[192/526], Loss: 0.7701
Epoch [6/100], Step[193/526], Loss: 0.6694
Epoch [6/100], Step[194/526], Loss: 0.6704
Epoch [6/100], Step[195/526], Loss: 0.6618
Epoch [6/100], Step[196/526], Loss: 0.7264
Epoch [6/100], Step[197/526], Loss: 0.7028
Epoch [6/100], Step[198/526], Loss: 0.6255
Epoch [6/100], Step[199/526], Loss: 0.6886
Epoch [6/100], Step[200/526], Loss: 0.6520
Epoch [6/100], Step[201/526], Loss: 0.6920
Epoch [6/100], Step[202/526], Loss: 0.7975
Epoch [6/100], Step[203/526], Loss: 0.6558
Epoch [6/100], Step[204/526], Loss: 0.7668
Epoch [6/100], Step[205/526], Loss: 0.7222
Epoch [6/100], Step[206/526], Loss: 0.6693
Epoch [6/100], Step[207/526], Loss: 0.7094
Epoch [6/100], Step[208/526], Loss: 0.6892
Epoch [6/100], Step[209/526], Loss: 0.6874
Epoch [6/100], Step[210/526], Loss: 0.6922
Epoch [6/100], Step[211/526], Loss: 0.6288
Epoch [6/100], Step[212/526], Loss: 0.6879
Epoch [6/100], Step[213/526], Loss: 0.7167
Epoch [6/100], Step[214/526], Loss: 0.7059
Epoch [6/100], Step[215/526], Loss: 0.7096
Epoch [6/100], Step[216/526], Loss: 0.6925
Epoch [6/100], Step[217/526], Loss: 0.6821
Epoch [6/100], Step[218/526], Loss: 0.6817
Epoch [6/100], Step[219/526], Loss: 0.6983
Epoch [6/100], Step[220/526], Loss: 0.6761
Epoch [6/100], Step[221/526], Loss: 0.7220
Epoch [6/100], Step[222/526], Loss: 0.6593
Epoch [6/100], Step[223/526], Loss: 0.6843
Epoch [6/100], Step[224/526], Loss: 0.6822
Epoch [6/100], Step[225/526], Loss: 0.6599
Epoch [6/100], Step[226/526], Loss: 0.6828
Epoch [6/100], Step[227/526], Loss: 0.6671
Epoch [6/100], Step[228/526], Loss: 0.6863
Epoch [6/100], Step[229/526], Loss: 0.6896
Epoch [6/100], Step[230/526], Loss: 0.6723
Epoch [6/100], Step[231/526], Loss: 0.6946
Epoch [6/100], Step[232/526], Loss: 0.7406
Epoch [6/100], Step[233/526], Loss: 0.6804
Epoch [6/100], Step[234/526], Loss: 0.6910
Epoch [6/100], Step[235/526], Loss: 0.6673
Epoch [6/100], Step[236/526], Loss: 0.6752
Epoch [6/100], Step[237/526], Loss: 0.7209
Epoch [6/100], Step[238/526], Loss: 0.6848
Epoch [6/100], Step[239/526], Loss: 0.6692
Epoch [6/100], Step[240/526], Loss: 0.6845
Epoch [6/100], Step[241/526], Loss: 0.6675
Epoch [6/100], Step[242/526], Loss: 0.6613
Epoch [6/100], Step[243/526], Loss: 0.6694
Epoch [6/100], Step[244/526], Loss: 0.6421
Epoch [6/100], Step[245/526], Loss: 0.6675
Epoch [6/100], Step[246/526], Loss: 0.6812
Epoch [6/100], Step[247/526], Loss: 0.6345
Epoch [6/100], Step[248/526], Loss: 0.6450
Epoch [6/100], Step[249/526], Loss: 0.6524
Epoch [6/100], Step[250/526], Loss: 0.6932
Epoch [6/100], Step[251/526], Loss: 0.6847
Epoch [6/100], Step[252/526], Loss: 0.7017
Epoch [6/100], Step[253/526], Loss: 0.6704
Epoch [6/100], Step[254/526], Loss: 0.7094
Epoch [6/100], Step[255/526], Loss: 0.6363
Epoch [6/100], Step[256/526], Loss: 0.6961
Epoch [6/100], Step[257/526], Loss: 0.5993
Epoch [6/100], Step[258/526], Loss: 0.6408
Epoch [6/100], Step[259/526], Loss: 0.7060
Epoch [6/100], Step[260/526], Loss: 0.6914
Epoch [6/100], Step[261/526], Loss: 0.6921
Epoch [6/100], Step[262/526], Loss: 0.6314
Epoch [6/100], Step[263/526], Loss: 0.6399
Epoch [6/100], Step[264/526], Loss: 0.6218
Epoch [6/100], Step[265/526], Loss: 0.5563
Epoch [6/100], Step[266/526], Loss: 0.5305
Epoch [6/100], Step[267/526], Loss: 0.5685
Epoch [6/100], Step[268/526], Loss: 0.6214
Epoch [6/100], Step[269/526], Loss: 0.5202
Epoch [6/100], Step[270/526], Loss: 0.4785
Epoch [6/100], Step[271/526], Loss: 0.5522
Epoch [6/100], Step[272/526], Loss: 0.5394
Epoch [6/100], Step[273/526], Loss: 0.5964
Epoch [6/100], Step[274/526], Loss: 0.5126
Epoch [6/100], Step[275/526], Loss: 0.4932
Epoch [6/100], Step[276/526], Loss: 0.5180
Epoch [6/100], Step[277/526], Loss: 0.4739
Epoch [6/100], Step[278/526], Loss: 0.4953
Epoch [6/100], Step[279/526], Loss: 0.4491
Epoch [6/100], Step[280/526], Loss: 0.5135
Epoch [6/100], Step[281/526], Loss: 0.6001
Epoch [6/100], Step[282/526], Loss: 0.4009
Epoch [6/100], Step[283/526], Loss: 0.3747
Epoch [6/100], Step[284/526], Loss: 0.4345
Epoch [6/100], Step[285/526], Loss: 0.3258
Epoch [6/100], Step[286/526], Loss: 0.6708
Epoch [6/100], Step[287/526], Loss: 0.5488
Epoch [6/100], Step[288/526], Loss: 0.4295
Epoch [6/100], Step[289/526], Loss: 0.5927
Epoch [6/100], Step[290/526], Loss: 0.4501
Epoch [6/100], Step[291/526], Loss: 0.5387
Epoch [6/100], Step[292/526], Loss: 0.3368
Epoch [6/100], Step[293/526], Loss: 0.3409
Epoch [6/100], Step[294/526], Loss: 0.3682
Epoch [6/100], Step[295/526], Loss: 0.4437
Epoch [6/100], Step[296/526], Loss: 0.6357
Epoch [6/100], Step[297/526], Loss: 0.2944
Epoch [6/100], Step[298/526], Loss: 0.4017
Epoch [6/100], Step[299/526], Loss: 0.3142
Epoch [6/100], Step[300/526], Loss: 0.3455
Epoch [6/100], Step[301/526], Loss: 0.6022
Epoch [6/100], Step[302/526], Loss: 0.3550
Epoch [6/100], Step[303/526], Loss: 0.4980
Epoch [6/100], Step[304/526], Loss: 0.2702
Epoch [6/100], Step[305/526], Loss: 0.3653
Epoch [6/100], Step[306/526], Loss: 0.6192
Epoch [6/100], Step[307/526], Loss: 0.8863
Epoch [6/100], Step[308/526], Loss: 1.1488
Epoch [6/100], Step[309/526], Loss: 0.9942
Epoch [6/100], Step[310/526], Loss: 0.9155
Epoch [6/100], Step[311/526], Loss: 0.8229
Epoch [6/100], Step[312/526], Loss: 0.5370
Epoch [6/100], Step[313/526], Loss: 0.5143
Epoch [6/100], Step[314/526], Loss: 0.5982
Epoch [6/100], Step[315/526], Loss: 0.7304
Epoch [6/100], Step[316/526], Loss: 0.5448
Epoch [6/100], Step[317/526], Loss: 0.2875
Epoch [6/100], Step[318/526], Loss: 0.7158
Epoch [6/100], Step[319/526], Loss: 0.4022
Epoch [6/100], Step[320/526], Loss: 0.5866
Epoch [6/100], Step[321/526], Loss: 0.8327
Epoch [6/100], Step[322/526], Loss: 0.3052
Epoch [6/100], Step[323/526], Loss: 0.5984
Epoch [6/100], Step[324/526], Loss: 0.7146
Epoch [6/100], Step[325/526], Loss: 0.6103
Epoch [6/100], Step[326/526], Loss: 0.8182
Epoch [6/100], Step[327/526], Loss: 0.8457
Epoch [6/100], Step[328/526], Loss: 0.8282
Epoch [6/100], Step[329/526], Loss: 1.0953
Epoch [6/100], Step[330/526], Loss: 0.8432
Epoch [6/100], Step[331/526], Loss: 0.8851
Epoch [6/100], Step[332/526], Loss: 0.9411
Epoch [6/100], Step[333/526], Loss: 0.7699
Epoch [6/100], Step[334/526], Loss: 0.8333
Epoch [6/100], Step[335/526], Loss: 0.8604
Epoch [6/100], Step[336/526], Loss: 0.6898
Epoch [6/100], Step[337/526], Loss: 0.6246
Epoch [6/100], Step[338/526], Loss: 0.6916
Epoch [6/100], Step[339/526], Loss: 0.6649
Epoch [6/100], Step[340/526], Loss: 0.7345
Epoch [6/100], Step[341/526], Loss: 0.7712
Epoch [6/100], Step[342/526], Loss: 0.7963
Epoch [6/100], Step[343/526], Loss: 0.5991
Epoch [6/100], Step[344/526], Loss: 0.7194
Epoch [6/100], Step[345/526], Loss: 0.6941
Epoch [6/100], Step[346/526], Loss: 0.6909
Epoch [6/100], Step[347/526], Loss: 0.7009
Epoch [6/100], Step[348/526], Loss: 0.6613
Epoch [6/100], Step[349/526], Loss: 0.6296
Epoch [6/100], Step[350/526], Loss: 0.6878
Epoch [6/100], Step[351/526], Loss: 0.7238
Epoch [6/100], Step[352/526], Loss: 0.6248
Epoch [6/100], Step[353/526], Loss: 0.7182
Epoch [6/100], Step[354/526], Loss: 0.6731
Epoch [6/100], Step[355/526], Loss: 0.6978
Epoch [6/100], Step[356/526], Loss: 0.7132
Epoch [6/100], Step[357/526], Loss: 0.6801
Epoch [6/100], Step[358/526], Loss: 0.7008
Epoch [6/100], Step[359/526], Loss: 0.6899
Epoch [6/100], Step[360/526], Loss: 0.6817
Epoch [6/100], Step[361/526], Loss: 0.8011
Epoch [6/100], Step[362/526], Loss: 0.7753
Epoch [6/100], Step[363/526], Loss: 0.6838
Epoch [6/100], Step[364/526], Loss: 0.7213
Epoch [6/100], Step[365/526], Loss: 0.7206
Epoch [6/100], Step[366/526], Loss: 0.6920
Epoch [6/100], Step[367/526], Loss: 0.6939
Epoch [6/100], Step[368/526], Loss: 0.6587
Epoch [6/100], Step[369/526], Loss: 0.6682
Epoch [6/100], Step[370/526], Loss: 0.5788
Epoch [6/100], Step[371/526], Loss: 0.7362
Epoch [6/100], Step[372/526], Loss: 0.6646
Epoch [6/100], Step[373/526], Loss: 0.6907
Epoch [6/100], Step[374/526], Loss: 0.6952
Epoch [6/100], Step[375/526], Loss: 0.6813
Epoch [6/100], Step[376/526], Loss: 0.6802
Epoch [6/100], Step[377/526], Loss: 0.6945
Epoch [6/100], Step[378/526], Loss: 0.7048
Epoch [6/100], Step[379/526], Loss: 0.7110
Epoch [6/100], Step[380/526], Loss: 0.6411
Epoch [6/100], Step[381/526], Loss: 0.6379
Epoch [6/100], Step[382/526], Loss: 0.6796
Epoch [6/100], Step[383/526], Loss: 0.6783
Epoch [6/100], Step[384/526], Loss: 0.6563
Epoch [6/100], Step[385/526], Loss: 0.6649
Epoch [6/100], Step[386/526], Loss: 0.6847
Epoch [6/100], Step[387/526], Loss: 0.6760
Epoch [6/100], Step[388/526], Loss: 0.6367
Epoch [6/100], Step[389/526], Loss: 0.7066
Epoch [6/100], Step[390/526], Loss: 0.6440
Epoch [6/100], Step[391/526], Loss: 0.6635
Epoch [6/100], Step[392/526], Loss: 0.6873
Epoch [6/100], Step[393/526], Loss: 0.6260
Epoch [6/100], Step[394/526], Loss: 0.5723
Epoch [6/100], Step[395/526], Loss: 0.6880
Epoch [6/100], Step[396/526], Loss: 0.6522
Epoch [6/100], Step[397/526], Loss: 0.5277
Epoch [6/100], Step[398/526], Loss: 0.6297
Epoch [6/100], Step[399/526], Loss: 0.6610
Epoch [6/100], Step[400/526], Loss: 0.5230
Epoch [6/100], Step[401/526], Loss: 0.5871
Epoch [6/100], Step[402/526], Loss: 0.6428
Epoch [6/100], Step[403/526], Loss: 0.6919
Epoch [6/100], Step[404/526], Loss: 0.5141
Epoch [6/100], Step[405/526], Loss: 0.5284
Epoch [6/100], Step[406/526], Loss: 0.6782
Epoch [6/100], Step[407/526], Loss: 0.7470
Epoch [6/100], Step[408/526], Loss: 0.6479
Epoch [6/100], Step[409/526], Loss: 0.4651
Epoch [6/100], Step[410/526], Loss: 0.4856
Epoch [6/100], Step[411/526], Loss: 0.5372
Epoch [6/100], Step[412/526], Loss: 0.5789
Epoch [6/100], Step[413/526], Loss: 0.6020
Epoch [6/100], Step[414/526], Loss: 0.6457
Epoch [6/100], Step[415/526], Loss: 0.6101
Epoch [6/100], Step[416/526], Loss: 0.5481
Epoch [6/100], Step[417/526], Loss: 0.4919
Epoch [6/100], Step[418/526], Loss: 0.7637
Epoch [6/100], Step[419/526], Loss: 0.7314
Epoch [6/100], Step[420/526], Loss: 0.6844
Epoch [6/100], Step[421/526], Loss: 0.6285
Epoch [6/100], Step[422/526], Loss: 0.8080
Epoch [6/100], Step[423/526], Loss: 0.7226
Epoch [6/100], Step[424/526], Loss: 0.7248
Epoch [6/100], Step[425/526], Loss: 0.6852
Epoch [6/100], Step[426/526], Loss: 0.7865
Epoch [6/100], Step[427/526], Loss: 0.6614
Epoch [6/100], Step[428/526], Loss: 0.7056
Epoch [6/100], Step[429/526], Loss: 0.7288
Epoch [6/100], Step[430/526], Loss: 0.8597
Epoch [6/100], Step[431/526], Loss: 0.7384
Epoch [6/100], Step[432/526], Loss: 0.7768
Epoch [6/100], Step[433/526], Loss: 0.7264
Epoch [6/100], Step[434/526], Loss: 0.6269
Epoch [6/100], Step[435/526], Loss: 0.7663
Epoch [6/100], Step[436/526], Loss: 0.7868
Epoch [6/100], Step[437/526], Loss: 0.5611
Epoch [6/100], Step[438/526], Loss: 0.3719
Epoch [6/100], Step[439/526], Loss: 0.7663
Epoch [6/100], Step[440/526], Loss: 0.7123
Epoch [6/100], Step[441/526], Loss: 0.7031
Epoch [6/100], Step[442/526], Loss: 0.6453
Epoch [6/100], Step[443/526], Loss: 0.6701
Epoch [6/100], Step[444/526], Loss: 0.7459
Epoch [6/100], Step[445/526], Loss: 0.6919
Epoch [6/100], Step[446/526], Loss: 0.7305
Epoch [6/100], Step[447/526], Loss: 0.7080
Epoch [6/100], Step[448/526], Loss: 0.8694
Epoch [6/100], Step[449/526], Loss: 0.7481
Epoch [6/100], Step[450/526], Loss: 0.6052
Epoch [6/100], Step[451/526], Loss: 0.6115
Epoch [6/100], Step[452/526], Loss: 0.7174
Epoch [6/100], Step[453/526], Loss: 0.7391
Epoch [6/100], Step[454/526], Loss: 0.8385
Epoch [6/100], Step[455/526], Loss: 0.6788
Epoch [6/100], Step[456/526], Loss: 0.6475
Epoch [6/100], Step[457/526], Loss: 0.6788
Epoch [6/100], Step[458/526], Loss: 0.6758
Epoch [6/100], Step[459/526], Loss: 0.6827
Epoch [6/100], Step[460/526], Loss: 0.6766
Epoch [6/100], Step[461/526], Loss: 0.6546
Epoch [6/100], Step[462/526], Loss: 0.6816
Epoch [6/100], Step[463/526], Loss: 0.6495
Epoch [6/100], Step[464/526], Loss: 0.6706
Epoch [6/100], Step[465/526], Loss: 0.6746
Epoch [6/100], Step[466/526], Loss: 0.6664
Epoch [6/100], Step[467/526], Loss: 0.6561
Epoch [6/100], Step[468/526], Loss: 0.6490
Epoch [6/100], Step[469/526], Loss: 0.7700
Epoch [6/100], Step[470/526], Loss: 0.6581
Epoch [6/100], Step[471/526], Loss: 0.7076
Epoch [6/100], Step[472/526], Loss: 0.6675
Epoch [6/100], Step[473/526], Loss: 0.6851
Epoch [6/100], Step[474/526], Loss: 0.6795
Epoch [6/100], Step[475/526], Loss: 0.7601
Epoch [6/100], Step[476/526], Loss: 0.7486
Epoch [6/100], Step[477/526], Loss: 0.6908
Epoch [6/100], Step[478/526], Loss: 0.6947
Epoch [6/100], Step[479/526], Loss: 0.6809
Epoch [6/100], Step[480/526], Loss: 0.7245
Epoch [6/100], Step[481/526], Loss: 0.6920
Epoch [6/100], Step[482/526], Loss: 0.6609
Epoch [6/100], Step[483/526], Loss: 0.5770
Epoch [6/100], Step[484/526], Loss: 0.6697
Epoch [6/100], Step[485/526], Loss: 0.7539
Epoch [6/100], Step[486/526], Loss: 0.6976
Epoch [6/100], Step[487/526], Loss: 0.7130
Epoch [6/100], Step[488/526], Loss: 0.6825
Epoch [6/100], Step[489/526], Loss: 0.6669
Epoch [6/100], Step[490/526], Loss: 0.6336
Epoch [6/100], Step[491/526], Loss: 0.6812
Epoch [6/100], Step[492/526], Loss: 0.6728
Epoch [6/100], Step[493/526], Loss: 0.6708
Epoch [6/100], Step[494/526], Loss: 0.6688
Epoch [6/100], Step[495/526], Loss: 0.6967
Epoch [6/100], Step[496/526], Loss: 0.6662
Epoch [6/100], Step[497/526], Loss: 0.6594
Epoch [6/100], Step[498/526], Loss: 0.7011
Epoch [6/100], Step[499/526], Loss: 0.6851
Epoch [6/100], Step[500/526], Loss: 0.6826
Epoch [6/100], Step[501/526], Loss: 0.6716
Epoch [6/100], Step[502/526], Loss: 0.6905
Epoch [6/100], Step[503/526], Loss: 0.6955
Epoch [6/100], Step[504/526], Loss: 0.6844
Epoch [6/100], Step[505/526], Loss: 0.7091
Epoch [6/100], Step[506/526], Loss: 0.6999
Epoch [6/100], Step[507/526], Loss: 0.6842
Epoch [6/100], Step[508/526], Loss: 0.7120
Epoch [6/100], Step[509/526], Loss: 0.6813
Epoch [6/100], Step[510/526], Loss: 0.7044
Epoch [6/100], Step[511/526], Loss: 0.6474
Epoch [6/100], Step[512/526], Loss: 0.6657
Epoch [6/100], Step[513/526], Loss: 0.6653
Epoch [6/100], Step[514/526], Loss: 0.6393
Epoch [6/100], Step[515/526], Loss: 0.5928
Epoch [6/100], Step[516/526], Loss: 0.7299
Epoch [6/100], Step[517/526], Loss: 0.6849
Epoch [6/100], Step[518/526], Loss: 0.7126
Epoch [6/100], Step[519/526], Loss: 0.7122
Epoch [6/100], Step[520/526], Loss: 0.6869
Epoch [6/100], Step[521/526], Loss: 0.6475
Epoch [6/100], Step[522/526], Loss: 0.6632
Epoch [6/100], Step[523/526], Loss: 0.6735
Epoch [6/100], Step[524/526], Loss: 0.6718
Epoch [6/100], Step[525/526], Loss: 0.7308
Epoch [6/100], Step[526/526], Loss: 0.6745
Epoch [7/100], Step[1/526], Loss: 0.6592
Epoch [7/100], Step[2/526], Loss: 0.6569
Epoch [7/100], Step[3/526], Loss: 0.6745
Epoch [7/100], Step[4/526], Loss: 0.6437
Epoch [7/100], Step[5/526], Loss: 0.7190
Epoch [7/100], Step[6/526], Loss: 0.7264
Epoch [7/100], Step[7/526], Loss: 0.6955
Epoch [7/100], Step[8/526], Loss: 0.6981
Epoch [7/100], Step[9/526], Loss: 0.7112
Epoch [7/100], Step[10/526], Loss: 0.6867
Epoch [7/100], Step[11/526], Loss: 0.6683
Epoch [7/100], Step[12/526], Loss: 0.7080
Epoch [7/100], Step[13/526], Loss: 0.6516
Epoch [7/100], Step[14/526], Loss: 0.6802
Epoch [7/100], Step[15/526], Loss: 0.6878
Epoch [7/100], Step[16/526], Loss: 0.6941
Epoch [7/100], Step[17/526], Loss: 0.6859
Epoch [7/100], Step[18/526], Loss: 0.7093
Epoch [7/100], Step[19/526], Loss: 0.6764
Epoch [7/100], Step[20/526], Loss: 0.7140
Epoch [7/100], Step[21/526], Loss: 0.7380
Epoch [7/100], Step[22/526], Loss: 0.7042
Epoch [7/100], Step[23/526], Loss: 0.7296
Epoch [7/100], Step[24/526], Loss: 0.7242
Epoch [7/100], Step[25/526], Loss: 0.6930
Epoch [7/100], Step[26/526], Loss: 0.6635
Epoch [7/100], Step[27/526], Loss: 0.7067
Epoch [7/100], Step[28/526], Loss: 0.7004
Epoch [7/100], Step[29/526], Loss: 0.6635
Epoch [7/100], Step[30/526], Loss: 0.6777
Epoch [7/100], Step[31/526], Loss: 0.7014
Epoch [7/100], Step[32/526], Loss: 0.6855
Epoch [7/100], Step[33/526], Loss: 0.7082
Epoch [7/100], Step[34/526], Loss: 0.6821
Epoch [7/100], Step[35/526], Loss: 0.7039
Epoch [7/100], Step[36/526], Loss: 0.6880
Epoch [7/100], Step[37/526], Loss: 0.7002
Epoch [7/100], Step[38/526], Loss: 0.6830
Epoch [7/100], Step[39/526], Loss: 0.7228
Epoch [7/100], Step[40/526], Loss: 0.7236
Epoch [7/100], Step[41/526], Loss: 0.6590
Epoch [7/100], Step[42/526], Loss: 0.7096
Epoch [7/100], Step[43/526], Loss: 0.7065
Epoch [7/100], Step[44/526], Loss: 0.6732
Epoch [7/100], Step[45/526], Loss: 0.6809
Epoch [7/100], Step[46/526], Loss: 0.6783
Epoch [7/100], Step[47/526], Loss: 0.7095
Epoch [7/100], Step[48/526], Loss: 0.7152
Epoch [7/100], Step[49/526], Loss: 0.6985
Epoch [7/100], Step[50/526], Loss: 0.7115
Epoch [7/100], Step[51/526], Loss: 0.6898
Epoch [7/100], Step[52/526], Loss: 0.6982
Epoch [7/100], Step[53/526], Loss: 0.7113
Epoch [7/100], Step[54/526], Loss: 0.6972
Epoch [7/100], Step[55/526], Loss: 0.6950
Epoch [7/100], Step[56/526], Loss: 0.6968
Epoch [7/100], Step[57/526], Loss: 0.6889
Epoch [7/100], Step[58/526], Loss: 0.6807
Epoch [7/100], Step[59/526], Loss: 0.6824
Epoch [7/100], Step[60/526], Loss: 0.6708
Epoch [7/100], Step[61/526], Loss: 0.6642
Epoch [7/100], Step[62/526], Loss: 0.7064
Epoch [7/100], Step[63/526], Loss: 0.6898
Epoch [7/100], Step[64/526], Loss: 0.6838
Epoch [7/100], Step[65/526], Loss: 0.7021
Epoch [7/100], Step[66/526], Loss: 0.6777
Epoch [7/100], Step[67/526], Loss: 0.6638
Epoch [7/100], Step[68/526], Loss: 0.6600
Epoch [7/100], Step[69/526], Loss: 0.6984
Epoch [7/100], Step[70/526], Loss: 0.6856
Epoch [7/100], Step[71/526], Loss: 0.6730
Epoch [7/100], Step[72/526], Loss: 0.6755
Epoch [7/100], Step[73/526], Loss: 0.7004
Epoch [7/100], Step[74/526], Loss: 0.6727
Epoch [7/100], Step[75/526], Loss: 0.7076
Epoch [7/100], Step[76/526], Loss: 0.6974
Epoch [7/100], Step[77/526], Loss: 0.6813
Epoch [7/100], Step[78/526], Loss: 0.7035
Epoch [7/100], Step[79/526], Loss: 0.6980
Epoch [7/100], Step[80/526], Loss: 0.6983
Epoch [7/100], Step[81/526], Loss: 0.6958
Epoch [7/100], Step[82/526], Loss: 0.7327
Epoch [7/100], Step[83/526], Loss: 0.7141
Epoch [7/100], Step[84/526], Loss: 0.6948
Epoch [7/100], Step[85/526], Loss: 0.6714
Epoch [7/100], Step[86/526], Loss: 0.7001
Epoch [7/100], Step[87/526], Loss: 0.6876
Epoch [7/100], Step[88/526], Loss: 0.6779
Epoch [7/100], Step[89/526], Loss: 0.7098
Epoch [7/100], Step[90/526], Loss: 0.6932
Epoch [7/100], Step[91/526], Loss: 0.6746
Epoch [7/100], Step[92/526], Loss: 0.6833
Epoch [7/100], Step[93/526], Loss: 0.6828
Epoch [7/100], Step[94/526], Loss: 0.7777
Epoch [7/100], Step[95/526], Loss: 0.7091
Epoch [7/100], Step[96/526], Loss: 0.6503
Epoch [7/100], Step[97/526], Loss: 0.6402
Epoch [7/100], Step[98/526], Loss: 0.7005
Epoch [7/100], Step[99/526], Loss: 0.6786
Epoch [7/100], Step[100/526], Loss: 0.6882
Epoch [7/100], Step[101/526], Loss: 0.6621
Epoch [7/100], Step[102/526], Loss: 0.6404
Epoch [7/100], Step[103/526], Loss: 0.6353
Epoch [7/100], Step[104/526], Loss: 0.6455
Epoch [7/100], Step[105/526], Loss: 0.6623
Epoch [7/100], Step[106/526], Loss: 0.6676
Epoch [7/100], Step[107/526], Loss: 0.6457
Epoch [7/100], Step[108/526], Loss: 0.6062
Epoch [7/100], Step[109/526], Loss: 0.6780
Epoch [7/100], Step[110/526], Loss: 0.6865
Epoch [7/100], Step[111/526], Loss: 0.6176
Epoch [7/100], Step[112/526], Loss: 0.7044
Epoch [7/100], Step[113/526], Loss: 0.6260
Epoch [7/100], Step[114/526], Loss: 0.6704
Epoch [7/100], Step[115/526], Loss: 0.6320
Epoch [7/100], Step[116/526], Loss: 0.6023
Epoch [7/100], Step[117/526], Loss: 0.6023
Epoch [7/100], Step[118/526], Loss: 0.7327
Epoch [7/100], Step[119/526], Loss: 0.6716
Epoch [7/100], Step[120/526], Loss: 0.6519
Epoch [7/100], Step[121/526], Loss: 0.6784
Epoch [7/100], Step[122/526], Loss: 0.6479
Epoch [7/100], Step[123/526], Loss: 0.6637
Epoch [7/100], Step[124/526], Loss: 0.6712
Epoch [7/100], Step[125/526], Loss: 0.6353
Epoch [7/100], Step[126/526], Loss: 0.6938
Epoch [7/100], Step[127/526], Loss: 0.6717
Epoch [7/100], Step[128/526], Loss: 0.6278
Epoch [7/100], Step[129/526], Loss: 0.5698
Epoch [7/100], Step[130/526], Loss: 0.5941
Epoch [7/100], Step[131/526], Loss: 0.6776
Epoch [7/100], Step[132/526], Loss: 0.7154
Epoch [7/100], Step[133/526], Loss: 0.6661
Epoch [7/100], Step[134/526], Loss: 0.6259
Epoch [7/100], Step[135/526], Loss: 0.6255
Epoch [7/100], Step[136/526], Loss: 0.5411
Epoch [7/100], Step[137/526], Loss: 0.5625
Epoch [7/100], Step[138/526], Loss: 0.6218
Epoch [7/100], Step[139/526], Loss: 0.7195
Epoch [7/100], Step[140/526], Loss: 0.5516
Epoch [7/100], Step[141/526], Loss: 0.6565
Epoch [7/100], Step[142/526], Loss: 0.6682
Epoch [7/100], Step[143/526], Loss: 0.6972
Epoch [7/100], Step[144/526], Loss: 0.8563
Epoch [7/100], Step[145/526], Loss: 0.6045
Epoch [7/100], Step[146/526], Loss: 0.5015
Epoch [7/100], Step[147/526], Loss: 0.4857
Epoch [7/100], Step[148/526], Loss: 0.5882
Epoch [7/100], Step[149/526], Loss: 0.5325
Epoch [7/100], Step[150/526], Loss: 0.6304
Epoch [7/100], Step[151/526], Loss: 0.5592
Epoch [7/100], Step[152/526], Loss: 0.6589
Epoch [7/100], Step[153/526], Loss: 0.6247
Epoch [7/100], Step[154/526], Loss: 0.7437
Epoch [7/100], Step[155/526], Loss: 0.6971
Epoch [7/100], Step[156/526], Loss: 0.5124
Epoch [7/100], Step[157/526], Loss: 0.2794
Epoch [7/100], Step[158/526], Loss: 0.5684
Epoch [7/100], Step[159/526], Loss: 0.6243
Epoch [7/100], Step[160/526], Loss: 0.5826
Epoch [7/100], Step[161/526], Loss: 1.5422
Epoch [7/100], Step[162/526], Loss: 0.7053
Epoch [7/100], Step[163/526], Loss: 0.7829
Epoch [7/100], Step[164/526], Loss: 0.6493
Epoch [7/100], Step[165/526], Loss: 0.7547
Epoch [7/100], Step[166/526], Loss: 0.4731
Epoch [7/100], Step[167/526], Loss: 0.5242
Epoch [7/100], Step[168/526], Loss: 0.7389
Epoch [7/100], Step[169/526], Loss: 0.8235
Epoch [7/100], Step[170/526], Loss: 0.7374
Epoch [7/100], Step[171/526], Loss: 0.6934
Epoch [7/100], Step[172/526], Loss: 0.7417
Epoch [7/100], Step[173/526], Loss: 0.8127
Epoch [7/100], Step[174/526], Loss: 0.6284
Epoch [7/100], Step[175/526], Loss: 0.6530
Epoch [7/100], Step[176/526], Loss: 0.6528
Epoch [7/100], Step[177/526], Loss: 0.6656
Epoch [7/100], Step[178/526], Loss: 0.7062
Epoch [7/100], Step[179/526], Loss: 0.6574
Epoch [7/100], Step[180/526], Loss: 0.6705
Epoch [7/100], Step[181/526], Loss: 0.6457
Epoch [7/100], Step[182/526], Loss: 0.6951
Epoch [7/100], Step[183/526], Loss: 0.5384
Epoch [7/100], Step[184/526], Loss: 0.6060
Epoch [7/100], Step[185/526], Loss: 0.5791
Epoch [7/100], Step[186/526], Loss: 0.6642
Epoch [7/100], Step[187/526], Loss: 0.7210
Epoch [7/100], Step[188/526], Loss: 0.7224
Epoch [7/100], Step[189/526], Loss: 0.6830
Epoch [7/100], Step[190/526], Loss: 0.6058
Epoch [7/100], Step[191/526], Loss: 0.7377
Epoch [7/100], Step[192/526], Loss: 0.7611
Epoch [7/100], Step[193/526], Loss: 0.6714
Epoch [7/100], Step[194/526], Loss: 0.6488
Epoch [7/100], Step[195/526], Loss: 0.6580
Epoch [7/100], Step[196/526], Loss: 0.7082
Epoch [7/100], Step[197/526], Loss: 0.6946
Epoch [7/100], Step[198/526], Loss: 0.6216
Epoch [7/100], Step[199/526], Loss: 0.6978
Epoch [7/100], Step[200/526], Loss: 0.6440
Epoch [7/100], Step[201/526], Loss: 0.6971
Epoch [7/100], Step[202/526], Loss: 0.7932
Epoch [7/100], Step[203/526], Loss: 0.6714
Epoch [7/100], Step[204/526], Loss: 0.7730
Epoch [7/100], Step[205/526], Loss: 0.7327
Epoch [7/100], Step[206/526], Loss: 0.6767
Epoch [7/100], Step[207/526], Loss: 0.7178
Epoch [7/100], Step[208/526], Loss: 0.6892
Epoch [7/100], Step[209/526], Loss: 0.6986
Epoch [7/100], Step[210/526], Loss: 0.7175
Epoch [7/100], Step[211/526], Loss: 0.6254
Epoch [7/100], Step[212/526], Loss: 0.6925
Epoch [7/100], Step[213/526], Loss: 0.7198
Epoch [7/100], Step[214/526], Loss: 0.7146
Epoch [7/100], Step[215/526], Loss: 0.7148
Epoch [7/100], Step[216/526], Loss: 0.6930
Epoch [7/100], Step[217/526], Loss: 0.6926
Epoch [7/100], Step[218/526], Loss: 0.6881
Epoch [7/100], Step[219/526], Loss: 0.6957
Epoch [7/100], Step[220/526], Loss: 0.6702
Epoch [7/100], Step[221/526], Loss: 0.7217
Epoch [7/100], Step[222/526], Loss: 0.6386
Epoch [7/100], Step[223/526], Loss: 0.6912
Epoch [7/100], Step[224/526], Loss: 0.6957
Epoch [7/100], Step[225/526], Loss: 0.6543
Epoch [7/100], Step[226/526], Loss: 0.6693
Epoch [7/100], Step[227/526], Loss: 0.6776
Epoch [7/100], Step[228/526], Loss: 0.6901
Epoch [7/100], Step[229/526], Loss: 0.7039
Epoch [7/100], Step[230/526], Loss: 0.6685
Epoch [7/100], Step[231/526], Loss: 0.6897
Epoch [7/100], Step[232/526], Loss: 0.7294
Epoch [7/100], Step[233/526], Loss: 0.6900
Epoch [7/100], Step[234/526], Loss: 0.6901
Epoch [7/100], Step[235/526], Loss: 0.6870
Epoch [7/100], Step[236/526], Loss: 0.6847
Epoch [7/100], Step[237/526], Loss: 0.7202
Epoch [7/100], Step[238/526], Loss: 0.6919
Epoch [7/100], Step[239/526], Loss: 0.6752
Epoch [7/100], Step[240/526], Loss: 0.7059
Epoch [7/100], Step[241/526], Loss: 0.6856
Epoch [7/100], Step[242/526], Loss: 0.6967
Epoch [7/100], Step[243/526], Loss: 0.6677
Epoch [7/100], Step[244/526], Loss: 0.6472
Epoch [7/100], Step[245/526], Loss: 0.6557
Epoch [7/100], Step[246/526], Loss: 0.6790
Epoch [7/100], Step[247/526], Loss: 0.6421
Epoch [7/100], Step[248/526], Loss: 0.6610
Epoch [7/100], Step[249/526], Loss: 0.6659
Epoch [7/100], Step[250/526], Loss: 0.6848
Epoch [7/100], Step[251/526], Loss: 0.6902
Epoch [7/100], Step[252/526], Loss: 0.6979
Epoch [7/100], Step[253/526], Loss: 0.6480
Epoch [7/100], Step[254/526], Loss: 0.6814
Epoch [7/100], Step[255/526], Loss: 0.6312
Epoch [7/100], Step[256/526], Loss: 0.6831
Epoch [7/100], Step[257/526], Loss: 0.6502
Epoch [7/100], Step[258/526], Loss: 0.6510
Epoch [7/100], Step[259/526], Loss: 0.6887
Epoch [7/100], Step[260/526], Loss: 0.7129
Epoch [7/100], Step[261/526], Loss: 0.7266
Epoch [7/100], Step[262/526], Loss: 0.6637
Epoch [7/100], Step[263/526], Loss: 0.6705
Epoch [7/100], Step[264/526], Loss: 0.6500
Epoch [7/100], Step[265/526], Loss: 0.6005
Epoch [7/100], Step[266/526], Loss: 0.5696
Epoch [7/100], Step[267/526], Loss: 0.5247
Epoch [7/100], Step[268/526], Loss: 0.5932
Epoch [7/100], Step[269/526], Loss: 0.5144
Epoch [7/100], Step[270/526], Loss: 0.4683
Epoch [7/100], Step[271/526], Loss: 0.5479
Epoch [7/100], Step[272/526], Loss: 0.5472
Epoch [7/100], Step[273/526], Loss: 0.6124
Epoch [7/100], Step[274/526], Loss: 0.5085
Epoch [7/100], Step[275/526], Loss: 0.4792
Epoch [7/100], Step[276/526], Loss: 0.5089
Epoch [7/100], Step[277/526], Loss: 0.4596
Epoch [7/100], Step[278/526], Loss: 0.4784
Epoch [7/100], Step[279/526], Loss: 0.4312
Epoch [7/100], Step[280/526], Loss: 0.4880
Epoch [7/100], Step[281/526], Loss: 0.6035
Epoch [7/100], Step[282/526], Loss: 0.4032
Epoch [7/100], Step[283/526], Loss: 0.3770
Epoch [7/100], Step[284/526], Loss: 0.4133
Epoch [7/100], Step[285/526], Loss: 0.3241
Epoch [7/100], Step[286/526], Loss: 0.6615
Epoch [7/100], Step[287/526], Loss: 0.5273
Epoch [7/100], Step[288/526], Loss: 0.4489
Epoch [7/100], Step[289/526], Loss: 0.5899
Epoch [7/100], Step[290/526], Loss: 0.4462
Epoch [7/100], Step[291/526], Loss: 0.5081
Epoch [7/100], Step[292/526], Loss: 0.3073
Epoch [7/100], Step[293/526], Loss: 0.3286
Epoch [7/100], Step[294/526], Loss: 0.3621
Epoch [7/100], Step[295/526], Loss: 0.4157
Epoch [7/100], Step[296/526], Loss: 0.6164
Epoch [7/100], Step[297/526], Loss: 0.2864
Epoch [7/100], Step[298/526], Loss: 0.3620
Epoch [7/100], Step[299/526], Loss: 0.2977
Epoch [7/100], Step[300/526], Loss: 0.3355
Epoch [7/100], Step[301/526], Loss: 0.5988
Epoch [7/100], Step[302/526], Loss: 0.3362
Epoch [7/100], Step[303/526], Loss: 0.4882
Epoch [7/100], Step[304/526], Loss: 0.2647
Epoch [7/100], Step[305/526], Loss: 0.3374
Epoch [7/100], Step[306/526], Loss: 0.5936
Epoch [7/100], Step[307/526], Loss: 0.8687
Epoch [7/100], Step[308/526], Loss: 1.2124
Epoch [7/100], Step[309/526], Loss: 0.9860
Epoch [7/100], Step[310/526], Loss: 0.9435
Epoch [7/100], Step[311/526], Loss: 0.8211
Epoch [7/100], Step[312/526], Loss: 0.5294
Epoch [7/100], Step[313/526], Loss: 0.5026
Epoch [7/100], Step[314/526], Loss: 0.6143
Epoch [7/100], Step[315/526], Loss: 0.7160
Epoch [7/100], Step[316/526], Loss: 0.5287
Epoch [7/100], Step[317/526], Loss: 0.2955
Epoch [7/100], Step[318/526], Loss: 0.6989
Epoch [7/100], Step[319/526], Loss: 0.3929
Epoch [7/100], Step[320/526], Loss: 0.5798
Epoch [7/100], Step[321/526], Loss: 0.8351
Epoch [7/100], Step[322/526], Loss: 0.3047
Epoch [7/100], Step[323/526], Loss: 0.5969
Epoch [7/100], Step[324/526], Loss: 0.6964
Epoch [7/100], Step[325/526], Loss: 0.6011
Epoch [7/100], Step[326/526], Loss: 0.8197
Epoch [7/100], Step[327/526], Loss: 0.7998
Epoch [7/100], Step[328/526], Loss: 0.8484
Epoch [7/100], Step[329/526], Loss: 1.1175
Epoch [7/100], Step[330/526], Loss: 0.8562
Epoch [7/100], Step[331/526], Loss: 0.8712
Epoch [7/100], Step[332/526], Loss: 0.9138
Epoch [7/100], Step[333/526], Loss: 0.7720
Epoch [7/100], Step[334/526], Loss: 0.8051
Epoch [7/100], Step[335/526], Loss: 0.8480
Epoch [7/100], Step[336/526], Loss: 0.6749
Epoch [7/100], Step[337/526], Loss: 0.6304
Epoch [7/100], Step[338/526], Loss: 0.6967
Epoch [7/100], Step[339/526], Loss: 0.6567
Epoch [7/100], Step[340/526], Loss: 0.7284
Epoch [7/100], Step[341/526], Loss: 0.7631
Epoch [7/100], Step[342/526], Loss: 0.7741
Epoch [7/100], Step[343/526], Loss: 0.5973
Epoch [7/100], Step[344/526], Loss: 0.7201
Epoch [7/100], Step[345/526], Loss: 0.6881
Epoch [7/100], Step[346/526], Loss: 0.6880
Epoch [7/100], Step[347/526], Loss: 0.6974
Epoch [7/100], Step[348/526], Loss: 0.6588
Epoch [7/100], Step[349/526], Loss: 0.6291
Epoch [7/100], Step[350/526], Loss: 0.6835
Epoch [7/100], Step[351/526], Loss: 0.7107
Epoch [7/100], Step[352/526], Loss: 0.6307
Epoch [7/100], Step[353/526], Loss: 0.7053
Epoch [7/100], Step[354/526], Loss: 0.6726
Epoch [7/100], Step[355/526], Loss: 0.6874
Epoch [7/100], Step[356/526], Loss: 0.7121
Epoch [7/100], Step[357/526], Loss: 0.6763
Epoch [7/100], Step[358/526], Loss: 0.7034
Epoch [7/100], Step[359/526], Loss: 0.6885
Epoch [7/100], Step[360/526], Loss: 0.6805
Epoch [7/100], Step[361/526], Loss: 0.7771
Epoch [7/100], Step[362/526], Loss: 0.7582
Epoch [7/100], Step[363/526], Loss: 0.6807
Epoch [7/100], Step[364/526], Loss: 0.7244
Epoch [7/100], Step[365/526], Loss: 0.7285
Epoch [7/100], Step[366/526], Loss: 0.6878
Epoch [7/100], Step[367/526], Loss: 0.6885
Epoch [7/100], Step[368/526], Loss: 0.6579
Epoch [7/100], Step[369/526], Loss: 0.6642
Epoch [7/100], Step[370/526], Loss: 0.5920
Epoch [7/100], Step[371/526], Loss: 0.7479
Epoch [7/100], Step[372/526], Loss: 0.6571
Epoch [7/100], Step[373/526], Loss: 0.6879
Epoch [7/100], Step[374/526], Loss: 0.6936
Epoch [7/100], Step[375/526], Loss: 0.6783
Epoch [7/100], Step[376/526], Loss: 0.6801
Epoch [7/100], Step[377/526], Loss: 0.6933
Epoch [7/100], Step[378/526], Loss: 0.7111
Epoch [7/100], Step[379/526], Loss: 0.7142
Epoch [7/100], Step[380/526], Loss: 0.6310
Epoch [7/100], Step[381/526], Loss: 0.6337
Epoch [7/100], Step[382/526], Loss: 0.6793
Epoch [7/100], Step[383/526], Loss: 0.6753
Epoch [7/100], Step[384/526], Loss: 0.6527
Epoch [7/100], Step[385/526], Loss: 0.6591
Epoch [7/100], Step[386/526], Loss: 0.6800
Epoch [7/100], Step[387/526], Loss: 0.6720
Epoch [7/100], Step[388/526], Loss: 0.6317
Epoch [7/100], Step[389/526], Loss: 0.7046
Epoch [7/100], Step[390/526], Loss: 0.6467
Epoch [7/100], Step[391/526], Loss: 0.6640
Epoch [7/100], Step[392/526], Loss: 0.6936
Epoch [7/100], Step[393/526], Loss: 0.6232
Epoch [7/100], Step[394/526], Loss: 0.5792
Epoch [7/100], Step[395/526], Loss: 0.6803
Epoch [7/100], Step[396/526], Loss: 0.6488
Epoch [7/100], Step[397/526], Loss: 0.5432
Epoch [7/100], Step[398/526], Loss: 0.6378
Epoch [7/100], Step[399/526], Loss: 0.6607
Epoch [7/100], Step[400/526], Loss: 0.5463
Epoch [7/100], Step[401/526], Loss: 0.5936
Epoch [7/100], Step[402/526], Loss: 0.6611
Epoch [7/100], Step[403/526], Loss: 0.6833
Epoch [7/100], Step[404/526], Loss: 0.5226
Epoch [7/100], Step[405/526], Loss: 0.5510
Epoch [7/100], Step[406/526], Loss: 0.6681
Epoch [7/100], Step[407/526], Loss: 0.7467
Epoch [7/100], Step[408/526], Loss: 0.6660
Epoch [7/100], Step[409/526], Loss: 0.4948
Epoch [7/100], Step[410/526], Loss: 0.5018
Epoch [7/100], Step[411/526], Loss: 0.5491
Epoch [7/100], Step[412/526], Loss: 0.5908
Epoch [7/100], Step[413/526], Loss: 0.6147
Epoch [7/100], Step[414/526], Loss: 0.6471
Epoch [7/100], Step[415/526], Loss: 0.6198
Epoch [7/100], Step[416/526], Loss: 0.5336
Epoch [7/100], Step[417/526], Loss: 0.4879
Epoch [7/100], Step[418/526], Loss: 0.7457
Epoch [7/100], Step[419/526], Loss: 0.7159
Epoch [7/100], Step[420/526], Loss: 0.6829
Epoch [7/100], Step[421/526], Loss: 0.6257
Epoch [7/100], Step[422/526], Loss: 0.7896
Epoch [7/100], Step[423/526], Loss: 0.7148
Epoch [7/100], Step[424/526], Loss: 0.7278
Epoch [7/100], Step[425/526], Loss: 0.6944
Epoch [7/100], Step[426/526], Loss: 0.7708
Epoch [7/100], Step[427/526], Loss: 0.6525
Epoch [7/100], Step[428/526], Loss: 0.7048
Epoch [7/100], Step[429/526], Loss: 0.7223
Epoch [7/100], Step[430/526], Loss: 0.8297
Epoch [7/100], Step[431/526], Loss: 0.7366
Epoch [7/100], Step[432/526], Loss: 0.7719
Epoch [7/100], Step[433/526], Loss: 0.7153
Epoch [7/100], Step[434/526], Loss: 0.6183
Epoch [7/100], Step[435/526], Loss: 0.7630
Epoch [7/100], Step[436/526], Loss: 0.7835
Epoch [7/100], Step[437/526], Loss: 0.5626
Epoch [7/100], Step[438/526], Loss: 0.3825
Epoch [7/100], Step[439/526], Loss: 0.7582
Epoch [7/100], Step[440/526], Loss: 0.6982
Epoch [7/100], Step[441/526], Loss: 0.6980
Epoch [7/100], Step[442/526], Loss: 0.6419
Epoch [7/100], Step[443/526], Loss: 0.6713
Epoch [7/100], Step[444/526], Loss: 0.7539
Epoch [7/100], Step[445/526], Loss: 0.6926
Epoch [7/100], Step[446/526], Loss: 0.7287
Epoch [7/100], Step[447/526], Loss: 0.7127
Epoch [7/100], Step[448/526], Loss: 0.8407
Epoch [7/100], Step[449/526], Loss: 0.7402
Epoch [7/100], Step[450/526], Loss: 0.6092
Epoch [7/100], Step[451/526], Loss: 0.6172
Epoch [7/100], Step[452/526], Loss: 0.7294
Epoch [7/100], Step[453/526], Loss: 0.7477
Epoch [7/100], Step[454/526], Loss: 0.8200
Epoch [7/100], Step[455/526], Loss: 0.6694
Epoch [7/100], Step[456/526], Loss: 0.6415
Epoch [7/100], Step[457/526], Loss: 0.6814
Epoch [7/100], Step[458/526], Loss: 0.6677
Epoch [7/100], Step[459/526], Loss: 0.6816
Epoch [7/100], Step[460/526], Loss: 0.6731
Epoch [7/100], Step[461/526], Loss: 0.6507
Epoch [7/100], Step[462/526], Loss: 0.6791
Epoch [7/100], Step[463/526], Loss: 0.6467
Epoch [7/100], Step[464/526], Loss: 0.6707
Epoch [7/100], Step[465/526], Loss: 0.6690
Epoch [7/100], Step[466/526], Loss: 0.6671
Epoch [7/100], Step[467/526], Loss: 0.6502
Epoch [7/100], Step[468/526], Loss: 0.6459
Epoch [7/100], Step[469/526], Loss: 0.7805
Epoch [7/100], Step[470/526], Loss: 0.6542
Epoch [7/100], Step[471/526], Loss: 0.7136
Epoch [7/100], Step[472/526], Loss: 0.6661
Epoch [7/100], Step[473/526], Loss: 0.6859
Epoch [7/100], Step[474/526], Loss: 0.6761
Epoch [7/100], Step[475/526], Loss: 0.7705
Epoch [7/100], Step[476/526], Loss: 0.7520
Epoch [7/100], Step[477/526], Loss: 0.6896
Epoch [7/100], Step[478/526], Loss: 0.6943
Epoch [7/100], Step[479/526], Loss: 0.6771
Epoch [7/100], Step[480/526], Loss: 0.7321
Epoch [7/100], Step[481/526], Loss: 0.6976
Epoch [7/100], Step[482/526], Loss: 0.6622
Epoch [7/100], Step[483/526], Loss: 0.5682
Epoch [7/100], Step[484/526], Loss: 0.6761
Epoch [7/100], Step[485/526], Loss: 0.7665
Epoch [7/100], Step[486/526], Loss: 0.7028
Epoch [7/100], Step[487/526], Loss: 0.7256
Epoch [7/100], Step[488/526], Loss: 0.6820
Epoch [7/100], Step[489/526], Loss: 0.6581
Epoch [7/100], Step[490/526], Loss: 0.6317
Epoch [7/100], Step[491/526], Loss: 0.6887
Epoch [7/100], Step[492/526], Loss: 0.6679
Epoch [7/100], Step[493/526], Loss: 0.6722
Epoch [7/100], Step[494/526], Loss: 0.6614
Epoch [7/100], Step[495/526], Loss: 0.6973
Epoch [7/100], Step[496/526], Loss: 0.6681
Epoch [7/100], Step[497/526], Loss: 0.6546
Epoch [7/100], Step[498/526], Loss: 0.7007
Epoch [7/100], Step[499/526], Loss: 0.6815
Epoch [7/100], Step[500/526], Loss: 0.6847
Epoch [7/100], Step[501/526], Loss: 0.6685
Epoch [7/100], Step[502/526], Loss: 0.6921
Epoch [7/100], Step[503/526], Loss: 0.6967
Epoch [7/100], Step[504/526], Loss: 0.6882
Epoch [7/100], Step[505/526], Loss: 0.7114
Epoch [7/100], Step[506/526], Loss: 0.7005
Epoch [7/100], Step[507/526], Loss: 0.6844
Epoch [7/100], Step[508/526], Loss: 0.7129
Epoch [7/100], Step[509/526], Loss: 0.6794
Epoch [7/100], Step[510/526], Loss: 0.7068
Epoch [7/100], Step[511/526], Loss: 0.6457
Epoch [7/100], Step[512/526], Loss: 0.6653
Epoch [7/100], Step[513/526], Loss: 0.6589
Epoch [7/100], Step[514/526], Loss: 0.6390
Epoch [7/100], Step[515/526], Loss: 0.5876
Epoch [7/100], Step[516/526], Loss: 0.7459
Epoch [7/100], Step[517/526], Loss: 0.6833
Epoch [7/100], Step[518/526], Loss: 0.7135
Epoch [7/100], Step[519/526], Loss: 0.7101
Epoch [7/100], Step[520/526], Loss: 0.6853
Epoch [7/100], Step[521/526], Loss: 0.6451
Epoch [7/100], Step[522/526], Loss: 0.6574
Epoch [7/100], Step[523/526], Loss: 0.6756
Epoch [7/100], Step[524/526], Loss: 0.6696
Epoch [7/100], Step[525/526], Loss: 0.7367
Epoch [7/100], Step[526/526], Loss: 0.6847
Epoch [8/100], Step[1/526], Loss: 0.6584
Epoch [8/100], Step[2/526], Loss: 0.6496
Epoch [8/100], Step[3/526], Loss: 0.6764
Epoch [8/100], Step[4/526], Loss: 0.6416
Epoch [8/100], Step[5/526], Loss: 0.7170
Epoch [8/100], Step[6/526], Loss: 0.7270
Epoch [8/100], Step[7/526], Loss: 0.6993
Epoch [8/100], Step[8/526], Loss: 0.6972
Epoch [8/100], Step[9/526], Loss: 0.7158
Epoch [8/100], Step[10/526], Loss: 0.6904
Epoch [8/100], Step[11/526], Loss: 0.6654
Epoch [8/100], Step[12/526], Loss: 0.7071
Epoch [8/100], Step[13/526], Loss: 0.6491
Epoch [8/100], Step[14/526], Loss: 0.6779
Epoch [8/100], Step[15/526], Loss: 0.6862
Epoch [8/100], Step[16/526], Loss: 0.6934
Epoch [8/100], Step[17/526], Loss: 0.6875
Epoch [8/100], Step[18/526], Loss: 0.7045
Epoch [8/100], Step[19/526], Loss: 0.6773
Epoch [8/100], Step[20/526], Loss: 0.7144
Epoch [8/100], Step[21/526], Loss: 0.7310
Epoch [8/100], Step[22/526], Loss: 0.7064
Epoch [8/100], Step[23/526], Loss: 0.7243
Epoch [8/100], Step[24/526], Loss: 0.7199
Epoch [8/100], Step[25/526], Loss: 0.6902
Epoch [8/100], Step[26/526], Loss: 0.6592
Epoch [8/100], Step[27/526], Loss: 0.7060
Epoch [8/100], Step[28/526], Loss: 0.6984
Epoch [8/100], Step[29/526], Loss: 0.6596
Epoch [8/100], Step[30/526], Loss: 0.6782
Epoch [8/100], Step[31/526], Loss: 0.7023
Epoch [8/100], Step[32/526], Loss: 0.6815
Epoch [8/100], Step[33/526], Loss: 0.7080
Epoch [8/100], Step[34/526], Loss: 0.6842
Epoch [8/100], Step[35/526], Loss: 0.7084
Epoch [8/100], Step[36/526], Loss: 0.6953
Epoch [8/100], Step[37/526], Loss: 0.6968
Epoch [8/100], Step[38/526], Loss: 0.6811
Epoch [8/100], Step[39/526], Loss: 0.7183
Epoch [8/100], Step[40/526], Loss: 0.7192
Epoch [8/100], Step[41/526], Loss: 0.6590
Epoch [8/100], Step[42/526], Loss: 0.7104
Epoch [8/100], Step[43/526], Loss: 0.7084
Epoch [8/100], Step[44/526], Loss: 0.6740
Epoch [8/100], Step[45/526], Loss: 0.6802
Epoch [8/100], Step[46/526], Loss: 0.6743
Epoch [8/100], Step[47/526], Loss: 0.7088
Epoch [8/100], Step[48/526], Loss: 0.7128
Epoch [8/100], Step[49/526], Loss: 0.6957
Epoch [8/100], Step[50/526], Loss: 0.7118
Epoch [8/100], Step[51/526], Loss: 0.6896
Epoch [8/100], Step[52/526], Loss: 0.6992
Epoch [8/100], Step[53/526], Loss: 0.7132
Epoch [8/100], Step[54/526], Loss: 0.6963
Epoch [8/100], Step[55/526], Loss: 0.6930
Epoch [8/100], Step[56/526], Loss: 0.6974
Epoch [8/100], Step[57/526], Loss: 0.6904
Epoch [8/100], Step[58/526], Loss: 0.6795
Epoch [8/100], Step[59/526], Loss: 0.6842
Epoch [8/100], Step[60/526], Loss: 0.6705
Epoch [8/100], Step[61/526], Loss: 0.6598
Epoch [8/100], Step[62/526], Loss: 0.7038
Epoch [8/100], Step[63/526], Loss: 0.6879
Epoch [8/100], Step[64/526], Loss: 0.6824
Epoch [8/100], Step[65/526], Loss: 0.7000
Epoch [8/100], Step[66/526], Loss: 0.6776
Epoch [8/100], Step[67/526], Loss: 0.6636
Epoch [8/100], Step[68/526], Loss: 0.6588
Epoch [8/100], Step[69/526], Loss: 0.6982
Epoch [8/100], Step[70/526], Loss: 0.6851
Epoch [8/100], Step[71/526], Loss: 0.6709
Epoch [8/100], Step[72/526], Loss: 0.6752
Epoch [8/100], Step[73/526], Loss: 0.6993
Epoch [8/100], Step[74/526], Loss: 0.6734
Epoch [8/100], Step[75/526], Loss: 0.7121
Epoch [8/100], Step[76/526], Loss: 0.6993
Epoch [8/100], Step[77/526], Loss: 0.6807
Epoch [8/100], Step[78/526], Loss: 0.7042
Epoch [8/100], Step[79/526], Loss: 0.6992
Epoch [8/100], Step[80/526], Loss: 0.6979
Epoch [8/100], Step[81/526], Loss: 0.6973
Epoch [8/100], Step[82/526], Loss: 0.7336
Epoch [8/100], Step[83/526], Loss: 0.7180
Epoch [8/100], Step[84/526], Loss: 0.6957
Epoch [8/100], Step[85/526], Loss: 0.6712
Epoch [8/100], Step[86/526], Loss: 0.6996
Epoch [8/100], Step[87/526], Loss: 0.6879
Epoch [8/100], Step[88/526], Loss: 0.6788
Epoch [8/100], Step[89/526], Loss: 0.7105
Epoch [8/100], Step[90/526], Loss: 0.6932
Epoch [8/100], Step[91/526], Loss: 0.6750
Epoch [8/100], Step[92/526], Loss: 0.6836
Epoch [8/100], Step[93/526], Loss: 0.6816
Epoch [8/100], Step[94/526], Loss: 0.7827
Epoch [8/100], Step[95/526], Loss: 0.7076
Epoch [8/100], Step[96/526], Loss: 0.6428
Epoch [8/100], Step[97/526], Loss: 0.6275
Epoch [8/100], Step[98/526], Loss: 0.6917
Epoch [8/100], Step[99/526], Loss: 0.6708
Epoch [8/100], Step[100/526], Loss: 0.6846
Epoch [8/100], Step[101/526], Loss: 0.6627
Epoch [8/100], Step[102/526], Loss: 0.6323
Epoch [8/100], Step[103/526], Loss: 0.6443
Epoch [8/100], Step[104/526], Loss: 0.6439
Epoch [8/100], Step[105/526], Loss: 0.6533
Epoch [8/100], Step[106/526], Loss: 0.6667
Epoch [8/100], Step[107/526], Loss: 0.6391
Epoch [8/100], Step[108/526], Loss: 0.6014
Epoch [8/100], Step[109/526], Loss: 0.6784
Epoch [8/100], Step[110/526], Loss: 0.6894
Epoch [8/100], Step[111/526], Loss: 0.6146
Epoch [8/100], Step[112/526], Loss: 0.7011
Epoch [8/100], Step[113/526], Loss: 0.6118
Epoch [8/100], Step[114/526], Loss: 0.6644
Epoch [8/100], Step[115/526], Loss: 0.6242
Epoch [8/100], Step[116/526], Loss: 0.5785
Epoch [8/100], Step[117/526], Loss: 0.6065
Epoch [8/100], Step[118/526], Loss: 0.7534
Epoch [8/100], Step[119/526], Loss: 0.6804
Epoch [8/100], Step[120/526], Loss: 0.6483
Epoch [8/100], Step[121/526], Loss: 0.6784
Epoch [8/100], Step[122/526], Loss: 0.6490
Epoch [8/100], Step[123/526], Loss: 0.6808
Epoch [8/100], Step[124/526], Loss: 0.6851
Epoch [8/100], Step[125/526], Loss: 0.6298
Epoch [8/100], Step[126/526], Loss: 0.6967
Epoch [8/100], Step[127/526], Loss: 0.6862
Epoch [8/100], Step[128/526], Loss: 0.6215
Epoch [8/100], Step[129/526], Loss: 0.5563
Epoch [8/100], Step[130/526], Loss: 0.5653
Epoch [8/100], Step[131/526], Loss: 0.7025
Epoch [8/100], Step[132/526], Loss: 0.7473
Epoch [8/100], Step[133/526], Loss: 0.6767
Epoch [8/100], Step[134/526], Loss: 0.6294
Epoch [8/100], Step[135/526], Loss: 0.6274
Epoch [8/100], Step[136/526], Loss: 0.5456
Epoch [8/100], Step[137/526], Loss: 0.5747
Epoch [8/100], Step[138/526], Loss: 0.6405
Epoch [8/100], Step[139/526], Loss: 0.7343
Epoch [8/100], Step[140/526], Loss: 0.5737
Epoch [8/100], Step[141/526], Loss: 0.6621
Epoch [8/100], Step[142/526], Loss: 0.6672
Epoch [8/100], Step[143/526], Loss: 0.6921
Epoch [8/100], Step[144/526], Loss: 0.8244
Epoch [8/100], Step[145/526], Loss: 0.5869
Epoch [8/100], Step[146/526], Loss: 0.5118
Epoch [8/100], Step[147/526], Loss: 0.4764
Epoch [8/100], Step[148/526], Loss: 0.5865
Epoch [8/100], Step[149/526], Loss: 0.5206
Epoch [8/100], Step[150/526], Loss: 0.6145
Epoch [8/100], Step[151/526], Loss: 0.5499
Epoch [8/100], Step[152/526], Loss: 0.6420
Epoch [8/100], Step[153/526], Loss: 0.6089
Epoch [8/100], Step[154/526], Loss: 0.7391
Epoch [8/100], Step[155/526], Loss: 0.6821
Epoch [8/100], Step[156/526], Loss: 0.5040
Epoch [8/100], Step[157/526], Loss: 0.2764
Epoch [8/100], Step[158/526], Loss: 0.5715
Epoch [8/100], Step[159/526], Loss: 0.6267
Epoch [8/100], Step[160/526], Loss: 0.5740
Epoch [8/100], Step[161/526], Loss: 1.4921
Epoch [8/100], Step[162/526], Loss: 0.7010
Epoch [8/100], Step[163/526], Loss: 0.7888
Epoch [8/100], Step[164/526], Loss: 0.6502
Epoch [8/100], Step[165/526], Loss: 0.7538
Epoch [8/100], Step[166/526], Loss: 0.4656
Epoch [8/100], Step[167/526], Loss: 0.5181
Epoch [8/100], Step[168/526], Loss: 0.7394
Epoch [8/100], Step[169/526], Loss: 0.8293
Epoch [8/100], Step[170/526], Loss: 0.7418
Epoch [8/100], Step[171/526], Loss: 0.6952
Epoch [8/100], Step[172/526], Loss: 0.7422
Epoch [8/100], Step[173/526], Loss: 0.8207
Epoch [8/100], Step[174/526], Loss: 0.6265
Epoch [8/100], Step[175/526], Loss: 0.6448
Epoch [8/100], Step[176/526], Loss: 0.6519
Epoch [8/100], Step[177/526], Loss: 0.6652
Epoch [8/100], Step[178/526], Loss: 0.7041
Epoch [8/100], Step[179/526], Loss: 0.6523
Epoch [8/100], Step[180/526], Loss: 0.6762
Epoch [8/100], Step[181/526], Loss: 0.6337
Epoch [8/100], Step[182/526], Loss: 0.7009
Epoch [8/100], Step[183/526], Loss: 0.5323
Epoch [8/100], Step[184/526], Loss: 0.6080
Epoch [8/100], Step[185/526], Loss: 0.5883
Epoch [8/100], Step[186/526], Loss: 0.6657
Epoch [8/100], Step[187/526], Loss: 0.7228
Epoch [8/100], Step[188/526], Loss: 0.7198
Epoch [8/100], Step[189/526], Loss: 0.6805
Epoch [8/100], Step[190/526], Loss: 0.5948
Epoch [8/100], Step[191/526], Loss: 0.7419
Epoch [8/100], Step[192/526], Loss: 0.7578
Epoch [8/100], Step[193/526], Loss: 0.6844
Epoch [8/100], Step[194/526], Loss: 0.6532
Epoch [8/100], Step[195/526], Loss: 0.6560
Epoch [8/100], Step[196/526], Loss: 0.7173
Epoch [8/100], Step[197/526], Loss: 0.7079
Epoch [8/100], Step[198/526], Loss: 0.6184
Epoch [8/100], Step[199/526], Loss: 0.7132
Epoch [8/100], Step[200/526], Loss: 0.6538
Epoch [8/100], Step[201/526], Loss: 0.6958
Epoch [8/100], Step[202/526], Loss: 0.7864
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Epoch [8/100], Step[204/526], Loss: 0.7932
Epoch [8/100], Step[205/526], Loss: 0.7354
Epoch [8/100], Step[206/526], Loss: 0.6753
Epoch [8/100], Step[207/526], Loss: 0.7224
Epoch [8/100], Step[208/526], Loss: 0.6827
Epoch [8/100], Step[209/526], Loss: 0.6938
Epoch [8/100], Step[210/526], Loss: 0.7022
Epoch [8/100], Step[211/526], Loss: 0.6360
Epoch [8/100], Step[212/526], Loss: 0.6922
Epoch [8/100], Step[213/526], Loss: 0.7219
Epoch [8/100], Step[214/526], Loss: 0.7127
Epoch [8/100], Step[215/526], Loss: 0.7197
Epoch [8/100], Step[216/526], Loss: 0.6944
Epoch [8/100], Step[217/526], Loss: 0.6976
Epoch [8/100], Step[218/526], Loss: 0.6845
Epoch [8/100], Step[219/526], Loss: 0.7032
Epoch [8/100], Step[220/526], Loss: 0.6673
Epoch [8/100], Step[221/526], Loss: 0.7282
Epoch [8/100], Step[222/526], Loss: 0.6431
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Epoch [8/100], Step[224/526], Loss: 0.6980
Epoch [8/100], Step[225/526], Loss: 0.6616
Epoch [8/100], Step[226/526], Loss: 0.6851
Epoch [8/100], Step[227/526], Loss: 0.6769
Epoch [8/100], Step[228/526], Loss: 0.6851
Epoch [8/100], Step[229/526], Loss: 0.6999
Epoch [8/100], Step[230/526], Loss: 0.6659
Epoch [8/100], Step[231/526], Loss: 0.6952
Epoch [8/100], Step[232/526], Loss: 0.7390
Epoch [8/100], Step[233/526], Loss: 0.6803
Epoch [8/100], Step[234/526], Loss: 0.6977
Epoch [8/100], Step[235/526], Loss: 0.6824
Epoch [8/100], Step[236/526], Loss: 0.6831
Epoch [8/100], Step[237/526], Loss: 0.7224
Epoch [8/100], Step[238/526], Loss: 0.6949
Epoch [8/100], Step[239/526], Loss: 0.6782
Epoch [8/100], Step[240/526], Loss: 0.7068
Epoch [8/100], Step[241/526], Loss: 0.6906
Epoch [8/100], Step[242/526], Loss: 0.6912
Epoch [8/100], Step[243/526], Loss: 0.6555
Epoch [8/100], Step[244/526], Loss: 0.6468
Epoch [8/100], Step[245/526], Loss: 0.6562
Epoch [8/100], Step[246/526], Loss: 0.6756
Epoch [8/100], Step[247/526], Loss: 0.6402
Epoch [8/100], Step[248/526], Loss: 0.6542
Epoch [8/100], Step[249/526], Loss: 0.6570
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Epoch [8/100], Step[251/526], Loss: 0.6897
Epoch [8/100], Step[252/526], Loss: 0.6961
Epoch [8/100], Step[253/526], Loss: 0.6521
Epoch [8/100], Step[254/526], Loss: 0.6842
Epoch [8/100], Step[255/526], Loss: 0.6322
Epoch [8/100], Step[256/526], Loss: 0.6952
Epoch [8/100], Step[257/526], Loss: 0.6453
Epoch [8/100], Step[258/526], Loss: 0.6479
Epoch [8/100], Step[259/526], Loss: 0.6909
Epoch [8/100], Step[260/526], Loss: 0.7181
Epoch [8/100], Step[261/526], Loss: 0.7202
Epoch [8/100], Step[262/526], Loss: 0.6629
Epoch [8/100], Step[263/526], Loss: 0.6668
Epoch [8/100], Step[264/526], Loss: 0.6471
Epoch [8/100], Step[265/526], Loss: 0.6042
Epoch [8/100], Step[266/526], Loss: 0.5877
Epoch [8/100], Step[267/526], Loss: 0.5164
Epoch [8/100], Step[268/526], Loss: 0.5925
Epoch [8/100], Step[269/526], Loss: 0.5151
Epoch [8/100], Step[270/526], Loss: 0.4692
Epoch [8/100], Step[271/526], Loss: 0.5492
Epoch [8/100], Step[272/526], Loss: 0.5499
Epoch [8/100], Step[273/526], Loss: 0.6170
Epoch [8/100], Step[274/526], Loss: 0.5151
Epoch [8/100], Step[275/526], Loss: 0.4856
Epoch [8/100], Step[276/526], Loss: 0.5178
Epoch [8/100], Step[277/526], Loss: 0.4675
Epoch [8/100], Step[278/526], Loss: 0.4939
Epoch [8/100], Step[279/526], Loss: 0.4467
Epoch [8/100], Step[280/526], Loss: 0.4912
Epoch [8/100], Step[281/526], Loss: 0.5915
Epoch [8/100], Step[282/526], Loss: 0.4134
Epoch [8/100], Step[283/526], Loss: 0.3835
Epoch [8/100], Step[284/526], Loss: 0.4273
Epoch [8/100], Step[285/526], Loss: 0.3364
Epoch [8/100], Step[286/526], Loss: 0.6579
Epoch [8/100], Step[287/526], Loss: 0.5221
Epoch [8/100], Step[288/526], Loss: 0.4508
Epoch [8/100], Step[289/526], Loss: 0.5918
Epoch [8/100], Step[290/526], Loss: 0.4493
Epoch [8/100], Step[291/526], Loss: 0.5103
Epoch [8/100], Step[292/526], Loss: 0.3173
Epoch [8/100], Step[293/526], Loss: 0.3349
Epoch [8/100], Step[294/526], Loss: 0.3731
Epoch [8/100], Step[295/526], Loss: 0.4282
Epoch [8/100], Step[296/526], Loss: 0.6200
Epoch [8/100], Step[297/526], Loss: 0.3096
Epoch [8/100], Step[298/526], Loss: 0.3659
Epoch [8/100], Step[299/526], Loss: 0.3028
Epoch [8/100], Step[300/526], Loss: 0.3561
Epoch [8/100], Step[301/526], Loss: 0.5810
Epoch [8/100], Step[302/526], Loss: 0.3453
Epoch [8/100], Step[303/526], Loss: 0.4900
Epoch [8/100], Step[304/526], Loss: 0.2782
Epoch [8/100], Step[305/526], Loss: 0.3488
Epoch [8/100], Step[306/526], Loss: 0.6042
Epoch [8/100], Step[307/526], Loss: 0.8627
Epoch [8/100], Step[308/526], Loss: 1.1659
Epoch [8/100], Step[309/526], Loss: 0.9633
Epoch [8/100], Step[310/526], Loss: 0.9180
Epoch [8/100], Step[311/526], Loss: 0.8086
Epoch [8/100], Step[312/526], Loss: 0.5299
Epoch [8/100], Step[313/526], Loss: 0.5011
Epoch [8/100], Step[314/526], Loss: 0.6189
Epoch [8/100], Step[315/526], Loss: 0.7116
Epoch [8/100], Step[316/526], Loss: 0.5340
Epoch [8/100], Step[317/526], Loss: 0.3082
Epoch [8/100], Step[318/526], Loss: 0.7113
Epoch [8/100], Step[319/526], Loss: 0.3866
Epoch [8/100], Step[320/526], Loss: 0.5902
Epoch [8/100], Step[321/526], Loss: 0.7923
Epoch [8/100], Step[322/526], Loss: 0.2928
Epoch [8/100], Step[323/526], Loss: 0.5875
Epoch [8/100], Step[324/526], Loss: 0.6882
Epoch [8/100], Step[325/526], Loss: 0.6070
Epoch [8/100], Step[326/526], Loss: 0.8096
Epoch [8/100], Step[327/526], Loss: 0.8028
Epoch [8/100], Step[328/526], Loss: 0.8486
Epoch [8/100], Step[329/526], Loss: 1.1638
Epoch [8/100], Step[330/526], Loss: 0.8671
Epoch [8/100], Step[331/526], Loss: 0.8634
Epoch [8/100], Step[332/526], Loss: 0.8897
Epoch [8/100], Step[333/526], Loss: 0.7494
Epoch [8/100], Step[334/526], Loss: 0.8101
Epoch [8/100], Step[335/526], Loss: 0.8517
Epoch [8/100], Step[336/526], Loss: 0.6622
Epoch [8/100], Step[337/526], Loss: 0.6245
Epoch [8/100], Step[338/526], Loss: 0.7012
Epoch [8/100], Step[339/526], Loss: 0.6545
Epoch [8/100], Step[340/526], Loss: 0.7316
Epoch [8/100], Step[341/526], Loss: 0.7807
Epoch [8/100], Step[342/526], Loss: 0.7959
Epoch [8/100], Step[343/526], Loss: 0.5843
Epoch [8/100], Step[344/526], Loss: 0.7333
Epoch [8/100], Step[345/526], Loss: 0.6845
Epoch [8/100], Step[346/526], Loss: 0.6916
Epoch [8/100], Step[347/526], Loss: 0.6947
Epoch [8/100], Step[348/526], Loss: 0.6616
Epoch [8/100], Step[349/526], Loss: 0.6051
Epoch [8/100], Step[350/526], Loss: 0.6868
Epoch [8/100], Step[351/526], Loss: 0.7246
Epoch [8/100], Step[352/526], Loss: 0.6191
Epoch [8/100], Step[353/526], Loss: 0.7108
Epoch [8/100], Step[354/526], Loss: 0.6699
Epoch [8/100], Step[355/526], Loss: 0.6827
Epoch [8/100], Step[356/526], Loss: 0.7067
Epoch [8/100], Step[357/526], Loss: 0.6684
Epoch [8/100], Step[358/526], Loss: 0.6945
Epoch [8/100], Step[359/526], Loss: 0.6827
Epoch [8/100], Step[360/526], Loss: 0.6779
Epoch [8/100], Step[361/526], Loss: 0.7863
Epoch [8/100], Step[362/526], Loss: 0.7585
Epoch [8/100], Step[363/526], Loss: 0.6827
Epoch [8/100], Step[364/526], Loss: 0.7248
Epoch [8/100], Step[365/526], Loss: 0.7291
Epoch [8/100], Step[366/526], Loss: 0.6855
Epoch [8/100], Step[367/526], Loss: 0.6859
Epoch [8/100], Step[368/526], Loss: 0.6625
Epoch [8/100], Step[369/526], Loss: 0.6626
Epoch [8/100], Step[370/526], Loss: 0.6043
Epoch [8/100], Step[371/526], Loss: 0.7472
Epoch [8/100], Step[372/526], Loss: 0.6600
Epoch [8/100], Step[373/526], Loss: 0.6930
Epoch [8/100], Step[374/526], Loss: 0.7007
Epoch [8/100], Step[375/526], Loss: 0.6739
Epoch [8/100], Step[376/526], Loss: 0.6747
Epoch [8/100], Step[377/526], Loss: 0.6944
Epoch [8/100], Step[378/526], Loss: 0.7055
Epoch [8/100], Step[379/526], Loss: 0.7433
Epoch [8/100], Step[380/526], Loss: 0.6432
Epoch [8/100], Step[381/526], Loss: 0.6252
Epoch [8/100], Step[382/526], Loss: 0.6838
Epoch [8/100], Step[383/526], Loss: 0.6839
Epoch [8/100], Step[384/526], Loss: 0.6479
Epoch [8/100], Step[385/526], Loss: 0.6515
Epoch [8/100], Step[386/526], Loss: 0.6797
Epoch [8/100], Step[387/526], Loss: 0.6653
Epoch [8/100], Step[388/526], Loss: 0.6232
Epoch [8/100], Step[389/526], Loss: 0.7001
Epoch [8/100], Step[390/526], Loss: 0.6404
Epoch [8/100], Step[391/526], Loss: 0.6636
Epoch [8/100], Step[392/526], Loss: 0.6944
Epoch [8/100], Step[393/526], Loss: 0.6196
Epoch [8/100], Step[394/526], Loss: 0.5561
Epoch [8/100], Step[395/526], Loss: 0.6753
Epoch [8/100], Step[396/526], Loss: 0.6407
Epoch [8/100], Step[397/526], Loss: 0.5076
Epoch [8/100], Step[398/526], Loss: 0.6212
Epoch [8/100], Step[399/526], Loss: 0.6528
Epoch [8/100], Step[400/526], Loss: 0.5034
Epoch [8/100], Step[401/526], Loss: 0.5811
Epoch [8/100], Step[402/526], Loss: 0.6415
Epoch [8/100], Step[403/526], Loss: 0.6894
Epoch [8/100], Step[404/526], Loss: 0.4977
Epoch [8/100], Step[405/526], Loss: 0.5218
Epoch [8/100], Step[406/526], Loss: 0.6684
Epoch [8/100], Step[407/526], Loss: 0.7373
Epoch [8/100], Step[408/526], Loss: 0.6535
Epoch [8/100], Step[409/526], Loss: 0.4496
Epoch [8/100], Step[410/526], Loss: 0.4757
Epoch [8/100], Step[411/526], Loss: 0.5293
Epoch [8/100], Step[412/526], Loss: 0.5709
Epoch [8/100], Step[413/526], Loss: 0.5935
Epoch [8/100], Step[414/526], Loss: 0.6407
Epoch [8/100], Step[415/526], Loss: 0.6121
Epoch [8/100], Step[416/526], Loss: 0.5392
Epoch [8/100], Step[417/526], Loss: 0.4906
Epoch [8/100], Step[418/526], Loss: 0.7650
Epoch [8/100], Step[419/526], Loss: 0.7305
Epoch [8/100], Step[420/526], Loss: 0.6789
Epoch [8/100], Step[421/526], Loss: 0.6242
Epoch [8/100], Step[422/526], Loss: 0.8121
Epoch [8/100], Step[423/526], Loss: 0.7157
Epoch [8/100], Step[424/526], Loss: 0.7330
Epoch [8/100], Step[425/526], Loss: 0.7051
Epoch [8/100], Step[426/526], Loss: 0.7792
Epoch [8/100], Step[427/526], Loss: 0.6593
Epoch [8/100], Step[428/526], Loss: 0.7088
Epoch [8/100], Step[429/526], Loss: 0.7311
Epoch [8/100], Step[430/526], Loss: 0.8427
Epoch [8/100], Step[431/526], Loss: 0.7437
Epoch [8/100], Step[432/526], Loss: 0.7720
Epoch [8/100], Step[433/526], Loss: 0.7148
Epoch [8/100], Step[434/526], Loss: 0.6222
Epoch [8/100], Step[435/526], Loss: 0.7819
Epoch [8/100], Step[436/526], Loss: 0.7908
Epoch [8/100], Step[437/526], Loss: 0.5493
Epoch [8/100], Step[438/526], Loss: 0.3642
Epoch [8/100], Step[439/526], Loss: 0.7585
Epoch [8/100], Step[440/526], Loss: 0.6937
Epoch [8/100], Step[441/526], Loss: 0.6996
Epoch [8/100], Step[442/526], Loss: 0.6425
Epoch [8/100], Step[443/526], Loss: 0.6724
Epoch [8/100], Step[444/526], Loss: 0.7551
Epoch [8/100], Step[445/526], Loss: 0.6898
Epoch [8/100], Step[446/526], Loss: 0.7336
Epoch [8/100], Step[447/526], Loss: 0.7126
Epoch [8/100], Step[448/526], Loss: 0.8372
Epoch [8/100], Step[449/526], Loss: 0.7406
Epoch [8/100], Step[450/526], Loss: 0.6160
Epoch [8/100], Step[451/526], Loss: 0.6071
Epoch [8/100], Step[452/526], Loss: 0.7308
Epoch [8/100], Step[453/526], Loss: 0.7499
Epoch [8/100], Step[454/526], Loss: 0.8346
Epoch [8/100], Step[455/526], Loss: 0.6752
Epoch [8/100], Step[456/526], Loss: 0.6393
Epoch [8/100], Step[457/526], Loss: 0.6829
Epoch [8/100], Step[458/526], Loss: 0.6629
Epoch [8/100], Step[459/526], Loss: 0.6811
Epoch [8/100], Step[460/526], Loss: 0.6742
Epoch [8/100], Step[461/526], Loss: 0.6514
Epoch [8/100], Step[462/526], Loss: 0.6794
Epoch [8/100], Step[463/526], Loss: 0.6488
Epoch [8/100], Step[464/526], Loss: 0.6692
Epoch [8/100], Step[465/526], Loss: 0.6678
Epoch [8/100], Step[466/526], Loss: 0.6522
Epoch [8/100], Step[467/526], Loss: 0.7664
Epoch [8/100], Step[468/526], Loss: 0.6516
Epoch [8/100], Step[469/526], Loss: 0.7799
Epoch [8/100], Step[470/526], Loss: 0.6610
Epoch [8/100], Step[471/526], Loss: 0.7273
Epoch [8/100], Step[472/526], Loss: 0.6730
Epoch [8/100], Step[473/526], Loss: 0.6788
Epoch [8/100], Step[474/526], Loss: 0.6761
Epoch [8/100], Step[475/526], Loss: 0.7602
Epoch [8/100], Step[476/526], Loss: 0.7686
Epoch [8/100], Step[477/526], Loss: 0.6983
Epoch [8/100], Step[478/526], Loss: 0.6998
Epoch [8/100], Step[479/526], Loss: 0.6799
Epoch [8/100], Step[480/526], Loss: 0.7346
Epoch [8/100], Step[481/526], Loss: 0.6934
Epoch [8/100], Step[482/526], Loss: 0.6488
Epoch [8/100], Step[483/526], Loss: 0.5704
Epoch [8/100], Step[484/526], Loss: 0.6769
Epoch [8/100], Step[485/526], Loss: 0.7587
Epoch [8/100], Step[486/526], Loss: 0.6983
Epoch [8/100], Step[487/526], Loss: 0.7203
Epoch [8/100], Step[488/526], Loss: 0.6874
Epoch [8/100], Step[489/526], Loss: 0.6663
Epoch [8/100], Step[490/526], Loss: 0.6347
Epoch [8/100], Step[491/526], Loss: 0.6889
Epoch [8/100], Step[492/526], Loss: 0.6710
Epoch [8/100], Step[493/526], Loss: 0.6763
Epoch [8/100], Step[494/526], Loss: 0.6574
Epoch [8/100], Step[495/526], Loss: 0.6956
Epoch [8/100], Step[496/526], Loss: 0.6688
Epoch [8/100], Step[497/526], Loss: 0.6546
Epoch [8/100], Step[498/526], Loss: 0.7007
Epoch [8/100], Step[499/526], Loss: 0.6822
Epoch [8/100], Step[500/526], Loss: 0.6844
Epoch [8/100], Step[501/526], Loss: 0.6675
Epoch [8/100], Step[502/526], Loss: 0.6888
Epoch [8/100], Step[503/526], Loss: 0.6975
Epoch [8/100], Step[504/526], Loss: 0.6867
Epoch [8/100], Step[505/526], Loss: 0.7091
Epoch [8/100], Step[506/526], Loss: 0.6990
Epoch [8/100], Step[507/526], Loss: 0.6803
Epoch [8/100], Step[508/526], Loss: 0.7135
Epoch [8/100], Step[509/526], Loss: 0.6777
Epoch [8/100], Step[510/526], Loss: 0.7071
Epoch [8/100], Step[511/526], Loss: 0.6464
Epoch [8/100], Step[512/526], Loss: 0.6668
Epoch [8/100], Step[513/526], Loss: 0.6655
Epoch [8/100], Step[514/526], Loss: 0.6408
Epoch [8/100], Step[515/526], Loss: 0.6186
Epoch [8/100], Step[516/526], Loss: 0.7391
Epoch [8/100], Step[517/526], Loss: 0.6730
Epoch [8/100], Step[518/526], Loss: 0.7022
Epoch [8/100], Step[519/526], Loss: 0.7037
Epoch [8/100], Step[520/526], Loss: 0.6862
Epoch [8/100], Step[521/526], Loss: 0.6412
Epoch [8/100], Step[522/526], Loss: 0.6564
Epoch [8/100], Step[523/526], Loss: 0.6762
Epoch [8/100], Step[524/526], Loss: 0.6712
Epoch [8/100], Step[525/526], Loss: 0.7358
Epoch [8/100], Step[526/526], Loss: 0.6801
Epoch [9/100], Step[1/526], Loss: 0.6578
Epoch [9/100], Step[2/526], Loss: 0.6483
Epoch [9/100], Step[3/526], Loss: 0.6806
Epoch [9/100], Step[4/526], Loss: 0.6422
Epoch [9/100], Step[5/526], Loss: 0.7177
Epoch [9/100], Step[6/526], Loss: 0.7259
Epoch [9/100], Step[7/526], Loss: 0.7015
Epoch [9/100], Step[8/526], Loss: 0.6929
Epoch [9/100], Step[9/526], Loss: 0.7183
Epoch [9/100], Step[10/526], Loss: 0.6923
Epoch [9/100], Step[11/526], Loss: 0.6636
Epoch [9/100], Step[12/526], Loss: 0.7075
Epoch [9/100], Step[13/526], Loss: 0.6488
Epoch [9/100], Step[14/526], Loss: 0.6776
Epoch [9/100], Step[15/526], Loss: 0.6882
Epoch [9/100], Step[16/526], Loss: 0.6925
Epoch [9/100], Step[17/526], Loss: 0.6864
Epoch [9/100], Step[18/526], Loss: 0.7049
Epoch [9/100], Step[19/526], Loss: 0.6801
Epoch [9/100], Step[20/526], Loss: 0.7138
Epoch [9/100], Step[21/526], Loss: 0.7266
Epoch [9/100], Step[22/526], Loss: 0.7058
Epoch [9/100], Step[23/526], Loss: 0.7256
Epoch [9/100], Step[24/526], Loss: 0.7177
Epoch [9/100], Step[25/526], Loss: 0.6875
Epoch [9/100], Step[26/526], Loss: 0.6561
Epoch [9/100], Step[27/526], Loss: 0.7046
Epoch [9/100], Step[28/526], Loss: 0.6954
Epoch [9/100], Step[29/526], Loss: 0.6557
Epoch [9/100], Step[30/526], Loss: 0.6744
Epoch [9/100], Step[31/526], Loss: 0.7018
Epoch [9/100], Step[32/526], Loss: 0.6757
Epoch [9/100], Step[33/526], Loss: 0.7083
Epoch [9/100], Step[34/526], Loss: 0.6834
Epoch [9/100], Step[35/526], Loss: 0.7087
Epoch [9/100], Step[36/526], Loss: 0.6986
Epoch [9/100], Step[37/526], Loss: 0.6972
Epoch [9/100], Step[38/526], Loss: 0.6807
Epoch [9/100], Step[39/526], Loss: 0.7188
Epoch [9/100], Step[40/526], Loss: 0.7204
Epoch [9/100], Step[41/526], Loss: 0.6585
Epoch [9/100], Step[42/526], Loss: 0.7111
Epoch [9/100], Step[43/526], Loss: 0.7083
Epoch [9/100], Step[44/526], Loss: 0.6727
Epoch [9/100], Step[45/526], Loss: 0.6800
Epoch [9/100], Step[46/526], Loss: 0.6782
Epoch [9/100], Step[47/526], Loss: 0.7107
Epoch [9/100], Step[48/526], Loss: 0.7133
Epoch [9/100], Step[49/526], Loss: 0.6950
Epoch [9/100], Step[50/526], Loss: 0.7138
Epoch [9/100], Step[51/526], Loss: 0.6889
Epoch [9/100], Step[52/526], Loss: 0.7031
Epoch [9/100], Step[53/526], Loss: 0.7122
Epoch [9/100], Step[54/526], Loss: 0.6978
Epoch [9/100], Step[55/526], Loss: 0.6936
Epoch [9/100], Step[56/526], Loss: 0.6988
Epoch [9/100], Step[57/526], Loss: 0.6912
Epoch [9/100], Step[58/526], Loss: 0.6789
Epoch [9/100], Step[59/526], Loss: 0.6853
Epoch [9/100], Step[60/526], Loss: 0.6722
Epoch [9/100], Step[61/526], Loss: 0.6603
Epoch [9/100], Step[62/526], Loss: 0.7032
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Epoch [9/100], Step[64/526], Loss: 0.6811
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Epoch [9/100], Step[82/526], Loss: 0.7337
Epoch [9/100], Step[83/526], Loss: 0.7205
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Epoch [9/100], Step[87/526], Loss: 0.6878
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Epoch [9/100], Step[89/526], Loss: 0.7087
Epoch [9/100], Step[90/526], Loss: 0.6940
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Epoch [9/100], Step[92/526], Loss: 0.6832
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Epoch [9/100], Step[94/526], Loss: 0.7747
Epoch [9/100], Step[95/526], Loss: 0.7064
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Epoch [9/100], Step[98/526], Loss: 0.6940
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Epoch [9/100], Step[100/526], Loss: 0.6818
Epoch [9/100], Step[101/526], Loss: 0.6610
Epoch [9/100], Step[102/526], Loss: 0.6414
Epoch [9/100], Step[103/526], Loss: 0.6496
Epoch [9/100], Step[104/526], Loss: 0.6416
Epoch [9/100], Step[105/526], Loss: 0.6533
Epoch [9/100], Step[106/526], Loss: 0.6598
Epoch [9/100], Step[107/526], Loss: 0.6418
Epoch [9/100], Step[108/526], Loss: 0.5938
Epoch [9/100], Step[109/526], Loss: 0.6753
Epoch [9/100], Step[110/526], Loss: 0.6894
Epoch [9/100], Step[111/526], Loss: 0.6150
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Epoch [9/100], Step[113/526], Loss: 0.6149
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Epoch [9/100], Step[116/526], Loss: 0.5779
Epoch [9/100], Step[117/526], Loss: 0.6061
Epoch [9/100], Step[118/526], Loss: 0.7484
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Epoch [9/100], Step[120/526], Loss: 0.6531
Epoch [9/100], Step[121/526], Loss: 0.6754
Epoch [9/100], Step[122/526], Loss: 0.6499
Epoch [9/100], Step[123/526], Loss: 0.6809
Epoch [9/100], Step[124/526], Loss: 0.6845
Epoch [9/100], Step[125/526], Loss: 0.6294
Epoch [9/100], Step[126/526], Loss: 0.6945
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Epoch [9/100], Step[129/526], Loss: 0.5569
Epoch [9/100], Step[130/526], Loss: 0.5672
Epoch [9/100], Step[131/526], Loss: 0.7031
Epoch [9/100], Step[132/526], Loss: 0.7421
Epoch [9/100], Step[133/526], Loss: 0.6743
Epoch [9/100], Step[134/526], Loss: 0.6257
Epoch [9/100], Step[135/526], Loss: 0.6328
Epoch [9/100], Step[136/526], Loss: 0.5538
Epoch [9/100], Step[137/526], Loss: 0.5779
Epoch [9/100], Step[138/526], Loss: 0.6406
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Epoch [9/100], Step[140/526], Loss: 0.5734
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Epoch [9/100], Step[142/526], Loss: 0.6639
Epoch [9/100], Step[143/526], Loss: 0.6885
Epoch [9/100], Step[144/526], Loss: 0.8209
Epoch [9/100], Step[145/526], Loss: 0.5786
Epoch [9/100], Step[146/526], Loss: 0.5095
Epoch [9/100], Step[147/526], Loss: 0.4752
Epoch [9/100], Step[148/526], Loss: 0.5842
Epoch [9/100], Step[149/526], Loss: 0.5073
Epoch [9/100], Step[150/526], Loss: 0.5971
Epoch [9/100], Step[151/526], Loss: 0.5437
Epoch [9/100], Step[152/526], Loss: 0.6380
Epoch [9/100], Step[153/526], Loss: 0.6027
Epoch [9/100], Step[154/526], Loss: 0.7403
Epoch [9/100], Step[155/526], Loss: 0.6685
Epoch [9/100], Step[156/526], Loss: 0.5029
Epoch [9/100], Step[157/526], Loss: 0.2715
Epoch [9/100], Step[158/526], Loss: 0.5669
Epoch [9/100], Step[159/526], Loss: 0.6266
Epoch [9/100], Step[160/526], Loss: 0.5696
Epoch [9/100], Step[161/526], Loss: 1.4575
Epoch [9/100], Step[162/526], Loss: 0.7005
Epoch [9/100], Step[163/526], Loss: 0.7816
Epoch [9/100], Step[164/526], Loss: 0.6428
Epoch [9/100], Step[165/526], Loss: 0.7447
Epoch [9/100], Step[166/526], Loss: 0.4607
Epoch [9/100], Step[167/526], Loss: 0.5143
Epoch [9/100], Step[168/526], Loss: 0.7363
Epoch [9/100], Step[169/526], Loss: 0.8310
Epoch [9/100], Step[170/526], Loss: 0.7461
Epoch [9/100], Step[171/526], Loss: 0.7059
Epoch [9/100], Step[172/526], Loss: 0.7445
Epoch [9/100], Step[173/526], Loss: 0.8320
Epoch [9/100], Step[174/526], Loss: 0.6284
Epoch [9/100], Step[175/526], Loss: 0.6392
Epoch [9/100], Step[176/526], Loss: 0.6525
Epoch [9/100], Step[177/526], Loss: 0.6694
Epoch [9/100], Step[178/526], Loss: 0.7100
Epoch [9/100], Step[179/526], Loss: 0.6499
Epoch [9/100], Step[180/526], Loss: 0.6850
Epoch [9/100], Step[181/526], Loss: 0.6235
Epoch [9/100], Step[182/526], Loss: 0.6950
Epoch [9/100], Step[183/526], Loss: 0.5208
Epoch [9/100], Step[184/526], Loss: 0.5971
Epoch [9/100], Step[185/526], Loss: 0.5815
Epoch [9/100], Step[186/526], Loss: 0.6720
Epoch [9/100], Step[187/526], Loss: 0.7350
Epoch [9/100], Step[188/526], Loss: 0.7299
Epoch [9/100], Step[189/526], Loss: 0.6816
Epoch [9/100], Step[190/526], Loss: 0.5965
Epoch [9/100], Step[191/526], Loss: 0.7573
Epoch [9/100], Step[192/526], Loss: 0.7868
Epoch [9/100], Step[193/526], Loss: 0.6867
Epoch [9/100], Step[194/526], Loss: 0.6594
Epoch [9/100], Step[195/526], Loss: 0.6560
Epoch [9/100], Step[196/526], Loss: 0.7414
Epoch [9/100], Step[197/526], Loss: 0.7168
Epoch [9/100], Step[198/526], Loss: 0.6169
Epoch [9/100], Step[199/526], Loss: 0.7075
Epoch [9/100], Step[200/526], Loss: 0.6596
Epoch [9/100], Step[201/526], Loss: 0.6921
Epoch [9/100], Step[202/526], Loss: 0.7871
Epoch [9/100], Step[203/526], Loss: 0.6676
Epoch [9/100], Step[204/526], Loss: 0.8110
Epoch [9/100], Step[205/526], Loss: 0.7284
Epoch [9/100], Step[206/526], Loss: 0.6770
Epoch [9/100], Step[207/526], Loss: 0.7185
Epoch [9/100], Step[208/526], Loss: 0.6781
Epoch [9/100], Step[209/526], Loss: 0.6899
Epoch [9/100], Step[210/526], Loss: 0.6890
Epoch [9/100], Step[211/526], Loss: 0.6311
Epoch [9/100], Step[212/526], Loss: 0.6875
Epoch [9/100], Step[213/526], Loss: 0.7310
Epoch [9/100], Step[214/526], Loss: 0.7142
Epoch [9/100], Step[215/526], Loss: 0.7177
Epoch [9/100], Step[216/526], Loss: 0.6938
Epoch [9/100], Step[217/526], Loss: 0.6977
Epoch [9/100], Step[218/526], Loss: 0.6846
Epoch [9/100], Step[219/526], Loss: 0.7045
Epoch [9/100], Step[220/526], Loss: 0.6670
Epoch [9/100], Step[221/526], Loss: 0.7268
Epoch [9/100], Step[222/526], Loss: 0.6466
Epoch [9/100], Step[223/526], Loss: 0.6997
Epoch [9/100], Step[224/526], Loss: 0.6957
Epoch [9/100], Step[225/526], Loss: 0.6652
Epoch [9/100], Step[226/526], Loss: 0.6861
Epoch [9/100], Step[227/526], Loss: 0.6761
Epoch [9/100], Step[228/526], Loss: 0.6816
Epoch [9/100], Step[229/526], Loss: 0.6950
Epoch [9/100], Step[230/526], Loss: 0.6648
Epoch [9/100], Step[231/526], Loss: 0.6976
Epoch [9/100], Step[232/526], Loss: 0.7427
Epoch [9/100], Step[233/526], Loss: 0.6780
Epoch [9/100], Step[234/526], Loss: 0.6994
Epoch [9/100], Step[235/526], Loss: 0.6834
Epoch [9/100], Step[236/526], Loss: 0.6828
Epoch [9/100], Step[237/526], Loss: 0.7219
Epoch [9/100], Step[238/526], Loss: 0.6980
Epoch [9/100], Step[239/526], Loss: 0.6797
Epoch [9/100], Step[240/526], Loss: 0.7076
Epoch [9/100], Step[241/526], Loss: 0.6961
Epoch [9/100], Step[242/526], Loss: 0.6930
Epoch [9/100], Step[243/526], Loss: 0.6669
Epoch [9/100], Step[244/526], Loss: 0.6465
Epoch [9/100], Step[245/526], Loss: 0.6557
Epoch [9/100], Step[246/526], Loss: 0.6726
Epoch [9/100], Step[247/526], Loss: 0.6396
Epoch [9/100], Step[248/526], Loss: 0.6528
Epoch [9/100], Step[249/526], Loss: 0.6555
Epoch [9/100], Step[250/526], Loss: 0.6789
Epoch [9/100], Step[251/526], Loss: 0.6907
Epoch [9/100], Step[252/526], Loss: 0.6963
Epoch [9/100], Step[253/526], Loss: 0.6517
Epoch [9/100], Step[254/526], Loss: 0.6793
Epoch [9/100], Step[255/526], Loss: 0.6302
Epoch [9/100], Step[256/526], Loss: 0.6921
Epoch [9/100], Step[257/526], Loss: 0.6432
Epoch [9/100], Step[258/526], Loss: 0.6395
Epoch [9/100], Step[259/526], Loss: 0.6943
Epoch [9/100], Step[260/526], Loss: 0.7262
Epoch [9/100], Step[261/526], Loss: 0.7253
Epoch [9/100], Step[262/526], Loss: 0.6646
Epoch [9/100], Step[263/526], Loss: 0.6633
Epoch [9/100], Step[264/526], Loss: 0.6450
Epoch [9/100], Step[265/526], Loss: 0.5965
Epoch [9/100], Step[266/526], Loss: 0.5897
Epoch [9/100], Step[267/526], Loss: 0.5131
Epoch [9/100], Step[268/526], Loss: 0.5785
Epoch [9/100], Step[269/526], Loss: 0.5037
Epoch [9/100], Step[270/526], Loss: 0.4571
Epoch [9/100], Step[271/526], Loss: 0.5431
Epoch [9/100], Step[272/526], Loss: 0.5502
Epoch [9/100], Step[273/526], Loss: 0.6176
Epoch [9/100], Step[274/526], Loss: 0.4995
Epoch [9/100], Step[275/526], Loss: 0.4743
Epoch [9/100], Step[276/526], Loss: 0.5146
Epoch [9/100], Step[277/526], Loss: 0.4711
Epoch [9/100], Step[278/526], Loss: 0.4920
Epoch [9/100], Step[279/526], Loss: 0.4475
Epoch [9/100], Step[280/526], Loss: 0.4867
Epoch [9/100], Step[281/526], Loss: 0.5920
Epoch [9/100], Step[282/526], Loss: 0.4086
Epoch [9/100], Step[283/526], Loss: 0.3830
Epoch [9/100], Step[284/526], Loss: 0.4302
Epoch [9/100], Step[285/526], Loss: 0.3373
Epoch [9/100], Step[286/526], Loss: 0.6589
Epoch [9/100], Step[287/526], Loss: 0.5130
Epoch [9/100], Step[288/526], Loss: 0.4557
Epoch [9/100], Step[289/526], Loss: 0.5956
Epoch [9/100], Step[290/526], Loss: 0.4470
Epoch [9/100], Step[291/526], Loss: 0.5104
Epoch [9/100], Step[292/526], Loss: 0.3189
Epoch [9/100], Step[293/526], Loss: 0.3351
Epoch [9/100], Step[294/526], Loss: 0.3749
Epoch [9/100], Step[295/526], Loss: 0.4346
Epoch [9/100], Step[296/526], Loss: 0.6118
Epoch [9/100], Step[297/526], Loss: 0.3115
Epoch [9/100], Step[298/526], Loss: 0.3601
Epoch [9/100], Step[299/526], Loss: 0.3018
Epoch [9/100], Step[300/526], Loss: 0.3530
Epoch [9/100], Step[301/526], Loss: 0.5803
Epoch [9/100], Step[302/526], Loss: 0.3461
Epoch [9/100], Step[303/526], Loss: 0.4932
Epoch [9/100], Step[304/526], Loss: 0.2854
Epoch [9/100], Step[305/526], Loss: 0.3355
Epoch [9/100], Step[306/526], Loss: 0.5992
Epoch [9/100], Step[307/526], Loss: 0.8618
Epoch [9/100], Step[308/526], Loss: 1.1763
Epoch [9/100], Step[309/526], Loss: 0.9380
Epoch [9/100], Step[310/526], Loss: 0.9118
Epoch [9/100], Step[311/526], Loss: 0.8008
Epoch [9/100], Step[312/526], Loss: 0.5182
Epoch [9/100], Step[313/526], Loss: 0.4925
Epoch [9/100], Step[314/526], Loss: 0.6192
Epoch [9/100], Step[315/526], Loss: 0.7098
Epoch [9/100], Step[316/526], Loss: 0.5220
Epoch [9/100], Step[317/526], Loss: 0.3096
Epoch [9/100], Step[318/526], Loss: 0.7151
Epoch [9/100], Step[319/526], Loss: 0.3792
Epoch [9/100], Step[320/526], Loss: 0.5886
Epoch [9/100], Step[321/526], Loss: 0.7681
Epoch [9/100], Step[322/526], Loss: 0.2885
Epoch [9/100], Step[323/526], Loss: 0.5890
Epoch [9/100], Step[324/526], Loss: 0.6870
Epoch [9/100], Step[325/526], Loss: 0.5983
Epoch [9/100], Step[326/526], Loss: 0.8050
Epoch [9/100], Step[327/526], Loss: 0.7824
Epoch [9/100], Step[328/526], Loss: 0.8635
Epoch [9/100], Step[329/526], Loss: 1.1680
Epoch [9/100], Step[330/526], Loss: 0.8833
Epoch [9/100], Step[331/526], Loss: 0.8581
Epoch [9/100], Step[332/526], Loss: 0.8900
Epoch [9/100], Step[333/526], Loss: 0.7524
Epoch [9/100], Step[334/526], Loss: 0.8105
Epoch [9/100], Step[335/526], Loss: 0.8538
Epoch [9/100], Step[336/526], Loss: 0.6590
Epoch [9/100], Step[337/526], Loss: 0.6152
Epoch [9/100], Step[338/526], Loss: 0.7070
Epoch [9/100], Step[339/526], Loss: 0.6570
Epoch [9/100], Step[340/526], Loss: 0.7360
Epoch [9/100], Step[341/526], Loss: 0.7925
Epoch [9/100], Step[342/526], Loss: 0.8076
Epoch [9/100], Step[343/526], Loss: 0.5752
Epoch [9/100], Step[344/526], Loss: 0.7387
Epoch [9/100], Step[345/526], Loss: 0.6797
Epoch [9/100], Step[346/526], Loss: 0.6938
Epoch [9/100], Step[347/526], Loss: 0.6952
Epoch [9/100], Step[348/526], Loss: 0.6612
Epoch [9/100], Step[349/526], Loss: 0.5888
Epoch [9/100], Step[350/526], Loss: 0.6856
Epoch [9/100], Step[351/526], Loss: 0.7365
Epoch [9/100], Step[352/526], Loss: 0.6101
Epoch [9/100], Step[353/526], Loss: 0.7179
Epoch [9/100], Step[354/526], Loss: 0.6717
Epoch [9/100], Step[355/526], Loss: 0.6890
Epoch [9/100], Step[356/526], Loss: 0.7068
Epoch [9/100], Step[357/526], Loss: 0.6630
Epoch [9/100], Step[358/526], Loss: 0.6899
Epoch [9/100], Step[359/526], Loss: 0.6776
Epoch [9/100], Step[360/526], Loss: 0.6735
Epoch [9/100], Step[361/526], Loss: 0.8009
Epoch [9/100], Step[362/526], Loss: 0.7649
Epoch [9/100], Step[363/526], Loss: 0.6838
Epoch [9/100], Step[364/526], Loss: 0.7239
Epoch [9/100], Step[365/526], Loss: 0.7220
Epoch [9/100], Step[366/526], Loss: 0.6857
Epoch [9/100], Step[367/526], Loss: 0.6870
Epoch [9/100], Step[368/526], Loss: 0.6637
Epoch [9/100], Step[369/526], Loss: 0.6661
Epoch [9/100], Step[370/526], Loss: 0.6015
Epoch [9/100], Step[371/526], Loss: 0.7469
Epoch [9/100], Step[372/526], Loss: 0.6583
Epoch [9/100], Step[373/526], Loss: 0.6903
Epoch [9/100], Step[374/526], Loss: 0.6992
Epoch [9/100], Step[375/526], Loss: 0.6727
Epoch [9/100], Step[376/526], Loss: 0.6759
Epoch [9/100], Step[377/526], Loss: 0.6947
Epoch [9/100], Step[378/526], Loss: 0.7074
Epoch [9/100], Step[379/526], Loss: 0.7151
Epoch [9/100], Step[380/526], Loss: 0.6210
Epoch [9/100], Step[381/526], Loss: 0.6202
Epoch [9/100], Step[382/526], Loss: 0.6811
Epoch [9/100], Step[383/526], Loss: 0.6749
Epoch [9/100], Step[384/526], Loss: 0.6502
Epoch [9/100], Step[385/526], Loss: 0.6475
Epoch [9/100], Step[386/526], Loss: 0.6793
Epoch [9/100], Step[387/526], Loss: 0.6643
Epoch [9/100], Step[388/526], Loss: 0.6131
Epoch [9/100], Step[389/526], Loss: 0.7034
Epoch [9/100], Step[390/526], Loss: 0.6291
Epoch [9/100], Step[391/526], Loss: 0.6601
Epoch [9/100], Step[392/526], Loss: 0.6935
Epoch [9/100], Step[393/526], Loss: 0.6141
Epoch [9/100], Step[394/526], Loss: 0.5352
Epoch [9/100], Step[395/526], Loss: 0.6642
Epoch [9/100], Step[396/526], Loss: 0.6358
Epoch [9/100], Step[397/526], Loss: 0.4914
Epoch [9/100], Step[398/526], Loss: 0.6080
Epoch [9/100], Step[399/526], Loss: 0.6483
Epoch [9/100], Step[400/526], Loss: 0.4868
Epoch [9/100], Step[401/526], Loss: 0.5756
Epoch [9/100], Step[402/526], Loss: 0.6272
Epoch [9/100], Step[403/526], Loss: 0.6936
Epoch [9/100], Step[404/526], Loss: 0.4956
Epoch [9/100], Step[405/526], Loss: 0.5125
Epoch [9/100], Step[406/526], Loss: 0.6679
Epoch [9/100], Step[407/526], Loss: 0.7387
Epoch [9/100], Step[408/526], Loss: 0.6525
Epoch [9/100], Step[409/526], Loss: 0.4431
Epoch [9/100], Step[410/526], Loss: 0.4745
Epoch [9/100], Step[411/526], Loss: 0.5271
Epoch [9/100], Step[412/526], Loss: 0.5715
Epoch [9/100], Step[413/526], Loss: 0.5899
Epoch [9/100], Step[414/526], Loss: 0.6376
Epoch [9/100], Step[415/526], Loss: 0.6146
Epoch [9/100], Step[416/526], Loss: 0.5579
Epoch [9/100], Step[417/526], Loss: 0.4912
Epoch [9/100], Step[418/526], Loss: 0.7645
Epoch [9/100], Step[419/526], Loss: 0.7259
Epoch [9/100], Step[420/526], Loss: 0.6826
Epoch [9/100], Step[421/526], Loss: 0.6210
Epoch [9/100], Step[422/526], Loss: 0.8002
Epoch [9/100], Step[423/526], Loss: 0.7123
Epoch [9/100], Step[424/526], Loss: 0.7331
Epoch [9/100], Step[425/526], Loss: 0.7049
Epoch [9/100], Step[426/526], Loss: 0.7732
Epoch [9/100], Step[427/526], Loss: 0.6598
Epoch [9/100], Step[428/526], Loss: 0.7067
Epoch [9/100], Step[429/526], Loss: 0.7301
Epoch [9/100], Step[430/526], Loss: 0.8296
Epoch [9/100], Step[431/526], Loss: 0.7389
Epoch [9/100], Step[432/526], Loss: 0.7690
Epoch [9/100], Step[433/526], Loss: 0.7102
Epoch [9/100], Step[434/526], Loss: 0.6214
Epoch [9/100], Step[435/526], Loss: 0.7832
Epoch [9/100], Step[436/526], Loss: 0.7887
Epoch [9/100], Step[437/526], Loss: 0.5477
Epoch [9/100], Step[438/526], Loss: 0.3692
Epoch [9/100], Step[439/526], Loss: 0.7547
Epoch [9/100], Step[440/526], Loss: 0.6904
Epoch [9/100], Step[441/526], Loss: 0.6988
Epoch [9/100], Step[442/526], Loss: 0.6424
Epoch [9/100], Step[443/526], Loss: 0.6722
Epoch [9/100], Step[444/526], Loss: 0.7568
Epoch [9/100], Step[445/526], Loss: 0.6893
Epoch [9/100], Step[446/526], Loss: 0.7313
Epoch [9/100], Step[447/526], Loss: 0.7105
Epoch [9/100], Step[448/526], Loss: 0.8281
Epoch [9/100], Step[449/526], Loss: 0.7406
Epoch [9/100], Step[450/526], Loss: 0.6099
Epoch [9/100], Step[451/526], Loss: 0.6050
Epoch [9/100], Step[452/526], Loss: 0.7323
Epoch [9/100], Step[453/526], Loss: 0.7483
Epoch [9/100], Step[454/526], Loss: 0.8351
Epoch [9/100], Step[455/526], Loss: 0.6725
Epoch [9/100], Step[456/526], Loss: 0.6440
Epoch [9/100], Step[457/526], Loss: 0.6880
Epoch [9/100], Step[458/526], Loss: 0.6675
Epoch [9/100], Step[459/526], Loss: 0.6822
Epoch [9/100], Step[460/526], Loss: 0.6726
Epoch [9/100], Step[461/526], Loss: 0.6469
Epoch [9/100], Step[462/526], Loss: 0.6776
Epoch [9/100], Step[463/526], Loss: 0.6503
Epoch [9/100], Step[464/526], Loss: 0.6669
Epoch [9/100], Step[465/526], Loss: 0.6742
Epoch [9/100], Step[466/526], Loss: 0.6616
Epoch [9/100], Step[467/526], Loss: 0.6577
Epoch [9/100], Step[468/526], Loss: 0.6490
Epoch [9/100], Step[469/526], Loss: 0.7730
Epoch [9/100], Step[470/526], Loss: 0.6667
Epoch [9/100], Step[471/526], Loss: 0.7010
Epoch [9/100], Step[472/526], Loss: 0.6766
Epoch [9/100], Step[473/526], Loss: 0.6774
Epoch [9/100], Step[474/526], Loss: 0.6748
Epoch [9/100], Step[475/526], Loss: 0.7601
Epoch [9/100], Step[476/526], Loss: 0.7654
Epoch [9/100], Step[477/526], Loss: 0.6981
Epoch [9/100], Step[478/526], Loss: 0.6959
Epoch [9/100], Step[479/526], Loss: 0.6774
Epoch [9/100], Step[480/526], Loss: 0.7315
Epoch [9/100], Step[481/526], Loss: 0.6952
Epoch [9/100], Step[482/526], Loss: 0.6507
Epoch [9/100], Step[483/526], Loss: 0.5723
Epoch [9/100], Step[484/526], Loss: 0.6797
Epoch [9/100], Step[485/526], Loss: 0.7618
Epoch [9/100], Step[486/526], Loss: 0.6983
Epoch [9/100], Step[487/526], Loss: 0.7188
Epoch [9/100], Step[488/526], Loss: 0.6933
Epoch [9/100], Step[489/526], Loss: 0.6662
Epoch [9/100], Step[490/526], Loss: 0.6371
Epoch [9/100], Step[491/526], Loss: 0.6894
Epoch [9/100], Step[492/526], Loss: 0.6716
Epoch [9/100], Step[493/526], Loss: 0.6779
Epoch [9/100], Step[494/526], Loss: 0.6547
Epoch [9/100], Step[495/526], Loss: 0.6897
Epoch [9/100], Step[496/526], Loss: 0.6726
Epoch [9/100], Step[497/526], Loss: 0.6523
Epoch [9/100], Step[498/526], Loss: 0.6957
Epoch [9/100], Step[499/526], Loss: 0.6805
Epoch [9/100], Step[500/526], Loss: 0.6833
Epoch [9/100], Step[501/526], Loss: 0.6669
Epoch [9/100], Step[502/526], Loss: 0.6908
Epoch [9/100], Step[503/526], Loss: 0.7018
Epoch [9/100], Step[504/526], Loss: 0.6893
Epoch [9/100], Step[505/526], Loss: 0.7073
Epoch [9/100], Step[506/526], Loss: 0.6939
Epoch [9/100], Step[507/526], Loss: 0.6782
Epoch [9/100], Step[508/526], Loss: 0.7076
Epoch [9/100], Step[509/526], Loss: 0.6733
Epoch [9/100], Step[510/526], Loss: 0.7047
Epoch [9/100], Step[511/526], Loss: 0.6498
Epoch [9/100], Step[512/526], Loss: 0.6701
Epoch [9/100], Step[513/526], Loss: 0.6707
Epoch [9/100], Step[514/526], Loss: 0.6449
Epoch [9/100], Step[515/526], Loss: 0.5937
Epoch [9/100], Step[516/526], Loss: 0.7367
Epoch [9/100], Step[517/526], Loss: 0.6703
Epoch [9/100], Step[518/526], Loss: 0.6976
Epoch [9/100], Step[519/526], Loss: 0.7019
Epoch [9/100], Step[520/526], Loss: 0.6857
Epoch [9/100], Step[521/526], Loss: 0.6439
Epoch [9/100], Step[522/526], Loss: 0.6488
Epoch [9/100], Step[523/526], Loss: 0.6723
Epoch [9/100], Step[524/526], Loss: 0.6680
Epoch [9/100], Step[525/526], Loss: 0.7327
Epoch [9/100], Step[526/526], Loss: 0.6790
Epoch [10/100], Step[1/526], Loss: 0.6605
Epoch [10/100], Step[2/526], Loss: 0.6509
Epoch [10/100], Step[3/526], Loss: 0.6836
Epoch [10/100], Step[4/526], Loss: 0.6455
Epoch [10/100], Step[5/526], Loss: 0.7170
Epoch [10/100], Step[6/526], Loss: 0.7199
Epoch [10/100], Step[7/526], Loss: 0.7022
Epoch [10/100], Step[8/526], Loss: 0.6902
Epoch [10/100], Step[9/526], Loss: 0.7165
Epoch [10/100], Step[10/526], Loss: 0.6937
Epoch [10/100], Step[11/526], Loss: 0.6612
Epoch [10/100], Step[12/526], Loss: 0.7085
Epoch [10/100], Step[13/526], Loss: 0.6449
Epoch [10/100], Step[14/526], Loss: 0.6733
Epoch [10/100], Step[15/526], Loss: 0.6900
Epoch [10/100], Step[16/526], Loss: 0.6950
Epoch [10/100], Step[17/526], Loss: 0.6896
Epoch [10/100], Step[18/526], Loss: 0.7074
Epoch [10/100], Step[19/526], Loss: 0.6799
Epoch [10/100], Step[20/526], Loss: 0.7152
Epoch [10/100], Step[21/526], Loss: 0.7205
Epoch [10/100], Step[22/526], Loss: 0.7041
Epoch [10/100], Step[23/526], Loss: 0.7236
Epoch [10/100], Step[24/526], Loss: 0.7104
Epoch [10/100], Step[25/526], Loss: 0.6855
Epoch [10/100], Step[26/526], Loss: 0.6542
Epoch [10/100], Step[27/526], Loss: 0.7019
Epoch [10/100], Step[28/526], Loss: 0.6973
Epoch [10/100], Step[29/526], Loss: 0.6571
Epoch [10/100], Step[30/526], Loss: 0.6767
Epoch [10/100], Step[31/526], Loss: 0.7018
Epoch [10/100], Step[32/526], Loss: 0.6736
Epoch [10/100], Step[33/526], Loss: 0.7069
Epoch [10/100], Step[34/526], Loss: 0.6850
Epoch [10/100], Step[35/526], Loss: 0.7095
Epoch [10/100], Step[36/526], Loss: 0.7039
Epoch [10/100], Step[37/526], Loss: 0.6950
Epoch [10/100], Step[38/526], Loss: 0.6796
Epoch [10/100], Step[39/526], Loss: 0.7144
Epoch [10/100], Step[40/526], Loss: 0.7154
Epoch [10/100], Step[41/526], Loss: 0.6606
Epoch [10/100], Step[42/526], Loss: 0.7121
Epoch [10/100], Step[43/526], Loss: 0.7104
Epoch [10/100], Step[44/526], Loss: 0.6738
Epoch [10/100], Step[45/526], Loss: 0.6814
Epoch [10/100], Step[46/526], Loss: 0.6762
Epoch [10/100], Step[47/526], Loss: 0.7091
Epoch [10/100], Step[48/526], Loss: 0.7124
Epoch [10/100], Step[49/526], Loss: 0.6911
Epoch [10/100], Step[50/526], Loss: 0.7131
Epoch [10/100], Step[51/526], Loss: 0.6885
Epoch [10/100], Step[52/526], Loss: 0.7036
Epoch [10/100], Step[53/526], Loss: 0.7117
Epoch [10/100], Step[54/526], Loss: 0.6981
Epoch [10/100], Step[55/526], Loss: 0.6931
Epoch [10/100], Step[56/526], Loss: 0.6999
Epoch [10/100], Step[57/526], Loss: 0.6933
Epoch [10/100], Step[58/526], Loss: 0.6782
Epoch [10/100], Step[59/526], Loss: 0.6853
Epoch [10/100], Step[60/526], Loss: 0.6734
Epoch [10/100], Step[61/526], Loss: 0.6597
Epoch [10/100], Step[62/526], Loss: 0.7007
Epoch [10/100], Step[63/526], Loss: 0.6883
Epoch [10/100], Step[64/526], Loss: 0.6800
Epoch [10/100], Step[65/526], Loss: 0.6959
Epoch [10/100], Step[66/526], Loss: 0.6783
Epoch [10/100], Step[67/526], Loss: 0.6650
Epoch [10/100], Step[68/526], Loss: 0.6567
Epoch [10/100], Step[69/526], Loss: 0.7029
Epoch [10/100], Step[70/526], Loss: 0.6901
Epoch [10/100], Step[71/526], Loss: 0.6707
Epoch [10/100], Step[72/526], Loss: 0.6747
Epoch [10/100], Step[73/526], Loss: 0.6982
Epoch [10/100], Step[74/526], Loss: 0.6728
Epoch [10/100], Step[75/526], Loss: 0.7142
Epoch [10/100], Step[76/526], Loss: 0.6975
Epoch [10/100], Step[77/526], Loss: 0.6814
Epoch [10/100], Step[78/526], Loss: 0.7084
Epoch [10/100], Step[79/526], Loss: 0.6963
Epoch [10/100], Step[80/526], Loss: 0.6963
Epoch [10/100], Step[81/526], Loss: 0.6964
Epoch [10/100], Step[82/526], Loss: 0.7320
Epoch [10/100], Step[83/526], Loss: 0.7209
Epoch [10/100], Step[84/526], Loss: 0.6925
Epoch [10/100], Step[85/526], Loss: 0.6718
Epoch [10/100], Step[86/526], Loss: 0.7036
Epoch [10/100], Step[87/526], Loss: 0.6877
Epoch [10/100], Step[88/526], Loss: 0.6767
Epoch [10/100], Step[89/526], Loss: 0.7096
Epoch [10/100], Step[90/526], Loss: 0.6939
Epoch [10/100], Step[91/526], Loss: 0.6731
Epoch [10/100], Step[92/526], Loss: 0.6852
Epoch [10/100], Step[93/526], Loss: 0.6776
Epoch [10/100], Step[94/526], Loss: 0.7782
Epoch [10/100], Step[95/526], Loss: 0.7065
Epoch [10/100], Step[96/526], Loss: 0.6355
Epoch [10/100], Step[97/526], Loss: 0.6164
Epoch [10/100], Step[98/526], Loss: 0.6919
Epoch [10/100], Step[99/526], Loss: 0.6779
Epoch [10/100], Step[100/526], Loss: 0.6780
Epoch [10/100], Step[101/526], Loss: 0.6608
Epoch [10/100], Step[102/526], Loss: 0.6424
Epoch [10/100], Step[103/526], Loss: 0.6573
Epoch [10/100], Step[104/526], Loss: 0.6406
Epoch [10/100], Step[105/526], Loss: 0.6485
Epoch [10/100], Step[106/526], Loss: 0.6569
Epoch [10/100], Step[107/526], Loss: 0.6420
Epoch [10/100], Step[108/526], Loss: 0.5875
Epoch [10/100], Step[109/526], Loss: 0.6740
Epoch [10/100], Step[110/526], Loss: 0.6915
Epoch [10/100], Step[111/526], Loss: 0.6120
Epoch [10/100], Step[112/526], Loss: 0.7027
Epoch [10/100], Step[113/526], Loss: 0.6115
Epoch [10/100], Step[114/526], Loss: 0.6703
Epoch [10/100], Step[115/526], Loss: 0.6267
Epoch [10/100], Step[116/526], Loss: 0.5711
Epoch [10/100], Step[117/526], Loss: 0.6069
Epoch [10/100], Step[118/526], Loss: 0.7502
Epoch [10/100], Step[119/526], Loss: 0.6796
Epoch [10/100], Step[120/526], Loss: 0.6571
Epoch [10/100], Step[121/526], Loss: 0.6717
Epoch [10/100], Step[122/526], Loss: 0.6474
Epoch [10/100], Step[123/526], Loss: 0.6810
Epoch [10/100], Step[124/526], Loss: 0.6851
Epoch [10/100], Step[125/526], Loss: 0.6279
Epoch [10/100], Step[126/526], Loss: 0.6919
Epoch [10/100], Step[127/526], Loss: 0.6924
Epoch [10/100], Step[128/526], Loss: 0.6268
Epoch [10/100], Step[129/526], Loss: 0.5551
Epoch [10/100], Step[130/526], Loss: 0.5637
Epoch [10/100], Step[131/526], Loss: 0.7031
Epoch [10/100], Step[132/526], Loss: 0.7432
Epoch [10/100], Step[133/526], Loss: 0.6745
Epoch [10/100], Step[134/526], Loss: 0.6261
Epoch [10/100], Step[135/526], Loss: 0.6367
Epoch [10/100], Step[136/526], Loss: 0.5541
Epoch [10/100], Step[137/526], Loss: 0.5819
Epoch [10/100], Step[138/526], Loss: 0.6400
Epoch [10/100], Step[139/526], Loss: 0.7406
Epoch [10/100], Step[140/526], Loss: 0.5684
Epoch [10/100], Step[141/526], Loss: 0.6616
Epoch [10/100], Step[142/526], Loss: 0.6614
Epoch [10/100], Step[143/526], Loss: 0.6900
Epoch [10/100], Step[144/526], Loss: 0.8217
Epoch [10/100], Step[145/526], Loss: 0.5723
Epoch [10/100], Step[146/526], Loss: 0.5053
Epoch [10/100], Step[147/526], Loss: 0.4673
Epoch [10/100], Step[148/526], Loss: 0.5834
Epoch [10/100], Step[149/526], Loss: 0.4965
Epoch [10/100], Step[150/526], Loss: 0.5852
Epoch [10/100], Step[151/526], Loss: 0.5319
Epoch [10/100], Step[152/526], Loss: 0.6332
Epoch [10/100], Step[153/526], Loss: 0.5921
Epoch [10/100], Step[154/526], Loss: 0.7431
Epoch [10/100], Step[155/526], Loss: 0.6634
Epoch [10/100], Step[156/526], Loss: 0.4998
Epoch [10/100], Step[157/526], Loss: 0.2597
Epoch [10/100], Step[158/526], Loss: 0.5599
Epoch [10/100], Step[159/526], Loss: 0.6222
Epoch [10/100], Step[160/526], Loss: 0.5704
Epoch [10/100], Step[161/526], Loss: 1.4536
Epoch [10/100], Step[162/526], Loss: 0.7018
Epoch [10/100], Step[163/526], Loss: 0.7934
Epoch [10/100], Step[164/526], Loss: 0.6503
Epoch [10/100], Step[165/526], Loss: 0.7439
Epoch [10/100], Step[166/526], Loss: 0.4499
Epoch [10/100], Step[167/526], Loss: 0.5055
Epoch [10/100], Step[168/526], Loss: 0.7437
Epoch [10/100], Step[169/526], Loss: 0.8409
Epoch [10/100], Step[170/526], Loss: 0.7480
Epoch [10/100], Step[171/526], Loss: 0.7120
Epoch [10/100], Step[172/526], Loss: 0.7437
Epoch [10/100], Step[173/526], Loss: 0.8420
Epoch [10/100], Step[174/526], Loss: 0.6327
Epoch [10/100], Step[175/526], Loss: 0.6385
Epoch [10/100], Step[176/526], Loss: 0.6486
Epoch [10/100], Step[177/526], Loss: 0.6673
Epoch [10/100], Step[178/526], Loss: 0.7109
Epoch [10/100], Step[179/526], Loss: 0.6473
Epoch [10/100], Step[180/526], Loss: 0.6888
Epoch [10/100], Step[181/526], Loss: 0.6223
Epoch [10/100], Step[182/526], Loss: 0.6906
Epoch [10/100], Step[183/526], Loss: 0.5201
Epoch [10/100], Step[184/526], Loss: 0.5966
Epoch [10/100], Step[185/526], Loss: 0.5858
Epoch [10/100], Step[186/526], Loss: 0.6696
Epoch [10/100], Step[187/526], Loss: 0.7364
Epoch [10/100], Step[188/526], Loss: 0.7269
Epoch [10/100], Step[189/526], Loss: 0.6798
Epoch [10/100], Step[190/526], Loss: 0.6012
Epoch [10/100], Step[191/526], Loss: 0.7605
Epoch [10/100], Step[192/526], Loss: 0.7934
Epoch [10/100], Step[193/526], Loss: 0.6844
Epoch [10/100], Step[194/526], Loss: 0.6609
Epoch [10/100], Step[195/526], Loss: 0.6536
Epoch [10/100], Step[196/526], Loss: 0.7491
Epoch [10/100], Step[197/526], Loss: 0.7221
Epoch [10/100], Step[198/526], Loss: 0.6185
Epoch [10/100], Step[199/526], Loss: 0.7082
Epoch [10/100], Step[200/526], Loss: 0.6644
Epoch [10/100], Step[201/526], Loss: 0.6917
Epoch [10/100], Step[202/526], Loss: 0.7853
Epoch [10/100], Step[203/526], Loss: 0.6690
Epoch [10/100], Step[204/526], Loss: 0.8074
Epoch [10/100], Step[205/526], Loss: 0.7268
Epoch [10/100], Step[206/526], Loss: 0.6797
Epoch [10/100], Step[207/526], Loss: 0.7158
Epoch [10/100], Step[208/526], Loss: 0.6746
Epoch [10/100], Step[209/526], Loss: 0.6883
Epoch [10/100], Step[210/526], Loss: 0.6845
Epoch [10/100], Step[211/526], Loss: 0.6367
Epoch [10/100], Step[212/526], Loss: 0.6848
Epoch [10/100], Step[213/526], Loss: 0.7323
Epoch [10/100], Step[214/526], Loss: 0.7122
Epoch [10/100], Step[215/526], Loss: 0.7176
Epoch [10/100], Step[216/526], Loss: 0.6939
Epoch [10/100], Step[217/526], Loss: 0.6983
Epoch [10/100], Step[218/526], Loss: 0.6827
Epoch [10/100], Step[219/526], Loss: 0.7066
Epoch [10/100], Step[220/526], Loss: 0.6648
Epoch [10/100], Step[221/526], Loss: 0.7288
Epoch [10/100], Step[222/526], Loss: 0.6435
Epoch [10/100], Step[223/526], Loss: 0.7034
Epoch [10/100], Step[224/526], Loss: 0.6972
Epoch [10/100], Step[225/526], Loss: 0.6673
Epoch [10/100], Step[226/526], Loss: 0.6922
Epoch [10/100], Step[227/526], Loss: 0.6740
Epoch [10/100], Step[228/526], Loss: 0.6794
Epoch [10/100], Step[229/526], Loss: 0.6947
Epoch [10/100], Step[230/526], Loss: 0.6669
Epoch [10/100], Step[231/526], Loss: 0.7045
Epoch [10/100], Step[232/526], Loss: 0.7499
Epoch [10/100], Step[233/526], Loss: 0.6717
Epoch [10/100], Step[234/526], Loss: 0.7021
Epoch [10/100], Step[235/526], Loss: 0.6804
Epoch [10/100], Step[236/526], Loss: 0.6806
Epoch [10/100], Step[237/526], Loss: 0.7234
Epoch [10/100], Step[238/526], Loss: 0.7026
Epoch [10/100], Step[239/526], Loss: 0.6851
Epoch [10/100], Step[240/526], Loss: 0.7103
Epoch [10/100], Step[241/526], Loss: 0.7018
Epoch [10/100], Step[242/526], Loss: 0.6931
Epoch [10/100], Step[243/526], Loss: 0.6627
Epoch [10/100], Step[244/526], Loss: 0.6466
Epoch [10/100], Step[245/526], Loss: 0.6567
Epoch [10/100], Step[246/526], Loss: 0.6692
Epoch [10/100], Step[247/526], Loss: 0.6395
Epoch [10/100], Step[248/526], Loss: 0.6496
Epoch [10/100], Step[249/526], Loss: 0.6529
Epoch [10/100], Step[250/526], Loss: 0.6797
Epoch [10/100], Step[251/526], Loss: 0.6898
Epoch [10/100], Step[252/526], Loss: 0.6970
Epoch [10/100], Step[253/526], Loss: 0.6529
Epoch [10/100], Step[254/526], Loss: 0.6799
Epoch [10/100], Step[255/526], Loss: 0.6285
Epoch [10/100], Step[256/526], Loss: 0.6963
Epoch [10/100], Step[257/526], Loss: 0.6440
Epoch [10/100], Step[258/526], Loss: 0.6408
Epoch [10/100], Step[259/526], Loss: 0.6995
Epoch [10/100], Step[260/526], Loss: 0.7256
Epoch [10/100], Step[261/526], Loss: 0.7248
Epoch [10/100], Step[262/526], Loss: 0.6655
Epoch [10/100], Step[263/526], Loss: 0.6598
Epoch [10/100], Step[264/526], Loss: 0.6439
Epoch [10/100], Step[265/526], Loss: 0.5987
Epoch [10/100], Step[266/526], Loss: 0.5999
Epoch [10/100], Step[267/526], Loss: 0.5090
Epoch [10/100], Step[268/526], Loss: 0.5765
Epoch [10/100], Step[269/526], Loss: 0.5034
Epoch [10/100], Step[270/526], Loss: 0.4577
Epoch [10/100], Step[271/526], Loss: 0.5461
Epoch [10/100], Step[272/526], Loss: 0.5505
Epoch [10/100], Step[273/526], Loss: 0.6175
Epoch [10/100], Step[274/526], Loss: 0.4966
Epoch [10/100], Step[275/526], Loss: 0.4723
Epoch [10/100], Step[276/526], Loss: 0.5182
Epoch [10/100], Step[277/526], Loss: 0.4761
Epoch [10/100], Step[278/526], Loss: 0.4949
Epoch [10/100], Step[279/526], Loss: 0.4525
Epoch [10/100], Step[280/526], Loss: 0.4880
Epoch [10/100], Step[281/526], Loss: 0.5923
Epoch [10/100], Step[282/526], Loss: 0.4083
Epoch [10/100], Step[283/526], Loss: 0.3841
Epoch [10/100], Step[284/526], Loss: 0.4340
Epoch [10/100], Step[285/526], Loss: 0.3403
Epoch [10/100], Step[286/526], Loss: 0.6571
Epoch [10/100], Step[287/526], Loss: 0.5082
Epoch [10/100], Step[288/526], Loss: 0.4591
Epoch [10/100], Step[289/526], Loss: 0.5950
Epoch [10/100], Step[290/526], Loss: 0.4495
Epoch [10/100], Step[291/526], Loss: 0.5056
Epoch [10/100], Step[292/526], Loss: 0.3215
Epoch [10/100], Step[293/526], Loss: 0.3366
Epoch [10/100], Step[294/526], Loss: 0.3761
Epoch [10/100], Step[295/526], Loss: 0.4352
Epoch [10/100], Step[296/526], Loss: 0.6069
Epoch [10/100], Step[297/526], Loss: 0.3170
Epoch [10/100], Step[298/526], Loss: 0.3577
Epoch [10/100], Step[299/526], Loss: 0.3016
Epoch [10/100], Step[300/526], Loss: 0.3540
Epoch [10/100], Step[301/526], Loss: 0.5808
Epoch [10/100], Step[302/526], Loss: 0.3458
Epoch [10/100], Step[303/526], Loss: 0.4987
Epoch [10/100], Step[304/526], Loss: 0.2878
Epoch [10/100], Step[305/526], Loss: 0.3290
Epoch [10/100], Step[306/526], Loss: 0.5947
Epoch [10/100], Step[307/526], Loss: 0.8570
Epoch [10/100], Step[308/526], Loss: 1.1736
Epoch [10/100], Step[309/526], Loss: 0.9281
Epoch [10/100], Step[310/526], Loss: 0.9105
Epoch [10/100], Step[311/526], Loss: 0.7992
Epoch [10/100], Step[312/526], Loss: 0.5124
Epoch [10/100], Step[313/526], Loss: 0.4913
Epoch [10/100], Step[314/526], Loss: 0.6232
Epoch [10/100], Step[315/526], Loss: 0.7086
Epoch [10/100], Step[316/526], Loss: 0.5186
Epoch [10/100], Step[317/526], Loss: 0.3109
Epoch [10/100], Step[318/526], Loss: 0.7147
Epoch [10/100], Step[319/526], Loss: 0.3769
Epoch [10/100], Step[320/526], Loss: 0.5824
Epoch [10/100], Step[321/526], Loss: 0.7603
Epoch [10/100], Step[322/526], Loss: 0.2878
Epoch [10/100], Step[323/526], Loss: 0.5906
Epoch [10/100], Step[324/526], Loss: 0.6815
Epoch [10/100], Step[325/526], Loss: 0.5934
Epoch [10/100], Step[326/526], Loss: 0.8037
Epoch [10/100], Step[327/526], Loss: 0.7734
Epoch [10/100], Step[328/526], Loss: 0.8628
Epoch [10/100], Step[329/526], Loss: 1.1581
Epoch [10/100], Step[330/526], Loss: 0.8860
Epoch [10/100], Step[331/526], Loss: 0.8615
Epoch [10/100], Step[332/526], Loss: 0.9000
Epoch [10/100], Step[333/526], Loss: 0.7621
Epoch [10/100], Step[334/526], Loss: 0.8270
Epoch [10/100], Step[335/526], Loss: 0.8592
Epoch [10/100], Step[336/526], Loss: 0.6639
Epoch [10/100], Step[337/526], Loss: 0.6081
Epoch [10/100], Step[338/526], Loss: 0.7156
Epoch [10/100], Step[339/526], Loss: 0.6628
Epoch [10/100], Step[340/526], Loss: 0.7449
Epoch [10/100], Step[341/526], Loss: 0.8125
Epoch [10/100], Step[342/526], Loss: 0.8314
Epoch [10/100], Step[343/526], Loss: 0.5703
Epoch [10/100], Step[344/526], Loss: 0.7501
Epoch [10/100], Step[345/526], Loss: 0.6750
Epoch [10/100], Step[346/526], Loss: 0.6974
Epoch [10/100], Step[347/526], Loss: 0.6996
Epoch [10/100], Step[348/526], Loss: 0.6596
Epoch [10/100], Step[349/526], Loss: 0.5695
Epoch [10/100], Step[350/526], Loss: 0.6890
Epoch [10/100], Step[351/526], Loss: 0.7515
Epoch [10/100], Step[352/526], Loss: 0.5952
Epoch [10/100], Step[353/526], Loss: 0.7365
Epoch [10/100], Step[354/526], Loss: 0.6705
Epoch [10/100], Step[355/526], Loss: 0.7044
Epoch [10/100], Step[356/526], Loss: 0.7164
Epoch [10/100], Step[357/526], Loss: 0.6569
Epoch [10/100], Step[358/526], Loss: 0.6878
Epoch [10/100], Step[359/526], Loss: 0.6780
Epoch [10/100], Step[360/526], Loss: 0.6743
Epoch [10/100], Step[361/526], Loss: 0.8353
Epoch [10/100], Step[362/526], Loss: 0.7864
Epoch [10/100], Step[363/526], Loss: 0.6846
Epoch [10/100], Step[364/526], Loss: 0.7212
Epoch [10/100], Step[365/526], Loss: 0.7225
Epoch [10/100], Step[366/526], Loss: 0.6825
Epoch [10/100], Step[367/526], Loss: 0.6858
Epoch [10/100], Step[368/526], Loss: 0.6628
Epoch [10/100], Step[369/526], Loss: 0.6691
Epoch [10/100], Step[370/526], Loss: 0.6009
Epoch [10/100], Step[371/526], Loss: 0.7533
Epoch [10/100], Step[372/526], Loss: 0.6520
Epoch [10/100], Step[373/526], Loss: 0.6864
Epoch [10/100], Step[374/526], Loss: 0.6973
Epoch [10/100], Step[375/526], Loss: 0.6737
Epoch [10/100], Step[376/526], Loss: 0.6807
Epoch [10/100], Step[377/526], Loss: 0.6944
Epoch [10/100], Step[378/526], Loss: 0.7135
Epoch [10/100], Step[379/526], Loss: 0.7196
Epoch [10/100], Step[380/526], Loss: 0.6137
Epoch [10/100], Step[381/526], Loss: 0.6087
Epoch [10/100], Step[382/526], Loss: 0.6780
Epoch [10/100], Step[383/526], Loss: 0.6738
Epoch [10/100], Step[384/526], Loss: 0.6538
Epoch [10/100], Step[385/526], Loss: 0.6330
Epoch [10/100], Step[386/526], Loss: 0.6769
Epoch [10/100], Step[387/526], Loss: 0.6588
Epoch [10/100], Step[388/526], Loss: 0.5996
Epoch [10/100], Step[389/526], Loss: 0.7030
Epoch [10/100], Step[390/526], Loss: 0.6186
Epoch [10/100], Step[391/526], Loss: 0.6575
Epoch [10/100], Step[392/526], Loss: 0.6958
Epoch [10/100], Step[393/526], Loss: 0.6156
Epoch [10/100], Step[394/526], Loss: 0.5223
Epoch [10/100], Step[395/526], Loss: 0.6499
Epoch [10/100], Step[396/526], Loss: 0.6326
Epoch [10/100], Step[397/526], Loss: 0.4814
Epoch [10/100], Step[398/526], Loss: 0.5971
Epoch [10/100], Step[399/526], Loss: 0.6457
Epoch [10/100], Step[400/526], Loss: 0.4832
Epoch [10/100], Step[401/526], Loss: 0.5763
Epoch [10/100], Step[402/526], Loss: 0.6081
Epoch [10/100], Step[403/526], Loss: 0.6999
Epoch [10/100], Step[404/526], Loss: 0.5035
Epoch [10/100], Step[405/526], Loss: 0.5090
Epoch [10/100], Step[406/526], Loss: 0.6668
Epoch [10/100], Step[407/526], Loss: 0.7297
Epoch [10/100], Step[408/526], Loss: 0.6459
Epoch [10/100], Step[409/526], Loss: 0.4427
Epoch [10/100], Step[410/526], Loss: 0.4809
Epoch [10/100], Step[411/526], Loss: 0.5310
Epoch [10/100], Step[412/526], Loss: 0.5785
Epoch [10/100], Step[413/526], Loss: 0.5871
Epoch [10/100], Step[414/526], Loss: 0.6375
Epoch [10/100], Step[415/526], Loss: 0.6159
Epoch [10/100], Step[416/526], Loss: 0.5447
Epoch [10/100], Step[417/526], Loss: 0.4845
Epoch [10/100], Step[418/526], Loss: 0.7626
Epoch [10/100], Step[419/526], Loss: 0.7213
Epoch [10/100], Step[420/526], Loss: 0.6822
Epoch [10/100], Step[421/526], Loss: 0.6202
Epoch [10/100], Step[422/526], Loss: 0.7847
Epoch [10/100], Step[423/526], Loss: 0.7114
Epoch [10/100], Step[424/526], Loss: 0.7345
Epoch [10/100], Step[425/526], Loss: 0.7042
Epoch [10/100], Step[426/526], Loss: 0.7712
Epoch [10/100], Step[427/526], Loss: 0.6652
Epoch [10/100], Step[428/526], Loss: 0.7024
Epoch [10/100], Step[429/526], Loss: 0.7358
Epoch [10/100], Step[430/526], Loss: 0.8251
Epoch [10/100], Step[431/526], Loss: 0.7319
Epoch [10/100], Step[432/526], Loss: 0.7600
Epoch [10/100], Step[433/526], Loss: 0.7049
Epoch [10/100], Step[434/526], Loss: 0.6250
Epoch [10/100], Step[435/526], Loss: 0.7870
Epoch [10/100], Step[436/526], Loss: 0.7864
Epoch [10/100], Step[437/526], Loss: 0.5401
Epoch [10/100], Step[438/526], Loss: 0.3720
Epoch [10/100], Step[439/526], Loss: 0.7552
Epoch [10/100], Step[440/526], Loss: 0.6872
Epoch [10/100], Step[441/526], Loss: 0.6992
Epoch [10/100], Step[442/526], Loss: 0.6425
Epoch [10/100], Step[443/526], Loss: 0.6725
Epoch [10/100], Step[444/526], Loss: 0.7565
Epoch [10/100], Step[445/526], Loss: 0.6888
Epoch [10/100], Step[446/526], Loss: 0.7314
Epoch [10/100], Step[447/526], Loss: 0.7121
Epoch [10/100], Step[448/526], Loss: 0.8240
Epoch [10/100], Step[449/526], Loss: 0.7363
Epoch [10/100], Step[450/526], Loss: 0.6105
Epoch [10/100], Step[451/526], Loss: 0.5996
Epoch [10/100], Step[452/526], Loss: 0.7351
Epoch [10/100], Step[453/526], Loss: 0.7470
Epoch [10/100], Step[454/526], Loss: 0.8339
Epoch [10/100], Step[455/526], Loss: 0.6742
Epoch [10/100], Step[456/526], Loss: 0.6421
Epoch [10/100], Step[457/526], Loss: 0.6878
Epoch [10/100], Step[458/526], Loss: 0.6632
Epoch [10/100], Step[459/526], Loss: 0.6780
Epoch [10/100], Step[460/526], Loss: 0.6688
Epoch [10/100], Step[461/526], Loss: 0.6417
Epoch [10/100], Step[462/526], Loss: 0.6737
Epoch [10/100], Step[463/526], Loss: 0.6503
Epoch [10/100], Step[464/526], Loss: 0.6624
Epoch [10/100], Step[465/526], Loss: 0.6753
Epoch [10/100], Step[466/526], Loss: 0.6601
Epoch [10/100], Step[467/526], Loss: 0.6593
Epoch [10/100], Step[468/526], Loss: 0.6463
Epoch [10/100], Step[469/526], Loss: 0.7769
Epoch [10/100], Step[470/526], Loss: 0.6677
Epoch [10/100], Step[471/526], Loss: 0.7022
Epoch [10/100], Step[472/526], Loss: 0.6785
Epoch [10/100], Step[473/526], Loss: 0.6752
Epoch [10/100], Step[474/526], Loss: 0.6727
Epoch [10/100], Step[475/526], Loss: 0.7602
Epoch [10/100], Step[476/526], Loss: 0.7698
Epoch [10/100], Step[477/526], Loss: 0.7019
Epoch [10/100], Step[478/526], Loss: 0.7003
Epoch [10/100], Step[479/526], Loss: 0.6752
Epoch [10/100], Step[480/526], Loss: 0.7345
Epoch [10/100], Step[481/526], Loss: 0.6928
Epoch [10/100], Step[482/526], Loss: 0.6410
Epoch [10/100], Step[483/526], Loss: 0.5715
Epoch [10/100], Step[484/526], Loss: 0.6762
Epoch [10/100], Step[485/526], Loss: 0.7696
Epoch [10/100], Step[486/526], Loss: 0.6963
Epoch [10/100], Step[487/526], Loss: 0.7174
Epoch [10/100], Step[488/526], Loss: 0.6994
Epoch [10/100], Step[489/526], Loss: 0.6648
Epoch [10/100], Step[490/526], Loss: 0.6327
Epoch [10/100], Step[491/526], Loss: 0.6899
Epoch [10/100], Step[492/526], Loss: 0.6770
Epoch [10/100], Step[493/526], Loss: 0.6778
Epoch [10/100], Step[494/526], Loss: 0.6479
Epoch [10/100], Step[495/526], Loss: 0.6855
Epoch [10/100], Step[496/526], Loss: 0.6779
Epoch [10/100], Step[497/526], Loss: 0.6491
Epoch [10/100], Step[498/526], Loss: 0.6870
Epoch [10/100], Step[499/526], Loss: 0.6838
Epoch [10/100], Step[500/526], Loss: 0.6814
Epoch [10/100], Step[501/526], Loss: 0.6651
Epoch [10/100], Step[502/526], Loss: 0.6906
Epoch [10/100], Step[503/526], Loss: 0.7034
Epoch [10/100], Step[504/526], Loss: 0.6869
Epoch [10/100], Step[505/526], Loss: 0.7048
Epoch [10/100], Step[506/526], Loss: 0.6905
Epoch [10/100], Step[507/526], Loss: 0.6752
Epoch [10/100], Step[508/526], Loss: 0.7009
Epoch [10/100], Step[509/526], Loss: 0.6674
Epoch [10/100], Step[510/526], Loss: 0.6978
Epoch [10/100], Step[511/526], Loss: 0.6473
Epoch [10/100], Step[512/526], Loss: 0.6723
Epoch [10/100], Step[513/526], Loss: 0.6677
Epoch [10/100], Step[514/526], Loss: 0.6491
Epoch [10/100], Step[515/526], Loss: 0.5950
Epoch [10/100], Step[516/526], Loss: 0.7356
Epoch [10/100], Step[517/526], Loss: 0.6734
Epoch [10/100], Step[518/526], Loss: 0.7079
Epoch [10/100], Step[519/526], Loss: 0.7092
Epoch [10/100], Step[520/526], Loss: 0.6802
Epoch [10/100], Step[521/526], Loss: 0.6512
Epoch [10/100], Step[522/526], Loss: 0.6444
Epoch [10/100], Step[523/526], Loss: 0.6597
Epoch [10/100], Step[524/526], Loss: 0.6596
Epoch [10/100], Step[525/526], Loss: 0.7344
Epoch [10/100], Step[526/526], Loss: 0.6759
Epoch [11/100], Step[1/526], Loss: 0.6627
Epoch [11/100], Step[2/526], Loss: 0.6538
Epoch [11/100], Step[3/526], Loss: 0.6748
Epoch [11/100], Step[4/526], Loss: 0.6459
Epoch [11/100], Step[5/526], Loss: 0.7238
Epoch [11/100], Step[6/526], Loss: 0.7209
Epoch [11/100], Step[7/526], Loss: 0.7031
Epoch [11/100], Step[8/526], Loss: 0.6911
Epoch [11/100], Step[9/526], Loss: 0.7093
Epoch [11/100], Step[10/526], Loss: 0.6952
Epoch [11/100], Step[11/526], Loss: 0.6640
Epoch [11/100], Step[12/526], Loss: 0.7154
Epoch [11/100], Step[13/526], Loss: 0.6442
Epoch [11/100], Step[14/526], Loss: 0.6676
Epoch [11/100], Step[15/526], Loss: 0.6900
Epoch [11/100], Step[16/526], Loss: 0.6988
Epoch [11/100], Step[17/526], Loss: 0.6866
Epoch [11/100], Step[18/526], Loss: 0.7060
Epoch [11/100], Step[19/526], Loss: 0.6747
Epoch [11/100], Step[20/526], Loss: 0.7194
Epoch [11/100], Step[21/526], Loss: 0.7249
Epoch [11/100], Step[22/526], Loss: 0.7126
Epoch [11/100], Step[23/526], Loss: 0.7326
Epoch [11/100], Step[24/526], Loss: 0.7106
Epoch [11/100], Step[25/526], Loss: 0.6907
Epoch [11/100], Step[26/526], Loss: 0.6435
Epoch [11/100], Step[27/526], Loss: 0.6934
Epoch [11/100], Step[28/526], Loss: 0.6968
Epoch [11/100], Step[29/526], Loss: 0.6624
Epoch [11/100], Step[30/526], Loss: 0.6821
Epoch [11/100], Step[31/526], Loss: 0.7077
Epoch [11/100], Step[32/526], Loss: 0.6797
Epoch [11/100], Step[33/526], Loss: 0.7146
Epoch [11/100], Step[34/526], Loss: 0.6799
Epoch [11/100], Step[35/526], Loss: 0.7064
Epoch [11/100], Step[36/526], Loss: 0.6973
Epoch [11/100], Step[37/526], Loss: 0.6952
Epoch [11/100], Step[38/526], Loss: 0.6840
Epoch [11/100], Step[39/526], Loss: 0.7159
Epoch [11/100], Step[40/526], Loss: 0.7228
Epoch [11/100], Step[41/526], Loss: 0.6528
Epoch [11/100], Step[42/526], Loss: 0.7210
Epoch [11/100], Step[43/526], Loss: 0.7128
Epoch [11/100], Step[44/526], Loss: 0.6846
Epoch [11/100], Step[45/526], Loss: 0.6779
Epoch [11/100], Step[46/526], Loss: 0.6822
Epoch [11/100], Step[47/526], Loss: 0.7094
Epoch [11/100], Step[48/526], Loss: 0.7114
Epoch [11/100], Step[49/526], Loss: 0.6973
Epoch [11/100], Step[50/526], Loss: 0.7129
Epoch [11/100], Step[51/526], Loss: 0.6977
Epoch [11/100], Step[52/526], Loss: 0.6932
Epoch [11/100], Step[53/526], Loss: 0.7172
Epoch [11/100], Step[54/526], Loss: 0.6951
Epoch [11/100], Step[55/526], Loss: 0.6957
Epoch [11/100], Step[56/526], Loss: 0.6948
Epoch [11/100], Step[57/526], Loss: 0.6895
Epoch [11/100], Step[58/526], Loss: 0.6762
Epoch [11/100], Step[59/526], Loss: 0.6852
Epoch [11/100], Step[60/526], Loss: 0.6701
Epoch [11/100], Step[61/526], Loss: 0.6544
Epoch [11/100], Step[62/526], Loss: 0.6981
Epoch [11/100], Step[63/526], Loss: 0.6868
Epoch [11/100], Step[64/526], Loss: 0.6799
Epoch [11/100], Step[65/526], Loss: 0.7021
Epoch [11/100], Step[66/526], Loss: 0.6788
Epoch [11/100], Step[67/526], Loss: 0.6703
Epoch [11/100], Step[68/526], Loss: 0.6603
Epoch [11/100], Step[69/526], Loss: 0.7039
Epoch [11/100], Step[70/526], Loss: 0.6866
Epoch [11/100], Step[71/526], Loss: 0.6675
Epoch [11/100], Step[72/526], Loss: 0.6742
Epoch [11/100], Step[73/526], Loss: 0.7014
Epoch [11/100], Step[74/526], Loss: 0.6711
Epoch [11/100], Step[75/526], Loss: 0.7132
Epoch [11/100], Step[76/526], Loss: 0.6980
Epoch [11/100], Step[77/526], Loss: 0.6795
Epoch [11/100], Step[78/526], Loss: 0.7027
Epoch [11/100], Step[79/526], Loss: 0.6980
Epoch [11/100], Step[80/526], Loss: 0.6988
Epoch [11/100], Step[81/526], Loss: 0.6987
Epoch [11/100], Step[82/526], Loss: 0.7304
Epoch [11/100], Step[83/526], Loss: 0.7168
Epoch [11/100], Step[84/526], Loss: 0.6924
Epoch [11/100], Step[85/526], Loss: 0.6712
Epoch [11/100], Step[86/526], Loss: 0.7047
Epoch [11/100], Step[87/526], Loss: 0.6870
Epoch [11/100], Step[88/526], Loss: 0.6796
Epoch [11/100], Step[89/526], Loss: 0.7132
Epoch [11/100], Step[90/526], Loss: 0.6939
Epoch [11/100], Step[91/526], Loss: 0.6723
Epoch [11/100], Step[92/526], Loss: 0.6787
Epoch [11/100], Step[93/526], Loss: 0.6740
Epoch [11/100], Step[94/526], Loss: 0.7673
Epoch [11/100], Step[95/526], Loss: 0.7090
Epoch [11/100], Step[96/526], Loss: 0.6388
Epoch [11/100], Step[97/526], Loss: 0.6196
Epoch [11/100], Step[98/526], Loss: 0.6980
Epoch [11/100], Step[99/526], Loss: 0.6805
Epoch [11/100], Step[100/526], Loss: 0.6795
Epoch [11/100], Step[101/526], Loss: 0.6626
Epoch [11/100], Step[102/526], Loss: 0.6500
Epoch [11/100], Step[103/526], Loss: 0.6585
Epoch [11/100], Step[104/526], Loss: 0.6423
Epoch [11/100], Step[105/526], Loss: 0.6518
Epoch [11/100], Step[106/526], Loss: 0.6575
Epoch [11/100], Step[107/526], Loss: 0.6510
Epoch [11/100], Step[108/526], Loss: 0.5865
Epoch [11/100], Step[109/526], Loss: 0.6742
Epoch [11/100], Step[110/526], Loss: 0.6911
Epoch [11/100], Step[111/526], Loss: 0.6105
Epoch [11/100], Step[112/526], Loss: 0.7074
Epoch [11/100], Step[113/526], Loss: 0.6219
Epoch [11/100], Step[114/526], Loss: 0.6773
Epoch [11/100], Step[115/526], Loss: 0.6321
Epoch [11/100], Step[116/526], Loss: 0.5881
Epoch [11/100], Step[117/526], Loss: 0.6063
Epoch [11/100], Step[118/526], Loss: 0.7321
Epoch [11/100], Step[119/526], Loss: 0.6728
Epoch [11/100], Step[120/526], Loss: 0.6637
Epoch [11/100], Step[121/526], Loss: 0.6718
Epoch [11/100], Step[122/526], Loss: 0.6476
Epoch [11/100], Step[123/526], Loss: 0.6694
Epoch [11/100], Step[124/526], Loss: 0.6778
Epoch [11/100], Step[125/526], Loss: 0.6339
Epoch [11/100], Step[126/526], Loss: 0.6872
Epoch [11/100], Step[127/526], Loss: 0.6838
Epoch [11/100], Step[128/526], Loss: 0.6373
Epoch [11/100], Step[129/526], Loss: 0.5671
Epoch [11/100], Step[130/526], Loss: 0.5850
Epoch [11/100], Step[131/526], Loss: 0.6909
Epoch [11/100], Step[132/526], Loss: 0.7281
Epoch [11/100], Step[133/526], Loss: 0.6749
Epoch [11/100], Step[134/526], Loss: 0.6288
Epoch [11/100], Step[135/526], Loss: 0.6513
Epoch [11/100], Step[136/526], Loss: 0.5710
Epoch [11/100], Step[137/526], Loss: 0.5908
Epoch [11/100], Step[138/526], Loss: 0.6379
Epoch [11/100], Step[139/526], Loss: 0.7209
Epoch [11/100], Step[140/526], Loss: 0.5813
Epoch [11/100], Step[141/526], Loss: 0.6628
Epoch [11/100], Step[142/526], Loss: 0.6641
Epoch [11/100], Step[143/526], Loss: 0.6868
Epoch [11/100], Step[144/526], Loss: 0.8235
Epoch [11/100], Step[145/526], Loss: 0.5735
Epoch [11/100], Step[146/526], Loss: 0.5064
Epoch [11/100], Step[147/526], Loss: 0.4818
Epoch [11/100], Step[148/526], Loss: 0.5873
Epoch [11/100], Step[149/526], Loss: 0.4945
Epoch [11/100], Step[150/526], Loss: 0.5844
Epoch [11/100], Step[151/526], Loss: 0.5431
Epoch [11/100], Step[152/526], Loss: 0.6417
Epoch [11/100], Step[153/526], Loss: 0.6005
Epoch [11/100], Step[154/526], Loss: 0.7379
Epoch [11/100], Step[155/526], Loss: 0.6489
Epoch [11/100], Step[156/526], Loss: 0.5193
Epoch [11/100], Step[157/526], Loss: 0.2870
Epoch [11/100], Step[158/526], Loss: 0.5723
Epoch [11/100], Step[159/526], Loss: 0.6570
Epoch [11/100], Step[160/526], Loss: 0.5605
Epoch [11/100], Step[161/526], Loss: 1.3090
Epoch [11/100], Step[162/526], Loss: 0.6990
Epoch [11/100], Step[163/526], Loss: 0.7532
Epoch [11/100], Step[164/526], Loss: 0.6244
Epoch [11/100], Step[165/526], Loss: 0.7206
Epoch [11/100], Step[166/526], Loss: 0.4788
Epoch [11/100], Step[167/526], Loss: 0.5464
Epoch [11/100], Step[168/526], Loss: 0.7744
Epoch [11/100], Step[169/526], Loss: 0.8160
Epoch [11/100], Step[170/526], Loss: 0.7377
Epoch [11/100], Step[171/526], Loss: 0.7426
Epoch [11/100], Step[172/526], Loss: 0.7205
Epoch [11/100], Step[173/526], Loss: 0.8317
Epoch [11/100], Step[174/526], Loss: 0.6390
Epoch [11/100], Step[175/526], Loss: 0.6437
Epoch [11/100], Step[176/526], Loss: 0.6457
Epoch [11/100], Step[177/526], Loss: 0.6783
Epoch [11/100], Step[178/526], Loss: 0.7185
Epoch [11/100], Step[179/526], Loss: 0.6521
Epoch [11/100], Step[180/526], Loss: 0.6845
Epoch [11/100], Step[181/526], Loss: 0.6257
Epoch [11/100], Step[182/526], Loss: 0.6866
Epoch [11/100], Step[183/526], Loss: 0.5153
Epoch [11/100], Step[184/526], Loss: 0.5948
Epoch [11/100], Step[185/526], Loss: 0.5857
Epoch [11/100], Step[186/526], Loss: 0.6524
Epoch [11/100], Step[187/526], Loss: 0.7253
Epoch [11/100], Step[188/526], Loss: 0.7189
Epoch [11/100], Step[189/526], Loss: 0.6772
Epoch [11/100], Step[190/526], Loss: 0.6138
Epoch [11/100], Step[191/526], Loss: 0.7688
Epoch [11/100], Step[192/526], Loss: 0.8172
Epoch [11/100], Step[193/526], Loss: 0.6741
Epoch [11/100], Step[194/526], Loss: 0.6599
Epoch [11/100], Step[195/526], Loss: 0.6515
Epoch [11/100], Step[196/526], Loss: 0.7486
Epoch [11/100], Step[197/526], Loss: 0.7227
Epoch [11/100], Step[198/526], Loss: 0.6127
Epoch [11/100], Step[199/526], Loss: 0.7059
Epoch [11/100], Step[200/526], Loss: 0.6529
Epoch [11/100], Step[201/526], Loss: 0.6972
Epoch [11/100], Step[202/526], Loss: 0.8086
Epoch [11/100], Step[203/526], Loss: 0.6708
Epoch [11/100], Step[204/526], Loss: 0.8000
Epoch [11/100], Step[205/526], Loss: 0.7425
Epoch [11/100], Step[206/526], Loss: 0.6765
Epoch [11/100], Step[207/526], Loss: 0.7169
Epoch [11/100], Step[208/526], Loss: 0.6753
Epoch [11/100], Step[209/526], Loss: 0.6902
Epoch [11/100], Step[210/526], Loss: 0.6885
Epoch [11/100], Step[211/526], Loss: 0.6405
Epoch [11/100], Step[212/526], Loss: 0.6839
Epoch [11/100], Step[213/526], Loss: 0.7278
Epoch [11/100], Step[214/526], Loss: 0.7115
Epoch [11/100], Step[215/526], Loss: 0.7176
Epoch [11/100], Step[216/526], Loss: 0.6915
Epoch [11/100], Step[217/526], Loss: 0.6973
Epoch [11/100], Step[218/526], Loss: 0.6838
Epoch [11/100], Step[219/526], Loss: 0.7101
Epoch [11/100], Step[220/526], Loss: 0.6703
Epoch [11/100], Step[221/526], Loss: 0.7310
Epoch [11/100], Step[222/526], Loss: 0.6516
Epoch [11/100], Step[223/526], Loss: 0.7058
Epoch [11/100], Step[224/526], Loss: 0.6952
Epoch [11/100], Step[225/526], Loss: 0.6793
Epoch [11/100], Step[226/526], Loss: 0.6931
Epoch [11/100], Step[227/526], Loss: 0.6704
Epoch [11/100], Step[228/526], Loss: 0.6717
Epoch [11/100], Step[229/526], Loss: 0.6924
Epoch [11/100], Step[230/526], Loss: 0.6632
Epoch [11/100], Step[231/526], Loss: 0.7014
Epoch [11/100], Step[232/526], Loss: 0.7512
Epoch [11/100], Step[233/526], Loss: 0.6726
Epoch [11/100], Step[234/526], Loss: 0.7000
Epoch [11/100], Step[235/526], Loss: 0.6789
Epoch [11/100], Step[236/526], Loss: 0.6820
Epoch [11/100], Step[237/526], Loss: 0.7277
Epoch [11/100], Step[238/526], Loss: 0.7015
Epoch [11/100], Step[239/526], Loss: 0.6818
Epoch [11/100], Step[240/526], Loss: 0.7134
Epoch [11/100], Step[241/526], Loss: 0.6970
Epoch [11/100], Step[242/526], Loss: 0.6934
Epoch [11/100], Step[243/526], Loss: 0.6635
Epoch [11/100], Step[244/526], Loss: 0.6449
Epoch [11/100], Step[245/526], Loss: 0.6558
Epoch [11/100], Step[246/526], Loss: 0.6691
Epoch [11/100], Step[247/526], Loss: 0.6355
Epoch [11/100], Step[248/526], Loss: 0.6474
Epoch [11/100], Step[249/526], Loss: 0.6518
Epoch [11/100], Step[250/526], Loss: 0.6782
Epoch [11/100], Step[251/526], Loss: 0.6893
Epoch [11/100], Step[252/526], Loss: 0.6971
Epoch [11/100], Step[253/526], Loss: 0.6487
Epoch [11/100], Step[254/526], Loss: 0.6805
Epoch [11/100], Step[255/526], Loss: 0.6246
Epoch [11/100], Step[256/526], Loss: 0.6926
Epoch [11/100], Step[257/526], Loss: 0.6462
Epoch [11/100], Step[258/526], Loss: 0.6545
Epoch [11/100], Step[259/526], Loss: 0.6959
Epoch [11/100], Step[260/526], Loss: 0.7126
Epoch [11/100], Step[261/526], Loss: 0.7178
Epoch [11/100], Step[262/526], Loss: 0.6687
Epoch [11/100], Step[263/526], Loss: 0.6587
Epoch [11/100], Step[264/526], Loss: 0.6438
Epoch [11/100], Step[265/526], Loss: 0.6218
Epoch [11/100], Step[266/526], Loss: 0.6132
Epoch [11/100], Step[267/526], Loss: 0.5144
Epoch [11/100], Step[268/526], Loss: 0.5946
Epoch [11/100], Step[269/526], Loss: 0.5154
Epoch [11/100], Step[270/526], Loss: 0.4747
Epoch [11/100], Step[271/526], Loss: 0.5596
Epoch [11/100], Step[272/526], Loss: 0.5479
Epoch [11/100], Step[273/526], Loss: 0.6186
Epoch [11/100], Step[274/526], Loss: 0.5107
Epoch [11/100], Step[275/526], Loss: 0.4803
Epoch [11/100], Step[276/526], Loss: 0.5247
Epoch [11/100], Step[277/526], Loss: 0.4698
Epoch [11/100], Step[278/526], Loss: 0.5030
Epoch [11/100], Step[279/526], Loss: 0.4619
Epoch [11/100], Step[280/526], Loss: 0.4869
Epoch [11/100], Step[281/526], Loss: 0.5943
Epoch [11/100], Step[282/526], Loss: 0.4156
Epoch [11/100], Step[283/526], Loss: 0.3875
Epoch [11/100], Step[284/526], Loss: 0.4370
Epoch [11/100], Step[285/526], Loss: 0.3346
Epoch [11/100], Step[286/526], Loss: 0.6576
Epoch [11/100], Step[287/526], Loss: 0.5020
Epoch [11/100], Step[288/526], Loss: 0.4505
Epoch [11/100], Step[289/526], Loss: 0.5913
Epoch [11/100], Step[290/526], Loss: 0.4492
Epoch [11/100], Step[291/526], Loss: 0.4987
Epoch [11/100], Step[292/526], Loss: 0.3125
Epoch [11/100], Step[293/526], Loss: 0.3319
Epoch [11/100], Step[294/526], Loss: 0.3668
Epoch [11/100], Step[295/526], Loss: 0.4311
Epoch [11/100], Step[296/526], Loss: 0.6062
Epoch [11/100], Step[297/526], Loss: 0.3066
Epoch [11/100], Step[298/526], Loss: 0.3463
Epoch [11/100], Step[299/526], Loss: 0.2949
Epoch [11/100], Step[300/526], Loss: 0.3499
Epoch [11/100], Step[301/526], Loss: 0.5826
Epoch [11/100], Step[302/526], Loss: 0.3364
Epoch [11/100], Step[303/526], Loss: 0.4956
Epoch [11/100], Step[304/526], Loss: 0.2835
Epoch [11/100], Step[305/526], Loss: 0.3166
Epoch [11/100], Step[306/526], Loss: 0.5863
Epoch [11/100], Step[307/526], Loss: 0.8574
Epoch [11/100], Step[308/526], Loss: 1.2045
Epoch [11/100], Step[309/526], Loss: 0.9378
Epoch [11/100], Step[310/526], Loss: 0.9266
Epoch [11/100], Step[311/526], Loss: 0.8066
Epoch [11/100], Step[312/526], Loss: 0.5070
Epoch [11/100], Step[313/526], Loss: 0.4832
Epoch [11/100], Step[314/526], Loss: 0.6249
Epoch [11/100], Step[315/526], Loss: 0.7151
Epoch [11/100], Step[316/526], Loss: 0.5165
Epoch [11/100], Step[317/526], Loss: 0.3068
Epoch [11/100], Step[318/526], Loss: 0.7193
Epoch [11/100], Step[319/526], Loss: 0.3763
Epoch [11/100], Step[320/526], Loss: 0.5801
Epoch [11/100], Step[321/526], Loss: 0.7719
Epoch [11/100], Step[322/526], Loss: 0.2877
Epoch [11/100], Step[323/526], Loss: 0.5903
Epoch [11/100], Step[324/526], Loss: 0.6839
Epoch [11/100], Step[325/526], Loss: 0.5891
Epoch [11/100], Step[326/526], Loss: 0.8102
Epoch [11/100], Step[327/526], Loss: 0.7660
Epoch [11/100], Step[328/526], Loss: 0.8720
Epoch [11/100], Step[329/526], Loss: 1.1566
Epoch [11/100], Step[330/526], Loss: 0.8966
Epoch [11/100], Step[331/526], Loss: 0.8610
Epoch [11/100], Step[332/526], Loss: 0.8974
Epoch [11/100], Step[333/526], Loss: 0.7644
Epoch [11/100], Step[334/526], Loss: 0.8240
Epoch [11/100], Step[335/526], Loss: 0.8660
Epoch [11/100], Step[336/526], Loss: 0.6694
Epoch [11/100], Step[337/526], Loss: 0.6049
Epoch [11/100], Step[338/526], Loss: 0.7186
Epoch [11/100], Step[339/526], Loss: 0.6632
Epoch [11/100], Step[340/526], Loss: 0.7449
Epoch [11/100], Step[341/526], Loss: 0.8182
Epoch [11/100], Step[342/526], Loss: 0.8303
Epoch [11/100], Step[343/526], Loss: 0.5662
Epoch [11/100], Step[344/526], Loss: 0.7489
Epoch [11/100], Step[345/526], Loss: 0.6706
Epoch [11/100], Step[346/526], Loss: 0.6941
Epoch [11/100], Step[347/526], Loss: 0.6988
Epoch [11/100], Step[348/526], Loss: 0.6565
Epoch [11/100], Step[349/526], Loss: 0.5671
Epoch [11/100], Step[350/526], Loss: 0.6870
Epoch [11/100], Step[351/526], Loss: 0.7475
Epoch [11/100], Step[352/526], Loss: 0.5947
Epoch [11/100], Step[353/526], Loss: 0.7287
Epoch [11/100], Step[354/526], Loss: 0.6708
Epoch [11/100], Step[355/526], Loss: 0.6998
Epoch [11/100], Step[356/526], Loss: 0.7160
Epoch [11/100], Step[357/526], Loss: 0.6565
Epoch [11/100], Step[358/526], Loss: 0.6897
Epoch [11/100], Step[359/526], Loss: 0.6747
Epoch [11/100], Step[360/526], Loss: 0.6722
Epoch [11/100], Step[361/526], Loss: 0.8239
Epoch [11/100], Step[362/526], Loss: 0.7683
Epoch [11/100], Step[363/526], Loss: 0.6840
Epoch [11/100], Step[364/526], Loss: 0.7257
Epoch [11/100], Step[365/526], Loss: 0.7255
Epoch [11/100], Step[366/526], Loss: 0.6832
Epoch [11/100], Step[367/526], Loss: 0.6853
Epoch [11/100], Step[368/526], Loss: 0.6596
Epoch [11/100], Step[369/526], Loss: 0.6675
Epoch [11/100], Step[370/526], Loss: 0.6117
Epoch [11/100], Step[371/526], Loss: 0.7538
Epoch [11/100], Step[372/526], Loss: 0.6495
Epoch [11/100], Step[373/526], Loss: 0.6848
Epoch [11/100], Step[374/526], Loss: 0.6975
Epoch [11/100], Step[375/526], Loss: 0.6684
Epoch [11/100], Step[376/526], Loss: 0.6728
Epoch [11/100], Step[377/526], Loss: 0.6891
Epoch [11/100], Step[378/526], Loss: 0.7119
Epoch [11/100], Step[379/526], Loss: 0.7227
Epoch [11/100], Step[380/526], Loss: 0.6117
Epoch [11/100], Step[381/526], Loss: 0.6066
Epoch [11/100], Step[382/526], Loss: 0.6783
Epoch [11/100], Step[383/526], Loss: 0.6758
Epoch [11/100], Step[384/526], Loss: 0.6511
Epoch [11/100], Step[385/526], Loss: 0.6321
Epoch [11/100], Step[386/526], Loss: 0.6736
Epoch [11/100], Step[387/526], Loss: 0.6587
Epoch [11/100], Step[388/526], Loss: 0.6013
Epoch [11/100], Step[389/526], Loss: 0.7057
Epoch [11/100], Step[390/526], Loss: 0.6187
Epoch [11/100], Step[391/526], Loss: 0.6553
Epoch [11/100], Step[392/526], Loss: 0.6970
Epoch [11/100], Step[393/526], Loss: 0.6121
Epoch [11/100], Step[394/526], Loss: 0.5242
Epoch [11/100], Step[395/526], Loss: 0.6472
Epoch [11/100], Step[396/526], Loss: 0.6334
Epoch [11/100], Step[397/526], Loss: 0.4899
Epoch [11/100], Step[398/526], Loss: 0.5988
Epoch [11/100], Step[399/526], Loss: 0.6488
Epoch [11/100], Step[400/526], Loss: 0.4853
Epoch [11/100], Step[401/526], Loss: 0.5736
Epoch [11/100], Step[402/526], Loss: 0.6167
Epoch [11/100], Step[403/526], Loss: 0.6958
Epoch [11/100], Step[404/526], Loss: 0.5021
Epoch [11/100], Step[405/526], Loss: 0.5154
Epoch [11/100], Step[406/526], Loss: 0.6550
Epoch [11/100], Step[407/526], Loss: 0.7234
Epoch [11/100], Step[408/526], Loss: 0.6486
Epoch [11/100], Step[409/526], Loss: 0.4486
Epoch [11/100], Step[410/526], Loss: 0.4837
Epoch [11/100], Step[411/526], Loss: 0.5337
Epoch [11/100], Step[412/526], Loss: 0.5807
Epoch [11/100], Step[413/526], Loss: 0.5895
Epoch [11/100], Step[414/526], Loss: 0.6386
Epoch [11/100], Step[415/526], Loss: 0.6175
Epoch [11/100], Step[416/526], Loss: 0.5381
Epoch [11/100], Step[417/526], Loss: 0.4798
Epoch [11/100], Step[418/526], Loss: 0.7567
Epoch [11/100], Step[419/526], Loss: 0.7163
Epoch [11/100], Step[420/526], Loss: 0.6818
Epoch [11/100], Step[421/526], Loss: 0.6217
Epoch [11/100], Step[422/526], Loss: 0.7833
Epoch [11/100], Step[423/526], Loss: 0.7106
Epoch [11/100], Step[424/526], Loss: 0.7352
Epoch [11/100], Step[425/526], Loss: 0.7057
Epoch [11/100], Step[426/526], Loss: 0.7663
Epoch [11/100], Step[427/526], Loss: 0.6720
Epoch [11/100], Step[428/526], Loss: 0.7030
Epoch [11/100], Step[429/526], Loss: 0.7376
Epoch [11/100], Step[430/526], Loss: 0.8153
Epoch [11/100], Step[431/526], Loss: 0.7247
Epoch [11/100], Step[432/526], Loss: 0.7524
Epoch [11/100], Step[433/526], Loss: 0.6973
Epoch [11/100], Step[434/526], Loss: 0.6163
Epoch [11/100], Step[435/526], Loss: 0.7760
Epoch [11/100], Step[436/526], Loss: 0.7878
Epoch [11/100], Step[437/526], Loss: 0.5426
Epoch [11/100], Step[438/526], Loss: 0.3817
Epoch [11/100], Step[439/526], Loss: 0.7495
Epoch [11/100], Step[440/526], Loss: 0.6818
Epoch [11/100], Step[441/526], Loss: 0.6997
Epoch [11/100], Step[442/526], Loss: 0.6404
Epoch [11/100], Step[443/526], Loss: 0.6743
Epoch [11/100], Step[444/526], Loss: 0.7597
Epoch [11/100], Step[445/526], Loss: 0.6898
Epoch [11/100], Step[446/526], Loss: 0.7273
Epoch [11/100], Step[447/526], Loss: 0.7112
Epoch [11/100], Step[448/526], Loss: 0.7902
Epoch [11/100], Step[449/526], Loss: 0.7278
Epoch [11/100], Step[450/526], Loss: 0.6119
Epoch [11/100], Step[451/526], Loss: 0.6131
Epoch [11/100], Step[452/526], Loss: 0.7373
Epoch [11/100], Step[453/526], Loss: 0.7438
Epoch [11/100], Step[454/526], Loss: 0.8193
Epoch [11/100], Step[455/526], Loss: 0.6691
Epoch [11/100], Step[456/526], Loss: 0.6406
Epoch [11/100], Step[457/526], Loss: 0.6914
Epoch [11/100], Step[458/526], Loss: 0.6633
Epoch [11/100], Step[459/526], Loss: 0.6789
Epoch [11/100], Step[460/526], Loss: 0.6656
Epoch [11/100], Step[461/526], Loss: 0.6390
Epoch [11/100], Step[462/526], Loss: 0.6708
Epoch [11/100], Step[463/526], Loss: 0.6518
Epoch [11/100], Step[464/526], Loss: 0.6659
Epoch [11/100], Step[465/526], Loss: 0.6774
Epoch [11/100], Step[466/526], Loss: 0.6629
Epoch [11/100], Step[467/526], Loss: 0.6542
Epoch [11/100], Step[468/526], Loss: 0.6442
Epoch [11/100], Step[469/526], Loss: 0.7851
Epoch [11/100], Step[470/526], Loss: 0.6655
Epoch [11/100], Step[471/526], Loss: 0.7022
Epoch [11/100], Step[472/526], Loss: 0.6797
Epoch [11/100], Step[473/526], Loss: 0.6756
Epoch [11/100], Step[474/526], Loss: 0.6717
Epoch [11/100], Step[475/526], Loss: 0.7731
Epoch [11/100], Step[476/526], Loss: 0.7692
Epoch [11/100], Step[477/526], Loss: 0.7008
Epoch [11/100], Step[478/526], Loss: 0.7019
Epoch [11/100], Step[479/526], Loss: 0.6740
Epoch [11/100], Step[480/526], Loss: 0.7398
Epoch [11/100], Step[481/526], Loss: 0.6964
Epoch [11/100], Step[482/526], Loss: 0.6382
Epoch [11/100], Step[483/526], Loss: 0.5662
Epoch [11/100], Step[484/526], Loss: 0.6801
Epoch [11/100], Step[485/526], Loss: 0.7876
Epoch [11/100], Step[486/526], Loss: 0.7007
Epoch [11/100], Step[487/526], Loss: 0.7328
Epoch [11/100], Step[488/526], Loss: 0.6953
Epoch [11/100], Step[489/526], Loss: 0.6528
Epoch [11/100], Step[490/526], Loss: 0.6271
Epoch [11/100], Step[491/526], Loss: 0.7026
Epoch [11/100], Step[492/526], Loss: 0.6741
Epoch [11/100], Step[493/526], Loss: 0.6742
Epoch [11/100], Step[494/526], Loss: 0.6454
Epoch [11/100], Step[495/526], Loss: 0.6862
Epoch [11/100], Step[496/526], Loss: 0.6788
Epoch [11/100], Step[497/526], Loss: 0.6464
Epoch [11/100], Step[498/526], Loss: 0.6819
Epoch [11/100], Step[499/526], Loss: 0.6855
Epoch [11/100], Step[500/526], Loss: 0.6826
Epoch [11/100], Step[501/526], Loss: 0.6613
Epoch [11/100], Step[502/526], Loss: 0.6928
Epoch [11/100], Step[503/526], Loss: 0.7043
Epoch [11/100], Step[504/526], Loss: 0.6887
Epoch [11/100], Step[505/526], Loss: 0.7063
Epoch [11/100], Step[506/526], Loss: 0.6879
Epoch [11/100], Step[507/526], Loss: 0.6775
Epoch [11/100], Step[508/526], Loss: 0.6934
Epoch [11/100], Step[509/526], Loss: 0.6650
Epoch [11/100], Step[510/526], Loss: 0.6971
Epoch [11/100], Step[511/526], Loss: 0.6448
Epoch [11/100], Step[512/526], Loss: 0.6759
Epoch [11/100], Step[513/526], Loss: 0.6622
Epoch [11/100], Step[514/526], Loss: 0.6500
Epoch [11/100], Step[515/526], Loss: 0.5933
Epoch [11/100], Step[516/526], Loss: 0.7397
Epoch [11/100], Step[517/526], Loss: 0.6839
Epoch [11/100], Step[518/526], Loss: 0.7213
Epoch [11/100], Step[519/526], Loss: 0.7127
Epoch [11/100], Step[520/526], Loss: 0.6706
Epoch [11/100], Step[521/526], Loss: 0.6587
Epoch [11/100], Step[522/526], Loss: 0.6356
Epoch [11/100], Step[523/526], Loss: 0.6485
Epoch [11/100], Step[524/526], Loss: 0.6493
Epoch [11/100], Step[525/526], Loss: 0.7391
Epoch [11/100], Step[526/526], Loss: 0.6804
Epoch [12/100], Step[1/526], Loss: 0.6637
Epoch [12/100], Step[2/526], Loss: 0.6512
Epoch [12/100], Step[3/526], Loss: 0.6688
Epoch [12/100], Step[4/526], Loss: 0.6430
Epoch [12/100], Step[5/526], Loss: 0.7271
Epoch [12/100], Step[6/526], Loss: 0.7230
Epoch [12/100], Step[7/526], Loss: 0.7019
Epoch [12/100], Step[8/526], Loss: 0.6891
Epoch [12/100], Step[9/526], Loss: 0.7085
Epoch [12/100], Step[10/526], Loss: 0.6932
Epoch [12/100], Step[11/526], Loss: 0.6647
Epoch [12/100], Step[12/526], Loss: 0.7173
Epoch [12/100], Step[13/526], Loss: 0.6424
Epoch [12/100], Step[14/526], Loss: 0.6663
Epoch [12/100], Step[15/526], Loss: 0.6899
Epoch [12/100], Step[16/526], Loss: 0.6974
Epoch [12/100], Step[17/526], Loss: 0.6890
Epoch [12/100], Step[18/526], Loss: 0.7020
Epoch [12/100], Step[19/526], Loss: 0.6716
Epoch [12/100], Step[20/526], Loss: 0.7176
Epoch [12/100], Step[21/526], Loss: 0.7273
Epoch [12/100], Step[22/526], Loss: 0.7184
Epoch [12/100], Step[23/526], Loss: 0.7338
Epoch [12/100], Step[24/526], Loss: 0.7123
Epoch [12/100], Step[25/526], Loss: 0.6908
Epoch [12/100], Step[26/526], Loss: 0.6403
Epoch [12/100], Step[27/526], Loss: 0.6932
Epoch [12/100], Step[28/526], Loss: 0.6970
Epoch [12/100], Step[29/526], Loss: 0.6601
Epoch [12/100], Step[30/526], Loss: 0.6836
Epoch [12/100], Step[31/526], Loss: 0.7089
Epoch [12/100], Step[32/526], Loss: 0.6772
Epoch [12/100], Step[33/526], Loss: 0.7144
Epoch [12/100], Step[34/526], Loss: 0.6799
Epoch [12/100], Step[35/526], Loss: 0.7076
Epoch [12/100], Step[36/526], Loss: 0.6946
Epoch [12/100], Step[37/526], Loss: 0.6946
Epoch [12/100], Step[38/526], Loss: 0.6863
Epoch [12/100], Step[39/526], Loss: 0.7163
Epoch [12/100], Step[40/526], Loss: 0.7229
Epoch [12/100], Step[41/526], Loss: 0.6510
Epoch [12/100], Step[42/526], Loss: 0.7222
Epoch [12/100], Step[43/526], Loss: 0.7139
Epoch [12/100], Step[44/526], Loss: 0.6861
Epoch [12/100], Step[45/526], Loss: 0.6788
Epoch [12/100], Step[46/526], Loss: 0.6843
Epoch [12/100], Step[47/526], Loss: 0.7107
Epoch [12/100], Step[48/526], Loss: 0.7135
Epoch [12/100], Step[49/526], Loss: 0.7011
Epoch [12/100], Step[50/526], Loss: 0.7156
Epoch [12/100], Step[51/526], Loss: 0.7008
Epoch [12/100], Step[52/526], Loss: 0.6889
Epoch [12/100], Step[53/526], Loss: 0.7215
Epoch [12/100], Step[54/526], Loss: 0.6948
Epoch [12/100], Step[55/526], Loss: 0.6978
Epoch [12/100], Step[56/526], Loss: 0.6925
Epoch [12/100], Step[57/526], Loss: 0.6870
Epoch [12/100], Step[58/526], Loss: 0.6751
Epoch [12/100], Step[59/526], Loss: 0.6780
Epoch [12/100], Step[60/526], Loss: 0.6726
Epoch [12/100], Step[61/526], Loss: 0.6490
Epoch [12/100], Step[62/526], Loss: 0.6934
Epoch [12/100], Step[63/526], Loss: 0.6846
Epoch [12/100], Step[64/526], Loss: 0.6802
Epoch [12/100], Step[65/526], Loss: 0.7103
Epoch [12/100], Step[66/526], Loss: 0.6817
Epoch [12/100], Step[67/526], Loss: 0.6715
Epoch [12/100], Step[68/526], Loss: 0.6592
Epoch [12/100], Step[69/526], Loss: 0.7011
Epoch [12/100], Step[70/526], Loss: 0.6838
Epoch [12/100], Step[71/526], Loss: 0.6640
Epoch [12/100], Step[72/526], Loss: 0.6709
Epoch [12/100], Step[73/526], Loss: 0.7046
Epoch [12/100], Step[74/526], Loss: 0.6661
Epoch [12/100], Step[75/526], Loss: 0.7137
Epoch [12/100], Step[76/526], Loss: 0.7023
Epoch [12/100], Step[77/526], Loss: 0.6799
Epoch [12/100], Step[78/526], Loss: 0.7016
Epoch [12/100], Step[79/526], Loss: 0.6998
Epoch [12/100], Step[80/526], Loss: 0.7006
Epoch [12/100], Step[81/526], Loss: 0.7028
Epoch [12/100], Step[82/526], Loss: 0.7362
Epoch [12/100], Step[83/526], Loss: 0.7128
Epoch [12/100], Step[84/526], Loss: 0.6974
Epoch [12/100], Step[85/526], Loss: 0.6669
Epoch [12/100], Step[86/526], Loss: 0.7024
Epoch [12/100], Step[87/526], Loss: 0.6828
Epoch [12/100], Step[88/526], Loss: 0.6851
Epoch [12/100], Step[89/526], Loss: 0.7130
Epoch [12/100], Step[90/526], Loss: 0.6897
Epoch [12/100], Step[91/526], Loss: 0.6780
Epoch [12/100], Step[92/526], Loss: 0.6714
Epoch [12/100], Step[93/526], Loss: 0.6778
Epoch [12/100], Step[94/526], Loss: 0.7888
Epoch [12/100], Step[95/526], Loss: 0.7086
Epoch [12/100], Step[96/526], Loss: 0.6364
Epoch [12/100], Step[97/526], Loss: 0.6152
Epoch [12/100], Step[98/526], Loss: 0.6995
Epoch [12/100], Step[99/526], Loss: 0.6775
Epoch [12/100], Step[100/526], Loss: 0.6801
Epoch [12/100], Step[101/526], Loss: 0.6602
Epoch [12/100], Step[102/526], Loss: 0.6346
Epoch [12/100], Step[103/526], Loss: 0.6539
Epoch [12/100], Step[104/526], Loss: 0.6437
Epoch [12/100], Step[105/526], Loss: 0.6506
Epoch [12/100], Step[106/526], Loss: 0.6751
Epoch [12/100], Step[107/526], Loss: 0.6525
Epoch [12/100], Step[108/526], Loss: 0.5980
Epoch [12/100], Step[109/526], Loss: 0.6812
Epoch [12/100], Step[110/526], Loss: 0.6900
Epoch [12/100], Step[111/526], Loss: 0.6086
Epoch [12/100], Step[112/526], Loss: 0.7182
Epoch [12/100], Step[113/526], Loss: 0.6158
Epoch [12/100], Step[114/526], Loss: 0.6671
Epoch [12/100], Step[115/526], Loss: 0.6230
Epoch [12/100], Step[116/526], Loss: 0.6081
Epoch [12/100], Step[117/526], Loss: 0.6195
Epoch [12/100], Step[118/526], Loss: 0.7375
Epoch [12/100], Step[119/526], Loss: 0.6743
Epoch [12/100], Step[120/526], Loss: 0.6649
Epoch [12/100], Step[121/526], Loss: 0.6824
Epoch [12/100], Step[122/526], Loss: 0.6478
Epoch [12/100], Step[123/526], Loss: 0.6599
Epoch [12/100], Step[124/526], Loss: 0.6815
Epoch [12/100], Step[125/526], Loss: 0.6393
Epoch [12/100], Step[126/526], Loss: 0.6968
Epoch [12/100], Step[127/526], Loss: 0.6844
Epoch [12/100], Step[128/526], Loss: 0.6446
Epoch [12/100], Step[129/526], Loss: 0.5722
Epoch [12/100], Step[130/526], Loss: 0.5838
Epoch [12/100], Step[131/526], Loss: 0.6955
Epoch [12/100], Step[132/526], Loss: 0.7379
Epoch [12/100], Step[133/526], Loss: 0.6870
Epoch [12/100], Step[134/526], Loss: 0.6337
Epoch [12/100], Step[135/526], Loss: 0.6572
Epoch [12/100], Step[136/526], Loss: 0.5695
Epoch [12/100], Step[137/526], Loss: 0.6149
Epoch [12/100], Step[138/526], Loss: 0.6483
Epoch [12/100], Step[139/526], Loss: 0.7241
Epoch [12/100], Step[140/526], Loss: 0.5854
Epoch [12/100], Step[141/526], Loss: 0.6647
Epoch [12/100], Step[142/526], Loss: 0.6666
Epoch [12/100], Step[143/526], Loss: 0.6915
Epoch [12/100], Step[144/526], Loss: 0.7991
Epoch [12/100], Step[145/526], Loss: 0.5683
Epoch [12/100], Step[146/526], Loss: 0.5094
Epoch [12/100], Step[147/526], Loss: 0.4704
Epoch [12/100], Step[148/526], Loss: 0.5876
Epoch [12/100], Step[149/526], Loss: 0.4901
Epoch [12/100], Step[150/526], Loss: 0.5859
Epoch [12/100], Step[151/526], Loss: 0.5402
Epoch [12/100], Step[152/526], Loss: 0.6277
Epoch [12/100], Step[153/526], Loss: 0.5984
Epoch [12/100], Step[154/526], Loss: 0.7378
Epoch [12/100], Step[155/526], Loss: 0.6522
Epoch [12/100], Step[156/526], Loss: 0.5099
Epoch [12/100], Step[157/526], Loss: 0.2733
Epoch [12/100], Step[158/526], Loss: 0.5615
Epoch [12/100], Step[159/526], Loss: 0.6465
Epoch [12/100], Step[160/526], Loss: 0.5628
Epoch [12/100], Step[161/526], Loss: 1.2796
Epoch [12/100], Step[162/526], Loss: 0.7040
Epoch [12/100], Step[163/526], Loss: 0.7684
Epoch [12/100], Step[164/526], Loss: 0.6311
Epoch [12/100], Step[165/526], Loss: 0.7252
Epoch [12/100], Step[166/526], Loss: 0.4611
Epoch [12/100], Step[167/526], Loss: 0.5203
Epoch [12/100], Step[168/526], Loss: 0.7327
Epoch [12/100], Step[169/526], Loss: 0.8290
Epoch [12/100], Step[170/526], Loss: 0.7270
Epoch [12/100], Step[171/526], Loss: 0.7343
Epoch [12/100], Step[172/526], Loss: 0.7359
Epoch [12/100], Step[173/526], Loss: 0.8539
Epoch [12/100], Step[174/526], Loss: 0.6466
Epoch [12/100], Step[175/526], Loss: 0.6388
Epoch [12/100], Step[176/526], Loss: 0.6328
Epoch [12/100], Step[177/526], Loss: 0.6659
Epoch [12/100], Step[178/526], Loss: 0.7208
Epoch [12/100], Step[179/526], Loss: 0.6420
Epoch [12/100], Step[180/526], Loss: 0.6926
Epoch [12/100], Step[181/526], Loss: 0.6228
Epoch [12/100], Step[182/526], Loss: 0.6887
Epoch [12/100], Step[183/526], Loss: 0.5132
Epoch [12/100], Step[184/526], Loss: 0.5860
Epoch [12/100], Step[185/526], Loss: 0.5878
Epoch [12/100], Step[186/526], Loss: 0.6412
Epoch [12/100], Step[187/526], Loss: 0.7225
Epoch [12/100], Step[188/526], Loss: 0.7230
Epoch [12/100], Step[189/526], Loss: 0.6843
Epoch [12/100], Step[190/526], Loss: 0.6287
Epoch [12/100], Step[191/526], Loss: 0.7601
Epoch [12/100], Step[192/526], Loss: 0.8189
Epoch [12/100], Step[193/526], Loss: 0.6678
Epoch [12/100], Step[194/526], Loss: 0.6518
Epoch [12/100], Step[195/526], Loss: 0.6463
Epoch [12/100], Step[196/526], Loss: 0.7471
Epoch [12/100], Step[197/526], Loss: 0.7214
Epoch [12/100], Step[198/526], Loss: 0.6144
Epoch [12/100], Step[199/526], Loss: 0.7079
Epoch [12/100], Step[200/526], Loss: 0.6534
Epoch [12/100], Step[201/526], Loss: 0.6914
Epoch [12/100], Step[202/526], Loss: 0.7885
Epoch [12/100], Step[203/526], Loss: 0.6881
Epoch [12/100], Step[204/526], Loss: 0.7548
Epoch [12/100], Step[205/526], Loss: 0.7350
Epoch [12/100], Step[206/526], Loss: 0.6722
Epoch [12/100], Step[207/526], Loss: 0.7122
Epoch [12/100], Step[208/526], Loss: 0.6722
Epoch [12/100], Step[209/526], Loss: 0.6811
Epoch [12/100], Step[210/526], Loss: 0.7198
Epoch [12/100], Step[211/526], Loss: 0.6495
Epoch [12/100], Step[212/526], Loss: 0.6783
Epoch [12/100], Step[213/526], Loss: 0.7100
Epoch [12/100], Step[214/526], Loss: 0.7216
Epoch [12/100], Step[215/526], Loss: 0.7113
Epoch [12/100], Step[216/526], Loss: 0.6844
Epoch [12/100], Step[217/526], Loss: 0.6909
Epoch [12/100], Step[218/526], Loss: 0.6857
Epoch [12/100], Step[219/526], Loss: 0.7155
Epoch [12/100], Step[220/526], Loss: 0.6815
Epoch [12/100], Step[221/526], Loss: 0.7320
Epoch [12/100], Step[222/526], Loss: 0.6643
Epoch [12/100], Step[223/526], Loss: 0.7052
Epoch [12/100], Step[224/526], Loss: 0.6927
Epoch [12/100], Step[225/526], Loss: 0.6861
Epoch [12/100], Step[226/526], Loss: 0.6934
Epoch [12/100], Step[227/526], Loss: 0.6648
Epoch [12/100], Step[228/526], Loss: 0.6645
Epoch [12/100], Step[229/526], Loss: 0.6917
Epoch [12/100], Step[230/526], Loss: 0.6584
Epoch [12/100], Step[231/526], Loss: 0.6984
Epoch [12/100], Step[232/526], Loss: 0.7548
Epoch [12/100], Step[233/526], Loss: 0.6750
Epoch [12/100], Step[234/526], Loss: 0.6994
Epoch [12/100], Step[235/526], Loss: 0.6768
Epoch [12/100], Step[236/526], Loss: 0.6823
Epoch [12/100], Step[237/526], Loss: 0.7321
Epoch [12/100], Step[238/526], Loss: 0.7012
Epoch [12/100], Step[239/526], Loss: 0.6765
Epoch [12/100], Step[240/526], Loss: 0.7144
Epoch [12/100], Step[241/526], Loss: 0.6949
Epoch [12/100], Step[242/526], Loss: 0.6977
Epoch [12/100], Step[243/526], Loss: 0.6657
Epoch [12/100], Step[244/526], Loss: 0.6411
Epoch [12/100], Step[245/526], Loss: 0.6525
Epoch [12/100], Step[246/526], Loss: 0.6709
Epoch [12/100], Step[247/526], Loss: 0.6289
Epoch [12/100], Step[248/526], Loss: 0.6440
Epoch [12/100], Step[249/526], Loss: 0.6499
Epoch [12/100], Step[250/526], Loss: 0.6749
Epoch [12/100], Step[251/526], Loss: 0.6886
Epoch [12/100], Step[252/526], Loss: 0.6970
Epoch [12/100], Step[253/526], Loss: 0.6448
Epoch [12/100], Step[254/526], Loss: 0.6801
Epoch [12/100], Step[255/526], Loss: 0.6185
Epoch [12/100], Step[256/526], Loss: 0.6910
Epoch [12/100], Step[257/526], Loss: 0.6443
Epoch [12/100], Step[258/526], Loss: 0.6544
Epoch [12/100], Step[259/526], Loss: 0.6931
Epoch [12/100], Step[260/526], Loss: 0.7150
Epoch [12/100], Step[261/526], Loss: 0.7238
Epoch [12/100], Step[262/526], Loss: 0.6677
Epoch [12/100], Step[263/526], Loss: 0.6571
Epoch [12/100], Step[264/526], Loss: 0.6402
Epoch [12/100], Step[265/526], Loss: 0.6172
Epoch [12/100], Step[266/526], Loss: 0.6044
Epoch [12/100], Step[267/526], Loss: 0.5157
Epoch [12/100], Step[268/526], Loss: 0.5944
Epoch [12/100], Step[269/526], Loss: 0.5083
Epoch [12/100], Step[270/526], Loss: 0.4655
Epoch [12/100], Step[271/526], Loss: 0.5543
Epoch [12/100], Step[272/526], Loss: 0.5467
Epoch [12/100], Step[273/526], Loss: 0.6212
Epoch [12/100], Step[274/526], Loss: 0.5022
Epoch [12/100], Step[275/526], Loss: 0.4732
Epoch [12/100], Step[276/526], Loss: 0.5159
Epoch [12/100], Step[277/526], Loss: 0.4645
Epoch [12/100], Step[278/526], Loss: 0.4936
Epoch [12/100], Step[279/526], Loss: 0.4485
Epoch [12/100], Step[280/526], Loss: 0.4793
Epoch [12/100], Step[281/526], Loss: 0.5980
Epoch [12/100], Step[282/526], Loss: 0.4084
Epoch [12/100], Step[283/526], Loss: 0.3806
Epoch [12/100], Step[284/526], Loss: 0.4296
Epoch [12/100], Step[285/526], Loss: 0.3234
Epoch [12/100], Step[286/526], Loss: 0.6659
Epoch [12/100], Step[287/526], Loss: 0.4956
Epoch [12/100], Step[288/526], Loss: 0.4465
Epoch [12/100], Step[289/526], Loss: 0.5929
Epoch [12/100], Step[290/526], Loss: 0.4444
Epoch [12/100], Step[291/526], Loss: 0.4950
Epoch [12/100], Step[292/526], Loss: 0.3000
Epoch [12/100], Step[293/526], Loss: 0.3264
Epoch [12/100], Step[294/526], Loss: 0.3566
Epoch [12/100], Step[295/526], Loss: 0.4259
Epoch [12/100], Step[296/526], Loss: 0.6033
Epoch [12/100], Step[297/526], Loss: 0.2970
Epoch [12/100], Step[298/526], Loss: 0.3351
Epoch [12/100], Step[299/526], Loss: 0.2883
Epoch [12/100], Step[300/526], Loss: 0.3420
Epoch [12/100], Step[301/526], Loss: 0.5862
Epoch [12/100], Step[302/526], Loss: 0.3289
Epoch [12/100], Step[303/526], Loss: 0.4941
Epoch [12/100], Step[304/526], Loss: 0.2788
Epoch [12/100], Step[305/526], Loss: 0.3061
Epoch [12/100], Step[306/526], Loss: 0.5802
Epoch [12/100], Step[307/526], Loss: 0.8584
Epoch [12/100], Step[308/526], Loss: 1.2283
Epoch [12/100], Step[309/526], Loss: 0.9357
Epoch [12/100], Step[310/526], Loss: 0.9402
Epoch [12/100], Step[311/526], Loss: 0.8112
Epoch [12/100], Step[312/526], Loss: 0.5073
Epoch [12/100], Step[313/526], Loss: 0.4817
Epoch [12/100], Step[314/526], Loss: 0.6324
Epoch [12/100], Step[315/526], Loss: 0.7154
Epoch [12/100], Step[316/526], Loss: 0.5134
Epoch [12/100], Step[317/526], Loss: 0.3057
Epoch [12/100], Step[318/526], Loss: 0.7198
Epoch [12/100], Step[319/526], Loss: 0.3742
Epoch [12/100], Step[320/526], Loss: 0.5792
Epoch [12/100], Step[321/526], Loss: 0.7699
Epoch [12/100], Step[322/526], Loss: 0.2871
Epoch [12/100], Step[323/526], Loss: 0.5926
Epoch [12/100], Step[324/526], Loss: 0.6840
Epoch [12/100], Step[325/526], Loss: 0.5869
Epoch [12/100], Step[326/526], Loss: 0.8143
Epoch [12/100], Step[327/526], Loss: 0.7603
Epoch [12/100], Step[328/526], Loss: 0.8808
Epoch [12/100], Step[329/526], Loss: 1.1723
Epoch [12/100], Step[330/526], Loss: 0.9109
Epoch [12/100], Step[331/526], Loss: 0.8573
Epoch [12/100], Step[332/526], Loss: 0.8952
Epoch [12/100], Step[333/526], Loss: 0.7656
Epoch [12/100], Step[334/526], Loss: 0.8171
Epoch [12/100], Step[335/526], Loss: 0.8642
Epoch [12/100], Step[336/526], Loss: 0.6748
Epoch [12/100], Step[337/526], Loss: 0.6061
Epoch [12/100], Step[338/526], Loss: 0.7182
Epoch [12/100], Step[339/526], Loss: 0.6623
Epoch [12/100], Step[340/526], Loss: 0.7409
Epoch [12/100], Step[341/526], Loss: 0.8147
Epoch [12/100], Step[342/526], Loss: 0.8201
Epoch [12/100], Step[343/526], Loss: 0.5626
Epoch [12/100], Step[344/526], Loss: 0.7471
Epoch [12/100], Step[345/526], Loss: 0.6697
Epoch [12/100], Step[346/526], Loss: 0.6937
Epoch [12/100], Step[347/526], Loss: 0.6962
Epoch [12/100], Step[348/526], Loss: 0.6541
Epoch [12/100], Step[349/526], Loss: 0.5701
Epoch [12/100], Step[350/526], Loss: 0.6861
Epoch [12/100], Step[351/526], Loss: 0.7403
Epoch [12/100], Step[352/526], Loss: 0.5999
Epoch [12/100], Step[353/526], Loss: 0.7199
Epoch [12/100], Step[354/526], Loss: 0.6701
Epoch [12/100], Step[355/526], Loss: 0.6908
Epoch [12/100], Step[356/526], Loss: 0.7149
Epoch [12/100], Step[357/526], Loss: 0.6591
Epoch [12/100], Step[358/526], Loss: 0.6908
Epoch [12/100], Step[359/526], Loss: 0.6717
Epoch [12/100], Step[360/526], Loss: 0.6716
Epoch [12/100], Step[361/526], Loss: 0.8072
Epoch [12/100], Step[362/526], Loss: 0.7545
Epoch [12/100], Step[363/526], Loss: 0.6839
Epoch [12/100], Step[364/526], Loss: 0.7292
Epoch [12/100], Step[365/526], Loss: 0.7268
Epoch [12/100], Step[366/526], Loss: 0.6838
Epoch [12/100], Step[367/526], Loss: 0.6860
Epoch [12/100], Step[368/526], Loss: 0.6560
Epoch [12/100], Step[369/526], Loss: 0.6654
Epoch [12/100], Step[370/526], Loss: 0.5994
Epoch [12/100], Step[371/526], Loss: 0.7542
Epoch [12/100], Step[372/526], Loss: 0.6489
Epoch [12/100], Step[373/526], Loss: 0.6844
Epoch [12/100], Step[374/526], Loss: 0.6987
Epoch [12/100], Step[375/526], Loss: 0.6651
Epoch [12/100], Step[376/526], Loss: 0.6680
Epoch [12/100], Step[377/526], Loss: 0.6863
Epoch [12/100], Step[378/526], Loss: 0.7088
Epoch [12/100], Step[379/526], Loss: 0.7241
Epoch [12/100], Step[380/526], Loss: 0.6111
Epoch [12/100], Step[381/526], Loss: 0.6070
Epoch [12/100], Step[382/526], Loss: 0.6788
Epoch [12/100], Step[383/526], Loss: 0.6779
Epoch [12/100], Step[384/526], Loss: 0.6521
Epoch [12/100], Step[385/526], Loss: 0.6346
Epoch [12/100], Step[386/526], Loss: 0.6723
Epoch [12/100], Step[387/526], Loss: 0.6593
Epoch [12/100], Step[388/526], Loss: 0.6009
Epoch [12/100], Step[389/526], Loss: 0.7090
Epoch [12/100], Step[390/526], Loss: 0.6174
Epoch [12/100], Step[391/526], Loss: 0.6553
Epoch [12/100], Step[392/526], Loss: 0.6958
Epoch [12/100], Step[393/526], Loss: 0.6089
Epoch [12/100], Step[394/526], Loss: 0.5248
Epoch [12/100], Step[395/526], Loss: 0.6485
Epoch [12/100], Step[396/526], Loss: 0.6326
Epoch [12/100], Step[397/526], Loss: 0.4970
Epoch [12/100], Step[398/526], Loss: 0.6013
Epoch [12/100], Step[399/526], Loss: 0.6505
Epoch [12/100], Step[400/526], Loss: 0.4868
Epoch [12/100], Step[401/526], Loss: 0.5717
Epoch [12/100], Step[402/526], Loss: 0.6229
Epoch [12/100], Step[403/526], Loss: 0.6961
Epoch [12/100], Step[404/526], Loss: 0.4990
Epoch [12/100], Step[405/526], Loss: 0.5177
Epoch [12/100], Step[406/526], Loss: 0.6546
Epoch [12/100], Step[407/526], Loss: 0.7259
Epoch [12/100], Step[408/526], Loss: 0.6478
Epoch [12/100], Step[409/526], Loss: 0.4495
Epoch [12/100], Step[410/526], Loss: 0.4813
Epoch [12/100], Step[411/526], Loss: 0.5344
Epoch [12/100], Step[412/526], Loss: 0.5800
Epoch [12/100], Step[413/526], Loss: 0.5896
Epoch [12/100], Step[414/526], Loss: 0.6381
Epoch [12/100], Step[415/526], Loss: 0.6168
Epoch [12/100], Step[416/526], Loss: 0.5337
Epoch [12/100], Step[417/526], Loss: 0.4740
Epoch [12/100], Step[418/526], Loss: 0.7520
Epoch [12/100], Step[419/526], Loss: 0.7104
Epoch [12/100], Step[420/526], Loss: 0.6798
Epoch [12/100], Step[421/526], Loss: 0.6220
Epoch [12/100], Step[422/526], Loss: 0.7859
Epoch [12/100], Step[423/526], Loss: 0.7107
Epoch [12/100], Step[424/526], Loss: 0.7348
Epoch [12/100], Step[425/526], Loss: 0.7086
Epoch [12/100], Step[426/526], Loss: 0.7652
Epoch [12/100], Step[427/526], Loss: 0.6738
Epoch [12/100], Step[428/526], Loss: 0.7062
Epoch [12/100], Step[429/526], Loss: 0.7345
Epoch [12/100], Step[430/526], Loss: 0.8155
Epoch [12/100], Step[431/526], Loss: 0.7265
Epoch [12/100], Step[432/526], Loss: 0.7490
Epoch [12/100], Step[433/526], Loss: 0.6953
Epoch [12/100], Step[434/526], Loss: 0.6166
Epoch [12/100], Step[435/526], Loss: 0.7794
Epoch [12/100], Step[436/526], Loss: 0.7918
Epoch [12/100], Step[437/526], Loss: 0.5431
Epoch [12/100], Step[438/526], Loss: 0.3825
Epoch [12/100], Step[439/526], Loss: 0.7518
Epoch [12/100], Step[440/526], Loss: 0.6810
Epoch [12/100], Step[441/526], Loss: 0.7011
Epoch [12/100], Step[442/526], Loss: 0.6379
Epoch [12/100], Step[443/526], Loss: 0.6736
Epoch [12/100], Step[444/526], Loss: 0.7635
Epoch [12/100], Step[445/526], Loss: 0.6900
Epoch [12/100], Step[446/526], Loss: 0.7284
Epoch [12/100], Step[447/526], Loss: 0.7148
Epoch [12/100], Step[448/526], Loss: 0.7757
Epoch [12/100], Step[449/526], Loss: 0.7229
Epoch [12/100], Step[450/526], Loss: 0.6111
Epoch [12/100], Step[451/526], Loss: 0.6181
Epoch [12/100], Step[452/526], Loss: 0.7387
Epoch [12/100], Step[453/526], Loss: 0.7465
Epoch [12/100], Step[454/526], Loss: 0.8116
Epoch [12/100], Step[455/526], Loss: 0.6665
Epoch [12/100], Step[456/526], Loss: 0.6390
Epoch [12/100], Step[457/526], Loss: 0.6921
Epoch [12/100], Step[458/526], Loss: 0.6631
Epoch [12/100], Step[459/526], Loss: 0.6776
Epoch [12/100], Step[460/526], Loss: 0.6656
Epoch [12/100], Step[461/526], Loss: 0.6385
Epoch [12/100], Step[462/526], Loss: 0.6726
Epoch [12/100], Step[463/526], Loss: 0.6545
Epoch [12/100], Step[464/526], Loss: 0.6662
Epoch [12/100], Step[465/526], Loss: 0.6719
Epoch [12/100], Step[466/526], Loss: 0.6644
Epoch [12/100], Step[467/526], Loss: 0.6525
Epoch [12/100], Step[468/526], Loss: 0.6466
Epoch [12/100], Step[469/526], Loss: 0.7882
Epoch [12/100], Step[470/526], Loss: 0.6654
Epoch [12/100], Step[471/526], Loss: 0.7042
Epoch [12/100], Step[472/526], Loss: 0.6807
Epoch [12/100], Step[473/526], Loss: 0.6771
Epoch [12/100], Step[474/526], Loss: 0.6714
Epoch [12/100], Step[475/526], Loss: 0.7838
Epoch [12/100], Step[476/526], Loss: 0.7657
Epoch [12/100], Step[477/526], Loss: 0.7014
Epoch [12/100], Step[478/526], Loss: 0.7020
Epoch [12/100], Step[479/526], Loss: 0.6705
Epoch [12/100], Step[480/526], Loss: 0.7416
Epoch [12/100], Step[481/526], Loss: 0.6994
Epoch [12/100], Step[482/526], Loss: 0.6394
Epoch [12/100], Step[483/526], Loss: 0.5646
Epoch [12/100], Step[484/526], Loss: 0.6845
Epoch [12/100], Step[485/526], Loss: 0.8013
Epoch [12/100], Step[486/526], Loss: 0.7046
Epoch [12/100], Step[487/526], Loss: 0.7472
Epoch [12/100], Step[488/526], Loss: 0.6929
Epoch [12/100], Step[489/526], Loss: 0.6449
Epoch [12/100], Step[490/526], Loss: 0.6255
Epoch [12/100], Step[491/526], Loss: 0.7070
Epoch [12/100], Step[492/526], Loss: 0.6711
Epoch [12/100], Step[493/526], Loss: 0.6719
Epoch [12/100], Step[494/526], Loss: 0.6444
Epoch [12/100], Step[495/526], Loss: 0.6859
Epoch [12/100], Step[496/526], Loss: 0.6783
Epoch [12/100], Step[497/526], Loss: 0.6447
Epoch [12/100], Step[498/526], Loss: 0.6811
Epoch [12/100], Step[499/526], Loss: 0.6842
Epoch [12/100], Step[500/526], Loss: 0.6818
Epoch [12/100], Step[501/526], Loss: 0.6601
Epoch [12/100], Step[502/526], Loss: 0.6940
Epoch [12/100], Step[503/526], Loss: 0.7057
Epoch [12/100], Step[504/526], Loss: 0.6902
Epoch [12/100], Step[505/526], Loss: 0.7070
Epoch [12/100], Step[506/526], Loss: 0.6876
Epoch [12/100], Step[507/526], Loss: 0.6770
Epoch [12/100], Step[508/526], Loss: 0.6927
Epoch [12/100], Step[509/526], Loss: 0.6640
Epoch [12/100], Step[510/526], Loss: 0.6979
Epoch [12/100], Step[511/526], Loss: 0.6442
Epoch [12/100], Step[512/526], Loss: 0.6768
Epoch [12/100], Step[513/526], Loss: 0.6592
Epoch [12/100], Step[514/526], Loss: 0.6503
Epoch [12/100], Step[515/526], Loss: 0.5923
Epoch [12/100], Step[516/526], Loss: 0.7427
Epoch [12/100], Step[517/526], Loss: 0.6889
Epoch [12/100], Step[518/526], Loss: 0.7246
Epoch [12/100], Step[519/526], Loss: 0.7139
Epoch [12/100], Step[520/526], Loss: 0.6702
Epoch [12/100], Step[521/526], Loss: 0.6605
Epoch [12/100], Step[522/526], Loss: 0.6299
Epoch [12/100], Step[523/526], Loss: 0.6464
Epoch [12/100], Step[524/526], Loss: 0.6470
Epoch [12/100], Step[525/526], Loss: 0.7401
Epoch [12/100], Step[526/526], Loss: 0.6848
Epoch [13/100], Step[1/526], Loss: 0.6635
Epoch [13/100], Step[2/526], Loss: 0.6499
Epoch [13/100], Step[3/526], Loss: 0.6691
Epoch [13/100], Step[4/526], Loss: 0.6419
Epoch [13/100], Step[5/526], Loss: 0.7293
Epoch [13/100], Step[6/526], Loss: 0.7244
Epoch [13/100], Step[7/526], Loss: 0.7018
Epoch [13/100], Step[8/526], Loss: 0.6881
Epoch [13/100], Step[9/526], Loss: 0.7084
Epoch [13/100], Step[10/526], Loss: 0.6921
Epoch [13/100], Step[11/526], Loss: 0.6642
Epoch [13/100], Step[12/526], Loss: 0.7180
Epoch [13/100], Step[13/526], Loss: 0.6416
Epoch [13/100], Step[14/526], Loss: 0.6662
Epoch [13/100], Step[15/526], Loss: 0.6897
Epoch [13/100], Step[16/526], Loss: 0.6967
Epoch [13/100], Step[17/526], Loss: 0.6920
Epoch [13/100], Step[18/526], Loss: 0.6977
Epoch [13/100], Step[19/526], Loss: 0.6679
Epoch [13/100], Step[20/526], Loss: 0.7166
Epoch [13/100], Step[21/526], Loss: 0.7287
Epoch [13/100], Step[22/526], Loss: 0.7201
Epoch [13/100], Step[23/526], Loss: 0.7339
Epoch [13/100], Step[24/526], Loss: 0.7125
Epoch [13/100], Step[25/526], Loss: 0.6896
Epoch [13/100], Step[26/526], Loss: 0.6389
Epoch [13/100], Step[27/526], Loss: 0.6932
Epoch [13/100], Step[28/526], Loss: 0.6968
Epoch [13/100], Step[29/526], Loss: 0.6587
Epoch [13/100], Step[30/526], Loss: 0.6842
Epoch [13/100], Step[31/526], Loss: 0.7094
Epoch [13/100], Step[32/526], Loss: 0.6745
Epoch [13/100], Step[33/526], Loss: 0.7145
Epoch [13/100], Step[34/526], Loss: 0.6803
Epoch [13/100], Step[35/526], Loss: 0.7074
Epoch [13/100], Step[36/526], Loss: 0.6937
Epoch [13/100], Step[37/526], Loss: 0.6940
Epoch [13/100], Step[38/526], Loss: 0.6879
Epoch [13/100], Step[39/526], Loss: 0.7157
Epoch [13/100], Step[40/526], Loss: 0.7224
Epoch [13/100], Step[41/526], Loss: 0.6505
Epoch [13/100], Step[42/526], Loss: 0.7229
Epoch [13/100], Step[43/526], Loss: 0.7146
Epoch [13/100], Step[44/526], Loss: 0.6859
Epoch [13/100], Step[45/526], Loss: 0.6792
Epoch [13/100], Step[46/526], Loss: 0.6843
Epoch [13/100], Step[47/526], Loss: 0.7106
Epoch [13/100], Step[48/526], Loss: 0.7150
Epoch [13/100], Step[49/526], Loss: 0.7016
Epoch [13/100], Step[50/526], Loss: 0.7168
Epoch [13/100], Step[51/526], Loss: 0.6990
Epoch [13/100], Step[52/526], Loss: 0.6874
Epoch [13/100], Step[53/526], Loss: 0.7229
Epoch [13/100], Step[54/526], Loss: 0.6945
Epoch [13/100], Step[55/526], Loss: 0.6973
Epoch [13/100], Step[56/526], Loss: 0.6931
Epoch [13/100], Step[57/526], Loss: 0.6858
Epoch [13/100], Step[58/526], Loss: 0.6746
Epoch [13/100], Step[59/526], Loss: 0.6746
Epoch [13/100], Step[60/526], Loss: 0.6734
Epoch [13/100], Step[61/526], Loss: 0.6479
Epoch [13/100], Step[62/526], Loss: 0.6923
Epoch [13/100], Step[63/526], Loss: 0.6849
Epoch [13/100], Step[64/526], Loss: 0.6799
Epoch [13/100], Step[65/526], Loss: 0.7122
Epoch [13/100], Step[66/526], Loss: 0.6815
Epoch [13/100], Step[67/526], Loss: 0.6717
Epoch [13/100], Step[68/526], Loss: 0.6574
Epoch [13/100], Step[69/526], Loss: 0.7014
Epoch [13/100], Step[70/526], Loss: 0.6831
Epoch [13/100], Step[71/526], Loss: 0.6641
Epoch [13/100], Step[72/526], Loss: 0.6699
Epoch [13/100], Step[73/526], Loss: 0.7044
Epoch [13/100], Step[74/526], Loss: 0.6648
Epoch [13/100], Step[75/526], Loss: 0.7136
Epoch [13/100], Step[76/526], Loss: 0.7019
Epoch [13/100], Step[77/526], Loss: 0.6800
Epoch [13/100], Step[78/526], Loss: 0.7033
Epoch [13/100], Step[79/526], Loss: 0.6999
Epoch [13/100], Step[80/526], Loss: 0.7009
Epoch [13/100], Step[81/526], Loss: 0.7038
Epoch [13/100], Step[82/526], Loss: 0.7370
Epoch [13/100], Step[83/526], Loss: 0.7133
Epoch [13/100], Step[84/526], Loss: 0.6970
Epoch [13/100], Step[85/526], Loss: 0.6658
Epoch [13/100], Step[86/526], Loss: 0.7041
Epoch [13/100], Step[87/526], Loss: 0.6819
Epoch [13/100], Step[88/526], Loss: 0.6844
Epoch [13/100], Step[89/526], Loss: 0.7127
Epoch [13/100], Step[90/526], Loss: 0.6889
Epoch [13/100], Step[91/526], Loss: 0.6773
Epoch [13/100], Step[92/526], Loss: 0.6708
Epoch [13/100], Step[93/526], Loss: 0.6777
Epoch [13/100], Step[94/526], Loss: 0.7972
Epoch [13/100], Step[95/526], Loss: 0.7088
Epoch [13/100], Step[96/526], Loss: 0.6336
Epoch [13/100], Step[97/526], Loss: 0.6127
Epoch [13/100], Step[98/526], Loss: 0.6990
Epoch [13/100], Step[99/526], Loss: 0.6763
Epoch [13/100], Step[100/526], Loss: 0.6830
Epoch [13/100], Step[101/526], Loss: 0.6600
Epoch [13/100], Step[102/526], Loss: 0.6291
Epoch [13/100], Step[103/526], Loss: 0.6514
Epoch [13/100], Step[104/526], Loss: 0.6438
Epoch [13/100], Step[105/526], Loss: 0.6511
Epoch [13/100], Step[106/526], Loss: 0.6794
Epoch [13/100], Step[107/526], Loss: 0.6495
Epoch [13/100], Step[108/526], Loss: 0.5969
Epoch [13/100], Step[109/526], Loss: 0.6828
Epoch [13/100], Step[110/526], Loss: 0.6866
Epoch [13/100], Step[111/526], Loss: 0.6082
Epoch [13/100], Step[112/526], Loss: 0.7249
Epoch [13/100], Step[113/526], Loss: 0.6156
Epoch [13/100], Step[114/526], Loss: 0.6616
Epoch [13/100], Step[115/526], Loss: 0.6205
Epoch [13/100], Step[116/526], Loss: 0.6133
Epoch [13/100], Step[117/526], Loss: 0.6288
Epoch [13/100], Step[118/526], Loss: 0.7432
Epoch [13/100], Step[119/526], Loss: 0.6755
Epoch [13/100], Step[120/526], Loss: 0.6658
Epoch [13/100], Step[121/526], Loss: 0.6896
Epoch [13/100], Step[122/526], Loss: 0.6457
Epoch [13/100], Step[123/526], Loss: 0.6616
Epoch [13/100], Step[124/526], Loss: 0.6834
Epoch [13/100], Step[125/526], Loss: 0.6358
Epoch [13/100], Step[126/526], Loss: 0.7053
Epoch [13/100], Step[127/526], Loss: 0.6848
Epoch [13/100], Step[128/526], Loss: 0.6370
Epoch [13/100], Step[129/526], Loss: 0.5754
Epoch [13/100], Step[130/526], Loss: 0.5866
Epoch [13/100], Step[131/526], Loss: 0.7009
Epoch [13/100], Step[132/526], Loss: 0.7431
Epoch [13/100], Step[133/526], Loss: 0.6820
Epoch [13/100], Step[134/526], Loss: 0.6261
Epoch [13/100], Step[135/526], Loss: 0.6451
Epoch [13/100], Step[136/526], Loss: 0.5659
Epoch [13/100], Step[137/526], Loss: 0.6176
Epoch [13/100], Step[138/526], Loss: 0.6605
Epoch [13/100], Step[139/526], Loss: 0.7291
Epoch [13/100], Step[140/526], Loss: 0.5846
Epoch [13/100], Step[141/526], Loss: 0.6747
Epoch [13/100], Step[142/526], Loss: 0.6640
Epoch [13/100], Step[143/526], Loss: 0.6937
Epoch [13/100], Step[144/526], Loss: 0.7886
Epoch [13/100], Step[145/526], Loss: 0.5692
Epoch [13/100], Step[146/526], Loss: 0.5121
Epoch [13/100], Step[147/526], Loss: 0.4590
Epoch [13/100], Step[148/526], Loss: 0.5855
Epoch [13/100], Step[149/526], Loss: 0.4911
Epoch [13/100], Step[150/526], Loss: 0.5914
Epoch [13/100], Step[151/526], Loss: 0.5386
Epoch [13/100], Step[152/526], Loss: 0.6178
Epoch [13/100], Step[153/526], Loss: 0.6095
Epoch [13/100], Step[154/526], Loss: 0.7457
Epoch [13/100], Step[155/526], Loss: 0.6823
Epoch [13/100], Step[156/526], Loss: 0.4900
Epoch [13/100], Step[157/526], Loss: 0.2606
Epoch [13/100], Step[158/526], Loss: 0.5664
Epoch [13/100], Step[159/526], Loss: 0.6314
Epoch [13/100], Step[160/526], Loss: 0.5635
Epoch [13/100], Step[161/526], Loss: 1.2738
Epoch [13/100], Step[162/526], Loss: 0.6931
Epoch [13/100], Step[163/526], Loss: 0.7730
Epoch [13/100], Step[164/526], Loss: 0.6307
Epoch [13/100], Step[165/526], Loss: 0.7334
Epoch [13/100], Step[166/526], Loss: 0.4373
Epoch [13/100], Step[167/526], Loss: 0.4994
Epoch [13/100], Step[168/526], Loss: 0.7073
Epoch [13/100], Step[169/526], Loss: 0.8017
Epoch [13/100], Step[170/526], Loss: 0.7108
Epoch [13/100], Step[171/526], Loss: 0.7327
Epoch [13/100], Step[172/526], Loss: 0.7411
Epoch [13/100], Step[173/526], Loss: 0.8519
Epoch [13/100], Step[174/526], Loss: 0.6450
Epoch [13/100], Step[175/526], Loss: 0.6381
Epoch [13/100], Step[176/526], Loss: 0.6317
Epoch [13/100], Step[177/526], Loss: 0.6534
Epoch [13/100], Step[178/526], Loss: 0.7148
Epoch [13/100], Step[179/526], Loss: 0.6350
Epoch [13/100], Step[180/526], Loss: 0.6949
Epoch [13/100], Step[181/526], Loss: 0.6184
Epoch [13/100], Step[182/526], Loss: 0.6913
Epoch [13/100], Step[183/526], Loss: 0.5080
Epoch [13/100], Step[184/526], Loss: 0.5824
Epoch [13/100], Step[185/526], Loss: 0.5703
Epoch [13/100], Step[186/526], Loss: 0.6697
Epoch [13/100], Step[187/526], Loss: 0.7378
Epoch [13/100], Step[188/526], Loss: 0.7252
Epoch [13/100], Step[189/526], Loss: 0.6933
Epoch [13/100], Step[190/526], Loss: 0.6118
Epoch [13/100], Step[191/526], Loss: 0.7539
Epoch [13/100], Step[192/526], Loss: 0.8033
Epoch [13/100], Step[193/526], Loss: 0.6604
Epoch [13/100], Step[194/526], Loss: 0.6340
Epoch [13/100], Step[195/526], Loss: 0.6489
Epoch [13/100], Step[196/526], Loss: 0.7463
Epoch [13/100], Step[197/526], Loss: 0.7083
Epoch [13/100], Step[198/526], Loss: 0.6148
Epoch [13/100], Step[199/526], Loss: 0.6959
Epoch [13/100], Step[200/526], Loss: 0.6454
Epoch [13/100], Step[201/526], Loss: 0.6909
Epoch [13/100], Step[202/526], Loss: 0.8071
Epoch [13/100], Step[203/526], Loss: 0.6934
Epoch [13/100], Step[204/526], Loss: 0.8096
Epoch [13/100], Step[205/526], Loss: 0.7433
Epoch [13/100], Step[206/526], Loss: 0.6774
Epoch [13/100], Step[207/526], Loss: 0.7059
Epoch [13/100], Step[208/526], Loss: 0.6853
Epoch [13/100], Step[209/526], Loss: 0.6898
Epoch [13/100], Step[210/526], Loss: 0.7706
Epoch [13/100], Step[211/526], Loss: 0.6203
Epoch [13/100], Step[212/526], Loss: 0.6878
Epoch [13/100], Step[213/526], Loss: 0.7256
Epoch [13/100], Step[214/526], Loss: 0.7500
Epoch [13/100], Step[215/526], Loss: 0.6972
Epoch [13/100], Step[216/526], Loss: 0.6840
Epoch [13/100], Step[217/526], Loss: 0.6845
Epoch [13/100], Step[218/526], Loss: 0.6904
Epoch [13/100], Step[219/526], Loss: 0.7016
Epoch [13/100], Step[220/526], Loss: 0.7116
Epoch [13/100], Step[221/526], Loss: 0.7078
Epoch [13/100], Step[222/526], Loss: 0.7131
Epoch [13/100], Step[223/526], Loss: 0.6817
Epoch [13/100], Step[224/526], Loss: 0.6814
Epoch [13/100], Step[225/526], Loss: 0.7038
Epoch [13/100], Step[226/526], Loss: 0.6792
Epoch [13/100], Step[227/526], Loss: 0.6703
Epoch [13/100], Step[228/526], Loss: 0.6652
Epoch [13/100], Step[229/526], Loss: 0.6877
Epoch [13/100], Step[230/526], Loss: 0.6522
Epoch [13/100], Step[231/526], Loss: 0.6787
Epoch [13/100], Step[232/526], Loss: 0.7350
Epoch [13/100], Step[233/526], Loss: 0.6870
Epoch [13/100], Step[234/526], Loss: 0.6915
Epoch [13/100], Step[235/526], Loss: 0.6944
Epoch [13/100], Step[236/526], Loss: 0.6804
Epoch [13/100], Step[237/526], Loss: 0.7304
Epoch [13/100], Step[238/526], Loss: 0.7009
Epoch [13/100], Step[239/526], Loss: 0.6744
Epoch [13/100], Step[240/526], Loss: 0.7190
Epoch [13/100], Step[241/526], Loss: 0.6967
Epoch [13/100], Step[242/526], Loss: 0.7091
Epoch [13/100], Step[243/526], Loss: 0.6605
Epoch [13/100], Step[244/526], Loss: 0.6433
Epoch [13/100], Step[245/526], Loss: 0.6455
Epoch [13/100], Step[246/526], Loss: 0.6709
Epoch [13/100], Step[247/526], Loss: 0.6254
Epoch [13/100], Step[248/526], Loss: 0.6492
Epoch [13/100], Step[249/526], Loss: 0.6575
Epoch [13/100], Step[250/526], Loss: 0.6778
Epoch [13/100], Step[251/526], Loss: 0.6936
Epoch [13/100], Step[252/526], Loss: 0.6978
Epoch [13/100], Step[253/526], Loss: 0.6366
Epoch [13/100], Step[254/526], Loss: 0.6738
Epoch [13/100], Step[255/526], Loss: 0.6100
Epoch [13/100], Step[256/526], Loss: 0.6857
Epoch [13/100], Step[257/526], Loss: 0.6501
Epoch [13/100], Step[258/526], Loss: 0.6490
Epoch [13/100], Step[259/526], Loss: 0.6913
Epoch [13/100], Step[260/526], Loss: 0.7205
Epoch [13/100], Step[261/526], Loss: 0.7398
Epoch [13/100], Step[262/526], Loss: 0.6745
Epoch [13/100], Step[263/526], Loss: 0.6592
Epoch [13/100], Step[264/526], Loss: 0.6385
Epoch [13/100], Step[265/526], Loss: 0.6150
Epoch [13/100], Step[266/526], Loss: 0.6002
Epoch [13/100], Step[267/526], Loss: 0.5120
Epoch [13/100], Step[268/526], Loss: 0.5825
Epoch [13/100], Step[269/526], Loss: 0.4960
Epoch [13/100], Step[270/526], Loss: 0.4511
Epoch [13/100], Step[271/526], Loss: 0.5425
Epoch [13/100], Step[272/526], Loss: 0.5535
Epoch [13/100], Step[273/526], Loss: 0.6275
Epoch [13/100], Step[274/526], Loss: 0.4919
Epoch [13/100], Step[275/526], Loss: 0.4636
Epoch [13/100], Step[276/526], Loss: 0.5024
Epoch [13/100], Step[277/526], Loss: 0.4599
Epoch [13/100], Step[278/526], Loss: 0.4790
Epoch [13/100], Step[279/526], Loss: 0.4323
Epoch [13/100], Step[280/526], Loss: 0.4704
Epoch [13/100], Step[281/526], Loss: 0.5978
Epoch [13/100], Step[282/526], Loss: 0.4007
Epoch [13/100], Step[283/526], Loss: 0.3758
Epoch [13/100], Step[284/526], Loss: 0.4235
Epoch [13/100], Step[285/526], Loss: 0.3189
Epoch [13/100], Step[286/526], Loss: 0.6741
Epoch [13/100], Step[287/526], Loss: 0.4963
Epoch [13/100], Step[288/526], Loss: 0.4470
Epoch [13/100], Step[289/526], Loss: 0.5931
Epoch [13/100], Step[290/526], Loss: 0.4405
Epoch [13/100], Step[291/526], Loss: 0.4876
Epoch [13/100], Step[292/526], Loss: 0.2892
Epoch [13/100], Step[293/526], Loss: 0.3236
Epoch [13/100], Step[294/526], Loss: 0.3562
Epoch [13/100], Step[295/526], Loss: 0.4204
Epoch [13/100], Step[296/526], Loss: 0.5960
Epoch [13/100], Step[297/526], Loss: 0.2959
Epoch [13/100], Step[298/526], Loss: 0.3287
Epoch [13/100], Step[299/526], Loss: 0.2884
Epoch [13/100], Step[300/526], Loss: 0.3392
Epoch [13/100], Step[301/526], Loss: 0.5841
Epoch [13/100], Step[302/526], Loss: 0.3282
Epoch [13/100], Step[303/526], Loss: 0.4903
Epoch [13/100], Step[304/526], Loss: 0.2743
Epoch [13/100], Step[305/526], Loss: 0.3007
Epoch [13/100], Step[306/526], Loss: 0.5744
Epoch [13/100], Step[307/526], Loss: 0.8591
Epoch [13/100], Step[308/526], Loss: 1.2390
Epoch [13/100], Step[309/526], Loss: 0.9288
Epoch [13/100], Step[310/526], Loss: 0.9428
Epoch [13/100], Step[311/526], Loss: 0.8145
Epoch [13/100], Step[312/526], Loss: 0.5030
Epoch [13/100], Step[313/526], Loss: 0.4818
Epoch [13/100], Step[314/526], Loss: 0.6329
Epoch [13/100], Step[315/526], Loss: 0.7124
Epoch [13/100], Step[316/526], Loss: 0.5133
Epoch [13/100], Step[317/526], Loss: 0.3074
Epoch [13/100], Step[318/526], Loss: 0.7213
Epoch [13/100], Step[319/526], Loss: 0.3736
Epoch [13/100], Step[320/526], Loss: 0.5748
Epoch [13/100], Step[321/526], Loss: 0.7717
Epoch [13/100], Step[322/526], Loss: 0.2871
Epoch [13/100], Step[323/526], Loss: 0.5951
Epoch [13/100], Step[324/526], Loss: 0.6790
Epoch [13/100], Step[325/526], Loss: 0.5832
Epoch [13/100], Step[326/526], Loss: 0.8084
Epoch [13/100], Step[327/526], Loss: 0.7498
Epoch [13/100], Step[328/526], Loss: 0.8801
Epoch [13/100], Step[329/526], Loss: 1.1641
Epoch [13/100], Step[330/526], Loss: 0.9103
Epoch [13/100], Step[331/526], Loss: 0.8524
Epoch [13/100], Step[332/526], Loss: 0.8853
Epoch [13/100], Step[333/526], Loss: 0.7661
Epoch [13/100], Step[334/526], Loss: 0.8049
Epoch [13/100], Step[335/526], Loss: 0.8598
Epoch [13/100], Step[336/526], Loss: 0.6771
Epoch [13/100], Step[337/526], Loss: 0.6067
Epoch [13/100], Step[338/526], Loss: 0.7161
Epoch [13/100], Step[339/526], Loss: 0.6596
Epoch [13/100], Step[340/526], Loss: 0.7378
Epoch [13/100], Step[341/526], Loss: 0.8078
Epoch [13/100], Step[342/526], Loss: 0.8111
Epoch [13/100], Step[343/526], Loss: 0.5607
Epoch [13/100], Step[344/526], Loss: 0.7423
Epoch [13/100], Step[345/526], Loss: 0.6681
Epoch [13/100], Step[346/526], Loss: 0.6899
Epoch [13/100], Step[347/526], Loss: 0.6963
Epoch [13/100], Step[348/526], Loss: 0.6500
Epoch [13/100], Step[349/526], Loss: 0.5787
Epoch [13/100], Step[350/526], Loss: 0.6817
Epoch [13/100], Step[351/526], Loss: 0.7291
Epoch [13/100], Step[352/526], Loss: 0.6080
Epoch [13/100], Step[353/526], Loss: 0.7065
Epoch [13/100], Step[354/526], Loss: 0.6723
Epoch [13/100], Step[355/526], Loss: 0.6818
Epoch [13/100], Step[356/526], Loss: 0.7128
Epoch [13/100], Step[357/526], Loss: 0.6626
Epoch [13/100], Step[358/526], Loss: 0.6939
Epoch [13/100], Step[359/526], Loss: 0.6683
Epoch [13/100], Step[360/526], Loss: 0.6714
Epoch [13/100], Step[361/526], Loss: 0.7644
Epoch [13/100], Step[362/526], Loss: 0.7253
Epoch [13/100], Step[363/526], Loss: 0.6855
Epoch [13/100], Step[364/526], Loss: 0.7280
Epoch [13/100], Step[365/526], Loss: 0.7239
Epoch [13/100], Step[366/526], Loss: 0.6867
Epoch [13/100], Step[367/526], Loss: 0.6878
Epoch [13/100], Step[368/526], Loss: 0.6567
Epoch [13/100], Step[369/526], Loss: 0.6650
Epoch [13/100], Step[370/526], Loss: 0.6031
Epoch [13/100], Step[371/526], Loss: 0.7486
Epoch [13/100], Step[372/526], Loss: 0.6509
Epoch [13/100], Step[373/526], Loss: 0.6833
Epoch [13/100], Step[374/526], Loss: 0.7002
Epoch [13/100], Step[375/526], Loss: 0.6615
Epoch [13/100], Step[376/526], Loss: 0.6558
Epoch [13/100], Step[377/526], Loss: 0.6823
Epoch [13/100], Step[378/526], Loss: 0.7035
Epoch [13/100], Step[379/526], Loss: 0.7264
Epoch [13/100], Step[380/526], Loss: 0.6073
Epoch [13/100], Step[381/526], Loss: 0.5903
Epoch [13/100], Step[382/526], Loss: 0.6773
Epoch [13/100], Step[383/526], Loss: 0.8018
Epoch [13/100], Step[384/526], Loss: 0.6534
Epoch [13/100], Step[385/526], Loss: 0.7059
Epoch [13/100], Step[386/526], Loss: 0.6670
Epoch [13/100], Step[387/526], Loss: 0.6558
Epoch [13/100], Step[388/526], Loss: 0.6002
Epoch [13/100], Step[389/526], Loss: 0.7080
Epoch [13/100], Step[390/526], Loss: 0.6114
Epoch [13/100], Step[391/526], Loss: 0.6586
Epoch [13/100], Step[392/526], Loss: 0.6982
Epoch [13/100], Step[393/526], Loss: 0.6103
Epoch [13/100], Step[394/526], Loss: 0.5292
Epoch [13/100], Step[395/526], Loss: 0.6344
Epoch [13/100], Step[396/526], Loss: 0.6311
Epoch [13/100], Step[397/526], Loss: 0.4931
Epoch [13/100], Step[398/526], Loss: 0.5955
Epoch [13/100], Step[399/526], Loss: 0.6481
Epoch [13/100], Step[400/526], Loss: 0.4886
Epoch [13/100], Step[401/526], Loss: 0.5751
Epoch [13/100], Step[402/526], Loss: 0.6217
Epoch [13/100], Step[403/526], Loss: 0.7039
Epoch [13/100], Step[404/526], Loss: 0.4962
Epoch [13/100], Step[405/526], Loss: 0.5133
Epoch [13/100], Step[406/526], Loss: 0.6515
Epoch [13/100], Step[407/526], Loss: 0.7271
Epoch [13/100], Step[408/526], Loss: 0.6480
Epoch [13/100], Step[409/526], Loss: 0.4482
Epoch [13/100], Step[410/526], Loss: 0.4761
Epoch [13/100], Step[411/526], Loss: 0.5310
Epoch [13/100], Step[412/526], Loss: 0.5781
Epoch [13/100], Step[413/526], Loss: 0.5892
Epoch [13/100], Step[414/526], Loss: 0.6317
Epoch [13/100], Step[415/526], Loss: 0.6208
Epoch [13/100], Step[416/526], Loss: 0.5320
Epoch [13/100], Step[417/526], Loss: 0.4724
Epoch [13/100], Step[418/526], Loss: 0.7625
Epoch [13/100], Step[419/526], Loss: 0.7140
Epoch [13/100], Step[420/526], Loss: 0.6829
Epoch [13/100], Step[421/526], Loss: 0.6232
Epoch [13/100], Step[422/526], Loss: 0.7918
Epoch [13/100], Step[423/526], Loss: 0.7118
Epoch [13/100], Step[424/526], Loss: 0.7388
Epoch [13/100], Step[425/526], Loss: 0.7134
Epoch [13/100], Step[426/526], Loss: 0.7642
Epoch [13/100], Step[427/526], Loss: 0.6783
Epoch [13/100], Step[428/526], Loss: 0.7102
Epoch [13/100], Step[429/526], Loss: 0.7321
Epoch [13/100], Step[430/526], Loss: 0.8166
Epoch [13/100], Step[431/526], Loss: 0.7317
Epoch [13/100], Step[432/526], Loss: 0.7469
Epoch [13/100], Step[433/526], Loss: 0.6979
Epoch [13/100], Step[434/526], Loss: 0.6233
Epoch [13/100], Step[435/526], Loss: 0.7902
Epoch [13/100], Step[436/526], Loss: 0.7944
Epoch [13/100], Step[437/526], Loss: 0.5353
Epoch [13/100], Step[438/526], Loss: 0.3783
Epoch [13/100], Step[439/526], Loss: 0.7536
Epoch [13/100], Step[440/526], Loss: 0.6833
Epoch [13/100], Step[441/526], Loss: 0.7056
Epoch [13/100], Step[442/526], Loss: 0.6382
Epoch [13/100], Step[443/526], Loss: 0.6737
Epoch [13/100], Step[444/526], Loss: 0.7624
Epoch [13/100], Step[445/526], Loss: 0.6917
Epoch [13/100], Step[446/526], Loss: 0.7260
Epoch [13/100], Step[447/526], Loss: 0.7152
Epoch [13/100], Step[448/526], Loss: 0.7784
Epoch [13/100], Step[449/526], Loss: 0.7208
Epoch [13/100], Step[450/526], Loss: 0.6066
Epoch [13/100], Step[451/526], Loss: 0.6184
Epoch [13/100], Step[452/526], Loss: 0.7355
Epoch [13/100], Step[453/526], Loss: 0.7374
Epoch [13/100], Step[454/526], Loss: 0.8234
Epoch [13/100], Step[455/526], Loss: 0.6691
Epoch [13/100], Step[456/526], Loss: 0.6373
Epoch [13/100], Step[457/526], Loss: 0.6921
Epoch [13/100], Step[458/526], Loss: 0.6642
Epoch [13/100], Step[459/526], Loss: 0.6749
Epoch [13/100], Step[460/526], Loss: 0.6633
Epoch [13/100], Step[461/526], Loss: 0.6344
Epoch [13/100], Step[462/526], Loss: 0.6716
Epoch [13/100], Step[463/526], Loss: 0.6530
Epoch [13/100], Step[464/526], Loss: 0.6614
Epoch [13/100], Step[465/526], Loss: 0.6730
Epoch [13/100], Step[466/526], Loss: 0.6629
Epoch [13/100], Step[467/526], Loss: 0.6513
Epoch [13/100], Step[468/526], Loss: 0.6438
Epoch [13/100], Step[469/526], Loss: 0.7884
Epoch [13/100], Step[470/526], Loss: 0.6628
Epoch [13/100], Step[471/526], Loss: 0.7018
Epoch [13/100], Step[472/526], Loss: 0.6779
Epoch [13/100], Step[473/526], Loss: 0.6774
Epoch [13/100], Step[474/526], Loss: 0.6728
Epoch [13/100], Step[475/526], Loss: 0.7870
Epoch [13/100], Step[476/526], Loss: 0.7626
Epoch [13/100], Step[477/526], Loss: 0.7017
Epoch [13/100], Step[478/526], Loss: 0.7005
Epoch [13/100], Step[479/526], Loss: 0.6700
Epoch [13/100], Step[480/526], Loss: 0.7405
Epoch [13/100], Step[481/526], Loss: 0.6998
Epoch [13/100], Step[482/526], Loss: 0.6373
Epoch [13/100], Step[483/526], Loss: 0.5657
Epoch [13/100], Step[484/526], Loss: 0.6856
Epoch [13/100], Step[485/526], Loss: 0.7955
Epoch [13/100], Step[486/526], Loss: 0.7062
Epoch [13/100], Step[487/526], Loss: 0.7376
Epoch [13/100], Step[488/526], Loss: 0.6952
Epoch [13/100], Step[489/526], Loss: 0.6472
Epoch [13/100], Step[490/526], Loss: 0.6249
Epoch [13/100], Step[491/526], Loss: 0.7049
Epoch [13/100], Step[492/526], Loss: 0.6695
Epoch [13/100], Step[493/526], Loss: 0.6693
Epoch [13/100], Step[494/526], Loss: 0.6476
Epoch [13/100], Step[495/526], Loss: 0.6863
Epoch [13/100], Step[496/526], Loss: 0.6763
Epoch [13/100], Step[497/526], Loss: 0.6448
Epoch [13/100], Step[498/526], Loss: 0.6816
Epoch [13/100], Step[499/526], Loss: 0.6831
Epoch [13/100], Step[500/526], Loss: 0.6811
Epoch [13/100], Step[501/526], Loss: 0.6610
Epoch [13/100], Step[502/526], Loss: 0.6946
Epoch [13/100], Step[503/526], Loss: 0.7064
Epoch [13/100], Step[504/526], Loss: 0.6910
Epoch [13/100], Step[505/526], Loss: 0.7069
Epoch [13/100], Step[506/526], Loss: 0.6878
Epoch [13/100], Step[507/526], Loss: 0.6770
Epoch [13/100], Step[508/526], Loss: 0.6947
Epoch [13/100], Step[509/526], Loss: 0.6641
Epoch [13/100], Step[510/526], Loss: 0.6988
Epoch [13/100], Step[511/526], Loss: 0.6450
Epoch [13/100], Step[512/526], Loss: 0.6763
Epoch [13/100], Step[513/526], Loss: 0.6594
Epoch [13/100], Step[514/526], Loss: 0.6500
Epoch [13/100], Step[515/526], Loss: 0.6555
Epoch [13/100], Step[516/526], Loss: 0.7384
Epoch [13/100], Step[517/526], Loss: 0.6949
Epoch [13/100], Step[518/526], Loss: 0.7227
Epoch [13/100], Step[519/526], Loss: 0.7130
Epoch [13/100], Step[520/526], Loss: 0.6719
Epoch [13/100], Step[521/526], Loss: 0.6624
Epoch [13/100], Step[522/526], Loss: 0.6286
Epoch [13/100], Step[523/526], Loss: 0.6490
Epoch [13/100], Step[524/526], Loss: 0.6492
Epoch [13/100], Step[525/526], Loss: 0.7403
Epoch [13/100], Step[526/526], Loss: 0.6865
Epoch [14/100], Step[1/526], Loss: 0.6625
Epoch [14/100], Step[2/526], Loss: 0.6495
Epoch [14/100], Step[3/526], Loss: 0.6701
Epoch [14/100], Step[4/526], Loss: 0.6413
Epoch [14/100], Step[5/526], Loss: 0.7270
Epoch [14/100], Step[6/526], Loss: 0.7256
Epoch [14/100], Step[7/526], Loss: 0.7005
Epoch [14/100], Step[8/526], Loss: 0.6874
Epoch [14/100], Step[9/526], Loss: 0.7087
Epoch [14/100], Step[10/526], Loss: 0.6895
Epoch [14/100], Step[11/526], Loss: 0.6646
Epoch [14/100], Step[12/526], Loss: 0.7179
Epoch [14/100], Step[13/526], Loss: 0.6409
Epoch [14/100], Step[14/526], Loss: 0.6660
Epoch [14/100], Step[15/526], Loss: 0.6904
Epoch [14/100], Step[16/526], Loss: 0.6961
Epoch [14/100], Step[17/526], Loss: 0.6933
Epoch [14/100], Step[18/526], Loss: 0.7020
Epoch [14/100], Step[19/526], Loss: 0.6687
Epoch [14/100], Step[20/526], Loss: 0.7167
Epoch [14/100], Step[21/526], Loss: 0.7294
Epoch [14/100], Step[22/526], Loss: 0.7175
Epoch [14/100], Step[23/526], Loss: 0.7344
Epoch [14/100], Step[24/526], Loss: 0.7130
Epoch [14/100], Step[25/526], Loss: 0.6898
Epoch [14/100], Step[26/526], Loss: 0.6399
Epoch [14/100], Step[27/526], Loss: 0.6931
Epoch [14/100], Step[28/526], Loss: 0.6959
Epoch [14/100], Step[29/526], Loss: 0.6583
Epoch [14/100], Step[30/526], Loss: 0.6848
Epoch [14/100], Step[31/526], Loss: 0.7082
Epoch [14/100], Step[32/526], Loss: 0.6732
Epoch [14/100], Step[33/526], Loss: 0.7136
Epoch [14/100], Step[34/526], Loss: 0.6830
Epoch [14/100], Step[35/526], Loss: 0.7061
Epoch [14/100], Step[36/526], Loss: 0.6930
Epoch [14/100], Step[37/526], Loss: 0.6935
Epoch [14/100], Step[38/526], Loss: 0.6891
Epoch [14/100], Step[39/526], Loss: 0.7151
Epoch [14/100], Step[40/526], Loss: 0.7227
Epoch [14/100], Step[41/526], Loss: 0.6519
Epoch [14/100], Step[42/526], Loss: 0.7228
Epoch [14/100], Step[43/526], Loss: 0.7150
Epoch [14/100], Step[44/526], Loss: 0.6849
Epoch [14/100], Step[45/526], Loss: 0.6801
Epoch [14/100], Step[46/526], Loss: 0.6838
Epoch [14/100], Step[47/526], Loss: 0.7104
Epoch [14/100], Step[48/526], Loss: 0.7177
Epoch [14/100], Step[49/526], Loss: 0.7022
Epoch [14/100], Step[50/526], Loss: 0.7164
Epoch [14/100], Step[51/526], Loss: 0.6978
Epoch [14/100], Step[52/526], Loss: 0.6872
Epoch [14/100], Step[53/526], Loss: 0.7217
Epoch [14/100], Step[54/526], Loss: 0.6958
Epoch [14/100], Step[55/526], Loss: 0.6965
Epoch [14/100], Step[56/526], Loss: 0.6950
Epoch [14/100], Step[57/526], Loss: 0.6851
Epoch [14/100], Step[58/526], Loss: 0.6751
Epoch [14/100], Step[59/526], Loss: 0.6736
Epoch [14/100], Step[60/526], Loss: 0.6737
Epoch [14/100], Step[61/526], Loss: 0.6486
Epoch [14/100], Step[62/526], Loss: 0.6923
Epoch [14/100], Step[63/526], Loss: 0.6850
Epoch [14/100], Step[64/526], Loss: 0.6790
Epoch [14/100], Step[65/526], Loss: 0.7132
Epoch [14/100], Step[66/526], Loss: 0.6813
Epoch [14/100], Step[67/526], Loss: 0.6711
Epoch [14/100], Step[68/526], Loss: 0.6559
Epoch [14/100], Step[69/526], Loss: 0.7017
Epoch [14/100], Step[70/526], Loss: 0.6847
Epoch [14/100], Step[71/526], Loss: 0.6645
Epoch [14/100], Step[72/526], Loss: 0.6707
Epoch [14/100], Step[73/526], Loss: 0.7044
Epoch [14/100], Step[74/526], Loss: 0.6643
Epoch [14/100], Step[75/526], Loss: 0.7123
Epoch [14/100], Step[76/526], Loss: 0.6993
Epoch [14/100], Step[77/526], Loss: 0.6804
Epoch [14/100], Step[78/526], Loss: 0.7054
Epoch [14/100], Step[79/526], Loss: 0.6978
Epoch [14/100], Step[80/526], Loss: 0.6997
Epoch [14/100], Step[81/526], Loss: 0.7021
Epoch [14/100], Step[82/526], Loss: 0.7349
Epoch [14/100], Step[83/526], Loss: 0.7128
Epoch [14/100], Step[84/526], Loss: 0.6957
Epoch [14/100], Step[85/526], Loss: 0.6637
Epoch [14/100], Step[86/526], Loss: 0.7058
Epoch [14/100], Step[87/526], Loss: 0.6801
Epoch [14/100], Step[88/526], Loss: 0.6841
Epoch [14/100], Step[89/526], Loss: 0.7132
Epoch [14/100], Step[90/526], Loss: 0.6909
Epoch [14/100], Step[91/526], Loss: 0.6753
Epoch [14/100], Step[92/526], Loss: 0.6705
Epoch [14/100], Step[93/526], Loss: 0.6767
Epoch [14/100], Step[94/526], Loss: 0.7971
Epoch [14/100], Step[95/526], Loss: 0.7098
Epoch [14/100], Step[96/526], Loss: 0.6350
Epoch [14/100], Step[97/526], Loss: 0.6175
Epoch [14/100], Step[98/526], Loss: 0.7049
Epoch [14/100], Step[99/526], Loss: 0.6775
Epoch [14/100], Step[100/526], Loss: 0.6870
Epoch [14/100], Step[101/526], Loss: 0.6586
Epoch [14/100], Step[102/526], Loss: 0.6313
Epoch [14/100], Step[103/526], Loss: 0.6434
Epoch [14/100], Step[104/526], Loss: 0.6431
Epoch [14/100], Step[105/526], Loss: 0.6561
Epoch [14/100], Step[106/526], Loss: 0.6835
Epoch [14/100], Step[107/526], Loss: 0.6553
Epoch [14/100], Step[108/526], Loss: 0.5978
Epoch [14/100], Step[109/526], Loss: 0.6837
Epoch [14/100], Step[110/526], Loss: 0.6901
Epoch [14/100], Step[111/526], Loss: 0.6033
Epoch [14/100], Step[112/526], Loss: 0.7299
Epoch [14/100], Step[113/526], Loss: 0.6194
Epoch [14/100], Step[114/526], Loss: 0.6656
Epoch [14/100], Step[115/526], Loss: 0.6222
Epoch [14/100], Step[116/526], Loss: 0.6246
Epoch [14/100], Step[117/526], Loss: 0.6325
Epoch [14/100], Step[118/526], Loss: 0.7317
Epoch [14/100], Step[119/526], Loss: 0.6750
Epoch [14/100], Step[120/526], Loss: 0.6709
Epoch [14/100], Step[121/526], Loss: 0.6999
Epoch [14/100], Step[122/526], Loss: 0.6493
Epoch [14/100], Step[123/526], Loss: 0.6539
Epoch [14/100], Step[124/526], Loss: 0.6763
Epoch [14/100], Step[125/526], Loss: 0.6504
Epoch [14/100], Step[126/526], Loss: 0.7071
Epoch [14/100], Step[127/526], Loss: 0.6702
Epoch [14/100], Step[128/526], Loss: 0.6498
Epoch [14/100], Step[129/526], Loss: 0.5992
Epoch [14/100], Step[130/526], Loss: 0.6198
Epoch [14/100], Step[131/526], Loss: 0.6794
Epoch [14/100], Step[132/526], Loss: 0.7286
Epoch [14/100], Step[133/526], Loss: 0.6774
Epoch [14/100], Step[134/526], Loss: 0.6324
Epoch [14/100], Step[135/526], Loss: 0.6495
Epoch [14/100], Step[136/526], Loss: 0.5805
Epoch [14/100], Step[137/526], Loss: 0.6205
Epoch [14/100], Step[138/526], Loss: 0.6573
Epoch [14/100], Step[139/526], Loss: 0.7077
Epoch [14/100], Step[140/526], Loss: 0.6096
Epoch [14/100], Step[141/526], Loss: 0.6858
Epoch [14/100], Step[142/526], Loss: 0.6694
Epoch [14/100], Step[143/526], Loss: 0.6889
Epoch [14/100], Step[144/526], Loss: 0.7847
Epoch [14/100], Step[145/526], Loss: 0.5754
Epoch [14/100], Step[146/526], Loss: 0.5256
Epoch [14/100], Step[147/526], Loss: 0.4974
Epoch [14/100], Step[148/526], Loss: 0.5923
Epoch [14/100], Step[149/526], Loss: 0.5178
Epoch [14/100], Step[150/526], Loss: 0.6312
Epoch [14/100], Step[151/526], Loss: 0.5804
Epoch [14/100], Step[152/526], Loss: 0.6322
Epoch [14/100], Step[153/526], Loss: 0.6370
Epoch [14/100], Step[154/526], Loss: 0.7336
Epoch [14/100], Step[155/526], Loss: 0.6836
Epoch [14/100], Step[156/526], Loss: 0.5275
Epoch [14/100], Step[157/526], Loss: 0.3145
Epoch [14/100], Step[158/526], Loss: 0.5877
Epoch [14/100], Step[159/526], Loss: 0.6745
Epoch [14/100], Step[160/526], Loss: 0.5466
Epoch [14/100], Step[161/526], Loss: 1.0323
Epoch [14/100], Step[162/526], Loss: 0.6896
Epoch [14/100], Step[163/526], Loss: 0.7416
Epoch [14/100], Step[164/526], Loss: 0.6169
Epoch [14/100], Step[165/526], Loss: 0.7142
Epoch [14/100], Step[166/526], Loss: 0.4673
Epoch [14/100], Step[167/526], Loss: 0.5288
Epoch [14/100], Step[168/526], Loss: 0.7009
Epoch [14/100], Step[169/526], Loss: 0.7895
Epoch [14/100], Step[170/526], Loss: 0.6991
Epoch [14/100], Step[171/526], Loss: 0.7801
Epoch [14/100], Step[172/526], Loss: 0.7331
Epoch [14/100], Step[173/526], Loss: 0.8476
Epoch [14/100], Step[174/526], Loss: 0.6580
Epoch [14/100], Step[175/526], Loss: 0.6427
Epoch [14/100], Step[176/526], Loss: 0.6308
Epoch [14/100], Step[177/526], Loss: 0.6567
Epoch [14/100], Step[178/526], Loss: 0.7102
Epoch [14/100], Step[179/526], Loss: 0.6414
Epoch [14/100], Step[180/526], Loss: 0.6941
Epoch [14/100], Step[181/526], Loss: 0.6267
Epoch [14/100], Step[182/526], Loss: 0.6877
Epoch [14/100], Step[183/526], Loss: 0.5072
Epoch [14/100], Step[184/526], Loss: 0.5834
Epoch [14/100], Step[185/526], Loss: 0.5694
Epoch [14/100], Step[186/526], Loss: 0.6609
Epoch [14/100], Step[187/526], Loss: 0.7313
Epoch [14/100], Step[188/526], Loss: 0.7201
Epoch [14/100], Step[189/526], Loss: 0.7096
Epoch [14/100], Step[190/526], Loss: 0.6163
Epoch [14/100], Step[191/526], Loss: 0.7495
Epoch [14/100], Step[192/526], Loss: 0.7955
Epoch [14/100], Step[193/526], Loss: 0.6613
Epoch [14/100], Step[194/526], Loss: 0.6263
Epoch [14/100], Step[195/526], Loss: 0.6529
Epoch [14/100], Step[196/526], Loss: 0.7349
Epoch [14/100], Step[197/526], Loss: 0.6976
Epoch [14/100], Step[198/526], Loss: 0.6199
Epoch [14/100], Step[199/526], Loss: 0.7167
Epoch [14/100], Step[200/526], Loss: 0.6380
Epoch [14/100], Step[201/526], Loss: 0.6920
Epoch [14/100], Step[202/526], Loss: 0.7731
Epoch [14/100], Step[203/526], Loss: 0.7013
Epoch [14/100], Step[204/526], Loss: 0.7735
Epoch [14/100], Step[205/526], Loss: 0.7240
Epoch [14/100], Step[206/526], Loss: 0.6745
Epoch [14/100], Step[207/526], Loss: 0.7147
Epoch [14/100], Step[208/526], Loss: 0.6824
Epoch [14/100], Step[209/526], Loss: 0.6714
Epoch [14/100], Step[210/526], Loss: 0.7724
Epoch [14/100], Step[211/526], Loss: 0.6749
Epoch [14/100], Step[212/526], Loss: 0.6642
Epoch [14/100], Step[213/526], Loss: 0.6880
Epoch [14/100], Step[214/526], Loss: 0.7274
Epoch [14/100], Step[215/526], Loss: 0.6866
Epoch [14/100], Step[216/526], Loss: 0.6822
Epoch [14/100], Step[217/526], Loss: 0.6852
Epoch [14/100], Step[218/526], Loss: 0.6826
Epoch [14/100], Step[219/526], Loss: 0.7239
Epoch [14/100], Step[220/526], Loss: 0.6731
Epoch [14/100], Step[221/526], Loss: 0.7380
Epoch [14/100], Step[222/526], Loss: 0.6281
Epoch [14/100], Step[223/526], Loss: 0.7453
Epoch [14/100], Step[224/526], Loss: 0.7018
Epoch [14/100], Step[225/526], Loss: 0.6763
Epoch [14/100], Step[226/526], Loss: 0.7844
Epoch [14/100], Step[227/526], Loss: 0.6387
Epoch [14/100], Step[228/526], Loss: 0.6712
Epoch [14/100], Step[229/526], Loss: 0.6752
Epoch [14/100], Step[230/526], Loss: 0.7008
Epoch [14/100], Step[231/526], Loss: 0.7311
Epoch [14/100], Step[232/526], Loss: 0.7711
Epoch [14/100], Step[233/526], Loss: 0.6752
Epoch [14/100], Step[234/526], Loss: 0.6708
Epoch [14/100], Step[235/526], Loss: 0.6623
Epoch [14/100], Step[236/526], Loss: 0.6683
Epoch [14/100], Step[237/526], Loss: 0.7276
Epoch [14/100], Step[238/526], Loss: 0.6870
Epoch [14/100], Step[239/526], Loss: 0.6579
Epoch [14/100], Step[240/526], Loss: 0.6872
Epoch [14/100], Step[241/526], Loss: 0.6776
Epoch [14/100], Step[242/526], Loss: 0.6811
Epoch [14/100], Step[243/526], Loss: 0.6797
Epoch [14/100], Step[244/526], Loss: 0.6446
Epoch [14/100], Step[245/526], Loss: 0.6614
Epoch [14/100], Step[246/526], Loss: 0.6710
Epoch [14/100], Step[247/526], Loss: 0.6192
Epoch [14/100], Step[248/526], Loss: 0.6432
Epoch [14/100], Step[249/526], Loss: 0.6486
Epoch [14/100], Step[250/526], Loss: 0.6768
Epoch [14/100], Step[251/526], Loss: 0.6884
Epoch [14/100], Step[252/526], Loss: 0.6989
Epoch [14/100], Step[253/526], Loss: 0.6338
Epoch [14/100], Step[254/526], Loss: 0.6858
Epoch [14/100], Step[255/526], Loss: 0.6100
Epoch [14/100], Step[256/526], Loss: 0.6838
Epoch [14/100], Step[257/526], Loss: 0.6311
Epoch [14/100], Step[258/526], Loss: 0.6557
Epoch [14/100], Step[259/526], Loss: 0.6975
Epoch [14/100], Step[260/526], Loss: 0.7129
Epoch [14/100], Step[261/526], Loss: 0.7210
Epoch [14/100], Step[262/526], Loss: 0.6579
Epoch [14/100], Step[263/526], Loss: 0.6427
Epoch [14/100], Step[264/526], Loss: 0.6155
Epoch [14/100], Step[265/526], Loss: 0.5843
Epoch [14/100], Step[266/526], Loss: 0.5622
Epoch [14/100], Step[267/526], Loss: 0.5417
Epoch [14/100], Step[268/526], Loss: 0.6016
Epoch [14/100], Step[269/526], Loss: 0.4869
Epoch [14/100], Step[270/526], Loss: 0.4511
Epoch [14/100], Step[271/526], Loss: 0.5423
Epoch [14/100], Step[272/526], Loss: 0.5639
Epoch [14/100], Step[273/526], Loss: 0.6274
Epoch [14/100], Step[274/526], Loss: 0.4795
Epoch [14/100], Step[275/526], Loss: 0.4604
Epoch [14/100], Step[276/526], Loss: 0.4738
Epoch [14/100], Step[277/526], Loss: 0.4420
Epoch [14/100], Step[278/526], Loss: 0.4705
Epoch [14/100], Step[279/526], Loss: 0.4078
Epoch [14/100], Step[280/526], Loss: 0.4666
Epoch [14/100], Step[281/526], Loss: 0.6031
Epoch [14/100], Step[282/526], Loss: 0.3795
Epoch [14/100], Step[283/526], Loss: 0.3492
Epoch [14/100], Step[284/526], Loss: 0.4137
Epoch [14/100], Step[285/526], Loss: 0.2918
Epoch [14/100], Step[286/526], Loss: 0.6747
Epoch [14/100], Step[287/526], Loss: 0.5045
Epoch [14/100], Step[288/526], Loss: 0.4340
Epoch [14/100], Step[289/526], Loss: 0.5914
Epoch [14/100], Step[290/526], Loss: 0.4230
Epoch [14/100], Step[291/526], Loss: 0.4854
Epoch [14/100], Step[292/526], Loss: 0.2604
Epoch [14/100], Step[293/526], Loss: 0.3174
Epoch [14/100], Step[294/526], Loss: 0.3430
Epoch [14/100], Step[295/526], Loss: 0.4041
Epoch [14/100], Step[296/526], Loss: 0.6105
Epoch [14/100], Step[297/526], Loss: 0.2757
Epoch [14/100], Step[298/526], Loss: 0.3073
Epoch [14/100], Step[299/526], Loss: 0.2710
Epoch [14/100], Step[300/526], Loss: 0.3381
Epoch [14/100], Step[301/526], Loss: 0.5882
Epoch [14/100], Step[302/526], Loss: 0.3143
Epoch [14/100], Step[303/526], Loss: 0.4867
Epoch [14/100], Step[304/526], Loss: 0.2627
Epoch [14/100], Step[305/526], Loss: 0.2882
Epoch [14/100], Step[306/526], Loss: 0.5821
Epoch [14/100], Step[307/526], Loss: 0.8728
Epoch [14/100], Step[308/526], Loss: 1.2715
Epoch [14/100], Step[309/526], Loss: 0.9403
Epoch [14/100], Step[310/526], Loss: 0.9616
Epoch [14/100], Step[311/526], Loss: 0.8233
Epoch [14/100], Step[312/526], Loss: 0.5113
Epoch [14/100], Step[313/526], Loss: 0.4791
Epoch [14/100], Step[314/526], Loss: 0.6383
Epoch [14/100], Step[315/526], Loss: 0.7143
Epoch [14/100], Step[316/526], Loss: 0.5158
Epoch [14/100], Step[317/526], Loss: 0.3070
Epoch [14/100], Step[318/526], Loss: 0.7145
Epoch [14/100], Step[319/526], Loss: 0.3721
Epoch [14/100], Step[320/526], Loss: 0.5594
Epoch [14/100], Step[321/526], Loss: 0.7969
Epoch [14/100], Step[322/526], Loss: 0.2956
Epoch [14/100], Step[323/526], Loss: 0.6002
Epoch [14/100], Step[324/526], Loss: 0.6830
Epoch [14/100], Step[325/526], Loss: 0.5771
Epoch [14/100], Step[326/526], Loss: 0.8206
Epoch [14/100], Step[327/526], Loss: 0.7361
Epoch [14/100], Step[328/526], Loss: 0.8969
Epoch [14/100], Step[329/526], Loss: 1.1596
Epoch [14/100], Step[330/526], Loss: 0.9113
Epoch [14/100], Step[331/526], Loss: 0.8522
Epoch [14/100], Step[332/526], Loss: 0.8891
Epoch [14/100], Step[333/526], Loss: 0.7796
Epoch [14/100], Step[334/526], Loss: 0.7843
Epoch [14/100], Step[335/526], Loss: 0.8579
Epoch [14/100], Step[336/526], Loss: 0.6762
Epoch [14/100], Step[337/526], Loss: 0.6054
Epoch [14/100], Step[338/526], Loss: 0.7221
Epoch [14/100], Step[339/526], Loss: 0.6579
Epoch [14/100], Step[340/526], Loss: 0.7349
Epoch [14/100], Step[341/526], Loss: 0.8052
Epoch [14/100], Step[342/526], Loss: 0.7981
Epoch [14/100], Step[343/526], Loss: 0.5592
Epoch [14/100], Step[344/526], Loss: 0.7335
Epoch [14/100], Step[345/526], Loss: 0.6588
Epoch [14/100], Step[346/526], Loss: 0.6891
Epoch [14/100], Step[347/526], Loss: 0.6949
Epoch [14/100], Step[348/526], Loss: 0.6499
Epoch [14/100], Step[349/526], Loss: 0.5853
Epoch [14/100], Step[350/526], Loss: 0.6786
Epoch [14/100], Step[351/526], Loss: 0.7206
Epoch [14/100], Step[352/526], Loss: 0.6174
Epoch [14/100], Step[353/526], Loss: 0.7062
Epoch [14/100], Step[354/526], Loss: 0.6707
Epoch [14/100], Step[355/526], Loss: 0.6793
Epoch [14/100], Step[356/526], Loss: 0.7137
Epoch [14/100], Step[357/526], Loss: 0.6605
Epoch [14/100], Step[358/526], Loss: 0.7001
Epoch [14/100], Step[359/526], Loss: 0.6713
Epoch [14/100], Step[360/526], Loss: 0.6711
Epoch [14/100], Step[361/526], Loss: 0.7541
Epoch [14/100], Step[362/526], Loss: 0.7130
Epoch [14/100], Step[363/526], Loss: 0.6836
Epoch [14/100], Step[364/526], Loss: 0.7306
Epoch [14/100], Step[365/526], Loss: 0.7350
Epoch [14/100], Step[366/526], Loss: 0.6843
Epoch [14/100], Step[367/526], Loss: 0.6832
Epoch [14/100], Step[368/526], Loss: 0.6518
Epoch [14/100], Step[369/526], Loss: 0.6555
Epoch [14/100], Step[370/526], Loss: 0.6079
Epoch [14/100], Step[371/526], Loss: 0.7579
Epoch [14/100], Step[372/526], Loss: 0.6465
Epoch [14/100], Step[373/526], Loss: 0.6767
Epoch [14/100], Step[374/526], Loss: 0.6916
Epoch [14/100], Step[375/526], Loss: 0.6547
Epoch [14/100], Step[376/526], Loss: 0.6516
Epoch [14/100], Step[377/526], Loss: 0.6712
Epoch [14/100], Step[378/526], Loss: 0.7023
Epoch [14/100], Step[379/526], Loss: 0.7329
Epoch [14/100], Step[380/526], Loss: 0.6037
Epoch [14/100], Step[381/526], Loss: 0.5934
Epoch [14/100], Step[382/526], Loss: 0.6674
Epoch [14/100], Step[383/526], Loss: 0.6803
Epoch [14/100], Step[384/526], Loss: 0.6414
Epoch [14/100], Step[385/526], Loss: 0.6374
Epoch [14/100], Step[386/526], Loss: 0.6535
Epoch [14/100], Step[387/526], Loss: 0.6571
Epoch [14/100], Step[388/526], Loss: 0.5925
Epoch [14/100], Step[389/526], Loss: 0.7119
Epoch [14/100], Step[390/526], Loss: 0.6065
Epoch [14/100], Step[391/526], Loss: 0.6463
Epoch [14/100], Step[392/526], Loss: 0.7003
Epoch [14/100], Step[393/526], Loss: 0.5978
Epoch [14/100], Step[394/526], Loss: 0.5127
Epoch [14/100], Step[395/526], Loss: 0.6445
Epoch [14/100], Step[396/526], Loss: 0.6257
Epoch [14/100], Step[397/526], Loss: 0.4915
Epoch [14/100], Step[398/526], Loss: 0.5948
Epoch [14/100], Step[399/526], Loss: 0.6529
Epoch [14/100], Step[400/526], Loss: 0.4801
Epoch [14/100], Step[401/526], Loss: 0.5700
Epoch [14/100], Step[402/526], Loss: 0.6191
Epoch [14/100], Step[403/526], Loss: 0.7034
Epoch [14/100], Step[404/526], Loss: 0.4889
Epoch [14/100], Step[405/526], Loss: 0.5071
Epoch [14/100], Step[406/526], Loss: 0.6544
Epoch [14/100], Step[407/526], Loss: 0.7282
Epoch [14/100], Step[408/526], Loss: 0.6496
Epoch [14/100], Step[409/526], Loss: 0.4427
Epoch [14/100], Step[410/526], Loss: 0.4740
Epoch [14/100], Step[411/526], Loss: 0.5311
Epoch [14/100], Step[412/526], Loss: 0.5757
Epoch [14/100], Step[413/526], Loss: 0.5853
Epoch [14/100], Step[414/526], Loss: 0.6272
Epoch [14/100], Step[415/526], Loss: 0.6256
Epoch [14/100], Step[416/526], Loss: 0.5460
Epoch [14/100], Step[417/526], Loss: 0.4692
Epoch [14/100], Step[418/526], Loss: 0.7705
Epoch [14/100], Step[419/526], Loss: 0.7002
Epoch [14/100], Step[420/526], Loss: 0.6844
Epoch [14/100], Step[421/526], Loss: 0.6186
Epoch [14/100], Step[422/526], Loss: 0.7928
Epoch [14/100], Step[423/526], Loss: 0.7165
Epoch [14/100], Step[424/526], Loss: 0.7423
Epoch [14/100], Step[425/526], Loss: 0.7131
Epoch [14/100], Step[426/526], Loss: 0.7662
Epoch [14/100], Step[427/526], Loss: 0.6827
Epoch [14/100], Step[428/526], Loss: 0.7079
Epoch [14/100], Step[429/526], Loss: 0.7321
Epoch [14/100], Step[430/526], Loss: 0.8197
Epoch [14/100], Step[431/526], Loss: 0.7301
Epoch [14/100], Step[432/526], Loss: 0.7465
Epoch [14/100], Step[433/526], Loss: 0.6963
Epoch [14/100], Step[434/526], Loss: 0.6225
Epoch [14/100], Step[435/526], Loss: 0.7949
Epoch [14/100], Step[436/526], Loss: 0.8011
Epoch [14/100], Step[437/526], Loss: 0.5304
Epoch [14/100], Step[438/526], Loss: 0.3793
Epoch [14/100], Step[439/526], Loss: 0.7585
Epoch [14/100], Step[440/526], Loss: 0.6835
Epoch [14/100], Step[441/526], Loss: 0.7064
Epoch [14/100], Step[442/526], Loss: 0.6357
Epoch [14/100], Step[443/526], Loss: 0.6722
Epoch [14/100], Step[444/526], Loss: 0.7692
Epoch [14/100], Step[445/526], Loss: 0.6925
Epoch [14/100], Step[446/526], Loss: 0.7250
Epoch [14/100], Step[447/526], Loss: 0.7178
Epoch [14/100], Step[448/526], Loss: 0.7762
Epoch [14/100], Step[449/526], Loss: 0.7146
Epoch [14/100], Step[450/526], Loss: 0.5973
Epoch [14/100], Step[451/526], Loss: 0.6206
Epoch [14/100], Step[452/526], Loss: 0.7472
Epoch [14/100], Step[453/526], Loss: 0.7430
Epoch [14/100], Step[454/526], Loss: 0.8176
Epoch [14/100], Step[455/526], Loss: 0.6603
Epoch [14/100], Step[456/526], Loss: 0.6304
Epoch [14/100], Step[457/526], Loss: 0.6925
Epoch [14/100], Step[458/526], Loss: 0.6586
Epoch [14/100], Step[459/526], Loss: 0.6687
Epoch [14/100], Step[460/526], Loss: 0.6519
Epoch [14/100], Step[461/526], Loss: 0.6225
Epoch [14/100], Step[462/526], Loss: 0.6666
Epoch [14/100], Step[463/526], Loss: 0.6426
Epoch [14/100], Step[464/526], Loss: 0.6566
Epoch [14/100], Step[465/526], Loss: 0.6649
Epoch [14/100], Step[466/526], Loss: 0.6572
Epoch [14/100], Step[467/526], Loss: 0.6428
Epoch [14/100], Step[468/526], Loss: 0.6389
Epoch [14/100], Step[469/526], Loss: 0.8103
Epoch [14/100], Step[470/526], Loss: 0.6567
Epoch [14/100], Step[471/526], Loss: 0.7060
Epoch [14/100], Step[472/526], Loss: 0.6695
Epoch [14/100], Step[473/526], Loss: 0.6742
Epoch [14/100], Step[474/526], Loss: 0.6689
Epoch [14/100], Step[475/526], Loss: 0.7965
Epoch [14/100], Step[476/526], Loss: 0.7678
Epoch [14/100], Step[477/526], Loss: 0.6954
Epoch [14/100], Step[478/526], Loss: 0.7036
Epoch [14/100], Step[479/526], Loss: 0.6671
Epoch [14/100], Step[480/526], Loss: 0.7439
Epoch [14/100], Step[481/526], Loss: 0.6989
Epoch [14/100], Step[482/526], Loss: 0.6435
Epoch [14/100], Step[483/526], Loss: 0.5642
Epoch [14/100], Step[484/526], Loss: 0.6825
Epoch [14/100], Step[485/526], Loss: 0.8114
Epoch [14/100], Step[486/526], Loss: 0.7108
Epoch [14/100], Step[487/526], Loss: 0.7463
Epoch [14/100], Step[488/526], Loss: 0.6888
Epoch [14/100], Step[489/526], Loss: 0.6395
Epoch [14/100], Step[490/526], Loss: 0.6140
Epoch [14/100], Step[491/526], Loss: 0.6991
Epoch [14/100], Step[492/526], Loss: 0.6640
Epoch [14/100], Step[493/526], Loss: 0.6602
Epoch [14/100], Step[494/526], Loss: 0.6478
Epoch [14/100], Step[495/526], Loss: 0.6880
Epoch [14/100], Step[496/526], Loss: 0.6741
Epoch [14/100], Step[497/526], Loss: 0.6429
Epoch [14/100], Step[498/526], Loss: 0.6849
Epoch [14/100], Step[499/526], Loss: 0.6811
Epoch [14/100], Step[500/526], Loss: 0.6806
Epoch [14/100], Step[501/526], Loss: 0.6582
Epoch [14/100], Step[502/526], Loss: 0.6951
Epoch [14/100], Step[503/526], Loss: 0.7055
Epoch [14/100], Step[504/526], Loss: 0.6898
Epoch [14/100], Step[505/526], Loss: 0.7115
Epoch [14/100], Step[506/526], Loss: 0.6898
Epoch [14/100], Step[507/526], Loss: 0.6776
Epoch [14/100], Step[508/526], Loss: 0.6968
Epoch [14/100], Step[509/526], Loss: 0.6653
Epoch [14/100], Step[510/526], Loss: 0.7015
Epoch [14/100], Step[511/526], Loss: 0.6404
Epoch [14/100], Step[512/526], Loss: 0.6734
Epoch [14/100], Step[513/526], Loss: 0.6508
Epoch [14/100], Step[514/526], Loss: 0.6497
Epoch [14/100], Step[515/526], Loss: 0.5974
Epoch [14/100], Step[516/526], Loss: 0.7438
Epoch [14/100], Step[517/526], Loss: 0.6985
Epoch [14/100], Step[518/526], Loss: 0.7355
Epoch [14/100], Step[519/526], Loss: 0.7170
Epoch [14/100], Step[520/526], Loss: 0.6716
Epoch [14/100], Step[521/526], Loss: 0.6660
Epoch [14/100], Step[522/526], Loss: 0.6267
Epoch [14/100], Step[523/526], Loss: 0.6486
Epoch [14/100], Step[524/526], Loss: 0.6463
Epoch [14/100], Step[525/526], Loss: 0.7428
Epoch [14/100], Step[526/526], Loss: 0.6903
Epoch [15/100], Step[1/526], Loss: 0.6593
Epoch [15/100], Step[2/526], Loss: 0.6468
Epoch [15/100], Step[3/526], Loss: 0.6694
Epoch [15/100], Step[4/526], Loss: 0.6379
Epoch [15/100], Step[5/526], Loss: 0.7297
Epoch [15/100], Step[6/526], Loss: 0.7257
Epoch [15/100], Step[7/526], Loss: 0.6966
Epoch [15/100], Step[8/526], Loss: 0.6854
Epoch [15/100], Step[9/526], Loss: 0.7069
Epoch [15/100], Step[10/526], Loss: 0.6848
Epoch [15/100], Step[11/526], Loss: 0.6637
Epoch [15/100], Step[12/526], Loss: 0.7183
Epoch [15/100], Step[13/526], Loss: 0.6389
Epoch [15/100], Step[14/526], Loss: 0.6681
Epoch [15/100], Step[15/526], Loss: 0.6881
Epoch [15/100], Step[16/526], Loss: 0.6958
Epoch [15/100], Step[17/526], Loss: 0.6944
Epoch [15/100], Step[18/526], Loss: 0.6928
Epoch [15/100], Step[19/526], Loss: 0.6642
Epoch [15/100], Step[20/526], Loss: 0.7180
Epoch [15/100], Step[21/526], Loss: 0.7357
Epoch [15/100], Step[22/526], Loss: 0.7222
Epoch [15/100], Step[23/526], Loss: 0.7358
Epoch [15/100], Step[24/526], Loss: 0.7193
Epoch [15/100], Step[25/526], Loss: 0.6908
Epoch [15/100], Step[26/526], Loss: 0.6404
Epoch [15/100], Step[27/526], Loss: 0.6968
Epoch [15/100], Step[28/526], Loss: 0.7008
Epoch [15/100], Step[29/526], Loss: 0.6583
Epoch [15/100], Step[30/526], Loss: 0.6892
Epoch [15/100], Step[31/526], Loss: 0.7087
Epoch [15/100], Step[32/526], Loss: 0.6765
Epoch [15/100], Step[33/526], Loss: 0.7144
Epoch [15/100], Step[34/526], Loss: 0.6846
Epoch [15/100], Step[35/526], Loss: 0.7070
Epoch [15/100], Step[36/526], Loss: 0.6923
Epoch [15/100], Step[37/526], Loss: 0.6930
Epoch [15/100], Step[38/526], Loss: 0.6882
Epoch [15/100], Step[39/526], Loss: 0.7149
Epoch [15/100], Step[40/526], Loss: 0.7228
Epoch [15/100], Step[41/526], Loss: 0.6515
Epoch [15/100], Step[42/526], Loss: 0.7233
Epoch [15/100], Step[43/526], Loss: 0.7166
Epoch [15/100], Step[44/526], Loss: 0.6847
Epoch [15/100], Step[45/526], Loss: 0.6817
Epoch [15/100], Step[46/526], Loss: 0.6773
Epoch [15/100], Step[47/526], Loss: 0.7109
Epoch [15/100], Step[48/526], Loss: 0.7192
Epoch [15/100], Step[49/526], Loss: 0.7041
Epoch [15/100], Step[50/526], Loss: 0.7162
Epoch [15/100], Step[51/526], Loss: 0.6988
Epoch [15/100], Step[52/526], Loss: 0.6873
Epoch [15/100], Step[53/526], Loss: 0.7231
Epoch [15/100], Step[54/526], Loss: 0.6971
Epoch [15/100], Step[55/526], Loss: 0.6946
Epoch [15/100], Step[56/526], Loss: 0.6953
Epoch [15/100], Step[57/526], Loss: 0.6837
Epoch [15/100], Step[58/526], Loss: 0.6734
Epoch [15/100], Step[59/526], Loss: 0.6724
Epoch [15/100], Step[60/526], Loss: 0.6698
Epoch [15/100], Step[61/526], Loss: 0.6470
Epoch [15/100], Step[62/526], Loss: 0.6939
Epoch [15/100], Step[63/526], Loss: 0.6833
Epoch [15/100], Step[64/526], Loss: 0.6772
Epoch [15/100], Step[65/526], Loss: 0.7157
Epoch [15/100], Step[66/526], Loss: 0.6794
Epoch [15/100], Step[67/526], Loss: 0.6679
Epoch [15/100], Step[68/526], Loss: 0.6545
Epoch [15/100], Step[69/526], Loss: 0.7005
Epoch [15/100], Step[70/526], Loss: 0.6830
Epoch [15/100], Step[71/526], Loss: 0.6609
Epoch [15/100], Step[72/526], Loss: 0.6709
Epoch [15/100], Step[73/526], Loss: 0.7041
Epoch [15/100], Step[74/526], Loss: 0.6634
Epoch [15/100], Step[75/526], Loss: 0.7117
Epoch [15/100], Step[76/526], Loss: 0.6997
Epoch [15/100], Step[77/526], Loss: 0.6785
Epoch [15/100], Step[78/526], Loss: 0.7038
Epoch [15/100], Step[79/526], Loss: 0.6990
Epoch [15/100], Step[80/526], Loss: 0.7000
Epoch [15/100], Step[81/526], Loss: 0.7042
Epoch [15/100], Step[82/526], Loss: 0.7375
Epoch [15/100], Step[83/526], Loss: 0.7131
Epoch [15/100], Step[84/526], Loss: 0.6994
Epoch [15/100], Step[85/526], Loss: 0.6610
Epoch [15/100], Step[86/526], Loss: 0.7048
Epoch [15/100], Step[87/526], Loss: 0.6790
Epoch [15/100], Step[88/526], Loss: 0.6834
Epoch [15/100], Step[89/526], Loss: 0.7166
Epoch [15/100], Step[90/526], Loss: 0.6912
Epoch [15/100], Step[91/526], Loss: 0.6748
Epoch [15/100], Step[92/526], Loss: 0.6734
Epoch [15/100], Step[93/526], Loss: 0.6801
Epoch [15/100], Step[94/526], Loss: 0.8077
Epoch [15/100], Step[95/526], Loss: 0.7136
Epoch [15/100], Step[96/526], Loss: 0.6343
Epoch [15/100], Step[97/526], Loss: 0.6103
Epoch [15/100], Step[98/526], Loss: 0.7058
Epoch [15/100], Step[99/526], Loss: 0.6788
Epoch [15/100], Step[100/526], Loss: 0.6895
Epoch [15/100], Step[101/526], Loss: 0.6574
Epoch [15/100], Step[102/526], Loss: 0.6280
Epoch [15/100], Step[103/526], Loss: 0.6453
Epoch [15/100], Step[104/526], Loss: 0.6386
Epoch [15/100], Step[105/526], Loss: 0.6504
Epoch [15/100], Step[106/526], Loss: 0.6830
Epoch [15/100], Step[107/526], Loss: 0.6524
Epoch [15/100], Step[108/526], Loss: 0.5937
Epoch [15/100], Step[109/526], Loss: 0.6844
Epoch [15/100], Step[110/526], Loss: 0.6886
Epoch [15/100], Step[111/526], Loss: 0.6018
Epoch [15/100], Step[112/526], Loss: 0.7301
Epoch [15/100], Step[113/526], Loss: 0.6169
Epoch [15/100], Step[114/526], Loss: 0.6610
Epoch [15/100], Step[115/526], Loss: 0.6194
Epoch [15/100], Step[116/526], Loss: 0.6188
Epoch [15/100], Step[117/526], Loss: 0.6332
Epoch [15/100], Step[118/526], Loss: 0.7370
Epoch [15/100], Step[119/526], Loss: 0.6745
Epoch [15/100], Step[120/526], Loss: 0.6678
Epoch [15/100], Step[121/526], Loss: 0.6994
Epoch [15/100], Step[122/526], Loss: 0.6432
Epoch [15/100], Step[123/526], Loss: 0.6541
Epoch [15/100], Step[124/526], Loss: 0.6770
Epoch [15/100], Step[125/526], Loss: 0.6479
Epoch [15/100], Step[126/526], Loss: 0.7054
Epoch [15/100], Step[127/526], Loss: 0.6694
Epoch [15/100], Step[128/526], Loss: 0.6440
Epoch [15/100], Step[129/526], Loss: 0.5919
Epoch [15/100], Step[130/526], Loss: 0.6128
Epoch [15/100], Step[131/526], Loss: 0.6824
Epoch [15/100], Step[132/526], Loss: 0.7314
Epoch [15/100], Step[133/526], Loss: 0.6763
Epoch [15/100], Step[134/526], Loss: 0.6287
Epoch [15/100], Step[135/526], Loss: 0.6499
Epoch [15/100], Step[136/526], Loss: 0.5743
Epoch [15/100], Step[137/526], Loss: 0.6191
Epoch [15/100], Step[138/526], Loss: 0.6541
Epoch [15/100], Step[139/526], Loss: 0.7121
Epoch [15/100], Step[140/526], Loss: 0.6003
Epoch [15/100], Step[141/526], Loss: 0.6820
Epoch [15/100], Step[142/526], Loss: 0.6689
Epoch [15/100], Step[143/526], Loss: 0.6894
Epoch [15/100], Step[144/526], Loss: 0.7848
Epoch [15/100], Step[145/526], Loss: 0.5786
Epoch [15/100], Step[146/526], Loss: 0.5202
Epoch [15/100], Step[147/526], Loss: 0.4904
Epoch [15/100], Step[148/526], Loss: 0.5873
Epoch [15/100], Step[149/526], Loss: 0.5179
Epoch [15/100], Step[150/526], Loss: 0.6397
Epoch [15/100], Step[151/526], Loss: 0.5812
Epoch [15/100], Step[152/526], Loss: 0.6344
Epoch [15/100], Step[153/526], Loss: 0.6423
Epoch [15/100], Step[154/526], Loss: 0.7418
Epoch [15/100], Step[155/526], Loss: 0.7158
Epoch [15/100], Step[156/526], Loss: 0.5231
Epoch [15/100], Step[157/526], Loss: 0.3036
Epoch [15/100], Step[158/526], Loss: 0.6028
Epoch [15/100], Step[159/526], Loss: 0.6701
Epoch [15/100], Step[160/526], Loss: 0.5644
Epoch [15/100], Step[161/526], Loss: 1.0583
Epoch [15/100], Step[162/526], Loss: 0.6897
Epoch [15/100], Step[163/526], Loss: 0.7296
Epoch [15/100], Step[164/526], Loss: 0.6209
Epoch [15/100], Step[165/526], Loss: 0.7452
Epoch [15/100], Step[166/526], Loss: 0.4851
Epoch [15/100], Step[167/526], Loss: 0.5292
Epoch [15/100], Step[168/526], Loss: 0.6924
Epoch [15/100], Step[169/526], Loss: 0.7532
Epoch [15/100], Step[170/526], Loss: 0.6965
Epoch [15/100], Step[171/526], Loss: 0.7079
Epoch [15/100], Step[172/526], Loss: 0.7337
Epoch [15/100], Step[173/526], Loss: 0.8055
Epoch [15/100], Step[174/526], Loss: 0.6394
Epoch [15/100], Step[175/526], Loss: 0.6514
Epoch [15/100], Step[176/526], Loss: 0.6460
Epoch [15/100], Step[177/526], Loss: 0.6497
Epoch [15/100], Step[178/526], Loss: 0.6992
Epoch [15/100], Step[179/526], Loss: 0.6411
Epoch [15/100], Step[180/526], Loss: 0.6792
Epoch [15/100], Step[181/526], Loss: 0.6352
Epoch [15/100], Step[182/526], Loss: 0.6949
Epoch [15/100], Step[183/526], Loss: 0.5185
Epoch [15/100], Step[184/526], Loss: 0.5964
Epoch [15/100], Step[185/526], Loss: 0.5768
Epoch [15/100], Step[186/526], Loss: 0.6708
Epoch [15/100], Step[187/526], Loss: 0.7347
Epoch [15/100], Step[188/526], Loss: 0.7082
Epoch [15/100], Step[189/526], Loss: 0.7001
Epoch [15/100], Step[190/526], Loss: 0.5921
Epoch [15/100], Step[191/526], Loss: 0.7420
Epoch [15/100], Step[192/526], Loss: 0.7643
Epoch [15/100], Step[193/526], Loss: 0.6648
Epoch [15/100], Step[194/526], Loss: 0.6172
Epoch [15/100], Step[195/526], Loss: 0.6547
Epoch [15/100], Step[196/526], Loss: 0.7277
Epoch [15/100], Step[197/526], Loss: 0.6902
Epoch [15/100], Step[198/526], Loss: 0.6219
Epoch [15/100], Step[199/526], Loss: 0.7244
Epoch [15/100], Step[200/526], Loss: 0.6490
Epoch [15/100], Step[201/526], Loss: 0.6869
Epoch [15/100], Step[202/526], Loss: 0.7488
Epoch [15/100], Step[203/526], Loss: 0.7138
Epoch [15/100], Step[204/526], Loss: 0.7624
Epoch [15/100], Step[205/526], Loss: 0.7217
Epoch [15/100], Step[206/526], Loss: 0.6786
Epoch [15/100], Step[207/526], Loss: 0.7126
Epoch [15/100], Step[208/526], Loss: 0.6785
Epoch [15/100], Step[209/526], Loss: 0.6821
Epoch [15/100], Step[210/526], Loss: 0.8110
Epoch [15/100], Step[211/526], Loss: 0.6418
Epoch [15/100], Step[212/526], Loss: 0.6886
Epoch [15/100], Step[213/526], Loss: 0.7149
Epoch [15/100], Step[214/526], Loss: 0.7618
Epoch [15/100], Step[215/526], Loss: 0.6974
Epoch [15/100], Step[216/526], Loss: 0.6821
Epoch [15/100], Step[217/526], Loss: 0.6840
Epoch [15/100], Step[218/526], Loss: 0.6992
Epoch [15/100], Step[219/526], Loss: 0.7093
Epoch [15/100], Step[220/526], Loss: 0.7370
Epoch [15/100], Step[221/526], Loss: 0.7031
Epoch [15/100], Step[222/526], Loss: 0.7570
Epoch [15/100], Step[223/526], Loss: 0.6761
Epoch [15/100], Step[224/526], Loss: 0.6795
Epoch [15/100], Step[225/526], Loss: 0.7285
Epoch [15/100], Step[226/526], Loss: 0.6792
Epoch [15/100], Step[227/526], Loss: 0.6753
Epoch [15/100], Step[228/526], Loss: 0.6688
Epoch [15/100], Step[229/526], Loss: 0.6908
Epoch [15/100], Step[230/526], Loss: 0.6461
Epoch [15/100], Step[231/526], Loss: 0.6679
Epoch [15/100], Step[232/526], Loss: 0.7269
Epoch [15/100], Step[233/526], Loss: 0.6917
Epoch [15/100], Step[234/526], Loss: 0.6928
Epoch [15/100], Step[235/526], Loss: 0.7072
Epoch [15/100], Step[236/526], Loss: 0.6826
Epoch [15/100], Step[237/526], Loss: 0.7327
Epoch [15/100], Step[238/526], Loss: 0.6995
Epoch [15/100], Step[239/526], Loss: 0.6719
Epoch [15/100], Step[240/526], Loss: 0.7275
Epoch [15/100], Step[241/526], Loss: 0.6968
Epoch [15/100], Step[242/526], Loss: 0.7183
Epoch [15/100], Step[243/526], Loss: 0.6705
Epoch [15/100], Step[244/526], Loss: 0.6445
Epoch [15/100], Step[245/526], Loss: 0.6441
Epoch [15/100], Step[246/526], Loss: 0.6731
Epoch [15/100], Step[247/526], Loss: 0.6208
Epoch [15/100], Step[248/526], Loss: 0.6436
Epoch [15/100], Step[249/526], Loss: 0.6569
Epoch [15/100], Step[250/526], Loss: 0.6730
Epoch [15/100], Step[251/526], Loss: 0.6858
Epoch [15/100], Step[252/526], Loss: 0.6957
Epoch [15/100], Step[253/526], Loss: 0.6329
Epoch [15/100], Step[254/526], Loss: 0.6707
Epoch [15/100], Step[255/526], Loss: 0.6045
Epoch [15/100], Step[256/526], Loss: 0.6830
Epoch [15/100], Step[257/526], Loss: 0.6589
Epoch [15/100], Step[258/526], Loss: 0.6458
Epoch [15/100], Step[259/526], Loss: 0.6844
Epoch [15/100], Step[260/526], Loss: 0.7197
Epoch [15/100], Step[261/526], Loss: 0.7487
Epoch [15/100], Step[262/526], Loss: 0.6748
Epoch [15/100], Step[263/526], Loss: 0.6675
Epoch [15/100], Step[264/526], Loss: 0.6456
Epoch [15/100], Step[265/526], Loss: 0.6281
Epoch [15/100], Step[266/526], Loss: 0.5992
Epoch [15/100], Step[267/526], Loss: 0.5102
Epoch [15/100], Step[268/526], Loss: 0.5755
Epoch [15/100], Step[269/526], Loss: 0.4892
Epoch [15/100], Step[270/526], Loss: 0.4385
Epoch [15/100], Step[271/526], Loss: 0.5410
Epoch [15/100], Step[272/526], Loss: 0.5498
Epoch [15/100], Step[273/526], Loss: 0.6250
Epoch [15/100], Step[274/526], Loss: 0.4713
Epoch [15/100], Step[275/526], Loss: 0.4501
Epoch [15/100], Step[276/526], Loss: 0.4877
Epoch [15/100], Step[277/526], Loss: 0.4499
Epoch [15/100], Step[278/526], Loss: 0.4674
Epoch [15/100], Step[279/526], Loss: 0.4138
Epoch [15/100], Step[280/526], Loss: 0.4611
Epoch [15/100], Step[281/526], Loss: 0.6112
Epoch [15/100], Step[282/526], Loss: 0.3891
Epoch [15/100], Step[283/526], Loss: 0.3646
Epoch [15/100], Step[284/526], Loss: 0.4062
Epoch [15/100], Step[285/526], Loss: 0.2982
Epoch [15/100], Step[286/526], Loss: 0.6754
Epoch [15/100], Step[287/526], Loss: 0.4878
Epoch [15/100], Step[288/526], Loss: 0.4443
Epoch [15/100], Step[289/526], Loss: 0.5972
Epoch [15/100], Step[290/526], Loss: 0.4344
Epoch [15/100], Step[291/526], Loss: 0.4840
Epoch [15/100], Step[292/526], Loss: 0.2608
Epoch [15/100], Step[293/526], Loss: 0.3181
Epoch [15/100], Step[294/526], Loss: 0.3379
Epoch [15/100], Step[295/526], Loss: 0.4106
Epoch [15/100], Step[296/526], Loss: 0.6003
Epoch [15/100], Step[297/526], Loss: 0.2755
Epoch [15/100], Step[298/526], Loss: 0.3057
Epoch [15/100], Step[299/526], Loss: 0.2757
Epoch [15/100], Step[300/526], Loss: 0.3316
Epoch [15/100], Step[301/526], Loss: 0.5905
Epoch [15/100], Step[302/526], Loss: 0.3131
Epoch [15/100], Step[303/526], Loss: 0.4825
Epoch [15/100], Step[304/526], Loss: 0.2669
Epoch [15/100], Step[305/526], Loss: 0.2825
Epoch [15/100], Step[306/526], Loss: 0.5714
Epoch [15/100], Step[307/526], Loss: 0.8716
Epoch [15/100], Step[308/526], Loss: 1.2886
Epoch [15/100], Step[309/526], Loss: 0.9436
Epoch [15/100], Step[310/526], Loss: 0.9700
Epoch [15/100], Step[311/526], Loss: 0.8203
Epoch [15/100], Step[312/526], Loss: 0.5082
Epoch [15/100], Step[313/526], Loss: 0.4789
Epoch [15/100], Step[314/526], Loss: 0.6465
Epoch [15/100], Step[315/526], Loss: 0.7053
Epoch [15/100], Step[316/526], Loss: 0.5130
Epoch [15/100], Step[317/526], Loss: 0.3106
Epoch [15/100], Step[318/526], Loss: 0.7273
Epoch [15/100], Step[319/526], Loss: 0.3670
Epoch [15/100], Step[320/526], Loss: 0.5683
Epoch [15/100], Step[321/526], Loss: 0.7569
Epoch [15/100], Step[322/526], Loss: 0.2816
Epoch [15/100], Step[323/526], Loss: 0.5996
Epoch [15/100], Step[324/526], Loss: 0.6720
Epoch [15/100], Step[325/526], Loss: 0.5783
Epoch [15/100], Step[326/526], Loss: 0.8049
Epoch [15/100], Step[327/526], Loss: 0.7341
Epoch [15/100], Step[328/526], Loss: 0.8930
Epoch [15/100], Step[329/526], Loss: 1.1839
Epoch [15/100], Step[330/526], Loss: 0.9335
Epoch [15/100], Step[331/526], Loss: 0.8416
Epoch [15/100], Step[332/526], Loss: 0.8666
Epoch [15/100], Step[333/526], Loss: 0.7722
Epoch [15/100], Step[334/526], Loss: 0.7841
Epoch [15/100], Step[335/526], Loss: 0.8412
Epoch [15/100], Step[336/526], Loss: 0.6880
Epoch [15/100], Step[337/526], Loss: 0.6068
Epoch [15/100], Step[338/526], Loss: 0.7118
Epoch [15/100], Step[339/526], Loss: 0.6555
Epoch [15/100], Step[340/526], Loss: 0.7337
Epoch [15/100], Step[341/526], Loss: 0.7975
Epoch [15/100], Step[342/526], Loss: 0.8020
Epoch [15/100], Step[343/526], Loss: 0.5603
Epoch [15/100], Step[344/526], Loss: 0.7384
Epoch [15/100], Step[345/526], Loss: 0.6645
Epoch [15/100], Step[346/526], Loss: 0.6817
Epoch [15/100], Step[347/526], Loss: 0.6966
Epoch [15/100], Step[348/526], Loss: 0.6472
Epoch [15/100], Step[349/526], Loss: 0.5902
Epoch [15/100], Step[350/526], Loss: 0.6839
Epoch [15/100], Step[351/526], Loss: 0.7222
Epoch [15/100], Step[352/526], Loss: 0.6156
Epoch [15/100], Step[353/526], Loss: 0.6980
Epoch [15/100], Step[354/526], Loss: 0.6724
Epoch [15/100], Step[355/526], Loss: 0.6760
Epoch [15/100], Step[356/526], Loss: 0.7097
Epoch [15/100], Step[357/526], Loss: 0.6626
Epoch [15/100], Step[358/526], Loss: 0.6984
Epoch [15/100], Step[359/526], Loss: 0.6668
Epoch [15/100], Step[360/526], Loss: 0.6728
Epoch [15/100], Step[361/526], Loss: 0.7319
Epoch [15/100], Step[362/526], Loss: 0.7113
Epoch [15/100], Step[363/526], Loss: 0.6873
Epoch [15/100], Step[364/526], Loss: 0.7274
Epoch [15/100], Step[365/526], Loss: 0.7262
Epoch [15/100], Step[366/526], Loss: 0.6872
Epoch [15/100], Step[367/526], Loss: 0.6875
Epoch [15/100], Step[368/526], Loss: 0.6538
Epoch [15/100], Step[369/526], Loss: 0.6612
Epoch [15/100], Step[370/526], Loss: 0.6120
Epoch [15/100], Step[371/526], Loss: 0.7461
Epoch [15/100], Step[372/526], Loss: 0.6520
Epoch [15/100], Step[373/526], Loss: 0.6830
Epoch [15/100], Step[374/526], Loss: 0.7017
Epoch [15/100], Step[375/526], Loss: 0.6574
Epoch [15/100], Step[376/526], Loss: 0.6491
Epoch [15/100], Step[377/526], Loss: 0.6779
Epoch [15/100], Step[378/526], Loss: 0.6969
Epoch [15/100], Step[379/526], Loss: 0.7269
Epoch [15/100], Step[380/526], Loss: 0.6102
Epoch [15/100], Step[381/526], Loss: 0.6034
Epoch [15/100], Step[382/526], Loss: 0.6731
Epoch [15/100], Step[383/526], Loss: 0.6844
Epoch [15/100], Step[384/526], Loss: 0.6425
Epoch [15/100], Step[385/526], Loss: 0.6364
Epoch [15/100], Step[386/526], Loss: 0.6651
Epoch [15/100], Step[387/526], Loss: 0.6573
Epoch [15/100], Step[388/526], Loss: 0.5971
Epoch [15/100], Step[389/526], Loss: 0.7151
Epoch [15/100], Step[390/526], Loss: 0.6029
Epoch [15/100], Step[391/526], Loss: 0.6493
Epoch [15/100], Step[392/526], Loss: 0.6938
Epoch [15/100], Step[393/526], Loss: 0.5953
Epoch [15/100], Step[394/526], Loss: 0.5134
Epoch [15/100], Step[395/526], Loss: 0.6397
Epoch [15/100], Step[396/526], Loss: 0.6323
Epoch [15/100], Step[397/526], Loss: 0.4858
Epoch [15/100], Step[398/526], Loss: 0.6008
Epoch [15/100], Step[399/526], Loss: 0.6566
Epoch [15/100], Step[400/526], Loss: 0.4753
Epoch [15/100], Step[401/526], Loss: 0.5702
Epoch [15/100], Step[402/526], Loss: 0.6187
Epoch [15/100], Step[403/526], Loss: 0.7091
Epoch [15/100], Step[404/526], Loss: 0.4821
Epoch [15/100], Step[405/526], Loss: 0.5070
Epoch [15/100], Step[406/526], Loss: 0.6484
Epoch [15/100], Step[407/526], Loss: 0.7305
Epoch [15/100], Step[408/526], Loss: 0.6484
Epoch [15/100], Step[409/526], Loss: 0.4451
Epoch [15/100], Step[410/526], Loss: 0.4711
Epoch [15/100], Step[411/526], Loss: 0.5295
Epoch [15/100], Step[412/526], Loss: 0.5773
Epoch [15/100], Step[413/526], Loss: 0.5893
Epoch [15/100], Step[414/526], Loss: 0.6258
Epoch [15/100], Step[415/526], Loss: 0.6206
Epoch [15/100], Step[416/526], Loss: 0.5333
Epoch [15/100], Step[417/526], Loss: 0.4678
Epoch [15/100], Step[418/526], Loss: 0.7654
Epoch [15/100], Step[419/526], Loss: 0.7058
Epoch [15/100], Step[420/526], Loss: 0.6818
Epoch [15/100], Step[421/526], Loss: 0.6241
Epoch [15/100], Step[422/526], Loss: 0.8021
Epoch [15/100], Step[423/526], Loss: 0.7141
Epoch [15/100], Step[424/526], Loss: 0.7423
Epoch [15/100], Step[425/526], Loss: 0.7165
Epoch [15/100], Step[426/526], Loss: 0.7663
Epoch [15/100], Step[427/526], Loss: 0.6895
Epoch [15/100], Step[428/526], Loss: 0.7125
Epoch [15/100], Step[429/526], Loss: 0.7351
Epoch [15/100], Step[430/526], Loss: 0.8168
Epoch [15/100], Step[431/526], Loss: 0.7254
Epoch [15/100], Step[432/526], Loss: 0.7410
Epoch [15/100], Step[433/526], Loss: 0.6939
Epoch [15/100], Step[434/526], Loss: 0.6232
Epoch [15/100], Step[435/526], Loss: 0.7940
Epoch [15/100], Step[436/526], Loss: 0.8014
Epoch [15/100], Step[437/526], Loss: 0.5274
Epoch [15/100], Step[438/526], Loss: 0.3725
Epoch [15/100], Step[439/526], Loss: 0.7536
Epoch [15/100], Step[440/526], Loss: 0.6853
Epoch [15/100], Step[441/526], Loss: 0.7071
Epoch [15/100], Step[442/526], Loss: 0.6369
Epoch [15/100], Step[443/526], Loss: 0.6723
Epoch [15/100], Step[444/526], Loss: 0.7637
Epoch [15/100], Step[445/526], Loss: 0.6935
Epoch [15/100], Step[446/526], Loss: 0.7233
Epoch [15/100], Step[447/526], Loss: 0.7178
Epoch [15/100], Step[448/526], Loss: 0.7544
Epoch [15/100], Step[449/526], Loss: 0.7094
Epoch [15/100], Step[450/526], Loss: 0.6047
Epoch [15/100], Step[451/526], Loss: 0.6331
Epoch [15/100], Step[452/526], Loss: 0.7360
Epoch [15/100], Step[453/526], Loss: 0.7303
Epoch [15/100], Step[454/526], Loss: 0.8034
Epoch [15/100], Step[455/526], Loss: 0.6658
Epoch [15/100], Step[456/526], Loss: 0.6357
Epoch [15/100], Step[457/526], Loss: 0.6917
Epoch [15/100], Step[458/526], Loss: 0.6634
Epoch [15/100], Step[459/526], Loss: 0.6743
Epoch [15/100], Step[460/526], Loss: 0.6591
Epoch [15/100], Step[461/526], Loss: 0.6310
Epoch [15/100], Step[462/526], Loss: 0.6724
Epoch [15/100], Step[463/526], Loss: 0.6513
Epoch [15/100], Step[464/526], Loss: 0.6617
Epoch [15/100], Step[465/526], Loss: 0.6694
Epoch [15/100], Step[466/526], Loss: 0.6623
Epoch [15/100], Step[467/526], Loss: 0.6476
Epoch [15/100], Step[468/526], Loss: 0.6420
Epoch [15/100], Step[469/526], Loss: 0.7942
Epoch [15/100], Step[470/526], Loss: 0.6590
Epoch [15/100], Step[471/526], Loss: 0.7013
Epoch [15/100], Step[472/526], Loss: 0.6754
Epoch [15/100], Step[473/526], Loss: 0.6782
Epoch [15/100], Step[474/526], Loss: 0.6723
Epoch [15/100], Step[475/526], Loss: 0.7973
Epoch [15/100], Step[476/526], Loss: 0.7565
Epoch [15/100], Step[477/526], Loss: 0.6985
Epoch [15/100], Step[478/526], Loss: 0.6981
Epoch [15/100], Step[479/526], Loss: 0.6692
Epoch [15/100], Step[480/526], Loss: 0.7413
Epoch [15/100], Step[481/526], Loss: 0.7007
Epoch [15/100], Step[482/526], Loss: 0.6351
Epoch [15/100], Step[483/526], Loss: 0.5699
Epoch [15/100], Step[484/526], Loss: 0.6898
Epoch [15/100], Step[485/526], Loss: 0.8027
Epoch [15/100], Step[486/526], Loss: 0.7109
Epoch [15/100], Step[487/526], Loss: 0.7439
Epoch [15/100], Step[488/526], Loss: 0.6922
Epoch [15/100], Step[489/526], Loss: 0.6403
Epoch [15/100], Step[490/526], Loss: 0.6218
Epoch [15/100], Step[491/526], Loss: 0.7071
Epoch [15/100], Step[492/526], Loss: 0.6613
Epoch [15/100], Step[493/526], Loss: 0.6631
Epoch [15/100], Step[494/526], Loss: 0.6506
Epoch [15/100], Step[495/526], Loss: 0.6884
Epoch [15/100], Step[496/526], Loss: 0.6756
Epoch [15/100], Step[497/526], Loss: 0.6451
Epoch [15/100], Step[498/526], Loss: 0.6821
Epoch [15/100], Step[499/526], Loss: 0.6801
Epoch [15/100], Step[500/526], Loss: 0.6812
Epoch [15/100], Step[501/526], Loss: 0.6592
Epoch [15/100], Step[502/526], Loss: 0.6960
Epoch [15/100], Step[503/526], Loss: 0.7065
Epoch [15/100], Step[504/526], Loss: 0.6934
Epoch [15/100], Step[505/526], Loss: 0.7087
Epoch [15/100], Step[506/526], Loss: 0.6879
Epoch [15/100], Step[507/526], Loss: 0.6770
Epoch [15/100], Step[508/526], Loss: 0.6963
Epoch [15/100], Step[509/526], Loss: 0.6647
Epoch [15/100], Step[510/526], Loss: 0.7004
Epoch [15/100], Step[511/526], Loss: 0.6450
Epoch [15/100], Step[512/526], Loss: 0.6767
Epoch [15/100], Step[513/526], Loss: 0.6523
Epoch [15/100], Step[514/526], Loss: 0.6501
Epoch [15/100], Step[515/526], Loss: 0.5928
Epoch [15/100], Step[516/526], Loss: 0.7424
Epoch [15/100], Step[517/526], Loss: 0.6969
Epoch [15/100], Step[518/526], Loss: 0.7318
Epoch [15/100], Step[519/526], Loss: 0.7138
Epoch [15/100], Step[520/526], Loss: 0.6731
Epoch [15/100], Step[521/526], Loss: 0.6677
Epoch [15/100], Step[522/526], Loss: 0.6225
Epoch [15/100], Step[523/526], Loss: 0.6497
Epoch [15/100], Step[524/526], Loss: 0.6482
Epoch [15/100], Step[525/526], Loss: 0.7397
Epoch [15/100], Step[526/526], Loss: 0.6955
Epoch [16/100], Step[1/526], Loss: 0.6616
Epoch [16/100], Step[2/526], Loss: 0.6474
Epoch [16/100], Step[3/526], Loss: 0.6741
Epoch [16/100], Step[4/526], Loss: 0.6392
Epoch [16/100], Step[5/526], Loss: 0.7275
Epoch [16/100], Step[6/526], Loss: 0.7257
Epoch [16/100], Step[7/526], Loss: 0.6997
Epoch [16/100], Step[8/526], Loss: 0.6849
Epoch [16/100], Step[9/526], Loss: 0.7080
Epoch [16/100], Step[10/526], Loss: 0.6873
Epoch [16/100], Step[11/526], Loss: 0.6631
Epoch [16/100], Step[12/526], Loss: 0.7172
Epoch [16/100], Step[13/526], Loss: 0.6402
Epoch [16/100], Step[14/526], Loss: 0.6669
Epoch [16/100], Step[15/526], Loss: 0.6878
Epoch [16/100], Step[16/526], Loss: 0.6952
Epoch [16/100], Step[17/526], Loss: 0.6960
Epoch [16/100], Step[18/526], Loss: 0.7444
Epoch [16/100], Step[19/526], Loss: 0.6718
Epoch [16/100], Step[20/526], Loss: 0.7157
Epoch [16/100], Step[21/526], Loss: 0.7322
Epoch [16/100], Step[22/526], Loss: 0.7220
Epoch [16/100], Step[23/526], Loss: 0.7317
Epoch [16/100], Step[24/526], Loss: 0.7145
Epoch [16/100], Step[25/526], Loss: 0.6884
Epoch [16/100], Step[26/526], Loss: 0.6397
Epoch [16/100], Step[27/526], Loss: 0.6937
Epoch [16/100], Step[28/526], Loss: 0.6960
Epoch [16/100], Step[29/526], Loss: 0.6575
Epoch [16/100], Step[30/526], Loss: 0.6895
Epoch [16/100], Step[31/526], Loss: 0.7060
Epoch [16/100], Step[32/526], Loss: 0.6712
Epoch [16/100], Step[33/526], Loss: 0.7131
Epoch [16/100], Step[34/526], Loss: 0.6847
Epoch [16/100], Step[35/526], Loss: 0.7066
Epoch [16/100], Step[36/526], Loss: 0.6921
Epoch [16/100], Step[37/526], Loss: 0.6923
Epoch [16/100], Step[38/526], Loss: 0.6903
Epoch [16/100], Step[39/526], Loss: 0.7125
Epoch [16/100], Step[40/526], Loss: 0.7193
Epoch [16/100], Step[41/526], Loss: 0.6527
Epoch [16/100], Step[42/526], Loss: 0.7224
Epoch [16/100], Step[43/526], Loss: 0.7159
Epoch [16/100], Step[44/526], Loss: 0.6852
Epoch [16/100], Step[45/526], Loss: 0.6816
Epoch [16/100], Step[46/526], Loss: 0.6825
Epoch [16/100], Step[47/526], Loss: 0.7105
Epoch [16/100], Step[48/526], Loss: 0.7185
Epoch [16/100], Step[49/526], Loss: 0.7033
Epoch [16/100], Step[50/526], Loss: 0.7173
Epoch [16/100], Step[51/526], Loss: 0.6962
Epoch [16/100], Step[52/526], Loss: 0.6849
Epoch [16/100], Step[53/526], Loss: 0.7219
Epoch [16/100], Step[54/526], Loss: 0.6957
Epoch [16/100], Step[55/526], Loss: 0.6937
Epoch [16/100], Step[56/526], Loss: 0.6960
Epoch [16/100], Step[57/526], Loss: 0.6850
Epoch [16/100], Step[58/526], Loss: 0.6746
Epoch [16/100], Step[59/526], Loss: 0.6692
Epoch [16/100], Step[60/526], Loss: 0.6731
Epoch [16/100], Step[61/526], Loss: 0.6474
Epoch [16/100], Step[62/526], Loss: 0.6919
Epoch [16/100], Step[63/526], Loss: 0.6848
Epoch [16/100], Step[64/526], Loss: 0.6780
Epoch [16/100], Step[65/526], Loss: 0.7160
Epoch [16/100], Step[66/526], Loss: 0.6814
Epoch [16/100], Step[67/526], Loss: 0.6699
Epoch [16/100], Step[68/526], Loss: 0.6551
Epoch [16/100], Step[69/526], Loss: 0.7011
Epoch [16/100], Step[70/526], Loss: 0.6832
Epoch [16/100], Step[71/526], Loss: 0.6628
Epoch [16/100], Step[72/526], Loss: 0.6711
Epoch [16/100], Step[73/526], Loss: 0.7037
Epoch [16/100], Step[74/526], Loss: 0.6635
Epoch [16/100], Step[75/526], Loss: 0.7117
Epoch [16/100], Step[76/526], Loss: 0.6999
Epoch [16/100], Step[77/526], Loss: 0.6814
Epoch [16/100], Step[78/526], Loss: 0.7060
Epoch [16/100], Step[79/526], Loss: 0.6985
Epoch [16/100], Step[80/526], Loss: 0.6988
Epoch [16/100], Step[81/526], Loss: 0.7045
Epoch [16/100], Step[82/526], Loss: 0.7341
Epoch [16/100], Step[83/526], Loss: 0.7128
Epoch [16/100], Step[84/526], Loss: 0.6986
Epoch [16/100], Step[85/526], Loss: 0.6626
Epoch [16/100], Step[86/526], Loss: 0.7061
Epoch [16/100], Step[87/526], Loss: 0.6801
Epoch [16/100], Step[88/526], Loss: 0.6845
Epoch [16/100], Step[89/526], Loss: 0.7151
Epoch [16/100], Step[90/526], Loss: 0.6899
Epoch [16/100], Step[91/526], Loss: 0.6767
Epoch [16/100], Step[92/526], Loss: 0.6743
Epoch [16/100], Step[93/526], Loss: 0.6805
Epoch [16/100], Step[94/526], Loss: 0.8100
Epoch [16/100], Step[95/526], Loss: 0.7119
Epoch [16/100], Step[96/526], Loss: 0.6294
Epoch [16/100], Step[97/526], Loss: 0.6074
Epoch [16/100], Step[98/526], Loss: 0.6982
Epoch [16/100], Step[99/526], Loss: 0.6805
Epoch [16/100], Step[100/526], Loss: 0.6795
Epoch [16/100], Step[101/526], Loss: 0.6591
Epoch [16/100], Step[102/526], Loss: 0.6289
Epoch [16/100], Step[103/526], Loss: 0.6623
Epoch [16/100], Step[104/526], Loss: 0.6426
Epoch [16/100], Step[105/526], Loss: 0.6490
Epoch [16/100], Step[106/526], Loss: 0.6843
Epoch [16/100], Step[107/526], Loss: 0.6492
Epoch [16/100], Step[108/526], Loss: 0.5926
Epoch [16/100], Step[109/526], Loss: 0.6841
Epoch [16/100], Step[110/526], Loss: 0.6888
Epoch [16/100], Step[111/526], Loss: 0.6006
Epoch [16/100], Step[112/526], Loss: 0.7295
Epoch [16/100], Step[113/526], Loss: 0.6139
Epoch [16/100], Step[114/526], Loss: 0.6609
Epoch [16/100], Step[115/526], Loss: 0.6177
Epoch [16/100], Step[116/526], Loss: 0.6193
Epoch [16/100], Step[117/526], Loss: 0.6369
Epoch [16/100], Step[118/526], Loss: 0.7415
Epoch [16/100], Step[119/526], Loss: 0.6758
Epoch [16/100], Step[120/526], Loss: 0.6725
Epoch [16/100], Step[121/526], Loss: 0.6969
Epoch [16/100], Step[122/526], Loss: 0.6422
Epoch [16/100], Step[123/526], Loss: 0.6536
Epoch [16/100], Step[124/526], Loss: 0.6766
Epoch [16/100], Step[125/526], Loss: 0.6435
Epoch [16/100], Step[126/526], Loss: 0.7089
Epoch [16/100], Step[127/526], Loss: 0.6721
Epoch [16/100], Step[128/526], Loss: 0.6452
Epoch [16/100], Step[129/526], Loss: 0.5925
Epoch [16/100], Step[130/526], Loss: 0.6061
Epoch [16/100], Step[131/526], Loss: 0.6823
Epoch [16/100], Step[132/526], Loss: 0.7320
Epoch [16/100], Step[133/526], Loss: 0.6795
Epoch [16/100], Step[134/526], Loss: 0.6319
Epoch [16/100], Step[135/526], Loss: 0.6515
Epoch [16/100], Step[136/526], Loss: 0.5735
Epoch [16/100], Step[137/526], Loss: 0.6263
Epoch [16/100], Step[138/526], Loss: 0.6572
Epoch [16/100], Step[139/526], Loss: 0.7171
Epoch [16/100], Step[140/526], Loss: 0.5991
Epoch [16/100], Step[141/526], Loss: 0.6804
Epoch [16/100], Step[142/526], Loss: 0.6658
Epoch [16/100], Step[143/526], Loss: 0.6902
Epoch [16/100], Step[144/526], Loss: 0.7849
Epoch [16/100], Step[145/526], Loss: 0.5717
Epoch [16/100], Step[146/526], Loss: 0.5162
Epoch [16/100], Step[147/526], Loss: 0.4763
Epoch [16/100], Step[148/526], Loss: 0.5846
Epoch [16/100], Step[149/526], Loss: 0.5059
Epoch [16/100], Step[150/526], Loss: 0.6156
Epoch [16/100], Step[151/526], Loss: 0.5659
Epoch [16/100], Step[152/526], Loss: 0.6263
Epoch [16/100], Step[153/526], Loss: 0.6332
Epoch [16/100], Step[154/526], Loss: 0.7397
Epoch [16/100], Step[155/526], Loss: 0.7045
Epoch [16/100], Step[156/526], Loss: 0.5104
Epoch [16/100], Step[157/526], Loss: 0.2835
Epoch [16/100], Step[158/526], Loss: 0.5934
Epoch [16/100], Step[159/526], Loss: 0.6671
Epoch [16/100], Step[160/526], Loss: 0.5536
Epoch [16/100], Step[161/526], Loss: 1.1003
Epoch [16/100], Step[162/526], Loss: 0.6875
Epoch [16/100], Step[163/526], Loss: 0.7287
Epoch [16/100], Step[164/526], Loss: 0.6188
Epoch [16/100], Step[165/526], Loss: 0.7368
Epoch [16/100], Step[166/526], Loss: 0.4802
Epoch [16/100], Step[167/526], Loss: 0.5230
Epoch [16/100], Step[168/526], Loss: 0.6968
Epoch [16/100], Step[169/526], Loss: 0.7590
Epoch [16/100], Step[170/526], Loss: 0.6989
Epoch [16/100], Step[171/526], Loss: 0.7167
Epoch [16/100], Step[172/526], Loss: 0.7279
Epoch [16/100], Step[173/526], Loss: 0.8084
Epoch [16/100], Step[174/526], Loss: 0.6433
Epoch [16/100], Step[175/526], Loss: 0.6508
Epoch [16/100], Step[176/526], Loss: 0.6402
Epoch [16/100], Step[177/526], Loss: 0.6503
Epoch [16/100], Step[178/526], Loss: 0.6991
Epoch [16/100], Step[179/526], Loss: 0.6373
Epoch [16/100], Step[180/526], Loss: 0.6808
Epoch [16/100], Step[181/526], Loss: 0.6360
Epoch [16/100], Step[182/526], Loss: 0.6885
Epoch [16/100], Step[183/526], Loss: 0.5197
Epoch [16/100], Step[184/526], Loss: 0.5940
Epoch [16/100], Step[185/526], Loss: 0.5775
Epoch [16/100], Step[186/526], Loss: 0.6647
Epoch [16/100], Step[187/526], Loss: 0.7383
Epoch [16/100], Step[188/526], Loss: 0.7088
Epoch [16/100], Step[189/526], Loss: 0.6977
Epoch [16/100], Step[190/526], Loss: 0.6073
Epoch [16/100], Step[191/526], Loss: 0.7402
Epoch [16/100], Step[192/526], Loss: 0.7892
Epoch [16/100], Step[193/526], Loss: 0.6618
Epoch [16/100], Step[194/526], Loss: 0.6186
Epoch [16/100], Step[195/526], Loss: 0.6542
Epoch [16/100], Step[196/526], Loss: 0.7339
Epoch [16/100], Step[197/526], Loss: 0.6937
Epoch [16/100], Step[198/526], Loss: 0.6245
Epoch [16/100], Step[199/526], Loss: 0.7232
Epoch [16/100], Step[200/526], Loss: 0.6526
Epoch [16/100], Step[201/526], Loss: 0.6836
Epoch [16/100], Step[202/526], Loss: 0.7471
Epoch [16/100], Step[203/526], Loss: 0.7114
Epoch [16/100], Step[204/526], Loss: 0.7559
Epoch [16/100], Step[205/526], Loss: 0.7174
Epoch [16/100], Step[206/526], Loss: 0.6795
Epoch [16/100], Step[207/526], Loss: 0.7098
Epoch [16/100], Step[208/526], Loss: 0.6790
Epoch [16/100], Step[209/526], Loss: 0.6810
Epoch [16/100], Step[210/526], Loss: 0.7987
Epoch [16/100], Step[211/526], Loss: 0.6413
Epoch [16/100], Step[212/526], Loss: 0.6878
Epoch [16/100], Step[213/526], Loss: 0.7145
Epoch [16/100], Step[214/526], Loss: 0.7564
Epoch [16/100], Step[215/526], Loss: 0.6953
Epoch [16/100], Step[216/526], Loss: 0.6826
Epoch [16/100], Step[217/526], Loss: 0.6800
Epoch [16/100], Step[218/526], Loss: 0.6974
Epoch [16/100], Step[219/526], Loss: 0.7047
Epoch [16/100], Step[220/526], Loss: 0.7351
Epoch [16/100], Step[221/526], Loss: 0.7006
Epoch [16/100], Step[222/526], Loss: 0.7547
Epoch [16/100], Step[223/526], Loss: 0.6737
Epoch [16/100], Step[224/526], Loss: 0.6795
Epoch [16/100], Step[225/526], Loss: 0.7281
Epoch [16/100], Step[226/526], Loss: 0.6786
Epoch [16/100], Step[227/526], Loss: 0.6735
Epoch [16/100], Step[228/526], Loss: 0.6677
Epoch [16/100], Step[229/526], Loss: 0.6870
Epoch [16/100], Step[230/526], Loss: 0.6488
Epoch [16/100], Step[231/526], Loss: 0.6675
Epoch [16/100], Step[232/526], Loss: 0.7230
Epoch [16/100], Step[233/526], Loss: 0.6913
Epoch [16/100], Step[234/526], Loss: 0.6906
Epoch [16/100], Step[235/526], Loss: 0.7034
Epoch [16/100], Step[236/526], Loss: 0.6822
Epoch [16/100], Step[237/526], Loss: 0.7308
Epoch [16/100], Step[238/526], Loss: 0.6970
Epoch [16/100], Step[239/526], Loss: 0.6718
Epoch [16/100], Step[240/526], Loss: 0.7240
Epoch [16/100], Step[241/526], Loss: 0.6945
Epoch [16/100], Step[242/526], Loss: 0.7150
Epoch [16/100], Step[243/526], Loss: 0.6691
Epoch [16/100], Step[244/526], Loss: 0.6455
Epoch [16/100], Step[245/526], Loss: 0.6439
Epoch [16/100], Step[246/526], Loss: 0.6720
Epoch [16/100], Step[247/526], Loss: 0.6222
Epoch [16/100], Step[248/526], Loss: 0.6458
Epoch [16/100], Step[249/526], Loss: 0.6590
Epoch [16/100], Step[250/526], Loss: 0.6750
Epoch [16/100], Step[251/526], Loss: 0.6892
Epoch [16/100], Step[252/526], Loss: 0.6964
Epoch [16/100], Step[253/526], Loss: 0.6337
Epoch [16/100], Step[254/526], Loss: 0.6705
Epoch [16/100], Step[255/526], Loss: 0.6056
Epoch [16/100], Step[256/526], Loss: 0.6832
Epoch [16/100], Step[257/526], Loss: 0.6584
Epoch [16/100], Step[258/526], Loss: 0.6461
Epoch [16/100], Step[259/526], Loss: 0.6844
Epoch [16/100], Step[260/526], Loss: 0.7219
Epoch [16/100], Step[261/526], Loss: 0.7456
Epoch [16/100], Step[262/526], Loss: 0.6749
Epoch [16/100], Step[263/526], Loss: 0.6671
Epoch [16/100], Step[264/526], Loss: 0.6444
Epoch [16/100], Step[265/526], Loss: 0.6258
Epoch [16/100], Step[266/526], Loss: 0.6000
Epoch [16/100], Step[267/526], Loss: 0.5078
Epoch [16/100], Step[268/526], Loss: 0.5737
Epoch [16/100], Step[269/526], Loss: 0.4885
Epoch [16/100], Step[270/526], Loss: 0.4355
Epoch [16/100], Step[271/526], Loss: 0.5402
Epoch [16/100], Step[272/526], Loss: 0.5498
Epoch [16/100], Step[273/526], Loss: 0.6239
Epoch [16/100], Step[274/526], Loss: 0.4692
Epoch [16/100], Step[275/526], Loss: 0.4485
Epoch [16/100], Step[276/526], Loss: 0.4865
Epoch [16/100], Step[277/526], Loss: 0.4470
Epoch [16/100], Step[278/526], Loss: 0.4677
Epoch [16/100], Step[279/526], Loss: 0.4138
Epoch [16/100], Step[280/526], Loss: 0.4601
Epoch [16/100], Step[281/526], Loss: 0.6131
Epoch [16/100], Step[282/526], Loss: 0.3881
Epoch [16/100], Step[283/526], Loss: 0.3655
Epoch [16/100], Step[284/526], Loss: 0.4055
Epoch [16/100], Step[285/526], Loss: 0.2945
Epoch [16/100], Step[286/526], Loss: 0.6777
Epoch [16/100], Step[287/526], Loss: 0.4864
Epoch [16/100], Step[288/526], Loss: 0.4425
Epoch [16/100], Step[289/526], Loss: 0.5988
Epoch [16/100], Step[290/526], Loss: 0.4321
Epoch [16/100], Step[291/526], Loss: 0.4836
Epoch [16/100], Step[292/526], Loss: 0.2576
Epoch [16/100], Step[293/526], Loss: 0.3168
Epoch [16/100], Step[294/526], Loss: 0.3328
Epoch [16/100], Step[295/526], Loss: 0.4076
Epoch [16/100], Step[296/526], Loss: 0.6011
Epoch [16/100], Step[297/526], Loss: 0.2748
Epoch [16/100], Step[298/526], Loss: 0.3021
Epoch [16/100], Step[299/526], Loss: 0.2732
Epoch [16/100], Step[300/526], Loss: 0.3326
Epoch [16/100], Step[301/526], Loss: 0.5891
Epoch [16/100], Step[302/526], Loss: 0.3083
Epoch [16/100], Step[303/526], Loss: 0.4848
Epoch [16/100], Step[304/526], Loss: 0.2659
Epoch [16/100], Step[305/526], Loss: 0.2781
Epoch [16/100], Step[306/526], Loss: 0.5742
Epoch [16/100], Step[307/526], Loss: 0.8703
Epoch [16/100], Step[308/526], Loss: 1.2975
Epoch [16/100], Step[309/526], Loss: 0.9434
Epoch [16/100], Step[310/526], Loss: 0.9761
Epoch [16/100], Step[311/526], Loss: 0.8228
Epoch [16/100], Step[312/526], Loss: 0.5080
Epoch [16/100], Step[313/526], Loss: 0.4794
Epoch [16/100], Step[314/526], Loss: 0.6518
Epoch [16/100], Step[315/526], Loss: 0.7045
Epoch [16/100], Step[316/526], Loss: 0.5118
Epoch [16/100], Step[317/526], Loss: 0.3103
Epoch [16/100], Step[318/526], Loss: 0.7297
Epoch [16/100], Step[319/526], Loss: 0.3636
Epoch [16/100], Step[320/526], Loss: 0.5657
Epoch [16/100], Step[321/526], Loss: 0.7578
Epoch [16/100], Step[322/526], Loss: 0.2783
Epoch [16/100], Step[323/526], Loss: 0.5994
Epoch [16/100], Step[324/526], Loss: 0.6732
Epoch [16/100], Step[325/526], Loss: 0.5739
Epoch [16/100], Step[326/526], Loss: 0.8065
Epoch [16/100], Step[327/526], Loss: 0.7342
Epoch [16/100], Step[328/526], Loss: 0.8979
Epoch [16/100], Step[329/526], Loss: 1.2041
Epoch [16/100], Step[330/526], Loss: 0.9495
Epoch [16/100], Step[331/526], Loss: 0.8378
Epoch [16/100], Step[332/526], Loss: 0.8720
Epoch [16/100], Step[333/526], Loss: 0.7739
Epoch [16/100], Step[334/526], Loss: 0.7885
Epoch [16/100], Step[335/526], Loss: 0.8417
Epoch [16/100], Step[336/526], Loss: 0.6894
Epoch [16/100], Step[337/526], Loss: 0.6079
Epoch [16/100], Step[338/526], Loss: 0.7117
Epoch [16/100], Step[339/526], Loss: 0.6562
Epoch [16/100], Step[340/526], Loss: 0.7341
Epoch [16/100], Step[341/526], Loss: 0.7982
Epoch [16/100], Step[342/526], Loss: 0.7999
Epoch [16/100], Step[343/526], Loss: 0.5597
Epoch [16/100], Step[344/526], Loss: 0.7409
Epoch [16/100], Step[345/526], Loss: 0.6623
Epoch [16/100], Step[346/526], Loss: 0.6811
Epoch [16/100], Step[347/526], Loss: 0.6978
Epoch [16/100], Step[348/526], Loss: 0.6472
Epoch [16/100], Step[349/526], Loss: 0.5869
Epoch [16/100], Step[350/526], Loss: 0.6844
Epoch [16/100], Step[351/526], Loss: 0.7222
Epoch [16/100], Step[352/526], Loss: 0.6142
Epoch [16/100], Step[353/526], Loss: 0.6972
Epoch [16/100], Step[354/526], Loss: 0.6712
Epoch [16/100], Step[355/526], Loss: 0.6754
Epoch [16/100], Step[356/526], Loss: 0.7079
Epoch [16/100], Step[357/526], Loss: 0.6633
Epoch [16/100], Step[358/526], Loss: 0.6970
Epoch [16/100], Step[359/526], Loss: 0.6658
Epoch [16/100], Step[360/526], Loss: 0.6732
Epoch [16/100], Step[361/526], Loss: 0.7397
Epoch [16/100], Step[362/526], Loss: 0.7101
Epoch [16/100], Step[363/526], Loss: 0.6875
Epoch [16/100], Step[364/526], Loss: 0.7260
Epoch [16/100], Step[365/526], Loss: 0.7244
Epoch [16/100], Step[366/526], Loss: 0.6861
Epoch [16/100], Step[367/526], Loss: 0.6872
Epoch [16/100], Step[368/526], Loss: 0.6530
Epoch [16/100], Step[369/526], Loss: 0.6625
Epoch [16/100], Step[370/526], Loss: 0.6204
Epoch [16/100], Step[371/526], Loss: 0.7435
Epoch [16/100], Step[372/526], Loss: 0.6522
Epoch [16/100], Step[373/526], Loss: 0.6834
Epoch [16/100], Step[374/526], Loss: 0.7024
Epoch [16/100], Step[375/526], Loss: 0.6575
Epoch [16/100], Step[376/526], Loss: 0.6498
Epoch [16/100], Step[377/526], Loss: 0.6800
Epoch [16/100], Step[378/526], Loss: 0.6973
Epoch [16/100], Step[379/526], Loss: 0.7259
Epoch [16/100], Step[380/526], Loss: 0.6109
Epoch [16/100], Step[381/526], Loss: 0.6021
Epoch [16/100], Step[382/526], Loss: 0.6737
Epoch [16/100], Step[383/526], Loss: 0.6874
Epoch [16/100], Step[384/526], Loss: 0.6424
Epoch [16/100], Step[385/526], Loss: 0.6317
Epoch [16/100], Step[386/526], Loss: 0.6673
Epoch [16/100], Step[387/526], Loss: 0.6565
Epoch [16/100], Step[388/526], Loss: 0.5961
Epoch [16/100], Step[389/526], Loss: 0.7160
Epoch [16/100], Step[390/526], Loss: 0.6004
Epoch [16/100], Step[391/526], Loss: 0.6494
Epoch [16/100], Step[392/526], Loss: 0.6941
Epoch [16/100], Step[393/526], Loss: 0.5946
Epoch [16/100], Step[394/526], Loss: 0.5116
Epoch [16/100], Step[395/526], Loss: 0.6352
Epoch [16/100], Step[396/526], Loss: 0.6325
Epoch [16/100], Step[397/526], Loss: 0.4802
Epoch [16/100], Step[398/526], Loss: 0.5995
Epoch [16/100], Step[399/526], Loss: 0.6570
Epoch [16/100], Step[400/526], Loss: 0.4731
Epoch [16/100], Step[401/526], Loss: 0.5746
Epoch [16/100], Step[402/526], Loss: 0.6174
Epoch [16/100], Step[403/526], Loss: 0.7103
Epoch [16/100], Step[404/526], Loss: 0.4834
Epoch [16/100], Step[405/526], Loss: 0.5054
Epoch [16/100], Step[406/526], Loss: 0.6486
Epoch [16/100], Step[407/526], Loss: 0.7371
Epoch [16/100], Step[408/526], Loss: 0.6472
Epoch [16/100], Step[409/526], Loss: 0.4442
Epoch [16/100], Step[410/526], Loss: 0.4716
Epoch [16/100], Step[411/526], Loss: 0.5291
Epoch [16/100], Step[412/526], Loss: 0.5781
Epoch [16/100], Step[413/526], Loss: 0.5886
Epoch [16/100], Step[414/526], Loss: 0.6267
Epoch [16/100], Step[415/526], Loss: 0.6191
Epoch [16/100], Step[416/526], Loss: 0.5378
Epoch [16/100], Step[417/526], Loss: 0.4653
Epoch [16/100], Step[418/526], Loss: 0.7630
Epoch [16/100], Step[419/526], Loss: 0.7041
Epoch [16/100], Step[420/526], Loss: 0.6842
Epoch [16/100], Step[421/526], Loss: 0.6254
Epoch [16/100], Step[422/526], Loss: 0.7994
Epoch [16/100], Step[423/526], Loss: 0.7110
Epoch [16/100], Step[424/526], Loss: 0.7405
Epoch [16/100], Step[425/526], Loss: 0.7154
Epoch [16/100], Step[426/526], Loss: 0.7659
Epoch [16/100], Step[427/526], Loss: 0.6871
Epoch [16/100], Step[428/526], Loss: 0.7115
Epoch [16/100], Step[429/526], Loss: 0.7335
Epoch [16/100], Step[430/526], Loss: 0.8090
Epoch [16/100], Step[431/526], Loss: 0.7238
Epoch [16/100], Step[432/526], Loss: 0.7425
Epoch [16/100], Step[433/526], Loss: 0.6943
Epoch [16/100], Step[434/526], Loss: 0.6228
Epoch [16/100], Step[435/526], Loss: 0.7942
Epoch [16/100], Step[436/526], Loss: 0.8146
Epoch [16/100], Step[437/526], Loss: 0.5290
Epoch [16/100], Step[438/526], Loss: 0.3684
Epoch [16/100], Step[439/526], Loss: 0.7510
Epoch [16/100], Step[440/526], Loss: 0.6890
Epoch [16/100], Step[441/526], Loss: 0.7053
Epoch [16/100], Step[442/526], Loss: 0.6380
Epoch [16/100], Step[443/526], Loss: 0.6717
Epoch [16/100], Step[444/526], Loss: 0.7612
Epoch [16/100], Step[445/526], Loss: 0.6941
Epoch [16/100], Step[446/526], Loss: 0.7230
Epoch [16/100], Step[447/526], Loss: 0.7178
Epoch [16/100], Step[448/526], Loss: 0.7545
Epoch [16/100], Step[449/526], Loss: 0.7100
Epoch [16/100], Step[450/526], Loss: 0.6054
Epoch [16/100], Step[451/526], Loss: 0.6333
Epoch [16/100], Step[452/526], Loss: 0.7335
Epoch [16/100], Step[453/526], Loss: 0.7294
Epoch [16/100], Step[454/526], Loss: 0.8091
Epoch [16/100], Step[455/526], Loss: 0.6674
Epoch [16/100], Step[456/526], Loss: 0.6379
Epoch [16/100], Step[457/526], Loss: 0.6916
Epoch [16/100], Step[458/526], Loss: 0.6639
Epoch [16/100], Step[459/526], Loss: 0.6732
Epoch [16/100], Step[460/526], Loss: 0.6588
Epoch [16/100], Step[461/526], Loss: 0.6307
Epoch [16/100], Step[462/526], Loss: 0.6732
Epoch [16/100], Step[463/526], Loss: 0.6533
Epoch [16/100], Step[464/526], Loss: 0.6607
Epoch [16/100], Step[465/526], Loss: 0.6682
Epoch [16/100], Step[466/526], Loss: 0.6629
Epoch [16/100], Step[467/526], Loss: 0.6491
Epoch [16/100], Step[468/526], Loss: 0.6421
Epoch [16/100], Step[469/526], Loss: 0.7919
Epoch [16/100], Step[470/526], Loss: 0.6610
Epoch [16/100], Step[471/526], Loss: 0.7016
Epoch [16/100], Step[472/526], Loss: 0.6766
Epoch [16/100], Step[473/526], Loss: 0.6790
Epoch [16/100], Step[474/526], Loss: 0.6726
Epoch [16/100], Step[475/526], Loss: 0.7945
Epoch [16/100], Step[476/526], Loss: 0.7543
Epoch [16/100], Step[477/526], Loss: 0.7006
Epoch [16/100], Step[478/526], Loss: 0.6967
Epoch [16/100], Step[479/526], Loss: 0.6691
Epoch [16/100], Step[480/526], Loss: 0.7394
Epoch [16/100], Step[481/526], Loss: 0.7033
Epoch [16/100], Step[482/526], Loss: 0.6329
Epoch [16/100], Step[483/526], Loss: 0.5666
Epoch [16/100], Step[484/526], Loss: 0.6896
Epoch [16/100], Step[485/526], Loss: 0.7974
Epoch [16/100], Step[486/526], Loss: 0.7095
Epoch [16/100], Step[487/526], Loss: 0.7387
Epoch [16/100], Step[488/526], Loss: 0.6958
Epoch [16/100], Step[489/526], Loss: 0.6434
Epoch [16/100], Step[490/526], Loss: 0.6217
Epoch [16/100], Step[491/526], Loss: 0.7066
Epoch [16/100], Step[492/526], Loss: 0.6648
Epoch [16/100], Step[493/526], Loss: 0.6642
Epoch [16/100], Step[494/526], Loss: 0.6510
Epoch [16/100], Step[495/526], Loss: 0.6880
Epoch [16/100], Step[496/526], Loss: 0.6746
Epoch [16/100], Step[497/526], Loss: 0.6442
Epoch [16/100], Step[498/526], Loss: 0.6811
Epoch [16/100], Step[499/526], Loss: 0.6797
Epoch [16/100], Step[500/526], Loss: 0.6799
Epoch [16/100], Step[501/526], Loss: 0.6597
Epoch [16/100], Step[502/526], Loss: 0.6959
Epoch [16/100], Step[503/526], Loss: 0.7077
Epoch [16/100], Step[504/526], Loss: 0.6931
Epoch [16/100], Step[505/526], Loss: 0.7074
Epoch [16/100], Step[506/526], Loss: 0.6870
Epoch [16/100], Step[507/526], Loss: 0.6758
Epoch [16/100], Step[508/526], Loss: 0.6961
Epoch [16/100], Step[509/526], Loss: 0.6639
Epoch [16/100], Step[510/526], Loss: 0.7001
Epoch [16/100], Step[511/526], Loss: 0.6452
Epoch [16/100], Step[512/526], Loss: 0.6765
Epoch [16/100], Step[513/526], Loss: 0.6542
Epoch [16/100], Step[514/526], Loss: 0.6497
Epoch [16/100], Step[515/526], Loss: 0.5901
Epoch [16/100], Step[516/526], Loss: 0.7411
Epoch [16/100], Step[517/526], Loss: 0.6944
Epoch [16/100], Step[518/526], Loss: 0.7299
Epoch [16/100], Step[519/526], Loss: 0.7136
Epoch [16/100], Step[520/526], Loss: 0.6740
Epoch [16/100], Step[521/526], Loss: 0.6638
Epoch [16/100], Step[522/526], Loss: 0.6220
Epoch [16/100], Step[523/526], Loss: 0.6492
Epoch [16/100], Step[524/526], Loss: 0.6483
Epoch [16/100], Step[525/526], Loss: 0.7395
Epoch [16/100], Step[526/526], Loss: 0.6925
Epoch [17/100], Step[1/526], Loss: 0.6612
Epoch [17/100], Step[2/526], Loss: 0.6480
Epoch [17/100], Step[3/526], Loss: 0.6744
Epoch [17/100], Step[4/526], Loss: 0.6391
Epoch [17/100], Step[5/526], Loss: 0.7282
Epoch [17/100], Step[6/526], Loss: 0.7270
Epoch [17/100], Step[7/526], Loss: 0.7004
Epoch [17/100], Step[8/526], Loss: 0.6855
Epoch [17/100], Step[9/526], Loss: 0.7087
Epoch [17/100], Step[10/526], Loss: 0.6874
Epoch [17/100], Step[11/526], Loss: 0.6630
Epoch [17/100], Step[12/526], Loss: 0.7174
Epoch [17/100], Step[13/526], Loss: 0.6399
Epoch [17/100], Step[14/526], Loss: 0.6665
Epoch [17/100], Step[15/526], Loss: 0.6885
Epoch [17/100], Step[16/526], Loss: 0.6970
Epoch [17/100], Step[17/526], Loss: 0.6966
Epoch [17/100], Step[18/526], Loss: 0.6993
Epoch [17/100], Step[19/526], Loss: 0.6736
Epoch [17/100], Step[20/526], Loss: 0.7161
Epoch [17/100], Step[21/526], Loss: 0.7321
Epoch [17/100], Step[22/526], Loss: 0.7203
Epoch [17/100], Step[23/526], Loss: 0.7333
Epoch [17/100], Step[24/526], Loss: 0.7147
Epoch [17/100], Step[25/526], Loss: 0.6882
Epoch [17/100], Step[26/526], Loss: 0.6401
Epoch [17/100], Step[27/526], Loss: 0.6932
Epoch [17/100], Step[28/526], Loss: 0.6953
Epoch [17/100], Step[29/526], Loss: 0.6579
Epoch [17/100], Step[30/526], Loss: 0.6888
Epoch [17/100], Step[31/526], Loss: 0.7060
Epoch [17/100], Step[32/526], Loss: 0.6716
Epoch [17/100], Step[33/526], Loss: 0.7126
Epoch [17/100], Step[34/526], Loss: 0.6849
Epoch [17/100], Step[35/526], Loss: 0.7062
Epoch [17/100], Step[36/526], Loss: 0.6931
Epoch [17/100], Step[37/526], Loss: 0.6929
Epoch [17/100], Step[38/526], Loss: 0.6912
Epoch [17/100], Step[39/526], Loss: 0.7118
Epoch [17/100], Step[40/526], Loss: 0.7206
Epoch [17/100], Step[41/526], Loss: 0.6534
Epoch [17/100], Step[42/526], Loss: 0.7223
Epoch [17/100], Step[43/526], Loss: 0.7156
Epoch [17/100], Step[44/526], Loss: 0.6850
Epoch [17/100], Step[45/526], Loss: 0.6817
Epoch [17/100], Step[46/526], Loss: 0.6837
Epoch [17/100], Step[47/526], Loss: 0.7103
Epoch [17/100], Step[48/526], Loss: 0.7187
Epoch [17/100], Step[49/526], Loss: 0.7030
Epoch [17/100], Step[50/526], Loss: 0.7170
Epoch [17/100], Step[51/526], Loss: 0.6965
Epoch [17/100], Step[52/526], Loss: 0.6855
Epoch [17/100], Step[53/526], Loss: 0.7208
Epoch [17/100], Step[54/526], Loss: 0.6974
Epoch [17/100], Step[55/526], Loss: 0.6938
Epoch [17/100], Step[56/526], Loss: 0.6960
Epoch [17/100], Step[57/526], Loss: 0.6845
Epoch [17/100], Step[58/526], Loss: 0.6747
Epoch [17/100], Step[59/526], Loss: 0.6704
Epoch [17/100], Step[60/526], Loss: 0.6731
Epoch [17/100], Step[61/526], Loss: 0.6485
Epoch [17/100], Step[62/526], Loss: 0.6923
Epoch [17/100], Step[63/526], Loss: 0.6852
Epoch [17/100], Step[64/526], Loss: 0.6785
Epoch [17/100], Step[65/526], Loss: 0.7154
Epoch [17/100], Step[66/526], Loss: 0.6815
Epoch [17/100], Step[67/526], Loss: 0.6702
Epoch [17/100], Step[68/526], Loss: 0.6550
Epoch [17/100], Step[69/526], Loss: 0.7010
Epoch [17/100], Step[70/526], Loss: 0.6842
Epoch [17/100], Step[71/526], Loss: 0.6640
Epoch [17/100], Step[72/526], Loss: 0.6726
Epoch [17/100], Step[73/526], Loss: 0.7047
Epoch [17/100], Step[74/526], Loss: 0.6640
Epoch [17/100], Step[75/526], Loss: 0.7108
Epoch [17/100], Step[76/526], Loss: 0.6979
Epoch [17/100], Step[77/526], Loss: 0.6823
Epoch [17/100], Step[78/526], Loss: 0.7059
Epoch [17/100], Step[79/526], Loss: 0.6964
Epoch [17/100], Step[80/526], Loss: 0.6977
Epoch [17/100], Step[81/526], Loss: 0.7041
Epoch [17/100], Step[82/526], Loss: 0.7333
Epoch [17/100], Step[83/526], Loss: 0.7123
Epoch [17/100], Step[84/526], Loss: 0.6966
Epoch [17/100], Step[85/526], Loss: 0.6629
Epoch [17/100], Step[86/526], Loss: 0.7065
Epoch [17/100], Step[87/526], Loss: 0.6796
Epoch [17/100], Step[88/526], Loss: 0.6842
Epoch [17/100], Step[89/526], Loss: 0.7145
Epoch [17/100], Step[90/526], Loss: 0.6906
Epoch [17/100], Step[91/526], Loss: 0.6749
Epoch [17/100], Step[92/526], Loss: 0.6735
Epoch [17/100], Step[93/526], Loss: 0.6780
Epoch [17/100], Step[94/526], Loss: 0.8020
Epoch [17/100], Step[95/526], Loss: 0.7115
Epoch [17/100], Step[96/526], Loss: 0.6320
Epoch [17/100], Step[97/526], Loss: 0.6086
Epoch [17/100], Step[98/526], Loss: 0.6992
Epoch [17/100], Step[99/526], Loss: 0.6816
Epoch [17/100], Step[100/526], Loss: 0.6821
Epoch [17/100], Step[101/526], Loss: 0.6580
Epoch [17/100], Step[102/526], Loss: 0.6279
Epoch [17/100], Step[103/526], Loss: 0.6585
Epoch [17/100], Step[104/526], Loss: 0.6410
Epoch [17/100], Step[105/526], Loss: 0.6493
Epoch [17/100], Step[106/526], Loss: 0.6831
Epoch [17/100], Step[107/526], Loss: 0.6495
Epoch [17/100], Step[108/526], Loss: 0.5926
Epoch [17/100], Step[109/526], Loss: 0.6826
Epoch [17/100], Step[110/526], Loss: 0.6879
Epoch [17/100], Step[111/526], Loss: 0.6010
Epoch [17/100], Step[112/526], Loss: 0.7296
Epoch [17/100], Step[113/526], Loss: 0.6138
Epoch [17/100], Step[114/526], Loss: 0.6620
Epoch [17/100], Step[115/526], Loss: 0.6178
Epoch [17/100], Step[116/526], Loss: 0.6184
Epoch [17/100], Step[117/526], Loss: 0.6382
Epoch [17/100], Step[118/526], Loss: 0.7432
Epoch [17/100], Step[119/526], Loss: 0.6743
Epoch [17/100], Step[120/526], Loss: 0.6709
Epoch [17/100], Step[121/526], Loss: 0.6952
Epoch [17/100], Step[122/526], Loss: 0.6429
Epoch [17/100], Step[123/526], Loss: 0.6542
Epoch [17/100], Step[124/526], Loss: 0.6770
Epoch [17/100], Step[125/526], Loss: 0.6421
Epoch [17/100], Step[126/526], Loss: 0.7094
Epoch [17/100], Step[127/526], Loss: 0.6721
Epoch [17/100], Step[128/526], Loss: 0.6443
Epoch [17/100], Step[129/526], Loss: 0.5910
Epoch [17/100], Step[130/526], Loss: 0.6047
Epoch [17/100], Step[131/526], Loss: 0.6823
Epoch [17/100], Step[132/526], Loss: 0.7319
Epoch [17/100], Step[133/526], Loss: 0.6796
Epoch [17/100], Step[134/526], Loss: 0.6316
Epoch [17/100], Step[135/526], Loss: 0.6504
Epoch [17/100], Step[136/526], Loss: 0.5733
Epoch [17/100], Step[137/526], Loss: 0.6261
Epoch [17/100], Step[138/526], Loss: 0.6578
Epoch [17/100], Step[139/526], Loss: 0.7166
Epoch [17/100], Step[140/526], Loss: 0.6002
Epoch [17/100], Step[141/526], Loss: 0.6820
Epoch [17/100], Step[142/526], Loss: 0.6654
Epoch [17/100], Step[143/526], Loss: 0.6901
Epoch [17/100], Step[144/526], Loss: 0.7843
Epoch [17/100], Step[145/526], Loss: 0.5710
Epoch [17/100], Step[146/526], Loss: 0.5164
Epoch [17/100], Step[147/526], Loss: 0.4760
Epoch [17/100], Step[148/526], Loss: 0.5847
Epoch [17/100], Step[149/526], Loss: 0.5077
Epoch [17/100], Step[150/526], Loss: 0.6147
Epoch [17/100], Step[151/526], Loss: 0.5674
Epoch [17/100], Step[152/526], Loss: 0.6266
Epoch [17/100], Step[153/526], Loss: 0.6347
Epoch [17/100], Step[154/526], Loss: 0.7379
Epoch [17/100], Step[155/526], Loss: 0.7040
Epoch [17/100], Step[156/526], Loss: 0.5161
Epoch [17/100], Step[157/526], Loss: 0.2863
Epoch [17/100], Step[158/526], Loss: 0.5956
Epoch [17/100], Step[159/526], Loss: 0.6669
Epoch [17/100], Step[160/526], Loss: 0.5529
Epoch [17/100], Step[161/526], Loss: 1.0932
Epoch [17/100], Step[162/526], Loss: 0.6879
Epoch [17/100], Step[163/526], Loss: 0.7258
Epoch [17/100], Step[164/526], Loss: 0.6189
Epoch [17/100], Step[165/526], Loss: 0.7298
Epoch [17/100], Step[166/526], Loss: 0.4808
Epoch [17/100], Step[167/526], Loss: 0.5243
Epoch [17/100], Step[168/526], Loss: 0.6974
Epoch [17/100], Step[169/526], Loss: 0.7609
Epoch [17/100], Step[170/526], Loss: 0.6956
Epoch [17/100], Step[171/526], Loss: 0.7369
Epoch [17/100], Step[172/526], Loss: 0.7204
Epoch [17/100], Step[173/526], Loss: 0.8145
Epoch [17/100], Step[174/526], Loss: 0.6471
Epoch [17/100], Step[175/526], Loss: 0.6523
Epoch [17/100], Step[176/526], Loss: 0.6350
Epoch [17/100], Step[177/526], Loss: 0.6488
Epoch [17/100], Step[178/526], Loss: 0.6973
Epoch [17/100], Step[179/526], Loss: 0.6346
Epoch [17/100], Step[180/526], Loss: 0.6822
Epoch [17/100], Step[181/526], Loss: 0.6348
Epoch [17/100], Step[182/526], Loss: 0.6853
Epoch [17/100], Step[183/526], Loss: 0.5192
Epoch [17/100], Step[184/526], Loss: 0.5913
Epoch [17/100], Step[185/526], Loss: 0.5785
Epoch [17/100], Step[186/526], Loss: 0.6617
Epoch [17/100], Step[187/526], Loss: 0.7383
Epoch [17/100], Step[188/526], Loss: 0.7084
Epoch [17/100], Step[189/526], Loss: 0.6980
Epoch [17/100], Step[190/526], Loss: 0.6082
Epoch [17/100], Step[191/526], Loss: 0.7377
Epoch [17/100], Step[192/526], Loss: 0.7895
Epoch [17/100], Step[193/526], Loss: 0.6599
Epoch [17/100], Step[194/526], Loss: 0.6175
Epoch [17/100], Step[195/526], Loss: 0.6536
Epoch [17/100], Step[196/526], Loss: 0.7298
Epoch [17/100], Step[197/526], Loss: 0.6925
Epoch [17/100], Step[198/526], Loss: 0.6262
Epoch [17/100], Step[199/526], Loss: 0.7226
Epoch [17/100], Step[200/526], Loss: 0.6534
Epoch [17/100], Step[201/526], Loss: 0.6822
Epoch [17/100], Step[202/526], Loss: 0.7473
Epoch [17/100], Step[203/526], Loss: 0.7101
Epoch [17/100], Step[204/526], Loss: 0.7597
Epoch [17/100], Step[205/526], Loss: 0.7145
Epoch [17/100], Step[206/526], Loss: 0.6809
Epoch [17/100], Step[207/526], Loss: 0.7085
Epoch [17/100], Step[208/526], Loss: 0.6802
Epoch [17/100], Step[209/526], Loss: 0.6808
Epoch [17/100], Step[210/526], Loss: 0.7943
Epoch [17/100], Step[211/526], Loss: 0.6403
Epoch [17/100], Step[212/526], Loss: 0.6875
Epoch [17/100], Step[213/526], Loss: 0.7156
Epoch [17/100], Step[214/526], Loss: 0.7551
Epoch [17/100], Step[215/526], Loss: 0.6934
Epoch [17/100], Step[216/526], Loss: 0.6826
Epoch [17/100], Step[217/526], Loss: 0.6760
Epoch [17/100], Step[218/526], Loss: 0.6980
Epoch [17/100], Step[219/526], Loss: 0.7024
Epoch [17/100], Step[220/526], Loss: 0.7365
Epoch [17/100], Step[221/526], Loss: 0.6973
Epoch [17/100], Step[222/526], Loss: 0.7559
Epoch [17/100], Step[223/526], Loss: 0.6733
Epoch [17/100], Step[224/526], Loss: 0.6812
Epoch [17/100], Step[225/526], Loss: 0.7313
Epoch [17/100], Step[226/526], Loss: 0.6804
Epoch [17/100], Step[227/526], Loss: 0.6758
Epoch [17/100], Step[228/526], Loss: 0.6676
Epoch [17/100], Step[229/526], Loss: 0.6845
Epoch [17/100], Step[230/526], Loss: 0.6526
Epoch [17/100], Step[231/526], Loss: 0.6653
Epoch [17/100], Step[232/526], Loss: 0.7158
Epoch [17/100], Step[233/526], Loss: 0.6934
Epoch [17/100], Step[234/526], Loss: 0.6875
Epoch [17/100], Step[235/526], Loss: 0.7031
Epoch [17/100], Step[236/526], Loss: 0.6843
Epoch [17/100], Step[237/526], Loss: 0.7276
Epoch [17/100], Step[238/526], Loss: 0.6939
Epoch [17/100], Step[239/526], Loss: 0.6709
Epoch [17/100], Step[240/526], Loss: 0.7230
Epoch [17/100], Step[241/526], Loss: 0.6939
Epoch [17/100], Step[242/526], Loss: 0.7139
Epoch [17/100], Step[243/526], Loss: 0.6652
Epoch [17/100], Step[244/526], Loss: 0.6462
Epoch [17/100], Step[245/526], Loss: 0.6435
Epoch [17/100], Step[246/526], Loss: 0.6711
Epoch [17/100], Step[247/526], Loss: 0.6227
Epoch [17/100], Step[248/526], Loss: 0.6480
Epoch [17/100], Step[249/526], Loss: 0.6607
Epoch [17/100], Step[250/526], Loss: 0.6769
Epoch [17/100], Step[251/526], Loss: 0.6930
Epoch [17/100], Step[252/526], Loss: 0.6966
Epoch [17/100], Step[253/526], Loss: 0.6328
Epoch [17/100], Step[254/526], Loss: 0.6692
Epoch [17/100], Step[255/526], Loss: 0.6063
Epoch [17/100], Step[256/526], Loss: 0.6845
Epoch [17/100], Step[257/526], Loss: 0.6622
Epoch [17/100], Step[258/526], Loss: 0.6478
Epoch [17/100], Step[259/526], Loss: 0.6835
Epoch [17/100], Step[260/526], Loss: 0.7208
Epoch [17/100], Step[261/526], Loss: 0.7404
Epoch [17/100], Step[262/526], Loss: 0.6757
Epoch [17/100], Step[263/526], Loss: 0.6701
Epoch [17/100], Step[264/526], Loss: 0.6481
Epoch [17/100], Step[265/526], Loss: 0.6364
Epoch [17/100], Step[266/526], Loss: 0.6115
Epoch [17/100], Step[267/526], Loss: 0.5013
Epoch [17/100], Step[268/526], Loss: 0.5772
Epoch [17/100], Step[269/526], Loss: 0.4934
Epoch [17/100], Step[270/526], Loss: 0.4405
Epoch [17/100], Step[271/526], Loss: 0.5435
Epoch [17/100], Step[272/526], Loss: 0.5537
Epoch [17/100], Step[273/526], Loss: 0.6258
Epoch [17/100], Step[274/526], Loss: 0.4705
Epoch [17/100], Step[275/526], Loss: 0.4489
Epoch [17/100], Step[276/526], Loss: 0.4878
Epoch [17/100], Step[277/526], Loss: 0.4474
Epoch [17/100], Step[278/526], Loss: 0.4711
Epoch [17/100], Step[279/526], Loss: 0.4173
Epoch [17/100], Step[280/526], Loss: 0.4574
Epoch [17/100], Step[281/526], Loss: 0.6117
Epoch [17/100], Step[282/526], Loss: 0.3879
Epoch [17/100], Step[283/526], Loss: 0.3677
Epoch [17/100], Step[284/526], Loss: 0.4066
Epoch [17/100], Step[285/526], Loss: 0.2938
Epoch [17/100], Step[286/526], Loss: 0.6809
Epoch [17/100], Step[287/526], Loss: 0.4849
Epoch [17/100], Step[288/526], Loss: 0.4417
Epoch [17/100], Step[289/526], Loss: 0.6017
Epoch [17/100], Step[290/526], Loss: 0.4277
Epoch [17/100], Step[291/526], Loss: 0.4871
Epoch [17/100], Step[292/526], Loss: 0.2577
Epoch [17/100], Step[293/526], Loss: 0.3153
Epoch [17/100], Step[294/526], Loss: 0.3328
Epoch [17/100], Step[295/526], Loss: 0.4127
Epoch [17/100], Step[296/526], Loss: 0.6027
Epoch [17/100], Step[297/526], Loss: 0.2775
Epoch [17/100], Step[298/526], Loss: 0.2982
Epoch [17/100], Step[299/526], Loss: 0.2683
Epoch [17/100], Step[300/526], Loss: 0.3325
Epoch [17/100], Step[301/526], Loss: 0.5893
Epoch [17/100], Step[302/526], Loss: 0.3079
Epoch [17/100], Step[303/526], Loss: 0.4882
Epoch [17/100], Step[304/526], Loss: 0.2660
Epoch [17/100], Step[305/526], Loss: 0.2772
Epoch [17/100], Step[306/526], Loss: 0.5770
Epoch [17/100], Step[307/526], Loss: 0.8763
Epoch [17/100], Step[308/526], Loss: 1.2945
Epoch [17/100], Step[309/526], Loss: 0.9157
Epoch [17/100], Step[310/526], Loss: 0.9720
Epoch [17/100], Step[311/526], Loss: 0.8220
Epoch [17/100], Step[312/526], Loss: 0.5046
Epoch [17/100], Step[313/526], Loss: 0.4807
Epoch [17/100], Step[314/526], Loss: 0.6573
Epoch [17/100], Step[315/526], Loss: 0.7042
Epoch [17/100], Step[316/526], Loss: 0.5129
Epoch [17/100], Step[317/526], Loss: 0.3119
Epoch [17/100], Step[318/526], Loss: 0.7337
Epoch [17/100], Step[319/526], Loss: 0.3598
Epoch [17/100], Step[320/526], Loss: 0.5687
Epoch [17/100], Step[321/526], Loss: 0.7531
Epoch [17/100], Step[322/526], Loss: 0.2734
Epoch [17/100], Step[323/526], Loss: 0.5980
Epoch [17/100], Step[324/526], Loss: 0.6740
Epoch [17/100], Step[325/526], Loss: 0.5744
Epoch [17/100], Step[326/526], Loss: 0.8033
Epoch [17/100], Step[327/526], Loss: 0.7330
Epoch [17/100], Step[328/526], Loss: 0.9023
Epoch [17/100], Step[329/526], Loss: 1.2234
Epoch [17/100], Step[330/526], Loss: 0.9602
Epoch [17/100], Step[331/526], Loss: 0.8354
Epoch [17/100], Step[332/526], Loss: 0.8779
Epoch [17/100], Step[333/526], Loss: 0.7749
Epoch [17/100], Step[334/526], Loss: 0.7926
Epoch [17/100], Step[335/526], Loss: 0.8420
Epoch [17/100], Step[336/526], Loss: 0.6888
Epoch [17/100], Step[337/526], Loss: 0.6061
Epoch [17/100], Step[338/526], Loss: 0.7119
Epoch [17/100], Step[339/526], Loss: 0.6565
Epoch [17/100], Step[340/526], Loss: 0.7338
Epoch [17/100], Step[341/526], Loss: 0.7988
Epoch [17/100], Step[342/526], Loss: 0.8008
Epoch [17/100], Step[343/526], Loss: 0.5558
Epoch [17/100], Step[344/526], Loss: 0.7402
Epoch [17/100], Step[345/526], Loss: 0.6590
Epoch [17/100], Step[346/526], Loss: 0.6848
Epoch [17/100], Step[347/526], Loss: 0.6988
Epoch [17/100], Step[348/526], Loss: 0.6460
Epoch [17/100], Step[349/526], Loss: 0.5849
Epoch [17/100], Step[350/526], Loss: 0.6828
Epoch [17/100], Step[351/526], Loss: 0.7224
Epoch [17/100], Step[352/526], Loss: 0.6130
Epoch [17/100], Step[353/526], Loss: 0.6961
Epoch [17/100], Step[354/526], Loss: 0.6713
Epoch [17/100], Step[355/526], Loss: 0.6759
Epoch [17/100], Step[356/526], Loss: 0.7069
Epoch [17/100], Step[357/526], Loss: 0.6620
Epoch [17/100], Step[358/526], Loss: 0.6962
Epoch [17/100], Step[359/526], Loss: 0.6642
Epoch [17/100], Step[360/526], Loss: 0.6727
Epoch [17/100], Step[361/526], Loss: 0.7410
Epoch [17/100], Step[362/526], Loss: 0.7079
Epoch [17/100], Step[363/526], Loss: 0.6885
Epoch [17/100], Step[364/526], Loss: 0.7242
Epoch [17/100], Step[365/526], Loss: 0.7228
Epoch [17/100], Step[366/526], Loss: 0.6858
Epoch [17/100], Step[367/526], Loss: 0.6869
Epoch [17/100], Step[368/526], Loss: 0.6534
Epoch [17/100], Step[369/526], Loss: 0.6628
Epoch [17/100], Step[370/526], Loss: 0.6236
Epoch [17/100], Step[371/526], Loss: 0.7408
Epoch [17/100], Step[372/526], Loss: 0.6513
Epoch [17/100], Step[373/526], Loss: 0.6827
Epoch [17/100], Step[374/526], Loss: 0.7024
Epoch [17/100], Step[375/526], Loss: 0.6563
Epoch [17/100], Step[376/526], Loss: 0.6497
Epoch [17/100], Step[377/526], Loss: 0.6809
Epoch [17/100], Step[378/526], Loss: 0.6975
Epoch [17/100], Step[379/526], Loss: 0.7277
Epoch [17/100], Step[380/526], Loss: 0.6108
Epoch [17/100], Step[381/526], Loss: 0.6011
Epoch [17/100], Step[382/526], Loss: 0.6737
Epoch [17/100], Step[383/526], Loss: 0.6884
Epoch [17/100], Step[384/526], Loss: 0.6415
Epoch [17/100], Step[385/526], Loss: 0.6320
Epoch [17/100], Step[386/526], Loss: 0.6652
Epoch [17/100], Step[387/526], Loss: 0.6574
Epoch [17/100], Step[388/526], Loss: 0.5963
Epoch [17/100], Step[389/526], Loss: 0.7174
Epoch [17/100], Step[390/526], Loss: 0.5999
Epoch [17/100], Step[391/526], Loss: 0.6492
Epoch [17/100], Step[392/526], Loss: 0.6958
Epoch [17/100], Step[393/526], Loss: 0.5943
Epoch [17/100], Step[394/526], Loss: 0.5106
Epoch [17/100], Step[395/526], Loss: 0.6331
Epoch [17/100], Step[396/526], Loss: 0.6316
Epoch [17/100], Step[397/526], Loss: 0.4783
Epoch [17/100], Step[398/526], Loss: 0.5982
Epoch [17/100], Step[399/526], Loss: 0.6568
Epoch [17/100], Step[400/526], Loss: 0.4708
Epoch [17/100], Step[401/526], Loss: 0.5765
Epoch [17/100], Step[402/526], Loss: 0.6182
Epoch [17/100], Step[403/526], Loss: 0.7109
Epoch [17/100], Step[404/526], Loss: 0.4829
Epoch [17/100], Step[405/526], Loss: 0.5043
Epoch [17/100], Step[406/526], Loss: 0.6480
Epoch [17/100], Step[407/526], Loss: 0.7378
Epoch [17/100], Step[408/526], Loss: 0.6457
Epoch [17/100], Step[409/526], Loss: 0.4441
Epoch [17/100], Step[410/526], Loss: 0.4722
Epoch [17/100], Step[411/526], Loss: 0.5287
Epoch [17/100], Step[412/526], Loss: 0.5789
Epoch [17/100], Step[413/526], Loss: 0.5871
Epoch [17/100], Step[414/526], Loss: 0.6266
Epoch [17/100], Step[415/526], Loss: 0.6178
Epoch [17/100], Step[416/526], Loss: 0.5354
Epoch [17/100], Step[417/526], Loss: 0.4639
Epoch [17/100], Step[418/526], Loss: 0.7636
Epoch [17/100], Step[419/526], Loss: 0.7002
Epoch [17/100], Step[420/526], Loss: 0.6847
Epoch [17/100], Step[421/526], Loss: 0.6264
Epoch [17/100], Step[422/526], Loss: 0.7988
Epoch [17/100], Step[423/526], Loss: 0.7102
Epoch [17/100], Step[424/526], Loss: 0.7411
Epoch [17/100], Step[425/526], Loss: 0.7160
Epoch [17/100], Step[426/526], Loss: 0.7671
Epoch [17/100], Step[427/526], Loss: 0.6878
Epoch [17/100], Step[428/526], Loss: 0.7110
Epoch [17/100], Step[429/526], Loss: 0.7360
Epoch [17/100], Step[430/526], Loss: 0.8053
Epoch [17/100], Step[431/526], Loss: 0.7217
Epoch [17/100], Step[432/526], Loss: 0.7392
Epoch [17/100], Step[433/526], Loss: 0.6911
Epoch [17/100], Step[434/526], Loss: 0.6215
Epoch [17/100], Step[435/526], Loss: 0.7927
Epoch [17/100], Step[436/526], Loss: 0.8115
Epoch [17/100], Step[437/526], Loss: 0.5293
Epoch [17/100], Step[438/526], Loss: 0.3677
Epoch [17/100], Step[439/526], Loss: 0.7483
Epoch [17/100], Step[440/526], Loss: 0.6887
Epoch [17/100], Step[441/526], Loss: 0.7039
Epoch [17/100], Step[442/526], Loss: 0.6387
Epoch [17/100], Step[443/526], Loss: 0.6704
Epoch [17/100], Step[444/526], Loss: 0.7616
Epoch [17/100], Step[445/526], Loss: 0.6951
Epoch [17/100], Step[446/526], Loss: 0.7226
Epoch [17/100], Step[447/526], Loss: 0.7184
Epoch [17/100], Step[448/526], Loss: 0.7485
Epoch [17/100], Step[449/526], Loss: 0.7073
Epoch [17/100], Step[450/526], Loss: 0.6042
Epoch [17/100], Step[451/526], Loss: 0.6367
Epoch [17/100], Step[452/526], Loss: 0.7333
Epoch [17/100], Step[453/526], Loss: 0.7285
Epoch [17/100], Step[454/526], Loss: 0.8049
Epoch [17/100], Step[455/526], Loss: 0.6648
Epoch [17/100], Step[456/526], Loss: 0.6402
Epoch [17/100], Step[457/526], Loss: 0.6932
Epoch [17/100], Step[458/526], Loss: 0.6630
Epoch [17/100], Step[459/526], Loss: 0.6710
Epoch [17/100], Step[460/526], Loss: 0.6550
Epoch [17/100], Step[461/526], Loss: 0.6284
Epoch [17/100], Step[462/526], Loss: 0.6724
Epoch [17/100], Step[463/526], Loss: 0.6536
Epoch [17/100], Step[464/526], Loss: 0.6584
Epoch [17/100], Step[465/526], Loss: 0.6659
Epoch [17/100], Step[466/526], Loss: 0.6624
Epoch [17/100], Step[467/526], Loss: 0.6486
Epoch [17/100], Step[468/526], Loss: 0.6406
Epoch [17/100], Step[469/526], Loss: 0.7916
Epoch [17/100], Step[470/526], Loss: 0.6625
Epoch [17/100], Step[471/526], Loss: 0.7001
Epoch [17/100], Step[472/526], Loss: 0.6763
Epoch [17/100], Step[473/526], Loss: 0.6784
Epoch [17/100], Step[474/526], Loss: 0.6717
Epoch [17/100], Step[475/526], Loss: 0.7963
Epoch [17/100], Step[476/526], Loss: 0.7541
Epoch [17/100], Step[477/526], Loss: 0.7010
Epoch [17/100], Step[478/526], Loss: 0.6966
Epoch [17/100], Step[479/526], Loss: 0.6681
Epoch [17/100], Step[480/526], Loss: 0.7383
Epoch [17/100], Step[481/526], Loss: 0.7063
Epoch [17/100], Step[482/526], Loss: 0.6342
Epoch [17/100], Step[483/526], Loss: 0.5672
Epoch [17/100], Step[484/526], Loss: 0.6906
Epoch [17/100], Step[485/526], Loss: 0.7951
Epoch [17/100], Step[486/526], Loss: 0.7111
Epoch [17/100], Step[487/526], Loss: 0.7374
Epoch [17/100], Step[488/526], Loss: 0.6954
Epoch [17/100], Step[489/526], Loss: 0.6424
Epoch [17/100], Step[490/526], Loss: 0.6207
Epoch [17/100], Step[491/526], Loss: 0.7040
Epoch [17/100], Step[492/526], Loss: 0.6621
Epoch [17/100], Step[493/526], Loss: 0.6601
Epoch [17/100], Step[494/526], Loss: 0.6522
Epoch [17/100], Step[495/526], Loss: 0.6872
Epoch [17/100], Step[496/526], Loss: 0.6734
Epoch [17/100], Step[497/526], Loss: 0.6436
Epoch [17/100], Step[498/526], Loss: 0.6803
Epoch [17/100], Step[499/526], Loss: 0.6791
Epoch [17/100], Step[500/526], Loss: 0.6792
Epoch [17/100], Step[501/526], Loss: 0.6590
Epoch [17/100], Step[502/526], Loss: 0.6960
Epoch [17/100], Step[503/526], Loss: 0.7075
Epoch [17/100], Step[504/526], Loss: 0.6934
Epoch [17/100], Step[505/526], Loss: 0.7070
Epoch [17/100], Step[506/526], Loss: 0.6864
Epoch [17/100], Step[507/526], Loss: 0.6757
Epoch [17/100], Step[508/526], Loss: 0.6974
Epoch [17/100], Step[509/526], Loss: 0.6622
Epoch [17/100], Step[510/526], Loss: 0.6998
Epoch [17/100], Step[511/526], Loss: 0.6448
Epoch [17/100], Step[512/526], Loss: 0.6764
Epoch [17/100], Step[513/526], Loss: 0.6530
Epoch [17/100], Step[514/526], Loss: 0.6518
Epoch [17/100], Step[515/526], Loss: 0.5904
Epoch [17/100], Step[516/526], Loss: 0.7429
Epoch [17/100], Step[517/526], Loss: 0.6923
Epoch [17/100], Step[518/526], Loss: 0.7309
Epoch [17/100], Step[519/526], Loss: 0.7132
Epoch [17/100], Step[520/526], Loss: 0.6739
Epoch [17/100], Step[521/526], Loss: 0.6614
Epoch [17/100], Step[522/526], Loss: 0.6212
Epoch [17/100], Step[523/526], Loss: 0.6481
Epoch [17/100], Step[524/526], Loss: 0.6471
Epoch [17/100], Step[525/526], Loss: 0.7411
Epoch [17/100], Step[526/526], Loss: 0.6931
Epoch [18/100], Step[1/526], Loss: 0.6598
Epoch [18/100], Step[2/526], Loss: 0.6467
Epoch [18/100], Step[3/526], Loss: 0.6736
Epoch [18/100], Step[4/526], Loss: 0.6372
Epoch [18/100], Step[5/526], Loss: 0.7304
Epoch [18/100], Step[6/526], Loss: 0.7297
Epoch [18/100], Step[7/526], Loss: 0.7005
Epoch [18/100], Step[8/526], Loss: 0.6853
Epoch [18/100], Step[9/526], Loss: 0.7085
Epoch [18/100], Step[10/526], Loss: 0.6853
Epoch [18/100], Step[11/526], Loss: 0.6633
Epoch [18/100], Step[12/526], Loss: 0.7189
Epoch [18/100], Step[13/526], Loss: 0.6387
Epoch [18/100], Step[14/526], Loss: 0.6652
Epoch [18/100], Step[15/526], Loss: 0.6890
Epoch [18/100], Step[16/526], Loss: 0.6975
Epoch [18/100], Step[17/526], Loss: 0.6972
Epoch [18/100], Step[18/526], Loss: 0.6978
Epoch [18/100], Step[19/526], Loss: 0.6723
Epoch [18/100], Step[20/526], Loss: 0.7154
Epoch [18/100], Step[21/526], Loss: 0.7363
Epoch [18/100], Step[22/526], Loss: 0.7227
Epoch [18/100], Step[23/526], Loss: 0.7351
Epoch [18/100], Step[24/526], Loss: 0.7152
Epoch [18/100], Step[25/526], Loss: 0.6911
Epoch [18/100], Step[26/526], Loss: 0.6407
Epoch [18/100], Step[27/526], Loss: 0.6917
Epoch [18/100], Step[28/526], Loss: 0.6938
Epoch [18/100], Step[29/526], Loss: 0.6599
Epoch [18/100], Step[30/526], Loss: 0.6906
Epoch [18/100], Step[31/526], Loss: 0.7060
Epoch [18/100], Step[32/526], Loss: 0.6722
Epoch [18/100], Step[33/526], Loss: 0.7130
Epoch [18/100], Step[34/526], Loss: 0.6868
Epoch [18/100], Step[35/526], Loss: 0.7070
Epoch [18/100], Step[36/526], Loss: 0.6951
Epoch [18/100], Step[37/526], Loss: 0.6928
Epoch [18/100], Step[38/526], Loss: 0.6940
Epoch [18/100], Step[39/526], Loss: 0.7095
Epoch [18/100], Step[40/526], Loss: 0.7226
Epoch [18/100], Step[41/526], Loss: 0.6536
Epoch [18/100], Step[42/526], Loss: 0.7237
Epoch [18/100], Step[43/526], Loss: 0.7166
Epoch [18/100], Step[44/526], Loss: 0.6855
Epoch [18/100], Step[45/526], Loss: 0.6825
Epoch [18/100], Step[46/526], Loss: 0.6856
Epoch [18/100], Step[47/526], Loss: 0.7103
Epoch [18/100], Step[48/526], Loss: 0.7201
Epoch [18/100], Step[49/526], Loss: 0.7043
Epoch [18/100], Step[50/526], Loss: 0.7172
Epoch [18/100], Step[51/526], Loss: 0.6973
Epoch [18/100], Step[52/526], Loss: 0.6838
Epoch [18/100], Step[53/526], Loss: 0.7207
Epoch [18/100], Step[54/526], Loss: 0.6987
Epoch [18/100], Step[55/526], Loss: 0.6930
Epoch [18/100], Step[56/526], Loss: 0.6965
Epoch [18/100], Step[57/526], Loss: 0.6841
Epoch [18/100], Step[58/526], Loss: 0.6751
Epoch [18/100], Step[59/526], Loss: 0.6701
Epoch [18/100], Step[60/526], Loss: 0.6725
Epoch [18/100], Step[61/526], Loss: 0.6472
Epoch [18/100], Step[62/526], Loss: 0.6926
Epoch [18/100], Step[63/526], Loss: 0.6844
Epoch [18/100], Step[64/526], Loss: 0.6780
Epoch [18/100], Step[65/526], Loss: 0.7164
Epoch [18/100], Step[66/526], Loss: 0.6824
Epoch [18/100], Step[67/526], Loss: 0.6695
Epoch [18/100], Step[68/526], Loss: 0.6547
Epoch [18/100], Step[69/526], Loss: 0.7013
Epoch [18/100], Step[70/526], Loss: 0.6847
Epoch [18/100], Step[71/526], Loss: 0.6628
Epoch [18/100], Step[72/526], Loss: 0.6731
Epoch [18/100], Step[73/526], Loss: 0.7058
Epoch [18/100], Step[74/526], Loss: 0.6633
Epoch [18/100], Step[75/526], Loss: 0.7097
Epoch [18/100], Step[76/526], Loss: 0.6973
Epoch [18/100], Step[77/526], Loss: 0.6839
Epoch [18/100], Step[78/526], Loss: 0.7061
Epoch [18/100], Step[79/526], Loss: 0.6961
Epoch [18/100], Step[80/526], Loss: 0.6978
Epoch [18/100], Step[81/526], Loss: 0.7037
Epoch [18/100], Step[82/526], Loss: 0.7333
Epoch [18/100], Step[83/526], Loss: 0.7117
Epoch [18/100], Step[84/526], Loss: 0.6963
Epoch [18/100], Step[85/526], Loss: 0.6625
Epoch [18/100], Step[86/526], Loss: 0.7069
Epoch [18/100], Step[87/526], Loss: 0.6787
Epoch [18/100], Step[88/526], Loss: 0.6849
Epoch [18/100], Step[89/526], Loss: 0.7149
Epoch [18/100], Step[90/526], Loss: 0.6896
Epoch [18/100], Step[91/526], Loss: 0.6752
Epoch [18/100], Step[92/526], Loss: 0.6737
Epoch [18/100], Step[93/526], Loss: 0.6785
Epoch [18/100], Step[94/526], Loss: 0.8030
Epoch [18/100], Step[95/526], Loss: 0.7132
Epoch [18/100], Step[96/526], Loss: 0.6324
Epoch [18/100], Step[97/526], Loss: 0.6068
Epoch [18/100], Step[98/526], Loss: 0.6983
Epoch [18/100], Step[99/526], Loss: 0.6813
Epoch [18/100], Step[100/526], Loss: 0.6802
Epoch [18/100], Step[101/526], Loss: 0.6582
Epoch [18/100], Step[102/526], Loss: 0.6274
Epoch [18/100], Step[103/526], Loss: 0.6628
Epoch [18/100], Step[104/526], Loss: 0.6417
Epoch [18/100], Step[105/526], Loss: 0.6485
Epoch [18/100], Step[106/526], Loss: 0.6849
Epoch [18/100], Step[107/526], Loss: 0.6487
Epoch [18/100], Step[108/526], Loss: 0.5925
Epoch [18/100], Step[109/526], Loss: 0.6828
Epoch [18/100], Step[110/526], Loss: 0.6905
Epoch [18/100], Step[111/526], Loss: 0.5979
Epoch [18/100], Step[112/526], Loss: 0.7328
Epoch [18/100], Step[113/526], Loss: 0.6124
Epoch [18/100], Step[114/526], Loss: 0.6617
Epoch [18/100], Step[115/526], Loss: 0.6162
Epoch [18/100], Step[116/526], Loss: 0.6217
Epoch [18/100], Step[117/526], Loss: 0.6405
Epoch [18/100], Step[118/526], Loss: 0.7441
Epoch [18/100], Step[119/526], Loss: 0.6747
Epoch [18/100], Step[120/526], Loss: 0.6725
Epoch [18/100], Step[121/526], Loss: 0.6969
Epoch [18/100], Step[122/526], Loss: 0.6414
Epoch [18/100], Step[123/526], Loss: 0.6529
Epoch [18/100], Step[124/526], Loss: 0.6764
Epoch [18/100], Step[125/526], Loss: 0.6431
Epoch [18/100], Step[126/526], Loss: 0.7107
Epoch [18/100], Step[127/526], Loss: 0.6706
Epoch [18/100], Step[128/526], Loss: 0.6457
Epoch [18/100], Step[129/526], Loss: 0.5941
Epoch [18/100], Step[130/526], Loss: 0.6086
Epoch [18/100], Step[131/526], Loss: 0.6802
Epoch [18/100], Step[132/526], Loss: 0.7298
Epoch [18/100], Step[133/526], Loss: 0.6782
Epoch [18/100], Step[134/526], Loss: 0.6316
Epoch [18/100], Step[135/526], Loss: 0.6503
Epoch [18/100], Step[136/526], Loss: 0.5744
Epoch [18/100], Step[137/526], Loss: 0.6266
Epoch [18/100], Step[138/526], Loss: 0.6575
Epoch [18/100], Step[139/526], Loss: 0.7167
Epoch [18/100], Step[140/526], Loss: 0.5998
Epoch [18/100], Step[141/526], Loss: 0.6835
Epoch [18/100], Step[142/526], Loss: 0.6653
Epoch [18/100], Step[143/526], Loss: 0.6900
Epoch [18/100], Step[144/526], Loss: 0.7847
Epoch [18/100], Step[145/526], Loss: 0.5697
Epoch [18/100], Step[146/526], Loss: 0.5158
Epoch [18/100], Step[147/526], Loss: 0.4734
Epoch [18/100], Step[148/526], Loss: 0.5849
Epoch [18/100], Step[149/526], Loss: 0.5069
Epoch [18/100], Step[150/526], Loss: 0.6102
Epoch [18/100], Step[151/526], Loss: 0.5640
Epoch [18/100], Step[152/526], Loss: 0.6261
Epoch [18/100], Step[153/526], Loss: 0.6335
Epoch [18/100], Step[154/526], Loss: 0.7369
Epoch [18/100], Step[155/526], Loss: 0.7018
Epoch [18/100], Step[156/526], Loss: 0.5168
Epoch [18/100], Step[157/526], Loss: 0.2861
Epoch [18/100], Step[158/526], Loss: 0.5912
Epoch [18/100], Step[159/526], Loss: 0.6693
Epoch [18/100], Step[160/526], Loss: 0.5460
Epoch [18/100], Step[161/526], Loss: 1.0890
Epoch [18/100], Step[162/526], Loss: 0.6836
Epoch [18/100], Step[163/526], Loss: 0.7242
Epoch [18/100], Step[164/526], Loss: 0.6183
Epoch [18/100], Step[165/526], Loss: 0.7077
Epoch [18/100], Step[166/526], Loss: 0.4734
Epoch [18/100], Step[167/526], Loss: 0.5266
Epoch [18/100], Step[168/526], Loss: 0.7092
Epoch [18/100], Step[169/526], Loss: 0.7830
Epoch [18/100], Step[170/526], Loss: 0.7014
Epoch [18/100], Step[171/526], Loss: 0.7806
Epoch [18/100], Step[172/526], Loss: 0.7162
Epoch [18/100], Step[173/526], Loss: 0.8313
Epoch [18/100], Step[174/526], Loss: 0.6517
Epoch [18/100], Step[175/526], Loss: 0.6522
Epoch [18/100], Step[176/526], Loss: 0.6336
Epoch [18/100], Step[177/526], Loss: 0.6571
Epoch [18/100], Step[178/526], Loss: 0.6967
Epoch [18/100], Step[179/526], Loss: 0.6415
Epoch [18/100], Step[180/526], Loss: 0.6862
Epoch [18/100], Step[181/526], Loss: 0.6346
Epoch [18/100], Step[182/526], Loss: 0.6859
Epoch [18/100], Step[183/526], Loss: 0.5181
Epoch [18/100], Step[184/526], Loss: 0.5925
Epoch [18/100], Step[185/526], Loss: 0.5799
Epoch [18/100], Step[186/526], Loss: 0.6666
Epoch [18/100], Step[187/526], Loss: 0.7316
Epoch [18/100], Step[188/526], Loss: 0.7039
Epoch [18/100], Step[189/526], Loss: 0.6978
Epoch [18/100], Step[190/526], Loss: 0.6066
Epoch [18/100], Step[191/526], Loss: 0.7284
Epoch [18/100], Step[192/526], Loss: 0.7751
Epoch [18/100], Step[193/526], Loss: 0.6604
Epoch [18/100], Step[194/526], Loss: 0.6150
Epoch [18/100], Step[195/526], Loss: 0.6531
Epoch [18/100], Step[196/526], Loss: 0.7226
Epoch [18/100], Step[197/526], Loss: 0.6865
Epoch [18/100], Step[198/526], Loss: 0.6268
Epoch [18/100], Step[199/526], Loss: 0.7268
Epoch [18/100], Step[200/526], Loss: 0.6562
Epoch [18/100], Step[201/526], Loss: 0.6808
Epoch [18/100], Step[202/526], Loss: 0.7397
Epoch [18/100], Step[203/526], Loss: 0.7110
Epoch [18/100], Step[204/526], Loss: 0.7443
Epoch [18/100], Step[205/526], Loss: 0.7110
Epoch [18/100], Step[206/526], Loss: 0.6807
Epoch [18/100], Step[207/526], Loss: 0.7066
Epoch [18/100], Step[208/526], Loss: 0.6804
Epoch [18/100], Step[209/526], Loss: 0.6803
Epoch [18/100], Step[210/526], Loss: 0.7961
Epoch [18/100], Step[211/526], Loss: 0.6456
Epoch [18/100], Step[212/526], Loss: 0.6871
Epoch [18/100], Step[213/526], Loss: 0.7126
Epoch [18/100], Step[214/526], Loss: 0.7548
Epoch [18/100], Step[215/526], Loss: 0.6924
Epoch [18/100], Step[216/526], Loss: 0.6820
Epoch [18/100], Step[217/526], Loss: 0.6731
Epoch [18/100], Step[218/526], Loss: 0.6991
Epoch [18/100], Step[219/526], Loss: 0.7028
Epoch [18/100], Step[220/526], Loss: 0.7380
Epoch [18/100], Step[221/526], Loss: 0.6958
Epoch [18/100], Step[222/526], Loss: 0.7576
Epoch [18/100], Step[223/526], Loss: 0.6744
Epoch [18/100], Step[224/526], Loss: 0.6822
Epoch [18/100], Step[225/526], Loss: 0.7324
Epoch [18/100], Step[226/526], Loss: 0.6822
Epoch [18/100], Step[227/526], Loss: 0.6774
Epoch [18/100], Step[228/526], Loss: 0.6680
Epoch [18/100], Step[229/526], Loss: 0.6838
Epoch [18/100], Step[230/526], Loss: 0.6550
Epoch [18/100], Step[231/526], Loss: 0.6660
Epoch [18/100], Step[232/526], Loss: 0.7130
Epoch [18/100], Step[233/526], Loss: 0.6933
Epoch [18/100], Step[234/526], Loss: 0.6847
Epoch [18/100], Step[235/526], Loss: 0.7051
Epoch [18/100], Step[236/526], Loss: 0.6864
Epoch [18/100], Step[237/526], Loss: 0.7253
Epoch [18/100], Step[238/526], Loss: 0.6926
Epoch [18/100], Step[239/526], Loss: 0.6710
Epoch [18/100], Step[240/526], Loss: 0.7219
Epoch [18/100], Step[241/526], Loss: 0.6933
Epoch [18/100], Step[242/526], Loss: 0.7131
Epoch [18/100], Step[243/526], Loss: 0.6601
Epoch [18/100], Step[244/526], Loss: 0.6472
Epoch [18/100], Step[245/526], Loss: 0.6443
Epoch [18/100], Step[246/526], Loss: 0.6689
Epoch [18/100], Step[247/526], Loss: 0.6239
Epoch [18/100], Step[248/526], Loss: 0.6504
Epoch [18/100], Step[249/526], Loss: 0.6618
Epoch [18/100], Step[250/526], Loss: 0.6776
Epoch [18/100], Step[251/526], Loss: 0.6938
Epoch [18/100], Step[252/526], Loss: 0.6976
Epoch [18/100], Step[253/526], Loss: 0.6330
Epoch [18/100], Step[254/526], Loss: 0.6690
Epoch [18/100], Step[255/526], Loss: 0.6071
Epoch [18/100], Step[256/526], Loss: 0.6815
Epoch [18/100], Step[257/526], Loss: 0.6650
Epoch [18/100], Step[258/526], Loss: 0.6471
Epoch [18/100], Step[259/526], Loss: 0.6822
Epoch [18/100], Step[260/526], Loss: 0.7224
Epoch [18/100], Step[261/526], Loss: 0.7421
Epoch [18/100], Step[262/526], Loss: 0.6773
Epoch [18/100], Step[263/526], Loss: 0.6694
Epoch [18/100], Step[264/526], Loss: 0.6524
Epoch [18/100], Step[265/526], Loss: 0.6391
Epoch [18/100], Step[266/526], Loss: 0.6195
Epoch [18/100], Step[267/526], Loss: 0.4996
Epoch [18/100], Step[268/526], Loss: 0.5737
Epoch [18/100], Step[269/526], Loss: 0.4880
Epoch [18/100], Step[270/526], Loss: 0.4345
Epoch [18/100], Step[271/526], Loss: 0.5409
Epoch [18/100], Step[272/526], Loss: 0.5516
Epoch [18/100], Step[273/526], Loss: 0.6244
Epoch [18/100], Step[274/526], Loss: 0.4654
Epoch [18/100], Step[275/526], Loss: 0.4456
Epoch [18/100], Step[276/526], Loss: 0.4851
Epoch [18/100], Step[277/526], Loss: 0.4445
Epoch [18/100], Step[278/526], Loss: 0.4696
Epoch [18/100], Step[279/526], Loss: 0.4157
Epoch [18/100], Step[280/526], Loss: 0.4545
Epoch [18/100], Step[281/526], Loss: 0.6122
Epoch [18/100], Step[282/526], Loss: 0.3849
Epoch [18/100], Step[283/526], Loss: 0.3662
Epoch [18/100], Step[284/526], Loss: 0.4042
Epoch [18/100], Step[285/526], Loss: 0.2914
Epoch [18/100], Step[286/526], Loss: 0.6783
Epoch [18/100], Step[287/526], Loss: 0.4829
Epoch [18/100], Step[288/526], Loss: 0.4408
Epoch [18/100], Step[289/526], Loss: 0.6025
Epoch [18/100], Step[290/526], Loss: 0.4272
Epoch [18/100], Step[291/526], Loss: 0.4865
Epoch [18/100], Step[292/526], Loss: 0.2554
Epoch [18/100], Step[293/526], Loss: 0.3142
Epoch [18/100], Step[294/526], Loss: 0.3314
Epoch [18/100], Step[295/526], Loss: 0.4121
Epoch [18/100], Step[296/526], Loss: 0.6038
Epoch [18/100], Step[297/526], Loss: 0.2738
Epoch [18/100], Step[298/526], Loss: 0.2956
Epoch [18/100], Step[299/526], Loss: 0.2679
Epoch [18/100], Step[300/526], Loss: 0.3316
Epoch [18/100], Step[301/526], Loss: 0.5876
Epoch [18/100], Step[302/526], Loss: 0.3056
Epoch [18/100], Step[303/526], Loss: 0.4889
Epoch [18/100], Step[304/526], Loss: 0.2662
Epoch [18/100], Step[305/526], Loss: 0.2740
Epoch [18/100], Step[306/526], Loss: 0.5764
Epoch [18/100], Step[307/526], Loss: 0.8800
Epoch [18/100], Step[308/526], Loss: 1.3072
Epoch [18/100], Step[309/526], Loss: 0.9119
Epoch [18/100], Step[310/526], Loss: 0.9761
Epoch [18/100], Step[311/526], Loss: 0.8243
Epoch [18/100], Step[312/526], Loss: 0.5020
Epoch [18/100], Step[313/526], Loss: 0.4797
Epoch [18/100], Step[314/526], Loss: 0.6563
Epoch [18/100], Step[315/526], Loss: 0.7038
Epoch [18/100], Step[316/526], Loss: 0.5095
Epoch [18/100], Step[317/526], Loss: 0.3124
Epoch [18/100], Step[318/526], Loss: 0.7359
Epoch [18/100], Step[319/526], Loss: 0.3594
Epoch [18/100], Step[320/526], Loss: 0.5656
Epoch [18/100], Step[321/526], Loss: 0.7521
Epoch [18/100], Step[322/526], Loss: 0.2727
Epoch [18/100], Step[323/526], Loss: 0.5987
Epoch [18/100], Step[324/526], Loss: 0.6731
Epoch [18/100], Step[325/526], Loss: 0.5689
Epoch [18/100], Step[326/526], Loss: 0.8025
Epoch [18/100], Step[327/526], Loss: 0.7301
Epoch [18/100], Step[328/526], Loss: 0.9053
Epoch [18/100], Step[329/526], Loss: 1.2244
Epoch [18/100], Step[330/526], Loss: 0.9698
Epoch [18/100], Step[331/526], Loss: 0.8327
Epoch [18/100], Step[332/526], Loss: 0.8790
Epoch [18/100], Step[333/526], Loss: 0.7780
Epoch [18/100], Step[334/526], Loss: 0.7922
Epoch [18/100], Step[335/526], Loss: 0.8451
Epoch [18/100], Step[336/526], Loss: 0.6929
Epoch [18/100], Step[337/526], Loss: 0.6066
Epoch [18/100], Step[338/526], Loss: 0.7134
Epoch [18/100], Step[339/526], Loss: 0.6574
Epoch [18/100], Step[340/526], Loss: 0.7352
Epoch [18/100], Step[341/526], Loss: 0.8027
Epoch [18/100], Step[342/526], Loss: 0.8005
Epoch [18/100], Step[343/526], Loss: 0.5566
Epoch [18/100], Step[344/526], Loss: 0.7428
Epoch [18/100], Step[345/526], Loss: 0.6559
Epoch [18/100], Step[346/526], Loss: 0.6854
Epoch [18/100], Step[347/526], Loss: 0.6990
Epoch [18/100], Step[348/526], Loss: 0.6466
Epoch [18/100], Step[349/526], Loss: 0.5841
Epoch [18/100], Step[350/526], Loss: 0.6823
Epoch [18/100], Step[351/526], Loss: 0.7221
Epoch [18/100], Step[352/526], Loss: 0.6168
Epoch [18/100], Step[353/526], Loss: 0.6952
Epoch [18/100], Step[354/526], Loss: 0.6724
Epoch [18/100], Step[355/526], Loss: 0.6773
Epoch [18/100], Step[356/526], Loss: 0.7038
Epoch [18/100], Step[357/526], Loss: 0.6637
Epoch [18/100], Step[358/526], Loss: 0.6978
Epoch [18/100], Step[359/526], Loss: 0.6632
Epoch [18/100], Step[360/526], Loss: 0.6731
Epoch [18/100], Step[361/526], Loss: 0.7440
Epoch [18/100], Step[362/526], Loss: 0.7059
Epoch [18/100], Step[363/526], Loss: 0.6892
Epoch [18/100], Step[364/526], Loss: 0.7237
Epoch [18/100], Step[365/526], Loss: 0.7224
Epoch [18/100], Step[366/526], Loss: 0.6851
Epoch [18/100], Step[367/526], Loss: 0.6860
Epoch [18/100], Step[368/526], Loss: 0.6536
Epoch [18/100], Step[369/526], Loss: 0.6626
Epoch [18/100], Step[370/526], Loss: 0.6335
Epoch [18/100], Step[371/526], Loss: 0.7394
Epoch [18/100], Step[372/526], Loss: 0.6507
Epoch [18/100], Step[373/526], Loss: 0.6816
Epoch [18/100], Step[374/526], Loss: 0.7011
Epoch [18/100], Step[375/526], Loss: 0.6555
Epoch [18/100], Step[376/526], Loss: 0.6473
Epoch [18/100], Step[377/526], Loss: 0.6804
Epoch [18/100], Step[378/526], Loss: 0.6976
Epoch [18/100], Step[379/526], Loss: 0.7295
Epoch [18/100], Step[380/526], Loss: 0.6114
Epoch [18/100], Step[381/526], Loss: 0.6010
Epoch [18/100], Step[382/526], Loss: 0.6730
Epoch [18/100], Step[383/526], Loss: 0.6888
Epoch [18/100], Step[384/526], Loss: 0.6415
Epoch [18/100], Step[385/526], Loss: 0.6334
Epoch [18/100], Step[386/526], Loss: 0.6634
Epoch [18/100], Step[387/526], Loss: 0.6591
Epoch [18/100], Step[388/526], Loss: 0.5974
Epoch [18/100], Step[389/526], Loss: 0.7171
Epoch [18/100], Step[390/526], Loss: 0.6042
Epoch [18/100], Step[391/526], Loss: 0.6500
Epoch [18/100], Step[392/526], Loss: 0.6975
Epoch [18/100], Step[393/526], Loss: 0.5965
Epoch [18/100], Step[394/526], Loss: 0.5152
Epoch [18/100], Step[395/526], Loss: 0.6343
Epoch [18/100], Step[396/526], Loss: 0.6319
Epoch [18/100], Step[397/526], Loss: 0.4837
Epoch [18/100], Step[398/526], Loss: 0.5989
Epoch [18/100], Step[399/526], Loss: 0.6562
Epoch [18/100], Step[400/526], Loss: 0.4758
Epoch [18/100], Step[401/526], Loss: 0.5792
Epoch [18/100], Step[402/526], Loss: 0.6239
Epoch [18/100], Step[403/526], Loss: 0.7098
Epoch [18/100], Step[404/526], Loss: 0.4854
Epoch [18/100], Step[405/526], Loss: 0.5088
Epoch [18/100], Step[406/526], Loss: 0.6433
Epoch [18/100], Step[407/526], Loss: 0.7343
Epoch [18/100], Step[408/526], Loss: 0.6481
Epoch [18/100], Step[409/526], Loss: 0.4494
Epoch [18/100], Step[410/526], Loss: 0.4772
Epoch [18/100], Step[411/526], Loss: 0.5321
Epoch [18/100], Step[412/526], Loss: 0.5841
Epoch [18/100], Step[413/526], Loss: 0.5889
Epoch [18/100], Step[414/526], Loss: 0.6285
Epoch [18/100], Step[415/526], Loss: 0.6151
Epoch [18/100], Step[416/526], Loss: 0.5348
Epoch [18/100], Step[417/526], Loss: 0.4667
Epoch [18/100], Step[418/526], Loss: 0.7564
Epoch [18/100], Step[419/526], Loss: 0.6969
Epoch [18/100], Step[420/526], Loss: 0.6828
Epoch [18/100], Step[421/526], Loss: 0.6268
Epoch [18/100], Step[422/526], Loss: 0.7918
Epoch [18/100], Step[423/526], Loss: 0.7087
Epoch [18/100], Step[424/526], Loss: 0.7411
Epoch [18/100], Step[425/526], Loss: 0.7139
Epoch [18/100], Step[426/526], Loss: 0.7677
Epoch [18/100], Step[427/526], Loss: 0.6912
Epoch [18/100], Step[428/526], Loss: 0.7088
Epoch [18/100], Step[429/526], Loss: 0.7385
Epoch [18/100], Step[430/526], Loss: 0.8063
Epoch [18/100], Step[431/526], Loss: 0.7178
Epoch [18/100], Step[432/526], Loss: 0.7354
Epoch [18/100], Step[433/526], Loss: 0.6876
Epoch [18/100], Step[434/526], Loss: 0.6209
Epoch [18/100], Step[435/526], Loss: 0.7917
Epoch [18/100], Step[436/526], Loss: 0.8027
Epoch [18/100], Step[437/526], Loss: 0.5284
Epoch [18/100], Step[438/526], Loss: 0.3680
Epoch [18/100], Step[439/526], Loss: 0.7466
Epoch [18/100], Step[440/526], Loss: 0.6883
Epoch [18/100], Step[441/526], Loss: 0.7042
Epoch [18/100], Step[442/526], Loss: 0.6389
Epoch [18/100], Step[443/526], Loss: 0.6699
Epoch [18/100], Step[444/526], Loss: 0.7616
Epoch [18/100], Step[445/526], Loss: 0.6958
Epoch [18/100], Step[446/526], Loss: 0.7234
Epoch [18/100], Step[447/526], Loss: 0.7193
Epoch [18/100], Step[448/526], Loss: 0.7486
Epoch [18/100], Step[449/526], Loss: 0.7063
Epoch [18/100], Step[450/526], Loss: 0.6018
Epoch [18/100], Step[451/526], Loss: 0.6376
Epoch [18/100], Step[452/526], Loss: 0.7341
Epoch [18/100], Step[453/526], Loss: 0.7305
Epoch [18/100], Step[454/526], Loss: 0.8063
Epoch [18/100], Step[455/526], Loss: 0.6632
Epoch [18/100], Step[456/526], Loss: 0.6420
Epoch [18/100], Step[457/526], Loss: 0.6952
Epoch [18/100], Step[458/526], Loss: 0.6658
Epoch [18/100], Step[459/526], Loss: 0.6691
Epoch [18/100], Step[460/526], Loss: 0.6522
Epoch [18/100], Step[461/526], Loss: 0.6266
Epoch [18/100], Step[462/526], Loss: 0.6713
Epoch [18/100], Step[463/526], Loss: 0.6535
Epoch [18/100], Step[464/526], Loss: 0.6576
Epoch [18/100], Step[465/526], Loss: 0.6646
Epoch [18/100], Step[466/526], Loss: 0.6630
Epoch [18/100], Step[467/526], Loss: 0.6481
Epoch [18/100], Step[468/526], Loss: 0.6400
Epoch [18/100], Step[469/526], Loss: 0.7962
Epoch [18/100], Step[470/526], Loss: 0.6630
Epoch [18/100], Step[471/526], Loss: 0.7007
Epoch [18/100], Step[472/526], Loss: 0.6765
Epoch [18/100], Step[473/526], Loss: 0.6780
Epoch [18/100], Step[474/526], Loss: 0.6712
Epoch [18/100], Step[475/526], Loss: 0.7983
Epoch [18/100], Step[476/526], Loss: 0.7543
Epoch [18/100], Step[477/526], Loss: 0.7016
Epoch [18/100], Step[478/526], Loss: 0.6992
Epoch [18/100], Step[479/526], Loss: 0.6672
Epoch [18/100], Step[480/526], Loss: 0.7384
Epoch [18/100], Step[481/526], Loss: 0.7079
Epoch [18/100], Step[482/526], Loss: 0.6335
Epoch [18/100], Step[483/526], Loss: 0.5664
Epoch [18/100], Step[484/526], Loss: 0.6909
Epoch [18/100], Step[485/526], Loss: 0.8026
Epoch [18/100], Step[486/526], Loss: 0.7119
Epoch [18/100], Step[487/526], Loss: 0.7463
Epoch [18/100], Step[488/526], Loss: 0.6911
Epoch [18/100], Step[489/526], Loss: 0.6385
Epoch [18/100], Step[490/526], Loss: 0.6191
Epoch [18/100], Step[491/526], Loss: 0.7023
Epoch [18/100], Step[492/526], Loss: 0.6638
Epoch [18/100], Step[493/526], Loss: 0.6582
Epoch [18/100], Step[494/526], Loss: 0.6530
Epoch [18/100], Step[495/526], Loss: 0.6865
Epoch [18/100], Step[496/526], Loss: 0.6729
Epoch [18/100], Step[497/526], Loss: 0.6430
Epoch [18/100], Step[498/526], Loss: 0.6797
Epoch [18/100], Step[499/526], Loss: 0.6786
Epoch [18/100], Step[500/526], Loss: 0.6787
Epoch [18/100], Step[501/526], Loss: 0.6584
Epoch [18/100], Step[502/526], Loss: 0.6956
Epoch [18/100], Step[503/526], Loss: 0.7073
Epoch [18/100], Step[504/526], Loss: 0.6930
Epoch [18/100], Step[505/526], Loss: 0.7066
Epoch [18/100], Step[506/526], Loss: 0.6861
Epoch [18/100], Step[507/526], Loss: 0.6758
Epoch [18/100], Step[508/526], Loss: 0.6970
Epoch [18/100], Step[509/526], Loss: 0.6613
Epoch [18/100], Step[510/526], Loss: 0.6995
Epoch [18/100], Step[511/526], Loss: 0.6442
Epoch [18/100], Step[512/526], Loss: 0.6761
Epoch [18/100], Step[513/526], Loss: 0.6520
Epoch [18/100], Step[514/526], Loss: 0.6524
Epoch [18/100], Step[515/526], Loss: 0.5908
Epoch [18/100], Step[516/526], Loss: 0.7428
Epoch [18/100], Step[517/526], Loss: 0.6929
Epoch [18/100], Step[518/526], Loss: 0.7318
Epoch [18/100], Step[519/526], Loss: 0.7137
Epoch [18/100], Step[520/526], Loss: 0.6720
Epoch [18/100], Step[521/526], Loss: 0.6604
Epoch [18/100], Step[522/526], Loss: 0.6210
Epoch [18/100], Step[523/526], Loss: 0.6473
Epoch [18/100], Step[524/526], Loss: 0.6453
Epoch [18/100], Step[525/526], Loss: 0.7429
Epoch [18/100], Step[526/526], Loss: 0.6928
Epoch [19/100], Step[1/526], Loss: 0.6587
Epoch [19/100], Step[2/526], Loss: 0.6455
Epoch [19/100], Step[3/526], Loss: 0.6714
Epoch [19/100], Step[4/526], Loss: 0.6360
Epoch [19/100], Step[5/526], Loss: 0.7313
Epoch [19/100], Step[6/526], Loss: 0.7314
Epoch [19/100], Step[7/526], Loss: 0.7006
Epoch [19/100], Step[8/526], Loss: 0.6853
Epoch [19/100], Step[9/526], Loss: 0.7086
Epoch [19/100], Step[10/526], Loss: 0.6844
Epoch [19/100], Step[11/526], Loss: 0.6626
Epoch [19/100], Step[12/526], Loss: 0.7192
Epoch [19/100], Step[13/526], Loss: 0.6378
Epoch [19/100], Step[14/526], Loss: 0.6649
Epoch [19/100], Step[15/526], Loss: 0.6890
Epoch [19/100], Step[16/526], Loss: 0.6988
Epoch [19/100], Step[17/526], Loss: 0.6980
Epoch [19/100], Step[18/526], Loss: 0.6971
Epoch [19/100], Step[19/526], Loss: 0.6719
Epoch [19/100], Step[20/526], Loss: 0.7156
Epoch [19/100], Step[21/526], Loss: 0.7379
Epoch [19/100], Step[22/526], Loss: 0.7238
Epoch [19/100], Step[23/526], Loss: 0.7365
Epoch [19/100], Step[24/526], Loss: 0.7165
Epoch [19/100], Step[25/526], Loss: 0.6919
Epoch [19/100], Step[26/526], Loss: 0.6408
Epoch [19/100], Step[27/526], Loss: 0.6917
Epoch [19/100], Step[28/526], Loss: 0.6938
Epoch [19/100], Step[29/526], Loss: 0.6606
Epoch [19/100], Step[30/526], Loss: 0.6917
Epoch [19/100], Step[31/526], Loss: 0.7064
Epoch [19/100], Step[32/526], Loss: 0.6732
Epoch [19/100], Step[33/526], Loss: 0.7132
Epoch [19/100], Step[34/526], Loss: 0.6878
Epoch [19/100], Step[35/526], Loss: 0.7079
Epoch [19/100], Step[36/526], Loss: 0.6971
Epoch [19/100], Step[37/526], Loss: 0.6924
Epoch [19/100], Step[38/526], Loss: 0.6950
Epoch [19/100], Step[39/526], Loss: 0.7075
Epoch [19/100], Step[40/526], Loss: 0.7230
Epoch [19/100], Step[41/526], Loss: 0.6545
Epoch [19/100], Step[42/526], Loss: 0.7245
Epoch [19/100], Step[43/526], Loss: 0.7171
Epoch [19/100], Step[44/526], Loss: 0.6866
Epoch [19/100], Step[45/526], Loss: 0.6835
Epoch [19/100], Step[46/526], Loss: 0.6862
Epoch [19/100], Step[47/526], Loss: 0.7088
Epoch [19/100], Step[48/526], Loss: 0.7190
Epoch [19/100], Step[49/526], Loss: 0.7036
Epoch [19/100], Step[50/526], Loss: 0.7159
Epoch [19/100], Step[51/526], Loss: 0.6986
Epoch [19/100], Step[52/526], Loss: 0.6832
Epoch [19/100], Step[53/526], Loss: 0.7206
Epoch [19/100], Step[54/526], Loss: 0.6999
Epoch [19/100], Step[55/526], Loss: 0.6929
Epoch [19/100], Step[56/526], Loss: 0.6963
Epoch [19/100], Step[57/526], Loss: 0.6833
Epoch [19/100], Step[58/526], Loss: 0.6747
Epoch [19/100], Step[59/526], Loss: 0.6695
Epoch [19/100], Step[60/526], Loss: 0.6717
Epoch [19/100], Step[61/526], Loss: 0.6469
Epoch [19/100], Step[62/526], Loss: 0.6929
Epoch [19/100], Step[63/526], Loss: 0.6842
Epoch [19/100], Step[64/526], Loss: 0.6782
Epoch [19/100], Step[65/526], Loss: 0.7172
Epoch [19/100], Step[66/526], Loss: 0.6824
Epoch [19/100], Step[67/526], Loss: 0.6691
Epoch [19/100], Step[68/526], Loss: 0.6545
Epoch [19/100], Step[69/526], Loss: 0.7009
Epoch [19/100], Step[70/526], Loss: 0.6847
Epoch [19/100], Step[71/526], Loss: 0.6627
Epoch [19/100], Step[72/526], Loss: 0.6736
Epoch [19/100], Step[73/526], Loss: 0.7067
Epoch [19/100], Step[74/526], Loss: 0.6629
Epoch [19/100], Step[75/526], Loss: 0.7093
Epoch [19/100], Step[76/526], Loss: 0.6968
Epoch [19/100], Step[77/526], Loss: 0.6849
Epoch [19/100], Step[78/526], Loss: 0.7061
Epoch [19/100], Step[79/526], Loss: 0.6962
Epoch [19/100], Step[80/526], Loss: 0.6978
Epoch [19/100], Step[81/526], Loss: 0.7038
Epoch [19/100], Step[82/526], Loss: 0.7331
Epoch [19/100], Step[83/526], Loss: 0.7113
Epoch [19/100], Step[84/526], Loss: 0.6963
Epoch [19/100], Step[85/526], Loss: 0.6623
Epoch [19/100], Step[86/526], Loss: 0.7070
Epoch [19/100], Step[87/526], Loss: 0.6782
Epoch [19/100], Step[88/526], Loss: 0.6857
Epoch [19/100], Step[89/526], Loss: 0.7153
Epoch [19/100], Step[90/526], Loss: 0.6889
Epoch [19/100], Step[91/526], Loss: 0.6755
Epoch [19/100], Step[92/526], Loss: 0.6736
Epoch [19/100], Step[93/526], Loss: 0.6793
Epoch [19/100], Step[94/526], Loss: 0.8024
Epoch [19/100], Step[95/526], Loss: 0.7145
Epoch [19/100], Step[96/526], Loss: 0.6342
Epoch [19/100], Step[97/526], Loss: 0.6066
Epoch [19/100], Step[98/526], Loss: 0.7002
Epoch [19/100], Step[99/526], Loss: 0.6822
Epoch [19/100], Step[100/526], Loss: 0.6797
Epoch [19/100], Step[101/526], Loss: 0.6580
Epoch [19/100], Step[102/526], Loss: 0.6277
Epoch [19/100], Step[103/526], Loss: 0.6622
Epoch [19/100], Step[104/526], Loss: 0.6412
Epoch [19/100], Step[105/526], Loss: 0.6477
Epoch [19/100], Step[106/526], Loss: 0.6864
Epoch [19/100], Step[107/526], Loss: 0.6489
Epoch [19/100], Step[108/526], Loss: 0.5929
Epoch [19/100], Step[109/526], Loss: 0.6828
Epoch [19/100], Step[110/526], Loss: 0.6915
Epoch [19/100], Step[111/526], Loss: 0.5966
Epoch [19/100], Step[112/526], Loss: 0.7347
Epoch [19/100], Step[113/526], Loss: 0.6127
Epoch [19/100], Step[114/526], Loss: 0.6618
Epoch [19/100], Step[115/526], Loss: 0.6157
Epoch [19/100], Step[116/526], Loss: 0.6246
Epoch [19/100], Step[117/526], Loss: 0.6421
Epoch [19/100], Step[118/526], Loss: 0.7424
Epoch [19/100], Step[119/526], Loss: 0.6746
Epoch [19/100], Step[120/526], Loss: 0.6716
Epoch [19/100], Step[121/526], Loss: 0.6984
Epoch [19/100], Step[122/526], Loss: 0.6406
Epoch [19/100], Step[123/526], Loss: 0.6524
Epoch [19/100], Step[124/526], Loss: 0.6760
Epoch [19/100], Step[125/526], Loss: 0.6449
Epoch [19/100], Step[126/526], Loss: 0.7105
Epoch [19/100], Step[127/526], Loss: 0.6697
Epoch [19/100], Step[128/526], Loss: 0.6457
Epoch [19/100], Step[129/526], Loss: 0.5958
Epoch [19/100], Step[130/526], Loss: 0.6120
Epoch [19/100], Step[131/526], Loss: 0.6794
Epoch [19/100], Step[132/526], Loss: 0.7291
Epoch [19/100], Step[133/526], Loss: 0.6779
Epoch [19/100], Step[134/526], Loss: 0.6324
Epoch [19/100], Step[135/526], Loss: 0.6501
Epoch [19/100], Step[136/526], Loss: 0.5758
Epoch [19/100], Step[137/526], Loss: 0.6271
Epoch [19/100], Step[138/526], Loss: 0.6565
Epoch [19/100], Step[139/526], Loss: 0.7131
Epoch [19/100], Step[140/526], Loss: 0.6011
Epoch [19/100], Step[141/526], Loss: 0.6850
Epoch [19/100], Step[142/526], Loss: 0.6667
Epoch [19/100], Step[143/526], Loss: 0.6896
Epoch [19/100], Step[144/526], Loss: 0.7832
Epoch [19/100], Step[145/526], Loss: 0.5688
Epoch [19/100], Step[146/526], Loss: 0.5164
Epoch [19/100], Step[147/526], Loss: 0.4776
Epoch [19/100], Step[148/526], Loss: 0.5862
Epoch [19/100], Step[149/526], Loss: 0.5095
Epoch [19/100], Step[150/526], Loss: 0.6139
Epoch [19/100], Step[151/526], Loss: 0.5711
Epoch [19/100], Step[152/526], Loss: 0.6285
Epoch [19/100], Step[153/526], Loss: 0.6347
Epoch [19/100], Step[154/526], Loss: 0.7359
Epoch [19/100], Step[155/526], Loss: 0.7028
Epoch [19/100], Step[156/526], Loss: 0.5165
Epoch [19/100], Step[157/526], Loss: 0.2816
Epoch [19/100], Step[158/526], Loss: 0.5765
Epoch [19/100], Step[159/526], Loss: 0.6510
Epoch [19/100], Step[160/526], Loss: 0.5841
Epoch [19/100], Step[161/526], Loss: 1.2354
Epoch [19/100], Step[162/526], Loss: 0.7011
Epoch [19/100], Step[163/526], Loss: 0.7275
Epoch [19/100], Step[164/526], Loss: 0.6243
Epoch [19/100], Step[165/526], Loss: 0.7168
Epoch [19/100], Step[166/526], Loss: 0.4919
Epoch [19/100], Step[167/526], Loss: 0.5443
Epoch [19/100], Step[168/526], Loss: 0.7067
Epoch [19/100], Step[169/526], Loss: 0.7684
Epoch [19/100], Step[170/526], Loss: 0.7035
Epoch [19/100], Step[171/526], Loss: 0.7335
Epoch [19/100], Step[172/526], Loss: 0.7080
Epoch [19/100], Step[173/526], Loss: 0.8119
Epoch [19/100], Step[174/526], Loss: 0.6370
Epoch [19/100], Step[175/526], Loss: 0.6561
Epoch [19/100], Step[176/526], Loss: 0.6370
Epoch [19/100], Step[177/526], Loss: 0.6631
Epoch [19/100], Step[178/526], Loss: 0.6924
Epoch [19/100], Step[179/526], Loss: 0.6420
Epoch [19/100], Step[180/526], Loss: 0.6852
Epoch [19/100], Step[181/526], Loss: 0.6372
Epoch [19/100], Step[182/526], Loss: 0.6823
Epoch [19/100], Step[183/526], Loss: 0.5284
Epoch [19/100], Step[184/526], Loss: 0.5929
Epoch [19/100], Step[185/526], Loss: 0.5949
Epoch [19/100], Step[186/526], Loss: 0.6500
Epoch [19/100], Step[187/526], Loss: 0.7271
Epoch [19/100], Step[188/526], Loss: 0.6991
Epoch [19/100], Step[189/526], Loss: 0.6878
Epoch [19/100], Step[190/526], Loss: 0.6321
Epoch [19/100], Step[191/526], Loss: 0.7290
Epoch [19/100], Step[192/526], Loss: 0.7998
Epoch [19/100], Step[193/526], Loss: 0.6601
Epoch [19/100], Step[194/526], Loss: 0.6227
Epoch [19/100], Step[195/526], Loss: 0.6529
Epoch [19/100], Step[196/526], Loss: 0.7243
Epoch [19/100], Step[197/526], Loss: 0.7028
Epoch [19/100], Step[198/526], Loss: 0.6268
Epoch [19/100], Step[199/526], Loss: 0.7293
Epoch [19/100], Step[200/526], Loss: 0.6597
Epoch [19/100], Step[201/526], Loss: 0.6800
Epoch [19/100], Step[202/526], Loss: 0.7361
Epoch [19/100], Step[203/526], Loss: 0.7106
Epoch [19/100], Step[204/526], Loss: 0.7292
Epoch [19/100], Step[205/526], Loss: 0.7092
Epoch [19/100], Step[206/526], Loss: 0.6797
Epoch [19/100], Step[207/526], Loss: 0.7080
Epoch [19/100], Step[208/526], Loss: 0.6790
Epoch [19/100], Step[209/526], Loss: 0.6807
Epoch [19/100], Step[210/526], Loss: 0.7915
Epoch [19/100], Step[211/526], Loss: 0.6465
Epoch [19/100], Step[212/526], Loss: 0.6866
Epoch [19/100], Step[213/526], Loss: 0.7109
Epoch [19/100], Step[214/526], Loss: 0.7535
Epoch [19/100], Step[215/526], Loss: 0.6938
Epoch [19/100], Step[216/526], Loss: 0.6818
Epoch [19/100], Step[217/526], Loss: 0.6763
Epoch [19/100], Step[218/526], Loss: 0.6978
Epoch [19/100], Step[219/526], Loss: 0.7028
Epoch [19/100], Step[220/526], Loss: 0.7351
Epoch [19/100], Step[221/526], Loss: 0.6982
Epoch [19/100], Step[222/526], Loss: 0.7544
Epoch [19/100], Step[223/526], Loss: 0.6754
Epoch [19/100], Step[224/526], Loss: 0.6811
Epoch [19/100], Step[225/526], Loss: 0.7308
Epoch [19/100], Step[226/526], Loss: 0.6807
Epoch [19/100], Step[227/526], Loss: 0.6746
Epoch [19/100], Step[228/526], Loss: 0.6654
Epoch [19/100], Step[229/526], Loss: 0.6831
Epoch [19/100], Step[230/526], Loss: 0.6540
Epoch [19/100], Step[231/526], Loss: 0.6667
Epoch [19/100], Step[232/526], Loss: 0.7160
Epoch [19/100], Step[233/526], Loss: 0.6921
Epoch [19/100], Step[234/526], Loss: 0.6869
Epoch [19/100], Step[235/526], Loss: 0.7028
Epoch [19/100], Step[236/526], Loss: 0.6859
Epoch [19/100], Step[237/526], Loss: 0.7256
Epoch [19/100], Step[238/526], Loss: 0.6928
Epoch [19/100], Step[239/526], Loss: 0.6713
Epoch [19/100], Step[240/526], Loss: 0.7229
Epoch [19/100], Step[241/526], Loss: 0.6941
Epoch [19/100], Step[242/526], Loss: 0.7135
Epoch [19/100], Step[243/526], Loss: 0.6581
Epoch [19/100], Step[244/526], Loss: 0.6472
Epoch [19/100], Step[245/526], Loss: 0.6441
Epoch [19/100], Step[246/526], Loss: 0.6695
Epoch [19/100], Step[247/526], Loss: 0.6231
Epoch [19/100], Step[248/526], Loss: 0.6495
Epoch [19/100], Step[249/526], Loss: 0.6610
Epoch [19/100], Step[250/526], Loss: 0.6772
Epoch [19/100], Step[251/526], Loss: 0.6943
Epoch [19/100], Step[252/526], Loss: 0.6970
Epoch [19/100], Step[253/526], Loss: 0.6332
Epoch [19/100], Step[254/526], Loss: 0.6690
Epoch [19/100], Step[255/526], Loss: 0.6061
Epoch [19/100], Step[256/526], Loss: 0.6892
Epoch [19/100], Step[257/526], Loss: 0.6609
Epoch [19/100], Step[258/526], Loss: 0.6448
Epoch [19/100], Step[259/526], Loss: 0.6843
Epoch [19/100], Step[260/526], Loss: 0.7244
Epoch [19/100], Step[261/526], Loss: 0.7425
Epoch [19/100], Step[262/526], Loss: 0.6771
Epoch [19/100], Step[263/526], Loss: 0.6678
Epoch [19/100], Step[264/526], Loss: 0.6470
Epoch [19/100], Step[265/526], Loss: 0.6366
Epoch [19/100], Step[266/526], Loss: 0.6186
Epoch [19/100], Step[267/526], Loss: 0.4996
Epoch [19/100], Step[268/526], Loss: 0.5702
Epoch [19/100], Step[269/526], Loss: 0.4884
Epoch [19/100], Step[270/526], Loss: 0.4298
Epoch [19/100], Step[271/526], Loss: 0.5378
Epoch [19/100], Step[272/526], Loss: 0.5498
Epoch [19/100], Step[273/526], Loss: 0.6251
Epoch [19/100], Step[274/526], Loss: 0.4625
Epoch [19/100], Step[275/526], Loss: 0.4430
Epoch [19/100], Step[276/526], Loss: 0.4852
Epoch [19/100], Step[277/526], Loss: 0.4467
Epoch [19/100], Step[278/526], Loss: 0.4692
Epoch [19/100], Step[279/526], Loss: 0.4164
Epoch [19/100], Step[280/526], Loss: 0.4548
Epoch [19/100], Step[281/526], Loss: 0.6136
Epoch [19/100], Step[282/526], Loss: 0.3825
Epoch [19/100], Step[283/526], Loss: 0.3661
Epoch [19/100], Step[284/526], Loss: 0.4048
Epoch [19/100], Step[285/526], Loss: 0.2908
Epoch [19/100], Step[286/526], Loss: 0.6806
Epoch [19/100], Step[287/526], Loss: 0.4826
Epoch [19/100], Step[288/526], Loss: 0.4402
Epoch [19/100], Step[289/526], Loss: 0.6038
Epoch [19/100], Step[290/526], Loss: 0.4279
Epoch [19/100], Step[291/526], Loss: 0.4876
Epoch [19/100], Step[292/526], Loss: 0.2573
Epoch [19/100], Step[293/526], Loss: 0.3153
Epoch [19/100], Step[294/526], Loss: 0.3306
Epoch [19/100], Step[295/526], Loss: 0.4143
Epoch [19/100], Step[296/526], Loss: 0.6021
Epoch [19/100], Step[297/526], Loss: 0.2793
Epoch [19/100], Step[298/526], Loss: 0.2970
Epoch [19/100], Step[299/526], Loss: 0.2684
Epoch [19/100], Step[300/526], Loss: 0.3312
Epoch [19/100], Step[301/526], Loss: 0.5894
Epoch [19/100], Step[302/526], Loss: 0.3070
Epoch [19/100], Step[303/526], Loss: 0.4939
Epoch [19/100], Step[304/526], Loss: 0.2674
Epoch [19/100], Step[305/526], Loss: 0.2730
Epoch [19/100], Step[306/526], Loss: 0.5759
Epoch [19/100], Step[307/526], Loss: 0.8769
Epoch [19/100], Step[308/526], Loss: 1.2996
Epoch [19/100], Step[309/526], Loss: 0.9088
Epoch [19/100], Step[310/526], Loss: 0.9712
Epoch [19/100], Step[311/526], Loss: 0.8234
Epoch [19/100], Step[312/526], Loss: 0.4994
Epoch [19/100], Step[313/526], Loss: 0.4808
Epoch [19/100], Step[314/526], Loss: 0.6606
Epoch [19/100], Step[315/526], Loss: 0.7061
Epoch [19/100], Step[316/526], Loss: 0.5078
Epoch [19/100], Step[317/526], Loss: 0.3115
Epoch [19/100], Step[318/526], Loss: 0.7384
Epoch [19/100], Step[319/526], Loss: 0.3554
Epoch [19/100], Step[320/526], Loss: 0.5679
Epoch [19/100], Step[321/526], Loss: 0.7463
Epoch [19/100], Step[322/526], Loss: 0.2716
Epoch [19/100], Step[323/526], Loss: 0.5999
Epoch [19/100], Step[324/526], Loss: 0.6774
Epoch [19/100], Step[325/526], Loss: 0.5705
Epoch [19/100], Step[326/526], Loss: 0.8096
Epoch [19/100], Step[327/526], Loss: 0.7324
Epoch [19/100], Step[328/526], Loss: 0.9064
Epoch [19/100], Step[329/526], Loss: 1.2388
Epoch [19/100], Step[330/526], Loss: 0.9854
Epoch [19/100], Step[331/526], Loss: 0.8315
Epoch [19/100], Step[332/526], Loss: 0.9030
Epoch [19/100], Step[333/526], Loss: 0.7774
Epoch [19/100], Step[334/526], Loss: 0.8058
Epoch [19/100], Step[335/526], Loss: 0.8462
Epoch [19/100], Step[336/526], Loss: 0.6982
Epoch [19/100], Step[337/526], Loss: 0.6091
Epoch [19/100], Step[338/526], Loss: 0.7080
Epoch [19/100], Step[339/526], Loss: 0.6575
Epoch [19/100], Step[340/526], Loss: 0.7356
Epoch [19/100], Step[341/526], Loss: 0.8037
Epoch [19/100], Step[342/526], Loss: 0.8020
Epoch [19/100], Step[343/526], Loss: 0.5528
Epoch [19/100], Step[344/526], Loss: 0.7427
Epoch [19/100], Step[345/526], Loss: 0.6555
Epoch [19/100], Step[346/526], Loss: 0.6793
Epoch [19/100], Step[347/526], Loss: 0.6995
Epoch [19/100], Step[348/526], Loss: 0.6457
Epoch [19/100], Step[349/526], Loss: 0.5776
Epoch [19/100], Step[350/526], Loss: 0.6816
Epoch [19/100], Step[351/526], Loss: 0.7235
Epoch [19/100], Step[352/526], Loss: 0.6130
Epoch [19/100], Step[353/526], Loss: 0.6960
Epoch [19/100], Step[354/526], Loss: 0.6707
Epoch [19/100], Step[355/526], Loss: 0.6777
Epoch [19/100], Step[356/526], Loss: 0.7066
Epoch [19/100], Step[357/526], Loss: 0.6613
Epoch [19/100], Step[358/526], Loss: 0.6963
Epoch [19/100], Step[359/526], Loss: 0.6612
Epoch [19/100], Step[360/526], Loss: 0.6724
Epoch [19/100], Step[361/526], Loss: 0.7441
Epoch [19/100], Step[362/526], Loss: 0.7065
Epoch [19/100], Step[363/526], Loss: 0.6893
Epoch [19/100], Step[364/526], Loss: 0.7217
Epoch [19/100], Step[365/526], Loss: 0.7203
Epoch [19/100], Step[366/526], Loss: 0.6855
Epoch [19/100], Step[367/526], Loss: 0.6865
Epoch [19/100], Step[368/526], Loss: 0.6521
Epoch [19/100], Step[369/526], Loss: 0.6618
Epoch [19/100], Step[370/526], Loss: 0.6231
Epoch [19/100], Step[371/526], Loss: 0.7394
Epoch [19/100], Step[372/526], Loss: 0.6471
Epoch [19/100], Step[373/526], Loss: 0.6796
Epoch [19/100], Step[374/526], Loss: 0.6993
Epoch [19/100], Step[375/526], Loss: 0.6527
Epoch [19/100], Step[376/526], Loss: 0.6426
Epoch [19/100], Step[377/526], Loss: 0.6737
Epoch [19/100], Step[378/526], Loss: 0.6968
Epoch [19/100], Step[379/526], Loss: 0.7300
Epoch [19/100], Step[380/526], Loss: 0.6054
Epoch [19/100], Step[381/526], Loss: 0.5866
Epoch [19/100], Step[382/526], Loss: 0.6592
Epoch [19/100], Step[383/526], Loss: 0.7052
Epoch [19/100], Step[384/526], Loss: 0.6415
Epoch [19/100], Step[385/526], Loss: 0.6249
Epoch [19/100], Step[386/526], Loss: 0.6041
Epoch [19/100], Step[387/526], Loss: 0.6216
Epoch [19/100], Step[388/526], Loss: 0.5416
Epoch [19/100], Step[389/526], Loss: 0.7273
Epoch [19/100], Step[390/526], Loss: 0.5318
Epoch [19/100], Step[391/526], Loss: 0.6214
Epoch [19/100], Step[392/526], Loss: 0.7391
Epoch [19/100], Step[393/526], Loss: 0.5737
Epoch [19/100], Step[394/526], Loss: 0.4737
Epoch [19/100], Step[395/526], Loss: 0.6610
Epoch [19/100], Step[396/526], Loss: 0.5689
Epoch [19/100], Step[397/526], Loss: 0.4495
Epoch [19/100], Step[398/526], Loss: 0.5833
Epoch [19/100], Step[399/526], Loss: 0.6680
Epoch [19/100], Step[400/526], Loss: 0.4120
Epoch [19/100], Step[401/526], Loss: 0.5295
Epoch [19/100], Step[402/526], Loss: 0.5391
Epoch [19/100], Step[403/526], Loss: 0.7213
Epoch [19/100], Step[404/526], Loss: 0.4458
Epoch [19/100], Step[405/526], Loss: 0.4650
Epoch [19/100], Step[406/526], Loss: 0.7349
Epoch [19/100], Step[407/526], Loss: 0.7944
Epoch [19/100], Step[408/526], Loss: 0.6895
Epoch [19/100], Step[409/526], Loss: 0.4202
Epoch [19/100], Step[410/526], Loss: 0.4104
Epoch [19/100], Step[411/526], Loss: 0.5130
Epoch [19/100], Step[412/526], Loss: 0.4967
Epoch [19/100], Step[413/526], Loss: 0.5343
Epoch [19/100], Step[414/526], Loss: 0.6134
Epoch [19/100], Step[415/526], Loss: 0.6883
Epoch [19/100], Step[416/526], Loss: 0.5621
Epoch [19/100], Step[417/526], Loss: 0.4643
Epoch [19/100], Step[418/526], Loss: 0.7947
Epoch [19/100], Step[419/526], Loss: 0.6757
Epoch [19/100], Step[420/526], Loss: 0.6764
Epoch [19/100], Step[421/526], Loss: 0.5894
Epoch [19/100], Step[422/526], Loss: 0.8381
Epoch [19/100], Step[423/526], Loss: 0.7393
Epoch [19/100], Step[424/526], Loss: 0.7422
Epoch [19/100], Step[425/526], Loss: 0.7219
Epoch [19/100], Step[426/526], Loss: 0.7963
Epoch [19/100], Step[427/526], Loss: 0.7098
Epoch [19/100], Step[428/526], Loss: 0.7305
Epoch [19/100], Step[429/526], Loss: 0.7535
Epoch [19/100], Step[430/526], Loss: 0.7849
Epoch [19/100], Step[431/526], Loss: 0.6939
Epoch [19/100], Step[432/526], Loss: 0.7253
Epoch [19/100], Step[433/526], Loss: 0.6680
Epoch [19/100], Step[434/526], Loss: 0.6041
Epoch [19/100], Step[435/526], Loss: 0.7438
Epoch [19/100], Step[436/526], Loss: 0.7799
Epoch [19/100], Step[437/526], Loss: 0.5542
Epoch [19/100], Step[438/526], Loss: 0.4004
Epoch [19/100], Step[439/526], Loss: 0.7277
Epoch [19/100], Step[440/526], Loss: 0.6915
Epoch [19/100], Step[441/526], Loss: 0.6928
Epoch [19/100], Step[442/526], Loss: 0.6528
Epoch [19/100], Step[443/526], Loss: 0.6774
Epoch [19/100], Step[444/526], Loss: 0.7465
Epoch [19/100], Step[445/526], Loss: 0.6943
Epoch [19/100], Step[446/526], Loss: 0.7143
Epoch [19/100], Step[447/526], Loss: 0.7062
Epoch [19/100], Step[448/526], Loss: 0.7014
Epoch [19/100], Step[449/526], Loss: 0.6828
Epoch [19/100], Step[450/526], Loss: 0.6292
Epoch [19/100], Step[451/526], Loss: 0.6634
Epoch [19/100], Step[452/526], Loss: 0.7250
Epoch [19/100], Step[453/526], Loss: 0.7200
Epoch [19/100], Step[454/526], Loss: 0.7780
Epoch [19/100], Step[455/526], Loss: 0.6673
Epoch [19/100], Step[456/526], Loss: 0.6456
Epoch [19/100], Step[457/526], Loss: 0.6910
Epoch [19/100], Step[458/526], Loss: 0.6657
Epoch [19/100], Step[459/526], Loss: 0.6572
Epoch [19/100], Step[460/526], Loss: 0.6417
Epoch [19/100], Step[461/526], Loss: 0.6394
Epoch [19/100], Step[462/526], Loss: 0.6656
Epoch [19/100], Step[463/526], Loss: 0.6382
Epoch [19/100], Step[464/526], Loss: 0.6410
Epoch [19/100], Step[465/526], Loss: 0.6667
Epoch [19/100], Step[466/526], Loss: 0.6658
Epoch [19/100], Step[467/526], Loss: 0.6489
Epoch [19/100], Step[468/526], Loss: 0.6193
Epoch [19/100], Step[469/526], Loss: 0.9381
Epoch [19/100], Step[470/526], Loss: 0.7003
Epoch [19/100], Step[471/526], Loss: 0.7705
Epoch [19/100], Step[472/526], Loss: 0.6516
Epoch [19/100], Step[473/526], Loss: 0.6681
Epoch [19/100], Step[474/526], Loss: 0.6744
Epoch [19/100], Step[475/526], Loss: 0.7914
Epoch [19/100], Step[476/526], Loss: 0.7770
Epoch [19/100], Step[477/526], Loss: 0.7219
Epoch [19/100], Step[478/526], Loss: 0.7169
Epoch [19/100], Step[479/526], Loss: 0.6798
Epoch [19/100], Step[480/526], Loss: 0.7562
Epoch [19/100], Step[481/526], Loss: 0.6973
Epoch [19/100], Step[482/526], Loss: 0.5893
Epoch [19/100], Step[483/526], Loss: 0.5634
Epoch [19/100], Step[484/526], Loss: 0.6918
Epoch [19/100], Step[485/526], Loss: 0.7989
Epoch [19/100], Step[486/526], Loss: 0.7074
Epoch [19/100], Step[487/526], Loss: 0.7437
Epoch [19/100], Step[488/526], Loss: 0.6987
Epoch [19/100], Step[489/526], Loss: 0.6447
Epoch [19/100], Step[490/526], Loss: 0.6267
Epoch [19/100], Step[491/526], Loss: 0.7110
Epoch [19/100], Step[492/526], Loss: 0.6718
Epoch [19/100], Step[493/526], Loss: 0.6672
Epoch [19/100], Step[494/526], Loss: 0.6556
Epoch [19/100], Step[495/526], Loss: 0.6866
Epoch [19/100], Step[496/526], Loss: 0.6746
Epoch [19/100], Step[497/526], Loss: 0.6476
Epoch [19/100], Step[498/526], Loss: 0.6775
Epoch [19/100], Step[499/526], Loss: 0.6794
Epoch [19/100], Step[500/526], Loss: 0.6807
Epoch [19/100], Step[501/526], Loss: 0.6593
Epoch [19/100], Step[502/526], Loss: 0.6937
Epoch [19/100], Step[503/526], Loss: 0.7034
Epoch [19/100], Step[504/526], Loss: 0.6929
Epoch [19/100], Step[505/526], Loss: 0.7001
Epoch [19/100], Step[506/526], Loss: 0.6861
Epoch [19/100], Step[507/526], Loss: 0.6791
Epoch [19/100], Step[508/526], Loss: 0.6979
Epoch [19/100], Step[509/526], Loss: 0.6644
Epoch [19/100], Step[510/526], Loss: 0.6986
Epoch [19/100], Step[511/526], Loss: 0.6521
Epoch [19/100], Step[512/526], Loss: 0.6795
Epoch [19/100], Step[513/526], Loss: 0.6544
Epoch [19/100], Step[514/526], Loss: 0.6492
Epoch [19/100], Step[515/526], Loss: 0.5877
Epoch [19/100], Step[516/526], Loss: 0.7375
Epoch [19/100], Step[517/526], Loss: 0.6848
Epoch [19/100], Step[518/526], Loss: 0.7267
Epoch [19/100], Step[519/526], Loss: 0.7094
Epoch [19/100], Step[520/526], Loss: 0.6751
Epoch [19/100], Step[521/526], Loss: 0.6676
Epoch [19/100], Step[522/526], Loss: 0.6205
Epoch [19/100], Step[523/526], Loss: 0.6501
Epoch [19/100], Step[524/526], Loss: 0.6507
Epoch [19/100], Step[525/526], Loss: 0.7325
Epoch [19/100], Step[526/526], Loss: 0.6969
Epoch [20/100], Step[1/526], Loss: 0.6637
Epoch [20/100], Step[2/526], Loss: 0.6509
Epoch [20/100], Step[3/526], Loss: 0.6776
Epoch [20/100], Step[4/526], Loss: 0.6420
Epoch [20/100], Step[5/526], Loss: 0.7292
Epoch [20/100], Step[6/526], Loss: 0.7304
Epoch [20/100], Step[7/526], Loss: 0.7021
Epoch [20/100], Step[8/526], Loss: 0.6834
Epoch [20/100], Step[9/526], Loss: 0.7079
Epoch [20/100], Step[10/526], Loss: 0.6865
Epoch [20/100], Step[11/526], Loss: 0.6670
Epoch [20/100], Step[12/526], Loss: 0.7148
Epoch [20/100], Step[13/526], Loss: 0.6429
Epoch [20/100], Step[14/526], Loss: 0.6649
Epoch [20/100], Step[15/526], Loss: 0.6896
Epoch [20/100], Step[16/526], Loss: 0.6974
Epoch [20/100], Step[17/526], Loss: 0.6982
Epoch [20/100], Step[18/526], Loss: 0.6973
Epoch [20/100], Step[19/526], Loss: 0.6766
Epoch [20/100], Step[20/526], Loss: 0.7087
Epoch [20/100], Step[21/526], Loss: 0.7334
Epoch [20/100], Step[22/526], Loss: 0.7233
Epoch [20/100], Step[23/526], Loss: 0.7308
Epoch [20/100], Step[24/526], Loss: 0.7079
Epoch [20/100], Step[25/526], Loss: 0.6897
Epoch [20/100], Step[26/526], Loss: 0.6450
Epoch [20/100], Step[27/526], Loss: 0.6882
Epoch [20/100], Step[28/526], Loss: 0.6902
Epoch [20/100], Step[29/526], Loss: 0.6647
Epoch [20/100], Step[30/526], Loss: 0.6905
Epoch [20/100], Step[31/526], Loss: 0.7015
Epoch [20/100], Step[32/526], Loss: 0.6680
Epoch [20/100], Step[33/526], Loss: 0.7104
Epoch [20/100], Step[34/526], Loss: 0.6857
Epoch [20/100], Step[35/526], Loss: 0.7060
Epoch [20/100], Step[36/526], Loss: 0.6928
Epoch [20/100], Step[37/526], Loss: 0.6937
Epoch [20/100], Step[38/526], Loss: 0.6989
Epoch [20/100], Step[39/526], Loss: 0.7065
Epoch [20/100], Step[40/526], Loss: 0.7217
Epoch [20/100], Step[41/526], Loss: 0.6556
Epoch [20/100], Step[42/526], Loss: 0.7214
Epoch [20/100], Step[43/526], Loss: 0.7135
Epoch [20/100], Step[44/526], Loss: 0.6850
Epoch [20/100], Step[45/526], Loss: 0.6829
Epoch [20/100], Step[46/526], Loss: 0.6929
Epoch [20/100], Step[47/526], Loss: 0.7102
Epoch [20/100], Step[48/526], Loss: 0.7185
Epoch [20/100], Step[49/526], Loss: 0.7038
Epoch [20/100], Step[50/526], Loss: 0.7166
Epoch [20/100], Step[51/526], Loss: 0.6957
Epoch [20/100], Step[52/526], Loss: 0.6806
Epoch [20/100], Step[53/526], Loss: 0.7173
Epoch [20/100], Step[54/526], Loss: 0.6967
Epoch [20/100], Step[55/526], Loss: 0.6923
Epoch [20/100], Step[56/526], Loss: 0.6975
Epoch [20/100], Step[57/526], Loss: 0.6861
Epoch [20/100], Step[58/526], Loss: 0.6773
Epoch [20/100], Step[59/526], Loss: 0.6680
Epoch [20/100], Step[60/526], Loss: 0.6761
Epoch [20/100], Step[61/526], Loss: 0.6488
Epoch [20/100], Step[62/526], Loss: 0.6912
Epoch [20/100], Step[63/526], Loss: 0.6854
Epoch [20/100], Step[64/526], Loss: 0.6794
Epoch [20/100], Step[65/526], Loss: 0.7151
Epoch [20/100], Step[66/526], Loss: 0.6852
Epoch [20/100], Step[67/526], Loss: 0.6718
Epoch [20/100], Step[68/526], Loss: 0.6563
Epoch [20/100], Step[69/526], Loss: 0.7004
Epoch [20/100], Step[70/526], Loss: 0.6863
Epoch [20/100], Step[71/526], Loss: 0.6656
Epoch [20/100], Step[72/526], Loss: 0.6741
Epoch [20/100], Step[73/526], Loss: 0.7060
Epoch [20/100], Step[74/526], Loss: 0.6656
Epoch [20/100], Step[75/526], Loss: 0.7074
Epoch [20/100], Step[76/526], Loss: 0.6955
Epoch [20/100], Step[77/526], Loss: 0.6883
Epoch [20/100], Step[78/526], Loss: 0.7066
Epoch [20/100], Step[79/526], Loss: 0.6952
Epoch [20/100], Step[80/526], Loss: 0.6933
Epoch [20/100], Step[81/526], Loss: 0.7044
Epoch [20/100], Step[82/526], Loss: 0.7291
Epoch [20/100], Step[83/526], Loss: 0.7103
Epoch [20/100], Step[84/526], Loss: 0.6954
Epoch [20/100], Step[85/526], Loss: 0.6679
Epoch [20/100], Step[86/526], Loss: 0.7068
Epoch [20/100], Step[87/526], Loss: 0.6802
Epoch [20/100], Step[88/526], Loss: 0.6875
Epoch [20/100], Step[89/526], Loss: 0.7133
Epoch [20/100], Step[90/526], Loss: 0.6882
Epoch [20/100], Step[91/526], Loss: 0.6798
Epoch [20/100], Step[92/526], Loss: 0.6770
Epoch [20/100], Step[93/526], Loss: 0.6814
Epoch [20/100], Step[94/526], Loss: 0.7933
Epoch [20/100], Step[95/526], Loss: 0.7114
Epoch [20/100], Step[96/526], Loss: 0.6322
Epoch [20/100], Step[97/526], Loss: 0.6044
Epoch [20/100], Step[98/526], Loss: 0.6947
Epoch [20/100], Step[99/526], Loss: 0.6881
Epoch [20/100], Step[100/526], Loss: 0.6701
Epoch [20/100], Step[101/526], Loss: 0.6599
Epoch [20/100], Step[102/526], Loss: 0.6350
Epoch [20/100], Step[103/526], Loss: 0.6773
Epoch [20/100], Step[104/526], Loss: 0.6455
Epoch [20/100], Step[105/526], Loss: 0.6452
Epoch [20/100], Step[106/526], Loss: 0.6865
Epoch [20/100], Step[107/526], Loss: 0.6500
Epoch [20/100], Step[108/526], Loss: 0.5930
Epoch [20/100], Step[109/526], Loss: 0.6819
Epoch [20/100], Step[110/526], Loss: 0.6914
Epoch [20/100], Step[111/526], Loss: 0.6009
Epoch [20/100], Step[112/526], Loss: 0.7312
Epoch [20/100], Step[113/526], Loss: 0.6096
Epoch [20/100], Step[114/526], Loss: 0.6614
Epoch [20/100], Step[115/526], Loss: 0.6165
Epoch [20/100], Step[116/526], Loss: 0.6229
Epoch [20/100], Step[117/526], Loss: 0.6435
Epoch [20/100], Step[118/526], Loss: 0.7448
Epoch [20/100], Step[119/526], Loss: 0.6772
Epoch [20/100], Step[120/526], Loss: 0.6766
Epoch [20/100], Step[121/526], Loss: 0.6891
Epoch [20/100], Step[122/526], Loss: 0.6392
Epoch [20/100], Step[123/526], Loss: 0.6539
Epoch [20/100], Step[124/526], Loss: 0.6758
Epoch [20/100], Step[125/526], Loss: 0.6366
Epoch [20/100], Step[126/526], Loss: 0.7099
Epoch [20/100], Step[127/526], Loss: 0.6780
Epoch [20/100], Step[128/526], Loss: 0.6430
Epoch [20/100], Step[129/526], Loss: 0.5881
Epoch [20/100], Step[130/526], Loss: 0.5922
Epoch [20/100], Step[131/526], Loss: 0.6854
Epoch [20/100], Step[132/526], Loss: 0.7369
Epoch [20/100], Step[133/526], Loss: 0.6833
Epoch [20/100], Step[134/526], Loss: 0.6327
Epoch [20/100], Step[135/526], Loss: 0.6496
Epoch [20/100], Step[136/526], Loss: 0.5716
Epoch [20/100], Step[137/526], Loss: 0.6351
Epoch [20/100], Step[138/526], Loss: 0.6563
Epoch [20/100], Step[139/526], Loss: 0.7213
Epoch [20/100], Step[140/526], Loss: 0.5950
Epoch [20/100], Step[141/526], Loss: 0.6763
Epoch [20/100], Step[142/526], Loss: 0.6621
Epoch [20/100], Step[143/526], Loss: 0.6923
Epoch [20/100], Step[144/526], Loss: 0.7756
Epoch [20/100], Step[145/526], Loss: 0.5594
Epoch [20/100], Step[146/526], Loss: 0.5142
Epoch [20/100], Step[147/526], Loss: 0.4575
Epoch [20/100], Step[148/526], Loss: 0.5922
Epoch [20/100], Step[149/526], Loss: 0.4931
Epoch [20/100], Step[150/526], Loss: 0.5851
Epoch [20/100], Step[151/526], Loss: 0.5422
Epoch [20/100], Step[152/526], Loss: 0.6169
Epoch [20/100], Step[153/526], Loss: 0.6169
Epoch [20/100], Step[154/526], Loss: 0.7359
Epoch [20/100], Step[155/526], Loss: 0.6996
Epoch [20/100], Step[156/526], Loss: 0.5013
Epoch [20/100], Step[157/526], Loss: 0.2681
Epoch [20/100], Step[158/526], Loss: 0.5847
Epoch [20/100], Step[159/526], Loss: 0.6556
Epoch [20/100], Step[160/526], Loss: 0.5500
Epoch [20/100], Step[161/526], Loss: 1.1169
Epoch [20/100], Step[162/526], Loss: 0.6837
Epoch [20/100], Step[163/526], Loss: 0.7419
Epoch [20/100], Step[164/526], Loss: 0.6197
Epoch [20/100], Step[165/526], Loss: 0.7306
Epoch [20/100], Step[166/526], Loss: 0.4669
Epoch [20/100], Step[167/526], Loss: 0.5067
Epoch [20/100], Step[168/526], Loss: 0.6972
Epoch [20/100], Step[169/526], Loss: 0.7685
Epoch [20/100], Step[170/526], Loss: 0.7021
Epoch [20/100], Step[171/526], Loss: 0.7244
Epoch [20/100], Step[172/526], Loss: 0.7223
Epoch [20/100], Step[173/526], Loss: 0.8184
Epoch [20/100], Step[174/526], Loss: 0.6498
Epoch [20/100], Step[175/526], Loss: 0.6486
Epoch [20/100], Step[176/526], Loss: 0.6261
Epoch [20/100], Step[177/526], Loss: 0.6463
Epoch [20/100], Step[178/526], Loss: 0.7033
Epoch [20/100], Step[179/526], Loss: 0.6291
Epoch [20/100], Step[180/526], Loss: 0.6870
Epoch [20/100], Step[181/526], Loss: 0.6316
Epoch [20/100], Step[182/526], Loss: 0.6796
Epoch [20/100], Step[183/526], Loss: 0.5201
Epoch [20/100], Step[184/526], Loss: 0.5886
Epoch [20/100], Step[185/526], Loss: 0.5768
Epoch [20/100], Step[186/526], Loss: 0.6636
Epoch [20/100], Step[187/526], Loss: 0.7544
Epoch [20/100], Step[188/526], Loss: 0.7132
Epoch [20/100], Step[189/526], Loss: 0.6911
Epoch [20/100], Step[190/526], Loss: 0.6189
Epoch [20/100], Step[191/526], Loss: 0.7381
Epoch [20/100], Step[192/526], Loss: 0.8030
Epoch [20/100], Step[193/526], Loss: 0.6565
Epoch [20/100], Step[194/526], Loss: 0.6233
Epoch [20/100], Step[195/526], Loss: 0.6542
Epoch [20/100], Step[196/526], Loss: 0.7380
Epoch [20/100], Step[197/526], Loss: 0.7064
Epoch [20/100], Step[198/526], Loss: 0.6315
Epoch [20/100], Step[199/526], Loss: 0.7163
Epoch [20/100], Step[200/526], Loss: 0.6597
Epoch [20/100], Step[201/526], Loss: 0.6778
Epoch [20/100], Step[202/526], Loss: 0.7538
Epoch [20/100], Step[203/526], Loss: 0.7057
Epoch [20/100], Step[204/526], Loss: 0.7682
Epoch [20/100], Step[205/526], Loss: 0.7075
Epoch [20/100], Step[206/526], Loss: 0.6833
Epoch [20/100], Step[207/526], Loss: 0.7070
Epoch [20/100], Step[208/526], Loss: 0.6834
Epoch [20/100], Step[209/526], Loss: 0.6823
Epoch [20/100], Step[210/526], Loss: 0.7685
Epoch [20/100], Step[211/526], Loss: 0.6268
Epoch [20/100], Step[212/526], Loss: 0.6867
Epoch [20/100], Step[213/526], Loss: 0.7263
Epoch [20/100], Step[214/526], Loss: 0.7495
Epoch [20/100], Step[215/526], Loss: 0.6943
Epoch [20/100], Step[216/526], Loss: 0.6819
Epoch [20/100], Step[217/526], Loss: 0.6793
Epoch [20/100], Step[218/526], Loss: 0.6944
Epoch [20/100], Step[219/526], Loss: 0.6989
Epoch [20/100], Step[220/526], Loss: 0.7262
Epoch [20/100], Step[221/526], Loss: 0.6960
Epoch [20/100], Step[222/526], Loss: 0.7402
Epoch [20/100], Step[223/526], Loss: 0.6750
Epoch [20/100], Step[224/526], Loss: 0.6838
Epoch [20/100], Step[225/526], Loss: 0.7222
Epoch [20/100], Step[226/526], Loss: 0.6799
Epoch [20/100], Step[227/526], Loss: 0.6763
Epoch [20/100], Step[228/526], Loss: 0.6678
Epoch [20/100], Step[229/526], Loss: 0.6827
Epoch [20/100], Step[230/526], Loss: 0.6570
Epoch [20/100], Step[231/526], Loss: 0.6680
Epoch [20/100], Step[232/526], Loss: 0.7142
Epoch [20/100], Step[233/526], Loss: 0.6897
Epoch [20/100], Step[234/526], Loss: 0.6856
Epoch [20/100], Step[235/526], Loss: 0.7014
Epoch [20/100], Step[236/526], Loss: 0.6859
Epoch [20/100], Step[237/526], Loss: 0.7230
Epoch [20/100], Step[238/526], Loss: 0.6915
Epoch [20/100], Step[239/526], Loss: 0.6732
Epoch [20/100], Step[240/526], Loss: 0.7200
Epoch [20/100], Step[241/526], Loss: 0.6951
Epoch [20/100], Step[242/526], Loss: 0.7133
Epoch [20/100], Step[243/526], Loss: 0.6420
Epoch [20/100], Step[244/526], Loss: 0.6477
Epoch [20/100], Step[245/526], Loss: 0.6442
Epoch [20/100], Step[246/526], Loss: 0.6689
Epoch [20/100], Step[247/526], Loss: 0.6253
Epoch [20/100], Step[248/526], Loss: 0.6523
Epoch [20/100], Step[249/526], Loss: 0.6630
Epoch [20/100], Step[250/526], Loss: 0.6794
Epoch [20/100], Step[251/526], Loss: 0.6981
Epoch [20/100], Step[252/526], Loss: 0.6968
Epoch [20/100], Step[253/526], Loss: 0.6335
Epoch [20/100], Step[254/526], Loss: 0.6456
Epoch [20/100], Step[255/526], Loss: 0.6119
Epoch [20/100], Step[256/526], Loss: 0.6984
Epoch [20/100], Step[257/526], Loss: 0.6467
Epoch [20/100], Step[258/526], Loss: 0.6404
Epoch [20/100], Step[259/526], Loss: 0.6859
Epoch [20/100], Step[260/526], Loss: 0.7200
Epoch [20/100], Step[261/526], Loss: 0.7371
Epoch [20/100], Step[262/526], Loss: 0.6776
Epoch [20/100], Step[263/526], Loss: 0.6634
Epoch [20/100], Step[264/526], Loss: 0.6244
Epoch [20/100], Step[265/526], Loss: 0.6286
Epoch [20/100], Step[266/526], Loss: 0.5868
Epoch [20/100], Step[267/526], Loss: 0.5273
Epoch [20/100], Step[268/526], Loss: 0.7855
Epoch [20/100], Step[269/526], Loss: 0.9012
Epoch [20/100], Step[270/526], Loss: 0.4365
Epoch [20/100], Step[271/526], Loss: 0.5261
Epoch [20/100], Step[272/526], Loss: 0.5495
Epoch [20/100], Step[273/526], Loss: 0.6297
Epoch [20/100], Step[274/526], Loss: 0.4623
Epoch [20/100], Step[275/526], Loss: 0.4406
Epoch [20/100], Step[276/526], Loss: 0.4860
Epoch [20/100], Step[277/526], Loss: 0.4485
Epoch [20/100], Step[278/526], Loss: 0.4587
Epoch [20/100], Step[279/526], Loss: 0.4096
Epoch [20/100], Step[280/526], Loss: 0.4583
Epoch [20/100], Step[281/526], Loss: 0.6127
Epoch [20/100], Step[282/526], Loss: 0.3787
Epoch [20/100], Step[283/526], Loss: 0.3721
Epoch [20/100], Step[284/526], Loss: 0.4059
Epoch [20/100], Step[285/526], Loss: 0.2931
Epoch [20/100], Step[286/526], Loss: 0.6866
Epoch [20/100], Step[287/526], Loss: 0.4844
Epoch [20/100], Step[288/526], Loss: 0.4400
Epoch [20/100], Step[289/526], Loss: 0.6027
Epoch [20/100], Step[290/526], Loss: 0.4327
Epoch [20/100], Step[291/526], Loss: 0.4819
Epoch [20/100], Step[292/526], Loss: 0.2643
Epoch [20/100], Step[293/526], Loss: 0.3160
Epoch [20/100], Step[294/526], Loss: 0.3307
Epoch [20/100], Step[295/526], Loss: 0.4138
Epoch [20/100], Step[296/526], Loss: 0.5929
Epoch [20/100], Step[297/526], Loss: 0.2859
Epoch [20/100], Step[298/526], Loss: 0.3051
Epoch [20/100], Step[299/526], Loss: 0.2740
Epoch [20/100], Step[300/526], Loss: 0.3273
Epoch [20/100], Step[301/526], Loss: 0.5946
Epoch [20/100], Step[302/526], Loss: 0.3147
Epoch [20/100], Step[303/526], Loss: 0.4925
Epoch [20/100], Step[304/526], Loss: 0.2657
Epoch [20/100], Step[305/526], Loss: 0.2720
Epoch [20/100], Step[306/526], Loss: 0.5662
Epoch [20/100], Step[307/526], Loss: 0.8692
Epoch [20/100], Step[308/526], Loss: 1.2864
Epoch [20/100], Step[309/526], Loss: 0.9102
Epoch [20/100], Step[310/526], Loss: 0.9613
Epoch [20/100], Step[311/526], Loss: 0.8209
Epoch [20/100], Step[312/526], Loss: 0.4917
Epoch [20/100], Step[313/526], Loss: 0.4804
Epoch [20/100], Step[314/526], Loss: 0.6485
Epoch [20/100], Step[315/526], Loss: 0.7096
Epoch [20/100], Step[316/526], Loss: 0.5063
Epoch [20/100], Step[317/526], Loss: 0.3095
Epoch [20/100], Step[318/526], Loss: 0.7407
Epoch [20/100], Step[319/526], Loss: 0.3597
Epoch [20/100], Step[320/526], Loss: 0.5719
Epoch [20/100], Step[321/526], Loss: 0.7497
Epoch [20/100], Step[322/526], Loss: 0.2746
Epoch [20/100], Step[323/526], Loss: 0.6001
Epoch [20/100], Step[324/526], Loss: 0.6702
Epoch [20/100], Step[325/526], Loss: 0.5681
Epoch [20/100], Step[326/526], Loss: 0.8030
Epoch [20/100], Step[327/526], Loss: 0.7326
Epoch [20/100], Step[328/526], Loss: 0.9012
Epoch [20/100], Step[329/526], Loss: 1.2322
Epoch [20/100], Step[330/526], Loss: 0.9846
Epoch [20/100], Step[331/526], Loss: 0.8252
Epoch [20/100], Step[332/526], Loss: 0.8664
Epoch [20/100], Step[333/526], Loss: 0.7732
Epoch [20/100], Step[334/526], Loss: 0.7899
Epoch [20/100], Step[335/526], Loss: 0.8392
Epoch [20/100], Step[336/526], Loss: 0.6933
Epoch [20/100], Step[337/526], Loss: 0.6029
Epoch [20/100], Step[338/526], Loss: 0.7110
Epoch [20/100], Step[339/526], Loss: 0.6545
Epoch [20/100], Step[340/526], Loss: 0.7350
Epoch [20/100], Step[341/526], Loss: 0.8013
Epoch [20/100], Step[342/526], Loss: 0.7932
Epoch [20/100], Step[343/526], Loss: 0.5550
Epoch [20/100], Step[344/526], Loss: 0.7424
Epoch [20/100], Step[345/526], Loss: 0.6570
Epoch [20/100], Step[346/526], Loss: 0.6748
Epoch [20/100], Step[347/526], Loss: 0.7023
Epoch [20/100], Step[348/526], Loss: 0.6397
Epoch [20/100], Step[349/526], Loss: 0.5896
Epoch [20/100], Step[350/526], Loss: 0.6791
Epoch [20/100], Step[351/526], Loss: 0.7189
Epoch [20/100], Step[352/526], Loss: 0.6194
Epoch [20/100], Step[353/526], Loss: 0.6907
Epoch [20/100], Step[354/526], Loss: 0.6736
Epoch [20/100], Step[355/526], Loss: 0.6750
Epoch [20/100], Step[356/526], Loss: 0.7053
Epoch [20/100], Step[357/526], Loss: 0.6609
Epoch [20/100], Step[358/526], Loss: 0.6968
Epoch [20/100], Step[359/526], Loss: 0.6588
Epoch [20/100], Step[360/526], Loss: 0.6694
Epoch [20/100], Step[361/526], Loss: 0.7298
Epoch [20/100], Step[362/526], Loss: 0.7024
Epoch [20/100], Step[363/526], Loss: 0.6920
Epoch [20/100], Step[364/526], Loss: 0.7202
Epoch [20/100], Step[365/526], Loss: 0.7152
Epoch [20/100], Step[366/526], Loss: 0.6893
Epoch [20/100], Step[367/526], Loss: 0.6894
Epoch [20/100], Step[368/526], Loss: 0.6540
Epoch [20/100], Step[369/526], Loss: 0.6663
Epoch [20/100], Step[370/526], Loss: 0.6230
Epoch [20/100], Step[371/526], Loss: 0.7332
Epoch [20/100], Step[372/526], Loss: 0.6520
Epoch [20/100], Step[373/526], Loss: 0.6819
Epoch [20/100], Step[374/526], Loss: 0.7015
Epoch [20/100], Step[375/526], Loss: 0.6543
Epoch [20/100], Step[376/526], Loss: 0.6441
Epoch [20/100], Step[377/526], Loss: 0.6867
Epoch [20/100], Step[378/526], Loss: 0.6967
Epoch [20/100], Step[379/526], Loss: 0.7271
Epoch [20/100], Step[380/526], Loss: 0.6118
Epoch [20/100], Step[381/526], Loss: 0.6092
Epoch [20/100], Step[382/526], Loss: 0.6799
Epoch [20/100], Step[383/526], Loss: 0.6925
Epoch [20/100], Step[384/526], Loss: 0.6410
Epoch [20/100], Step[385/526], Loss: 0.6326
Epoch [20/100], Step[386/526], Loss: 0.6631
Epoch [20/100], Step[387/526], Loss: 0.6597
Epoch [20/100], Step[388/526], Loss: 0.6018
Epoch [20/100], Step[389/526], Loss: 0.7203
Epoch [20/100], Step[390/526], Loss: 0.6024
Epoch [20/100], Step[391/526], Loss: 0.6545
Epoch [20/100], Step[392/526], Loss: 0.7004
Epoch [20/100], Step[393/526], Loss: 0.5975
Epoch [20/100], Step[394/526], Loss: 0.5239
Epoch [20/100], Step[395/526], Loss: 0.6236
Epoch [20/100], Step[396/526], Loss: 0.6340
Epoch [20/100], Step[397/526], Loss: 0.4887
Epoch [20/100], Step[398/526], Loss: 0.5993
Epoch [20/100], Step[399/526], Loss: 0.6538
Epoch [20/100], Step[400/526], Loss: 0.4829
Epoch [20/100], Step[401/526], Loss: 0.5826
Epoch [20/100], Step[402/526], Loss: 0.6282
Epoch [20/100], Step[403/526], Loss: 0.7120
Epoch [20/100], Step[404/526], Loss: 0.4880
Epoch [20/100], Step[405/526], Loss: 0.5081
Epoch [20/100], Step[406/526], Loss: 0.6399
Epoch [20/100], Step[407/526], Loss: 0.7433
Epoch [20/100], Step[408/526], Loss: 0.6501
Epoch [20/100], Step[409/526], Loss: 0.4541
Epoch [20/100], Step[410/526], Loss: 0.4811
Epoch [20/100], Step[411/526], Loss: 0.5310
Epoch [20/100], Step[412/526], Loss: 0.5860
Epoch [20/100], Step[413/526], Loss: 0.5880
Epoch [20/100], Step[414/526], Loss: 0.6282
Epoch [20/100], Step[415/526], Loss: 0.6114
Epoch [20/100], Step[416/526], Loss: 0.5398
Epoch [20/100], Step[417/526], Loss: 0.4651
Epoch [20/100], Step[418/526], Loss: 0.7600
Epoch [20/100], Step[419/526], Loss: 0.6951
Epoch [20/100], Step[420/526], Loss: 0.6825
Epoch [20/100], Step[421/526], Loss: 0.6328
Epoch [20/100], Step[422/526], Loss: 0.7932
Epoch [20/100], Step[423/526], Loss: 0.7054
Epoch [20/100], Step[424/526], Loss: 0.7405
Epoch [20/100], Step[425/526], Loss: 0.7125
Epoch [20/100], Step[426/526], Loss: 0.7679
Epoch [20/100], Step[427/526], Loss: 0.6887
Epoch [20/100], Step[428/526], Loss: 0.7098
Epoch [20/100], Step[429/526], Loss: 0.7370
Epoch [20/100], Step[430/526], Loss: 0.7919
Epoch [20/100], Step[431/526], Loss: 0.7159
Epoch [20/100], Step[432/526], Loss: 0.7337
Epoch [20/100], Step[433/526], Loss: 0.6866
Epoch [20/100], Step[434/526], Loss: 0.6217
Epoch [20/100], Step[435/526], Loss: 0.7897
Epoch [20/100], Step[436/526], Loss: 0.8202
Epoch [20/100], Step[437/526], Loss: 0.5308
Epoch [20/100], Step[438/526], Loss: 0.3727
Epoch [20/100], Step[439/526], Loss: 0.7410
Epoch [20/100], Step[440/526], Loss: 0.6967
Epoch [20/100], Step[441/526], Loss: 0.7009
Epoch [20/100], Step[442/526], Loss: 0.6408
Epoch [20/100], Step[443/526], Loss: 0.6702
Epoch [20/100], Step[444/526], Loss: 0.7580
Epoch [20/100], Step[445/526], Loss: 0.6957
Epoch [20/100], Step[446/526], Loss: 0.7219
Epoch [20/100], Step[447/526], Loss: 0.7162
Epoch [20/100], Step[448/526], Loss: 0.7304
Epoch [20/100], Step[449/526], Loss: 0.6906
Epoch [20/100], Step[450/526], Loss: 0.6101
Epoch [20/100], Step[451/526], Loss: 0.6500
Epoch [20/100], Step[452/526], Loss: 0.7306
Epoch [20/100], Step[453/526], Loss: 0.7235
Epoch [20/100], Step[454/526], Loss: 0.7954
Epoch [20/100], Step[455/526], Loss: 0.6572
Epoch [20/100], Step[456/526], Loss: 0.6447
Epoch [20/100], Step[457/526], Loss: 0.6993
Epoch [20/100], Step[458/526], Loss: 0.6723
Epoch [20/100], Step[459/526], Loss: 0.6714
Epoch [20/100], Step[460/526], Loss: 0.6522
Epoch [20/100], Step[461/526], Loss: 0.6265
Epoch [20/100], Step[462/526], Loss: 0.6722
Epoch [20/100], Step[463/526], Loss: 0.6587
Epoch [20/100], Step[464/526], Loss: 0.6570
Epoch [20/100], Step[465/526], Loss: 0.6653
Epoch [20/100], Step[466/526], Loss: 0.6657
Epoch [20/100], Step[467/526], Loss: 0.6503
Epoch [20/100], Step[468/526], Loss: 0.6364
Epoch [20/100], Step[469/526], Loss: 0.7925
Epoch [20/100], Step[470/526], Loss: 0.6630
Epoch [20/100], Step[471/526], Loss: 0.6963
Epoch [20/100], Step[472/526], Loss: 0.6758
Epoch [20/100], Step[473/526], Loss: 0.6786
Epoch [20/100], Step[474/526], Loss: 0.6722
Epoch [20/100], Step[475/526], Loss: 0.8039
Epoch [20/100], Step[476/526], Loss: 0.7538
Epoch [20/100], Step[477/526], Loss: 0.7058
Epoch [20/100], Step[478/526], Loss: 0.6995
Epoch [20/100], Step[479/526], Loss: 0.6686
Epoch [20/100], Step[480/526], Loss: 0.7403
Epoch [20/100], Step[481/526], Loss: 0.7089
Epoch [20/100], Step[482/526], Loss: 0.6238
Epoch [20/100], Step[483/526], Loss: 0.5667
Epoch [20/100], Step[484/526], Loss: 0.6963
Epoch [20/100], Step[485/526], Loss: 0.8009
Epoch [20/100], Step[486/526], Loss: 0.7148
Epoch [20/100], Step[487/526], Loss: 0.7462
Epoch [20/100], Step[488/526], Loss: 0.6944
Epoch [20/100], Step[489/526], Loss: 0.6385
Epoch [20/100], Step[490/526], Loss: 0.6216
Epoch [20/100], Step[491/526], Loss: 0.7041
Epoch [20/100], Step[492/526], Loss: 0.6606
Epoch [20/100], Step[493/526], Loss: 0.6562
Epoch [20/100], Step[494/526], Loss: 0.6556
Epoch [20/100], Step[495/526], Loss: 0.6861
Epoch [20/100], Step[496/526], Loss: 0.6719
Epoch [20/100], Step[497/526], Loss: 0.6432
Epoch [20/100], Step[498/526], Loss: 0.6771
Epoch [20/100], Step[499/526], Loss: 0.6781
Epoch [20/100], Step[500/526], Loss: 0.6798
Epoch [20/100], Step[501/526], Loss: 0.6569
Epoch [20/100], Step[502/526], Loss: 0.6951
Epoch [20/100], Step[503/526], Loss: 0.7062
Epoch [20/100], Step[504/526], Loss: 0.6947
Epoch [20/100], Step[505/526], Loss: 0.7041
Epoch [20/100], Step[506/526], Loss: 0.6852
Epoch [20/100], Step[507/526], Loss: 0.6783
Epoch [20/100], Step[508/526], Loss: 0.6997
Epoch [20/100], Step[509/526], Loss: 0.6607
Epoch [20/100], Step[510/526], Loss: 0.6999
Epoch [20/100], Step[511/526], Loss: 0.6467
Epoch [20/100], Step[512/526], Loss: 0.6772
Epoch [20/100], Step[513/526], Loss: 0.6483
Epoch [20/100], Step[514/526], Loss: 0.6525
Epoch [20/100], Step[515/526], Loss: 0.5851
Epoch [20/100], Step[516/526], Loss: 0.7412
Epoch [20/100], Step[517/526], Loss: 0.6917
Epoch [20/100], Step[518/526], Loss: 0.7321
Epoch [20/100], Step[519/526], Loss: 0.7123
Epoch [20/100], Step[520/526], Loss: 0.6743
Epoch [20/100], Step[521/526], Loss: 0.6681
Epoch [20/100], Step[522/526], Loss: 0.6134
Epoch [20/100], Step[523/526], Loss: 0.6438
Epoch [20/100], Step[524/526], Loss: 0.6453
Epoch [20/100], Step[525/526], Loss: 0.7358
Epoch [20/100], Step[526/526], Loss: 0.6999
Epoch [21/100], Step[1/526], Loss: 0.6619
Epoch [21/100], Step[2/526], Loss: 0.6492
Epoch [21/100], Step[3/526], Loss: 0.6753
Epoch [21/100], Step[4/526], Loss: 0.6380
Epoch [21/100], Step[5/526], Loss: 0.7344
Epoch [21/100], Step[6/526], Loss: 0.7352
Epoch [21/100], Step[7/526], Loss: 0.6995
Epoch [21/100], Step[8/526], Loss: 0.6816
Epoch [21/100], Step[9/526], Loss: 0.7067
Epoch [21/100], Step[10/526], Loss: 0.6821
Epoch [21/100], Step[11/526], Loss: 0.6668
Epoch [21/100], Step[12/526], Loss: 0.7179
Epoch [21/100], Step[13/526], Loss: 0.6381
Epoch [21/100], Step[14/526], Loss: 0.6625
Epoch [21/100], Step[15/526], Loss: 0.6887
Epoch [21/100], Step[16/526], Loss: 0.6980
Epoch [21/100], Step[17/526], Loss: 0.7006
Epoch [21/100], Step[18/526], Loss: 0.6935
Epoch [21/100], Step[19/526], Loss: 0.6701
Epoch [21/100], Step[20/526], Loss: 0.7113
Epoch [21/100], Step[21/526], Loss: 0.7432
Epoch [21/100], Step[22/526], Loss: 0.7304
Epoch [21/100], Step[23/526], Loss: 0.7339
Epoch [21/100], Step[24/526], Loss: 0.7096
Epoch [21/100], Step[25/526], Loss: 0.6925
Epoch [21/100], Step[26/526], Loss: 0.6419
Epoch [21/100], Step[27/526], Loss: 0.6879
Epoch [21/100], Step[28/526], Loss: 0.6910
Epoch [21/100], Step[29/526], Loss: 0.6649
Epoch [21/100], Step[30/526], Loss: 0.6926
Epoch [21/100], Step[31/526], Loss: 0.7026
Epoch [21/100], Step[32/526], Loss: 0.6687
Epoch [21/100], Step[33/526], Loss: 0.7121
Epoch [21/100], Step[34/526], Loss: 0.6885
Epoch [21/100], Step[35/526], Loss: 0.7080
Epoch [21/100], Step[36/526], Loss: 0.6928
Epoch [21/100], Step[37/526], Loss: 0.6937
Epoch [21/100], Step[38/526], Loss: 0.7025
Epoch [21/100], Step[39/526], Loss: 0.7057
Epoch [21/100], Step[40/526], Loss: 0.7251
Epoch [21/100], Step[41/526], Loss: 0.6529
Epoch [21/100], Step[42/526], Loss: 0.7257
Epoch [21/100], Step[43/526], Loss: 0.7160
Epoch [21/100], Step[44/526], Loss: 0.6856
Epoch [21/100], Step[45/526], Loss: 0.6847
Epoch [21/100], Step[46/526], Loss: 0.6913
Epoch [21/100], Step[47/526], Loss: 0.7105
Epoch [21/100], Step[48/526], Loss: 0.7228
Epoch [21/100], Step[49/526], Loss: 0.7070
Epoch [21/100], Step[50/526], Loss: 0.7174
Epoch [21/100], Step[51/526], Loss: 0.6971
Epoch [21/100], Step[52/526], Loss: 0.6772
Epoch [21/100], Step[53/526], Loss: 0.7202
Epoch [21/100], Step[54/526], Loss: 0.6973
Epoch [21/100], Step[55/526], Loss: 0.6916
Epoch [21/100], Step[56/526], Loss: 0.6980
Epoch [21/100], Step[57/526], Loss: 0.6863
Epoch [21/100], Step[58/526], Loss: 0.6751
Epoch [21/100], Step[59/526], Loss: 0.6630
Epoch [21/100], Step[60/526], Loss: 0.6722
Epoch [21/100], Step[61/526], Loss: 0.6466
Epoch [21/100], Step[62/526], Loss: 0.6938
Epoch [21/100], Step[63/526], Loss: 0.6864
Epoch [21/100], Step[64/526], Loss: 0.6803
Epoch [21/100], Step[65/526], Loss: 0.7223
Epoch [21/100], Step[66/526], Loss: 0.6837
Epoch [21/100], Step[67/526], Loss: 0.6685
Epoch [21/100], Step[68/526], Loss: 0.6527
Epoch [21/100], Step[69/526], Loss: 0.6992
Epoch [21/100], Step[70/526], Loss: 0.6840
Epoch [21/100], Step[71/526], Loss: 0.6624
Epoch [21/100], Step[72/526], Loss: 0.6755
Epoch [21/100], Step[73/526], Loss: 0.7089
Epoch [21/100], Step[74/526], Loss: 0.6651
Epoch [21/100], Step[75/526], Loss: 0.7074
Epoch [21/100], Step[76/526], Loss: 0.6964
Epoch [21/100], Step[77/526], Loss: 0.6898
Epoch [21/100], Step[78/526], Loss: 0.7076
Epoch [21/100], Step[79/526], Loss: 0.6962
Epoch [21/100], Step[80/526], Loss: 0.6954
Epoch [21/100], Step[81/526], Loss: 0.7052
Epoch [21/100], Step[82/526], Loss: 0.7311
Epoch [21/100], Step[83/526], Loss: 0.7103
Epoch [21/100], Step[84/526], Loss: 0.6972
Epoch [21/100], Step[85/526], Loss: 0.6651
Epoch [21/100], Step[86/526], Loss: 0.7082
Epoch [21/100], Step[87/526], Loss: 0.6796
Epoch [21/100], Step[88/526], Loss: 0.6890
Epoch [21/100], Step[89/526], Loss: 0.7188
Epoch [21/100], Step[90/526], Loss: 0.6873
Epoch [21/100], Step[91/526], Loss: 0.6798
Epoch [21/100], Step[92/526], Loss: 0.6766
Epoch [21/100], Step[93/526], Loss: 0.6831
Epoch [21/100], Step[94/526], Loss: 0.7997
Epoch [21/100], Step[95/526], Loss: 0.7139
Epoch [21/100], Step[96/526], Loss: 0.6301
Epoch [21/100], Step[97/526], Loss: 0.6007
Epoch [21/100], Step[98/526], Loss: 0.6980
Epoch [21/100], Step[99/526], Loss: 0.6828
Epoch [21/100], Step[100/526], Loss: 0.6761
Epoch [21/100], Step[101/526], Loss: 0.6583
Epoch [21/100], Step[102/526], Loss: 0.6277
Epoch [21/100], Step[103/526], Loss: 0.6770
Epoch [21/100], Step[104/526], Loss: 0.6448
Epoch [21/100], Step[105/526], Loss: 0.6453
Epoch [21/100], Step[106/526], Loss: 0.6906
Epoch [21/100], Step[107/526], Loss: 0.6457
Epoch [21/100], Step[108/526], Loss: 0.5869
Epoch [21/100], Step[109/526], Loss: 0.6798
Epoch [21/100], Step[110/526], Loss: 0.6889
Epoch [21/100], Step[111/526], Loss: 0.5928
Epoch [21/100], Step[112/526], Loss: 0.7366
Epoch [21/100], Step[113/526], Loss: 0.6080
Epoch [21/100], Step[114/526], Loss: 0.6578
Epoch [21/100], Step[115/526], Loss: 0.6106
Epoch [21/100], Step[116/526], Loss: 0.6257
Epoch [21/100], Step[117/526], Loss: 0.6502
Epoch [21/100], Step[118/526], Loss: 0.7491
Epoch [21/100], Step[119/526], Loss: 0.6781
Epoch [21/100], Step[120/526], Loss: 0.6776
Epoch [21/100], Step[121/526], Loss: 0.6982
Epoch [21/100], Step[122/526], Loss: 0.6339
Epoch [21/100], Step[123/526], Loss: 0.6505
Epoch [21/100], Step[124/526], Loss: 0.6766
Epoch [21/100], Step[125/526], Loss: 0.6393
Epoch [21/100], Step[126/526], Loss: 0.7152
Epoch [21/100], Step[127/526], Loss: 0.6725
Epoch [21/100], Step[128/526], Loss: 0.6466
Epoch [21/100], Step[129/526], Loss: 0.5963
Epoch [21/100], Step[130/526], Loss: 0.6107
Epoch [21/100], Step[131/526], Loss: 0.6787
Epoch [21/100], Step[132/526], Loss: 0.7272
Epoch [21/100], Step[133/526], Loss: 0.6778
Epoch [21/100], Step[134/526], Loss: 0.6296
Epoch [21/100], Step[135/526], Loss: 0.6476
Epoch [21/100], Step[136/526], Loss: 0.5727
Epoch [21/100], Step[137/526], Loss: 0.6328
Epoch [21/100], Step[138/526], Loss: 0.6565
Epoch [21/100], Step[139/526], Loss: 0.7147
Epoch [21/100], Step[140/526], Loss: 0.5949
Epoch [21/100], Step[141/526], Loss: 0.6828
Epoch [21/100], Step[142/526], Loss: 0.6655
Epoch [21/100], Step[143/526], Loss: 0.6897
Epoch [21/100], Step[144/526], Loss: 0.7767
Epoch [21/100], Step[145/526], Loss: 0.5620
Epoch [21/100], Step[146/526], Loss: 0.5136
Epoch [21/100], Step[147/526], Loss: 0.4684
Epoch [21/100], Step[148/526], Loss: 0.5875
Epoch [21/100], Step[149/526], Loss: 0.5037
Epoch [21/100], Step[150/526], Loss: 0.6091
Epoch [21/100], Step[151/526], Loss: 0.5657
Epoch [21/100], Step[152/526], Loss: 0.6238
Epoch [21/100], Step[153/526], Loss: 0.6335
Epoch [21/100], Step[154/526], Loss: 0.7333
Epoch [21/100], Step[155/526], Loss: 0.7089
Epoch [21/100], Step[156/526], Loss: 0.5210
Epoch [21/100], Step[157/526], Loss: 0.2860
Epoch [21/100], Step[158/526], Loss: 0.5995
Epoch [21/100], Step[159/526], Loss: 0.6670
Epoch [21/100], Step[160/526], Loss: 0.5532
Epoch [21/100], Step[161/526], Loss: 1.0361
Epoch [21/100], Step[162/526], Loss: 0.6886
Epoch [21/100], Step[163/526], Loss: 0.7233
Epoch [21/100], Step[164/526], Loss: 0.6188
Epoch [21/100], Step[165/526], Loss: 0.7284
Epoch [21/100], Step[166/526], Loss: 0.4920
Epoch [21/100], Step[167/526], Loss: 0.5268
Epoch [21/100], Step[168/526], Loss: 0.6901
Epoch [21/100], Step[169/526], Loss: 0.7552
Epoch [21/100], Step[170/526], Loss: 0.6974
Epoch [21/100], Step[171/526], Loss: 0.7240
Epoch [21/100], Step[172/526], Loss: 0.7182
Epoch [21/100], Step[173/526], Loss: 0.8083
Epoch [21/100], Step[174/526], Loss: 0.6404
Epoch [21/100], Step[175/526], Loss: 0.6559
Epoch [21/100], Step[176/526], Loss: 0.6312
Epoch [21/100], Step[177/526], Loss: 0.6512
Epoch [21/100], Step[178/526], Loss: 0.6949
Epoch [21/100], Step[179/526], Loss: 0.6340
Epoch [21/100], Step[180/526], Loss: 0.6807
Epoch [21/100], Step[181/526], Loss: 0.6351
Epoch [21/100], Step[182/526], Loss: 0.6778
Epoch [21/100], Step[183/526], Loss: 0.5268
Epoch [21/100], Step[184/526], Loss: 0.5889
Epoch [21/100], Step[185/526], Loss: 0.5888
Epoch [21/100], Step[186/526], Loss: 0.6394
Epoch [21/100], Step[187/526], Loss: 0.7449
Epoch [21/100], Step[188/526], Loss: 0.7078
Epoch [21/100], Step[189/526], Loss: 0.6776
Epoch [21/100], Step[190/526], Loss: 0.6324
Epoch [21/100], Step[191/526], Loss: 0.7373
Epoch [21/100], Step[192/526], Loss: 0.8225
Epoch [21/100], Step[193/526], Loss: 0.6538
Epoch [21/100], Step[194/526], Loss: 0.6273
Epoch [21/100], Step[195/526], Loss: 0.6497
Epoch [21/100], Step[196/526], Loss: 0.7374
Epoch [21/100], Step[197/526], Loss: 0.7177
Epoch [21/100], Step[198/526], Loss: 0.6318
Epoch [21/100], Step[199/526], Loss: 0.7300
Epoch [21/100], Step[200/526], Loss: 0.6626
Epoch [21/100], Step[201/526], Loss: 0.6791
Epoch [21/100], Step[202/526], Loss: 0.7464
Epoch [21/100], Step[203/526], Loss: 0.7059
Epoch [21/100], Step[204/526], Loss: 0.7372
Epoch [21/100], Step[205/526], Loss: 0.7061
Epoch [21/100], Step[206/526], Loss: 0.6814
Epoch [21/100], Step[207/526], Loss: 0.7071
Epoch [21/100], Step[208/526], Loss: 0.6815
Epoch [21/100], Step[209/526], Loss: 0.6807
Epoch [21/100], Step[210/526], Loss: 0.7752
Epoch [21/100], Step[211/526], Loss: 0.6451
Epoch [21/100], Step[212/526], Loss: 0.6873
Epoch [21/100], Step[213/526], Loss: 0.7139
Epoch [21/100], Step[214/526], Loss: 0.7473
Epoch [21/100], Step[215/526], Loss: 0.6921
Epoch [21/100], Step[216/526], Loss: 0.6814
Epoch [21/100], Step[217/526], Loss: 0.6726
Epoch [21/100], Step[218/526], Loss: 0.6977
Epoch [21/100], Step[219/526], Loss: 0.6994
Epoch [21/100], Step[220/526], Loss: 0.7304
Epoch [21/100], Step[221/526], Loss: 0.6946
Epoch [21/100], Step[222/526], Loss: 0.7459
Epoch [21/100], Step[223/526], Loss: 0.6763
Epoch [21/100], Step[224/526], Loss: 0.6844
Epoch [21/100], Step[225/526], Loss: 0.7257
Epoch [21/100], Step[226/526], Loss: 0.6817
Epoch [21/100], Step[227/526], Loss: 0.6768
Epoch [21/100], Step[228/526], Loss: 0.6687
Epoch [21/100], Step[229/526], Loss: 0.6859
Epoch [21/100], Step[230/526], Loss: 0.6593
Epoch [21/100], Step[231/526], Loss: 0.6674
Epoch [21/100], Step[232/526], Loss: 0.7103
Epoch [21/100], Step[233/526], Loss: 0.6897
Epoch [21/100], Step[234/526], Loss: 0.6824
Epoch [21/100], Step[235/526], Loss: 0.7026
Epoch [21/100], Step[236/526], Loss: 0.6876
Epoch [21/100], Step[237/526], Loss: 0.7213
Epoch [21/100], Step[238/526], Loss: 0.6904
Epoch [21/100], Step[239/526], Loss: 0.6718
Epoch [21/100], Step[240/526], Loss: 0.7214
Epoch [21/100], Step[241/526], Loss: 0.6948
Epoch [21/100], Step[242/526], Loss: 0.7086
Epoch [21/100], Step[243/526], Loss: 0.6656
Epoch [21/100], Step[244/526], Loss: 0.6487
Epoch [21/100], Step[245/526], Loss: 0.6442
Epoch [21/100], Step[246/526], Loss: 0.6670
Epoch [21/100], Step[247/526], Loss: 0.6254
Epoch [21/100], Step[248/526], Loss: 0.6538
Epoch [21/100], Step[249/526], Loss: 0.6635
Epoch [21/100], Step[250/526], Loss: 0.6792
Epoch [21/100], Step[251/526], Loss: 0.6989
Epoch [21/100], Step[252/526], Loss: 0.6960
Epoch [21/100], Step[253/526], Loss: 0.6312
Epoch [21/100], Step[254/526], Loss: 0.6667
Epoch [21/100], Step[255/526], Loss: 0.6049
Epoch [21/100], Step[256/526], Loss: 0.6875
Epoch [21/100], Step[257/526], Loss: 0.6646
Epoch [21/100], Step[258/526], Loss: 0.6443
Epoch [21/100], Step[259/526], Loss: 0.6859
Epoch [21/100], Step[260/526], Loss: 0.7253
Epoch [21/100], Step[261/526], Loss: 0.7462
Epoch [21/100], Step[262/526], Loss: 0.6794
Epoch [21/100], Step[263/526], Loss: 0.6651
Epoch [21/100], Step[264/526], Loss: 0.6453
Epoch [21/100], Step[265/526], Loss: 0.6383
Epoch [21/100], Step[266/526], Loss: 0.6280
Epoch [21/100], Step[267/526], Loss: 0.5021
Epoch [21/100], Step[268/526], Loss: 0.5640
Epoch [21/100], Step[269/526], Loss: 0.4770
Epoch [21/100], Step[270/526], Loss: 0.4190
Epoch [21/100], Step[271/526], Loss: 0.5314
Epoch [21/100], Step[272/526], Loss: 0.5456
Epoch [21/100], Step[273/526], Loss: 0.6273
Epoch [21/100], Step[274/526], Loss: 0.4575
Epoch [21/100], Step[275/526], Loss: 0.4379
Epoch [21/100], Step[276/526], Loss: 0.4836
Epoch [21/100], Step[277/526], Loss: 0.4447
Epoch [21/100], Step[278/526], Loss: 0.4652
Epoch [21/100], Step[279/526], Loss: 0.4142
Epoch [21/100], Step[280/526], Loss: 0.4517
Epoch [21/100], Step[281/526], Loss: 0.6150
Epoch [21/100], Step[282/526], Loss: 0.3751
Epoch [21/100], Step[283/526], Loss: 0.3651
Epoch [21/100], Step[284/526], Loss: 0.4037
Epoch [21/100], Step[285/526], Loss: 0.2892
Epoch [21/100], Step[286/526], Loss: 0.6858
Epoch [21/100], Step[287/526], Loss: 0.4804
Epoch [21/100], Step[288/526], Loss: 0.4387
Epoch [21/100], Step[289/526], Loss: 0.6049
Epoch [21/100], Step[290/526], Loss: 0.4271
Epoch [21/100], Step[291/526], Loss: 0.4853
Epoch [21/100], Step[292/526], Loss: 0.2593
Epoch [21/100], Step[293/526], Loss: 0.3142
Epoch [21/100], Step[294/526], Loss: 0.3300
Epoch [21/100], Step[295/526], Loss: 0.4179
Epoch [21/100], Step[296/526], Loss: 0.5994
Epoch [21/100], Step[297/526], Loss: 0.2847
Epoch [21/100], Step[298/526], Loss: 0.2968
Epoch [21/100], Step[299/526], Loss: 0.2658
Epoch [21/100], Step[300/526], Loss: 0.3259
Epoch [21/100], Step[301/526], Loss: 0.5918
Epoch [21/100], Step[302/526], Loss: 0.3082
Epoch [21/100], Step[303/526], Loss: 0.4975
Epoch [21/100], Step[304/526], Loss: 0.2677
Epoch [21/100], Step[305/526], Loss: 0.2709
Epoch [21/100], Step[306/526], Loss: 0.5726
Epoch [21/100], Step[307/526], Loss: 0.8860
Epoch [21/100], Step[308/526], Loss: 1.3066
Epoch [21/100], Step[309/526], Loss: 0.9069
Epoch [21/100], Step[310/526], Loss: 0.9690
Epoch [21/100], Step[311/526], Loss: 0.8261
Epoch [21/100], Step[312/526], Loss: 0.4937
Epoch [21/100], Step[313/526], Loss: 0.4831
Epoch [21/100], Step[314/526], Loss: 0.6553
Epoch [21/100], Step[315/526], Loss: 0.7089
Epoch [21/100], Step[316/526], Loss: 0.5043
Epoch [21/100], Step[317/526], Loss: 0.3105
Epoch [21/100], Step[318/526], Loss: 0.7423
Epoch [21/100], Step[319/526], Loss: 0.3568
Epoch [21/100], Step[320/526], Loss: 0.5698
Epoch [21/100], Step[321/526], Loss: 0.7434
Epoch [21/100], Step[322/526], Loss: 0.2706
Epoch [21/100], Step[323/526], Loss: 0.6022
Epoch [21/100], Step[324/526], Loss: 0.6708
Epoch [21/100], Step[325/526], Loss: 0.5691
Epoch [21/100], Step[326/526], Loss: 0.8025
Epoch [21/100], Step[327/526], Loss: 0.7270
Epoch [21/100], Step[328/526], Loss: 0.9091
Epoch [21/100], Step[329/526], Loss: 1.2546
Epoch [21/100], Step[330/526], Loss: 0.9872
Epoch [21/100], Step[331/526], Loss: 0.8278
Epoch [21/100], Step[332/526], Loss: 0.8752
Epoch [21/100], Step[333/526], Loss: 0.7811
Epoch [21/100], Step[334/526], Loss: 0.7919
Epoch [21/100], Step[335/526], Loss: 0.8486
Epoch [21/100], Step[336/526], Loss: 0.6969
Epoch [21/100], Step[337/526], Loss: 0.6088
Epoch [21/100], Step[338/526], Loss: 0.7128
Epoch [21/100], Step[339/526], Loss: 0.6582
Epoch [21/100], Step[340/526], Loss: 0.7387
Epoch [21/100], Step[341/526], Loss: 0.8083
Epoch [21/100], Step[342/526], Loss: 0.8036
Epoch [21/100], Step[343/526], Loss: 0.5537
Epoch [21/100], Step[344/526], Loss: 0.7470
Epoch [21/100], Step[345/526], Loss: 0.6524
Epoch [21/100], Step[346/526], Loss: 0.6828
Epoch [21/100], Step[347/526], Loss: 0.7007
Epoch [21/100], Step[348/526], Loss: 0.6460
Epoch [21/100], Step[349/526], Loss: 0.5764
Epoch [21/100], Step[350/526], Loss: 0.6828
Epoch [21/100], Step[351/526], Loss: 0.7221
Epoch [21/100], Step[352/526], Loss: 0.6147
Epoch [21/100], Step[353/526], Loss: 0.6945
Epoch [21/100], Step[354/526], Loss: 0.6705
Epoch [21/100], Step[355/526], Loss: 0.6768
Epoch [21/100], Step[356/526], Loss: 0.7067
Epoch [21/100], Step[357/526], Loss: 0.6592
Epoch [21/100], Step[358/526], Loss: 0.6957
Epoch [21/100], Step[359/526], Loss: 0.6597
Epoch [21/100], Step[360/526], Loss: 0.6728
Epoch [21/100], Step[361/526], Loss: 0.7418
Epoch [21/100], Step[362/526], Loss: 0.7056
Epoch [21/100], Step[363/526], Loss: 0.6908
Epoch [21/100], Step[364/526], Loss: 0.7200
Epoch [21/100], Step[365/526], Loss: 0.7208
Epoch [21/100], Step[366/526], Loss: 0.6850
Epoch [21/100], Step[367/526], Loss: 0.6856
Epoch [21/100], Step[368/526], Loss: 0.6529
Epoch [21/100], Step[369/526], Loss: 0.6614
Epoch [21/100], Step[370/526], Loss: 0.6304
Epoch [21/100], Step[371/526], Loss: 0.7367
Epoch [21/100], Step[372/526], Loss: 0.6487
Epoch [21/100], Step[373/526], Loss: 0.6806
Epoch [21/100], Step[374/526], Loss: 0.7012
Epoch [21/100], Step[375/526], Loss: 0.6534
Epoch [21/100], Step[376/526], Loss: 0.6475
Epoch [21/100], Step[377/526], Loss: 0.6828
Epoch [21/100], Step[378/526], Loss: 0.6969
Epoch [21/100], Step[379/526], Loss: 0.7316
Epoch [21/100], Step[380/526], Loss: 0.6114
Epoch [21/100], Step[381/526], Loss: 0.5995
Epoch [21/100], Step[382/526], Loss: 0.6729
Epoch [21/100], Step[383/526], Loss: 0.6855
Epoch [21/100], Step[384/526], Loss: 0.6386
Epoch [21/100], Step[385/526], Loss: 0.6267
Epoch [21/100], Step[386/526], Loss: 0.6616
Epoch [21/100], Step[387/526], Loss: 0.6580
Epoch [21/100], Step[388/526], Loss: 0.5975
Epoch [21/100], Step[389/526], Loss: 0.7175
Epoch [21/100], Step[390/526], Loss: 0.6023
Epoch [21/100], Step[391/526], Loss: 0.6472
Epoch [21/100], Step[392/526], Loss: 0.6996
Epoch [21/100], Step[393/526], Loss: 0.5933
Epoch [21/100], Step[394/526], Loss: 0.5166
Epoch [21/100], Step[395/526], Loss: 0.6296
Epoch [21/100], Step[396/526], Loss: 0.6304
Epoch [21/100], Step[397/526], Loss: 0.4809
Epoch [21/100], Step[398/526], Loss: 0.6005
Epoch [21/100], Step[399/526], Loss: 0.6598
Epoch [21/100], Step[400/526], Loss: 0.4784
Epoch [21/100], Step[401/526], Loss: 0.5862
Epoch [21/100], Step[402/526], Loss: 0.6279
Epoch [21/100], Step[403/526], Loss: 0.7128
Epoch [21/100], Step[404/526], Loss: 0.4849
Epoch [21/100], Step[405/526], Loss: 0.5100
Epoch [21/100], Step[406/526], Loss: 0.6366
Epoch [21/100], Step[407/526], Loss: 0.7402
Epoch [21/100], Step[408/526], Loss: 0.6503
Epoch [21/100], Step[409/526], Loss: 0.4544
Epoch [21/100], Step[410/526], Loss: 0.4825
Epoch [21/100], Step[411/526], Loss: 0.5334
Epoch [21/100], Step[412/526], Loss: 0.5871
Epoch [21/100], Step[413/526], Loss: 0.5913
Epoch [21/100], Step[414/526], Loss: 0.6294
Epoch [21/100], Step[415/526], Loss: 0.6091
Epoch [21/100], Step[416/526], Loss: 0.5390
Epoch [21/100], Step[417/526], Loss: 0.4657
Epoch [21/100], Step[418/526], Loss: 0.7541
Epoch [21/100], Step[419/526], Loss: 0.6921
Epoch [21/100], Step[420/526], Loss: 0.6815
Epoch [21/100], Step[421/526], Loss: 0.6325
Epoch [21/100], Step[422/526], Loss: 0.7891
Epoch [21/100], Step[423/526], Loss: 0.7064
Epoch [21/100], Step[424/526], Loss: 0.7429
Epoch [21/100], Step[425/526], Loss: 0.7123
Epoch [21/100], Step[426/526], Loss: 0.7686
Epoch [21/100], Step[427/526], Loss: 0.6920
Epoch [21/100], Step[428/526], Loss: 0.7074
Epoch [21/100], Step[429/526], Loss: 0.7403
Epoch [21/100], Step[430/526], Loss: 0.8066
Epoch [21/100], Step[431/526], Loss: 0.7116
Epoch [21/100], Step[432/526], Loss: 0.7325
Epoch [21/100], Step[433/526], Loss: 0.6833
Epoch [21/100], Step[434/526], Loss: 0.6211
Epoch [21/100], Step[435/526], Loss: 0.7870
Epoch [21/100], Step[436/526], Loss: 0.8007
Epoch [21/100], Step[437/526], Loss: 0.5265
Epoch [21/100], Step[438/526], Loss: 0.3696
Epoch [21/100], Step[439/526], Loss: 0.7416
Epoch [21/100], Step[440/526], Loss: 0.6827
Epoch [21/100], Step[441/526], Loss: 0.7099
Epoch [21/100], Step[442/526], Loss: 0.6395
Epoch [21/100], Step[443/526], Loss: 0.6703
Epoch [21/100], Step[444/526], Loss: 0.7612
Epoch [21/100], Step[445/526], Loss: 0.6963
Epoch [21/100], Step[446/526], Loss: 0.7211
Epoch [21/100], Step[447/526], Loss: 0.7197
Epoch [21/100], Step[448/526], Loss: 0.7410
Epoch [21/100], Step[449/526], Loss: 0.6987
Epoch [21/100], Step[450/526], Loss: 0.6058
Epoch [21/100], Step[451/526], Loss: 0.6437
Epoch [21/100], Step[452/526], Loss: 0.7325
Epoch [21/100], Step[453/526], Loss: 0.7223
Epoch [21/100], Step[454/526], Loss: 0.8022
Epoch [21/100], Step[455/526], Loss: 0.6610
Epoch [21/100], Step[456/526], Loss: 0.6368
Epoch [21/100], Step[457/526], Loss: 0.6934
Epoch [21/100], Step[458/526], Loss: 0.6647
Epoch [21/100], Step[459/526], Loss: 0.6661
Epoch [21/100], Step[460/526], Loss: 0.6471
Epoch [21/100], Step[461/526], Loss: 0.6231
Epoch [21/100], Step[462/526], Loss: 0.6700
Epoch [21/100], Step[463/526], Loss: 0.6541
Epoch [21/100], Step[464/526], Loss: 0.6537
Epoch [21/100], Step[465/526], Loss: 0.6628
Epoch [21/100], Step[466/526], Loss: 0.6630
Epoch [21/100], Step[467/526], Loss: 0.6485
Epoch [21/100], Step[468/526], Loss: 0.6347
Epoch [21/100], Step[469/526], Loss: 0.7955
Epoch [21/100], Step[470/526], Loss: 0.6628
Epoch [21/100], Step[471/526], Loss: 0.6987
Epoch [21/100], Step[472/526], Loss: 0.6758
Epoch [21/100], Step[473/526], Loss: 0.6787
Epoch [21/100], Step[474/526], Loss: 0.6717
Epoch [21/100], Step[475/526], Loss: 0.8044
Epoch [21/100], Step[476/526], Loss: 0.7513
Epoch [21/100], Step[477/526], Loss: 0.7017
Epoch [21/100], Step[478/526], Loss: 0.6979
Epoch [21/100], Step[479/526], Loss: 0.6669
Epoch [21/100], Step[480/526], Loss: 0.7378
Epoch [21/100], Step[481/526], Loss: 0.7095
Epoch [21/100], Step[482/526], Loss: 0.6290
Epoch [21/100], Step[483/526], Loss: 0.5647
Epoch [21/100], Step[484/526], Loss: 0.6929
Epoch [21/100], Step[485/526], Loss: 0.8027
Epoch [21/100], Step[486/526], Loss: 0.7155
Epoch [21/100], Step[487/526], Loss: 0.7454
Epoch [21/100], Step[488/526], Loss: 0.6912
Epoch [21/100], Step[489/526], Loss: 0.6383
Epoch [21/100], Step[490/526], Loss: 0.6170
Epoch [21/100], Step[491/526], Loss: 0.7002
Epoch [21/100], Step[492/526], Loss: 0.6615
Epoch [21/100], Step[493/526], Loss: 0.6542
Epoch [21/100], Step[494/526], Loss: 0.6560
Epoch [21/100], Step[495/526], Loss: 0.6873
Epoch [21/100], Step[496/526], Loss: 0.6701
Epoch [21/100], Step[497/526], Loss: 0.6413
Epoch [21/100], Step[498/526], Loss: 0.6788
Epoch [21/100], Step[499/526], Loss: 0.6765
Epoch [21/100], Step[500/526], Loss: 0.6786
Epoch [21/100], Step[501/526], Loss: 0.6586
Epoch [21/100], Step[502/526], Loss: 0.6962
Epoch [21/100], Step[503/526], Loss: 0.7077
Epoch [21/100], Step[504/526], Loss: 0.6947
Epoch [21/100], Step[505/526], Loss: 0.7067
Epoch [21/100], Step[506/526], Loss: 0.6862
Epoch [21/100], Step[507/526], Loss: 0.6768
Epoch [21/100], Step[508/526], Loss: 0.6998
Epoch [21/100], Step[509/526], Loss: 0.6607
Epoch [21/100], Step[510/526], Loss: 0.7010
Epoch [21/100], Step[511/526], Loss: 0.6448
Epoch [21/100], Step[512/526], Loss: 0.6751
Epoch [21/100], Step[513/526], Loss: 0.6491
Epoch [21/100], Step[514/526], Loss: 0.6519
Epoch [21/100], Step[515/526], Loss: 0.5854
Epoch [21/100], Step[516/526], Loss: 0.7438
Epoch [21/100], Step[517/526], Loss: 0.6930
Epoch [21/100], Step[518/526], Loss: 0.7354
Epoch [21/100], Step[519/526], Loss: 0.7138
Epoch [21/100], Step[520/526], Loss: 0.6747
Epoch [21/100], Step[521/526], Loss: 0.6680
Epoch [21/100], Step[522/526], Loss: 0.6133
Epoch [21/100], Step[523/526], Loss: 0.6443
Epoch [21/100], Step[524/526], Loss: 0.6449
Epoch [21/100], Step[525/526], Loss: 0.7376
Epoch [21/100], Step[526/526], Loss: 0.6990
Epoch [22/100], Step[1/526], Loss: 0.6613
Epoch [22/100], Step[2/526], Loss: 0.6488
Epoch [22/100], Step[3/526], Loss: 0.6759
Epoch [22/100], Step[4/526], Loss: 0.6381
Epoch [22/100], Step[5/526], Loss: 0.7333
Epoch [22/100], Step[6/526], Loss: 0.7333
Epoch [22/100], Step[7/526], Loss: 0.6970
Epoch [22/100], Step[8/526], Loss: 0.6808
Epoch [22/100], Step[9/526], Loss: 0.7063
Epoch [22/100], Step[10/526], Loss: 0.6797
Epoch [22/100], Step[11/526], Loss: 0.6665
Epoch [22/100], Step[12/526], Loss: 0.7186
Epoch [22/100], Step[13/526], Loss: 0.6384
Epoch [22/100], Step[14/526], Loss: 0.6630
Epoch [22/100], Step[15/526], Loss: 0.6882
Epoch [22/100], Step[16/526], Loss: 0.6984
Epoch [22/100], Step[17/526], Loss: 0.7013
Epoch [22/100], Step[18/526], Loss: 0.6927
Epoch [22/100], Step[19/526], Loss: 0.6691
Epoch [22/100], Step[20/526], Loss: 0.7125
Epoch [22/100], Step[21/526], Loss: 0.7432
Epoch [22/100], Step[22/526], Loss: 0.7286
Epoch [22/100], Step[23/526], Loss: 0.7346
Epoch [22/100], Step[24/526], Loss: 0.7120
Epoch [22/100], Step[25/526], Loss: 0.6924
Epoch [22/100], Step[26/526], Loss: 0.6415
Epoch [22/100], Step[27/526], Loss: 0.6889
Epoch [22/100], Step[28/526], Loss: 0.6911
Epoch [22/100], Step[29/526], Loss: 0.6630
Epoch [22/100], Step[30/526], Loss: 0.6936
Epoch [22/100], Step[31/526], Loss: 0.7032
Epoch [22/100], Step[32/526], Loss: 0.6704
Epoch [22/100], Step[33/526], Loss: 0.7113
Epoch [22/100], Step[34/526], Loss: 0.6905
Epoch [22/100], Step[35/526], Loss: 0.7089
Epoch [22/100], Step[36/526], Loss: 0.6957
Epoch [22/100], Step[37/526], Loss: 0.6926
Epoch [22/100], Step[38/526], Loss: 0.7019
Epoch [22/100], Step[39/526], Loss: 0.7033
Epoch [22/100], Step[40/526], Loss: 0.7240
Epoch [22/100], Step[41/526], Loss: 0.6556
Epoch [22/100], Step[42/526], Loss: 0.7259
Epoch [22/100], Step[43/526], Loss: 0.7168
Epoch [22/100], Step[44/526], Loss: 0.6864
Epoch [22/100], Step[45/526], Loss: 0.6855
Epoch [22/100], Step[46/526], Loss: 0.6882
Epoch [22/100], Step[47/526], Loss: 0.7082
Epoch [22/100], Step[48/526], Loss: 0.7215
Epoch [22/100], Step[49/526], Loss: 0.7055
Epoch [22/100], Step[50/526], Loss: 0.7150
Epoch [22/100], Step[51/526], Loss: 0.6975
Epoch [22/100], Step[52/526], Loss: 0.6776
Epoch [22/100], Step[53/526], Loss: 0.7206
Epoch [22/100], Step[54/526], Loss: 0.6983
Epoch [22/100], Step[55/526], Loss: 0.6912
Epoch [22/100], Step[56/526], Loss: 0.6980
Epoch [22/100], Step[57/526], Loss: 0.6853
Epoch [22/100], Step[58/526], Loss: 0.6749
Epoch [22/100], Step[59/526], Loss: 0.6631
Epoch [22/100], Step[60/526], Loss: 0.6710
Epoch [22/100], Step[61/526], Loss: 0.6467
Epoch [22/100], Step[62/526], Loss: 0.6942
Epoch [22/100], Step[63/526], Loss: 0.6852
Epoch [22/100], Step[64/526], Loss: 0.6800
Epoch [22/100], Step[65/526], Loss: 0.7219
Epoch [22/100], Step[66/526], Loss: 0.6832
Epoch [22/100], Step[67/526], Loss: 0.6672
Epoch [22/100], Step[68/526], Loss: 0.6526
Epoch [22/100], Step[69/526], Loss: 0.6990
Epoch [22/100], Step[70/526], Loss: 0.6841
Epoch [22/100], Step[71/526], Loss: 0.6616
Epoch [22/100], Step[72/526], Loss: 0.6756
Epoch [22/100], Step[73/526], Loss: 0.7088
Epoch [22/100], Step[74/526], Loss: 0.6640
Epoch [22/100], Step[75/526], Loss: 0.7075
Epoch [22/100], Step[76/526], Loss: 0.6961
Epoch [22/100], Step[77/526], Loss: 0.6896
Epoch [22/100], Step[78/526], Loss: 0.7076
Epoch [22/100], Step[79/526], Loss: 0.6963
Epoch [22/100], Step[80/526], Loss: 0.6961
Epoch [22/100], Step[81/526], Loss: 0.7047
Epoch [22/100], Step[82/526], Loss: 0.7305
Epoch [22/100], Step[83/526], Loss: 0.7104
Epoch [22/100], Step[84/526], Loss: 0.6971
Epoch [22/100], Step[85/526], Loss: 0.6643
Epoch [22/100], Step[86/526], Loss: 0.7079
Epoch [22/100], Step[87/526], Loss: 0.6791
Epoch [22/100], Step[88/526], Loss: 0.6889
Epoch [22/100], Step[89/526], Loss: 0.7192
Epoch [22/100], Step[90/526], Loss: 0.6869
Epoch [22/100], Step[91/526], Loss: 0.6789
Epoch [22/100], Step[92/526], Loss: 0.6771
Epoch [22/100], Step[93/526], Loss: 0.6838
Epoch [22/100], Step[94/526], Loss: 0.8013
Epoch [22/100], Step[95/526], Loss: 0.7149
Epoch [22/100], Step[96/526], Loss: 0.6304
Epoch [22/100], Step[97/526], Loss: 0.6004
Epoch [22/100], Step[98/526], Loss: 0.6977
Epoch [22/100], Step[99/526], Loss: 0.6827
Epoch [22/100], Step[100/526], Loss: 0.6759
Epoch [22/100], Step[101/526], Loss: 0.6584
Epoch [22/100], Step[102/526], Loss: 0.6270
Epoch [22/100], Step[103/526], Loss: 0.6782
Epoch [22/100], Step[104/526], Loss: 0.6443
Epoch [22/100], Step[105/526], Loss: 0.6450
Epoch [22/100], Step[106/526], Loss: 0.6904
Epoch [22/100], Step[107/526], Loss: 0.6441
Epoch [22/100], Step[108/526], Loss: 0.5864
Epoch [22/100], Step[109/526], Loss: 0.6796
Epoch [22/100], Step[110/526], Loss: 0.6889
Epoch [22/100], Step[111/526], Loss: 0.5924
Epoch [22/100], Step[112/526], Loss: 0.7368
Epoch [22/100], Step[113/526], Loss: 0.6087
Epoch [22/100], Step[114/526], Loss: 0.6578
Epoch [22/100], Step[115/526], Loss: 0.6098
Epoch [22/100], Step[116/526], Loss: 0.6258
Epoch [22/100], Step[117/526], Loss: 0.6506
Epoch [22/100], Step[118/526], Loss: 0.7499
Epoch [22/100], Step[119/526], Loss: 0.6777
Epoch [22/100], Step[120/526], Loss: 0.6767
Epoch [22/100], Step[121/526], Loss: 0.6977
Epoch [22/100], Step[122/526], Loss: 0.6327
Epoch [22/100], Step[123/526], Loss: 0.6503
Epoch [22/100], Step[124/526], Loss: 0.6758
Epoch [22/100], Step[125/526], Loss: 0.6400
Epoch [22/100], Step[126/526], Loss: 0.7155
Epoch [22/100], Step[127/526], Loss: 0.6719
Epoch [22/100], Step[128/526], Loss: 0.6463
Epoch [22/100], Step[129/526], Loss: 0.5964
Epoch [22/100], Step[130/526], Loss: 0.6131
Epoch [22/100], Step[131/526], Loss: 0.6781
Epoch [22/100], Step[132/526], Loss: 0.7250
Epoch [22/100], Step[133/526], Loss: 0.6761
Epoch [22/100], Step[134/526], Loss: 0.6289
Epoch [22/100], Step[135/526], Loss: 0.6475
Epoch [22/100], Step[136/526], Loss: 0.5728
Epoch [22/100], Step[137/526], Loss: 0.6317
Epoch [22/100], Step[138/526], Loss: 0.6553
Epoch [22/100], Step[139/526], Loss: 0.7113
Epoch [22/100], Step[140/526], Loss: 0.5946
Epoch [22/100], Step[141/526], Loss: 0.6836
Epoch [22/100], Step[142/526], Loss: 0.6666
Epoch [22/100], Step[143/526], Loss: 0.6889
Epoch [22/100], Step[144/526], Loss: 0.7778
Epoch [22/100], Step[145/526], Loss: 0.5618
Epoch [22/100], Step[146/526], Loss: 0.5142
Epoch [22/100], Step[147/526], Loss: 0.4699
Epoch [22/100], Step[148/526], Loss: 0.5883
Epoch [22/100], Step[149/526], Loss: 0.5056
Epoch [22/100], Step[150/526], Loss: 0.6143
Epoch [22/100], Step[151/526], Loss: 0.5676
Epoch [22/100], Step[152/526], Loss: 0.6251
Epoch [22/100], Step[153/526], Loss: 0.6353
Epoch [22/100], Step[154/526], Loss: 0.7328
Epoch [22/100], Step[155/526], Loss: 0.7151
Epoch [22/100], Step[156/526], Loss: 0.5240
Epoch [22/100], Step[157/526], Loss: 0.2881
Epoch [22/100], Step[158/526], Loss: 0.6036
Epoch [22/100], Step[159/526], Loss: 0.6682
Epoch [22/100], Step[160/526], Loss: 0.5562
Epoch [22/100], Step[161/526], Loss: 1.0274
Epoch [22/100], Step[162/526], Loss: 0.6896
Epoch [22/100], Step[163/526], Loss: 0.7219
Epoch [22/100], Step[164/526], Loss: 0.6199
Epoch [22/100], Step[165/526], Loss: 0.7314
Epoch [22/100], Step[166/526], Loss: 0.4951
Epoch [22/100], Step[167/526], Loss: 0.5282
Epoch [22/100], Step[168/526], Loss: 0.6871
Epoch [22/100], Step[169/526], Loss: 0.7524
Epoch [22/100], Step[170/526], Loss: 0.6975
Epoch [22/100], Step[171/526], Loss: 0.7211
Epoch [22/100], Step[172/526], Loss: 0.7244
Epoch [22/100], Step[173/526], Loss: 0.8089
Epoch [22/100], Step[174/526], Loss: 0.6321
Epoch [22/100], Step[175/526], Loss: 0.6568
Epoch [22/100], Step[176/526], Loss: 0.6358
Epoch [22/100], Step[177/526], Loss: 0.6537
Epoch [22/100], Step[178/526], Loss: 0.6992
Epoch [22/100], Step[179/526], Loss: 0.6383
Epoch [22/100], Step[180/526], Loss: 0.6801
Epoch [22/100], Step[181/526], Loss: 0.6366
Epoch [22/100], Step[182/526], Loss: 0.6851
Epoch [22/100], Step[183/526], Loss: 0.5256
Epoch [22/100], Step[184/526], Loss: 0.5943
Epoch [22/100], Step[185/526], Loss: 0.5850
Epoch [22/100], Step[186/526], Loss: 0.6518
Epoch [22/100], Step[187/526], Loss: 0.7414
Epoch [22/100], Step[188/526], Loss: 0.7043
Epoch [22/100], Step[189/526], Loss: 0.6825
Epoch [22/100], Step[190/526], Loss: 0.6132
Epoch [22/100], Step[191/526], Loss: 0.7271
Epoch [22/100], Step[192/526], Loss: 0.7908
Epoch [22/100], Step[193/526], Loss: 0.6556
Epoch [22/100], Step[194/526], Loss: 0.6225
Epoch [22/100], Step[195/526], Loss: 0.6513
Epoch [22/100], Step[196/526], Loss: 0.7298
Epoch [22/100], Step[197/526], Loss: 0.7084
Epoch [22/100], Step[198/526], Loss: 0.6317
Epoch [22/100], Step[199/526], Loss: 0.7300
Epoch [22/100], Step[200/526], Loss: 0.6644
Epoch [22/100], Step[201/526], Loss: 0.6789
Epoch [22/100], Step[202/526], Loss: 0.7480
Epoch [22/100], Step[203/526], Loss: 0.7067
Epoch [22/100], Step[204/526], Loss: 0.7393
Epoch [22/100], Step[205/526], Loss: 0.7071
Epoch [22/100], Step[206/526], Loss: 0.6817
Epoch [22/100], Step[207/526], Loss: 0.7077
Epoch [22/100], Step[208/526], Loss: 0.6807
Epoch [22/100], Step[209/526], Loss: 0.6812
Epoch [22/100], Step[210/526], Loss: 0.7778
Epoch [22/100], Step[211/526], Loss: 0.6442
Epoch [22/100], Step[212/526], Loss: 0.6872
Epoch [22/100], Step[213/526], Loss: 0.7149
Epoch [22/100], Step[214/526], Loss: 0.7484
Epoch [22/100], Step[215/526], Loss: 0.6924
Epoch [22/100], Step[216/526], Loss: 0.6812
Epoch [22/100], Step[217/526], Loss: 0.6736
Epoch [22/100], Step[218/526], Loss: 0.6981
Epoch [22/100], Step[219/526], Loss: 0.6996
Epoch [22/100], Step[220/526], Loss: 0.7308
Epoch [22/100], Step[221/526], Loss: 0.6950
Epoch [22/100], Step[222/526], Loss: 0.7473
Epoch [22/100], Step[223/526], Loss: 0.6776
Epoch [22/100], Step[224/526], Loss: 0.6839
Epoch [22/100], Step[225/526], Loss: 0.7261
Epoch [22/100], Step[226/526], Loss: 0.6820
Epoch [22/100], Step[227/526], Loss: 0.6761
Epoch [22/100], Step[228/526], Loss: 0.6683
Epoch [22/100], Step[229/526], Loss: 0.6865
Epoch [22/100], Step[230/526], Loss: 0.6595
Epoch [22/100], Step[231/526], Loss: 0.6676
Epoch [22/100], Step[232/526], Loss: 0.7105
Epoch [22/100], Step[233/526], Loss: 0.6885
Epoch [22/100], Step[234/526], Loss: 0.6828
Epoch [22/100], Step[235/526], Loss: 0.7037
Epoch [22/100], Step[236/526], Loss: 0.6880
Epoch [22/100], Step[237/526], Loss: 0.7203
Epoch [22/100], Step[238/526], Loss: 0.6909
Epoch [22/100], Step[239/526], Loss: 0.6729
Epoch [22/100], Step[240/526], Loss: 0.7219
Epoch [22/100], Step[241/526], Loss: 0.6965
Epoch [22/100], Step[242/526], Loss: 0.7098
Epoch [22/100], Step[243/526], Loss: 0.6580
Epoch [22/100], Step[244/526], Loss: 0.6494
Epoch [22/100], Step[245/526], Loss: 0.6438
Epoch [22/100], Step[246/526], Loss: 0.6664
Epoch [22/100], Step[247/526], Loss: 0.6261
Epoch [22/100], Step[248/526], Loss: 0.6541
Epoch [22/100], Step[249/526], Loss: 0.6637
Epoch [22/100], Step[250/526], Loss: 0.6788
Epoch [22/100], Step[251/526], Loss: 0.6987
Epoch [22/100], Step[252/526], Loss: 0.6952
Epoch [22/100], Step[253/526], Loss: 0.6318
Epoch [22/100], Step[254/526], Loss: 0.6663
Epoch [22/100], Step[255/526], Loss: 0.6050
Epoch [22/100], Step[256/526], Loss: 0.6879
Epoch [22/100], Step[257/526], Loss: 0.6657
Epoch [22/100], Step[258/526], Loss: 0.6433
Epoch [22/100], Step[259/526], Loss: 0.6866
Epoch [22/100], Step[260/526], Loss: 0.7267
Epoch [22/100], Step[261/526], Loss: 0.7481
Epoch [22/100], Step[262/526], Loss: 0.6800
Epoch [22/100], Step[263/526], Loss: 0.6640
Epoch [22/100], Step[264/526], Loss: 0.6455
Epoch [22/100], Step[265/526], Loss: 0.6397
Epoch [22/100], Step[266/526], Loss: 0.6310
Epoch [22/100], Step[267/526], Loss: 0.5035
Epoch [22/100], Step[268/526], Loss: 0.5619
Epoch [22/100], Step[269/526], Loss: 0.4749
Epoch [22/100], Step[270/526], Loss: 0.4149
Epoch [22/100], Step[271/526], Loss: 0.5288
Epoch [22/100], Step[272/526], Loss: 0.5430
Epoch [22/100], Step[273/526], Loss: 0.6273
Epoch [22/100], Step[274/526], Loss: 0.4553
Epoch [22/100], Step[275/526], Loss: 0.4374
Epoch [22/100], Step[276/526], Loss: 0.4822
Epoch [22/100], Step[277/526], Loss: 0.4444
Epoch [22/100], Step[278/526], Loss: 0.4652
Epoch [22/100], Step[279/526], Loss: 0.4137
Epoch [22/100], Step[280/526], Loss: 0.4512
Epoch [22/100], Step[281/526], Loss: 0.6147
Epoch [22/100], Step[282/526], Loss: 0.3736
Epoch [22/100], Step[283/526], Loss: 0.3646
Epoch [22/100], Step[284/526], Loss: 0.4036
Epoch [22/100], Step[285/526], Loss: 0.2891
Epoch [22/100], Step[286/526], Loss: 0.6838
Epoch [22/100], Step[287/526], Loss: 0.4804
Epoch [22/100], Step[288/526], Loss: 0.4384
Epoch [22/100], Step[289/526], Loss: 0.6045
Epoch [22/100], Step[290/526], Loss: 0.4265
Epoch [22/100], Step[291/526], Loss: 0.4843
Epoch [22/100], Step[292/526], Loss: 0.2579
Epoch [22/100], Step[293/526], Loss: 0.3140
Epoch [22/100], Step[294/526], Loss: 0.3302
Epoch [22/100], Step[295/526], Loss: 0.4197
Epoch [22/100], Step[296/526], Loss: 0.6013
Epoch [22/100], Step[297/526], Loss: 0.2835
Epoch [22/100], Step[298/526], Loss: 0.2938
Epoch [22/100], Step[299/526], Loss: 0.2623
Epoch [22/100], Step[300/526], Loss: 0.3219
Epoch [22/100], Step[301/526], Loss: 0.5923
Epoch [22/100], Step[302/526], Loss: 0.3103
Epoch [22/100], Step[303/526], Loss: 0.4915
Epoch [22/100], Step[304/526], Loss: 0.2640
Epoch [22/100], Step[305/526], Loss: 0.2687
Epoch [22/100], Step[306/526], Loss: 0.5718
Epoch [22/100], Step[307/526], Loss: 0.8875
Epoch [22/100], Step[308/526], Loss: 1.3102
Epoch [22/100], Step[309/526], Loss: 0.8941
Epoch [22/100], Step[310/526], Loss: 0.9690
Epoch [22/100], Step[311/526], Loss: 0.8253
Epoch [22/100], Step[312/526], Loss: 0.4929
Epoch [22/100], Step[313/526], Loss: 0.4832
Epoch [22/100], Step[314/526], Loss: 0.6548
Epoch [22/100], Step[315/526], Loss: 0.7066
Epoch [22/100], Step[316/526], Loss: 0.5036
Epoch [22/100], Step[317/526], Loss: 0.3099
Epoch [22/100], Step[318/526], Loss: 0.7411
Epoch [22/100], Step[319/526], Loss: 0.3567
Epoch [22/100], Step[320/526], Loss: 0.5683
Epoch [22/100], Step[321/526], Loss: 0.7463
Epoch [22/100], Step[322/526], Loss: 0.2715
Epoch [22/100], Step[323/526], Loss: 0.6029
Epoch [22/100], Step[324/526], Loss: 0.6701
Epoch [22/100], Step[325/526], Loss: 0.5658
Epoch [22/100], Step[326/526], Loss: 0.8007
Epoch [22/100], Step[327/526], Loss: 0.7261
Epoch [22/100], Step[328/526], Loss: 0.9093
Epoch [22/100], Step[329/526], Loss: 1.2521
Epoch [22/100], Step[330/526], Loss: 0.9936
Epoch [22/100], Step[331/526], Loss: 0.8279
Epoch [22/100], Step[332/526], Loss: 0.8802
Epoch [22/100], Step[333/526], Loss: 0.7824
Epoch [22/100], Step[334/526], Loss: 0.7914
Epoch [22/100], Step[335/526], Loss: 0.8499
Epoch [22/100], Step[336/526], Loss: 0.6992
Epoch [22/100], Step[337/526], Loss: 0.6111
Epoch [22/100], Step[338/526], Loss: 0.7115
Epoch [22/100], Step[339/526], Loss: 0.6584
Epoch [22/100], Step[340/526], Loss: 0.7399
Epoch [22/100], Step[341/526], Loss: 0.8105
Epoch [22/100], Step[342/526], Loss: 0.8033
Epoch [22/100], Step[343/526], Loss: 0.5533
Epoch [22/100], Step[344/526], Loss: 0.7476
Epoch [22/100], Step[345/526], Loss: 0.6509
Epoch [22/100], Step[346/526], Loss: 0.6792
Epoch [22/100], Step[347/526], Loss: 0.7012
Epoch [22/100], Step[348/526], Loss: 0.6460
Epoch [22/100], Step[349/526], Loss: 0.5769
Epoch [22/100], Step[350/526], Loss: 0.6817
Epoch [22/100], Step[351/526], Loss: 0.7215
Epoch [22/100], Step[352/526], Loss: 0.6126
Epoch [22/100], Step[353/526], Loss: 0.6933
Epoch [22/100], Step[354/526], Loss: 0.6704
Epoch [22/100], Step[355/526], Loss: 0.6767
Epoch [22/100], Step[356/526], Loss: 0.7046
Epoch [22/100], Step[357/526], Loss: 0.6602
Epoch [22/100], Step[358/526], Loss: 0.6969
Epoch [22/100], Step[359/526], Loss: 0.6612
Epoch [22/100], Step[360/526], Loss: 0.6735
Epoch [22/100], Step[361/526], Loss: 0.7429
Epoch [22/100], Step[362/526], Loss: 0.7052
Epoch [22/100], Step[363/526], Loss: 0.6909
Epoch [22/100], Step[364/526], Loss: 0.7198
Epoch [22/100], Step[365/526], Loss: 0.7210
Epoch [22/100], Step[366/526], Loss: 0.6850
Epoch [22/100], Step[367/526], Loss: 0.6854
Epoch [22/100], Step[368/526], Loss: 0.6520
Epoch [22/100], Step[369/526], Loss: 0.6609
Epoch [22/100], Step[370/526], Loss: 0.6397
Epoch [22/100], Step[371/526], Loss: 0.7359
Epoch [22/100], Step[372/526], Loss: 0.6485
Epoch [22/100], Step[373/526], Loss: 0.6795
Epoch [22/100], Step[374/526], Loss: 0.7010
Epoch [22/100], Step[375/526], Loss: 0.6524
Epoch [22/100], Step[376/526], Loss: 0.6423
Epoch [22/100], Step[377/526], Loss: 0.6815
Epoch [22/100], Step[378/526], Loss: 0.6967
Epoch [22/100], Step[379/526], Loss: 0.7340
Epoch [22/100], Step[380/526], Loss: 0.6112
Epoch [22/100], Step[381/526], Loss: 0.5981
Epoch [22/100], Step[382/526], Loss: 0.6718
Epoch [22/100], Step[383/526], Loss: 0.6957
Epoch [22/100], Step[384/526], Loss: 0.6387
Epoch [22/100], Step[385/526], Loss: 0.6273
Epoch [22/100], Step[386/526], Loss: 0.6601
Epoch [22/100], Step[387/526], Loss: 0.6565
Epoch [22/100], Step[388/526], Loss: 0.5954
Epoch [22/100], Step[389/526], Loss: 0.7205
Epoch [22/100], Step[390/526], Loss: 0.5936
Epoch [22/100], Step[391/526], Loss: 0.6477
Epoch [22/100], Step[392/526], Loss: 0.6997
Epoch [22/100], Step[393/526], Loss: 0.5913
Epoch [22/100], Step[394/526], Loss: 0.5155
Epoch [22/100], Step[395/526], Loss: 0.6261
Epoch [22/100], Step[396/526], Loss: 0.6319
Epoch [22/100], Step[397/526], Loss: 0.4789
Epoch [22/100], Step[398/526], Loss: 0.6006
Epoch [22/100], Step[399/526], Loss: 0.6592
Epoch [22/100], Step[400/526], Loss: 0.4771
Epoch [22/100], Step[401/526], Loss: 0.5877
Epoch [22/100], Step[402/526], Loss: 0.6254
Epoch [22/100], Step[403/526], Loss: 0.7113
Epoch [22/100], Step[404/526], Loss: 0.4851
Epoch [22/100], Step[405/526], Loss: 0.5042
Epoch [22/100], Step[406/526], Loss: 0.6381
Epoch [22/100], Step[407/526], Loss: 0.7543
Epoch [22/100], Step[408/526], Loss: 0.6459
Epoch [22/100], Step[409/526], Loss: 0.4525
Epoch [22/100], Step[410/526], Loss: 0.4831
Epoch [22/100], Step[411/526], Loss: 0.5295
Epoch [22/100], Step[412/526], Loss: 0.5838
Epoch [22/100], Step[413/526], Loss: 0.5918
Epoch [22/100], Step[414/526], Loss: 0.6302
Epoch [22/100], Step[415/526], Loss: 0.6051
Epoch [22/100], Step[416/526], Loss: 0.5401
Epoch [22/100], Step[417/526], Loss: 0.4599
Epoch [22/100], Step[418/526], Loss: 0.8311
Epoch [22/100], Step[419/526], Loss: 0.6830
Epoch [22/100], Step[420/526], Loss: 0.7108
Epoch [22/100], Step[421/526], Loss: 0.6337
Epoch [22/100], Step[422/526], Loss: 0.7859
Epoch [22/100], Step[423/526], Loss: 0.7022
Epoch [22/100], Step[424/526], Loss: 0.7354
Epoch [22/100], Step[425/526], Loss: 0.7119
Epoch [22/100], Step[426/526], Loss: 0.7605
Epoch [22/100], Step[427/526], Loss: 0.6873
Epoch [22/100], Step[428/526], Loss: 0.7084
Epoch [22/100], Step[429/526], Loss: 0.7318
Epoch [22/100], Step[430/526], Loss: 0.7911
Epoch [22/100], Step[431/526], Loss: 0.7131
Epoch [22/100], Step[432/526], Loss: 0.7305
Epoch [22/100], Step[433/526], Loss: 0.6831
Epoch [22/100], Step[434/526], Loss: 0.6220
Epoch [22/100], Step[435/526], Loss: 0.7854
Epoch [22/100], Step[436/526], Loss: 0.7966
Epoch [22/100], Step[437/526], Loss: 0.5279
Epoch [22/100], Step[438/526], Loss: 0.3718
Epoch [22/100], Step[439/526], Loss: 0.7389
Epoch [22/100], Step[440/526], Loss: 0.6871
Epoch [22/100], Step[441/526], Loss: 0.7065
Epoch [22/100], Step[442/526], Loss: 0.6397
Epoch [22/100], Step[443/526], Loss: 0.6699
Epoch [22/100], Step[444/526], Loss: 0.7605
Epoch [22/100], Step[445/526], Loss: 0.6972
Epoch [22/100], Step[446/526], Loss: 0.7217
Epoch [22/100], Step[447/526], Loss: 0.7199
Epoch [22/100], Step[448/526], Loss: 0.7411
Epoch [22/100], Step[449/526], Loss: 0.6986
Epoch [22/100], Step[450/526], Loss: 0.6034
Epoch [22/100], Step[451/526], Loss: 0.6432
Epoch [22/100], Step[452/526], Loss: 0.7320
Epoch [22/100], Step[453/526], Loss: 0.7245
Epoch [22/100], Step[454/526], Loss: 0.8021
Epoch [22/100], Step[455/526], Loss: 0.6626
Epoch [22/100], Step[456/526], Loss: 0.6357
Epoch [22/100], Step[457/526], Loss: 0.6971
Epoch [22/100], Step[458/526], Loss: 0.6691
Epoch [22/100], Step[459/526], Loss: 0.6646
Epoch [22/100], Step[460/526], Loss: 0.6463
Epoch [22/100], Step[461/526], Loss: 0.6211
Epoch [22/100], Step[462/526], Loss: 0.6692
Epoch [22/100], Step[463/526], Loss: 0.6519
Epoch [22/100], Step[464/526], Loss: 0.6508
Epoch [22/100], Step[465/526], Loss: 0.6608
Epoch [22/100], Step[466/526], Loss: 0.6603
Epoch [22/100], Step[467/526], Loss: 0.6485
Epoch [22/100], Step[468/526], Loss: 0.6325
Epoch [22/100], Step[469/526], Loss: 0.7982
Epoch [22/100], Step[470/526], Loss: 0.6621
Epoch [22/100], Step[471/526], Loss: 0.6993
Epoch [22/100], Step[472/526], Loss: 0.6748
Epoch [22/100], Step[473/526], Loss: 0.6776
Epoch [22/100], Step[474/526], Loss: 0.6716
Epoch [22/100], Step[475/526], Loss: 0.8041
Epoch [22/100], Step[476/526], Loss: 0.7542
Epoch [22/100], Step[477/526], Loss: 0.7024
Epoch [22/100], Step[478/526], Loss: 0.6990
Epoch [22/100], Step[479/526], Loss: 0.6670
Epoch [22/100], Step[480/526], Loss: 0.7384
Epoch [22/100], Step[481/526], Loss: 0.7093
Epoch [22/100], Step[482/526], Loss: 0.6270
Epoch [22/100], Step[483/526], Loss: 0.5608
Epoch [22/100], Step[484/526], Loss: 0.6908
Epoch [22/100], Step[485/526], Loss: 0.8024
Epoch [22/100], Step[486/526], Loss: 0.7148
Epoch [22/100], Step[487/526], Loss: 0.7424
Epoch [22/100], Step[488/526], Loss: 0.6912
Epoch [22/100], Step[489/526], Loss: 0.6403
Epoch [22/100], Step[490/526], Loss: 0.6142
Epoch [22/100], Step[491/526], Loss: 0.6965
Epoch [22/100], Step[492/526], Loss: 0.6625
Epoch [22/100], Step[493/526], Loss: 0.6535
Epoch [22/100], Step[494/526], Loss: 0.6554
Epoch [22/100], Step[495/526], Loss: 0.6873
Epoch [22/100], Step[496/526], Loss: 0.6689
Epoch [22/100], Step[497/526], Loss: 0.6402
Epoch [22/100], Step[498/526], Loss: 0.6791
Epoch [22/100], Step[499/526], Loss: 0.6756
Epoch [22/100], Step[500/526], Loss: 0.6771
Epoch [22/100], Step[501/526], Loss: 0.6587
Epoch [22/100], Step[502/526], Loss: 0.6962
Epoch [22/100], Step[503/526], Loss: 0.7078
Epoch [22/100], Step[504/526], Loss: 0.6937
Epoch [22/100], Step[505/526], Loss: 0.7066
Epoch [22/100], Step[506/526], Loss: 0.6871
Epoch [22/100], Step[507/526], Loss: 0.6762
Epoch [22/100], Step[508/526], Loss: 0.7004
Epoch [22/100], Step[509/526], Loss: 0.6607
Epoch [22/100], Step[510/526], Loss: 0.7019
Epoch [22/100], Step[511/526], Loss: 0.6440
Epoch [22/100], Step[512/526], Loss: 0.6743
Epoch [22/100], Step[513/526], Loss: 0.6499
Epoch [22/100], Step[514/526], Loss: 0.6508
Epoch [22/100], Step[515/526], Loss: 0.5843
Epoch [22/100], Step[516/526], Loss: 0.7442
Epoch [22/100], Step[517/526], Loss: 0.6927
Epoch [22/100], Step[518/526], Loss: 0.7349
Epoch [22/100], Step[519/526], Loss: 0.7144
Epoch [22/100], Step[520/526], Loss: 0.6756
Epoch [22/100], Step[521/526], Loss: 0.6666
Epoch [22/100], Step[522/526], Loss: 0.6136
Epoch [22/100], Step[523/526], Loss: 0.6449
Epoch [22/100], Step[524/526], Loss: 0.6460
Epoch [22/100], Step[525/526], Loss: 0.7390
Epoch [22/100], Step[526/526], Loss: 0.6968
Epoch [23/100], Step[1/526], Loss: 0.6602
Epoch [23/100], Step[2/526], Loss: 0.6479
Epoch [23/100], Step[3/526], Loss: 0.6764
Epoch [23/100], Step[4/526], Loss: 0.6376
Epoch [23/100], Step[5/526], Loss: 0.7334
Epoch [23/100], Step[6/526], Loss: 0.7342
Epoch [23/100], Step[7/526], Loss: 0.6969
Epoch [23/100], Step[8/526], Loss: 0.6812
Epoch [23/100], Step[9/526], Loss: 0.7074
Epoch [23/100], Step[10/526], Loss: 0.6795
Epoch [23/100], Step[11/526], Loss: 0.6650
Epoch [23/100], Step[12/526], Loss: 0.7191
Epoch [23/100], Step[13/526], Loss: 0.6384
Epoch [23/100], Step[14/526], Loss: 0.6644
Epoch [23/100], Step[15/526], Loss: 0.6882
Epoch [23/100], Step[16/526], Loss: 0.6997
Epoch [23/100], Step[17/526], Loss: 0.7011
Epoch [23/100], Step[18/526], Loss: 0.7006
Epoch [23/100], Step[19/526], Loss: 0.6725
Epoch [23/100], Step[20/526], Loss: 0.7137
Epoch [23/100], Step[21/526], Loss: 0.7425
Epoch [23/100], Step[22/526], Loss: 0.7261
Epoch [23/100], Step[23/526], Loss: 0.7358
Epoch [23/100], Step[24/526], Loss: 0.7127
Epoch [23/100], Step[25/526], Loss: 0.6924
Epoch [23/100], Step[26/526], Loss: 0.6422
Epoch [23/100], Step[27/526], Loss: 0.6898
Epoch [23/100], Step[28/526], Loss: 0.6910
Epoch [23/100], Step[29/526], Loss: 0.6628
Epoch [23/100], Step[30/526], Loss: 0.6929
Epoch [23/100], Step[31/526], Loss: 0.7035
Epoch [23/100], Step[32/526], Loss: 0.6711
Epoch [23/100], Step[33/526], Loss: 0.7110
Epoch [23/100], Step[34/526], Loss: 0.6912
Epoch [23/100], Step[35/526], Loss: 0.7090
Epoch [23/100], Step[36/526], Loss: 0.6975
Epoch [23/100], Step[37/526], Loss: 0.6928
Epoch [23/100], Step[38/526], Loss: 0.7016
Epoch [23/100], Step[39/526], Loss: 0.7026
Epoch [23/100], Step[40/526], Loss: 0.7249
Epoch [23/100], Step[41/526], Loss: 0.6567
Epoch [23/100], Step[42/526], Loss: 0.7258
Epoch [23/100], Step[43/526], Loss: 0.7172
Epoch [23/100], Step[44/526], Loss: 0.6860
Epoch [23/100], Step[45/526], Loss: 0.6854
Epoch [23/100], Step[46/526], Loss: 0.6875
Epoch [23/100], Step[47/526], Loss: 0.7074
Epoch [23/100], Step[48/526], Loss: 0.7213
Epoch [23/100], Step[49/526], Loss: 0.7047
Epoch [23/100], Step[50/526], Loss: 0.7140
Epoch [23/100], Step[51/526], Loss: 0.6978
Epoch [23/100], Step[52/526], Loss: 0.6789
Epoch [23/100], Step[53/526], Loss: 0.7203
Epoch [23/100], Step[54/526], Loss: 0.6995
Epoch [23/100], Step[55/526], Loss: 0.6912
Epoch [23/100], Step[56/526], Loss: 0.6983
Epoch [23/100], Step[57/526], Loss: 0.6846
Epoch [23/100], Step[58/526], Loss: 0.6751
Epoch [23/100], Step[59/526], Loss: 0.6642
Epoch [23/100], Step[60/526], Loss: 0.6707
Epoch [23/100], Step[61/526], Loss: 0.6474
Epoch [23/100], Step[62/526], Loss: 0.6945
Epoch [23/100], Step[63/526], Loss: 0.6849
Epoch [23/100], Step[64/526], Loss: 0.6801
Epoch [23/100], Step[65/526], Loss: 0.7208
Epoch [23/100], Step[66/526], Loss: 0.6830
Epoch [23/100], Step[67/526], Loss: 0.6666
Epoch [23/100], Step[68/526], Loss: 0.6523
Epoch [23/100], Step[69/526], Loss: 0.6986
Epoch [23/100], Step[70/526], Loss: 0.6847
Epoch [23/100], Step[71/526], Loss: 0.6619
Epoch [23/100], Step[72/526], Loss: 0.6761
Epoch [23/100], Step[73/526], Loss: 0.7089
Epoch [23/100], Step[74/526], Loss: 0.6639
Epoch [23/100], Step[75/526], Loss: 0.7076
Epoch [23/100], Step[76/526], Loss: 0.6950
Epoch [23/100], Step[77/526], Loss: 0.6896
Epoch [23/100], Step[78/526], Loss: 0.7080
Epoch [23/100], Step[79/526], Loss: 0.6956
Epoch [23/100], Step[80/526], Loss: 0.6959
Epoch [23/100], Step[81/526], Loss: 0.7036
Epoch [23/100], Step[82/526], Loss: 0.7300
Epoch [23/100], Step[83/526], Loss: 0.7107
Epoch [23/100], Step[84/526], Loss: 0.6962
Epoch [23/100], Step[85/526], Loss: 0.6642
Epoch [23/100], Step[86/526], Loss: 0.7078
Epoch [23/100], Step[87/526], Loss: 0.6789
Epoch [23/100], Step[88/526], Loss: 0.6887
Epoch [23/100], Step[89/526], Loss: 0.7188
Epoch [23/100], Step[90/526], Loss: 0.6870
Epoch [23/100], Step[91/526], Loss: 0.6774
Epoch [23/100], Step[92/526], Loss: 0.6771
Epoch [23/100], Step[93/526], Loss: 0.6824
Epoch [23/100], Step[94/526], Loss: 0.8005
Epoch [23/100], Step[95/526], Loss: 0.7153
Epoch [23/100], Step[96/526], Loss: 0.6311
Epoch [23/100], Step[97/526], Loss: 0.6007
Epoch [23/100], Step[98/526], Loss: 0.6971
Epoch [23/100], Step[99/526], Loss: 0.6839
Epoch [23/100], Step[100/526], Loss: 0.6758
Epoch [23/100], Step[101/526], Loss: 0.6581
Epoch [23/100], Step[102/526], Loss: 0.6257
Epoch [23/100], Step[103/526], Loss: 0.6752
Epoch [23/100], Step[104/526], Loss: 0.6419
Epoch [23/100], Step[105/526], Loss: 0.6446
Epoch [23/100], Step[106/526], Loss: 0.6885
Epoch [23/100], Step[107/526], Loss: 0.6452
Epoch [23/100], Step[108/526], Loss: 0.5878
Epoch [23/100], Step[109/526], Loss: 0.6802
Epoch [23/100], Step[110/526], Loss: 0.6922
Epoch [23/100], Step[111/526], Loss: 0.5919
Epoch [23/100], Step[112/526], Loss: 0.7368
Epoch [23/100], Step[113/526], Loss: 0.6095
Epoch [23/100], Step[114/526], Loss: 0.6596
Epoch [23/100], Step[115/526], Loss: 0.6103
Epoch [23/100], Step[116/526], Loss: 0.6243
Epoch [23/100], Step[117/526], Loss: 0.6494
Epoch [23/100], Step[118/526], Loss: 0.7497
Epoch [23/100], Step[119/526], Loss: 0.6757
Epoch [23/100], Step[120/526], Loss: 0.6750
Epoch [23/100], Step[121/526], Loss: 0.6943
Epoch [23/100], Step[122/526], Loss: 0.6338
Epoch [23/100], Step[123/526], Loss: 0.6516
Epoch [23/100], Step[124/526], Loss: 0.6750
Epoch [23/100], Step[125/526], Loss: 0.6386
Epoch [23/100], Step[126/526], Loss: 0.7133
Epoch [23/100], Step[127/526], Loss: 0.6723
Epoch [23/100], Step[128/526], Loss: 0.6439
Epoch [23/100], Step[129/526], Loss: 0.5925
Epoch [23/100], Step[130/526], Loss: 0.6066
Epoch [23/100], Step[131/526], Loss: 0.6794
Epoch [23/100], Step[132/526], Loss: 0.7255
Epoch [23/100], Step[133/526], Loss: 0.6770
Epoch [23/100], Step[134/526], Loss: 0.6284
Epoch [23/100], Step[135/526], Loss: 0.6489
Epoch [23/100], Step[136/526], Loss: 0.5700
Epoch [23/100], Step[137/526], Loss: 0.6346
Epoch [23/100], Step[138/526], Loss: 0.6539
Epoch [23/100], Step[139/526], Loss: 0.7116
Epoch [23/100], Step[140/526], Loss: 0.5927
Epoch [23/100], Step[141/526], Loss: 0.6840
Epoch [23/100], Step[142/526], Loss: 0.6660
Epoch [23/100], Step[143/526], Loss: 0.6889
Epoch [23/100], Step[144/526], Loss: 0.7783
Epoch [23/100], Step[145/526], Loss: 0.5595
Epoch [23/100], Step[146/526], Loss: 0.5149
Epoch [23/100], Step[147/526], Loss: 0.4702
Epoch [23/100], Step[148/526], Loss: 0.5912
Epoch [23/100], Step[149/526], Loss: 0.5056
Epoch [23/100], Step[150/526], Loss: 0.6133
Epoch [23/100], Step[151/526], Loss: 0.5672
Epoch [23/100], Step[152/526], Loss: 0.6258
Epoch [23/100], Step[153/526], Loss: 0.6355
Epoch [23/100], Step[154/526], Loss: 0.7321
Epoch [23/100], Step[155/526], Loss: 0.7152
Epoch [23/100], Step[156/526], Loss: 0.5272
Epoch [23/100], Step[157/526], Loss: 0.2904
Epoch [23/100], Step[158/526], Loss: 0.6056
Epoch [23/100], Step[159/526], Loss: 0.6715
Epoch [23/100], Step[160/526], Loss: 0.5547
Epoch [23/100], Step[161/526], Loss: 1.0197
Epoch [23/100], Step[162/526], Loss: 0.6899
Epoch [23/100], Step[163/526], Loss: 0.7207
Epoch [23/100], Step[164/526], Loss: 0.6186
Epoch [23/100], Step[165/526], Loss: 0.7287
Epoch [23/100], Step[166/526], Loss: 0.4969
Epoch [23/100], Step[167/526], Loss: 0.5304
Epoch [23/100], Step[168/526], Loss: 0.6870
Epoch [23/100], Step[169/526], Loss: 0.7528
Epoch [23/100], Step[170/526], Loss: 0.6985
Epoch [23/100], Step[171/526], Loss: 0.7225
Epoch [23/100], Step[172/526], Loss: 0.7221
Epoch [23/100], Step[173/526], Loss: 0.8086
Epoch [23/100], Step[174/526], Loss: 0.6315
Epoch [23/100], Step[175/526], Loss: 0.6576
Epoch [23/100], Step[176/526], Loss: 0.6344
Epoch [23/100], Step[177/526], Loss: 0.6532
Epoch [23/100], Step[178/526], Loss: 0.6965
Epoch [23/100], Step[179/526], Loss: 0.6373
Epoch [23/100], Step[180/526], Loss: 0.6792
Epoch [23/100], Step[181/526], Loss: 0.6367
Epoch [23/100], Step[182/526], Loss: 0.6814
Epoch [23/100], Step[183/526], Loss: 0.5266
Epoch [23/100], Step[184/526], Loss: 0.5920
Epoch [23/100], Step[185/526], Loss: 0.5871
Epoch [23/100], Step[186/526], Loss: 0.6443
Epoch [23/100], Step[187/526], Loss: 0.7384
Epoch [23/100], Step[188/526], Loss: 0.7042
Epoch [23/100], Step[189/526], Loss: 0.6763
Epoch [23/100], Step[190/526], Loss: 0.6221
Epoch [23/100], Step[191/526], Loss: 0.7267
Epoch [23/100], Step[192/526], Loss: 0.8041
Epoch [23/100], Step[193/526], Loss: 0.6545
Epoch [23/100], Step[194/526], Loss: 0.6275
Epoch [23/100], Step[195/526], Loss: 0.6486
Epoch [23/100], Step[196/526], Loss: 0.7310
Epoch [23/100], Step[197/526], Loss: 0.7148
Epoch [23/100], Step[198/526], Loss: 0.6319
Epoch [23/100], Step[199/526], Loss: 0.7341
Epoch [23/100], Step[200/526], Loss: 0.6670
Epoch [23/100], Step[201/526], Loss: 0.6785
Epoch [23/100], Step[202/526], Loss: 0.7461
Epoch [23/100], Step[203/526], Loss: 0.7061
Epoch [23/100], Step[204/526], Loss: 0.7334
Epoch [23/100], Step[205/526], Loss: 0.7064
Epoch [23/100], Step[206/526], Loss: 0.6814
Epoch [23/100], Step[207/526], Loss: 0.7072
Epoch [23/100], Step[208/526], Loss: 0.6806
Epoch [23/100], Step[209/526], Loss: 0.6816
Epoch [23/100], Step[210/526], Loss: 0.7767
Epoch [23/100], Step[211/526], Loss: 0.6445
Epoch [23/100], Step[212/526], Loss: 0.6871
Epoch [23/100], Step[213/526], Loss: 0.7149
Epoch [23/100], Step[214/526], Loss: 0.7478
Epoch [23/100], Step[215/526], Loss: 0.6918
Epoch [23/100], Step[216/526], Loss: 0.6808
Epoch [23/100], Step[217/526], Loss: 0.6730
Epoch [23/100], Step[218/526], Loss: 0.6982
Epoch [23/100], Step[219/526], Loss: 0.6992
Epoch [23/100], Step[220/526], Loss: 0.7305
Epoch [23/100], Step[221/526], Loss: 0.6938
Epoch [23/100], Step[222/526], Loss: 0.7480
Epoch [23/100], Step[223/526], Loss: 0.6776
Epoch [23/100], Step[224/526], Loss: 0.6842
Epoch [23/100], Step[225/526], Loss: 0.7259
Epoch [23/100], Step[226/526], Loss: 0.6822
Epoch [23/100], Step[227/526], Loss: 0.6766
Epoch [23/100], Step[228/526], Loss: 0.6696
Epoch [23/100], Step[229/526], Loss: 0.6870
Epoch [23/100], Step[230/526], Loss: 0.6607
Epoch [23/100], Step[231/526], Loss: 0.6676
Epoch [23/100], Step[232/526], Loss: 0.7088
Epoch [23/100], Step[233/526], Loss: 0.6878
Epoch [23/100], Step[234/526], Loss: 0.6818
Epoch [23/100], Step[235/526], Loss: 0.7033
Epoch [23/100], Step[236/526], Loss: 0.6884
Epoch [23/100], Step[237/526], Loss: 0.7197
Epoch [23/100], Step[238/526], Loss: 0.6903
Epoch [23/100], Step[239/526], Loss: 0.6734
Epoch [23/100], Step[240/526], Loss: 0.7227
Epoch [23/100], Step[241/526], Loss: 0.6970
Epoch [23/100], Step[242/526], Loss: 0.7104
Epoch [23/100], Step[243/526], Loss: 0.6384
Epoch [23/100], Step[244/526], Loss: 0.6500
Epoch [23/100], Step[245/526], Loss: 0.6435
Epoch [23/100], Step[246/526], Loss: 0.6658
Epoch [23/100], Step[247/526], Loss: 0.6258
Epoch [23/100], Step[248/526], Loss: 0.6546
Epoch [23/100], Step[249/526], Loss: 0.6643
Epoch [23/100], Step[250/526], Loss: 0.6791
Epoch [23/100], Step[251/526], Loss: 0.6987
Epoch [23/100], Step[252/526], Loss: 0.6954
Epoch [23/100], Step[253/526], Loss: 0.6317
Epoch [23/100], Step[254/526], Loss: 0.6659
Epoch [23/100], Step[255/526], Loss: 0.6049
Epoch [23/100], Step[256/526], Loss: 0.6877
Epoch [23/100], Step[257/526], Loss: 0.6620
Epoch [23/100], Step[258/526], Loss: 0.6409
Epoch [23/100], Step[259/526], Loss: 0.6863
Epoch [23/100], Step[260/526], Loss: 0.7286
Epoch [23/100], Step[261/526], Loss: 0.7483
Epoch [23/100], Step[262/526], Loss: 0.6802
Epoch [23/100], Step[263/526], Loss: 0.6647
Epoch [23/100], Step[264/526], Loss: 0.6461
Epoch [23/100], Step[265/526], Loss: 0.6395
Epoch [23/100], Step[266/526], Loss: 0.6321
Epoch [23/100], Step[267/526], Loss: 0.5019
Epoch [23/100], Step[268/526], Loss: 0.5583
Epoch [23/100], Step[269/526], Loss: 0.4704
Epoch [23/100], Step[270/526], Loss: 0.4097
Epoch [23/100], Step[271/526], Loss: 0.5257
Epoch [23/100], Step[272/526], Loss: 0.5427
Epoch [23/100], Step[273/526], Loss: 0.6273
Epoch [23/100], Step[274/526], Loss: 0.4514
Epoch [23/100], Step[275/526], Loss: 0.4323
Epoch [23/100], Step[276/526], Loss: 0.4786
Epoch [23/100], Step[277/526], Loss: 0.4441
Epoch [23/100], Step[278/526], Loss: 0.4621
Epoch [23/100], Step[279/526], Loss: 0.4102
Epoch [23/100], Step[280/526], Loss: 0.4508
Epoch [23/100], Step[281/526], Loss: 0.6158
Epoch [23/100], Step[282/526], Loss: 0.3704
Epoch [23/100], Step[283/526], Loss: 0.3630
Epoch [23/100], Step[284/526], Loss: 0.4022
Epoch [23/100], Step[285/526], Loss: 0.2873
Epoch [23/100], Step[286/526], Loss: 0.6861
Epoch [23/100], Step[287/526], Loss: 0.4805
Epoch [23/100], Step[288/526], Loss: 0.4387
Epoch [23/100], Step[289/526], Loss: 0.6070
Epoch [23/100], Step[290/526], Loss: 0.4249
Epoch [23/100], Step[291/526], Loss: 0.4856
Epoch [23/100], Step[292/526], Loss: 0.2579
Epoch [23/100], Step[293/526], Loss: 0.3139
Epoch [23/100], Step[294/526], Loss: 0.3306
Epoch [23/100], Step[295/526], Loss: 0.4217
Epoch [23/100], Step[296/526], Loss: 0.5986
Epoch [23/100], Step[297/526], Loss: 0.2870
Epoch [23/100], Step[298/526], Loss: 0.2938
Epoch [23/100], Step[299/526], Loss: 0.2591
Epoch [23/100], Step[300/526], Loss: 0.3198
Epoch [23/100], Step[301/526], Loss: 0.5937
Epoch [23/100], Step[302/526], Loss: 0.3135
Epoch [23/100], Step[303/526], Loss: 0.4874
Epoch [23/100], Step[304/526], Loss: 0.2616
Epoch [23/100], Step[305/526], Loss: 0.2698
Epoch [23/100], Step[306/526], Loss: 0.5706
Epoch [23/100], Step[307/526], Loss: 0.8850
Epoch [23/100], Step[308/526], Loss: 1.3029
Epoch [23/100], Step[309/526], Loss: 0.8932
Epoch [23/100], Step[310/526], Loss: 0.9624
Epoch [23/100], Step[311/526], Loss: 0.8314
Epoch [23/100], Step[312/526], Loss: 0.4946
Epoch [23/100], Step[313/526], Loss: 0.4860
Epoch [23/100], Step[314/526], Loss: 0.6520
Epoch [23/100], Step[315/526], Loss: 0.7065
Epoch [23/100], Step[316/526], Loss: 0.5028
Epoch [23/100], Step[317/526], Loss: 0.3135
Epoch [23/100], Step[318/526], Loss: 0.7447
Epoch [23/100], Step[319/526], Loss: 0.3582
Epoch [23/100], Step[320/526], Loss: 0.5794
Epoch [23/100], Step[321/526], Loss: 0.7394
Epoch [23/100], Step[322/526], Loss: 0.2673
Epoch [23/100], Step[323/526], Loss: 0.6024
Epoch [23/100], Step[324/526], Loss: 0.6645
Epoch [23/100], Step[325/526], Loss: 0.5716
Epoch [23/100], Step[326/526], Loss: 0.7894
Epoch [23/100], Step[327/526], Loss: 0.7326
Epoch [23/100], Step[328/526], Loss: 0.9086
Epoch [23/100], Step[329/526], Loss: 1.2552
Epoch [23/100], Step[330/526], Loss: 0.9920
Epoch [23/100], Step[331/526], Loss: 0.8172
Epoch [23/100], Step[332/526], Loss: 0.8563
Epoch [23/100], Step[333/526], Loss: 0.7788
Epoch [23/100], Step[334/526], Loss: 0.7773
Epoch [23/100], Step[335/526], Loss: 0.8246
Epoch [23/100], Step[336/526], Loss: 0.6964
Epoch [23/100], Step[337/526], Loss: 0.6018
Epoch [23/100], Step[338/526], Loss: 0.7087
Epoch [23/100], Step[339/526], Loss: 0.6510
Epoch [23/100], Step[340/526], Loss: 0.7327
Epoch [23/100], Step[341/526], Loss: 0.7945
Epoch [23/100], Step[342/526], Loss: 0.7940
Epoch [23/100], Step[343/526], Loss: 0.5490
Epoch [23/100], Step[344/526], Loss: 0.7402
Epoch [23/100], Step[345/526], Loss: 0.6527
Epoch [23/100], Step[346/526], Loss: 0.7029
Epoch [23/100], Step[347/526], Loss: 0.7032
Epoch [23/100], Step[348/526], Loss: 0.6402
Epoch [23/100], Step[349/526], Loss: 0.5848
Epoch [23/100], Step[350/526], Loss: 0.6791
Epoch [23/100], Step[351/526], Loss: 0.7194
Epoch [23/100], Step[352/526], Loss: 0.6183
Epoch [23/100], Step[353/526], Loss: 0.6890
Epoch [23/100], Step[354/526], Loss: 0.6711
Epoch [23/100], Step[355/526], Loss: 0.6742
Epoch [23/100], Step[356/526], Loss: 0.7035
Epoch [23/100], Step[357/526], Loss: 0.6598
Epoch [23/100], Step[358/526], Loss: 0.6973
Epoch [23/100], Step[359/526], Loss: 0.6585
Epoch [23/100], Step[360/526], Loss: 0.6722
Epoch [23/100], Step[361/526], Loss: 0.7318
Epoch [23/100], Step[362/526], Loss: 0.7041
Epoch [23/100], Step[363/526], Loss: 0.6925
Epoch [23/100], Step[364/526], Loss: 0.7180
Epoch [23/100], Step[365/526], Loss: 0.7183
Epoch [23/100], Step[366/526], Loss: 0.6865
Epoch [23/100], Step[367/526], Loss: 0.6872
Epoch [23/100], Step[368/526], Loss: 0.6527
Epoch [23/100], Step[369/526], Loss: 0.6609
Epoch [23/100], Step[370/526], Loss: 0.6240
Epoch [23/100], Step[371/526], Loss: 0.7343
Epoch [23/100], Step[372/526], Loss: 0.6480
Epoch [23/100], Step[373/526], Loss: 0.6791
Epoch [23/100], Step[374/526], Loss: 0.7012
Epoch [23/100], Step[375/526], Loss: 0.6512
Epoch [23/100], Step[376/526], Loss: 0.6386
Epoch [23/100], Step[377/526], Loss: 0.6830
Epoch [23/100], Step[378/526], Loss: 0.6962
Epoch [23/100], Step[379/526], Loss: 0.7359
Epoch [23/100], Step[380/526], Loss: 0.6118
Epoch [23/100], Step[381/526], Loss: 0.6006
Epoch [23/100], Step[382/526], Loss: 0.6726
Epoch [23/100], Step[383/526], Loss: 0.6922
Epoch [23/100], Step[384/526], Loss: 0.6373
Epoch [23/100], Step[385/526], Loss: 0.6340
Epoch [23/100], Step[386/526], Loss: 0.6595
Epoch [23/100], Step[387/526], Loss: 0.6593
Epoch [23/100], Step[388/526], Loss: 0.5967
Epoch [23/100], Step[389/526], Loss: 0.7233
Epoch [23/100], Step[390/526], Loss: 0.5968
Epoch [23/100], Step[391/526], Loss: 0.6513
Epoch [23/100], Step[392/526], Loss: 0.7008
Epoch [23/100], Step[393/526], Loss: 0.5916
Epoch [23/100], Step[394/526], Loss: 0.5172
Epoch [23/100], Step[395/526], Loss: 0.6274
Epoch [23/100], Step[396/526], Loss: 0.6318
Epoch [23/100], Step[397/526], Loss: 0.4789
Epoch [23/100], Step[398/526], Loss: 0.6007
Epoch [23/100], Step[399/526], Loss: 0.6573
Epoch [23/100], Step[400/526], Loss: 0.4736
Epoch [23/100], Step[401/526], Loss: 0.5870
Epoch [23/100], Step[402/526], Loss: 0.6306
Epoch [23/100], Step[403/526], Loss: 0.7246
Epoch [23/100], Step[404/526], Loss: 0.4820
Epoch [23/100], Step[405/526], Loss: 0.5047
Epoch [23/100], Step[406/526], Loss: 0.6390
Epoch [23/100], Step[407/526], Loss: 0.7425
Epoch [23/100], Step[408/526], Loss: 0.6479
Epoch [23/100], Step[409/526], Loss: 0.4512
Epoch [23/100], Step[410/526], Loss: 0.4810
Epoch [23/100], Step[411/526], Loss: 0.5324
Epoch [23/100], Step[412/526], Loss: 0.5830
Epoch [23/100], Step[413/526], Loss: 0.5903
Epoch [23/100], Step[414/526], Loss: 0.6265
Epoch [23/100], Step[415/526], Loss: 0.6080
Epoch [23/100], Step[416/526], Loss: 0.5386
Epoch [23/100], Step[417/526], Loss: 0.4560
Epoch [23/100], Step[418/526], Loss: 0.7581
Epoch [23/100], Step[419/526], Loss: 0.6918
Epoch [23/100], Step[420/526], Loss: 0.6851
Epoch [23/100], Step[421/526], Loss: 0.6330
Epoch [23/100], Step[422/526], Loss: 0.7946
Epoch [23/100], Step[423/526], Loss: 0.7059
Epoch [23/100], Step[424/526], Loss: 0.7428
Epoch [23/100], Step[425/526], Loss: 0.7137
Epoch [23/100], Step[426/526], Loss: 0.7682
Epoch [23/100], Step[427/526], Loss: 0.6921
Epoch [23/100], Step[428/526], Loss: 0.7122
Epoch [23/100], Step[429/526], Loss: 0.7358
Epoch [23/100], Step[430/526], Loss: 0.7940
Epoch [23/100], Step[431/526], Loss: 0.7133
Epoch [23/100], Step[432/526], Loss: 0.7315
Epoch [23/100], Step[433/526], Loss: 0.6829
Epoch [23/100], Step[434/526], Loss: 0.6213
Epoch [23/100], Step[435/526], Loss: 0.7903
Epoch [23/100], Step[436/526], Loss: 0.8109
Epoch [23/100], Step[437/526], Loss: 0.5233
Epoch [23/100], Step[438/526], Loss: 0.3662
Epoch [23/100], Step[439/526], Loss: 0.7390
Epoch [23/100], Step[440/526], Loss: 0.6958
Epoch [23/100], Step[441/526], Loss: 0.7089
Epoch [23/100], Step[442/526], Loss: 0.6396
Epoch [23/100], Step[443/526], Loss: 0.6773
Epoch [23/100], Step[444/526], Loss: 0.7597
Epoch [23/100], Step[445/526], Loss: 0.6991
Epoch [23/100], Step[446/526], Loss: 0.7214
Epoch [23/100], Step[447/526], Loss: 0.7182
Epoch [23/100], Step[448/526], Loss: 0.7364
Epoch [23/100], Step[449/526], Loss: 0.6896
Epoch [23/100], Step[450/526], Loss: 0.6036
Epoch [23/100], Step[451/526], Loss: 0.6519
Epoch [23/100], Step[452/526], Loss: 0.7297
Epoch [23/100], Step[453/526], Loss: 0.7259
Epoch [23/100], Step[454/526], Loss: 0.8019
Epoch [23/100], Step[455/526], Loss: 0.6600
Epoch [23/100], Step[456/526], Loss: 0.6383
Epoch [23/100], Step[457/526], Loss: 0.7009
Epoch [23/100], Step[458/526], Loss: 0.6745
Epoch [23/100], Step[459/526], Loss: 0.6652
Epoch [23/100], Step[460/526], Loss: 0.6464
Epoch [23/100], Step[461/526], Loss: 0.6213
Epoch [23/100], Step[462/526], Loss: 0.6714
Epoch [23/100], Step[463/526], Loss: 0.6536
Epoch [23/100], Step[464/526], Loss: 0.6503
Epoch [23/100], Step[465/526], Loss: 0.6618
Epoch [23/100], Step[466/526], Loss: 0.6621
Epoch [23/100], Step[467/526], Loss: 0.6485
Epoch [23/100], Step[468/526], Loss: 0.6323
Epoch [23/100], Step[469/526], Loss: 0.7968
Epoch [23/100], Step[470/526], Loss: 0.6608
Epoch [23/100], Step[471/526], Loss: 0.6968
Epoch [23/100], Step[472/526], Loss: 0.6735
Epoch [23/100], Step[473/526], Loss: 0.6789
Epoch [23/100], Step[474/526], Loss: 0.6731
Epoch [23/100], Step[475/526], Loss: 0.8109
Epoch [23/100], Step[476/526], Loss: 0.7529
Epoch [23/100], Step[477/526], Loss: 0.7026
Epoch [23/100], Step[478/526], Loss: 0.6981
Epoch [23/100], Step[479/526], Loss: 0.6662
Epoch [23/100], Step[480/526], Loss: 0.7382
Epoch [23/100], Step[481/526], Loss: 0.7138
Epoch [23/100], Step[482/526], Loss: 0.6279
Epoch [23/100], Step[483/526], Loss: 0.5592
Epoch [23/100], Step[484/526], Loss: 0.6944
Epoch [23/100], Step[485/526], Loss: 0.7996
Epoch [23/100], Step[486/526], Loss: 0.7183
Epoch [23/100], Step[487/526], Loss: 0.7476
Epoch [23/100], Step[488/526], Loss: 0.6914
Epoch [23/100], Step[489/526], Loss: 0.6380
Epoch [23/100], Step[490/526], Loss: 0.6165
Epoch [23/100], Step[491/526], Loss: 0.6988
Epoch [23/100], Step[492/526], Loss: 0.6565
Epoch [23/100], Step[493/526], Loss: 0.6508
Epoch [23/100], Step[494/526], Loss: 0.6586
Epoch [23/100], Step[495/526], Loss: 0.6875
Epoch [23/100], Step[496/526], Loss: 0.6684
Epoch [23/100], Step[497/526], Loss: 0.6412
Epoch [23/100], Step[498/526], Loss: 0.6785
Epoch [23/100], Step[499/526], Loss: 0.6749
Epoch [23/100], Step[500/526], Loss: 0.6781
Epoch [23/100], Step[501/526], Loss: 0.6583
Epoch [23/100], Step[502/526], Loss: 0.6968
Epoch [23/100], Step[503/526], Loss: 0.7077
Epoch [23/100], Step[504/526], Loss: 0.6955
Epoch [23/100], Step[505/526], Loss: 0.7062
Epoch [23/100], Step[506/526], Loss: 0.6862
Epoch [23/100], Step[507/526], Loss: 0.6773
Epoch [23/100], Step[508/526], Loss: 0.7017
Epoch [23/100], Step[509/526], Loss: 0.6599
Epoch [23/100], Step[510/526], Loss: 0.7022
Epoch [23/100], Step[511/526], Loss: 0.6453
Epoch [23/100], Step[512/526], Loss: 0.6751
Epoch [23/100], Step[513/526], Loss: 0.6470
Epoch [23/100], Step[514/526], Loss: 0.6514
Epoch [23/100], Step[515/526], Loss: 0.5833
Epoch [23/100], Step[516/526], Loss: 0.7457
Epoch [23/100], Step[517/526], Loss: 0.6894
Epoch [23/100], Step[518/526], Loss: 0.7347
Epoch [23/100], Step[519/526], Loss: 0.7129
Epoch [23/100], Step[520/526], Loss: 0.6761
Epoch [23/100], Step[521/526], Loss: 0.6701
Epoch [23/100], Step[522/526], Loss: 0.6108
Epoch [23/100], Step[523/526], Loss: 0.6458
Epoch [23/100], Step[524/526], Loss: 0.6464
Epoch [23/100], Step[525/526], Loss: 0.7369
Epoch [23/100], Step[526/526], Loss: 0.7016
Epoch [24/100], Step[1/526], Loss: 0.6614
Epoch [24/100], Step[2/526], Loss: 0.6482
Epoch [24/100], Step[3/526], Loss: 0.6773
Epoch [24/100], Step[4/526], Loss: 0.6373
Epoch [24/100], Step[5/526], Loss: 0.7337
Epoch [24/100], Step[6/526], Loss: 0.7366
Epoch [24/100], Step[7/526], Loss: 0.6970
Epoch [24/100], Step[8/526], Loss: 0.6801
Epoch [24/100], Step[9/526], Loss: 0.7068
Epoch [24/100], Step[10/526], Loss: 0.6783
Epoch [24/100], Step[11/526], Loss: 0.6675
Epoch [24/100], Step[12/526], Loss: 0.7181
Epoch [24/100], Step[13/526], Loss: 0.6382
Epoch [24/100], Step[14/526], Loss: 0.6629
Epoch [24/100], Step[15/526], Loss: 0.6878
Epoch [24/100], Step[16/526], Loss: 0.6994
Epoch [24/100], Step[17/526], Loss: 0.7038
Epoch [24/100], Step[18/526], Loss: 0.6919
Epoch [24/100], Step[19/526], Loss: 0.6709
Epoch [24/100], Step[20/526], Loss: 0.7109
Epoch [24/100], Step[21/526], Loss: 0.7445
Epoch [24/100], Step[22/526], Loss: 0.7301
Epoch [24/100], Step[23/526], Loss: 0.7339
Epoch [24/100], Step[24/526], Loss: 0.7107
Epoch [24/100], Step[25/526], Loss: 0.6925
Epoch [24/100], Step[26/526], Loss: 0.6417
Epoch [24/100], Step[27/526], Loss: 0.6884
Epoch [24/100], Step[28/526], Loss: 0.6904
Epoch [24/100], Step[29/526], Loss: 0.6639
Epoch [24/100], Step[30/526], Loss: 0.6940
Epoch [24/100], Step[31/526], Loss: 0.7020
Epoch [24/100], Step[32/526], Loss: 0.6691
Epoch [24/100], Step[33/526], Loss: 0.7101
Epoch [24/100], Step[34/526], Loss: 0.6913
Epoch [24/100], Step[35/526], Loss: 0.7088
Epoch [24/100], Step[36/526], Loss: 0.6952
Epoch [24/100], Step[37/526], Loss: 0.6924
Epoch [24/100], Step[38/526], Loss: 0.7047
Epoch [24/100], Step[39/526], Loss: 0.7010
Epoch [24/100], Step[40/526], Loss: 0.7247
Epoch [24/100], Step[41/526], Loss: 0.6562
Epoch [24/100], Step[42/526], Loss: 0.7254
Epoch [24/100], Step[43/526], Loss: 0.7169
Epoch [24/100], Step[44/526], Loss: 0.6857
Epoch [24/100], Step[45/526], Loss: 0.6860
Epoch [24/100], Step[46/526], Loss: 0.6882
Epoch [24/100], Step[47/526], Loss: 0.7084
Epoch [24/100], Step[48/526], Loss: 0.7235
Epoch [24/100], Step[49/526], Loss: 0.7064
Epoch [24/100], Step[50/526], Loss: 0.7150
Epoch [24/100], Step[51/526], Loss: 0.6959
Epoch [24/100], Step[52/526], Loss: 0.6770
Epoch [24/100], Step[53/526], Loss: 0.7202
Epoch [24/100], Step[54/526], Loss: 0.6983
Epoch [24/100], Step[55/526], Loss: 0.6899
Epoch [24/100], Step[56/526], Loss: 0.6997
Epoch [24/100], Step[57/526], Loss: 0.6859
Epoch [24/100], Step[58/526], Loss: 0.6751
Epoch [24/100], Step[59/526], Loss: 0.6619
Epoch [24/100], Step[60/526], Loss: 0.6707
Epoch [24/100], Step[61/526], Loss: 0.6475
Epoch [24/100], Step[62/526], Loss: 0.6947
Epoch [24/100], Step[63/526], Loss: 0.6861
Epoch [24/100], Step[64/526], Loss: 0.6805
Epoch [24/100], Step[65/526], Loss: 0.7222
Epoch [24/100], Step[66/526], Loss: 0.6834
Epoch [24/100], Step[67/526], Loss: 0.6662
Epoch [24/100], Step[68/526], Loss: 0.6515
Epoch [24/100], Step[69/526], Loss: 0.6970
Epoch [24/100], Step[70/526], Loss: 0.6839
Epoch [24/100], Step[71/526], Loss: 0.6627
Epoch [24/100], Step[72/526], Loss: 0.6780
Epoch [24/100], Step[73/526], Loss: 0.7093
Epoch [24/100], Step[74/526], Loss: 0.6658
Epoch [24/100], Step[75/526], Loss: 0.7072
Epoch [24/100], Step[76/526], Loss: 0.6949
Epoch [24/100], Step[77/526], Loss: 0.6912
Epoch [24/100], Step[78/526], Loss: 0.7078
Epoch [24/100], Step[79/526], Loss: 0.6946
Epoch [24/100], Step[80/526], Loss: 0.6940
Epoch [24/100], Step[81/526], Loss: 0.7041
Epoch [24/100], Step[82/526], Loss: 0.7284
Epoch [24/100], Step[83/526], Loss: 0.7102
Epoch [24/100], Step[84/526], Loss: 0.6980
Epoch [24/100], Step[85/526], Loss: 0.6656
Epoch [24/100], Step[86/526], Loss: 0.7074
Epoch [24/100], Step[87/526], Loss: 0.6796
Epoch [24/100], Step[88/526], Loss: 0.6901
Epoch [24/100], Step[89/526], Loss: 0.7208
Epoch [24/100], Step[90/526], Loss: 0.6858
Epoch [24/100], Step[91/526], Loss: 0.6797
Epoch [24/100], Step[92/526], Loss: 0.6778
Epoch [24/100], Step[93/526], Loss: 0.6844
Epoch [24/100], Step[94/526], Loss: 0.7988
Epoch [24/100], Step[95/526], Loss: 0.7142
Epoch [24/100], Step[96/526], Loss: 0.6288
Epoch [24/100], Step[97/526], Loss: 0.5993
Epoch [24/100], Step[98/526], Loss: 0.6971
Epoch [24/100], Step[99/526], Loss: 0.6831
Epoch [24/100], Step[100/526], Loss: 0.6749
Epoch [24/100], Step[101/526], Loss: 0.6573
Epoch [24/100], Step[102/526], Loss: 0.6256
Epoch [24/100], Step[103/526], Loss: 0.6830
Epoch [24/100], Step[104/526], Loss: 0.6430
Epoch [24/100], Step[105/526], Loss: 0.6429
Epoch [24/100], Step[106/526], Loss: 0.6906
Epoch [24/100], Step[107/526], Loss: 0.6448
Epoch [24/100], Step[108/526], Loss: 0.5862
Epoch [24/100], Step[109/526], Loss: 0.6800
Epoch [24/100], Step[110/526], Loss: 0.6915
Epoch [24/100], Step[111/526], Loss: 0.5896
Epoch [24/100], Step[112/526], Loss: 0.7374
Epoch [24/100], Step[113/526], Loss: 0.6087
Epoch [24/100], Step[114/526], Loss: 0.6580
Epoch [24/100], Step[115/526], Loss: 0.6080
Epoch [24/100], Step[116/526], Loss: 0.6256
Epoch [24/100], Step[117/526], Loss: 0.6536
Epoch [24/100], Step[118/526], Loss: 0.7515
Epoch [24/100], Step[119/526], Loss: 0.6773
Epoch [24/100], Step[120/526], Loss: 0.6778
Epoch [24/100], Step[121/526], Loss: 0.6964
Epoch [24/100], Step[122/526], Loss: 0.6308
Epoch [24/100], Step[123/526], Loss: 0.6499
Epoch [24/100], Step[124/526], Loss: 0.6742
Epoch [24/100], Step[125/526], Loss: 0.6389
Epoch [24/100], Step[126/526], Loss: 0.7150
Epoch [24/100], Step[127/526], Loss: 0.6719
Epoch [24/100], Step[128/526], Loss: 0.6461
Epoch [24/100], Step[129/526], Loss: 0.5963
Epoch [24/100], Step[130/526], Loss: 0.6120
Epoch [24/100], Step[131/526], Loss: 0.6772
Epoch [24/100], Step[132/526], Loss: 0.7221
Epoch [24/100], Step[133/526], Loss: 0.6755
Epoch [24/100], Step[134/526], Loss: 0.6298
Epoch [24/100], Step[135/526], Loss: 0.6481
Epoch [24/100], Step[136/526], Loss: 0.5724
Epoch [24/100], Step[137/526], Loss: 0.6354
Epoch [24/100], Step[138/526], Loss: 0.6533
Epoch [24/100], Step[139/526], Loss: 0.7081
Epoch [24/100], Step[140/526], Loss: 0.5943
Epoch [24/100], Step[141/526], Loss: 0.6835
Epoch [24/100], Step[142/526], Loss: 0.6671
Epoch [24/100], Step[143/526], Loss: 0.6888
Epoch [24/100], Step[144/526], Loss: 0.7780
Epoch [24/100], Step[145/526], Loss: 0.5577
Epoch [24/100], Step[146/526], Loss: 0.5138
Epoch [24/100], Step[147/526], Loss: 0.4680
Epoch [24/100], Step[148/526], Loss: 0.5905
Epoch [24/100], Step[149/526], Loss: 0.5048
Epoch [24/100], Step[150/526], Loss: 0.6130
Epoch [24/100], Step[151/526], Loss: 0.5655
Epoch [24/100], Step[152/526], Loss: 0.6241
Epoch [24/100], Step[153/526], Loss: 0.6336
Epoch [24/100], Step[154/526], Loss: 0.7307
Epoch [24/100], Step[155/526], Loss: 0.7169
Epoch [24/100], Step[156/526], Loss: 0.5246
Epoch [24/100], Step[157/526], Loss: 0.2836
Epoch [24/100], Step[158/526], Loss: 0.6044
Epoch [24/100], Step[159/526], Loss: 0.6707
Epoch [24/100], Step[160/526], Loss: 0.5543
Epoch [24/100], Step[161/526], Loss: 1.0222
Epoch [24/100], Step[162/526], Loss: 0.6899
Epoch [24/100], Step[163/526], Loss: 0.7212
Epoch [24/100], Step[164/526], Loss: 0.6196
Epoch [24/100], Step[165/526], Loss: 0.7285
Epoch [24/100], Step[166/526], Loss: 0.4956
Epoch [24/100], Step[167/526], Loss: 0.5287
Epoch [24/100], Step[168/526], Loss: 0.6870
Epoch [24/100], Step[169/526], Loss: 0.7535
Epoch [24/100], Step[170/526], Loss: 0.6991
Epoch [24/100], Step[171/526], Loss: 0.7230
Epoch [24/100], Step[172/526], Loss: 0.7238
Epoch [24/100], Step[173/526], Loss: 0.8102
Epoch [24/100], Step[174/526], Loss: 0.6290
Epoch [24/100], Step[175/526], Loss: 0.6576
Epoch [24/100], Step[176/526], Loss: 0.6365
Epoch [24/100], Step[177/526], Loss: 0.6557
Epoch [24/100], Step[178/526], Loss: 0.7018
Epoch [24/100], Step[179/526], Loss: 0.6403
Epoch [24/100], Step[180/526], Loss: 0.6787
Epoch [24/100], Step[181/526], Loss: 0.6372
Epoch [24/100], Step[182/526], Loss: 0.6872
Epoch [24/100], Step[183/526], Loss: 0.5265
Epoch [24/100], Step[184/526], Loss: 0.5955
Epoch [24/100], Step[185/526], Loss: 0.5838
Epoch [24/100], Step[186/526], Loss: 0.6578
Epoch [24/100], Step[187/526], Loss: 0.7453
Epoch [24/100], Step[188/526], Loss: 0.7037
Epoch [24/100], Step[189/526], Loss: 0.6835
Epoch [24/100], Step[190/526], Loss: 0.6045
Epoch [24/100], Step[191/526], Loss: 0.7246
Epoch [24/100], Step[192/526], Loss: 0.7709
Epoch [24/100], Step[193/526], Loss: 0.6555
Epoch [24/100], Step[194/526], Loss: 0.6171
Epoch [24/100], Step[195/526], Loss: 0.6519
Epoch [24/100], Step[196/526], Loss: 0.7297
Epoch [24/100], Step[197/526], Loss: 0.6892
Epoch [24/100], Step[198/526], Loss: 0.6320
Epoch [24/100], Step[199/526], Loss: 0.7298
Epoch [24/100], Step[200/526], Loss: 0.6661
Epoch [24/100], Step[201/526], Loss: 0.6788
Epoch [24/100], Step[202/526], Loss: 0.7470
Epoch [24/100], Step[203/526], Loss: 0.7064
Epoch [24/100], Step[204/526], Loss: 0.7381
Epoch [24/100], Step[205/526], Loss: 0.7085
Epoch [24/100], Step[206/526], Loss: 0.6812
Epoch [24/100], Step[207/526], Loss: 0.7080
Epoch [24/100], Step[208/526], Loss: 0.6812
Epoch [24/100], Step[209/526], Loss: 0.6827
Epoch [24/100], Step[210/526], Loss: 0.7793
Epoch [24/100], Step[211/526], Loss: 0.6418
Epoch [24/100], Step[212/526], Loss: 0.6878
Epoch [24/100], Step[213/526], Loss: 0.7168
Epoch [24/100], Step[214/526], Loss: 0.7487
Epoch [24/100], Step[215/526], Loss: 0.6924
Epoch [24/100], Step[216/526], Loss: 0.6806
Epoch [24/100], Step[217/526], Loss: 0.6735
Epoch [24/100], Step[218/526], Loss: 0.6985
Epoch [24/100], Step[219/526], Loss: 0.6988
Epoch [24/100], Step[220/526], Loss: 0.7314
Epoch [24/100], Step[221/526], Loss: 0.6940
Epoch [24/100], Step[222/526], Loss: 0.7501
Epoch [24/100], Step[223/526], Loss: 0.6776
Epoch [24/100], Step[224/526], Loss: 0.6847
Epoch [24/100], Step[225/526], Loss: 0.7266
Epoch [24/100], Step[226/526], Loss: 0.6819
Epoch [24/100], Step[227/526], Loss: 0.6765
Epoch [24/100], Step[228/526], Loss: 0.6697
Epoch [24/100], Step[229/526], Loss: 0.6882
Epoch [24/100], Step[230/526], Loss: 0.6610
Epoch [24/100], Step[231/526], Loss: 0.6670
Epoch [24/100], Step[232/526], Loss: 0.7075
Epoch [24/100], Step[233/526], Loss: 0.6878
Epoch [24/100], Step[234/526], Loss: 0.6820
Epoch [24/100], Step[235/526], Loss: 0.7054
Epoch [24/100], Step[236/526], Loss: 0.6894
Epoch [24/100], Step[237/526], Loss: 0.7191
Epoch [24/100], Step[238/526], Loss: 0.6894
Epoch [24/100], Step[239/526], Loss: 0.6735
Epoch [24/100], Step[240/526], Loss: 0.7227
Epoch [24/100], Step[241/526], Loss: 0.6972
Epoch [24/100], Step[242/526], Loss: 0.7101
Epoch [24/100], Step[243/526], Loss: 0.6128
Epoch [24/100], Step[244/526], Loss: 0.6512
Epoch [24/100], Step[245/526], Loss: 0.6438
Epoch [24/100], Step[246/526], Loss: 0.6656
Epoch [24/100], Step[247/526], Loss: 0.6269
Epoch [24/100], Step[248/526], Loss: 0.6548
Epoch [24/100], Step[249/526], Loss: 0.6651
Epoch [24/100], Step[250/526], Loss: 0.6789
Epoch [24/100], Step[251/526], Loss: 0.6991
Epoch [24/100], Step[252/526], Loss: 0.6945
Epoch [24/100], Step[253/526], Loss: 0.6324
Epoch [24/100], Step[254/526], Loss: 0.6654
Epoch [24/100], Step[255/526], Loss: 0.6063
Epoch [24/100], Step[256/526], Loss: 0.6868
Epoch [24/100], Step[257/526], Loss: 0.6670
Epoch [24/100], Step[258/526], Loss: 0.6395
Epoch [24/100], Step[259/526], Loss: 0.6863
Epoch [24/100], Step[260/526], Loss: 0.7309
Epoch [24/100], Step[261/526], Loss: 0.7481
Epoch [24/100], Step[262/526], Loss: 0.6806
Epoch [24/100], Step[263/526], Loss: 0.6656
Epoch [24/100], Step[264/526], Loss: 0.6474
Epoch [24/100], Step[265/526], Loss: 0.6405
Epoch [24/100], Step[266/526], Loss: 0.6326
Epoch [24/100], Step[267/526], Loss: 0.5016
Epoch [24/100], Step[268/526], Loss: 0.5545
Epoch [24/100], Step[269/526], Loss: 0.4677
Epoch [24/100], Step[270/526], Loss: 0.4036
Epoch [24/100], Step[271/526], Loss: 0.5223
Epoch [24/100], Step[272/526], Loss: 0.5407
Epoch [24/100], Step[273/526], Loss: 0.6289
Epoch [24/100], Step[274/526], Loss: 0.4470
Epoch [24/100], Step[275/526], Loss: 0.4306
Epoch [24/100], Step[276/526], Loss: 0.4761
Epoch [24/100], Step[277/526], Loss: 0.4427
Epoch [24/100], Step[278/526], Loss: 0.4585
Epoch [24/100], Step[279/526], Loss: 0.4068
Epoch [24/100], Step[280/526], Loss: 0.4506
Epoch [24/100], Step[281/526], Loss: 0.6185
Epoch [24/100], Step[282/526], Loss: 0.3689
Epoch [24/100], Step[283/526], Loss: 0.3639
Epoch [24/100], Step[284/526], Loss: 0.4006
Epoch [24/100], Step[285/526], Loss: 0.2853
Epoch [24/100], Step[286/526], Loss: 0.6881
Epoch [24/100], Step[287/526], Loss: 0.4811
Epoch [24/100], Step[288/526], Loss: 0.4395
Epoch [24/100], Step[289/526], Loss: 0.6090
Epoch [24/100], Step[290/526], Loss: 0.4250
Epoch [24/100], Step[291/526], Loss: 0.4859
Epoch [24/100], Step[292/526], Loss: 0.2554
Epoch [24/100], Step[293/526], Loss: 0.3141
Epoch [24/100], Step[294/526], Loss: 0.3290
Epoch [24/100], Step[295/526], Loss: 0.4205
Epoch [24/100], Step[296/526], Loss: 0.6014
Epoch [24/100], Step[297/526], Loss: 0.2854
Epoch [24/100], Step[298/526], Loss: 0.2916
Epoch [24/100], Step[299/526], Loss: 0.2570
Epoch [24/100], Step[300/526], Loss: 0.3160
Epoch [24/100], Step[301/526], Loss: 0.5948
Epoch [24/100], Step[302/526], Loss: 0.3135
Epoch [24/100], Step[303/526], Loss: 0.4844
Epoch [24/100], Step[304/526], Loss: 0.2593
Epoch [24/100], Step[305/526], Loss: 0.2664
Epoch [24/100], Step[306/526], Loss: 0.5704
Epoch [24/100], Step[307/526], Loss: 0.8825
Epoch [24/100], Step[308/526], Loss: 1.3073
Epoch [24/100], Step[309/526], Loss: 0.8775
Epoch [24/100], Step[310/526], Loss: 0.9663
Epoch [24/100], Step[311/526], Loss: 0.8327
Epoch [24/100], Step[312/526], Loss: 0.4989
Epoch [24/100], Step[313/526], Loss: 0.4872
Epoch [24/100], Step[314/526], Loss: 0.6563
Epoch [24/100], Step[315/526], Loss: 0.7031
Epoch [24/100], Step[316/526], Loss: 0.5001
Epoch [24/100], Step[317/526], Loss: 0.3162
Epoch [24/100], Step[318/526], Loss: 0.7472
Epoch [24/100], Step[319/526], Loss: 0.3577
Epoch [24/100], Step[320/526], Loss: 0.5824
Epoch [24/100], Step[321/526], Loss: 0.7325
Epoch [24/100], Step[322/526], Loss: 0.2669
Epoch [24/100], Step[323/526], Loss: 0.6042
Epoch [24/100], Step[324/526], Loss: 0.6617
Epoch [24/100], Step[325/526], Loss: 0.5719
Epoch [24/100], Step[326/526], Loss: 0.7840
Epoch [24/100], Step[327/526], Loss: 0.7316
Epoch [24/100], Step[328/526], Loss: 0.9075
Epoch [24/100], Step[329/526], Loss: 1.2435
Epoch [24/100], Step[330/526], Loss: 0.9978
Epoch [24/100], Step[331/526], Loss: 0.8119
Epoch [24/100], Step[332/526], Loss: 0.8509
Epoch [24/100], Step[333/526], Loss: 0.7781
Epoch [24/100], Step[334/526], Loss: 0.7757
Epoch [24/100], Step[335/526], Loss: 0.8148
Epoch [24/100], Step[336/526], Loss: 0.6964
Epoch [24/100], Step[337/526], Loss: 0.6024
Epoch [24/100], Step[338/526], Loss: 0.7032
Epoch [24/100], Step[339/526], Loss: 0.6480
Epoch [24/100], Step[340/526], Loss: 0.7293
Epoch [24/100], Step[341/526], Loss: 0.7887
Epoch [24/100], Step[342/526], Loss: 0.7890
Epoch [24/100], Step[343/526], Loss: 0.5502
Epoch [24/100], Step[344/526], Loss: 0.7339
Epoch [24/100], Step[345/526], Loss: 0.6537
Epoch [24/100], Step[346/526], Loss: 0.6934
Epoch [24/100], Step[347/526], Loss: 0.7030
Epoch [24/100], Step[348/526], Loss: 0.6399
Epoch [24/100], Step[349/526], Loss: 0.5916
Epoch [24/100], Step[350/526], Loss: 0.6769
Epoch [24/100], Step[351/526], Loss: 0.7170
Epoch [24/100], Step[352/526], Loss: 0.6105
Epoch [24/100], Step[353/526], Loss: 0.6849
Epoch [24/100], Step[354/526], Loss: 0.6726
Epoch [24/100], Step[355/526], Loss: 0.6730
Epoch [24/100], Step[356/526], Loss: 0.7017
Epoch [24/100], Step[357/526], Loss: 0.6592
Epoch [24/100], Step[358/526], Loss: 0.6968
Epoch [24/100], Step[359/526], Loss: 0.6625
Epoch [24/100], Step[360/526], Loss: 0.6734
Epoch [24/100], Step[361/526], Loss: 0.7181
Epoch [24/100], Step[362/526], Loss: 0.7056
Epoch [24/100], Step[363/526], Loss: 0.6914
Epoch [24/100], Step[364/526], Loss: 0.7151
Epoch [24/100], Step[365/526], Loss: 0.7174
Epoch [24/100], Step[366/526], Loss: 0.6820
Epoch [24/100], Step[367/526], Loss: 0.6890
Epoch [24/100], Step[368/526], Loss: 0.6542
Epoch [24/100], Step[369/526], Loss: 0.6562
Epoch [24/100], Step[370/526], Loss: 0.7067
Epoch [24/100], Step[371/526], Loss: 0.7353
Epoch [24/100], Step[372/526], Loss: 0.6454
Epoch [24/100], Step[373/526], Loss: 0.6781
Epoch [24/100], Step[374/526], Loss: 0.7004
Epoch [24/100], Step[375/526], Loss: 0.6514
Epoch [24/100], Step[376/526], Loss: 0.6454
Epoch [24/100], Step[377/526], Loss: 0.6823
Epoch [24/100], Step[378/526], Loss: 0.6952
Epoch [24/100], Step[379/526], Loss: 0.7367
Epoch [24/100], Step[380/526], Loss: 0.6940
Epoch [24/100], Step[381/526], Loss: 0.6131
Epoch [24/100], Step[382/526], Loss: 0.6711
Epoch [24/100], Step[383/526], Loss: 0.6903
Epoch [24/100], Step[384/526], Loss: 0.6376
Epoch [24/100], Step[385/526], Loss: 0.6416
Epoch [24/100], Step[386/526], Loss: 0.6593
Epoch [24/100], Step[387/526], Loss: 0.6621
Epoch [24/100], Step[388/526], Loss: 0.5985
Epoch [24/100], Step[389/526], Loss: 0.7207
Epoch [24/100], Step[390/526], Loss: 0.6015
Epoch [24/100], Step[391/526], Loss: 0.6553
Epoch [24/100], Step[392/526], Loss: 0.7011
Epoch [24/100], Step[393/526], Loss: 0.5936
Epoch [24/100], Step[394/526], Loss: 0.5239
Epoch [24/100], Step[395/526], Loss: 0.6295
Epoch [24/100], Step[396/526], Loss: 0.6317
Epoch [24/100], Step[397/526], Loss: 0.4841
Epoch [24/100], Step[398/526], Loss: 0.6018
Epoch [24/100], Step[399/526], Loss: 0.6540
Epoch [24/100], Step[400/526], Loss: 0.4765
Epoch [24/100], Step[401/526], Loss: 0.5888
Epoch [24/100], Step[402/526], Loss: 0.6344
Epoch [24/100], Step[403/526], Loss: 0.7128
Epoch [24/100], Step[404/526], Loss: 0.4817
Epoch [24/100], Step[405/526], Loss: 0.5059
Epoch [24/100], Step[406/526], Loss: 0.6359
Epoch [24/100], Step[407/526], Loss: 0.7459
Epoch [24/100], Step[408/526], Loss: 0.6497
Epoch [24/100], Step[409/526], Loss: 0.4549
Epoch [24/100], Step[410/526], Loss: 0.4837
Epoch [24/100], Step[411/526], Loss: 0.5345
Epoch [24/100], Step[412/526], Loss: 0.5846
Epoch [24/100], Step[413/526], Loss: 0.5944
Epoch [24/100], Step[414/526], Loss: 0.6301
Epoch [24/100], Step[415/526], Loss: 0.6092
Epoch [24/100], Step[416/526], Loss: 0.5399
Epoch [24/100], Step[417/526], Loss: 0.4615
Epoch [24/100], Step[418/526], Loss: 0.7551
Epoch [24/100], Step[419/526], Loss: 0.6918
Epoch [24/100], Step[420/526], Loss: 0.6834
Epoch [24/100], Step[421/526], Loss: 0.6325
Epoch [24/100], Step[422/526], Loss: 0.7964
Epoch [24/100], Step[423/526], Loss: 0.7077
Epoch [24/100], Step[424/526], Loss: 0.7454
Epoch [24/100], Step[425/526], Loss: 0.7146
Epoch [24/100], Step[426/526], Loss: 0.7684
Epoch [24/100], Step[427/526], Loss: 0.6967
Epoch [24/100], Step[428/526], Loss: 0.7142
Epoch [24/100], Step[429/526], Loss: 0.7401
Epoch [24/100], Step[430/526], Loss: 0.8006
Epoch [24/100], Step[431/526], Loss: 0.7115
Epoch [24/100], Step[432/526], Loss: 0.7307
Epoch [24/100], Step[433/526], Loss: 0.6822
Epoch [24/100], Step[434/526], Loss: 0.6208
Epoch [24/100], Step[435/526], Loss: 0.7905
Epoch [24/100], Step[436/526], Loss: 0.8059
Epoch [24/100], Step[437/526], Loss: 0.5252
Epoch [24/100], Step[438/526], Loss: 0.3640
Epoch [24/100], Step[439/526], Loss: 0.7372
Epoch [24/100], Step[440/526], Loss: 0.6880
Epoch [24/100], Step[441/526], Loss: 0.7041
Epoch [24/100], Step[442/526], Loss: 0.6395
Epoch [24/100], Step[443/526], Loss: 0.6678
Epoch [24/100], Step[444/526], Loss: 0.7609
Epoch [24/100], Step[445/526], Loss: 0.6997
Epoch [24/100], Step[446/526], Loss: 0.7208
Epoch [24/100], Step[447/526], Loss: 0.7195
Epoch [24/100], Step[448/526], Loss: 0.7418
Epoch [24/100], Step[449/526], Loss: 0.6925
Epoch [24/100], Step[450/526], Loss: 0.5990
Epoch [24/100], Step[451/526], Loss: 0.6486
Epoch [24/100], Step[452/526], Loss: 0.7300
Epoch [24/100], Step[453/526], Loss: 0.7245
Epoch [24/100], Step[454/526], Loss: 0.8098
Epoch [24/100], Step[455/526], Loss: 0.6591
Epoch [24/100], Step[456/526], Loss: 0.6474
Epoch [24/100], Step[457/526], Loss: 0.7031
Epoch [24/100], Step[458/526], Loss: 0.6799
Epoch [24/100], Step[459/526], Loss: 0.6642
Epoch [24/100], Step[460/526], Loss: 0.6453
Epoch [24/100], Step[461/526], Loss: 0.6203
Epoch [24/100], Step[462/526], Loss: 0.6717
Epoch [24/100], Step[463/526], Loss: 0.6534
Epoch [24/100], Step[464/526], Loss: 0.6520
Epoch [24/100], Step[465/526], Loss: 0.6628
Epoch [24/100], Step[466/526], Loss: 0.6624
Epoch [24/100], Step[467/526], Loss: 0.6474
Epoch [24/100], Step[468/526], Loss: 0.6333
Epoch [24/100], Step[469/526], Loss: 0.7982
Epoch [24/100], Step[470/526], Loss: 0.6595
Epoch [24/100], Step[471/526], Loss: 0.6978
Epoch [24/100], Step[472/526], Loss: 0.6730
Epoch [24/100], Step[473/526], Loss: 0.6801
Epoch [24/100], Step[474/526], Loss: 0.6745
Epoch [24/100], Step[475/526], Loss: 0.8157
Epoch [24/100], Step[476/526], Loss: 0.7517
Epoch [24/100], Step[477/526], Loss: 0.7013
Epoch [24/100], Step[478/526], Loss: 0.6969
Epoch [24/100], Step[479/526], Loss: 0.6649
Epoch [24/100], Step[480/526], Loss: 0.7373
Epoch [24/100], Step[481/526], Loss: 0.7168
Epoch [24/100], Step[482/526], Loss: 0.6308
Epoch [24/100], Step[483/526], Loss: 0.5560
Epoch [24/100], Step[484/526], Loss: 0.6942
Epoch [24/100], Step[485/526], Loss: 0.8042
Epoch [24/100], Step[486/526], Loss: 0.7195
Epoch [24/100], Step[487/526], Loss: 0.7522
Epoch [24/100], Step[488/526], Loss: 0.6893
Epoch [24/100], Step[489/526], Loss: 0.6360
Epoch [24/100], Step[490/526], Loss: 0.6158
Epoch [24/100], Step[491/526], Loss: 0.6998
Epoch [24/100], Step[492/526], Loss: 0.6556
Epoch [24/100], Step[493/526], Loss: 0.6499
Epoch [24/100], Step[494/526], Loss: 0.6594
Epoch [24/100], Step[495/526], Loss: 0.6883
Epoch [24/100], Step[496/526], Loss: 0.6681
Epoch [24/100], Step[497/526], Loss: 0.6412
Epoch [24/100], Step[498/526], Loss: 0.6796
Epoch [24/100], Step[499/526], Loss: 0.6745
Epoch [24/100], Step[500/526], Loss: 0.6784
Epoch [24/100], Step[501/526], Loss: 0.6583
Epoch [24/100], Step[502/526], Loss: 0.6970
Epoch [24/100], Step[503/526], Loss: 0.7077
Epoch [24/100], Step[504/526], Loss: 0.6964
Epoch [24/100], Step[505/526], Loss: 0.7073
Epoch [24/100], Step[506/526], Loss: 0.6865
Epoch [24/100], Step[507/526], Loss: 0.6772
Epoch [24/100], Step[508/526], Loss: 0.7024
Epoch [24/100], Step[509/526], Loss: 0.6605
Epoch [24/100], Step[510/526], Loss: 0.7027
Epoch [24/100], Step[511/526], Loss: 0.6453
Epoch [24/100], Step[512/526], Loss: 0.6744
Epoch [24/100], Step[513/526], Loss: 0.6460
Epoch [24/100], Step[514/526], Loss: 0.6511
Epoch [24/100], Step[515/526], Loss: 0.5870
Epoch [24/100], Step[516/526], Loss: 0.7468
Epoch [24/100], Step[517/526], Loss: 0.6908
Epoch [24/100], Step[518/526], Loss: 0.7363
Epoch [24/100], Step[519/526], Loss: 0.7129
Epoch [24/100], Step[520/526], Loss: 0.6759
Epoch [24/100], Step[521/526], Loss: 0.6714
Epoch [24/100], Step[522/526], Loss: 0.6101
Epoch [24/100], Step[523/526], Loss: 0.6465
Epoch [24/100], Step[524/526], Loss: 0.6466
Epoch [24/100], Step[525/526], Loss: 0.7376
Epoch [24/100], Step[526/526], Loss: 0.7031
Epoch [25/100], Step[1/526], Loss: 0.6612
Epoch [25/100], Step[2/526], Loss: 0.6472
Epoch [25/100], Step[3/526], Loss: 0.6774
Epoch [25/100], Step[4/526], Loss: 0.6368
Epoch [25/100], Step[5/526], Loss: 0.7326
Epoch [25/100], Step[6/526], Loss: 0.7360
Epoch [25/100], Step[7/526], Loss: 0.6960
Epoch [25/100], Step[8/526], Loss: 0.6798
Epoch [25/100], Step[9/526], Loss: 0.7071
Epoch [25/100], Step[10/526], Loss: 0.6776
Epoch [25/100], Step[11/526], Loss: 0.6672
Epoch [25/100], Step[12/526], Loss: 0.7182
Epoch [25/100], Step[13/526], Loss: 0.6380
Epoch [25/100], Step[14/526], Loss: 0.6609
Epoch [25/100], Step[15/526], Loss: 0.6872
Epoch [25/100], Step[16/526], Loss: 0.6989
Epoch [25/100], Step[17/526], Loss: 0.7058
Epoch [25/100], Step[18/526], Loss: 0.6852
Epoch [25/100], Step[19/526], Loss: 0.6678
Epoch [25/100], Step[20/526], Loss: 0.7101
Epoch [25/100], Step[21/526], Loss: 0.7442
Epoch [25/100], Step[22/526], Loss: 0.7303
Epoch [25/100], Step[23/526], Loss: 0.7332
Epoch [25/100], Step[24/526], Loss: 0.7116
Epoch [25/100], Step[25/526], Loss: 0.6922
Epoch [25/100], Step[26/526], Loss: 0.6405
Epoch [25/100], Step[27/526], Loss: 0.6889
Epoch [25/100], Step[28/526], Loss: 0.6900
Epoch [25/100], Step[29/526], Loss: 0.6623
Epoch [25/100], Step[30/526], Loss: 0.6944
Epoch [25/100], Step[31/526], Loss: 0.7021
Epoch [25/100], Step[32/526], Loss: 0.6685
Epoch [25/100], Step[33/526], Loss: 0.7093
Epoch [25/100], Step[34/526], Loss: 0.6921
Epoch [25/100], Step[35/526], Loss: 0.7093
Epoch [25/100], Step[36/526], Loss: 0.6951
Epoch [25/100], Step[37/526], Loss: 0.6918
Epoch [25/100], Step[38/526], Loss: 0.7044
Epoch [25/100], Step[39/526], Loss: 0.7005
Epoch [25/100], Step[40/526], Loss: 0.7234
Epoch [25/100], Step[41/526], Loss: 0.6568
Epoch [25/100], Step[42/526], Loss: 0.7256
Epoch [25/100], Step[43/526], Loss: 0.7172
Epoch [25/100], Step[44/526], Loss: 0.6855
Epoch [25/100], Step[45/526], Loss: 0.6863
Epoch [25/100], Step[46/526], Loss: 0.6871
Epoch [25/100], Step[47/526], Loss: 0.7085
Epoch [25/100], Step[48/526], Loss: 0.7232
Epoch [25/100], Step[49/526], Loss: 0.7053
Epoch [25/100], Step[50/526], Loss: 0.7144
Epoch [25/100], Step[51/526], Loss: 0.6953
Epoch [25/100], Step[52/526], Loss: 0.6766
Epoch [25/100], Step[53/526], Loss: 0.7203
Epoch [25/100], Step[54/526], Loss: 0.6983
Epoch [25/100], Step[55/526], Loss: 0.6894
Epoch [25/100], Step[56/526], Loss: 0.6997
Epoch [25/100], Step[57/526], Loss: 0.6856
Epoch [25/100], Step[58/526], Loss: 0.6748
Epoch [25/100], Step[59/526], Loss: 0.6607
Epoch [25/100], Step[60/526], Loss: 0.6705
Epoch [25/100], Step[61/526], Loss: 0.6481
Epoch [25/100], Step[62/526], Loss: 0.6950
Epoch [25/100], Step[63/526], Loss: 0.6861
Epoch [25/100], Step[64/526], Loss: 0.6805
Epoch [25/100], Step[65/526], Loss: 0.7227
Epoch [25/100], Step[66/526], Loss: 0.6834
Epoch [25/100], Step[67/526], Loss: 0.6656
Epoch [25/100], Step[68/526], Loss: 0.6513
Epoch [25/100], Step[69/526], Loss: 0.6971
Epoch [25/100], Step[70/526], Loss: 0.6838
Epoch [25/100], Step[71/526], Loss: 0.6628
Epoch [25/100], Step[72/526], Loss: 0.6783
Epoch [25/100], Step[73/526], Loss: 0.7091
Epoch [25/100], Step[74/526], Loss: 0.6654
Epoch [25/100], Step[75/526], Loss: 0.7073
Epoch [25/100], Step[76/526], Loss: 0.6948
Epoch [25/100], Step[77/526], Loss: 0.6912
Epoch [25/100], Step[78/526], Loss: 0.7087
Epoch [25/100], Step[79/526], Loss: 0.6946
Epoch [25/100], Step[80/526], Loss: 0.6944
Epoch [25/100], Step[81/526], Loss: 0.7052
Epoch [25/100], Step[82/526], Loss: 0.7281
Epoch [25/100], Step[83/526], Loss: 0.7105
Epoch [25/100], Step[84/526], Loss: 0.6984
Epoch [25/100], Step[85/526], Loss: 0.6654
Epoch [25/100], Step[86/526], Loss: 0.7077
Epoch [25/100], Step[87/526], Loss: 0.6797
Epoch [25/100], Step[88/526], Loss: 0.6897
Epoch [25/100], Step[89/526], Loss: 0.7205
Epoch [25/100], Step[90/526], Loss: 0.6859
Epoch [25/100], Step[91/526], Loss: 0.6800
Epoch [25/100], Step[92/526], Loss: 0.6790
Epoch [25/100], Step[93/526], Loss: 0.6851
Epoch [25/100], Step[94/526], Loss: 0.8025
Epoch [25/100], Step[95/526], Loss: 0.7145
Epoch [25/100], Step[96/526], Loss: 0.6263
Epoch [25/100], Step[97/526], Loss: 0.5953
Epoch [25/100], Step[98/526], Loss: 0.6939
Epoch [25/100], Step[99/526], Loss: 0.6845
Epoch [25/100], Step[100/526], Loss: 0.6718
Epoch [25/100], Step[101/526], Loss: 0.6580
Epoch [25/100], Step[102/526], Loss: 0.6268
Epoch [25/100], Step[103/526], Loss: 0.6910
Epoch [25/100], Step[104/526], Loss: 0.6444
Epoch [25/100], Step[105/526], Loss: 0.6416
Epoch [25/100], Step[106/526], Loss: 0.6895
Epoch [25/100], Step[107/526], Loss: 0.6421
Epoch [25/100], Step[108/526], Loss: 0.5838
Epoch [25/100], Step[109/526], Loss: 0.6778
Epoch [25/100], Step[110/526], Loss: 0.6883
Epoch [25/100], Step[111/526], Loss: 0.5906
Epoch [25/100], Step[112/526], Loss: 0.7357
Epoch [25/100], Step[113/526], Loss: 0.6078
Epoch [25/100], Step[114/526], Loss: 0.6577
Epoch [25/100], Step[115/526], Loss: 0.6067
Epoch [25/100], Step[116/526], Loss: 0.6233
Epoch [25/100], Step[117/526], Loss: 0.6544
Epoch [25/100], Step[118/526], Loss: 0.7541
Epoch [25/100], Step[119/526], Loss: 0.6768
Epoch [25/100], Step[120/526], Loss: 0.6781
Epoch [25/100], Step[121/526], Loss: 0.6946
Epoch [25/100], Step[122/526], Loss: 0.6298
Epoch [25/100], Step[123/526], Loss: 0.6496
Epoch [25/100], Step[124/526], Loss: 0.6746
Epoch [25/100], Step[125/526], Loss: 0.6360
Epoch [25/100], Step[126/526], Loss: 0.7160
Epoch [25/100], Step[127/526], Loss: 0.6735
Epoch [25/100], Step[128/526], Loss: 0.6449
Epoch [25/100], Step[129/526], Loss: 0.5940
Epoch [25/100], Step[130/526], Loss: 0.6056
Epoch [25/100], Step[131/526], Loss: 0.6773
Epoch [25/100], Step[132/526], Loss: 0.7235
Epoch [25/100], Step[133/526], Loss: 0.6757
Epoch [25/100], Step[134/526], Loss: 0.6283
Epoch [25/100], Step[135/526], Loss: 0.6475
Epoch [25/100], Step[136/526], Loss: 0.5689
Epoch [25/100], Step[137/526], Loss: 0.6369
Epoch [25/100], Step[138/526], Loss: 0.6532
Epoch [25/100], Step[139/526], Loss: 0.7103
Epoch [25/100], Step[140/526], Loss: 0.5917
Epoch [25/100], Step[141/526], Loss: 0.6822
Epoch [25/100], Step[142/526], Loss: 0.6653
Epoch [25/100], Step[143/526], Loss: 0.6889
Epoch [25/100], Step[144/526], Loss: 0.7795
Epoch [25/100], Step[145/526], Loss: 0.5555
Epoch [25/100], Step[146/526], Loss: 0.5123
Epoch [25/100], Step[147/526], Loss: 0.4649
Epoch [25/100], Step[148/526], Loss: 0.5900
Epoch [25/100], Step[149/526], Loss: 0.5019
Epoch [25/100], Step[150/526], Loss: 0.6165
Epoch [25/100], Step[151/526], Loss: 0.5640
Epoch [25/100], Step[152/526], Loss: 0.6230
Epoch [25/100], Step[153/526], Loss: 0.6321
Epoch [25/100], Step[154/526], Loss: 0.7305
Epoch [25/100], Step[155/526], Loss: 0.7230
Epoch [25/100], Step[156/526], Loss: 0.5233
Epoch [25/100], Step[157/526], Loss: 0.2795
Epoch [25/100], Step[158/526], Loss: 0.6054
Epoch [25/100], Step[159/526], Loss: 0.6701
Epoch [25/100], Step[160/526], Loss: 0.5542
Epoch [25/100], Step[161/526], Loss: 1.0199
Epoch [25/100], Step[162/526], Loss: 0.6906
Epoch [25/100], Step[163/526], Loss: 0.7214
Epoch [25/100], Step[164/526], Loss: 0.6209
Epoch [25/100], Step[165/526], Loss: 0.7271
Epoch [25/100], Step[166/526], Loss: 0.4954
Epoch [25/100], Step[167/526], Loss: 0.5279
Epoch [25/100], Step[168/526], Loss: 0.6869
Epoch [25/100], Step[169/526], Loss: 0.7537
Epoch [25/100], Step[170/526], Loss: 0.7002
Epoch [25/100], Step[171/526], Loss: 0.7239
Epoch [25/100], Step[172/526], Loss: 0.7251
Epoch [25/100], Step[173/526], Loss: 0.8115
Epoch [25/100], Step[174/526], Loss: 0.6275
Epoch [25/100], Step[175/526], Loss: 0.6576
Epoch [25/100], Step[176/526], Loss: 0.6392
Epoch [25/100], Step[177/526], Loss: 0.6559
Epoch [25/100], Step[178/526], Loss: 0.7053
Epoch [25/100], Step[179/526], Loss: 0.6414
Epoch [25/100], Step[180/526], Loss: 0.6785
Epoch [25/100], Step[181/526], Loss: 0.6369
Epoch [25/100], Step[182/526], Loss: 0.6864
Epoch [25/100], Step[183/526], Loss: 0.5257
Epoch [25/100], Step[184/526], Loss: 0.5946
Epoch [25/100], Step[185/526], Loss: 0.5824
Epoch [25/100], Step[186/526], Loss: 0.6629
Epoch [25/100], Step[187/526], Loss: 0.7480
Epoch [25/100], Step[188/526], Loss: 0.7042
Epoch [25/100], Step[189/526], Loss: 0.6831
Epoch [25/100], Step[190/526], Loss: 0.6010
Epoch [25/100], Step[191/526], Loss: 0.7261
Epoch [25/100], Step[192/526], Loss: 0.7711
Epoch [25/100], Step[193/526], Loss: 0.6552
Epoch [25/100], Step[194/526], Loss: 0.6139
Epoch [25/100], Step[195/526], Loss: 0.6519
Epoch [25/100], Step[196/526], Loss: 0.7331
Epoch [25/100], Step[197/526], Loss: 0.6862
Epoch [25/100], Step[198/526], Loss: 0.6328
Epoch [25/100], Step[199/526], Loss: 0.7290
Epoch [25/100], Step[200/526], Loss: 0.6672
Epoch [25/100], Step[201/526], Loss: 0.6790
Epoch [25/100], Step[202/526], Loss: 0.7461
Epoch [25/100], Step[203/526], Loss: 0.7060
Epoch [25/100], Step[204/526], Loss: 0.7395
Epoch [25/100], Step[205/526], Loss: 0.7088
Epoch [25/100], Step[206/526], Loss: 0.6813
Epoch [25/100], Step[207/526], Loss: 0.7081
Epoch [25/100], Step[208/526], Loss: 0.6818
Epoch [25/100], Step[209/526], Loss: 0.6832
Epoch [25/100], Step[210/526], Loss: 0.7794
Epoch [25/100], Step[211/526], Loss: 0.6411
Epoch [25/100], Step[212/526], Loss: 0.6880
Epoch [25/100], Step[213/526], Loss: 0.7177
Epoch [25/100], Step[214/526], Loss: 0.7486
Epoch [25/100], Step[215/526], Loss: 0.6923
Epoch [25/100], Step[216/526], Loss: 0.6806
Epoch [25/100], Step[217/526], Loss: 0.6736
Epoch [25/100], Step[218/526], Loss: 0.6987
Epoch [25/100], Step[219/526], Loss: 0.6984
Epoch [25/100], Step[220/526], Loss: 0.7311
Epoch [25/100], Step[221/526], Loss: 0.6939
Epoch [25/100], Step[222/526], Loss: 0.7496
Epoch [25/100], Step[223/526], Loss: 0.6778
Epoch [25/100], Step[224/526], Loss: 0.6844
Epoch [25/100], Step[225/526], Loss: 0.7259
Epoch [25/100], Step[226/526], Loss: 0.6816
Epoch [25/100], Step[227/526], Loss: 0.6760
Epoch [25/100], Step[228/526], Loss: 0.6696
Epoch [25/100], Step[229/526], Loss: 0.6891
Epoch [25/100], Step[230/526], Loss: 0.6609
Epoch [25/100], Step[231/526], Loss: 0.6670
Epoch [25/100], Step[232/526], Loss: 0.7080
Epoch [25/100], Step[233/526], Loss: 0.6869
Epoch [25/100], Step[234/526], Loss: 0.6824
Epoch [25/100], Step[235/526], Loss: 0.7045
Epoch [25/100], Step[236/526], Loss: 0.6896
Epoch [25/100], Step[237/526], Loss: 0.7190
Epoch [25/100], Step[238/526], Loss: 0.6893
Epoch [25/100], Step[239/526], Loss: 0.6739
Epoch [25/100], Step[240/526], Loss: 0.7240
Epoch [25/100], Step[241/526], Loss: 0.6976
Epoch [25/100], Step[242/526], Loss: 0.7108
Epoch [25/100], Step[243/526], Loss: 0.6589
Epoch [25/100], Step[244/526], Loss: 0.6517
Epoch [25/100], Step[245/526], Loss: 0.6432
Epoch [25/100], Step[246/526], Loss: 0.6661
Epoch [25/100], Step[247/526], Loss: 0.6262
Epoch [25/100], Step[248/526], Loss: 0.6540
Epoch [25/100], Step[249/526], Loss: 0.6653
Epoch [25/100], Step[250/526], Loss: 0.6789
Epoch [25/100], Step[251/526], Loss: 0.6985
Epoch [25/100], Step[252/526], Loss: 0.6942
Epoch [25/100], Step[253/526], Loss: 0.6317
Epoch [25/100], Step[254/526], Loss: 0.6656
Epoch [25/100], Step[255/526], Loss: 0.6053
Epoch [25/100], Step[256/526], Loss: 0.6888
Epoch [25/100], Step[257/526], Loss: 0.6677
Epoch [25/100], Step[258/526], Loss: 0.6391
Epoch [25/100], Step[259/526], Loss: 0.6861
Epoch [25/100], Step[260/526], Loss: 0.7302
Epoch [25/100], Step[261/526], Loss: 0.7497
Epoch [25/100], Step[262/526], Loss: 0.6805
Epoch [25/100], Step[263/526], Loss: 0.6650
Epoch [25/100], Step[264/526], Loss: 0.6455
Epoch [25/100], Step[265/526], Loss: 0.6417
Epoch [25/100], Step[266/526], Loss: 0.6332
Epoch [25/100], Step[267/526], Loss: 0.5035
Epoch [25/100], Step[268/526], Loss: 0.5553
Epoch [25/100], Step[269/526], Loss: 0.4676
Epoch [25/100], Step[270/526], Loss: 0.4046
Epoch [25/100], Step[271/526], Loss: 0.5232
Epoch [25/100], Step[272/526], Loss: 0.5402
Epoch [25/100], Step[273/526], Loss: 0.6278
Epoch [25/100], Step[274/526], Loss: 0.4488
Epoch [25/100], Step[275/526], Loss: 0.4309
Epoch [25/100], Step[276/526], Loss: 0.4762
Epoch [25/100], Step[277/526], Loss: 0.4419
Epoch [25/100], Step[278/526], Loss: 0.4612
Epoch [25/100], Step[279/526], Loss: 0.4094
Epoch [25/100], Step[280/526], Loss: 0.4521
Epoch [25/100], Step[281/526], Loss: 0.6194
Epoch [25/100], Step[282/526], Loss: 0.3693
Epoch [25/100], Step[283/526], Loss: 0.3639
Epoch [25/100], Step[284/526], Loss: 0.4016
Epoch [25/100], Step[285/526], Loss: 0.2860
Epoch [25/100], Step[286/526], Loss: 0.6883
Epoch [25/100], Step[287/526], Loss: 0.4817
Epoch [25/100], Step[288/526], Loss: 0.4391
Epoch [25/100], Step[289/526], Loss: 0.6087
Epoch [25/100], Step[290/526], Loss: 0.4258
Epoch [25/100], Step[291/526], Loss: 0.4862
Epoch [25/100], Step[292/526], Loss: 0.2564
Epoch [25/100], Step[293/526], Loss: 0.3141
Epoch [25/100], Step[294/526], Loss: 0.3290
Epoch [25/100], Step[295/526], Loss: 0.4208
Epoch [25/100], Step[296/526], Loss: 0.6067
Epoch [25/100], Step[297/526], Loss: 0.2862
Epoch [25/100], Step[298/526], Loss: 0.2923
Epoch [25/100], Step[299/526], Loss: 0.2555
Epoch [25/100], Step[300/526], Loss: 0.3148
Epoch [25/100], Step[301/526], Loss: 0.5963
Epoch [25/100], Step[302/526], Loss: 0.3132
Epoch [25/100], Step[303/526], Loss: 0.4860
Epoch [25/100], Step[304/526], Loss: 0.2591
Epoch [25/100], Step[305/526], Loss: 0.2656
Epoch [25/100], Step[306/526], Loss: 0.5713
Epoch [25/100], Step[307/526], Loss: 0.8851
Epoch [25/100], Step[308/526], Loss: 1.3105
Epoch [25/100], Step[309/526], Loss: 0.8898
Epoch [25/100], Step[310/526], Loss: 0.9675
Epoch [25/100], Step[311/526], Loss: 0.8229
Epoch [25/100], Step[312/526], Loss: 0.4982
Epoch [25/100], Step[313/526], Loss: 0.4837
Epoch [25/100], Step[314/526], Loss: 0.6560
Epoch [25/100], Step[315/526], Loss: 0.7023
Epoch [25/100], Step[316/526], Loss: 0.4989
Epoch [25/100], Step[317/526], Loss: 0.3161
Epoch [25/100], Step[318/526], Loss: 0.7458
Epoch [25/100], Step[319/526], Loss: 0.3569
Epoch [25/100], Step[320/526], Loss: 0.5825
Epoch [25/100], Step[321/526], Loss: 0.7311
Epoch [25/100], Step[322/526], Loss: 0.2658
Epoch [25/100], Step[323/526], Loss: 0.6057
Epoch [25/100], Step[324/526], Loss: 0.6616
Epoch [25/100], Step[325/526], Loss: 0.5718
Epoch [25/100], Step[326/526], Loss: 0.7850
Epoch [25/100], Step[327/526], Loss: 0.7310
Epoch [25/100], Step[328/526], Loss: 0.9093
Epoch [25/100], Step[329/526], Loss: 1.2507
Epoch [25/100], Step[330/526], Loss: 0.9982
Epoch [25/100], Step[331/526], Loss: 0.8112
Epoch [25/100], Step[332/526], Loss: 0.8519
Epoch [25/100], Step[333/526], Loss: 0.7802
Epoch [25/100], Step[334/526], Loss: 0.7753
Epoch [25/100], Step[335/526], Loss: 0.8175
Epoch [25/100], Step[336/526], Loss: 0.6990
Epoch [25/100], Step[337/526], Loss: 0.6003
Epoch [25/100], Step[338/526], Loss: 0.7062
Epoch [25/100], Step[339/526], Loss: 0.6482
Epoch [25/100], Step[340/526], Loss: 0.7297
Epoch [25/100], Step[341/526], Loss: 0.7865
Epoch [25/100], Step[342/526], Loss: 0.7903
Epoch [25/100], Step[343/526], Loss: 0.5490
Epoch [25/100], Step[344/526], Loss: 0.7364
Epoch [25/100], Step[345/526], Loss: 0.6534
Epoch [25/100], Step[346/526], Loss: 0.6755
Epoch [25/100], Step[347/526], Loss: 0.7036
Epoch [25/100], Step[348/526], Loss: 0.6392
Epoch [25/100], Step[349/526], Loss: 0.5892
Epoch [25/100], Step[350/526], Loss: 0.6783
Epoch [25/100], Step[351/526], Loss: 0.7177
Epoch [25/100], Step[352/526], Loss: 0.6204
Epoch [25/100], Step[353/526], Loss: 0.6859
Epoch [25/100], Step[354/526], Loss: 0.6717
Epoch [25/100], Step[355/526], Loss: 0.6735
Epoch [25/100], Step[356/526], Loss: 0.7029
Epoch [25/100], Step[357/526], Loss: 0.6597
Epoch [25/100], Step[358/526], Loss: 0.6973
Epoch [25/100], Step[359/526], Loss: 0.6575
Epoch [25/100], Step[360/526], Loss: 0.6733
Epoch [25/100], Step[361/526], Loss: 0.7203
Epoch [25/100], Step[362/526], Loss: 0.7057
Epoch [25/100], Step[363/526], Loss: 0.6922
Epoch [25/100], Step[364/526], Loss: 0.7155
Epoch [25/100], Step[365/526], Loss: 0.7173
Epoch [25/100], Step[366/526], Loss: 0.6868
Epoch [25/100], Step[367/526], Loss: 0.6877
Epoch [25/100], Step[368/526], Loss: 0.6532
Epoch [25/100], Step[369/526], Loss: 0.6597
Epoch [25/100], Step[370/526], Loss: 0.6230
Epoch [25/100], Step[371/526], Loss: 0.7345
Epoch [25/100], Step[372/526], Loss: 0.6465
Epoch [25/100], Step[373/526], Loss: 0.6787
Epoch [25/100], Step[374/526], Loss: 0.7009
Epoch [25/100], Step[375/526], Loss: 0.6508
Epoch [25/100], Step[376/526], Loss: 0.6438
Epoch [25/100], Step[377/526], Loss: 0.6830
Epoch [25/100], Step[378/526], Loss: 0.6945
Epoch [25/100], Step[379/526], Loss: 0.7379
Epoch [25/100], Step[380/526], Loss: 0.6137
Epoch [25/100], Step[381/526], Loss: 0.6016
Epoch [25/100], Step[382/526], Loss: 0.6708
Epoch [25/100], Step[383/526], Loss: 0.6885
Epoch [25/100], Step[384/526], Loss: 0.6356
Epoch [25/100], Step[385/526], Loss: 0.6374
Epoch [25/100], Step[386/526], Loss: 0.6602
Epoch [25/100], Step[387/526], Loss: 0.6625
Epoch [25/100], Step[388/526], Loss: 0.5979
Epoch [25/100], Step[389/526], Loss: 0.7223
Epoch [25/100], Step[390/526], Loss: 0.5995
Epoch [25/100], Step[391/526], Loss: 0.6514
Epoch [25/100], Step[392/526], Loss: 0.7000
Epoch [25/100], Step[393/526], Loss: 0.5903
Epoch [25/100], Step[394/526], Loss: 0.5180
Epoch [25/100], Step[395/526], Loss: 0.6297
Epoch [25/100], Step[396/526], Loss: 0.6314
Epoch [25/100], Step[397/526], Loss: 0.4798
Epoch [25/100], Step[398/526], Loss: 0.6041
Epoch [25/100], Step[399/526], Loss: 0.6583
Epoch [25/100], Step[400/526], Loss: 0.4718
Epoch [25/100], Step[401/526], Loss: 0.5885
Epoch [25/100], Step[402/526], Loss: 0.6329
Epoch [25/100], Step[403/526], Loss: 0.7159
Epoch [25/100], Step[404/526], Loss: 0.4793
Epoch [25/100], Step[405/526], Loss: 0.5057
Epoch [25/100], Step[406/526], Loss: 0.6348
Epoch [25/100], Step[407/526], Loss: 0.7466
Epoch [25/100], Step[408/526], Loss: 0.6508
Epoch [25/100], Step[409/526], Loss: 0.4551
Epoch [25/100], Step[410/526], Loss: 0.4822
Epoch [25/100], Step[411/526], Loss: 0.5333
Epoch [25/100], Step[412/526], Loss: 0.5844
Epoch [25/100], Step[413/526], Loss: 0.5940
Epoch [25/100], Step[414/526], Loss: 0.6283
Epoch [25/100], Step[415/526], Loss: 0.6073
Epoch [25/100], Step[416/526], Loss: 0.5381
Epoch [25/100], Step[417/526], Loss: 0.4608
Epoch [25/100], Step[418/526], Loss: 0.7552
Epoch [25/100], Step[419/526], Loss: 0.6907
Epoch [25/100], Step[420/526], Loss: 0.6813
Epoch [25/100], Step[421/526], Loss: 0.6341
Epoch [25/100], Step[422/526], Loss: 0.8011
Epoch [25/100], Step[423/526], Loss: 0.7071
Epoch [25/100], Step[424/526], Loss: 0.7468
Epoch [25/100], Step[425/526], Loss: 0.7190
Epoch [25/100], Step[426/526], Loss: 0.7680
Epoch [25/100], Step[427/526], Loss: 0.6967
Epoch [25/100], Step[428/526], Loss: 0.7141
Epoch [25/100], Step[429/526], Loss: 0.7388
Epoch [25/100], Step[430/526], Loss: 0.8056
Epoch [25/100], Step[431/526], Loss: 0.7127
Epoch [25/100], Step[432/526], Loss: 0.7310
Epoch [25/100], Step[433/526], Loss: 0.6822
Epoch [25/100], Step[434/526], Loss: 0.6216
Epoch [25/100], Step[435/526], Loss: 0.7911
Epoch [25/100], Step[436/526], Loss: 0.8085
Epoch [25/100], Step[437/526], Loss: 0.5184
Epoch [25/100], Step[438/526], Loss: 0.3617
Epoch [25/100], Step[439/526], Loss: 0.7385
Epoch [25/100], Step[440/526], Loss: 0.6847
Epoch [25/100], Step[441/526], Loss: 0.7077
Epoch [25/100], Step[442/526], Loss: 0.6389
Epoch [25/100], Step[443/526], Loss: 0.6683
Epoch [25/100], Step[444/526], Loss: 0.7601
Epoch [25/100], Step[445/526], Loss: 0.6999
Epoch [25/100], Step[446/526], Loss: 0.7200
Epoch [25/100], Step[447/526], Loss: 0.7214
Epoch [25/100], Step[448/526], Loss: 0.7409
Epoch [25/100], Step[449/526], Loss: 0.6925
Epoch [25/100], Step[450/526], Loss: 0.6018
Epoch [25/100], Step[451/526], Loss: 0.6483
Epoch [25/100], Step[452/526], Loss: 0.7297
Epoch [25/100], Step[453/526], Loss: 0.7189
Epoch [25/100], Step[454/526], Loss: 0.8075
Epoch [25/100], Step[455/526], Loss: 0.6619
Epoch [25/100], Step[456/526], Loss: 0.6354
Epoch [25/100], Step[457/526], Loss: 0.6958
Epoch [25/100], Step[458/526], Loss: 0.6656
Epoch [25/100], Step[459/526], Loss: 0.6637
Epoch [25/100], Step[460/526], Loss: 0.6438
Epoch [25/100], Step[461/526], Loss: 0.6185
Epoch [25/100], Step[462/526], Loss: 0.6725
Epoch [25/100], Step[463/526], Loss: 0.6503
Epoch [25/100], Step[464/526], Loss: 0.6479
Epoch [25/100], Step[465/526], Loss: 0.6623
Epoch [25/100], Step[466/526], Loss: 0.6595
Epoch [25/100], Step[467/526], Loss: 0.6504
Epoch [25/100], Step[468/526], Loss: 0.6285
Epoch [25/100], Step[469/526], Loss: 0.7989
Epoch [25/100], Step[470/526], Loss: 0.6590
Epoch [25/100], Step[471/526], Loss: 0.6976
Epoch [25/100], Step[472/526], Loss: 0.6715
Epoch [25/100], Step[473/526], Loss: 0.6795
Epoch [25/100], Step[474/526], Loss: 0.6746
Epoch [25/100], Step[475/526], Loss: 0.8140
Epoch [25/100], Step[476/526], Loss: 0.7530
Epoch [25/100], Step[477/526], Loss: 0.7011
Epoch [25/100], Step[478/526], Loss: 0.6903
Epoch [25/100], Step[479/526], Loss: 0.6650
Epoch [25/100], Step[480/526], Loss: 0.7364
Epoch [25/100], Step[481/526], Loss: 0.7150
Epoch [25/100], Step[482/526], Loss: 0.6296
Epoch [25/100], Step[483/526], Loss: 0.5584
Epoch [25/100], Step[484/526], Loss: 0.6892
Epoch [25/100], Step[485/526], Loss: 0.7825
Epoch [25/100], Step[486/526], Loss: 0.7175
Epoch [25/100], Step[487/526], Loss: 0.7222
Epoch [25/100], Step[488/526], Loss: 0.7104
Epoch [25/100], Step[489/526], Loss: 0.6577
Epoch [25/100], Step[490/526], Loss: 0.6167
Epoch [25/100], Step[491/526], Loss: 0.6993
Epoch [25/100], Step[492/526], Loss: 0.6548
Epoch [25/100], Step[493/526], Loss: 0.6503
Epoch [25/100], Step[494/526], Loss: 0.6596
Epoch [25/100], Step[495/526], Loss: 0.6868
Epoch [25/100], Step[496/526], Loss: 0.6673
Epoch [25/100], Step[497/526], Loss: 0.6398
Epoch [25/100], Step[498/526], Loss: 0.6798
Epoch [25/100], Step[499/526], Loss: 0.6736
Epoch [25/100], Step[500/526], Loss: 0.6779
Epoch [25/100], Step[501/526], Loss: 0.6588
Epoch [25/100], Step[502/526], Loss: 0.6961
Epoch [25/100], Step[503/526], Loss: 0.7096
Epoch [25/100], Step[504/526], Loss: 0.6962
Epoch [25/100], Step[505/526], Loss: 0.7082
Epoch [25/100], Step[506/526], Loss: 0.6865
Epoch [25/100], Step[507/526], Loss: 0.6747
Epoch [25/100], Step[508/526], Loss: 0.7092
Epoch [25/100], Step[509/526], Loss: 0.6617
Epoch [25/100], Step[510/526], Loss: 0.7027
Epoch [25/100], Step[511/526], Loss: 0.6449
Epoch [25/100], Step[512/526], Loss: 0.6750
Epoch [25/100], Step[513/526], Loss: 0.6456
Epoch [25/100], Step[514/526], Loss: 0.6519
Epoch [25/100], Step[515/526], Loss: 0.5827
Epoch [25/100], Step[516/526], Loss: 0.7469
Epoch [25/100], Step[517/526], Loss: 0.6917
Epoch [25/100], Step[518/526], Loss: 0.7359
Epoch [25/100], Step[519/526], Loss: 0.7134
Epoch [25/100], Step[520/526], Loss: 0.6915
Epoch [25/100], Step[521/526], Loss: 0.6731
Epoch [25/100], Step[522/526], Loss: 0.6103
Epoch [25/100], Step[523/526], Loss: 0.6520
Epoch [25/100], Step[524/526], Loss: 0.6487
Epoch [25/100], Step[525/526], Loss: 0.7373
Epoch [25/100], Step[526/526], Loss: 0.7033
Epoch [26/100], Step[1/526], Loss: 0.6607
Epoch [26/100], Step[2/526], Loss: 0.6471
Epoch [26/100], Step[3/526], Loss: 0.6785
Epoch [26/100], Step[4/526], Loss: 0.6360
Epoch [26/100], Step[5/526], Loss: 0.7336
Epoch [26/100], Step[6/526], Loss: 0.7373
Epoch [26/100], Step[7/526], Loss: 0.6959
Epoch [26/100], Step[8/526], Loss: 0.6801
Epoch [26/100], Step[9/526], Loss: 0.7071
Epoch [26/100], Step[10/526], Loss: 0.6771
Epoch [26/100], Step[11/526], Loss: 0.6672
Epoch [26/100], Step[12/526], Loss: 0.7185
Epoch [26/100], Step[13/526], Loss: 0.6369
Epoch [26/100], Step[14/526], Loss: 0.6617
Epoch [26/100], Step[15/526], Loss: 0.6873
Epoch [26/100], Step[16/526], Loss: 0.7003
Epoch [26/100], Step[17/526], Loss: 0.7052
Epoch [26/100], Step[18/526], Loss: 0.6865
Epoch [26/100], Step[19/526], Loss: 0.6694
Epoch [26/100], Step[20/526], Loss: 0.7105
Epoch [26/100], Step[21/526], Loss: 0.7463
Epoch [26/100], Step[22/526], Loss: 0.7310
Epoch [26/100], Step[23/526], Loss: 0.7345
Epoch [26/100], Step[24/526], Loss: 0.7124
Epoch [26/100], Step[25/526], Loss: 0.6927
Epoch [26/100], Step[26/526], Loss: 0.6402
Epoch [26/100], Step[27/526], Loss: 0.6882
Epoch [26/100], Step[28/526], Loss: 0.6902
Epoch [26/100], Step[29/526], Loss: 0.6627
Epoch [26/100], Step[30/526], Loss: 0.6943
Epoch [26/100], Step[31/526], Loss: 0.7023
Epoch [26/100], Step[32/526], Loss: 0.6692
Epoch [26/100], Step[33/526], Loss: 0.7096
Epoch [26/100], Step[34/526], Loss: 0.6925
Epoch [26/100], Step[35/526], Loss: 0.7095
Epoch [26/100], Step[36/526], Loss: 0.6958
Epoch [26/100], Step[37/526], Loss: 0.6920
Epoch [26/100], Step[38/526], Loss: 0.7055
Epoch [26/100], Step[39/526], Loss: 0.6996
Epoch [26/100], Step[40/526], Loss: 0.7243
Epoch [26/100], Step[41/526], Loss: 0.6565
Epoch [26/100], Step[42/526], Loss: 0.7262
Epoch [26/100], Step[43/526], Loss: 0.7176
Epoch [26/100], Step[44/526], Loss: 0.6857
Epoch [26/100], Step[45/526], Loss: 0.6865
Epoch [26/100], Step[46/526], Loss: 0.6859
Epoch [26/100], Step[47/526], Loss: 0.7086
Epoch [26/100], Step[48/526], Loss: 0.7235
Epoch [26/100], Step[49/526], Loss: 0.7063
Epoch [26/100], Step[50/526], Loss: 0.7148
Epoch [26/100], Step[51/526], Loss: 0.6960
Epoch [26/100], Step[52/526], Loss: 0.6759
Epoch [26/100], Step[53/526], Loss: 0.7201
Epoch [26/100], Step[54/526], Loss: 0.6991
Epoch [26/100], Step[55/526], Loss: 0.6891
Epoch [26/100], Step[56/526], Loss: 0.7008
Epoch [26/100], Step[57/526], Loss: 0.6850
Epoch [26/100], Step[58/526], Loss: 0.6748
Epoch [26/100], Step[59/526], Loss: 0.6605
Epoch [26/100], Step[60/526], Loss: 0.6699
Epoch [26/100], Step[61/526], Loss: 0.6476
Epoch [26/100], Step[62/526], Loss: 0.6952
Epoch [26/100], Step[63/526], Loss: 0.6857
Epoch [26/100], Step[64/526], Loss: 0.6801
Epoch [26/100], Step[65/526], Loss: 0.7235
Epoch [26/100], Step[66/526], Loss: 0.6828
Epoch [26/100], Step[67/526], Loss: 0.6656
Epoch [26/100], Step[68/526], Loss: 0.6515
Epoch [26/100], Step[69/526], Loss: 0.6978
Epoch [26/100], Step[70/526], Loss: 0.6840
Epoch [26/100], Step[71/526], Loss: 0.6624
Epoch [26/100], Step[72/526], Loss: 0.6785
Epoch [26/100], Step[73/526], Loss: 0.7097
Epoch [26/100], Step[74/526], Loss: 0.6648
Epoch [26/100], Step[75/526], Loss: 0.7069
Epoch [26/100], Step[76/526], Loss: 0.6945
Epoch [26/100], Step[77/526], Loss: 0.6915
Epoch [26/100], Step[78/526], Loss: 0.7086
Epoch [26/100], Step[79/526], Loss: 0.6927
Epoch [26/100], Step[80/526], Loss: 0.6945
Epoch [26/100], Step[81/526], Loss: 0.7051
Epoch [26/100], Step[82/526], Loss: 0.7283
Epoch [26/100], Step[83/526], Loss: 0.7076
Epoch [26/100], Step[84/526], Loss: 0.6981
Epoch [26/100], Step[85/526], Loss: 0.6622
Epoch [26/100], Step[86/526], Loss: 0.7078
Epoch [26/100], Step[87/526], Loss: 0.6778
Epoch [26/100], Step[88/526], Loss: 0.6925
Epoch [26/100], Step[89/526], Loss: 0.7197
Epoch [26/100], Step[90/526], Loss: 0.6898
Epoch [26/100], Step[91/526], Loss: 0.6767
Epoch [26/100], Step[92/526], Loss: 0.6859
Epoch [26/100], Step[93/526], Loss: 0.6859
Epoch [26/100], Step[94/526], Loss: 0.8035
Epoch [26/100], Step[95/526], Loss: 0.7170
Epoch [26/100], Step[96/526], Loss: 0.6274
Epoch [26/100], Step[97/526], Loss: 0.5951
Epoch [26/100], Step[98/526], Loss: 0.6945
Epoch [26/100], Step[99/526], Loss: 0.6843
Epoch [26/100], Step[100/526], Loss: 0.6713
Epoch [26/100], Step[101/526], Loss: 0.6583
Epoch [26/100], Step[102/526], Loss: 0.6272
Epoch [26/100], Step[103/526], Loss: 0.6922
Epoch [26/100], Step[104/526], Loss: 0.6451
Epoch [26/100], Step[105/526], Loss: 0.6409
Epoch [26/100], Step[106/526], Loss: 0.6897
Epoch [26/100], Step[107/526], Loss: 0.6407
Epoch [26/100], Step[108/526], Loss: 0.5823
Epoch [26/100], Step[109/526], Loss: 0.6762
Epoch [26/100], Step[110/526], Loss: 0.6862
Epoch [26/100], Step[111/526], Loss: 0.5913
Epoch [26/100], Step[112/526], Loss: 0.7353
Epoch [26/100], Step[113/526], Loss: 0.6072
Epoch [26/100], Step[114/526], Loss: 0.6572
Epoch [26/100], Step[115/526], Loss: 0.6055
Epoch [26/100], Step[116/526], Loss: 0.6232
Epoch [26/100], Step[117/526], Loss: 0.6558
Epoch [26/100], Step[118/526], Loss: 0.7549
Epoch [26/100], Step[119/526], Loss: 0.6767
Epoch [26/100], Step[120/526], Loss: 0.6767
Epoch [26/100], Step[121/526], Loss: 0.6948
Epoch [26/100], Step[122/526], Loss: 0.6290
Epoch [26/100], Step[123/526], Loss: 0.6497
Epoch [26/100], Step[124/526], Loss: 0.6744
Epoch [26/100], Step[125/526], Loss: 0.6355
Epoch [26/100], Step[126/526], Loss: 0.7167
Epoch [26/100], Step[127/526], Loss: 0.6737
Epoch [26/100], Step[128/526], Loss: 0.6441
Epoch [26/100], Step[129/526], Loss: 0.5936
Epoch [26/100], Step[130/526], Loss: 0.6057
Epoch [26/100], Step[131/526], Loss: 0.6768
Epoch [26/100], Step[132/526], Loss: 0.7236
Epoch [26/100], Step[133/526], Loss: 0.6759
Epoch [26/100], Step[134/526], Loss: 0.6280
Epoch [26/100], Step[135/526], Loss: 0.6463
Epoch [26/100], Step[136/526], Loss: 0.5678
Epoch [26/100], Step[137/526], Loss: 0.6363
Epoch [26/100], Step[138/526], Loss: 0.6531
Epoch [26/100], Step[139/526], Loss: 0.7110
Epoch [26/100], Step[140/526], Loss: 0.5903
Epoch [26/100], Step[141/526], Loss: 0.6827
Epoch [26/100], Step[142/526], Loss: 0.6645
Epoch [26/100], Step[143/526], Loss: 0.6899
Epoch [26/100], Step[144/526], Loss: 0.7816
Epoch [26/100], Step[145/526], Loss: 0.5611
Epoch [26/100], Step[146/526], Loss: 0.5105
Epoch [26/100], Step[147/526], Loss: 0.4624
Epoch [26/100], Step[148/526], Loss: 0.5910
Epoch [26/100], Step[149/526], Loss: 0.5018
Epoch [26/100], Step[150/526], Loss: 0.6148
Epoch [26/100], Step[151/526], Loss: 0.5620
Epoch [26/100], Step[152/526], Loss: 0.6227
Epoch [26/100], Step[153/526], Loss: 0.6316
Epoch [26/100], Step[154/526], Loss: 0.7314
Epoch [26/100], Step[155/526], Loss: 0.7239
Epoch [26/100], Step[156/526], Loss: 0.5233
Epoch [26/100], Step[157/526], Loss: 0.2780
Epoch [26/100], Step[158/526], Loss: 0.6050
Epoch [26/100], Step[159/526], Loss: 0.6697
Epoch [26/100], Step[160/526], Loss: 0.5542
Epoch [26/100], Step[161/526], Loss: 1.0106
Epoch [26/100], Step[162/526], Loss: 0.6910
Epoch [26/100], Step[163/526], Loss: 0.7216
Epoch [26/100], Step[164/526], Loss: 0.6215
Epoch [26/100], Step[165/526], Loss: 0.7274
Epoch [26/100], Step[166/526], Loss: 0.4972
Epoch [26/100], Step[167/526], Loss: 0.5290
Epoch [26/100], Step[168/526], Loss: 0.6849
Epoch [26/100], Step[169/526], Loss: 0.7528
Epoch [26/100], Step[170/526], Loss: 0.6991
Epoch [26/100], Step[171/526], Loss: 0.7238
Epoch [26/100], Step[172/526], Loss: 0.7248
Epoch [26/100], Step[173/526], Loss: 0.8127
Epoch [26/100], Step[174/526], Loss: 0.6280
Epoch [26/100], Step[175/526], Loss: 0.6577
Epoch [26/100], Step[176/526], Loss: 0.6374
Epoch [26/100], Step[177/526], Loss: 0.6544
Epoch [26/100], Step[178/526], Loss: 0.7035
Epoch [26/100], Step[179/526], Loss: 0.6401
Epoch [26/100], Step[180/526], Loss: 0.6779
Epoch [26/100], Step[181/526], Loss: 0.6373
Epoch [26/100], Step[182/526], Loss: 0.6861
Epoch [26/100], Step[183/526], Loss: 0.5263
Epoch [26/100], Step[184/526], Loss: 0.5948
Epoch [26/100], Step[185/526], Loss: 0.5823
Epoch [26/100], Step[186/526], Loss: 0.6627
Epoch [26/100], Step[187/526], Loss: 0.7491
Epoch [26/100], Step[188/526], Loss: 0.7037
Epoch [26/100], Step[189/526], Loss: 0.6826
Epoch [26/100], Step[190/526], Loss: 0.6020
Epoch [26/100], Step[191/526], Loss: 0.7239
Epoch [26/100], Step[192/526], Loss: 0.7693
Epoch [26/100], Step[193/526], Loss: 0.6548
Epoch [26/100], Step[194/526], Loss: 0.6133
Epoch [26/100], Step[195/526], Loss: 0.6516
Epoch [26/100], Step[196/526], Loss: 0.7317
Epoch [26/100], Step[197/526], Loss: 0.6868
Epoch [26/100], Step[198/526], Loss: 0.6330
Epoch [26/100], Step[199/526], Loss: 0.7306
Epoch [26/100], Step[200/526], Loss: 0.6672
Epoch [26/100], Step[201/526], Loss: 0.6787
Epoch [26/100], Step[202/526], Loss: 0.7446
Epoch [26/100], Step[203/526], Loss: 0.7060
Epoch [26/100], Step[204/526], Loss: 0.7349
Epoch [26/100], Step[205/526], Loss: 0.7071
Epoch [26/100], Step[206/526], Loss: 0.6814
Epoch [26/100], Step[207/526], Loss: 0.7086
Epoch [26/100], Step[208/526], Loss: 0.6819
Epoch [26/100], Step[209/526], Loss: 0.6830
Epoch [26/100], Step[210/526], Loss: 0.7777
Epoch [26/100], Step[211/526], Loss: 0.6413
Epoch [26/100], Step[212/526], Loss: 0.6878
Epoch [26/100], Step[213/526], Loss: 0.7174
Epoch [26/100], Step[214/526], Loss: 0.7481
Epoch [26/100], Step[215/526], Loss: 0.6916
Epoch [26/100], Step[216/526], Loss: 0.6805
Epoch [26/100], Step[217/526], Loss: 0.6736
Epoch [26/100], Step[218/526], Loss: 0.6990
Epoch [26/100], Step[219/526], Loss: 0.6983
Epoch [26/100], Step[220/526], Loss: 0.7306
Epoch [26/100], Step[221/526], Loss: 0.6937
Epoch [26/100], Step[222/526], Loss: 0.7485
Epoch [26/100], Step[223/526], Loss: 0.6782
Epoch [26/100], Step[224/526], Loss: 0.6849
Epoch [26/100], Step[225/526], Loss: 0.7255
Epoch [26/100], Step[226/526], Loss: 0.6812
Epoch [26/100], Step[227/526], Loss: 0.6759
Epoch [26/100], Step[228/526], Loss: 0.6695
Epoch [26/100], Step[229/526], Loss: 0.6892
Epoch [26/100], Step[230/526], Loss: 0.6614
Epoch [26/100], Step[231/526], Loss: 0.6671
Epoch [26/100], Step[232/526], Loss: 0.7077
Epoch [26/100], Step[233/526], Loss: 0.6873
Epoch [26/100], Step[234/526], Loss: 0.6830
Epoch [26/100], Step[235/526], Loss: 0.7056
Epoch [26/100], Step[236/526], Loss: 0.6902
Epoch [26/100], Step[237/526], Loss: 0.7188
Epoch [26/100], Step[238/526], Loss: 0.6895
Epoch [26/100], Step[239/526], Loss: 0.6738
Epoch [26/100], Step[240/526], Loss: 0.7241
Epoch [26/100], Step[241/526], Loss: 0.6982
Epoch [26/100], Step[242/526], Loss: 0.7102
Epoch [26/100], Step[243/526], Loss: 0.6133
Epoch [26/100], Step[244/526], Loss: 0.6519
Epoch [26/100], Step[245/526], Loss: 0.6439
Epoch [26/100], Step[246/526], Loss: 0.6651
Epoch [26/100], Step[247/526], Loss: 0.6267
Epoch [26/100], Step[248/526], Loss: 0.6551
Epoch [26/100], Step[249/526], Loss: 0.6658
Epoch [26/100], Step[250/526], Loss: 0.6792
Epoch [26/100], Step[251/526], Loss: 0.6992
Epoch [26/100], Step[252/526], Loss: 0.6943
Epoch [26/100], Step[253/526], Loss: 0.6324
Epoch [26/100], Step[254/526], Loss: 0.6653
Epoch [26/100], Step[255/526], Loss: 0.6064
Epoch [26/100], Step[256/526], Loss: 0.6877
Epoch [26/100], Step[257/526], Loss: 0.6635
Epoch [26/100], Step[258/526], Loss: 0.6399
Epoch [26/100], Step[259/526], Loss: 0.6862
Epoch [26/100], Step[260/526], Loss: 0.7302
Epoch [26/100], Step[261/526], Loss: 0.7479
Epoch [26/100], Step[262/526], Loss: 0.6813
Epoch [26/100], Step[263/526], Loss: 0.6656
Epoch [26/100], Step[264/526], Loss: 0.6479
Epoch [26/100], Step[265/526], Loss: 0.6438
Epoch [26/100], Step[266/526], Loss: 0.6363
Epoch [26/100], Step[267/526], Loss: 0.5012
Epoch [26/100], Step[268/526], Loss: 0.5559
Epoch [26/100], Step[269/526], Loss: 0.4673
Epoch [26/100], Step[270/526], Loss: 0.4045
Epoch [26/100], Step[271/526], Loss: 0.5231
Epoch [26/100], Step[272/526], Loss: 0.5398
Epoch [26/100], Step[273/526], Loss: 0.6281
Epoch [26/100], Step[274/526], Loss: 0.4478
Epoch [26/100], Step[275/526], Loss: 0.4298
Epoch [26/100], Step[276/526], Loss: 0.4748
Epoch [26/100], Step[277/526], Loss: 0.4423
Epoch [26/100], Step[278/526], Loss: 0.4591
Epoch [26/100], Step[279/526], Loss: 0.4073
Epoch [26/100], Step[280/526], Loss: 0.4508
Epoch [26/100], Step[281/526], Loss: 0.6193
Epoch [26/100], Step[282/526], Loss: 0.3678
Epoch [26/100], Step[283/526], Loss: 0.3639
Epoch [26/100], Step[284/526], Loss: 0.4003
Epoch [26/100], Step[285/526], Loss: 0.2847
Epoch [26/100], Step[286/526], Loss: 0.6884
Epoch [26/100], Step[287/526], Loss: 0.4816
Epoch [26/100], Step[288/526], Loss: 0.4389
Epoch [26/100], Step[289/526], Loss: 0.6092
Epoch [26/100], Step[290/526], Loss: 0.4256
Epoch [26/100], Step[291/526], Loss: 0.4845
Epoch [26/100], Step[292/526], Loss: 0.2549
Epoch [26/100], Step[293/526], Loss: 0.3133
Epoch [26/100], Step[294/526], Loss: 0.3283
Epoch [26/100], Step[295/526], Loss: 0.4197
Epoch [26/100], Step[296/526], Loss: 0.6035
Epoch [26/100], Step[297/526], Loss: 0.2855
Epoch [26/100], Step[298/526], Loss: 0.2916
Epoch [26/100], Step[299/526], Loss: 0.2547
Epoch [26/100], Step[300/526], Loss: 0.3143
Epoch [26/100], Step[301/526], Loss: 0.5965
Epoch [26/100], Step[302/526], Loss: 0.3123
Epoch [26/100], Step[303/526], Loss: 0.4870
Epoch [26/100], Step[304/526], Loss: 0.2588
Epoch [26/100], Step[305/526], Loss: 0.2642
Epoch [26/100], Step[306/526], Loss: 0.5734
Epoch [26/100], Step[307/526], Loss: 0.8859
Epoch [26/100], Step[308/526], Loss: 1.3136
Epoch [26/100], Step[309/526], Loss: 0.8767
Epoch [26/100], Step[310/526], Loss: 0.9688
Epoch [26/100], Step[311/526], Loss: 0.8342
Epoch [26/100], Step[312/526], Loss: 0.4980
Epoch [26/100], Step[313/526], Loss: 0.4864
Epoch [26/100], Step[314/526], Loss: 0.6569
Epoch [26/100], Step[315/526], Loss: 0.7027
Epoch [26/100], Step[316/526], Loss: 0.4972
Epoch [26/100], Step[317/526], Loss: 0.3162
Epoch [26/100], Step[318/526], Loss: 0.7482
Epoch [26/100], Step[319/526], Loss: 0.3559
Epoch [26/100], Step[320/526], Loss: 0.5811
Epoch [26/100], Step[321/526], Loss: 0.7322
Epoch [26/100], Step[322/526], Loss: 0.2634
Epoch [26/100], Step[323/526], Loss: 0.6062
Epoch [26/100], Step[324/526], Loss: 0.6621
Epoch [26/100], Step[325/526], Loss: 0.5697
Epoch [26/100], Step[326/526], Loss: 0.7884
Epoch [26/100], Step[327/526], Loss: 0.7314
Epoch [26/100], Step[328/526], Loss: 0.9116
Epoch [26/100], Step[329/526], Loss: 1.2590
Epoch [26/100], Step[330/526], Loss: 1.0062
Epoch [26/100], Step[331/526], Loss: 0.8126
Epoch [26/100], Step[332/526], Loss: 0.8540
Epoch [26/100], Step[333/526], Loss: 0.7835
Epoch [26/100], Step[334/526], Loss: 0.7805
Epoch [26/100], Step[335/526], Loss: 0.8173
Epoch [26/100], Step[336/526], Loss: 0.7011
Epoch [26/100], Step[337/526], Loss: 0.6003
Epoch [26/100], Step[338/526], Loss: 0.7058
Epoch [26/100], Step[339/526], Loss: 0.6502
Epoch [26/100], Step[340/526], Loss: 0.7321
Epoch [26/100], Step[341/526], Loss: 0.7927
Epoch [26/100], Step[342/526], Loss: 0.7950
Epoch [26/100], Step[343/526], Loss: 0.5480
Epoch [26/100], Step[344/526], Loss: 0.7386
Epoch [26/100], Step[345/526], Loss: 0.6505
Epoch [26/100], Step[346/526], Loss: 0.6938
Epoch [26/100], Step[347/526], Loss: 0.7034
Epoch [26/100], Step[348/526], Loss: 0.6394
Epoch [26/100], Step[349/526], Loss: 0.5828
Epoch [26/100], Step[350/526], Loss: 0.6779
Epoch [26/100], Step[351/526], Loss: 0.7167
Epoch [26/100], Step[352/526], Loss: 0.6152
Epoch [26/100], Step[353/526], Loss: 0.6883
Epoch [26/100], Step[354/526], Loss: 0.6739
Epoch [26/100], Step[355/526], Loss: 0.6748
Epoch [26/100], Step[356/526], Loss: 0.6997
Epoch [26/100], Step[357/526], Loss: 0.6625
Epoch [26/100], Step[358/526], Loss: 0.7015
Epoch [26/100], Step[359/526], Loss: 0.6625
Epoch [26/100], Step[360/526], Loss: 0.6726
Epoch [26/100], Step[361/526], Loss: 0.7336
Epoch [26/100], Step[362/526], Loss: 0.7046
Epoch [26/100], Step[363/526], Loss: 0.6926
Epoch [26/100], Step[364/526], Loss: 0.7153
Epoch [26/100], Step[365/526], Loss: 0.7167
Epoch [26/100], Step[366/526], Loss: 0.6841
Epoch [26/100], Step[367/526], Loss: 0.6874
Epoch [26/100], Step[368/526], Loss: 0.6513
Epoch [26/100], Step[369/526], Loss: 0.6592
Epoch [26/100], Step[370/526], Loss: 0.6329
Epoch [26/100], Step[371/526], Loss: 0.7342
Epoch [26/100], Step[372/526], Loss: 0.6459
Epoch [26/100], Step[373/526], Loss: 0.6774
Epoch [26/100], Step[374/526], Loss: 0.6999
Epoch [26/100], Step[375/526], Loss: 0.6501
Epoch [26/100], Step[376/526], Loss: 0.6473
Epoch [26/100], Step[377/526], Loss: 0.6825
Epoch [26/100], Step[378/526], Loss: 0.6949
Epoch [26/100], Step[379/526], Loss: 0.7379
Epoch [26/100], Step[380/526], Loss: 0.6128
Epoch [26/100], Step[381/526], Loss: 0.5977
Epoch [26/100], Step[382/526], Loss: 0.6703
Epoch [26/100], Step[383/526], Loss: 0.6933
Epoch [26/100], Step[384/526], Loss: 0.6350
Epoch [26/100], Step[385/526], Loss: 0.6321
Epoch [26/100], Step[386/526], Loss: 0.6581
Epoch [26/100], Step[387/526], Loss: 0.6582
Epoch [26/100], Step[388/526], Loss: 0.6001
Epoch [26/100], Step[389/526], Loss: 0.7204
Epoch [26/100], Step[390/526], Loss: 0.5912
Epoch [26/100], Step[391/526], Loss: 0.6499
Epoch [26/100], Step[392/526], Loss: 0.7004
Epoch [26/100], Step[393/526], Loss: 0.5899
Epoch [26/100], Step[394/526], Loss: 0.5163
Epoch [26/100], Step[395/526], Loss: 0.6234
Epoch [26/100], Step[396/526], Loss: 0.6313
Epoch [26/100], Step[397/526], Loss: 0.4776
Epoch [26/100], Step[398/526], Loss: 0.6021
Epoch [26/100], Step[399/526], Loss: 0.6585
Epoch [26/100], Step[400/526], Loss: 0.4726
Epoch [26/100], Step[401/526], Loss: 0.5909
Epoch [26/100], Step[402/526], Loss: 0.6324
Epoch [26/100], Step[403/526], Loss: 0.7181
Epoch [26/100], Step[404/526], Loss: 0.4812
Epoch [26/100], Step[405/526], Loss: 0.5061
Epoch [26/100], Step[406/526], Loss: 0.6337
Epoch [26/100], Step[407/526], Loss: 0.7484
Epoch [26/100], Step[408/526], Loss: 0.6521
Epoch [26/100], Step[409/526], Loss: 0.4597
Epoch [26/100], Step[410/526], Loss: 0.4847
Epoch [26/100], Step[411/526], Loss: 0.5338
Epoch [26/100], Step[412/526], Loss: 0.5851
Epoch [26/100], Step[413/526], Loss: 0.5929
Epoch [26/100], Step[414/526], Loss: 0.6285
Epoch [26/100], Step[415/526], Loss: 0.6115
Epoch [26/100], Step[416/526], Loss: 0.5413
Epoch [26/100], Step[417/526], Loss: 0.4603
Epoch [26/100], Step[418/526], Loss: 0.7583
Epoch [26/100], Step[419/526], Loss: 0.6891
Epoch [26/100], Step[420/526], Loss: 0.6866
Epoch [26/100], Step[421/526], Loss: 0.6339
Epoch [26/100], Step[422/526], Loss: 0.7947
Epoch [26/100], Step[423/526], Loss: 0.7046
Epoch [26/100], Step[424/526], Loss: 0.7448
Epoch [26/100], Step[425/526], Loss: 0.7161
Epoch [26/100], Step[426/526], Loss: 0.7673
Epoch [26/100], Step[427/526], Loss: 0.6937
Epoch [26/100], Step[428/526], Loss: 0.7126
Epoch [26/100], Step[429/526], Loss: 0.7363
Epoch [26/100], Step[430/526], Loss: 0.7941
Epoch [26/100], Step[431/526], Loss: 0.7132
Epoch [26/100], Step[432/526], Loss: 0.7304
Epoch [26/100], Step[433/526], Loss: 0.6827
Epoch [26/100], Step[434/526], Loss: 0.6225
Epoch [26/100], Step[435/526], Loss: 0.7918
Epoch [26/100], Step[436/526], Loss: 0.8109
Epoch [26/100], Step[437/526], Loss: 0.5149
Epoch [26/100], Step[438/526], Loss: 0.3626
Epoch [26/100], Step[439/526], Loss: 0.7375
Epoch [26/100], Step[440/526], Loss: 0.6936
Epoch [26/100], Step[441/526], Loss: 0.6984
Epoch [26/100], Step[442/526], Loss: 0.6396
Epoch [26/100], Step[443/526], Loss: 0.6653
Epoch [26/100], Step[444/526], Loss: 0.7611
Epoch [26/100], Step[445/526], Loss: 0.7002
Epoch [26/100], Step[446/526], Loss: 0.7213
Epoch [26/100], Step[447/526], Loss: 0.7208
Epoch [26/100], Step[448/526], Loss: 0.7392
Epoch [26/100], Step[449/526], Loss: 0.6908
Epoch [26/100], Step[450/526], Loss: 0.5991
Epoch [26/100], Step[451/526], Loss: 0.6505
Epoch [26/100], Step[452/526], Loss: 0.7302
Epoch [26/100], Step[453/526], Loss: 0.7157
Epoch [26/100], Step[454/526], Loss: 0.8042
Epoch [26/100], Step[455/526], Loss: 0.6652
Epoch [26/100], Step[456/526], Loss: 0.6531
Epoch [26/100], Step[457/526], Loss: 0.7028
Epoch [26/100], Step[458/526], Loss: 0.6658
Epoch [26/100], Step[459/526], Loss: 0.6634
Epoch [26/100], Step[460/526], Loss: 0.6425
Epoch [26/100], Step[461/526], Loss: 0.6187
Epoch [26/100], Step[462/526], Loss: 0.6737
Epoch [26/100], Step[463/526], Loss: 0.6418
Epoch [26/100], Step[464/526], Loss: 0.6465
Epoch [26/100], Step[465/526], Loss: 0.6559
Epoch [26/100], Step[466/526], Loss: 0.6555
Epoch [26/100], Step[467/526], Loss: 0.6543
Epoch [26/100], Step[468/526], Loss: 0.6233
Epoch [26/100], Step[469/526], Loss: 0.7991
Epoch [26/100], Step[470/526], Loss: 0.6589
Epoch [26/100], Step[471/526], Loss: 0.6976
Epoch [26/100], Step[472/526], Loss: 0.6711
Epoch [26/100], Step[473/526], Loss: 0.6783
Epoch [26/100], Step[474/526], Loss: 0.6740
Epoch [26/100], Step[475/526], Loss: 0.8137
Epoch [26/100], Step[476/526], Loss: 0.7509
Epoch [26/100], Step[477/526], Loss: 0.6967
Epoch [26/100], Step[478/526], Loss: 0.6795
Epoch [26/100], Step[479/526], Loss: 0.6700
Epoch [26/100], Step[480/526], Loss: 0.7332
Epoch [26/100], Step[481/526], Loss: 0.7084
Epoch [26/100], Step[482/526], Loss: 0.6395
Epoch [26/100], Step[483/526], Loss: 0.5680
Epoch [26/100], Step[484/526], Loss: 0.6835
Epoch [26/100], Step[485/526], Loss: 0.7569
Epoch [26/100], Step[486/526], Loss: 0.7120
Epoch [26/100], Step[487/526], Loss: 0.6866
Epoch [26/100], Step[488/526], Loss: 0.7300
Epoch [26/100], Step[489/526], Loss: 0.6769
Epoch [26/100], Step[490/526], Loss: 0.6162
Epoch [26/100], Step[491/526], Loss: 0.6878
Epoch [26/100], Step[492/526], Loss: 0.6536
Epoch [26/100], Step[493/526], Loss: 0.6526
Epoch [26/100], Step[494/526], Loss: 0.6589
Epoch [26/100], Step[495/526], Loss: 0.6871
Epoch [26/100], Step[496/526], Loss: 0.6667
Epoch [26/100], Step[497/526], Loss: 0.6356
Epoch [26/100], Step[498/526], Loss: 0.6803
Epoch [26/100], Step[499/526], Loss: 0.6725
Epoch [26/100], Step[500/526], Loss: 0.6757
Epoch [26/100], Step[501/526], Loss: 0.6598
Epoch [26/100], Step[502/526], Loss: 0.6956
Epoch [26/100], Step[503/526], Loss: 0.7134
Epoch [26/100], Step[504/526], Loss: 0.6959
Epoch [26/100], Step[505/526], Loss: 0.7101
Epoch [26/100], Step[506/526], Loss: 0.6848
Epoch [26/100], Step[507/526], Loss: 0.6714
Epoch [26/100], Step[508/526], Loss: 0.7134
Epoch [26/100], Step[509/526], Loss: 0.6606
Epoch [26/100], Step[510/526], Loss: 0.7038
Epoch [26/100], Step[511/526], Loss: 0.6429
Epoch [26/100], Step[512/526], Loss: 0.6703
Epoch [26/100], Step[513/526], Loss: 0.6449
Epoch [26/100], Step[514/526], Loss: 0.6533
Epoch [26/100], Step[515/526], Loss: 0.5796
Epoch [26/100], Step[516/526], Loss: 0.7490
Epoch [26/100], Step[517/526], Loss: 0.6906
Epoch [26/100], Step[518/526], Loss: 0.7353
Epoch [26/100], Step[519/526], Loss: 0.7147
Epoch [26/100], Step[520/526], Loss: 0.7197
Epoch [26/100], Step[521/526], Loss: 0.6801
Epoch [26/100], Step[522/526], Loss: 0.6123
Epoch [26/100], Step[523/526], Loss: 0.6679
Epoch [26/100], Step[524/526], Loss: 0.6513
Epoch [26/100], Step[525/526], Loss: 0.7366
Epoch [26/100], Step[526/526], Loss: 0.7040
Epoch [27/100], Step[1/526], Loss: 0.6601
Epoch [27/100], Step[2/526], Loss: 0.6471
Epoch [27/100], Step[3/526], Loss: 0.6799
Epoch [27/100], Step[4/526], Loss: 0.6353
Epoch [27/100], Step[5/526], Loss: 0.7359
Epoch [27/100], Step[6/526], Loss: 0.7392
Epoch [27/100], Step[7/526], Loss: 0.6955
Epoch [27/100], Step[8/526], Loss: 0.6804
Epoch [27/100], Step[9/526], Loss: 0.7066
Epoch [27/100], Step[10/526], Loss: 0.6764
Epoch [27/100], Step[11/526], Loss: 0.6664
Epoch [27/100], Step[12/526], Loss: 0.7196
Epoch [27/100], Step[13/526], Loss: 0.6351
Epoch [27/100], Step[14/526], Loss: 0.6628
Epoch [27/100], Step[15/526], Loss: 0.6870
Epoch [27/100], Step[16/526], Loss: 0.7012
Epoch [27/100], Step[17/526], Loss: 0.7042
Epoch [27/100], Step[18/526], Loss: 0.6879
Epoch [27/100], Step[19/526], Loss: 0.6683
Epoch [27/100], Step[20/526], Loss: 0.7113
Epoch [27/100], Step[21/526], Loss: 0.7503
Epoch [27/100], Step[22/526], Loss: 0.7339
Epoch [27/100], Step[23/526], Loss: 0.7361
Epoch [27/100], Step[24/526], Loss: 0.7126
Epoch [27/100], Step[25/526], Loss: 0.6936
Epoch [27/100], Step[26/526], Loss: 0.6389
Epoch [27/100], Step[27/526], Loss: 0.6881
Epoch [27/100], Step[28/526], Loss: 0.6904
Epoch [27/100], Step[29/526], Loss: 0.6637
Epoch [27/100], Step[30/526], Loss: 0.6953
Epoch [27/100], Step[31/526], Loss: 0.7031
Epoch [27/100], Step[32/526], Loss: 0.6693
Epoch [27/100], Step[33/526], Loss: 0.7101
Epoch [27/100], Step[34/526], Loss: 0.6919
Epoch [27/100], Step[35/526], Loss: 0.7100
Epoch [27/100], Step[36/526], Loss: 0.6934
Epoch [27/100], Step[37/526], Loss: 0.6928
Epoch [27/100], Step[38/526], Loss: 0.7071
Epoch [27/100], Step[39/526], Loss: 0.7004
Epoch [27/100], Step[40/526], Loss: 0.7261
Epoch [27/100], Step[41/526], Loss: 0.6539
Epoch [27/100], Step[42/526], Loss: 0.7281
Epoch [27/100], Step[43/526], Loss: 0.7185
Epoch [27/100], Step[44/526], Loss: 0.6859
Epoch [27/100], Step[45/526], Loss: 0.6864
Epoch [27/100], Step[46/526], Loss: 0.6880
Epoch [27/100], Step[47/526], Loss: 0.7094
Epoch [27/100], Step[48/526], Loss: 0.7255
Epoch [27/100], Step[49/526], Loss: 0.7080
Epoch [27/100], Step[50/526], Loss: 0.7156
Epoch [27/100], Step[51/526], Loss: 0.6966
Epoch [27/100], Step[52/526], Loss: 0.6741
Epoch [27/100], Step[53/526], Loss: 0.7212
Epoch [27/100], Step[54/526], Loss: 0.6989
Epoch [27/100], Step[55/526], Loss: 0.6890
Epoch [27/100], Step[56/526], Loss: 0.6996
Epoch [27/100], Step[57/526], Loss: 0.6846
Epoch [27/100], Step[58/526], Loss: 0.6740
Epoch [27/100], Step[59/526], Loss: 0.6587
Epoch [27/100], Step[60/526], Loss: 0.6688
Epoch [27/100], Step[61/526], Loss: 0.6470
Epoch [27/100], Step[62/526], Loss: 0.6959
Epoch [27/100], Step[63/526], Loss: 0.6861
Epoch [27/100], Step[64/526], Loss: 0.6810
Epoch [27/100], Step[65/526], Loss: 0.7257
Epoch [27/100], Step[66/526], Loss: 0.6833
Epoch [27/100], Step[67/526], Loss: 0.6639
Epoch [27/100], Step[68/526], Loss: 0.6507
Epoch [27/100], Step[69/526], Loss: 0.6970
Epoch [27/100], Step[70/526], Loss: 0.6825
Epoch [27/100], Step[71/526], Loss: 0.6625
Epoch [27/100], Step[72/526], Loss: 0.6790
Epoch [27/100], Step[73/526], Loss: 0.7106
Epoch [27/100], Step[74/526], Loss: 0.6651
Epoch [27/100], Step[75/526], Loss: 0.7069
Epoch [27/100], Step[76/526], Loss: 0.6948
Epoch [27/100], Step[77/526], Loss: 0.6921
Epoch [27/100], Step[78/526], Loss: 0.7071
Epoch [27/100], Step[79/526], Loss: 0.6949
Epoch [27/100], Step[80/526], Loss: 0.6941
Epoch [27/100], Step[81/526], Loss: 0.7057
Epoch [27/100], Step[82/526], Loss: 0.7295
Epoch [27/100], Step[83/526], Loss: 0.7087
Epoch [27/100], Step[84/526], Loss: 0.7005
Epoch [27/100], Step[85/526], Loss: 0.6669
Epoch [27/100], Step[86/526], Loss: 0.7075
Epoch [27/100], Step[87/526], Loss: 0.6785
Epoch [27/100], Step[88/526], Loss: 0.6906
Epoch [27/100], Step[89/526], Loss: 0.7228
Epoch [27/100], Step[90/526], Loss: 0.6851
Epoch [27/100], Step[91/526], Loss: 0.6817
Epoch [27/100], Step[92/526], Loss: 0.6783
Epoch [27/100], Step[93/526], Loss: 0.6872
Epoch [27/100], Step[94/526], Loss: 0.8036
Epoch [27/100], Step[95/526], Loss: 0.7160
Epoch [27/100], Step[96/526], Loss: 0.6274
Epoch [27/100], Step[97/526], Loss: 0.5950
Epoch [27/100], Step[98/526], Loss: 0.6966
Epoch [27/100], Step[99/526], Loss: 0.6825
Epoch [27/100], Step[100/526], Loss: 0.6731
Epoch [27/100], Step[101/526], Loss: 0.6578
Epoch [27/100], Step[102/526], Loss: 0.6265
Epoch [27/100], Step[103/526], Loss: 0.6903
Epoch [27/100], Step[104/526], Loss: 0.6454
Epoch [27/100], Step[105/526], Loss: 0.6405
Epoch [27/100], Step[106/526], Loss: 0.6918
Epoch [27/100], Step[107/526], Loss: 0.6390
Epoch [27/100], Step[108/526], Loss: 0.5811
Epoch [27/100], Step[109/526], Loss: 0.6750
Epoch [27/100], Step[110/526], Loss: 0.6843
Epoch [27/100], Step[111/526], Loss: 0.5909
Epoch [27/100], Step[112/526], Loss: 0.7363
Epoch [27/100], Step[113/526], Loss: 0.6054
Epoch [27/100], Step[114/526], Loss: 0.6552
Epoch [27/100], Step[115/526], Loss: 0.6027
Epoch [27/100], Step[116/526], Loss: 0.6224
Epoch [27/100], Step[117/526], Loss: 0.6585
Epoch [27/100], Step[118/526], Loss: 0.7575
Epoch [27/100], Step[119/526], Loss: 0.6781
Epoch [27/100], Step[120/526], Loss: 0.6755
Epoch [27/100], Step[121/526], Loss: 0.6957
Epoch [27/100], Step[122/526], Loss: 0.6275
Epoch [27/100], Step[123/526], Loss: 0.6496
Epoch [27/100], Step[124/526], Loss: 0.6750
Epoch [27/100], Step[125/526], Loss: 0.6340
Epoch [27/100], Step[126/526], Loss: 0.7167
Epoch [27/100], Step[127/526], Loss: 0.6740
Epoch [27/100], Step[128/526], Loss: 0.6424
Epoch [27/100], Step[129/526], Loss: 0.5927
Epoch [27/100], Step[130/526], Loss: 0.6044
Epoch [27/100], Step[131/526], Loss: 0.6775
Epoch [27/100], Step[132/526], Loss: 0.7260
Epoch [27/100], Step[133/526], Loss: 0.6790
Epoch [27/100], Step[134/526], Loss: 0.6292
Epoch [27/100], Step[135/526], Loss: 0.6454
Epoch [27/100], Step[136/526], Loss: 0.5651
Epoch [27/100], Step[137/526], Loss: 0.6432
Epoch [27/100], Step[138/526], Loss: 0.6533
Epoch [27/100], Step[139/526], Loss: 0.7085
Epoch [27/100], Step[140/526], Loss: 0.5915
Epoch [27/100], Step[141/526], Loss: 0.6815
Epoch [27/100], Step[142/526], Loss: 0.6645
Epoch [27/100], Step[143/526], Loss: 0.6906
Epoch [27/100], Step[144/526], Loss: 0.7772
Epoch [27/100], Step[145/526], Loss: 0.5532
Epoch [27/100], Step[146/526], Loss: 0.5110
Epoch [27/100], Step[147/526], Loss: 0.4618
Epoch [27/100], Step[148/526], Loss: 0.5890
Epoch [27/100], Step[149/526], Loss: 0.5005
Epoch [27/100], Step[150/526], Loss: 0.6172
Epoch [27/100], Step[151/526], Loss: 0.5643
Epoch [27/100], Step[152/526], Loss: 0.6223
Epoch [27/100], Step[153/526], Loss: 0.6324
Epoch [27/100], Step[154/526], Loss: 0.7308
Epoch [27/100], Step[155/526], Loss: 0.7293
Epoch [27/100], Step[156/526], Loss: 0.5250
Epoch [27/100], Step[157/526], Loss: 0.2800
Epoch [27/100], Step[158/526], Loss: 0.6080
Epoch [27/100], Step[159/526], Loss: 0.6684
Epoch [27/100], Step[160/526], Loss: 0.5550
Epoch [27/100], Step[161/526], Loss: 0.9867
Epoch [27/100], Step[162/526], Loss: 0.6927
Epoch [27/100], Step[163/526], Loss: 0.7216
Epoch [27/100], Step[164/526], Loss: 0.6225
Epoch [27/100], Step[165/526], Loss: 0.7262
Epoch [27/100], Step[166/526], Loss: 0.4986
Epoch [27/100], Step[167/526], Loss: 0.5306
Epoch [27/100], Step[168/526], Loss: 0.6827
Epoch [27/100], Step[169/526], Loss: 0.7524
Epoch [27/100], Step[170/526], Loss: 0.6993
Epoch [27/100], Step[171/526], Loss: 0.7249
Epoch [27/100], Step[172/526], Loss: 0.7264
Epoch [27/100], Step[173/526], Loss: 0.8147
Epoch [27/100], Step[174/526], Loss: 0.6265
Epoch [27/100], Step[175/526], Loss: 0.6593
Epoch [27/100], Step[176/526], Loss: 0.6376
Epoch [27/100], Step[177/526], Loss: 0.6536
Epoch [27/100], Step[178/526], Loss: 0.7046
Epoch [27/100], Step[179/526], Loss: 0.6403
Epoch [27/100], Step[180/526], Loss: 0.6769
Epoch [27/100], Step[181/526], Loss: 0.6377
Epoch [27/100], Step[182/526], Loss: 0.6855
Epoch [27/100], Step[183/526], Loss: 0.5277
Epoch [27/100], Step[184/526], Loss: 0.5945
Epoch [27/100], Step[185/526], Loss: 0.5808
Epoch [27/100], Step[186/526], Loss: 0.6642
Epoch [27/100], Step[187/526], Loss: 0.7530
Epoch [27/100], Step[188/526], Loss: 0.7048
Epoch [27/100], Step[189/526], Loss: 0.6816
Epoch [27/100], Step[190/526], Loss: 0.6016
Epoch [27/100], Step[191/526], Loss: 0.7212
Epoch [27/100], Step[192/526], Loss: 0.7680
Epoch [27/100], Step[193/526], Loss: 0.6522
Epoch [27/100], Step[194/526], Loss: 0.6119
Epoch [27/100], Step[195/526], Loss: 0.6514
Epoch [27/100], Step[196/526], Loss: 0.7279
Epoch [27/100], Step[197/526], Loss: 0.6828
Epoch [27/100], Step[198/526], Loss: 0.6337
Epoch [27/100], Step[199/526], Loss: 0.7274
Epoch [27/100], Step[200/526], Loss: 0.6662
Epoch [27/100], Step[201/526], Loss: 0.6785
Epoch [27/100], Step[202/526], Loss: 0.7443
Epoch [27/100], Step[203/526], Loss: 0.7058
Epoch [27/100], Step[204/526], Loss: 0.7361
Epoch [27/100], Step[205/526], Loss: 0.7048
Epoch [27/100], Step[206/526], Loss: 0.6810
Epoch [27/100], Step[207/526], Loss: 0.7073
Epoch [27/100], Step[208/526], Loss: 0.6836
Epoch [27/100], Step[209/526], Loss: 0.6824
Epoch [27/100], Step[210/526], Loss: 0.7738
Epoch [27/100], Step[211/526], Loss: 0.6404
Epoch [27/100], Step[212/526], Loss: 0.6876
Epoch [27/100], Step[213/526], Loss: 0.7178
Epoch [27/100], Step[214/526], Loss: 0.7463
Epoch [27/100], Step[215/526], Loss: 0.6914
Epoch [27/100], Step[216/526], Loss: 0.6806
Epoch [27/100], Step[217/526], Loss: 0.6729
Epoch [27/100], Step[218/526], Loss: 0.6990
Epoch [27/100], Step[219/526], Loss: 0.6973
Epoch [27/100], Step[220/526], Loss: 0.7280
Epoch [27/100], Step[221/526], Loss: 0.6935
Epoch [27/100], Step[222/526], Loss: 0.7432
Epoch [27/100], Step[223/526], Loss: 0.6793
Epoch [27/100], Step[224/526], Loss: 0.6848
Epoch [27/100], Step[225/526], Loss: 0.7228
Epoch [27/100], Step[226/526], Loss: 0.6801
Epoch [27/100], Step[227/526], Loss: 0.6758
Epoch [27/100], Step[228/526], Loss: 0.6698
Epoch [27/100], Step[229/526], Loss: 0.6909
Epoch [27/100], Step[230/526], Loss: 0.6624
Epoch [27/100], Step[231/526], Loss: 0.6675
Epoch [27/100], Step[232/526], Loss: 0.7080
Epoch [27/100], Step[233/526], Loss: 0.6871
Epoch [27/100], Step[234/526], Loss: 0.6802
Epoch [27/100], Step[235/526], Loss: 0.7053
Epoch [27/100], Step[236/526], Loss: 0.6904
Epoch [27/100], Step[237/526], Loss: 0.7190
Epoch [27/100], Step[238/526], Loss: 0.6892
Epoch [27/100], Step[239/526], Loss: 0.6731
Epoch [27/100], Step[240/526], Loss: 0.7267
Epoch [27/100], Step[241/526], Loss: 0.6991
Epoch [27/100], Step[242/526], Loss: 0.7104
Epoch [27/100], Step[243/526], Loss: 0.6224
Epoch [27/100], Step[244/526], Loss: 0.6515
Epoch [27/100], Step[245/526], Loss: 0.6434
Epoch [27/100], Step[246/526], Loss: 0.6648
Epoch [27/100], Step[247/526], Loss: 0.6256
Epoch [27/100], Step[248/526], Loss: 0.6555
Epoch [27/100], Step[249/526], Loss: 0.6661
Epoch [27/100], Step[250/526], Loss: 0.6799
Epoch [27/100], Step[251/526], Loss: 0.6997
Epoch [27/100], Step[252/526], Loss: 0.6942
Epoch [27/100], Step[253/526], Loss: 0.6317
Epoch [27/100], Step[254/526], Loss: 0.6650
Epoch [27/100], Step[255/526], Loss: 0.6060
Epoch [27/100], Step[256/526], Loss: 0.6878
Epoch [27/100], Step[257/526], Loss: 0.6614
Epoch [27/100], Step[258/526], Loss: 0.6379
Epoch [27/100], Step[259/526], Loss: 0.6859
Epoch [27/100], Step[260/526], Loss: 0.7320
Epoch [27/100], Step[261/526], Loss: 0.7489
Epoch [27/100], Step[262/526], Loss: 0.6821
Epoch [27/100], Step[263/526], Loss: 0.6656
Epoch [27/100], Step[264/526], Loss: 0.6486
Epoch [27/100], Step[265/526], Loss: 0.6423
Epoch [27/100], Step[266/526], Loss: 0.6356
Epoch [27/100], Step[267/526], Loss: 0.4999
Epoch [27/100], Step[268/526], Loss: 0.5541
Epoch [27/100], Step[269/526], Loss: 0.4630
Epoch [27/100], Step[270/526], Loss: 0.4012
Epoch [27/100], Step[271/526], Loss: 0.5212
Epoch [27/100], Step[272/526], Loss: 0.5405
Epoch [27/100], Step[273/526], Loss: 0.6285
Epoch [27/100], Step[274/526], Loss: 0.4506
Epoch [27/100], Step[275/526], Loss: 0.4242
Epoch [27/100], Step[276/526], Loss: 0.4727
Epoch [27/100], Step[277/526], Loss: 0.4464
Epoch [27/100], Step[278/526], Loss: 0.4566
Epoch [27/100], Step[279/526], Loss: 0.4047
Epoch [27/100], Step[280/526], Loss: 0.4487
Epoch [27/100], Step[281/526], Loss: 0.6196
Epoch [27/100], Step[282/526], Loss: 0.3671
Epoch [27/100], Step[283/526], Loss: 0.3633
Epoch [27/100], Step[284/526], Loss: 0.3993
Epoch [27/100], Step[285/526], Loss: 0.2940
Epoch [27/100], Step[286/526], Loss: 0.6930
Epoch [27/100], Step[287/526], Loss: 0.4813
Epoch [27/100], Step[288/526], Loss: 0.4375
Epoch [27/100], Step[289/526], Loss: 0.6111
Epoch [27/100], Step[290/526], Loss: 0.4235
Epoch [27/100], Step[291/526], Loss: 0.4887
Epoch [27/100], Step[292/526], Loss: 0.2538
Epoch [27/100], Step[293/526], Loss: 0.3119
Epoch [27/100], Step[294/526], Loss: 0.3279
Epoch [27/100], Step[295/526], Loss: 0.4191
Epoch [27/100], Step[296/526], Loss: 0.6011
Epoch [27/100], Step[297/526], Loss: 0.2864
Epoch [27/100], Step[298/526], Loss: 0.2908
Epoch [27/100], Step[299/526], Loss: 0.2532
Epoch [27/100], Step[300/526], Loss: 0.3144
Epoch [27/100], Step[301/526], Loss: 0.5955
Epoch [27/100], Step[302/526], Loss: 0.3117
Epoch [27/100], Step[303/526], Loss: 0.4876
Epoch [27/100], Step[304/526], Loss: 0.2587
Epoch [27/100], Step[305/526], Loss: 0.2647
Epoch [27/100], Step[306/526], Loss: 0.5754
Epoch [27/100], Step[307/526], Loss: 0.8907
Epoch [27/100], Step[308/526], Loss: 1.3139
Epoch [27/100], Step[309/526], Loss: 0.8743
Epoch [27/100], Step[310/526], Loss: 0.9680
Epoch [27/100], Step[311/526], Loss: 0.8362
Epoch [27/100], Step[312/526], Loss: 0.4974
Epoch [27/100], Step[313/526], Loss: 0.4850
Epoch [27/100], Step[314/526], Loss: 0.6565
Epoch [27/100], Step[315/526], Loss: 0.7036
Epoch [27/100], Step[316/526], Loss: 0.4971
Epoch [27/100], Step[317/526], Loss: 0.3167
Epoch [27/100], Step[318/526], Loss: 0.7496
Epoch [27/100], Step[319/526], Loss: 0.3553
Epoch [27/100], Step[320/526], Loss: 0.5830
Epoch [27/100], Step[321/526], Loss: 0.7316
Epoch [27/100], Step[322/526], Loss: 0.2626
Epoch [27/100], Step[323/526], Loss: 0.6066
Epoch [27/100], Step[324/526], Loss: 0.6616
Epoch [27/100], Step[325/526], Loss: 0.5711
Epoch [27/100], Step[326/526], Loss: 0.7868
Epoch [27/100], Step[327/526], Loss: 0.7314
Epoch [27/100], Step[328/526], Loss: 0.9125
Epoch [27/100], Step[329/526], Loss: 1.2609
Epoch [27/100], Step[330/526], Loss: 1.0083
Epoch [27/100], Step[331/526], Loss: 0.8116
Epoch [27/100], Step[332/526], Loss: 0.8541
Epoch [27/100], Step[333/526], Loss: 0.7830
Epoch [27/100], Step[334/526], Loss: 0.7811
Epoch [27/100], Step[335/526], Loss: 0.8170
Epoch [27/100], Step[336/526], Loss: 0.7017
Epoch [27/100], Step[337/526], Loss: 0.6001
Epoch [27/100], Step[338/526], Loss: 0.7073
Epoch [27/100], Step[339/526], Loss: 0.6500
Epoch [27/100], Step[340/526], Loss: 0.7316
Epoch [27/100], Step[341/526], Loss: 0.7932
Epoch [27/100], Step[342/526], Loss: 0.7958
Epoch [27/100], Step[343/526], Loss: 0.5463
Epoch [27/100], Step[344/526], Loss: 0.7395
Epoch [27/100], Step[345/526], Loss: 0.6512
Epoch [27/100], Step[346/526], Loss: 0.6977
Epoch [27/100], Step[347/526], Loss: 0.7035
Epoch [27/100], Step[348/526], Loss: 0.6392
Epoch [27/100], Step[349/526], Loss: 0.5806
Epoch [27/100], Step[350/526], Loss: 0.6764
Epoch [27/100], Step[351/526], Loss: 0.7199
Epoch [27/100], Step[352/526], Loss: 0.6156
Epoch [27/100], Step[353/526], Loss: 0.6892
Epoch [27/100], Step[354/526], Loss: 0.6723
Epoch [27/100], Step[355/526], Loss: 0.6745
Epoch [27/100], Step[356/526], Loss: 0.7042
Epoch [27/100], Step[357/526], Loss: 0.6578
Epoch [27/100], Step[358/526], Loss: 0.6975
Epoch [27/100], Step[359/526], Loss: 0.6573
Epoch [27/100], Step[360/526], Loss: 0.6718
Epoch [27/100], Step[361/526], Loss: 0.7308
Epoch [27/100], Step[362/526], Loss: 0.7049
Epoch [27/100], Step[363/526], Loss: 0.6925
Epoch [27/100], Step[364/526], Loss: 0.7147
Epoch [27/100], Step[365/526], Loss: 0.7154
Epoch [27/100], Step[366/526], Loss: 0.6855
Epoch [27/100], Step[367/526], Loss: 0.6875
Epoch [27/100], Step[368/526], Loss: 0.6515
Epoch [27/100], Step[369/526], Loss: 0.6594
Epoch [27/100], Step[370/526], Loss: 0.6314
Epoch [27/100], Step[371/526], Loss: 0.7353
Epoch [27/100], Step[372/526], Loss: 0.6447
Epoch [27/100], Step[373/526], Loss: 0.6763
Epoch [27/100], Step[374/526], Loss: 0.6992
Epoch [27/100], Step[375/526], Loss: 0.6495
Epoch [27/100], Step[376/526], Loss: 0.6477
Epoch [27/100], Step[377/526], Loss: 0.6819
Epoch [27/100], Step[378/526], Loss: 0.6947
Epoch [27/100], Step[379/526], Loss: 0.7405
Epoch [27/100], Step[380/526], Loss: 0.6118
Epoch [27/100], Step[381/526], Loss: 0.5969
Epoch [27/100], Step[382/526], Loss: 0.6700
Epoch [27/100], Step[383/526], Loss: 0.6905
Epoch [27/100], Step[384/526], Loss: 0.6357
Epoch [27/100], Step[385/526], Loss: 0.6318
Epoch [27/100], Step[386/526], Loss: 0.6569
Epoch [27/100], Step[387/526], Loss: 0.6581
Epoch [27/100], Step[388/526], Loss: 0.5979
Epoch [27/100], Step[389/526], Loss: 0.7215
Epoch [27/100], Step[390/526], Loss: 0.5916
Epoch [27/100], Step[391/526], Loss: 0.6492
Epoch [27/100], Step[392/526], Loss: 0.7004
Epoch [27/100], Step[393/526], Loss: 0.5895
Epoch [27/100], Step[394/526], Loss: 0.5160
Epoch [27/100], Step[395/526], Loss: 0.6273
Epoch [27/100], Step[396/526], Loss: 0.6304
Epoch [27/100], Step[397/526], Loss: 0.4781
Epoch [27/100], Step[398/526], Loss: 0.6018
Epoch [27/100], Step[399/526], Loss: 0.6582
Epoch [27/100], Step[400/526], Loss: 0.4725
Epoch [27/100], Step[401/526], Loss: 0.5907
Epoch [27/100], Step[402/526], Loss: 0.6325
Epoch [27/100], Step[403/526], Loss: 0.7166
Epoch [27/100], Step[404/526], Loss: 0.4814
Epoch [27/100], Step[405/526], Loss: 0.5055
Epoch [27/100], Step[406/526], Loss: 0.6347
Epoch [27/100], Step[407/526], Loss: 0.7497
Epoch [27/100], Step[408/526], Loss: 0.6524
Epoch [27/100], Step[409/526], Loss: 0.4604
Epoch [27/100], Step[410/526], Loss: 0.4863
Epoch [27/100], Step[411/526], Loss: 0.5341
Epoch [27/100], Step[412/526], Loss: 0.5851
Epoch [27/100], Step[413/526], Loss: 0.5931
Epoch [27/100], Step[414/526], Loss: 0.6299
Epoch [27/100], Step[415/526], Loss: 0.6110
Epoch [27/100], Step[416/526], Loss: 0.5413
Epoch [27/100], Step[417/526], Loss: 0.4607
Epoch [27/100], Step[418/526], Loss: 0.7567
Epoch [27/100], Step[419/526], Loss: 0.6880
Epoch [27/100], Step[420/526], Loss: 0.6830
Epoch [27/100], Step[421/526], Loss: 0.6336
Epoch [27/100], Step[422/526], Loss: 0.7921
Epoch [27/100], Step[423/526], Loss: 0.7051
Epoch [27/100], Step[424/526], Loss: 0.7450
Epoch [27/100], Step[425/526], Loss: 0.7145
Epoch [27/100], Step[426/526], Loss: 0.7674
Epoch [27/100], Step[427/526], Loss: 0.6947
Epoch [27/100], Step[428/526], Loss: 0.7122
Epoch [27/100], Step[429/526], Loss: 0.7382
Epoch [27/100], Step[430/526], Loss: 0.7943
Epoch [27/100], Step[431/526], Loss: 0.7117
Epoch [27/100], Step[432/526], Loss: 0.7305
Epoch [27/100], Step[433/526], Loss: 0.6823
Epoch [27/100], Step[434/526], Loss: 0.6225
Epoch [27/100], Step[435/526], Loss: 0.7902
Epoch [27/100], Step[436/526], Loss: 0.8090
Epoch [27/100], Step[437/526], Loss: 0.5182
Epoch [27/100], Step[438/526], Loss: 0.3621
Epoch [27/100], Step[439/526], Loss: 0.7360
Epoch [27/100], Step[440/526], Loss: 0.6921
Epoch [27/100], Step[441/526], Loss: 0.6977
Epoch [27/100], Step[442/526], Loss: 0.6394
Epoch [27/100], Step[443/526], Loss: 0.6646
Epoch [27/100], Step[444/526], Loss: 0.7613
Epoch [27/100], Step[445/526], Loss: 0.7005
Epoch [27/100], Step[446/526], Loss: 0.7214
Epoch [27/100], Step[447/526], Loss: 0.7210
Epoch [27/100], Step[448/526], Loss: 0.7411
Epoch [27/100], Step[449/526], Loss: 0.6913
Epoch [27/100], Step[450/526], Loss: 0.5982
Epoch [27/100], Step[451/526], Loss: 0.6508
Epoch [27/100], Step[452/526], Loss: 0.7307
Epoch [27/100], Step[453/526], Loss: 0.7175
Epoch [27/100], Step[454/526], Loss: 0.8078
Epoch [27/100], Step[455/526], Loss: 0.6585
Epoch [27/100], Step[456/526], Loss: 0.6471
Epoch [27/100], Step[457/526], Loss: 0.7034
Epoch [27/100], Step[458/526], Loss: 0.6644
Epoch [27/100], Step[459/526], Loss: 0.6627
Epoch [27/100], Step[460/526], Loss: 0.6413
Epoch [27/100], Step[461/526], Loss: 0.6167
Epoch [27/100], Step[462/526], Loss: 0.6712
Epoch [27/100], Step[463/526], Loss: 0.6472
Epoch [27/100], Step[464/526], Loss: 0.6456
Epoch [27/100], Step[465/526], Loss: 0.6578
Epoch [27/100], Step[466/526], Loss: 0.6577
Epoch [27/100], Step[467/526], Loss: 0.6470
Epoch [27/100], Step[468/526], Loss: 0.6259
Epoch [27/100], Step[469/526], Loss: 0.8040
Epoch [27/100], Step[470/526], Loss: 0.6584
Epoch [27/100], Step[471/526], Loss: 0.6975
Epoch [27/100], Step[472/526], Loss: 0.6715
Epoch [27/100], Step[473/526], Loss: 0.6783
Epoch [27/100], Step[474/526], Loss: 0.6746
Epoch [27/100], Step[475/526], Loss: 0.8153
Epoch [27/100], Step[476/526], Loss: 0.7537
Epoch [27/100], Step[477/526], Loss: 0.6965
Epoch [27/100], Step[478/526], Loss: 0.6876
Epoch [27/100], Step[479/526], Loss: 0.6680
Epoch [27/100], Step[480/526], Loss: 0.7353
Epoch [27/100], Step[481/526], Loss: 0.7130
Epoch [27/100], Step[482/526], Loss: 0.6289
Epoch [27/100], Step[483/526], Loss: 0.5565
Epoch [27/100], Step[484/526], Loss: 0.6853
Epoch [27/100], Step[485/526], Loss: 0.7707
Epoch [27/100], Step[486/526], Loss: 0.7167
Epoch [27/100], Step[487/526], Loss: 0.7117
Epoch [27/100], Step[488/526], Loss: 0.7033
Epoch [27/100], Step[489/526], Loss: 0.6479
Epoch [27/100], Step[490/526], Loss: 0.6116
Epoch [27/100], Step[491/526], Loss: 0.6806
Epoch [27/100], Step[492/526], Loss: 0.6460
Epoch [27/100], Step[493/526], Loss: 0.6493
Epoch [27/100], Step[494/526], Loss: 0.6600
Epoch [27/100], Step[495/526], Loss: 0.6868
Epoch [27/100], Step[496/526], Loss: 0.6668
Epoch [27/100], Step[497/526], Loss: 0.6377
Epoch [27/100], Step[498/526], Loss: 0.6841
Epoch [27/100], Step[499/526], Loss: 0.6705
Epoch [27/100], Step[500/526], Loss: 0.6777
Epoch [27/100], Step[501/526], Loss: 0.6595
Epoch [27/100], Step[502/526], Loss: 0.6851
Epoch [27/100], Step[503/526], Loss: 0.7095
Epoch [27/100], Step[504/526], Loss: 0.6910
Epoch [27/100], Step[505/526], Loss: 0.7048
Epoch [27/100], Step[506/526], Loss: 0.6890
Epoch [27/100], Step[507/526], Loss: 0.6670
Epoch [27/100], Step[508/526], Loss: 0.7414
Epoch [27/100], Step[509/526], Loss: 0.6658
Epoch [27/100], Step[510/526], Loss: 0.7079
Epoch [27/100], Step[511/526], Loss: 0.6457
Epoch [27/100], Step[512/526], Loss: 0.6661
Epoch [27/100], Step[513/526], Loss: 0.6468
Epoch [27/100], Step[514/526], Loss: 0.6541
Epoch [27/100], Step[515/526], Loss: 0.5801
Epoch [27/100], Step[516/526], Loss: 0.7518
Epoch [27/100], Step[517/526], Loss: 0.6902
Epoch [27/100], Step[518/526], Loss: 0.7372
Epoch [27/100], Step[519/526], Loss: 0.7136
Epoch [27/100], Step[520/526], Loss: 0.6901
Epoch [27/100], Step[521/526], Loss: 0.6729
Epoch [27/100], Step[522/526], Loss: 0.6095
Epoch [27/100], Step[523/526], Loss: 0.6499
Epoch [27/100], Step[524/526], Loss: 0.6463
Epoch [27/100], Step[525/526], Loss: 0.7426
Epoch [27/100], Step[526/526], Loss: 0.7033
Epoch [28/100], Step[1/526], Loss: 0.6590
Epoch [28/100], Step[2/526], Loss: 0.6454
Epoch [28/100], Step[3/526], Loss: 0.6787
Epoch [28/100], Step[4/526], Loss: 0.6345
Epoch [28/100], Step[5/526], Loss: 0.7346
Epoch [28/100], Step[6/526], Loss: 0.7385
Epoch [28/100], Step[7/526], Loss: 0.6947
Epoch [28/100], Step[8/526], Loss: 0.6809
Epoch [28/100], Step[9/526], Loss: 0.7071
Epoch [28/100], Step[10/526], Loss: 0.6763
Epoch [28/100], Step[11/526], Loss: 0.6667
Epoch [28/100], Step[12/526], Loss: 0.7192
Epoch [28/100], Step[13/526], Loss: 0.6358
Epoch [28/100], Step[14/526], Loss: 0.6648
Epoch [28/100], Step[15/526], Loss: 0.6875
Epoch [28/100], Step[16/526], Loss: 0.7016
Epoch [28/100], Step[17/526], Loss: 0.7012
Epoch [28/100], Step[18/526], Loss: 0.6941
Epoch [28/100], Step[19/526], Loss: 0.6735
Epoch [28/100], Step[20/526], Loss: 0.7110
Epoch [28/100], Step[21/526], Loss: 0.7494
Epoch [28/100], Step[22/526], Loss: 0.7312
Epoch [28/100], Step[23/526], Loss: 0.7362
Epoch [28/100], Step[24/526], Loss: 0.7138
Epoch [28/100], Step[25/526], Loss: 0.6933
Epoch [28/100], Step[26/526], Loss: 0.6392
Epoch [28/100], Step[27/526], Loss: 0.6882
Epoch [28/100], Step[28/526], Loss: 0.6903
Epoch [28/100], Step[29/526], Loss: 0.6625
Epoch [28/100], Step[30/526], Loss: 0.6946
Epoch [28/100], Step[31/526], Loss: 0.7034
Epoch [28/100], Step[32/526], Loss: 0.6701
Epoch [28/100], Step[33/526], Loss: 0.7091
Epoch [28/100], Step[34/526], Loss: 0.6926
Epoch [28/100], Step[35/526], Loss: 0.7103
Epoch [28/100], Step[36/526], Loss: 0.6952
Epoch [28/100], Step[37/526], Loss: 0.6929
Epoch [28/100], Step[38/526], Loss: 0.7069
Epoch [28/100], Step[39/526], Loss: 0.6992
Epoch [28/100], Step[40/526], Loss: 0.7254
Epoch [28/100], Step[41/526], Loss: 0.6551
Epoch [28/100], Step[42/526], Loss: 0.7279
Epoch [28/100], Step[43/526], Loss: 0.7186
Epoch [28/100], Step[44/526], Loss: 0.6859
Epoch [28/100], Step[45/526], Loss: 0.6863
Epoch [28/100], Step[46/526], Loss: 0.6876
Epoch [28/100], Step[47/526], Loss: 0.7088
Epoch [28/100], Step[48/526], Loss: 0.7249
Epoch [28/100], Step[49/526], Loss: 0.7069
Epoch [28/100], Step[50/526], Loss: 0.7150
Epoch [28/100], Step[51/526], Loss: 0.6967
Epoch [28/100], Step[52/526], Loss: 0.6747
Epoch [28/100], Step[53/526], Loss: 0.7202
Epoch [28/100], Step[54/526], Loss: 0.7000
Epoch [28/100], Step[55/526], Loss: 0.6886
Epoch [28/100], Step[56/526], Loss: 0.6999
Epoch [28/100], Step[57/526], Loss: 0.6839
Epoch [28/100], Step[58/526], Loss: 0.6748
Epoch [28/100], Step[59/526], Loss: 0.6614
Epoch [28/100], Step[60/526], Loss: 0.6690
Epoch [28/100], Step[61/526], Loss: 0.6458
Epoch [28/100], Step[62/526], Loss: 0.6955
Epoch [28/100], Step[63/526], Loss: 0.6840
Epoch [28/100], Step[64/526], Loss: 0.6801
Epoch [28/100], Step[65/526], Loss: 0.7239
Epoch [28/100], Step[66/526], Loss: 0.6838
Epoch [28/100], Step[67/526], Loss: 0.6642
Epoch [28/100], Step[68/526], Loss: 0.6525
Epoch [28/100], Step[69/526], Loss: 0.6988
Epoch [28/100], Step[70/526], Loss: 0.6842
Epoch [28/100], Step[71/526], Loss: 0.6615
Epoch [28/100], Step[72/526], Loss: 0.6783
Epoch [28/100], Step[73/526], Loss: 0.7108
Epoch [28/100], Step[74/526], Loss: 0.6632
Epoch [28/100], Step[75/526], Loss: 0.7065
Epoch [28/100], Step[76/526], Loss: 0.6938
Epoch [28/100], Step[77/526], Loss: 0.6917
Epoch [28/100], Step[78/526], Loss: 0.7084
Epoch [28/100], Step[79/526], Loss: 0.6950
Epoch [28/100], Step[80/526], Loss: 0.6955
Epoch [28/100], Step[81/526], Loss: 0.7048
Epoch [28/100], Step[82/526], Loss: 0.7293
Epoch [28/100], Step[83/526], Loss: 0.7087
Epoch [28/100], Step[84/526], Loss: 0.6983
Epoch [28/100], Step[85/526], Loss: 0.6641
Epoch [28/100], Step[86/526], Loss: 0.7080
Epoch [28/100], Step[87/526], Loss: 0.6777
Epoch [28/100], Step[88/526], Loss: 0.6889
Epoch [28/100], Step[89/526], Loss: 0.7218
Epoch [28/100], Step[90/526], Loss: 0.6866
Epoch [28/100], Step[91/526], Loss: 0.6787
Epoch [28/100], Step[92/526], Loss: 0.6776
Epoch [28/100], Step[93/526], Loss: 0.6855
Epoch [28/100], Step[94/526], Loss: 0.8058
Epoch [28/100], Step[95/526], Loss: 0.7170
Epoch [28/100], Step[96/526], Loss: 0.6288
Epoch [28/100], Step[97/526], Loss: 0.5955
Epoch [28/100], Step[98/526], Loss: 0.6956
Epoch [28/100], Step[99/526], Loss: 0.6857
Epoch [28/100], Step[100/526], Loss: 0.6693
Epoch [28/100], Step[101/526], Loss: 0.6575
Epoch [28/100], Step[102/526], Loss: 0.6251
Epoch [28/100], Step[103/526], Loss: 0.6876
Epoch [28/100], Step[104/526], Loss: 0.6427
Epoch [28/100], Step[105/526], Loss: 0.6394
Epoch [28/100], Step[106/526], Loss: 0.6895
Epoch [28/100], Step[107/526], Loss: 0.6406
Epoch [28/100], Step[108/526], Loss: 0.5828
Epoch [28/100], Step[109/526], Loss: 0.6769
Epoch [28/100], Step[110/526], Loss: 0.6884
Epoch [28/100], Step[111/526], Loss: 0.5899
Epoch [28/100], Step[112/526], Loss: 0.7365
Epoch [28/100], Step[113/526], Loss: 0.6061
Epoch [28/100], Step[114/526], Loss: 0.6570
Epoch [28/100], Step[115/526], Loss: 0.6053
Epoch [28/100], Step[116/526], Loss: 0.6207
Epoch [28/100], Step[117/526], Loss: 0.6555
Epoch [28/100], Step[118/526], Loss: 0.7547
Epoch [28/100], Step[119/526], Loss: 0.6755
Epoch [28/100], Step[120/526], Loss: 0.6761
Epoch [28/100], Step[121/526], Loss: 0.6938
Epoch [28/100], Step[122/526], Loss: 0.6293
Epoch [28/100], Step[123/526], Loss: 0.6498
Epoch [28/100], Step[124/526], Loss: 0.6750
Epoch [28/100], Step[125/526], Loss: 0.6333
Epoch [28/100], Step[126/526], Loss: 0.7149
Epoch [28/100], Step[127/526], Loss: 0.6752
Epoch [28/100], Step[128/526], Loss: 0.6410
Epoch [28/100], Step[129/526], Loss: 0.5877
Epoch [28/100], Step[130/526], Loss: 0.5950
Epoch [28/100], Step[131/526], Loss: 0.6794
Epoch [28/100], Step[132/526], Loss: 0.7288
Epoch [28/100], Step[133/526], Loss: 0.6783
Epoch [28/100], Step[134/526], Loss: 0.6280
Epoch [28/100], Step[135/526], Loss: 0.6472
Epoch [28/100], Step[136/526], Loss: 0.5642
Epoch [28/100], Step[137/526], Loss: 0.6389
Epoch [28/100], Step[138/526], Loss: 0.6520
Epoch [28/100], Step[139/526], Loss: 0.7155
Epoch [28/100], Step[140/526], Loss: 0.5869
Epoch [28/100], Step[141/526], Loss: 0.6815
Epoch [28/100], Step[142/526], Loss: 0.6627
Epoch [28/100], Step[143/526], Loss: 0.6916
Epoch [28/100], Step[144/526], Loss: 0.7831
Epoch [28/100], Step[145/526], Loss: 0.5534
Epoch [28/100], Step[146/526], Loss: 0.5107
Epoch [28/100], Step[147/526], Loss: 0.4579
Epoch [28/100], Step[148/526], Loss: 0.5915
Epoch [28/100], Step[149/526], Loss: 0.4972
Epoch [28/100], Step[150/526], Loss: 0.6041
Epoch [28/100], Step[151/526], Loss: 0.5533
Epoch [28/100], Step[152/526], Loss: 0.6217
Epoch [28/100], Step[153/526], Loss: 0.6268
Epoch [28/100], Step[154/526], Loss: 0.7341
Epoch [28/100], Step[155/526], Loss: 0.7286
Epoch [28/100], Step[156/526], Loss: 0.5178
Epoch [28/100], Step[157/526], Loss: 0.2707
Epoch [28/100], Step[158/526], Loss: 0.6015
Epoch [28/100], Step[159/526], Loss: 0.6721
Epoch [28/100], Step[160/526], Loss: 0.5461
Epoch [28/100], Step[161/526], Loss: 1.0223
Epoch [28/100], Step[162/526], Loss: 0.6873
Epoch [28/100], Step[163/526], Loss: 0.7219
Epoch [28/100], Step[164/526], Loss: 0.6202
Epoch [28/100], Step[165/526], Loss: 0.7300
Epoch [28/100], Step[166/526], Loss: 0.4923
Epoch [28/100], Step[167/526], Loss: 0.5263
Epoch [28/100], Step[168/526], Loss: 0.6883
Epoch [28/100], Step[169/526], Loss: 0.7573
Epoch [28/100], Step[170/526], Loss: 0.6986
Epoch [28/100], Step[171/526], Loss: 0.7226
Epoch [28/100], Step[172/526], Loss: 0.7247
Epoch [28/100], Step[173/526], Loss: 0.8144
Epoch [28/100], Step[174/526], Loss: 0.6276
Epoch [28/100], Step[175/526], Loss: 0.6552
Epoch [28/100], Step[176/526], Loss: 0.6372
Epoch [28/100], Step[177/526], Loss: 0.6549
Epoch [28/100], Step[178/526], Loss: 0.7011
Epoch [28/100], Step[179/526], Loss: 0.6399
Epoch [28/100], Step[180/526], Loss: 0.6801
Epoch [28/100], Step[181/526], Loss: 0.6388
Epoch [28/100], Step[182/526], Loss: 0.6852
Epoch [28/100], Step[183/526], Loss: 0.5280
Epoch [28/100], Step[184/526], Loss: 0.5954
Epoch [28/100], Step[185/526], Loss: 0.5843
Epoch [28/100], Step[186/526], Loss: 0.6647
Epoch [28/100], Step[187/526], Loss: 0.7504
Epoch [28/100], Step[188/526], Loss: 0.7030
Epoch [28/100], Step[189/526], Loss: 0.6828
Epoch [28/100], Step[190/526], Loss: 0.6060
Epoch [28/100], Step[191/526], Loss: 0.7242
Epoch [28/100], Step[192/526], Loss: 0.7698
Epoch [28/100], Step[193/526], Loss: 0.6571
Epoch [28/100], Step[194/526], Loss: 0.6138
Epoch [28/100], Step[195/526], Loss: 0.6526
Epoch [28/100], Step[196/526], Loss: 0.7327
Epoch [28/100], Step[197/526], Loss: 0.6869
Epoch [28/100], Step[198/526], Loss: 0.6322
Epoch [28/100], Step[199/526], Loss: 0.7292
Epoch [28/100], Step[200/526], Loss: 0.6671
Epoch [28/100], Step[201/526], Loss: 0.6787
Epoch [28/100], Step[202/526], Loss: 0.7430
Epoch [28/100], Step[203/526], Loss: 0.7074
Epoch [28/100], Step[204/526], Loss: 0.7322
Epoch [28/100], Step[205/526], Loss: 0.7062
Epoch [28/100], Step[206/526], Loss: 0.6817
Epoch [28/100], Step[207/526], Loss: 0.7117
Epoch [28/100], Step[208/526], Loss: 0.6814
Epoch [28/100], Step[209/526], Loss: 0.6830
Epoch [28/100], Step[210/526], Loss: 0.7780
Epoch [28/100], Step[211/526], Loss: 0.6375
Epoch [28/100], Step[212/526], Loss: 0.6871
Epoch [28/100], Step[213/526], Loss: 0.7178
Epoch [28/100], Step[214/526], Loss: 0.7497
Epoch [28/100], Step[215/526], Loss: 0.6948
Epoch [28/100], Step[216/526], Loss: 0.6800
Epoch [28/100], Step[217/526], Loss: 0.6769
Epoch [28/100], Step[218/526], Loss: 0.6986
Epoch [28/100], Step[219/526], Loss: 0.6995
Epoch [28/100], Step[220/526], Loss: 0.7316
Epoch [28/100], Step[221/526], Loss: 0.6967
Epoch [28/100], Step[222/526], Loss: 0.7485
Epoch [28/100], Step[223/526], Loss: 0.6792
Epoch [28/100], Step[224/526], Loss: 0.6830
Epoch [28/100], Step[225/526], Loss: 0.7271
Epoch [28/100], Step[226/526], Loss: 0.6800
Epoch [28/100], Step[227/526], Loss: 0.6745
Epoch [28/100], Step[228/526], Loss: 0.6654
Epoch [28/100], Step[229/526], Loss: 0.6879
Epoch [28/100], Step[230/526], Loss: 0.6604
Epoch [28/100], Step[231/526], Loss: 0.6675
Epoch [28/100], Step[232/526], Loss: 0.7104
Epoch [28/100], Step[233/526], Loss: 0.6872
Epoch [28/100], Step[234/526], Loss: 0.6822
Epoch [28/100], Step[235/526], Loss: 0.7048
Epoch [28/100], Step[236/526], Loss: 0.6909
Epoch [28/100], Step[237/526], Loss: 0.7186
Epoch [28/100], Step[238/526], Loss: 0.6881
Epoch [28/100], Step[239/526], Loss: 0.6722
Epoch [28/100], Step[240/526], Loss: 0.7236
Epoch [28/100], Step[241/526], Loss: 0.6974
Epoch [28/100], Step[242/526], Loss: 0.7097
Epoch [28/100], Step[243/526], Loss: 0.6234
Epoch [28/100], Step[244/526], Loss: 0.6516
Epoch [28/100], Step[245/526], Loss: 0.6448
Epoch [28/100], Step[246/526], Loss: 0.6658
Epoch [28/100], Step[247/526], Loss: 0.6263
Epoch [28/100], Step[248/526], Loss: 0.6543
Epoch [28/100], Step[249/526], Loss: 0.6650
Epoch [28/100], Step[250/526], Loss: 0.6791
Epoch [28/100], Step[251/526], Loss: 0.6990
Epoch [28/100], Step[252/526], Loss: 0.6941
Epoch [28/100], Step[253/526], Loss: 0.6328
Epoch [28/100], Step[254/526], Loss: 0.6650
Epoch [28/100], Step[255/526], Loss: 0.6066
Epoch [28/100], Step[256/526], Loss: 0.6882
Epoch [28/100], Step[257/526], Loss: 0.6584
Epoch [28/100], Step[258/526], Loss: 0.6362
Epoch [28/100], Step[259/526], Loss: 0.6860
Epoch [28/100], Step[260/526], Loss: 0.7323
Epoch [28/100], Step[261/526], Loss: 0.7489
Epoch [28/100], Step[262/526], Loss: 0.6816
Epoch [28/100], Step[263/526], Loss: 0.6651
Epoch [28/100], Step[264/526], Loss: 0.6476
Epoch [28/100], Step[265/526], Loss: 0.6409
Epoch [28/100], Step[266/526], Loss: 0.6366
Epoch [28/100], Step[267/526], Loss: 0.4987
Epoch [28/100], Step[268/526], Loss: 0.5533
Epoch [28/100], Step[269/526], Loss: 0.4656
Epoch [28/100], Step[270/526], Loss: 0.4046
Epoch [28/100], Step[271/526], Loss: 0.5238
Epoch [28/100], Step[272/526], Loss: 0.5425
Epoch [28/100], Step[273/526], Loss: 0.6274
Epoch [28/100], Step[274/526], Loss: 0.4510
Epoch [28/100], Step[275/526], Loss: 0.4251
Epoch [28/100], Step[276/526], Loss: 0.4757
Epoch [28/100], Step[277/526], Loss: 0.4480
Epoch [28/100], Step[278/526], Loss: 0.4638
Epoch [28/100], Step[279/526], Loss: 0.4120
Epoch [28/100], Step[280/526], Loss: 0.4535
Epoch [28/100], Step[281/526], Loss: 0.6190
Epoch [28/100], Step[282/526], Loss: 0.3677
Epoch [28/100], Step[283/526], Loss: 0.3652
Epoch [28/100], Step[284/526], Loss: 0.4030
Epoch [28/100], Step[285/526], Loss: 0.2894
Epoch [28/100], Step[286/526], Loss: 0.6891
Epoch [28/100], Step[287/526], Loss: 0.4819
Epoch [28/100], Step[288/526], Loss: 0.4379
Epoch [28/100], Step[289/526], Loss: 0.6113
Epoch [28/100], Step[290/526], Loss: 0.4266
Epoch [28/100], Step[291/526], Loss: 0.4872
Epoch [28/100], Step[292/526], Loss: 0.2586
Epoch [28/100], Step[293/526], Loss: 0.3132
Epoch [28/100], Step[294/526], Loss: 0.3314
Epoch [28/100], Step[295/526], Loss: 0.4245
Epoch [28/100], Step[296/526], Loss: 0.6058
Epoch [28/100], Step[297/526], Loss: 0.2901
Epoch [28/100], Step[298/526], Loss: 0.2940
Epoch [28/100], Step[299/526], Loss: 0.2523
Epoch [28/100], Step[300/526], Loss: 0.3118
Epoch [28/100], Step[301/526], Loss: 0.5976
Epoch [28/100], Step[302/526], Loss: 0.3188
Epoch [28/100], Step[303/526], Loss: 0.4803
Epoch [28/100], Step[304/526], Loss: 0.2579
Epoch [28/100], Step[305/526], Loss: 0.2643
Epoch [28/100], Step[306/526], Loss: 0.5713
Epoch [28/100], Step[307/526], Loss: 0.8799
Epoch [28/100], Step[308/526], Loss: 1.2985
Epoch [28/100], Step[309/526], Loss: 0.8566
Epoch [28/100], Step[310/526], Loss: 0.9573
Epoch [28/100], Step[311/526], Loss: 0.8287
Epoch [28/100], Step[312/526], Loss: 0.4981
Epoch [28/100], Step[313/526], Loss: 0.4847
Epoch [28/100], Step[314/526], Loss: 0.6553
Epoch [28/100], Step[315/526], Loss: 0.7003
Epoch [28/100], Step[316/526], Loss: 0.4959
Epoch [28/100], Step[317/526], Loss: 0.3228
Epoch [28/100], Step[318/526], Loss: 0.7522
Epoch [28/100], Step[319/526], Loss: 0.3558
Epoch [28/100], Step[320/526], Loss: 0.5943
Epoch [28/100], Step[321/526], Loss: 0.7150
Epoch [28/100], Step[322/526], Loss: 0.2647
Epoch [28/100], Step[323/526], Loss: 0.6078
Epoch [28/100], Step[324/526], Loss: 0.6582
Epoch [28/100], Step[325/526], Loss: 0.5752
Epoch [28/100], Step[326/526], Loss: 0.7759
Epoch [28/100], Step[327/526], Loss: 0.7313
Epoch [28/100], Step[328/526], Loss: 0.9114
Epoch [28/100], Step[329/526], Loss: 1.2521
Epoch [28/100], Step[330/526], Loss: 1.0175
Epoch [28/100], Step[331/526], Loss: 0.8011
Epoch [28/100], Step[332/526], Loss: 0.8468
Epoch [28/100], Step[333/526], Loss: 0.7782
Epoch [28/100], Step[334/526], Loss: 0.7758
Epoch [28/100], Step[335/526], Loss: 0.7948
Epoch [28/100], Step[336/526], Loss: 0.7013
Epoch [28/100], Step[337/526], Loss: 0.5970
Epoch [28/100], Step[338/526], Loss: 0.7036
Epoch [28/100], Step[339/526], Loss: 0.6437
Epoch [28/100], Step[340/526], Loss: 0.7258
Epoch [28/100], Step[341/526], Loss: 0.7818
Epoch [28/100], Step[342/526], Loss: 0.7838
Epoch [28/100], Step[343/526], Loss: 0.5482
Epoch [28/100], Step[344/526], Loss: 0.7314
Epoch [28/100], Step[345/526], Loss: 0.6525
Epoch [28/100], Step[346/526], Loss: 0.6764
Epoch [28/100], Step[347/526], Loss: 0.7034
Epoch [28/100], Step[348/526], Loss: 0.6368
Epoch [28/100], Step[349/526], Loss: 0.5947
Epoch [28/100], Step[350/526], Loss: 0.6717
Epoch [28/100], Step[351/526], Loss: 0.7130
Epoch [28/100], Step[352/526], Loss: 0.6236
Epoch [28/100], Step[353/526], Loss: 0.6820
Epoch [28/100], Step[354/526], Loss: 0.6737
Epoch [28/100], Step[355/526], Loss: 0.6725
Epoch [28/100], Step[356/526], Loss: 0.6993
Epoch [28/100], Step[357/526], Loss: 0.6581
Epoch [28/100], Step[358/526], Loss: 0.7006
Epoch [28/100], Step[359/526], Loss: 0.6575
Epoch [28/100], Step[360/526], Loss: 0.6698
Epoch [28/100], Step[361/526], Loss: 0.7115
Epoch [28/100], Step[362/526], Loss: 0.7035
Epoch [28/100], Step[363/526], Loss: 0.6930
Epoch [28/100], Step[364/526], Loss: 0.7162
Epoch [28/100], Step[365/526], Loss: 0.7144
Epoch [28/100], Step[366/526], Loss: 0.6863
Epoch [28/100], Step[367/526], Loss: 0.6880
Epoch [28/100], Step[368/526], Loss: 0.6536
Epoch [28/100], Step[369/526], Loss: 0.6609
Epoch [28/100], Step[370/526], Loss: 0.6210
Epoch [28/100], Step[371/526], Loss: 0.7333
Epoch [28/100], Step[372/526], Loss: 0.6479
Epoch [28/100], Step[373/526], Loss: 0.6770
Epoch [28/100], Step[374/526], Loss: 0.7003
Epoch [28/100], Step[375/526], Loss: 0.6481
Epoch [28/100], Step[376/526], Loss: 0.6462
Epoch [28/100], Step[377/526], Loss: 0.6841
Epoch [28/100], Step[378/526], Loss: 0.6932
Epoch [28/100], Step[379/526], Loss: 0.7384
Epoch [28/100], Step[380/526], Loss: 0.6150
Epoch [28/100], Step[381/526], Loss: 0.6073
Epoch [28/100], Step[382/526], Loss: 0.6738
Epoch [28/100], Step[383/526], Loss: 0.6992
Epoch [28/100], Step[384/526], Loss: 0.6370
Epoch [28/100], Step[385/526], Loss: 0.6413
Epoch [28/100], Step[386/526], Loss: 0.6579
Epoch [28/100], Step[387/526], Loss: 0.6632
Epoch [28/100], Step[388/526], Loss: 0.6024
Epoch [28/100], Step[389/526], Loss: 0.7260
Epoch [28/100], Step[390/526], Loss: 0.5873
Epoch [28/100], Step[391/526], Loss: 0.6541
Epoch [28/100], Step[392/526], Loss: 0.7027
Epoch [28/100], Step[393/526], Loss: 0.5909
Epoch [28/100], Step[394/526], Loss: 0.5265
Epoch [28/100], Step[395/526], Loss: 0.6291
Epoch [28/100], Step[396/526], Loss: 0.6370
Epoch [28/100], Step[397/526], Loss: 0.4884
Epoch [28/100], Step[398/526], Loss: 0.6054
Epoch [28/100], Step[399/526], Loss: 0.6543
Epoch [28/100], Step[400/526], Loss: 0.4820
Epoch [28/100], Step[401/526], Loss: 0.5905
Epoch [28/100], Step[402/526], Loss: 0.6413
Epoch [28/100], Step[403/526], Loss: 0.7064
Epoch [28/100], Step[404/526], Loss: 0.4829
Epoch [28/100], Step[405/526], Loss: 0.5053
Epoch [28/100], Step[406/526], Loss: 0.6288
Epoch [28/100], Step[407/526], Loss: 0.7554
Epoch [28/100], Step[408/526], Loss: 0.6505
Epoch [28/100], Step[409/526], Loss: 0.4634
Epoch [28/100], Step[410/526], Loss: 0.4927
Epoch [28/100], Step[411/526], Loss: 0.5348
Epoch [28/100], Step[412/526], Loss: 0.5866
Epoch [28/100], Step[413/526], Loss: 0.5985
Epoch [28/100], Step[414/526], Loss: 0.6392
Epoch [28/100], Step[415/526], Loss: 0.6058
Epoch [28/100], Step[416/526], Loss: 0.5612
Epoch [28/100], Step[417/526], Loss: 0.4550
Epoch [28/100], Step[418/526], Loss: 0.7942
Epoch [28/100], Step[419/526], Loss: 0.6845
Epoch [28/100], Step[420/526], Loss: 0.7028
Epoch [28/100], Step[421/526], Loss: 0.6363
Epoch [28/100], Step[422/526], Loss: 0.7951
Epoch [28/100], Step[423/526], Loss: 0.7014
Epoch [28/100], Step[424/526], Loss: 0.7387
Epoch [28/100], Step[425/526], Loss: 0.7138
Epoch [28/100], Step[426/526], Loss: 0.7623
Epoch [28/100], Step[427/526], Loss: 0.6973
Epoch [28/100], Step[428/526], Loss: 0.7150
Epoch [28/100], Step[429/526], Loss: 0.7347
Epoch [28/100], Step[430/526], Loss: 0.7899
Epoch [28/100], Step[431/526], Loss: 0.7121
Epoch [28/100], Step[432/526], Loss: 0.7289
Epoch [28/100], Step[433/526], Loss: 0.6818
Epoch [28/100], Step[434/526], Loss: 0.6191
Epoch [28/100], Step[435/526], Loss: 0.7850
Epoch [28/100], Step[436/526], Loss: 0.8099
Epoch [28/100], Step[437/526], Loss: 0.5243
Epoch [28/100], Step[438/526], Loss: 0.3680
Epoch [28/100], Step[439/526], Loss: 0.7299
Epoch [28/100], Step[440/526], Loss: 0.6860
Epoch [28/100], Step[441/526], Loss: 0.7012
Epoch [28/100], Step[442/526], Loss: 0.6399
Epoch [28/100], Step[443/526], Loss: 0.6685
Epoch [28/100], Step[444/526], Loss: 0.7591
Epoch [28/100], Step[445/526], Loss: 0.7002
Epoch [28/100], Step[446/526], Loss: 0.7193
Epoch [28/100], Step[447/526], Loss: 0.7186
Epoch [28/100], Step[448/526], Loss: 0.7314
Epoch [28/100], Step[449/526], Loss: 0.6815
Epoch [28/100], Step[450/526], Loss: 0.6065
Epoch [28/100], Step[451/526], Loss: 0.6581
Epoch [28/100], Step[452/526], Loss: 0.7294
Epoch [28/100], Step[453/526], Loss: 0.7181
Epoch [28/100], Step[454/526], Loss: 0.8108
Epoch [28/100], Step[455/526], Loss: 0.6553
Epoch [28/100], Step[456/526], Loss: 0.6396
Epoch [28/100], Step[457/526], Loss: 0.7047
Epoch [28/100], Step[458/526], Loss: 0.6719
Epoch [28/100], Step[459/526], Loss: 0.6652
Epoch [28/100], Step[460/526], Loss: 0.6426
Epoch [28/100], Step[461/526], Loss: 0.6165
Epoch [28/100], Step[462/526], Loss: 0.6719
Epoch [28/100], Step[463/526], Loss: 0.6533
Epoch [28/100], Step[464/526], Loss: 0.6494
Epoch [28/100], Step[465/526], Loss: 0.6631
Epoch [28/100], Step[466/526], Loss: 0.6629
Epoch [28/100], Step[467/526], Loss: 0.6475
Epoch [28/100], Step[468/526], Loss: 0.6287
Epoch [28/100], Step[469/526], Loss: 0.8039
Epoch [28/100], Step[470/526], Loss: 0.6587
Epoch [28/100], Step[471/526], Loss: 0.6952
Epoch [28/100], Step[472/526], Loss: 0.6717
Epoch [28/100], Step[473/526], Loss: 0.6793
Epoch [28/100], Step[474/526], Loss: 0.6761
Epoch [28/100], Step[475/526], Loss: 0.8243
Epoch [28/100], Step[476/526], Loss: 0.7541
Epoch [28/100], Step[477/526], Loss: 0.7033
Epoch [28/100], Step[478/526], Loss: 0.6951
Epoch [28/100], Step[479/526], Loss: 0.6651
Epoch [28/100], Step[480/526], Loss: 0.7387
Epoch [28/100], Step[481/526], Loss: 0.7184
Epoch [28/100], Step[482/526], Loss: 0.6248
Epoch [28/100], Step[483/526], Loss: 0.5534
Epoch [28/100], Step[484/526], Loss: 0.6947
Epoch [28/100], Step[485/526], Loss: 0.7839
Epoch [28/100], Step[486/526], Loss: 0.7227
Epoch [28/100], Step[487/526], Loss: 0.7478
Epoch [28/100], Step[488/526], Loss: 0.6949
Epoch [28/100], Step[489/526], Loss: 0.6365
Epoch [28/100], Step[490/526], Loss: 0.6151
Epoch [28/100], Step[491/526], Loss: 0.6991
Epoch [28/100], Step[492/526], Loss: 0.6497
Epoch [28/100], Step[493/526], Loss: 0.6469
Epoch [28/100], Step[494/526], Loss: 0.6611
Epoch [28/100], Step[495/526], Loss: 0.6888
Epoch [28/100], Step[496/526], Loss: 0.6667
Epoch [28/100], Step[497/526], Loss: 0.6394
Epoch [28/100], Step[498/526], Loss: 0.6782
Epoch [28/100], Step[499/526], Loss: 0.6730
Epoch [28/100], Step[500/526], Loss: 0.6780
Epoch [28/100], Step[501/526], Loss: 0.6570
Epoch [28/100], Step[502/526], Loss: 0.6973
Epoch [28/100], Step[503/526], Loss: 0.7093
Epoch [28/100], Step[504/526], Loss: 0.6984
Epoch [28/100], Step[505/526], Loss: 0.7080
Epoch [28/100], Step[506/526], Loss: 0.6845
Epoch [28/100], Step[507/526], Loss: 0.6753
Epoch [28/100], Step[508/526], Loss: 0.7040
Epoch [28/100], Step[509/526], Loss: 0.6576
Epoch [28/100], Step[510/526], Loss: 0.7030
Epoch [28/100], Step[511/526], Loss: 0.6442
Epoch [28/100], Step[512/526], Loss: 0.6741
Epoch [28/100], Step[513/526], Loss: 0.6451
Epoch [28/100], Step[514/526], Loss: 0.6542
Epoch [28/100], Step[515/526], Loss: 0.5813
Epoch [28/100], Step[516/526], Loss: 0.7497
Epoch [28/100], Step[517/526], Loss: 0.6897
Epoch [28/100], Step[518/526], Loss: 0.7363
Epoch [28/100], Step[519/526], Loss: 0.7127
Epoch [28/100], Step[520/526], Loss: 0.6777
Epoch [28/100], Step[521/526], Loss: 0.6740
Epoch [28/100], Step[522/526], Loss: 0.6084
Epoch [28/100], Step[523/526], Loss: 0.6452
Epoch [28/100], Step[524/526], Loss: 0.6446
Epoch [28/100], Step[525/526], Loss: 0.7396
Epoch [28/100], Step[526/526], Loss: 0.7045
Epoch [29/100], Step[1/526], Loss: 0.6596
Epoch [29/100], Step[2/526], Loss: 0.6466
Epoch [29/100], Step[3/526], Loss: 0.6798
Epoch [29/100], Step[4/526], Loss: 0.6349
Epoch [29/100], Step[5/526], Loss: 0.7347
Epoch [29/100], Step[6/526], Loss: 0.7394
Epoch [29/100], Step[7/526], Loss: 0.6952
Epoch [29/100], Step[8/526], Loss: 0.6796
Epoch [29/100], Step[9/526], Loss: 0.7069
Epoch [29/100], Step[10/526], Loss: 0.6765
Epoch [29/100], Step[11/526], Loss: 0.6681
Epoch [29/100], Step[12/526], Loss: 0.7185
Epoch [29/100], Step[13/526], Loss: 0.6367
Epoch [29/100], Step[14/526], Loss: 0.6672
Epoch [29/100], Step[15/526], Loss: 0.6868
Epoch [29/100], Step[16/526], Loss: 0.7009
Epoch [29/100], Step[17/526], Loss: 0.7006
Epoch [29/100], Step[18/526], Loss: 0.6928
Epoch [29/100], Step[19/526], Loss: 0.6794
Epoch [29/100], Step[20/526], Loss: 0.7121
Epoch [29/100], Step[21/526], Loss: 0.7489
Epoch [29/100], Step[22/526], Loss: 0.7334
Epoch [29/100], Step[23/526], Loss: 0.7343
Epoch [29/100], Step[24/526], Loss: 0.7115
Epoch [29/100], Step[25/526], Loss: 0.6928
Epoch [29/100], Step[26/526], Loss: 0.6391
Epoch [29/100], Step[27/526], Loss: 0.6868
Epoch [29/100], Step[28/526], Loss: 0.6890
Epoch [29/100], Step[29/526], Loss: 0.6634
Epoch [29/100], Step[30/526], Loss: 0.6937
Epoch [29/100], Step[31/526], Loss: 0.7019
Epoch [29/100], Step[32/526], Loss: 0.6680
Epoch [29/100], Step[33/526], Loss: 0.7087
Epoch [29/100], Step[34/526], Loss: 0.6922
Epoch [29/100], Step[35/526], Loss: 0.7100
Epoch [29/100], Step[36/526], Loss: 0.6934
Epoch [29/100], Step[37/526], Loss: 0.6926
Epoch [29/100], Step[38/526], Loss: 0.7083
Epoch [29/100], Step[39/526], Loss: 0.6992
Epoch [29/100], Step[40/526], Loss: 0.7256
Epoch [29/100], Step[41/526], Loss: 0.6552
Epoch [29/100], Step[42/526], Loss: 0.7276
Epoch [29/100], Step[43/526], Loss: 0.7180
Epoch [29/100], Step[44/526], Loss: 0.6846
Epoch [29/100], Step[45/526], Loss: 0.6866
Epoch [29/100], Step[46/526], Loss: 0.6884
Epoch [29/100], Step[47/526], Loss: 0.7098
Epoch [29/100], Step[48/526], Loss: 0.7259
Epoch [29/100], Step[49/526], Loss: 0.7074
Epoch [29/100], Step[50/526], Loss: 0.7148
Epoch [29/100], Step[51/526], Loss: 0.6953
Epoch [29/100], Step[52/526], Loss: 0.6747
Epoch [29/100], Step[53/526], Loss: 0.7200
Epoch [29/100], Step[54/526], Loss: 0.6992
Epoch [29/100], Step[55/526], Loss: 0.6885
Epoch [29/100], Step[56/526], Loss: 0.7008
Epoch [29/100], Step[57/526], Loss: 0.6858
Epoch [29/100], Step[58/526], Loss: 0.6746
Epoch [29/100], Step[59/526], Loss: 0.6585
Epoch [29/100], Step[60/526], Loss: 0.6693
Epoch [29/100], Step[61/526], Loss: 0.6482
Epoch [29/100], Step[62/526], Loss: 0.6961
Epoch [29/100], Step[63/526], Loss: 0.6867
Epoch [29/100], Step[64/526], Loss: 0.6819
Epoch [29/100], Step[65/526], Loss: 0.7244
Epoch [29/100], Step[66/526], Loss: 0.6833
Epoch [29/100], Step[67/526], Loss: 0.6635
Epoch [29/100], Step[68/526], Loss: 0.6501
Epoch [29/100], Step[69/526], Loss: 0.6955
Epoch [29/100], Step[70/526], Loss: 0.6820
Epoch [29/100], Step[71/526], Loss: 0.6653
Epoch [29/100], Step[72/526], Loss: 0.6810
Epoch [29/100], Step[73/526], Loss: 0.7109
Epoch [29/100], Step[74/526], Loss: 0.6665
Epoch [29/100], Step[75/526], Loss: 0.7067
Epoch [29/100], Step[76/526], Loss: 0.6939
Epoch [29/100], Step[77/526], Loss: 0.6939
Epoch [29/100], Step[78/526], Loss: 0.7074
Epoch [29/100], Step[79/526], Loss: 0.6943
Epoch [29/100], Step[80/526], Loss: 0.6917
Epoch [29/100], Step[81/526], Loss: 0.7052
Epoch [29/100], Step[82/526], Loss: 0.7281
Epoch [29/100], Step[83/526], Loss: 0.7081
Epoch [29/100], Step[84/526], Loss: 0.7010
Epoch [29/100], Step[85/526], Loss: 0.6688
Epoch [29/100], Step[86/526], Loss: 0.7068
Epoch [29/100], Step[87/526], Loss: 0.6796
Epoch [29/100], Step[88/526], Loss: 0.6908
Epoch [29/100], Step[89/526], Loss: 0.7208
Epoch [29/100], Step[90/526], Loss: 0.6833
Epoch [29/100], Step[91/526], Loss: 0.6873
Epoch [29/100], Step[92/526], Loss: 0.6794
Epoch [29/100], Step[93/526], Loss: 0.6899
Epoch [29/100], Step[94/526], Loss: 0.7997
Epoch [29/100], Step[95/526], Loss: 0.7147
Epoch [29/100], Step[96/526], Loss: 0.6257
Epoch [29/100], Step[97/526], Loss: 0.5940
Epoch [29/100], Step[98/526], Loss: 0.6925
Epoch [29/100], Step[99/526], Loss: 0.6869
Epoch [29/100], Step[100/526], Loss: 0.6642
Epoch [29/100], Step[101/526], Loss: 0.6575
Epoch [29/100], Step[102/526], Loss: 0.6328
Epoch [29/100], Step[103/526], Loss: 0.7067
Epoch [29/100], Step[104/526], Loss: 0.6494
Epoch [29/100], Step[105/526], Loss: 0.6370
Epoch [29/100], Step[106/526], Loss: 0.6893
Epoch [29/100], Step[107/526], Loss: 0.6382
Epoch [29/100], Step[108/526], Loss: 0.5796
Epoch [29/100], Step[109/526], Loss: 0.6735
Epoch [29/100], Step[110/526], Loss: 0.6840
Epoch [29/100], Step[111/526], Loss: 0.5922
Epoch [29/100], Step[112/526], Loss: 0.7350
Epoch [29/100], Step[113/526], Loss: 0.6035
Epoch [29/100], Step[114/526], Loss: 0.6539
Epoch [29/100], Step[115/526], Loss: 0.6012
Epoch [29/100], Step[116/526], Loss: 0.6207
Epoch [29/100], Step[117/526], Loss: 0.6614
Epoch [29/100], Step[118/526], Loss: 0.7609
Epoch [29/100], Step[119/526], Loss: 0.6800
Epoch [29/100], Step[120/526], Loss: 0.6802
Epoch [29/100], Step[121/526], Loss: 0.6921
Epoch [29/100], Step[122/526], Loss: 0.6247
Epoch [29/100], Step[123/526], Loss: 0.6499
Epoch [29/100], Step[124/526], Loss: 0.6747
Epoch [29/100], Step[125/526], Loss: 0.6286
Epoch [29/100], Step[126/526], Loss: 0.7175
Epoch [29/100], Step[127/526], Loss: 0.6782
Epoch [29/100], Step[128/526], Loss: 0.6406
Epoch [29/100], Step[129/526], Loss: 0.5870
Epoch [29/100], Step[130/526], Loss: 0.5899
Epoch [29/100], Step[131/526], Loss: 0.6798
Epoch [29/100], Step[132/526], Loss: 0.7283
Epoch [29/100], Step[133/526], Loss: 0.6807
Epoch [29/100], Step[134/526], Loss: 0.6277
Epoch [29/100], Step[135/526], Loss: 0.6464
Epoch [29/100], Step[136/526], Loss: 0.5610
Epoch [29/100], Step[137/526], Loss: 0.6505
Epoch [29/100], Step[138/526], Loss: 0.6516
Epoch [29/100], Step[139/526], Loss: 0.7153
Epoch [29/100], Step[140/526], Loss: 0.5863
Epoch [29/100], Step[141/526], Loss: 0.6781
Epoch [29/100], Step[142/526], Loss: 0.6615
Epoch [29/100], Step[143/526], Loss: 0.6920
Epoch [29/100], Step[144/526], Loss: 0.7798
Epoch [29/100], Step[145/526], Loss: 0.5474
Epoch [29/100], Step[146/526], Loss: 0.5076
Epoch [29/100], Step[147/526], Loss: 0.4481
Epoch [29/100], Step[148/526], Loss: 0.5926
Epoch [29/100], Step[149/526], Loss: 0.4923
Epoch [29/100], Step[150/526], Loss: 0.6016
Epoch [29/100], Step[151/526], Loss: 0.5509
Epoch [29/100], Step[152/526], Loss: 0.6168
Epoch [29/100], Step[153/526], Loss: 0.6242
Epoch [29/100], Step[154/526], Loss: 0.7310
Epoch [29/100], Step[155/526], Loss: 0.7291
Epoch [29/100], Step[156/526], Loss: 0.5155
Epoch [29/100], Step[157/526], Loss: 0.2620
Epoch [29/100], Step[158/526], Loss: 0.6017
Epoch [29/100], Step[159/526], Loss: 0.6671
Epoch [29/100], Step[160/526], Loss: 0.5487
Epoch [29/100], Step[161/526], Loss: 1.0054
Epoch [29/100], Step[162/526], Loss: 0.6897
Epoch [29/100], Step[163/526], Loss: 0.7238
Epoch [29/100], Step[164/526], Loss: 0.6211
Epoch [29/100], Step[165/526], Loss: 0.7276
Epoch [29/100], Step[166/526], Loss: 0.4942
Epoch [29/100], Step[167/526], Loss: 0.5262
Epoch [29/100], Step[168/526], Loss: 0.6850
Epoch [29/100], Step[169/526], Loss: 0.7568
Epoch [29/100], Step[170/526], Loss: 0.7017
Epoch [29/100], Step[171/526], Loss: 0.7265
Epoch [29/100], Step[172/526], Loss: 0.7252
Epoch [29/100], Step[173/526], Loss: 0.8155
Epoch [29/100], Step[174/526], Loss: 0.6279
Epoch [29/100], Step[175/526], Loss: 0.6585
Epoch [29/100], Step[176/526], Loss: 0.6363
Epoch [29/100], Step[177/526], Loss: 0.6545
Epoch [29/100], Step[178/526], Loss: 0.7029
Epoch [29/100], Step[179/526], Loss: 0.6389
Epoch [29/100], Step[180/526], Loss: 0.6771
Epoch [29/100], Step[181/526], Loss: 0.6384
Epoch [29/100], Step[182/526], Loss: 0.6838
Epoch [29/100], Step[183/526], Loss: 0.5289
Epoch [29/100], Step[184/526], Loss: 0.5947
Epoch [29/100], Step[185/526], Loss: 0.5826
Epoch [29/100], Step[186/526], Loss: 0.6639
Epoch [29/100], Step[187/526], Loss: 0.7571
Epoch [29/100], Step[188/526], Loss: 0.7054
Epoch [29/100], Step[189/526], Loss: 0.6798
Epoch [29/100], Step[190/526], Loss: 0.6046
Epoch [29/100], Step[191/526], Loss: 0.7206
Epoch [29/100], Step[192/526], Loss: 0.7727
Epoch [29/100], Step[193/526], Loss: 0.6522
Epoch [29/100], Step[194/526], Loss: 0.6130
Epoch [29/100], Step[195/526], Loss: 0.6514
Epoch [29/100], Step[196/526], Loss: 0.7308
Epoch [29/100], Step[197/526], Loss: 0.6836
Epoch [29/100], Step[198/526], Loss: 0.6350
Epoch [29/100], Step[199/526], Loss: 0.7258
Epoch [29/100], Step[200/526], Loss: 0.6673
Epoch [29/100], Step[201/526], Loss: 0.6773
Epoch [29/100], Step[202/526], Loss: 0.7454
Epoch [29/100], Step[203/526], Loss: 0.7052
Epoch [29/100], Step[204/526], Loss: 0.7339
Epoch [29/100], Step[205/526], Loss: 0.7040
Epoch [29/100], Step[206/526], Loss: 0.6816
Epoch [29/100], Step[207/526], Loss: 0.7071
Epoch [29/100], Step[208/526], Loss: 0.6844
Epoch [29/100], Step[209/526], Loss: 0.6827
Epoch [29/100], Step[210/526], Loss: 0.7686
Epoch [29/100], Step[211/526], Loss: 0.6368
Epoch [29/100], Step[212/526], Loss: 0.6877
Epoch [29/100], Step[213/526], Loss: 0.7201
Epoch [29/100], Step[214/526], Loss: 0.7443
Epoch [29/100], Step[215/526], Loss: 0.6917
Epoch [29/100], Step[216/526], Loss: 0.6806
Epoch [29/100], Step[217/526], Loss: 0.6736
Epoch [29/100], Step[218/526], Loss: 0.6983
Epoch [29/100], Step[219/526], Loss: 0.6970
Epoch [29/100], Step[220/526], Loss: 0.7259
Epoch [29/100], Step[221/526], Loss: 0.6929
Epoch [29/100], Step[222/526], Loss: 0.7397
Epoch [29/100], Step[223/526], Loss: 0.6799
Epoch [29/100], Step[224/526], Loss: 0.6852
Epoch [29/100], Step[225/526], Loss: 0.7211
Epoch [29/100], Step[226/526], Loss: 0.6806
Epoch [29/100], Step[227/526], Loss: 0.6762
Epoch [29/100], Step[228/526], Loss: 0.6702
Epoch [29/100], Step[229/526], Loss: 0.6915
Epoch [29/100], Step[230/526], Loss: 0.6637
Epoch [29/100], Step[231/526], Loss: 0.6681
Epoch [29/100], Step[232/526], Loss: 0.7072
Epoch [29/100], Step[233/526], Loss: 0.6862
Epoch [29/100], Step[234/526], Loss: 0.6799
Epoch [29/100], Step[235/526], Loss: 0.7062
Epoch [29/100], Step[236/526], Loss: 0.6907
Epoch [29/100], Step[237/526], Loss: 0.7174
Epoch [29/100], Step[238/526], Loss: 0.6887
Epoch [29/100], Step[239/526], Loss: 0.6736
Epoch [29/100], Step[240/526], Loss: 0.7248
Epoch [29/100], Step[241/526], Loss: 0.6999
Epoch [29/100], Step[242/526], Loss: 0.7104
Epoch [29/100], Step[243/526], Loss: 0.6235
Epoch [29/100], Step[244/526], Loss: 0.6521
Epoch [29/100], Step[245/526], Loss: 0.6437
Epoch [29/100], Step[246/526], Loss: 0.6638
Epoch [29/100], Step[247/526], Loss: 0.6266
Epoch [29/100], Step[248/526], Loss: 0.6564
Epoch [29/100], Step[249/526], Loss: 0.6670
Epoch [29/100], Step[250/526], Loss: 0.6806
Epoch [29/100], Step[251/526], Loss: 0.7003
Epoch [29/100], Step[252/526], Loss: 0.6938
Epoch [29/100], Step[253/526], Loss: 0.6324
Epoch [29/100], Step[254/526], Loss: 0.6607
Epoch [29/100], Step[255/526], Loss: 0.6071
Epoch [29/100], Step[256/526], Loss: 0.6865
Epoch [29/100], Step[257/526], Loss: 0.6578
Epoch [29/100], Step[258/526], Loss: 0.6327
Epoch [29/100], Step[259/526], Loss: 0.6864
Epoch [29/100], Step[260/526], Loss: 0.7362
Epoch [29/100], Step[261/526], Loss: 0.7466
Epoch [29/100], Step[262/526], Loss: 0.6827
Epoch [29/100], Step[263/526], Loss: 0.6658
Epoch [29/100], Step[264/526], Loss: 0.6509
Epoch [29/100], Step[265/526], Loss: 0.6406
Epoch [29/100], Step[266/526], Loss: 0.6373
Epoch [29/100], Step[267/526], Loss: 0.4992
Epoch [29/100], Step[268/526], Loss: 0.5482
Epoch [29/100], Step[269/526], Loss: 0.4801
Epoch [29/100], Step[270/526], Loss: 0.3976
Epoch [29/100], Step[271/526], Loss: 0.5198
Epoch [29/100], Step[272/526], Loss: 0.5384
Epoch [29/100], Step[273/526], Loss: 0.6298
Epoch [29/100], Step[274/526], Loss: 0.4513
Epoch [29/100], Step[275/526], Loss: 0.4149
Epoch [29/100], Step[276/526], Loss: 0.4733
Epoch [29/100], Step[277/526], Loss: 0.4451
Epoch [29/100], Step[278/526], Loss: 0.4566
Epoch [29/100], Step[279/526], Loss: 0.4056
Epoch [29/100], Step[280/526], Loss: 0.4510
Epoch [29/100], Step[281/526], Loss: 0.6204
Epoch [29/100], Step[282/526], Loss: 0.3645
Epoch [29/100], Step[283/526], Loss: 0.3648
Epoch [29/100], Step[284/526], Loss: 0.3995
Epoch [29/100], Step[285/526], Loss: 0.2843
Epoch [29/100], Step[286/526], Loss: 0.6940
Epoch [29/100], Step[287/526], Loss: 0.4804
Epoch [29/100], Step[288/526], Loss: 0.4373
Epoch [29/100], Step[289/526], Loss: 0.6115
Epoch [29/100], Step[290/526], Loss: 0.4277
Epoch [29/100], Step[291/526], Loss: 0.4845
Epoch [29/100], Step[292/526], Loss: 0.2575
Epoch [29/100], Step[293/526], Loss: 0.3128
Epoch [29/100], Step[294/526], Loss: 0.3290
Epoch [29/100], Step[295/526], Loss: 0.4233
Epoch [29/100], Step[296/526], Loss: 0.6126
Epoch [29/100], Step[297/526], Loss: 0.2885
Epoch [29/100], Step[298/526], Loss: 0.2935
Epoch [29/100], Step[299/526], Loss: 0.2512
Epoch [29/100], Step[300/526], Loss: 0.3092
Epoch [29/100], Step[301/526], Loss: 0.6012
Epoch [29/100], Step[302/526], Loss: 0.3190
Epoch [29/100], Step[303/526], Loss: 0.4799
Epoch [29/100], Step[304/526], Loss: 0.2570
Epoch [29/100], Step[305/526], Loss: 0.2620
Epoch [29/100], Step[306/526], Loss: 0.5682
Epoch [29/100], Step[307/526], Loss: 0.8777
Epoch [29/100], Step[308/526], Loss: 1.3018
Epoch [29/100], Step[309/526], Loss: 0.8721
Epoch [29/100], Step[310/526], Loss: 0.9588
Epoch [29/100], Step[311/526], Loss: 0.8207
Epoch [29/100], Step[312/526], Loss: 0.4970
Epoch [29/100], Step[313/526], Loss: 0.4837
Epoch [29/100], Step[314/526], Loss: 0.6552
Epoch [29/100], Step[315/526], Loss: 0.7015
Epoch [29/100], Step[316/526], Loss: 0.4946
Epoch [29/100], Step[317/526], Loss: 0.3223
Epoch [29/100], Step[318/526], Loss: 0.7522
Epoch [29/100], Step[319/526], Loss: 0.3559
Epoch [29/100], Step[320/526], Loss: 0.5985
Epoch [29/100], Step[321/526], Loss: 0.7140
Epoch [29/100], Step[322/526], Loss: 0.2661
Epoch [29/100], Step[323/526], Loss: 0.6087
Epoch [29/100], Step[324/526], Loss: 0.6583
Epoch [29/100], Step[325/526], Loss: 0.5745
Epoch [29/100], Step[326/526], Loss: 0.7767
Epoch [29/100], Step[327/526], Loss: 0.7312
Epoch [29/100], Step[328/526], Loss: 0.9131
Epoch [29/100], Step[329/526], Loss: 1.2529
Epoch [29/100], Step[330/526], Loss: 1.0215
Epoch [29/100], Step[331/526], Loss: 0.7999
Epoch [29/100], Step[332/526], Loss: 0.8459
Epoch [29/100], Step[333/526], Loss: 0.7789
Epoch [29/100], Step[334/526], Loss: 0.7764
Epoch [29/100], Step[335/526], Loss: 0.8059
Epoch [29/100], Step[336/526], Loss: 0.7019
Epoch [29/100], Step[337/526], Loss: 0.5962
Epoch [29/100], Step[338/526], Loss: 0.7037
Epoch [29/100], Step[339/526], Loss: 0.6440
Epoch [29/100], Step[340/526], Loss: 0.7264
Epoch [29/100], Step[341/526], Loss: 0.7818
Epoch [29/100], Step[342/526], Loss: 0.7852
Epoch [29/100], Step[343/526], Loss: 0.5478
Epoch [29/100], Step[344/526], Loss: 0.7324
Epoch [29/100], Step[345/526], Loss: 0.6523
Epoch [29/100], Step[346/526], Loss: 0.6741
Epoch [29/100], Step[347/526], Loss: 0.7039
Epoch [29/100], Step[348/526], Loss: 0.6368
Epoch [29/100], Step[349/526], Loss: 0.5926
Epoch [29/100], Step[350/526], Loss: 0.6724
Epoch [29/100], Step[351/526], Loss: 0.7144
Epoch [29/100], Step[352/526], Loss: 0.6216
Epoch [29/100], Step[353/526], Loss: 0.6828
Epoch [29/100], Step[354/526], Loss: 0.6736
Epoch [29/100], Step[355/526], Loss: 0.6727
Epoch [29/100], Step[356/526], Loss: 0.6999
Epoch [29/100], Step[357/526], Loss: 0.6583
Epoch [29/100], Step[358/526], Loss: 0.7002
Epoch [29/100], Step[359/526], Loss: 0.6557
Epoch [29/100], Step[360/526], Loss: 0.6710
Epoch [29/100], Step[361/526], Loss: 0.7162
Epoch [29/100], Step[362/526], Loss: 0.7038
Epoch [29/100], Step[363/526], Loss: 0.6933
Epoch [29/100], Step[364/526], Loss: 0.7146
Epoch [29/100], Step[365/526], Loss: 0.7145
Epoch [29/100], Step[366/526], Loss: 0.6871
Epoch [29/100], Step[367/526], Loss: 0.6883
Epoch [29/100], Step[368/526], Loss: 0.6531
Epoch [29/100], Step[369/526], Loss: 0.6605
Epoch [29/100], Step[370/526], Loss: 0.6232
Epoch [29/100], Step[371/526], Loss: 0.7331
Epoch [29/100], Step[372/526], Loss: 0.6471
Epoch [29/100], Step[373/526], Loss: 0.6757
Epoch [29/100], Step[374/526], Loss: 0.6998
Epoch [29/100], Step[375/526], Loss: 0.6477
Epoch [29/100], Step[376/526], Loss: 0.6391
Epoch [29/100], Step[377/526], Loss: 0.6840
Epoch [29/100], Step[378/526], Loss: 0.6927
Epoch [29/100], Step[379/526], Loss: 0.7387
Epoch [29/100], Step[380/526], Loss: 0.6135
Epoch [29/100], Step[381/526], Loss: 0.6048
Epoch [29/100], Step[382/526], Loss: 0.6732
Epoch [29/100], Step[383/526], Loss: 0.6952
Epoch [29/100], Step[384/526], Loss: 0.6348
Epoch [29/100], Step[385/526], Loss: 0.6356
Epoch [29/100], Step[386/526], Loss: 0.6582
Epoch [29/100], Step[387/526], Loss: 0.6593
Epoch [29/100], Step[388/526], Loss: 0.5994
Epoch [29/100], Step[389/526], Loss: 0.7272
Epoch [29/100], Step[390/526], Loss: 0.5873
Epoch [29/100], Step[391/526], Loss: 0.6541
Epoch [29/100], Step[392/526], Loss: 0.7020
Epoch [29/100], Step[393/526], Loss: 0.5896
Epoch [29/100], Step[394/526], Loss: 0.5223
Epoch [29/100], Step[395/526], Loss: 0.6265
Epoch [29/100], Step[396/526], Loss: 0.6344
Epoch [29/100], Step[397/526], Loss: 0.4827
Epoch [29/100], Step[398/526], Loss: 0.6041
Epoch [29/100], Step[399/526], Loss: 0.6542
Epoch [29/100], Step[400/526], Loss: 0.4775
Epoch [29/100], Step[401/526], Loss: 0.5925
Epoch [29/100], Step[402/526], Loss: 0.6374
Epoch [29/100], Step[403/526], Loss: 0.7113
Epoch [29/100], Step[404/526], Loss: 0.4802
Epoch [29/100], Step[405/526], Loss: 0.5037
Epoch [29/100], Step[406/526], Loss: 0.6301
Epoch [29/100], Step[407/526], Loss: 0.7528
Epoch [29/100], Step[408/526], Loss: 0.6485
Epoch [29/100], Step[409/526], Loss: 0.4603
Epoch [29/100], Step[410/526], Loss: 0.4909
Epoch [29/100], Step[411/526], Loss: 0.5346
Epoch [29/100], Step[412/526], Loss: 0.5864
Epoch [29/100], Step[413/526], Loss: 0.5953
Epoch [29/100], Step[414/526], Loss: 0.6369
Epoch [29/100], Step[415/526], Loss: 0.6079
Epoch [29/100], Step[416/526], Loss: 0.5512
Epoch [29/100], Step[417/526], Loss: 0.4558
Epoch [29/100], Step[418/526], Loss: 0.7613
Epoch [29/100], Step[419/526], Loss: 0.6854
Epoch [29/100], Step[420/526], Loss: 0.6981
Epoch [29/100], Step[421/526], Loss: 0.6361
Epoch [29/100], Step[422/526], Loss: 0.7922
Epoch [29/100], Step[423/526], Loss: 0.7003
Epoch [29/100], Step[424/526], Loss: 0.7350
Epoch [29/100], Step[425/526], Loss: 0.7084
Epoch [29/100], Step[426/526], Loss: 0.7600
Epoch [29/100], Step[427/526], Loss: 0.6976
Epoch [29/100], Step[428/526], Loss: 0.7154
Epoch [29/100], Step[429/526], Loss: 0.7382
Epoch [29/100], Step[430/526], Loss: 0.7775
Epoch [29/100], Step[431/526], Loss: 0.7131
Epoch [29/100], Step[432/526], Loss: 0.7283
Epoch [29/100], Step[433/526], Loss: 0.6818
Epoch [29/100], Step[434/526], Loss: 0.6196
Epoch [29/100], Step[435/526], Loss: 0.7871
Epoch [29/100], Step[436/526], Loss: 0.8150
Epoch [29/100], Step[437/526], Loss: 0.5240
Epoch [29/100], Step[438/526], Loss: 0.3652
Epoch [29/100], Step[439/526], Loss: 0.7286
Epoch [29/100], Step[440/526], Loss: 0.6940
Epoch [29/100], Step[441/526], Loss: 0.6923
Epoch [29/100], Step[442/526], Loss: 0.6412
Epoch [29/100], Step[443/526], Loss: 0.6668
Epoch [29/100], Step[444/526], Loss: 0.7588
Epoch [29/100], Step[445/526], Loss: 0.7007
Epoch [29/100], Step[446/526], Loss: 0.7192
Epoch [29/100], Step[447/526], Loss: 0.7168
Epoch [29/100], Step[448/526], Loss: 0.7312
Epoch [29/100], Step[449/526], Loss: 0.6790
Epoch [29/100], Step[450/526], Loss: 0.6054
Epoch [29/100], Step[451/526], Loss: 0.6601
Epoch [29/100], Step[452/526], Loss: 0.7286
Epoch [29/100], Step[453/526], Loss: 0.7200
Epoch [29/100], Step[454/526], Loss: 0.8143
Epoch [29/100], Step[455/526], Loss: 0.6550
Epoch [29/100], Step[456/526], Loss: 0.6324
Epoch [29/100], Step[457/526], Loss: 0.7072
Epoch [29/100], Step[458/526], Loss: 0.6740
Epoch [29/100], Step[459/526], Loss: 0.6650
Epoch [29/100], Step[460/526], Loss: 0.6406
Epoch [29/100], Step[461/526], Loss: 0.6158
Epoch [29/100], Step[462/526], Loss: 0.6713
Epoch [29/100], Step[463/526], Loss: 0.6526
Epoch [29/100], Step[464/526], Loss: 0.6457
Epoch [29/100], Step[465/526], Loss: 0.6631
Epoch [29/100], Step[466/526], Loss: 0.6624
Epoch [29/100], Step[467/526], Loss: 0.6478
Epoch [29/100], Step[468/526], Loss: 0.6280
Epoch [29/100], Step[469/526], Loss: 0.8084
Epoch [29/100], Step[470/526], Loss: 0.6575
Epoch [29/100], Step[471/526], Loss: 0.6952
Epoch [29/100], Step[472/526], Loss: 0.6681
Epoch [29/100], Step[473/526], Loss: 0.6789
Epoch [29/100], Step[474/526], Loss: 0.6761
Epoch [29/100], Step[475/526], Loss: 0.8246
Epoch [29/100], Step[476/526], Loss: 0.7538
Epoch [29/100], Step[477/526], Loss: 0.7043
Epoch [29/100], Step[478/526], Loss: 0.6984
Epoch [29/100], Step[479/526], Loss: 0.6638
Epoch [29/100], Step[480/526], Loss: 0.7380
Epoch [29/100], Step[481/526], Loss: 0.7187
Epoch [29/100], Step[482/526], Loss: 0.6229
Epoch [29/100], Step[483/526], Loss: 0.5525
Epoch [29/100], Step[484/526], Loss: 0.6817
Epoch [29/100], Step[485/526], Loss: 0.7924
Epoch [29/100], Step[486/526], Loss: 0.7234
Epoch [29/100], Step[487/526], Loss: 0.7526
Epoch [29/100], Step[488/526], Loss: 0.6795
Epoch [29/100], Step[489/526], Loss: 0.6429
Epoch [29/100], Step[490/526], Loss: 0.5598
Epoch [29/100], Step[491/526], Loss: 0.5476
Epoch [29/100], Step[492/526], Loss: 0.6583
Epoch [29/100], Step[493/526], Loss: 0.5876
Epoch [29/100], Step[494/526], Loss: 0.7674
Epoch [29/100], Step[495/526], Loss: 0.7499
Epoch [29/100], Step[496/526], Loss: 0.6246
Epoch [29/100], Step[497/526], Loss: 0.6271
Epoch [29/100], Step[498/526], Loss: 0.7194
Epoch [29/100], Step[499/526], Loss: 0.6503
Epoch [29/100], Step[500/526], Loss: 0.6463
Epoch [29/100], Step[501/526], Loss: 0.6777
Epoch [29/100], Step[502/526], Loss: 0.7277
Epoch [29/100], Step[503/526], Loss: 0.7621
Epoch [29/100], Step[504/526], Loss: 0.7183
Epoch [29/100], Step[505/526], Loss: 0.7482
Epoch [29/100], Step[506/526], Loss: 0.6880
Epoch [29/100], Step[507/526], Loss: 0.6636
Epoch [29/100], Step[508/526], Loss: 0.7077
Epoch [29/100], Step[509/526], Loss: 0.6484
Epoch [29/100], Step[510/526], Loss: 0.7042
Epoch [29/100], Step[511/526], Loss: 0.6482
Epoch [29/100], Step[512/526], Loss: 0.6781
Epoch [29/100], Step[513/526], Loss: 0.6632
Epoch [29/100], Step[514/526], Loss: 0.6673
Epoch [29/100], Step[515/526], Loss: 0.5996
Epoch [29/100], Step[516/526], Loss: 0.7564
Epoch [29/100], Step[517/526], Loss: 0.6841
Epoch [29/100], Step[518/526], Loss: 0.7336
Epoch [29/100], Step[519/526], Loss: 0.7153
Epoch [29/100], Step[520/526], Loss: 0.6742
Epoch [29/100], Step[521/526], Loss: 0.6727
Epoch [29/100], Step[522/526], Loss: 0.6093
Epoch [29/100], Step[523/526], Loss: 0.6437
Epoch [29/100], Step[524/526], Loss: 0.6480
Epoch [29/100], Step[525/526], Loss: 0.7287
Epoch [29/100], Step[526/526], Loss: 0.7041
Epoch [30/100], Step[1/526], Loss: 0.6666
Epoch [30/100], Step[2/526], Loss: 0.6571
Epoch [30/100], Step[3/526], Loss: 0.6785
Epoch [30/100], Step[4/526], Loss: 0.6399
Epoch [30/100], Step[5/526], Loss: 0.7343
Epoch [30/100], Step[6/526], Loss: 0.7330
Epoch [30/100], Step[7/526], Loss: 0.6944
Epoch [30/100], Step[8/526], Loss: 0.6772
Epoch [30/100], Step[9/526], Loss: 0.7025
Epoch [30/100], Step[10/526], Loss: 0.6784
Epoch [30/100], Step[11/526], Loss: 0.6706
Epoch [30/100], Step[12/526], Loss: 0.7162
Epoch [30/100], Step[13/526], Loss: 0.6412
Epoch [30/100], Step[14/526], Loss: 0.6645
Epoch [30/100], Step[15/526], Loss: 0.6886
Epoch [30/100], Step[16/526], Loss: 0.7000
Epoch [30/100], Step[17/526], Loss: 0.6957
Epoch [30/100], Step[18/526], Loss: 0.6880
Epoch [30/100], Step[19/526], Loss: 0.6828
Epoch [30/100], Step[20/526], Loss: 0.7085
Epoch [30/100], Step[21/526], Loss: 0.7445
Epoch [30/100], Step[22/526], Loss: 0.7297
Epoch [30/100], Step[23/526], Loss: 0.7336
Epoch [30/100], Step[24/526], Loss: 0.7142
Epoch [30/100], Step[25/526], Loss: 0.6919
Epoch [30/100], Step[26/526], Loss: 0.6424
Epoch [30/100], Step[27/526], Loss: 0.6904
Epoch [30/100], Step[28/526], Loss: 0.6939
Epoch [30/100], Step[29/526], Loss: 0.6667
Epoch [30/100], Step[30/526], Loss: 0.6892
Epoch [30/100], Step[31/526], Loss: 0.7009
Epoch [30/100], Step[32/526], Loss: 0.6703
Epoch [30/100], Step[33/526], Loss: 0.7068
Epoch [30/100], Step[34/526], Loss: 0.6883
Epoch [30/100], Step[35/526], Loss: 0.7079
Epoch [30/100], Step[36/526], Loss: 0.6891
Epoch [30/100], Step[37/526], Loss: 0.6951
Epoch [30/100], Step[38/526], Loss: 0.7066
Epoch [30/100], Step[39/526], Loss: 0.7000
Epoch [30/100], Step[40/526], Loss: 0.7247
Epoch [30/100], Step[41/526], Loss: 0.6555
Epoch [30/100], Step[42/526], Loss: 0.7256
Epoch [30/100], Step[43/526], Loss: 0.7164
Epoch [30/100], Step[44/526], Loss: 0.6861
Epoch [30/100], Step[45/526], Loss: 0.6863
Epoch [30/100], Step[46/526], Loss: 0.6870
Epoch [30/100], Step[47/526], Loss: 0.7084
Epoch [30/100], Step[48/526], Loss: 0.7217
Epoch [30/100], Step[49/526], Loss: 0.7057
Epoch [30/100], Step[50/526], Loss: 0.7139
Epoch [30/100], Step[51/526], Loss: 0.6970
Epoch [30/100], Step[52/526], Loss: 0.6746
Epoch [30/100], Step[53/526], Loss: 0.7179
Epoch [30/100], Step[54/526], Loss: 0.6979
Epoch [30/100], Step[55/526], Loss: 0.6897
Epoch [30/100], Step[56/526], Loss: 0.6973
Epoch [30/100], Step[57/526], Loss: 0.6860
Epoch [30/100], Step[58/526], Loss: 0.6750
Epoch [30/100], Step[59/526], Loss: 0.6587
Epoch [30/100], Step[60/526], Loss: 0.6713
Epoch [30/100], Step[61/526], Loss: 0.6503
Epoch [30/100], Step[62/526], Loss: 0.6949
Epoch [30/100], Step[63/526], Loss: 0.6877
Epoch [30/100], Step[64/526], Loss: 0.6815
Epoch [30/100], Step[65/526], Loss: 0.7216
Epoch [30/100], Step[66/526], Loss: 0.6841
Epoch [30/100], Step[67/526], Loss: 0.6658
Epoch [30/100], Step[68/526], Loss: 0.6527
Epoch [30/100], Step[69/526], Loss: 0.6962
Epoch [30/100], Step[70/526], Loss: 0.6827
Epoch [30/100], Step[71/526], Loss: 0.6672
Epoch [30/100], Step[72/526], Loss: 0.6798
Epoch [30/100], Step[73/526], Loss: 0.7101
Epoch [30/100], Step[74/526], Loss: 0.6671
Epoch [30/100], Step[75/526], Loss: 0.7059
Epoch [30/100], Step[76/526], Loss: 0.6939
Epoch [30/100], Step[77/526], Loss: 0.6943
Epoch [30/100], Step[78/526], Loss: 0.7065
Epoch [30/100], Step[79/526], Loss: 0.6926
Epoch [30/100], Step[80/526], Loss: 0.6913
Epoch [30/100], Step[81/526], Loss: 0.7043
Epoch [30/100], Step[82/526], Loss: 0.7279
Epoch [30/100], Step[83/526], Loss: 0.7063
Epoch [30/100], Step[84/526], Loss: 0.6977
Epoch [30/100], Step[85/526], Loss: 0.6669
Epoch [30/100], Step[86/526], Loss: 0.7070
Epoch [30/100], Step[87/526], Loss: 0.6805
Epoch [30/100], Step[88/526], Loss: 0.6922
Epoch [30/100], Step[89/526], Loss: 0.7194
Epoch [30/100], Step[90/526], Loss: 0.6868
Epoch [30/100], Step[91/526], Loss: 0.6861
Epoch [30/100], Step[92/526], Loss: 0.6789
Epoch [30/100], Step[93/526], Loss: 0.6891
Epoch [30/100], Step[94/526], Loss: 0.7926
Epoch [30/100], Step[95/526], Loss: 0.7129
Epoch [30/100], Step[96/526], Loss: 0.6273
Epoch [30/100], Step[97/526], Loss: 0.5972
Epoch [30/100], Step[98/526], Loss: 0.6907
Epoch [30/100], Step[99/526], Loss: 0.6886
Epoch [30/100], Step[100/526], Loss: 0.6649
Epoch [30/100], Step[101/526], Loss: 0.6589
Epoch [30/100], Step[102/526], Loss: 0.6362
Epoch [30/100], Step[103/526], Loss: 0.7074
Epoch [30/100], Step[104/526], Loss: 0.6521
Epoch [30/100], Step[105/526], Loss: 0.6390
Epoch [30/100], Step[106/526], Loss: 0.6896
Epoch [30/100], Step[107/526], Loss: 0.6400
Epoch [30/100], Step[108/526], Loss: 0.5831
Epoch [30/100], Step[109/526], Loss: 0.6726
Epoch [30/100], Step[110/526], Loss: 0.6831
Epoch [30/100], Step[111/526], Loss: 0.5955
Epoch [30/100], Step[112/526], Loss: 0.7326
Epoch [30/100], Step[113/526], Loss: 0.6046
Epoch [30/100], Step[114/526], Loss: 0.6571
Epoch [30/100], Step[115/526], Loss: 0.6040
Epoch [30/100], Step[116/526], Loss: 0.6237
Epoch [30/100], Step[117/526], Loss: 0.6622
Epoch [30/100], Step[118/526], Loss: 0.7570
Epoch [30/100], Step[119/526], Loss: 0.6808
Epoch [30/100], Step[120/526], Loss: 0.6796
Epoch [30/100], Step[121/526], Loss: 0.6929
Epoch [30/100], Step[122/526], Loss: 0.6273
Epoch [30/100], Step[123/526], Loss: 0.6486
Epoch [30/100], Step[124/526], Loss: 0.6751
Epoch [30/100], Step[125/526], Loss: 0.6292
Epoch [30/100], Step[126/526], Loss: 0.7197
Epoch [30/100], Step[127/526], Loss: 0.6798
Epoch [30/100], Step[128/526], Loss: 0.6420
Epoch [30/100], Step[129/526], Loss: 0.5903
Epoch [30/100], Step[130/526], Loss: 0.5917
Epoch [30/100], Step[131/526], Loss: 0.6790
Epoch [30/100], Step[132/526], Loss: 0.7226
Epoch [30/100], Step[133/526], Loss: 0.6768
Epoch [30/100], Step[134/526], Loss: 0.6287
Epoch [30/100], Step[135/526], Loss: 0.6459
Epoch [30/100], Step[136/526], Loss: 0.5659
Epoch [30/100], Step[137/526], Loss: 0.6481
Epoch [30/100], Step[138/526], Loss: 0.6515
Epoch [30/100], Step[139/526], Loss: 0.7172
Epoch [30/100], Step[140/526], Loss: 0.5874
Epoch [30/100], Step[141/526], Loss: 0.6811
Epoch [30/100], Step[142/526], Loss: 0.6610
Epoch [30/100], Step[143/526], Loss: 0.6917
Epoch [30/100], Step[144/526], Loss: 0.7909
Epoch [30/100], Step[145/526], Loss: 0.5776
Epoch [30/100], Step[146/526], Loss: 0.5057
Epoch [30/100], Step[147/526], Loss: 0.4526
Epoch [30/100], Step[148/526], Loss: 0.5921
Epoch [30/100], Step[149/526], Loss: 0.4940
Epoch [30/100], Step[150/526], Loss: 0.5968
Epoch [30/100], Step[151/526], Loss: 0.5465
Epoch [30/100], Step[152/526], Loss: 0.6237
Epoch [30/100], Step[153/526], Loss: 0.6269
Epoch [30/100], Step[154/526], Loss: 0.7348
Epoch [30/100], Step[155/526], Loss: 0.7273
Epoch [30/100], Step[156/526], Loss: 0.5136
Epoch [30/100], Step[157/526], Loss: 0.2598
Epoch [30/100], Step[158/526], Loss: 0.6018
Epoch [30/100], Step[159/526], Loss: 0.6680
Epoch [30/100], Step[160/526], Loss: 0.5442
Epoch [30/100], Step[161/526], Loss: 1.0144
Epoch [30/100], Step[162/526], Loss: 0.6883
Epoch [30/100], Step[163/526], Loss: 0.7202
Epoch [30/100], Step[164/526], Loss: 0.6187
Epoch [30/100], Step[165/526], Loss: 0.7241
Epoch [30/100], Step[166/526], Loss: 0.4942
Epoch [30/100], Step[167/526], Loss: 0.5250
Epoch [30/100], Step[168/526], Loss: 0.6847
Epoch [30/100], Step[169/526], Loss: 0.7562
Epoch [30/100], Step[170/526], Loss: 0.7003
Epoch [30/100], Step[171/526], Loss: 0.7251
Epoch [30/100], Step[172/526], Loss: 0.7228
Epoch [30/100], Step[173/526], Loss: 0.8125
Epoch [30/100], Step[174/526], Loss: 0.6276
Epoch [30/100], Step[175/526], Loss: 0.6569
Epoch [30/100], Step[176/526], Loss: 0.6349
Epoch [30/100], Step[177/526], Loss: 0.6552
Epoch [30/100], Step[178/526], Loss: 0.7017
Epoch [30/100], Step[179/526], Loss: 0.6360
Epoch [30/100], Step[180/526], Loss: 0.6782
Epoch [30/100], Step[181/526], Loss: 0.6396
Epoch [30/100], Step[182/526], Loss: 0.6836
Epoch [30/100], Step[183/526], Loss: 0.5296
Epoch [30/100], Step[184/526], Loss: 0.5957
Epoch [30/100], Step[185/526], Loss: 0.5866
Epoch [30/100], Step[186/526], Loss: 0.6656
Epoch [30/100], Step[187/526], Loss: 0.7562
Epoch [30/100], Step[188/526], Loss: 0.7058
Epoch [30/100], Step[189/526], Loss: 0.6810
Epoch [30/100], Step[190/526], Loss: 0.6073
Epoch [30/100], Step[191/526], Loss: 0.7191
Epoch [30/100], Step[192/526], Loss: 0.7740
Epoch [30/100], Step[193/526], Loss: 0.6533
Epoch [30/100], Step[194/526], Loss: 0.6136
Epoch [30/100], Step[195/526], Loss: 0.6517
Epoch [30/100], Step[196/526], Loss: 0.7333
Epoch [30/100], Step[197/526], Loss: 0.6832
Epoch [30/100], Step[198/526], Loss: 0.6346
Epoch [30/100], Step[199/526], Loss: 0.7257
Epoch [30/100], Step[200/526], Loss: 0.6688
Epoch [30/100], Step[201/526], Loss: 0.6755
Epoch [30/100], Step[202/526], Loss: 0.7458
Epoch [30/100], Step[203/526], Loss: 0.7046
Epoch [30/100], Step[204/526], Loss: 0.7296
Epoch [30/100], Step[205/526], Loss: 0.7013
Epoch [30/100], Step[206/526], Loss: 0.6822
Epoch [30/100], Step[207/526], Loss: 0.7077
Epoch [30/100], Step[208/526], Loss: 0.6834
Epoch [30/100], Step[209/526], Loss: 0.6807
Epoch [30/100], Step[210/526], Loss: 0.7611
Epoch [30/100], Step[211/526], Loss: 0.6340
Epoch [30/100], Step[212/526], Loss: 0.6871
Epoch [30/100], Step[213/526], Loss: 0.7198
Epoch [30/100], Step[214/526], Loss: 0.7432
Epoch [30/100], Step[215/526], Loss: 0.6915
Epoch [30/100], Step[216/526], Loss: 0.6798
Epoch [30/100], Step[217/526], Loss: 0.6741
Epoch [30/100], Step[218/526], Loss: 0.6972
Epoch [30/100], Step[219/526], Loss: 0.6955
Epoch [30/100], Step[220/526], Loss: 0.7241
Epoch [30/100], Step[221/526], Loss: 0.6943
Epoch [30/100], Step[222/526], Loss: 0.7365
Epoch [30/100], Step[223/526], Loss: 0.6791
Epoch [30/100], Step[224/526], Loss: 0.6858
Epoch [30/100], Step[225/526], Loss: 0.7201
Epoch [30/100], Step[226/526], Loss: 0.6813
Epoch [30/100], Step[227/526], Loss: 0.6752
Epoch [30/100], Step[228/526], Loss: 0.6682
Epoch [30/100], Step[229/526], Loss: 0.6879
Epoch [30/100], Step[230/526], Loss: 0.6636
Epoch [30/100], Step[231/526], Loss: 0.6682
Epoch [30/100], Step[232/526], Loss: 0.7078
Epoch [30/100], Step[233/526], Loss: 0.6868
Epoch [30/100], Step[234/526], Loss: 0.6811
Epoch [30/100], Step[235/526], Loss: 0.7033
Epoch [30/100], Step[236/526], Loss: 0.6906
Epoch [30/100], Step[237/526], Loss: 0.7175
Epoch [30/100], Step[238/526], Loss: 0.6899
Epoch [30/100], Step[239/526], Loss: 0.6725
Epoch [30/100], Step[240/526], Loss: 0.7239
Epoch [30/100], Step[241/526], Loss: 0.6990
Epoch [30/100], Step[242/526], Loss: 0.7081
Epoch [30/100], Step[243/526], Loss: 0.6197
Epoch [30/100], Step[244/526], Loss: 0.6511
Epoch [30/100], Step[245/526], Loss: 0.6443
Epoch [30/100], Step[246/526], Loss: 0.6641
Epoch [30/100], Step[247/526], Loss: 0.6265
Epoch [30/100], Step[248/526], Loss: 0.6571
Epoch [30/100], Step[249/526], Loss: 0.6661
Epoch [30/100], Step[250/526], Loss: 0.6795
Epoch [30/100], Step[251/526], Loss: 0.7001
Epoch [30/100], Step[252/526], Loss: 0.6920
Epoch [30/100], Step[253/526], Loss: 0.6519
Epoch [30/100], Step[254/526], Loss: 0.6807
Epoch [30/100], Step[255/526], Loss: 0.6096
Epoch [30/100], Step[256/526], Loss: 0.6890
Epoch [30/100], Step[257/526], Loss: 0.6663
Epoch [30/100], Step[258/526], Loss: 0.6340
Epoch [30/100], Step[259/526], Loss: 0.6871
Epoch [30/100], Step[260/526], Loss: 0.7372
Epoch [30/100], Step[261/526], Loss: 0.7500
Epoch [30/100], Step[262/526], Loss: 0.6826
Epoch [30/100], Step[263/526], Loss: 0.6629
Epoch [30/100], Step[264/526], Loss: 0.6491
Epoch [30/100], Step[265/526], Loss: 0.6341
Epoch [30/100], Step[266/526], Loss: 0.6322
Epoch [30/100], Step[267/526], Loss: 0.5013
Epoch [30/100], Step[268/526], Loss: 0.5467
Epoch [30/100], Step[269/526], Loss: 0.4586
Epoch [30/100], Step[270/526], Loss: 0.3949
Epoch [30/100], Step[271/526], Loss: 0.5189
Epoch [30/100], Step[272/526], Loss: 0.5385
Epoch [30/100], Step[273/526], Loss: 0.6302
Epoch [30/100], Step[274/526], Loss: 0.4415
Epoch [30/100], Step[275/526], Loss: 0.4241
Epoch [30/100], Step[276/526], Loss: 0.4712
Epoch [30/100], Step[277/526], Loss: 0.4360
Epoch [30/100], Step[278/526], Loss: 0.4580
Epoch [30/100], Step[279/526], Loss: 0.4065
Epoch [30/100], Step[280/526], Loss: 0.4502
Epoch [30/100], Step[281/526], Loss: 0.6217
Epoch [30/100], Step[282/526], Loss: 0.3630
Epoch [30/100], Step[283/526], Loss: 0.3643
Epoch [30/100], Step[284/526], Loss: 0.3995
Epoch [30/100], Step[285/526], Loss: 0.2802
Epoch [30/100], Step[286/526], Loss: 0.6940
Epoch [30/100], Step[287/526], Loss: 0.4821
Epoch [30/100], Step[288/526], Loss: 0.4357
Epoch [30/100], Step[289/526], Loss: 0.6130
Epoch [30/100], Step[290/526], Loss: 0.4274
Epoch [30/100], Step[291/526], Loss: 0.4855
Epoch [30/100], Step[292/526], Loss: 0.2575
Epoch [30/100], Step[293/526], Loss: 0.3118
Epoch [30/100], Step[294/526], Loss: 0.3282
Epoch [30/100], Step[295/526], Loss: 0.4233
Epoch [30/100], Step[296/526], Loss: 0.6136
Epoch [30/100], Step[297/526], Loss: 0.2879
Epoch [30/100], Step[298/526], Loss: 0.2935
Epoch [30/100], Step[299/526], Loss: 0.2492
Epoch [30/100], Step[300/526], Loss: 0.3082
Epoch [30/100], Step[301/526], Loss: 0.6032
Epoch [30/100], Step[302/526], Loss: 0.3188
Epoch [30/100], Step[303/526], Loss: 0.4797
Epoch [30/100], Step[304/526], Loss: 0.2571
Epoch [30/100], Step[305/526], Loss: 0.2615
Epoch [30/100], Step[306/526], Loss: 0.5716
Epoch [30/100], Step[307/526], Loss: 0.8757
Epoch [30/100], Step[308/526], Loss: 1.2984
Epoch [30/100], Step[309/526], Loss: 0.8494
Epoch [30/100], Step[310/526], Loss: 0.9579
Epoch [30/100], Step[311/526], Loss: 0.8393
Epoch [30/100], Step[312/526], Loss: 0.4976
Epoch [30/100], Step[313/526], Loss: 0.4849
Epoch [30/100], Step[314/526], Loss: 0.6568
Epoch [30/100], Step[315/526], Loss: 0.7015
Epoch [30/100], Step[316/526], Loss: 0.4937
Epoch [30/100], Step[317/526], Loss: 0.3224
Epoch [30/100], Step[318/526], Loss: 0.7558
Epoch [30/100], Step[319/526], Loss: 0.3547
Epoch [30/100], Step[320/526], Loss: 0.5957
Epoch [30/100], Step[321/526], Loss: 0.7109
Epoch [30/100], Step[322/526], Loss: 0.2649
Epoch [30/100], Step[323/526], Loss: 0.6093
Epoch [30/100], Step[324/526], Loss: 0.6604
Epoch [30/100], Step[325/526], Loss: 0.5730
Epoch [30/100], Step[326/526], Loss: 0.7789
Epoch [30/100], Step[327/526], Loss: 0.7334
Epoch [30/100], Step[328/526], Loss: 0.9164
Epoch [30/100], Step[329/526], Loss: 1.2582
Epoch [30/100], Step[330/526], Loss: 1.0307
Epoch [30/100], Step[331/526], Loss: 0.8002
Epoch [30/100], Step[332/526], Loss: 0.8507
Epoch [30/100], Step[333/526], Loss: 0.7805
Epoch [30/100], Step[334/526], Loss: 0.7821
Epoch [30/100], Step[335/526], Loss: 0.7921
Epoch [30/100], Step[336/526], Loss: 0.7043
Epoch [30/100], Step[337/526], Loss: 0.6011
Epoch [30/100], Step[338/526], Loss: 0.7041
Epoch [30/100], Step[339/526], Loss: 0.6457
Epoch [30/100], Step[340/526], Loss: 0.7261
Epoch [30/100], Step[341/526], Loss: 0.7835
Epoch [30/100], Step[342/526], Loss: 0.7892
Epoch [30/100], Step[343/526], Loss: 0.5480
Epoch [30/100], Step[344/526], Loss: 0.7335
Epoch [30/100], Step[345/526], Loss: 0.6525
Epoch [30/100], Step[346/526], Loss: 0.6834
Epoch [30/100], Step[347/526], Loss: 0.7039
Epoch [30/100], Step[348/526], Loss: 0.6364
Epoch [30/100], Step[349/526], Loss: 0.5920
Epoch [30/100], Step[350/526], Loss: 0.6723
Epoch [30/100], Step[351/526], Loss: 0.7156
Epoch [30/100], Step[352/526], Loss: 0.6213
Epoch [30/100], Step[353/526], Loss: 0.6836
Epoch [30/100], Step[354/526], Loss: 0.6736
Epoch [30/100], Step[355/526], Loss: 0.6727
Epoch [30/100], Step[356/526], Loss: 0.6992
Epoch [30/100], Step[357/526], Loss: 0.6580
Epoch [30/100], Step[358/526], Loss: 0.6988
Epoch [30/100], Step[359/526], Loss: 0.6541
Epoch [30/100], Step[360/526], Loss: 0.6690
Epoch [30/100], Step[361/526], Loss: 0.7189
Epoch [30/100], Step[362/526], Loss: 0.7022
Epoch [30/100], Step[363/526], Loss: 0.6936
Epoch [30/100], Step[364/526], Loss: 0.7156
Epoch [30/100], Step[365/526], Loss: 0.7132
Epoch [30/100], Step[366/526], Loss: 0.6879
Epoch [30/100], Step[367/526], Loss: 0.6890
Epoch [30/100], Step[368/526], Loss: 0.6545
Epoch [30/100], Step[369/526], Loss: 0.6631
Epoch [30/100], Step[370/526], Loss: 0.6231
Epoch [30/100], Step[371/526], Loss: 0.7302
Epoch [30/100], Step[372/526], Loss: 0.6498
Epoch [30/100], Step[373/526], Loss: 0.6774
Epoch [30/100], Step[374/526], Loss: 0.7004
Epoch [30/100], Step[375/526], Loss: 0.6485
Epoch [30/100], Step[376/526], Loss: 0.6398
Epoch [30/100], Step[377/526], Loss: 0.6871
Epoch [30/100], Step[378/526], Loss: 0.6919
Epoch [30/100], Step[379/526], Loss: 0.7346
Epoch [30/100], Step[380/526], Loss: 0.6151
Epoch [30/100], Step[381/526], Loss: 0.6098
Epoch [30/100], Step[382/526], Loss: 0.6772
Epoch [30/100], Step[383/526], Loss: 0.6958
Epoch [30/100], Step[384/526], Loss: 0.6370
Epoch [30/100], Step[385/526], Loss: 0.6334
Epoch [30/100], Step[386/526], Loss: 0.6604
Epoch [30/100], Step[387/526], Loss: 0.6583
Epoch [30/100], Step[388/526], Loss: 0.6017
Epoch [30/100], Step[389/526], Loss: 0.7246
Epoch [30/100], Step[390/526], Loss: 0.5893
Epoch [30/100], Step[391/526], Loss: 0.6573
Epoch [30/100], Step[392/526], Loss: 0.7023
Epoch [30/100], Step[393/526], Loss: 0.5935
Epoch [30/100], Step[394/526], Loss: 0.5239
Epoch [30/100], Step[395/526], Loss: 0.6226
Epoch [30/100], Step[396/526], Loss: 0.6346
Epoch [30/100], Step[397/526], Loss: 0.4838
Epoch [30/100], Step[398/526], Loss: 0.6036
Epoch [30/100], Step[399/526], Loss: 0.6518
Epoch [30/100], Step[400/526], Loss: 0.4805
Epoch [30/100], Step[401/526], Loss: 0.5932
Epoch [30/100], Step[402/526], Loss: 0.6384
Epoch [30/100], Step[403/526], Loss: 0.7135
Epoch [30/100], Step[404/526], Loss: 0.4816
Epoch [30/100], Step[405/526], Loss: 0.5063
Epoch [30/100], Step[406/526], Loss: 0.6290
Epoch [30/100], Step[407/526], Loss: 0.7503
Epoch [30/100], Step[408/526], Loss: 0.6514
Epoch [30/100], Step[409/526], Loss: 0.4635
Epoch [30/100], Step[410/526], Loss: 0.4928
Epoch [30/100], Step[411/526], Loss: 0.5354
Epoch [30/100], Step[412/526], Loss: 0.5896
Epoch [30/100], Step[413/526], Loss: 0.5964
Epoch [30/100], Step[414/526], Loss: 0.6383
Epoch [30/100], Step[415/526], Loss: 0.6080
Epoch [30/100], Step[416/526], Loss: 0.5405
Epoch [30/100], Step[417/526], Loss: 0.4574
Epoch [30/100], Step[418/526], Loss: 0.7509
Epoch [30/100], Step[419/526], Loss: 0.6847
Epoch [30/100], Step[420/526], Loss: 0.6839
Epoch [30/100], Step[421/526], Loss: 0.6366
Epoch [30/100], Step[422/526], Loss: 0.7923
Epoch [30/100], Step[423/526], Loss: 0.7008
Epoch [30/100], Step[424/526], Loss: 0.7386
Epoch [30/100], Step[425/526], Loss: 0.7087
Epoch [30/100], Step[426/526], Loss: 0.7648
Epoch [30/100], Step[427/526], Loss: 0.6978
Epoch [30/100], Step[428/526], Loss: 0.7148
Epoch [30/100], Step[429/526], Loss: 0.7382
Epoch [30/100], Step[430/526], Loss: 0.7811
Epoch [30/100], Step[431/526], Loss: 0.7117
Epoch [30/100], Step[432/526], Loss: 0.7284
Epoch [30/100], Step[433/526], Loss: 0.6807
Epoch [30/100], Step[434/526], Loss: 0.6168
Epoch [30/100], Step[435/526], Loss: 0.7853
Epoch [30/100], Step[436/526], Loss: 0.8161
Epoch [30/100], Step[437/526], Loss: 0.5187
Epoch [30/100], Step[438/526], Loss: 0.3619
Epoch [30/100], Step[439/526], Loss: 0.7285
Epoch [30/100], Step[440/526], Loss: 0.6968
Epoch [30/100], Step[441/526], Loss: 0.6853
Epoch [30/100], Step[442/526], Loss: 0.6401
Epoch [30/100], Step[443/526], Loss: 0.6638
Epoch [30/100], Step[444/526], Loss: 0.7591
Epoch [30/100], Step[445/526], Loss: 0.7003
Epoch [30/100], Step[446/526], Loss: 0.7229
Epoch [30/100], Step[447/526], Loss: 0.7152
Epoch [30/100], Step[448/526], Loss: 0.7308
Epoch [30/100], Step[449/526], Loss: 0.6774
Epoch [30/100], Step[450/526], Loss: 0.6056
Epoch [30/100], Step[451/526], Loss: 0.6606
Epoch [30/100], Step[452/526], Loss: 0.7282
Epoch [30/100], Step[453/526], Loss: 0.7265
Epoch [30/100], Step[454/526], Loss: 0.8118
Epoch [30/100], Step[455/526], Loss: 0.6562
Epoch [30/100], Step[456/526], Loss: 0.6426
Epoch [30/100], Step[457/526], Loss: 0.7218
Epoch [30/100], Step[458/526], Loss: 0.6868
Epoch [30/100], Step[459/526], Loss: 0.6674
Epoch [30/100], Step[460/526], Loss: 0.6433
Epoch [30/100], Step[461/526], Loss: 0.6162
Epoch [30/100], Step[462/526], Loss: 0.6726
Epoch [30/100], Step[463/526], Loss: 0.6540
Epoch [30/100], Step[464/526], Loss: 0.6482
Epoch [30/100], Step[465/526], Loss: 0.6624
Epoch [30/100], Step[466/526], Loss: 0.6625
Epoch [30/100], Step[467/526], Loss: 0.6488
Epoch [30/100], Step[468/526], Loss: 0.6272
Epoch [30/100], Step[469/526], Loss: 0.8035
Epoch [30/100], Step[470/526], Loss: 0.6595
Epoch [30/100], Step[471/526], Loss: 0.6952
Epoch [30/100], Step[472/526], Loss: 0.6719
Epoch [30/100], Step[473/526], Loss: 0.6786
Epoch [30/100], Step[474/526], Loss: 0.6755
Epoch [30/100], Step[475/526], Loss: 0.8219
Epoch [30/100], Step[476/526], Loss: 0.7549
Epoch [30/100], Step[477/526], Loss: 0.7039
Epoch [30/100], Step[478/526], Loss: 0.6980
Epoch [30/100], Step[479/526], Loss: 0.6655
Epoch [30/100], Step[480/526], Loss: 0.7394
Epoch [30/100], Step[481/526], Loss: 0.7179
Epoch [30/100], Step[482/526], Loss: 0.6197
Epoch [30/100], Step[483/526], Loss: 0.5529
Epoch [30/100], Step[484/526], Loss: 0.6962
Epoch [30/100], Step[485/526], Loss: 0.7839
Epoch [30/100], Step[486/526], Loss: 0.7218
Epoch [30/100], Step[487/526], Loss: 0.7515
Epoch [30/100], Step[488/526], Loss: 0.6949
Epoch [30/100], Step[489/526], Loss: 0.6351
Epoch [30/100], Step[490/526], Loss: 0.6156
Epoch [30/100], Step[491/526], Loss: 0.6984
Epoch [30/100], Step[492/526], Loss: 0.6508
Epoch [30/100], Step[493/526], Loss: 0.6473
Epoch [30/100], Step[494/526], Loss: 0.6609
Epoch [30/100], Step[495/526], Loss: 0.6889
Epoch [30/100], Step[496/526], Loss: 0.6663
Epoch [30/100], Step[497/526], Loss: 0.6387
Epoch [30/100], Step[498/526], Loss: 0.6768
Epoch [30/100], Step[499/526], Loss: 0.6733
Epoch [30/100], Step[500/526], Loss: 0.6770
Epoch [30/100], Step[501/526], Loss: 0.6558
Epoch [30/100], Step[502/526], Loss: 0.6975
Epoch [30/100], Step[503/526], Loss: 0.7103
Epoch [30/100], Step[504/526], Loss: 0.6985
Epoch [30/100], Step[505/526], Loss: 0.7083
Epoch [30/100], Step[506/526], Loss: 0.6834
Epoch [30/100], Step[507/526], Loss: 0.6736
Epoch [30/100], Step[508/526], Loss: 0.7024
Epoch [30/100], Step[509/526], Loss: 0.6559
Epoch [30/100], Step[510/526], Loss: 0.7024
Epoch [30/100], Step[511/526], Loss: 0.6437
Epoch [30/100], Step[512/526], Loss: 0.6746
Epoch [30/100], Step[513/526], Loss: 0.6457
Epoch [30/100], Step[514/526], Loss: 0.6561
Epoch [30/100], Step[515/526], Loss: 0.5790
Epoch [30/100], Step[516/526], Loss: 0.7513
Epoch [30/100], Step[517/526], Loss: 0.6879
Epoch [30/100], Step[518/526], Loss: 0.7345
Epoch [30/100], Step[519/526], Loss: 0.7129
Epoch [30/100], Step[520/526], Loss: 0.6855
Epoch [30/100], Step[521/526], Loss: 0.6695
Epoch [30/100], Step[522/526], Loss: 0.6082
Epoch [30/100], Step[523/526], Loss: 0.6474
Epoch [30/100], Step[524/526], Loss: 0.6475
Epoch [30/100], Step[525/526], Loss: 0.7419
Epoch [30/100], Step[526/526], Loss: 0.7027
Epoch [31/100], Step[1/526], Loss: 0.6572
Epoch [31/100], Step[2/526], Loss: 0.6449
Epoch [31/100], Step[3/526], Loss: 0.6762
Epoch [31/100], Step[4/526], Loss: 0.6339
Epoch [31/100], Step[5/526], Loss: 0.7368
Epoch [31/100], Step[6/526], Loss: 0.7422
Epoch [31/100], Step[7/526], Loss: 0.6968
Epoch [31/100], Step[8/526], Loss: 0.6818
Epoch [31/100], Step[9/526], Loss: 0.7084
Epoch [31/100], Step[10/526], Loss: 0.6777
Epoch [31/100], Step[11/526], Loss: 0.6666
Epoch [31/100], Step[12/526], Loss: 0.7187
Epoch [31/100], Step[13/526], Loss: 0.6355
Epoch [31/100], Step[14/526], Loss: 0.6593
Epoch [31/100], Step[15/526], Loss: 0.6871
Epoch [31/100], Step[16/526], Loss: 0.7035
Epoch [31/100], Step[17/526], Loss: 0.7027
Epoch [31/100], Step[18/526], Loss: 0.6823
Epoch [31/100], Step[19/526], Loss: 0.6731
Epoch [31/100], Step[20/526], Loss: 0.7102
Epoch [31/100], Step[21/526], Loss: 0.7502
Epoch [31/100], Step[22/526], Loss: 0.7307
Epoch [31/100], Step[23/526], Loss: 0.7367
Epoch [31/100], Step[24/526], Loss: 0.7129
Epoch [31/100], Step[25/526], Loss: 0.6928
Epoch [31/100], Step[26/526], Loss: 0.6395
Epoch [31/100], Step[27/526], Loss: 0.6872
Epoch [31/100], Step[28/526], Loss: 0.6889
Epoch [31/100], Step[29/526], Loss: 0.6647
Epoch [31/100], Step[30/526], Loss: 0.6924
Epoch [31/100], Step[31/526], Loss: 0.7029
Epoch [31/100], Step[32/526], Loss: 0.6692
Epoch [31/100], Step[33/526], Loss: 0.7092
Epoch [31/100], Step[34/526], Loss: 0.6915
Epoch [31/100], Step[35/526], Loss: 0.7098
Epoch [31/100], Step[36/526], Loss: 0.6966
Epoch [31/100], Step[37/526], Loss: 0.6937
Epoch [31/100], Step[38/526], Loss: 0.7079
Epoch [31/100], Step[39/526], Loss: 0.6982
Epoch [31/100], Step[40/526], Loss: 0.7236
Epoch [31/100], Step[41/526], Loss: 0.6557
Epoch [31/100], Step[42/526], Loss: 0.7276
Epoch [31/100], Step[43/526], Loss: 0.7184
Epoch [31/100], Step[44/526], Loss: 0.6844
Epoch [31/100], Step[45/526], Loss: 0.6864
Epoch [31/100], Step[46/526], Loss: 0.6892
Epoch [31/100], Step[47/526], Loss: 0.7086
Epoch [31/100], Step[48/526], Loss: 0.7250
Epoch [31/100], Step[49/526], Loss: 0.7065
Epoch [31/100], Step[50/526], Loss: 0.7151
Epoch [31/100], Step[51/526], Loss: 0.6960
Epoch [31/100], Step[52/526], Loss: 0.6757
Epoch [31/100], Step[53/526], Loss: 0.7190
Epoch [31/100], Step[54/526], Loss: 0.7006
Epoch [31/100], Step[55/526], Loss: 0.6889
Epoch [31/100], Step[56/526], Loss: 0.7005
Epoch [31/100], Step[57/526], Loss: 0.6843
Epoch [31/100], Step[58/526], Loss: 0.6755
Epoch [31/100], Step[59/526], Loss: 0.6621
Epoch [31/100], Step[60/526], Loss: 0.6695
Epoch [31/100], Step[61/526], Loss: 0.6469
Epoch [31/100], Step[62/526], Loss: 0.6959
Epoch [31/100], Step[63/526], Loss: 0.6848
Epoch [31/100], Step[64/526], Loss: 0.6811
Epoch [31/100], Step[65/526], Loss: 0.7228
Epoch [31/100], Step[66/526], Loss: 0.6842
Epoch [31/100], Step[67/526], Loss: 0.6637
Epoch [31/100], Step[68/526], Loss: 0.6519
Epoch [31/100], Step[69/526], Loss: 0.6979
Epoch [31/100], Step[70/526], Loss: 0.6845
Epoch [31/100], Step[71/526], Loss: 0.6640
Epoch [31/100], Step[72/526], Loss: 0.6796
Epoch [31/100], Step[73/526], Loss: 0.7113
Epoch [31/100], Step[74/526], Loss: 0.6646
Epoch [31/100], Step[75/526], Loss: 0.7061
Epoch [31/100], Step[76/526], Loss: 0.6922
Epoch [31/100], Step[77/526], Loss: 0.6926
Epoch [31/100], Step[78/526], Loss: 0.7081
Epoch [31/100], Step[79/526], Loss: 0.6939
Epoch [31/100], Step[80/526], Loss: 0.6933
Epoch [31/100], Step[81/526], Loss: 0.7043
Epoch [31/100], Step[82/526], Loss: 0.7292
Epoch [31/100], Step[83/526], Loss: 0.7087
Epoch [31/100], Step[84/526], Loss: 0.6975
Epoch [31/100], Step[85/526], Loss: 0.6640
Epoch [31/100], Step[86/526], Loss: 0.7078
Epoch [31/100], Step[87/526], Loss: 0.6799
Epoch [31/100], Step[88/526], Loss: 0.6896
Epoch [31/100], Step[89/526], Loss: 0.7209
Epoch [31/100], Step[90/526], Loss: 0.6856
Epoch [31/100], Step[91/526], Loss: 0.6797
Epoch [31/100], Step[92/526], Loss: 0.6785
Epoch [31/100], Step[93/526], Loss: 0.6859
Epoch [31/100], Step[94/526], Loss: 0.8032
Epoch [31/100], Step[95/526], Loss: 0.7166
Epoch [31/100], Step[96/526], Loss: 0.6286
Epoch [31/100], Step[97/526], Loss: 0.5962
Epoch [31/100], Step[98/526], Loss: 0.6944
Epoch [31/100], Step[99/526], Loss: 0.6880
Epoch [31/100], Step[100/526], Loss: 0.6696
Epoch [31/100], Step[101/526], Loss: 0.6578
Epoch [31/100], Step[102/526], Loss: 0.6285
Epoch [31/100], Step[103/526], Loss: 0.6947
Epoch [31/100], Step[104/526], Loss: 0.6445
Epoch [31/100], Step[105/526], Loss: 0.6389
Epoch [31/100], Step[106/526], Loss: 0.6892
Epoch [31/100], Step[107/526], Loss: 0.6409
Epoch [31/100], Step[108/526], Loss: 0.5824
Epoch [31/100], Step[109/526], Loss: 0.6754
Epoch [31/100], Step[110/526], Loss: 0.6885
Epoch [31/100], Step[111/526], Loss: 0.5904
Epoch [31/100], Step[112/526], Loss: 0.7363
Epoch [31/100], Step[113/526], Loss: 0.6070
Epoch [31/100], Step[114/526], Loss: 0.6594
Epoch [31/100], Step[115/526], Loss: 0.6063
Epoch [31/100], Step[116/526], Loss: 0.6244
Epoch [31/100], Step[117/526], Loss: 0.6573
Epoch [31/100], Step[118/526], Loss: 0.7512
Epoch [31/100], Step[119/526], Loss: 0.6760
Epoch [31/100], Step[120/526], Loss: 0.6767
Epoch [31/100], Step[121/526], Loss: 0.6949
Epoch [31/100], Step[122/526], Loss: 0.6296
Epoch [31/100], Step[123/526], Loss: 0.6482
Epoch [31/100], Step[124/526], Loss: 0.6736
Epoch [31/100], Step[125/526], Loss: 0.6371
Epoch [31/100], Step[126/526], Loss: 0.7168
Epoch [31/100], Step[127/526], Loss: 0.6725
Epoch [31/100], Step[128/526], Loss: 0.6449
Epoch [31/100], Step[129/526], Loss: 0.5949
Epoch [31/100], Step[130/526], Loss: 0.6085
Epoch [31/100], Step[131/526], Loss: 0.6730
Epoch [31/100], Step[132/526], Loss: 0.7210
Epoch [31/100], Step[133/526], Loss: 0.6753
Epoch [31/100], Step[134/526], Loss: 0.6287
Epoch [31/100], Step[135/526], Loss: 0.6464
Epoch [31/100], Step[136/526], Loss: 0.5711
Epoch [31/100], Step[137/526], Loss: 0.6396
Epoch [31/100], Step[138/526], Loss: 0.6503
Epoch [31/100], Step[139/526], Loss: 0.7074
Epoch [31/100], Step[140/526], Loss: 0.5930
Epoch [31/100], Step[141/526], Loss: 0.6865
Epoch [31/100], Step[142/526], Loss: 0.6654
Epoch [31/100], Step[143/526], Loss: 0.6877
Epoch [31/100], Step[144/526], Loss: 0.7796
Epoch [31/100], Step[145/526], Loss: 0.5519
Epoch [31/100], Step[146/526], Loss: 0.5124
Epoch [31/100], Step[147/526], Loss: 0.4616
Epoch [31/100], Step[148/526], Loss: 0.5937
Epoch [31/100], Step[149/526], Loss: 0.4985
Epoch [31/100], Step[150/526], Loss: 0.6078
Epoch [31/100], Step[151/526], Loss: 0.5608
Epoch [31/100], Step[152/526], Loss: 0.6241
Epoch [31/100], Step[153/526], Loss: 0.6307
Epoch [31/100], Step[154/526], Loss: 0.7292
Epoch [31/100], Step[155/526], Loss: 0.7262
Epoch [31/100], Step[156/526], Loss: 0.5249
Epoch [31/100], Step[157/526], Loss: 0.2709
Epoch [31/100], Step[158/526], Loss: 0.6053
Epoch [31/100], Step[159/526], Loss: 0.6744
Epoch [31/100], Step[160/526], Loss: 0.5476
Epoch [31/100], Step[161/526], Loss: 0.9783
Epoch [31/100], Step[162/526], Loss: 0.6936
Epoch [31/100], Step[163/526], Loss: 0.7173
Epoch [31/100], Step[164/526], Loss: 0.6183
Epoch [31/100], Step[165/526], Loss: 0.7262
Epoch [31/100], Step[166/526], Loss: 0.5019
Epoch [31/100], Step[167/526], Loss: 0.5370
Epoch [31/100], Step[168/526], Loss: 0.6810
Epoch [31/100], Step[169/526], Loss: 0.7505
Epoch [31/100], Step[170/526], Loss: 0.6982
Epoch [31/100], Step[171/526], Loss: 0.7264
Epoch [31/100], Step[172/526], Loss: 0.7220
Epoch [31/100], Step[173/526], Loss: 0.8130
Epoch [31/100], Step[174/526], Loss: 0.6258
Epoch [31/100], Step[175/526], Loss: 0.6585
Epoch [31/100], Step[176/526], Loss: 0.6336
Epoch [31/100], Step[177/526], Loss: 0.6563
Epoch [31/100], Step[178/526], Loss: 0.6976
Epoch [31/100], Step[179/526], Loss: 0.6369
Epoch [31/100], Step[180/526], Loss: 0.6767
Epoch [31/100], Step[181/526], Loss: 0.6409
Epoch [31/100], Step[182/526], Loss: 0.6863
Epoch [31/100], Step[183/526], Loss: 0.5297
Epoch [31/100], Step[184/526], Loss: 0.5971
Epoch [31/100], Step[185/526], Loss: 0.5911
Epoch [31/100], Step[186/526], Loss: 0.6610
Epoch [31/100], Step[187/526], Loss: 0.7523
Epoch [31/100], Step[188/526], Loss: 0.7029
Epoch [31/100], Step[189/526], Loss: 0.6795
Epoch [31/100], Step[190/526], Loss: 0.6053
Epoch [31/100], Step[191/526], Loss: 0.7199
Epoch [31/100], Step[192/526], Loss: 0.7749
Epoch [31/100], Step[193/526], Loss: 0.6551
Epoch [31/100], Step[194/526], Loss: 0.6138
Epoch [31/100], Step[195/526], Loss: 0.6509
Epoch [31/100], Step[196/526], Loss: 0.7359
Epoch [31/100], Step[197/526], Loss: 0.6861
Epoch [31/100], Step[198/526], Loss: 0.6325
Epoch [31/100], Step[199/526], Loss: 0.7311
Epoch [31/100], Step[200/526], Loss: 0.6691
Epoch [31/100], Step[201/526], Loss: 0.6768
Epoch [31/100], Step[202/526], Loss: 0.7493
Epoch [31/100], Step[203/526], Loss: 0.7062
Epoch [31/100], Step[204/526], Loss: 0.7307
Epoch [31/100], Step[205/526], Loss: 0.7046
Epoch [31/100], Step[206/526], Loss: 0.6820
Epoch [31/100], Step[207/526], Loss: 0.7107
Epoch [31/100], Step[208/526], Loss: 0.6829
Epoch [31/100], Step[209/526], Loss: 0.6818
Epoch [31/100], Step[210/526], Loss: 0.7708
Epoch [31/100], Step[211/526], Loss: 0.6342
Epoch [31/100], Step[212/526], Loss: 0.6874
Epoch [31/100], Step[213/526], Loss: 0.7203
Epoch [31/100], Step[214/526], Loss: 0.7477
Epoch [31/100], Step[215/526], Loss: 0.6941
Epoch [31/100], Step[216/526], Loss: 0.6793
Epoch [31/100], Step[217/526], Loss: 0.6757
Epoch [31/100], Step[218/526], Loss: 0.6976
Epoch [31/100], Step[219/526], Loss: 0.6969
Epoch [31/100], Step[220/526], Loss: 0.7282
Epoch [31/100], Step[221/526], Loss: 0.6966
Epoch [31/100], Step[222/526], Loss: 0.7431
Epoch [31/100], Step[223/526], Loss: 0.6785
Epoch [31/100], Step[224/526], Loss: 0.6839
Epoch [31/100], Step[225/526], Loss: 0.7242
Epoch [31/100], Step[226/526], Loss: 0.6795
Epoch [31/100], Step[227/526], Loss: 0.6728
Epoch [31/100], Step[228/526], Loss: 0.6647
Epoch [31/100], Step[229/526], Loss: 0.6877
Epoch [31/100], Step[230/526], Loss: 0.6607
Epoch [31/100], Step[231/526], Loss: 0.6668
Epoch [31/100], Step[232/526], Loss: 0.7103
Epoch [31/100], Step[233/526], Loss: 0.6858
Epoch [31/100], Step[234/526], Loss: 0.6825
Epoch [31/100], Step[235/526], Loss: 0.7032
Epoch [31/100], Step[236/526], Loss: 0.6914
Epoch [31/100], Step[237/526], Loss: 0.7186
Epoch [31/100], Step[238/526], Loss: 0.6883
Epoch [31/100], Step[239/526], Loss: 0.6722
Epoch [31/100], Step[240/526], Loss: 0.7252
Epoch [31/100], Step[241/526], Loss: 0.6977
Epoch [31/100], Step[242/526], Loss: 0.7088
Epoch [31/100], Step[243/526], Loss: 0.6145
Epoch [31/100], Step[244/526], Loss: 0.6515
Epoch [31/100], Step[245/526], Loss: 0.6433
Epoch [31/100], Step[246/526], Loss: 0.6644
Epoch [31/100], Step[247/526], Loss: 0.6242
Epoch [31/100], Step[248/526], Loss: 0.6541
Epoch [31/100], Step[249/526], Loss: 0.6650
Epoch [31/100], Step[250/526], Loss: 0.6796
Epoch [31/100], Step[251/526], Loss: 0.7007
Epoch [31/100], Step[252/526], Loss: 0.6944
Epoch [31/100], Step[253/526], Loss: 0.6313
Epoch [31/100], Step[254/526], Loss: 0.6640
Epoch [31/100], Step[255/526], Loss: 0.6042
Epoch [31/100], Step[256/526], Loss: 0.6878
Epoch [31/100], Step[257/526], Loss: 0.6554
Epoch [31/100], Step[258/526], Loss: 0.6346
Epoch [31/100], Step[259/526], Loss: 0.6857
Epoch [31/100], Step[260/526], Loss: 0.7357
Epoch [31/100], Step[261/526], Loss: 0.7493
Epoch [31/100], Step[262/526], Loss: 0.6809
Epoch [31/100], Step[263/526], Loss: 0.6641
Epoch [31/100], Step[264/526], Loss: 0.6476
Epoch [31/100], Step[265/526], Loss: 0.6386
Epoch [31/100], Step[266/526], Loss: 0.6352
Epoch [31/100], Step[267/526], Loss: 0.5004
Epoch [31/100], Step[268/526], Loss: 0.5500
Epoch [31/100], Step[269/526], Loss: 0.4619
Epoch [31/100], Step[270/526], Loss: 0.3977
Epoch [31/100], Step[271/526], Loss: 0.5205
Epoch [31/100], Step[272/526], Loss: 0.5367
Epoch [31/100], Step[273/526], Loss: 0.6290
Epoch [31/100], Step[274/526], Loss: 0.4472
Epoch [31/100], Step[275/526], Loss: 0.4213
Epoch [31/100], Step[276/526], Loss: 0.4734
Epoch [31/100], Step[277/526], Loss: 0.4372
Epoch [31/100], Step[278/526], Loss: 0.4610
Epoch [31/100], Step[279/526], Loss: 0.4104
Epoch [31/100], Step[280/526], Loss: 0.4511
Epoch [31/100], Step[281/526], Loss: 0.6218
Epoch [31/100], Step[282/526], Loss: 0.3634
Epoch [31/100], Step[283/526], Loss: 0.3646
Epoch [31/100], Step[284/526], Loss: 0.4013
Epoch [31/100], Step[285/526], Loss: 0.2884
Epoch [31/100], Step[286/526], Loss: 0.6953
Epoch [31/100], Step[287/526], Loss: 0.4816
Epoch [31/100], Step[288/526], Loss: 0.4349
Epoch [31/100], Step[289/526], Loss: 0.6131
Epoch [31/100], Step[290/526], Loss: 0.4268
Epoch [31/100], Step[291/526], Loss: 0.4858
Epoch [31/100], Step[292/526], Loss: 0.2592
Epoch [31/100], Step[293/526], Loss: 0.3105
Epoch [31/100], Step[294/526], Loss: 0.3288
Epoch [31/100], Step[295/526], Loss: 0.4259
Epoch [31/100], Step[296/526], Loss: 0.6166
Epoch [31/100], Step[297/526], Loss: 0.2905
Epoch [31/100], Step[298/526], Loss: 0.2933
Epoch [31/100], Step[299/526], Loss: 0.2454
Epoch [31/100], Step[300/526], Loss: 0.3046
Epoch [31/100], Step[301/526], Loss: 0.6057
Epoch [31/100], Step[302/526], Loss: 0.3210
Epoch [31/100], Step[303/526], Loss: 0.4776
Epoch [31/100], Step[304/526], Loss: 0.2566
Epoch [31/100], Step[305/526], Loss: 0.2619
Epoch [31/100], Step[306/526], Loss: 0.5732
Epoch [31/100], Step[307/526], Loss: 0.8821
Epoch [31/100], Step[308/526], Loss: 1.3015
Epoch [31/100], Step[309/526], Loss: 0.8506
Epoch [31/100], Step[310/526], Loss: 0.9578
Epoch [31/100], Step[311/526], Loss: 0.8261
Epoch [31/100], Step[312/526], Loss: 0.4960
Epoch [31/100], Step[313/526], Loss: 0.4822
Epoch [31/100], Step[314/526], Loss: 0.6553
Epoch [31/100], Step[315/526], Loss: 0.7018
Epoch [31/100], Step[316/526], Loss: 0.4934
Epoch [31/100], Step[317/526], Loss: 0.3221
Epoch [31/100], Step[318/526], Loss: 0.7569
Epoch [31/100], Step[319/526], Loss: 0.3544
Epoch [31/100], Step[320/526], Loss: 0.5991
Epoch [31/100], Step[321/526], Loss: 0.7122
Epoch [31/100], Step[322/526], Loss: 0.2657
Epoch [31/100], Step[323/526], Loss: 0.6099
Epoch [31/100], Step[324/526], Loss: 0.6601
Epoch [31/100], Step[325/526], Loss: 0.5756
Epoch [31/100], Step[326/526], Loss: 0.7747
Epoch [31/100], Step[327/526], Loss: 0.7335
Epoch [31/100], Step[328/526], Loss: 0.9185
Epoch [31/100], Step[329/526], Loss: 1.2587
Epoch [31/100], Step[330/526], Loss: 1.0304
Epoch [31/100], Step[331/526], Loss: 0.7982
Epoch [31/100], Step[332/526], Loss: 0.8485
Epoch [31/100], Step[333/526], Loss: 0.7801
Epoch [31/100], Step[334/526], Loss: 0.7785
Epoch [31/100], Step[335/526], Loss: 0.7924
Epoch [31/100], Step[336/526], Loss: 0.7018
Epoch [31/100], Step[337/526], Loss: 0.5972
Epoch [31/100], Step[338/526], Loss: 0.7044
Epoch [31/100], Step[339/526], Loss: 0.6441
Epoch [31/100], Step[340/526], Loss: 0.7254
Epoch [31/100], Step[341/526], Loss: 0.7809
Epoch [31/100], Step[342/526], Loss: 0.7870
Epoch [31/100], Step[343/526], Loss: 0.5454
Epoch [31/100], Step[344/526], Loss: 0.7327
Epoch [31/100], Step[345/526], Loss: 0.6519
Epoch [31/100], Step[346/526], Loss: 0.6924
Epoch [31/100], Step[347/526], Loss: 0.7044
Epoch [31/100], Step[348/526], Loss: 0.6362
Epoch [31/100], Step[349/526], Loss: 0.5882
Epoch [31/100], Step[350/526], Loss: 0.6727
Epoch [31/100], Step[351/526], Loss: 0.7158
Epoch [31/100], Step[352/526], Loss: 0.6181
Epoch [31/100], Step[353/526], Loss: 0.6837
Epoch [31/100], Step[354/526], Loss: 0.6720
Epoch [31/100], Step[355/526], Loss: 0.6722
Epoch [31/100], Step[356/526], Loss: 0.7028
Epoch [31/100], Step[357/526], Loss: 0.6575
Epoch [31/100], Step[358/526], Loss: 0.6975
Epoch [31/100], Step[359/526], Loss: 0.6532
Epoch [31/100], Step[360/526], Loss: 0.6728
Epoch [31/100], Step[361/526], Loss: 0.7196
Epoch [31/100], Step[362/526], Loss: 0.7052
Epoch [31/100], Step[363/526], Loss: 0.6930
Epoch [31/100], Step[364/526], Loss: 0.7138
Epoch [31/100], Step[365/526], Loss: 0.7134
Epoch [31/100], Step[366/526], Loss: 0.6875
Epoch [31/100], Step[367/526], Loss: 0.6883
Epoch [31/100], Step[368/526], Loss: 0.6529
Epoch [31/100], Step[369/526], Loss: 0.6592
Epoch [31/100], Step[370/526], Loss: 0.6316
Epoch [31/100], Step[371/526], Loss: 0.7355
Epoch [31/100], Step[372/526], Loss: 0.6436
Epoch [31/100], Step[373/526], Loss: 0.6765
Epoch [31/100], Step[374/526], Loss: 0.7002
Epoch [31/100], Step[375/526], Loss: 0.6487
Epoch [31/100], Step[376/526], Loss: 0.6488
Epoch [31/100], Step[377/526], Loss: 0.6852
Epoch [31/100], Step[378/526], Loss: 0.6946
Epoch [31/100], Step[379/526], Loss: 0.7428
Epoch [31/100], Step[380/526], Loss: 0.6137
Epoch [31/100], Step[381/526], Loss: 0.6002
Epoch [31/100], Step[382/526], Loss: 0.6718
Epoch [31/100], Step[383/526], Loss: 0.6892
Epoch [31/100], Step[384/526], Loss: 0.6330
Epoch [31/100], Step[385/526], Loss: 0.6364
Epoch [31/100], Step[386/526], Loss: 0.6594
Epoch [31/100], Step[387/526], Loss: 0.6609
Epoch [31/100], Step[388/526], Loss: 0.6005
Epoch [31/100], Step[389/526], Loss: 0.7194
Epoch [31/100], Step[390/526], Loss: 0.5940
Epoch [31/100], Step[391/526], Loss: 0.6535
Epoch [31/100], Step[392/526], Loss: 0.7007
Epoch [31/100], Step[393/526], Loss: 0.5894
Epoch [31/100], Step[394/526], Loss: 0.5212
Epoch [31/100], Step[395/526], Loss: 0.6271
Epoch [31/100], Step[396/526], Loss: 0.6306
Epoch [31/100], Step[397/526], Loss: 0.4808
Epoch [31/100], Step[398/526], Loss: 0.6040
Epoch [31/100], Step[399/526], Loss: 0.6532
Epoch [31/100], Step[400/526], Loss: 0.4781
Epoch [31/100], Step[401/526], Loss: 0.5940
Epoch [31/100], Step[402/526], Loss: 0.6392
Epoch [31/100], Step[403/526], Loss: 0.7162
Epoch [31/100], Step[404/526], Loss: 0.4814
Epoch [31/100], Step[405/526], Loss: 0.5056
Epoch [31/100], Step[406/526], Loss: 0.6284
Epoch [31/100], Step[407/526], Loss: 0.7499
Epoch [31/100], Step[408/526], Loss: 0.6514
Epoch [31/100], Step[409/526], Loss: 0.4659
Epoch [31/100], Step[410/526], Loss: 0.4933
Epoch [31/100], Step[411/526], Loss: 0.5366
Epoch [31/100], Step[412/526], Loss: 0.5898
Epoch [31/100], Step[413/526], Loss: 0.5974
Epoch [31/100], Step[414/526], Loss: 0.6401
Epoch [31/100], Step[415/526], Loss: 0.6066
Epoch [31/100], Step[416/526], Loss: 0.5420
Epoch [31/100], Step[417/526], Loss: 0.4572
Epoch [31/100], Step[418/526], Loss: 0.7475
Epoch [31/100], Step[419/526], Loss: 0.6848
Epoch [31/100], Step[420/526], Loss: 0.6828
Epoch [31/100], Step[421/526], Loss: 0.6358
Epoch [31/100], Step[422/526], Loss: 0.7888
Epoch [31/100], Step[423/526], Loss: 0.7025
Epoch [31/100], Step[424/526], Loss: 0.7414
Epoch [31/100], Step[425/526], Loss: 0.7053
Epoch [31/100], Step[426/526], Loss: 0.7645
Epoch [31/100], Step[427/526], Loss: 0.7017
Epoch [31/100], Step[428/526], Loss: 0.7150
Epoch [31/100], Step[429/526], Loss: 0.7377
Epoch [31/100], Step[430/526], Loss: 0.7877
Epoch [31/100], Step[431/526], Loss: 0.7065
Epoch [31/100], Step[432/526], Loss: 0.7288
Epoch [31/100], Step[433/526], Loss: 0.6784
Epoch [31/100], Step[434/526], Loss: 0.6147
Epoch [31/100], Step[435/526], Loss: 0.7793
Epoch [31/100], Step[436/526], Loss: 0.8094
Epoch [31/100], Step[437/526], Loss: 0.5191
Epoch [31/100], Step[438/526], Loss: 0.3649
Epoch [31/100], Step[439/526], Loss: 0.7271
Epoch [31/100], Step[440/526], Loss: 0.6911
Epoch [31/100], Step[441/526], Loss: 0.6842
Epoch [31/100], Step[442/526], Loss: 0.6409
Epoch [31/100], Step[443/526], Loss: 0.6634
Epoch [31/100], Step[444/526], Loss: 0.7604
Epoch [31/100], Step[445/526], Loss: 0.7013
Epoch [31/100], Step[446/526], Loss: 0.7219
Epoch [31/100], Step[447/526], Loss: 0.7139
Epoch [31/100], Step[448/526], Loss: 0.7294
Epoch [31/100], Step[449/526], Loss: 0.6777
Epoch [31/100], Step[450/526], Loss: 0.6054
Epoch [31/100], Step[451/526], Loss: 0.6621
Epoch [31/100], Step[452/526], Loss: 0.7290
Epoch [31/100], Step[453/526], Loss: 0.7261
Epoch [31/100], Step[454/526], Loss: 0.8113
Epoch [31/100], Step[455/526], Loss: 0.6523
Epoch [31/100], Step[456/526], Loss: 0.6608
Epoch [31/100], Step[457/526], Loss: 0.7241
Epoch [31/100], Step[458/526], Loss: 0.6819
Epoch [31/100], Step[459/526], Loss: 0.6624
Epoch [31/100], Step[460/526], Loss: 0.6408
Epoch [31/100], Step[461/526], Loss: 0.6157
Epoch [31/100], Step[462/526], Loss: 0.6743
Epoch [31/100], Step[463/526], Loss: 0.6532
Epoch [31/100], Step[464/526], Loss: 0.6528
Epoch [31/100], Step[465/526], Loss: 0.6626
Epoch [31/100], Step[466/526], Loss: 0.6611
Epoch [31/100], Step[467/526], Loss: 0.6482
Epoch [31/100], Step[468/526], Loss: 0.6250
Epoch [31/100], Step[469/526], Loss: 0.8044
Epoch [31/100], Step[470/526], Loss: 0.6584
Epoch [31/100], Step[471/526], Loss: 0.6964
Epoch [31/100], Step[472/526], Loss: 0.6714
Epoch [31/100], Step[473/526], Loss: 0.6797
Epoch [31/100], Step[474/526], Loss: 0.6771
Epoch [31/100], Step[475/526], Loss: 0.8263
Epoch [31/100], Step[476/526], Loss: 0.7534
Epoch [31/100], Step[477/526], Loss: 0.7001
Epoch [31/100], Step[478/526], Loss: 0.6938
Epoch [31/100], Step[479/526], Loss: 0.6640
Epoch [31/100], Step[480/526], Loss: 0.7383
Epoch [31/100], Step[481/526], Loss: 0.7205
Epoch [31/100], Step[482/526], Loss: 0.6228
Epoch [31/100], Step[483/526], Loss: 0.5489
Epoch [31/100], Step[484/526], Loss: 0.6935
Epoch [31/100], Step[485/526], Loss: 0.7730
Epoch [31/100], Step[486/526], Loss: 0.7207
Epoch [31/100], Step[487/526], Loss: 0.7406
Epoch [31/100], Step[488/526], Loss: 0.7007
Epoch [31/100], Step[489/526], Loss: 0.6413
Epoch [31/100], Step[490/526], Loss: 0.6167
Epoch [31/100], Step[491/526], Loss: 0.6890
Epoch [31/100], Step[492/526], Loss: 0.6296
Epoch [31/100], Step[493/526], Loss: 0.6494
Epoch [31/100], Step[494/526], Loss: 0.6616
Epoch [31/100], Step[495/526], Loss: 0.6929
Epoch [31/100], Step[496/526], Loss: 0.6691
Epoch [31/100], Step[497/526], Loss: 0.6440
Epoch [31/100], Step[498/526], Loss: 0.6825
Epoch [31/100], Step[499/526], Loss: 0.6730
Epoch [31/100], Step[500/526], Loss: 0.6812
Epoch [31/100], Step[501/526], Loss: 0.6570
Epoch [31/100], Step[502/526], Loss: 0.6960
Epoch [31/100], Step[503/526], Loss: 0.7123
Epoch [31/100], Step[504/526], Loss: 0.6981
Epoch [31/100], Step[505/526], Loss: 0.7098
Epoch [31/100], Step[506/526], Loss: 0.6835
Epoch [31/100], Step[507/526], Loss: 0.6695
Epoch [31/100], Step[508/526], Loss: 0.7036
Epoch [31/100], Step[509/526], Loss: 0.6556
Epoch [31/100], Step[510/526], Loss: 0.7029
Epoch [31/100], Step[511/526], Loss: 0.6434
Epoch [31/100], Step[512/526], Loss: 0.6741
Epoch [31/100], Step[513/526], Loss: 0.6453
Epoch [31/100], Step[514/526], Loss: 0.6556
Epoch [31/100], Step[515/526], Loss: 0.5767
Epoch [31/100], Step[516/526], Loss: 0.7517
Epoch [31/100], Step[517/526], Loss: 0.6888
Epoch [31/100], Step[518/526], Loss: 0.7350
Epoch [31/100], Step[519/526], Loss: 0.7132
Epoch [31/100], Step[520/526], Loss: 0.6822
Epoch [31/100], Step[521/526], Loss: 0.6710
Epoch [31/100], Step[522/526], Loss: 0.6083
Epoch [31/100], Step[523/526], Loss: 0.6450
Epoch [31/100], Step[524/526], Loss: 0.6457
Epoch [31/100], Step[525/526], Loss: 0.7418
Epoch [31/100], Step[526/526], Loss: 0.7037
Epoch [32/100], Step[1/526], Loss: 0.6573
Epoch [32/100], Step[2/526], Loss: 0.6449
Epoch [32/100], Step[3/526], Loss: 0.6779
Epoch [32/100], Step[4/526], Loss: 0.6340
Epoch [32/100], Step[5/526], Loss: 0.7364
Epoch [32/100], Step[6/526], Loss: 0.7421
Epoch [32/100], Step[7/526], Loss: 0.6962
Epoch [32/100], Step[8/526], Loss: 0.6808
Epoch [32/100], Step[9/526], Loss: 0.7081
Epoch [32/100], Step[10/526], Loss: 0.6770
Epoch [32/100], Step[11/526], Loss: 0.6671
Epoch [32/100], Step[12/526], Loss: 0.7188
Epoch [32/100], Step[13/526], Loss: 0.6364
Epoch [32/100], Step[14/526], Loss: 0.6634
Epoch [32/100], Step[15/526], Loss: 0.6867
Epoch [32/100], Step[16/526], Loss: 0.7031
Epoch [32/100], Step[17/526], Loss: 0.6993
Epoch [32/100], Step[18/526], Loss: 0.6862
Epoch [32/100], Step[19/526], Loss: 0.6815
Epoch [32/100], Step[20/526], Loss: 0.7132
Epoch [32/100], Step[21/526], Loss: 0.7503
Epoch [32/100], Step[22/526], Loss: 0.7303
Epoch [32/100], Step[23/526], Loss: 0.7366
Epoch [32/100], Step[24/526], Loss: 0.7132
Epoch [32/100], Step[25/526], Loss: 0.6921
Epoch [32/100], Step[26/526], Loss: 0.6384
Epoch [32/100], Step[27/526], Loss: 0.6873
Epoch [32/100], Step[28/526], Loss: 0.6888
Epoch [32/100], Step[29/526], Loss: 0.6628
Epoch [32/100], Step[30/526], Loss: 0.6928
Epoch [32/100], Step[31/526], Loss: 0.7027
Epoch [32/100], Step[32/526], Loss: 0.6675
Epoch [32/100], Step[33/526], Loss: 0.7080
Epoch [32/100], Step[34/526], Loss: 0.6912
Epoch [32/100], Step[35/526], Loss: 0.7098
Epoch [32/100], Step[36/526], Loss: 0.6943
Epoch [32/100], Step[37/526], Loss: 0.6940
Epoch [32/100], Step[38/526], Loss: 0.7087
Epoch [32/100], Step[39/526], Loss: 0.6984
Epoch [32/100], Step[40/526], Loss: 0.7245
Epoch [32/100], Step[41/526], Loss: 0.6555
Epoch [32/100], Step[42/526], Loss: 0.7279
Epoch [32/100], Step[43/526], Loss: 0.7187
Epoch [32/100], Step[44/526], Loss: 0.6842
Epoch [32/100], Step[45/526], Loss: 0.6870
Epoch [32/100], Step[46/526], Loss: 0.6891
Epoch [32/100], Step[47/526], Loss: 0.7082
Epoch [32/100], Step[48/526], Loss: 0.7254
Epoch [32/100], Step[49/526], Loss: 0.7060
Epoch [32/100], Step[50/526], Loss: 0.7144
Epoch [32/100], Step[51/526], Loss: 0.6957
Epoch [32/100], Step[52/526], Loss: 0.6760
Epoch [32/100], Step[53/526], Loss: 0.7190
Epoch [32/100], Step[54/526], Loss: 0.7004
Epoch [32/100], Step[55/526], Loss: 0.6890
Epoch [32/100], Step[56/526], Loss: 0.7000
Epoch [32/100], Step[57/526], Loss: 0.6847
Epoch [32/100], Step[58/526], Loss: 0.6742
Epoch [32/100], Step[59/526], Loss: 0.6588
Epoch [32/100], Step[60/526], Loss: 0.6690
Epoch [32/100], Step[61/526], Loss: 0.6492
Epoch [32/100], Step[62/526], Loss: 0.6971
Epoch [32/100], Step[63/526], Loss: 0.6870
Epoch [32/100], Step[64/526], Loss: 0.6826
Epoch [32/100], Step[65/526], Loss: 0.7238
Epoch [32/100], Step[66/526], Loss: 0.6838
Epoch [32/100], Step[67/526], Loss: 0.6632
Epoch [32/100], Step[68/526], Loss: 0.6502
Epoch [32/100], Step[69/526], Loss: 0.6962
Epoch [32/100], Step[70/526], Loss: 0.6839
Epoch [32/100], Step[71/526], Loss: 0.6654
Epoch [32/100], Step[72/526], Loss: 0.6807
Epoch [32/100], Step[73/526], Loss: 0.7116
Epoch [32/100], Step[74/526], Loss: 0.6649
Epoch [32/100], Step[75/526], Loss: 0.7060
Epoch [32/100], Step[76/526], Loss: 0.6919
Epoch [32/100], Step[77/526], Loss: 0.6937
Epoch [32/100], Step[78/526], Loss: 0.7089
Epoch [32/100], Step[79/526], Loss: 0.6938
Epoch [32/100], Step[80/526], Loss: 0.6928
Epoch [32/100], Step[81/526], Loss: 0.7040
Epoch [32/100], Step[82/526], Loss: 0.7288
Epoch [32/100], Step[83/526], Loss: 0.7086
Epoch [32/100], Step[84/526], Loss: 0.6979
Epoch [32/100], Step[85/526], Loss: 0.6637
Epoch [32/100], Step[86/526], Loss: 0.7090
Epoch [32/100], Step[87/526], Loss: 0.6821
Epoch [32/100], Step[88/526], Loss: 0.6904
Epoch [32/100], Step[89/526], Loss: 0.7224
Epoch [32/100], Step[90/526], Loss: 0.6860
Epoch [32/100], Step[91/526], Loss: 0.6799
Epoch [32/100], Step[92/526], Loss: 0.6784
Epoch [32/100], Step[93/526], Loss: 0.6854
Epoch [32/100], Step[94/526], Loss: 0.8020
Epoch [32/100], Step[95/526], Loss: 0.7163
Epoch [32/100], Step[96/526], Loss: 0.6274
Epoch [32/100], Step[97/526], Loss: 0.5953
Epoch [32/100], Step[98/526], Loss: 0.6948
Epoch [32/100], Step[99/526], Loss: 0.6866
Epoch [32/100], Step[100/526], Loss: 0.6728
Epoch [32/100], Step[101/526], Loss: 0.6574
Epoch [32/100], Step[102/526], Loss: 0.6293
Epoch [32/100], Step[103/526], Loss: 0.6985
Epoch [32/100], Step[104/526], Loss: 0.6457
Epoch [32/100], Step[105/526], Loss: 0.6381
Epoch [32/100], Step[106/526], Loss: 0.6896
Epoch [32/100], Step[107/526], Loss: 0.6395
Epoch [32/100], Step[108/526], Loss: 0.5797
Epoch [32/100], Step[109/526], Loss: 0.6725
Epoch [32/100], Step[110/526], Loss: 0.6859
Epoch [32/100], Step[111/526], Loss: 0.5909
Epoch [32/100], Step[112/526], Loss: 0.7356
Epoch [32/100], Step[113/526], Loss: 0.6059
Epoch [32/100], Step[114/526], Loss: 0.6592
Epoch [32/100], Step[115/526], Loss: 0.6042
Epoch [32/100], Step[116/526], Loss: 0.6236
Epoch [32/100], Step[117/526], Loss: 0.6591
Epoch [32/100], Step[118/526], Loss: 0.7540
Epoch [32/100], Step[119/526], Loss: 0.6766
Epoch [32/100], Step[120/526], Loss: 0.6771
Epoch [32/100], Step[121/526], Loss: 0.6939
Epoch [32/100], Step[122/526], Loss: 0.6280
Epoch [32/100], Step[123/526], Loss: 0.6482
Epoch [32/100], Step[124/526], Loss: 0.6730
Epoch [32/100], Step[125/526], Loss: 0.6352
Epoch [32/100], Step[126/526], Loss: 0.7167
Epoch [32/100], Step[127/526], Loss: 0.6726
Epoch [32/100], Step[128/526], Loss: 0.6447
Epoch [32/100], Step[129/526], Loss: 0.5937
Epoch [32/100], Step[130/526], Loss: 0.6078
Epoch [32/100], Step[131/526], Loss: 0.6728
Epoch [32/100], Step[132/526], Loss: 0.7213
Epoch [32/100], Step[133/526], Loss: 0.6764
Epoch [32/100], Step[134/526], Loss: 0.6288
Epoch [32/100], Step[135/526], Loss: 0.6463
Epoch [32/100], Step[136/526], Loss: 0.5681
Epoch [32/100], Step[137/526], Loss: 0.6441
Epoch [32/100], Step[138/526], Loss: 0.6502
Epoch [32/100], Step[139/526], Loss: 0.7073
Epoch [32/100], Step[140/526], Loss: 0.5916
Epoch [32/100], Step[141/526], Loss: 0.6846
Epoch [32/100], Step[142/526], Loss: 0.6647
Epoch [32/100], Step[143/526], Loss: 0.6882
Epoch [32/100], Step[144/526], Loss: 0.7775
Epoch [32/100], Step[145/526], Loss: 0.5489
Epoch [32/100], Step[146/526], Loss: 0.5101
Epoch [32/100], Step[147/526], Loss: 0.4578
Epoch [32/100], Step[148/526], Loss: 0.5914
Epoch [32/100], Step[149/526], Loss: 0.4933
Epoch [32/100], Step[150/526], Loss: 0.6055
Epoch [32/100], Step[151/526], Loss: 0.5607
Epoch [32/100], Step[152/526], Loss: 0.6218
Epoch [32/100], Step[153/526], Loss: 0.6292
Epoch [32/100], Step[154/526], Loss: 0.7285
Epoch [32/100], Step[155/526], Loss: 0.7336
Epoch [32/100], Step[156/526], Loss: 0.5245
Epoch [32/100], Step[157/526], Loss: 0.2673
Epoch [32/100], Step[158/526], Loss: 0.6075
Epoch [32/100], Step[159/526], Loss: 0.6711
Epoch [32/100], Step[160/526], Loss: 0.5490
Epoch [32/100], Step[161/526], Loss: 0.9800
Epoch [32/100], Step[162/526], Loss: 0.6949
Epoch [32/100], Step[163/526], Loss: 0.7178
Epoch [32/100], Step[164/526], Loss: 0.6188
Epoch [32/100], Step[165/526], Loss: 0.7240
Epoch [32/100], Step[166/526], Loss: 0.5021
Epoch [32/100], Step[167/526], Loss: 0.5367
Epoch [32/100], Step[168/526], Loss: 0.6804
Epoch [32/100], Step[169/526], Loss: 0.7513
Epoch [32/100], Step[170/526], Loss: 0.7003
Epoch [32/100], Step[171/526], Loss: 0.7279
Epoch [32/100], Step[172/526], Loss: 0.7231
Epoch [32/100], Step[173/526], Loss: 0.8152
Epoch [32/100], Step[174/526], Loss: 0.6202
Epoch [32/100], Step[175/526], Loss: 0.6593
Epoch [32/100], Step[176/526], Loss: 0.6340
Epoch [32/100], Step[177/526], Loss: 0.6585
Epoch [32/100], Step[178/526], Loss: 0.6971
Epoch [32/100], Step[179/526], Loss: 0.6392
Epoch [32/100], Step[180/526], Loss: 0.6760
Epoch [32/100], Step[181/526], Loss: 0.6402
Epoch [32/100], Step[182/526], Loss: 0.6859
Epoch [32/100], Step[183/526], Loss: 0.5292
Epoch [32/100], Step[184/526], Loss: 0.5961
Epoch [32/100], Step[185/526], Loss: 0.5914
Epoch [32/100], Step[186/526], Loss: 0.6624
Epoch [32/100], Step[187/526], Loss: 0.7517
Epoch [32/100], Step[188/526], Loss: 0.7030
Epoch [32/100], Step[189/526], Loss: 0.6785
Epoch [32/100], Step[190/526], Loss: 0.6036
Epoch [32/100], Step[191/526], Loss: 0.7171
Epoch [32/100], Step[192/526], Loss: 0.7728
Epoch [32/100], Step[193/526], Loss: 0.6537
Epoch [32/100], Step[194/526], Loss: 0.6127
Epoch [32/100], Step[195/526], Loss: 0.6502
Epoch [32/100], Step[196/526], Loss: 0.7315
Epoch [32/100], Step[197/526], Loss: 0.6818
Epoch [32/100], Step[198/526], Loss: 0.6329
Epoch [32/100], Step[199/526], Loss: 0.7297
Epoch [32/100], Step[200/526], Loss: 0.6693
Epoch [32/100], Step[201/526], Loss: 0.6763
Epoch [32/100], Step[202/526], Loss: 0.7457
Epoch [32/100], Step[203/526], Loss: 0.7059
Epoch [32/100], Step[204/526], Loss: 0.7294
Epoch [32/100], Step[205/526], Loss: 0.7041
Epoch [32/100], Step[206/526], Loss: 0.6816
Epoch [32/100], Step[207/526], Loss: 0.7079
Epoch [32/100], Step[208/526], Loss: 0.6832
Epoch [32/100], Step[209/526], Loss: 0.6821
Epoch [32/100], Step[210/526], Loss: 0.7729
Epoch [32/100], Step[211/526], Loss: 0.6379
Epoch [32/100], Step[212/526], Loss: 0.6876
Epoch [32/100], Step[213/526], Loss: 0.7193
Epoch [32/100], Step[214/526], Loss: 0.7466
Epoch [32/100], Step[215/526], Loss: 0.6920
Epoch [32/100], Step[216/526], Loss: 0.6794
Epoch [32/100], Step[217/526], Loss: 0.6730
Epoch [32/100], Step[218/526], Loss: 0.6985
Epoch [32/100], Step[219/526], Loss: 0.6955
Epoch [32/100], Step[220/526], Loss: 0.7285
Epoch [32/100], Step[221/526], Loss: 0.6936
Epoch [32/100], Step[222/526], Loss: 0.7438
Epoch [32/100], Step[223/526], Loss: 0.6779
Epoch [32/100], Step[224/526], Loss: 0.6843
Epoch [32/100], Step[225/526], Loss: 0.7231
Epoch [32/100], Step[226/526], Loss: 0.6782
Epoch [32/100], Step[227/526], Loss: 0.6739
Epoch [32/100], Step[228/526], Loss: 0.6670
Epoch [32/100], Step[229/526], Loss: 0.6897
Epoch [32/100], Step[230/526], Loss: 0.6620
Epoch [32/100], Step[231/526], Loss: 0.6668
Epoch [32/100], Step[232/526], Loss: 0.7087
Epoch [32/100], Step[233/526], Loss: 0.6855
Epoch [32/100], Step[234/526], Loss: 0.6813
Epoch [32/100], Step[235/526], Loss: 0.7056
Epoch [32/100], Step[236/526], Loss: 0.6917
Epoch [32/100], Step[237/526], Loss: 0.7183
Epoch [32/100], Step[238/526], Loss: 0.6876
Epoch [32/100], Step[239/526], Loss: 0.6725
Epoch [32/100], Step[240/526], Loss: 0.7270
Epoch [32/100], Step[241/526], Loss: 0.6984
Epoch [32/100], Step[242/526], Loss: 0.7095
Epoch [32/100], Step[243/526], Loss: 0.6503
Epoch [32/100], Step[244/526], Loss: 0.6520
Epoch [32/100], Step[245/526], Loss: 0.6425
Epoch [32/100], Step[246/526], Loss: 0.6647
Epoch [32/100], Step[247/526], Loss: 0.6237
Epoch [32/100], Step[248/526], Loss: 0.6543
Epoch [32/100], Step[249/526], Loss: 0.6661
Epoch [32/100], Step[250/526], Loss: 0.6801
Epoch [32/100], Step[251/526], Loss: 0.7010
Epoch [32/100], Step[252/526], Loss: 0.6939
Epoch [32/100], Step[253/526], Loss: 0.6307
Epoch [32/100], Step[254/526], Loss: 0.6636
Epoch [32/100], Step[255/526], Loss: 0.6038
Epoch [32/100], Step[256/526], Loss: 0.6894
Epoch [32/100], Step[257/526], Loss: 0.6668
Epoch [32/100], Step[258/526], Loss: 0.6335
Epoch [32/100], Step[259/526], Loss: 0.6852
Epoch [32/100], Step[260/526], Loss: 0.7359
Epoch [32/100], Step[261/526], Loss: 0.7491
Epoch [32/100], Step[262/526], Loss: 0.6814
Epoch [32/100], Step[263/526], Loss: 0.6651
Epoch [32/100], Step[264/526], Loss: 0.6464
Epoch [32/100], Step[265/526], Loss: 0.6398
Epoch [32/100], Step[266/526], Loss: 0.6362
Epoch [32/100], Step[267/526], Loss: 0.5000
Epoch [32/100], Step[268/526], Loss: 0.5501
Epoch [32/100], Step[269/526], Loss: 0.4610
Epoch [32/100], Step[270/526], Loss: 0.3954
Epoch [32/100], Step[271/526], Loss: 0.5194
Epoch [32/100], Step[272/526], Loss: 0.5356
Epoch [32/100], Step[273/526], Loss: 0.6294
Epoch [32/100], Step[274/526], Loss: 0.4403
Epoch [32/100], Step[275/526], Loss: 0.4228
Epoch [32/100], Step[276/526], Loss: 0.4712
Epoch [32/100], Step[277/526], Loss: 0.4310
Epoch [32/100], Step[278/526], Loss: 0.4563
Epoch [32/100], Step[279/526], Loss: 0.4063
Epoch [32/100], Step[280/526], Loss: 0.4490
Epoch [32/100], Step[281/526], Loss: 0.6234
Epoch [32/100], Step[282/526], Loss: 0.3621
Epoch [32/100], Step[283/526], Loss: 0.3647
Epoch [32/100], Step[284/526], Loss: 0.3986
Epoch [32/100], Step[285/526], Loss: 0.2785
Epoch [32/100], Step[286/526], Loss: 0.6984
Epoch [32/100], Step[287/526], Loss: 0.4807
Epoch [32/100], Step[288/526], Loss: 0.4348
Epoch [32/100], Step[289/526], Loss: 0.6140
Epoch [32/100], Step[290/526], Loss: 0.4253
Epoch [32/100], Step[291/526], Loss: 0.4837
Epoch [32/100], Step[292/526], Loss: 0.2566
Epoch [32/100], Step[293/526], Loss: 0.3097
Epoch [32/100], Step[294/526], Loss: 0.3258
Epoch [32/100], Step[295/526], Loss: 0.4233
Epoch [32/100], Step[296/526], Loss: 0.6185
Epoch [32/100], Step[297/526], Loss: 0.2901
Epoch [32/100], Step[298/526], Loss: 0.2919
Epoch [32/100], Step[299/526], Loss: 0.2438
Epoch [32/100], Step[300/526], Loss: 0.3038
Epoch [32/100], Step[301/526], Loss: 0.6063
Epoch [32/100], Step[302/526], Loss: 0.3195
Epoch [32/100], Step[303/526], Loss: 0.4779
Epoch [32/100], Step[304/526], Loss: 0.2564
Epoch [32/100], Step[305/526], Loss: 0.2615
Epoch [32/100], Step[306/526], Loss: 0.5737
Epoch [32/100], Step[307/526], Loss: 0.8831
Epoch [32/100], Step[308/526], Loss: 1.3063
Epoch [32/100], Step[309/526], Loss: 0.8755
Epoch [32/100], Step[310/526], Loss: 0.9599
Epoch [32/100], Step[311/526], Loss: 0.8183
Epoch [32/100], Step[312/526], Loss: 0.4947
Epoch [32/100], Step[313/526], Loss: 0.4822
Epoch [32/100], Step[314/526], Loss: 0.6542
Epoch [32/100], Step[315/526], Loss: 0.7009
Epoch [32/100], Step[316/526], Loss: 0.4928
Epoch [32/100], Step[317/526], Loss: 0.3222
Epoch [32/100], Step[318/526], Loss: 0.7558
Epoch [32/100], Step[319/526], Loss: 0.3542
Epoch [32/100], Step[320/526], Loss: 0.6028
Epoch [32/100], Step[321/526], Loss: 0.7121
Epoch [32/100], Step[322/526], Loss: 0.2677
Epoch [32/100], Step[323/526], Loss: 0.6105
Epoch [32/100], Step[324/526], Loss: 0.6585
Epoch [32/100], Step[325/526], Loss: 0.5765
Epoch [32/100], Step[326/526], Loss: 0.7705
Epoch [32/100], Step[327/526], Loss: 0.7323
Epoch [32/100], Step[328/526], Loss: 0.9196
Epoch [32/100], Step[329/526], Loss: 1.2599
Epoch [32/100], Step[330/526], Loss: 1.0314
Epoch [32/100], Step[331/526], Loss: 0.7957
Epoch [32/100], Step[332/526], Loss: 0.8458
Epoch [32/100], Step[333/526], Loss: 0.7799
Epoch [32/100], Step[334/526], Loss: 0.7779
Epoch [32/100], Step[335/526], Loss: 0.8026
Epoch [32/100], Step[336/526], Loss: 0.7014
Epoch [32/100], Step[337/526], Loss: 0.5973
Epoch [32/100], Step[338/526], Loss: 0.7041
Epoch [32/100], Step[339/526], Loss: 0.6454
Epoch [32/100], Step[340/526], Loss: 0.7250
Epoch [32/100], Step[341/526], Loss: 0.7785
Epoch [32/100], Step[342/526], Loss: 0.7866
Epoch [32/100], Step[343/526], Loss: 0.5442
Epoch [32/100], Step[344/526], Loss: 0.7324
Epoch [32/100], Step[345/526], Loss: 0.6517
Epoch [32/100], Step[346/526], Loss: 0.6742
Epoch [32/100], Step[347/526], Loss: 0.7050
Epoch [32/100], Step[348/526], Loss: 0.6362
Epoch [32/100], Step[349/526], Loss: 0.5865
Epoch [32/100], Step[350/526], Loss: 0.6733
Epoch [32/100], Step[351/526], Loss: 0.7160
Epoch [32/100], Step[352/526], Loss: 0.6172
Epoch [32/100], Step[353/526], Loss: 0.6840
Epoch [32/100], Step[354/526], Loss: 0.6717
Epoch [32/100], Step[355/526], Loss: 0.6720
Epoch [32/100], Step[356/526], Loss: 0.7030
Epoch [32/100], Step[357/526], Loss: 0.6576
Epoch [32/100], Step[358/526], Loss: 0.6973
Epoch [32/100], Step[359/526], Loss: 0.6530
Epoch [32/100], Step[360/526], Loss: 0.6742
Epoch [32/100], Step[361/526], Loss: 0.7197
Epoch [32/100], Step[362/526], Loss: 0.7062
Epoch [32/100], Step[363/526], Loss: 0.6927
Epoch [32/100], Step[364/526], Loss: 0.7132
Epoch [32/100], Step[365/526], Loss: 0.7139
Epoch [32/100], Step[366/526], Loss: 0.6876
Epoch [32/100], Step[367/526], Loss: 0.6883
Epoch [32/100], Step[368/526], Loss: 0.6523
Epoch [32/100], Step[369/526], Loss: 0.6586
Epoch [32/100], Step[370/526], Loss: 0.6236
Epoch [32/100], Step[371/526], Loss: 0.7359
Epoch [32/100], Step[372/526], Loss: 0.6430
Epoch [32/100], Step[373/526], Loss: 0.6761
Epoch [32/100], Step[374/526], Loss: 0.7004
Epoch [32/100], Step[375/526], Loss: 0.6484
Epoch [32/100], Step[376/526], Loss: 0.6436
Epoch [32/100], Step[377/526], Loss: 0.6850
Epoch [32/100], Step[378/526], Loss: 0.6934
Epoch [32/100], Step[379/526], Loss: 0.7434
Epoch [32/100], Step[380/526], Loss: 0.6133
Epoch [32/100], Step[381/526], Loss: 0.5997
Epoch [32/100], Step[382/526], Loss: 0.6712
Epoch [32/100], Step[383/526], Loss: 0.6893
Epoch [32/100], Step[384/526], Loss: 0.6313
Epoch [32/100], Step[385/526], Loss: 0.6362
Epoch [32/100], Step[386/526], Loss: 0.6604
Epoch [32/100], Step[387/526], Loss: 0.6624
Epoch [32/100], Step[388/526], Loss: 0.5993
Epoch [32/100], Step[389/526], Loss: 0.7196
Epoch [32/100], Step[390/526], Loss: 0.5962
Epoch [32/100], Step[391/526], Loss: 0.6541
Epoch [32/100], Step[392/526], Loss: 0.7009
Epoch [32/100], Step[393/526], Loss: 0.5892
Epoch [32/100], Step[394/526], Loss: 0.5232
Epoch [32/100], Step[395/526], Loss: 0.6281
Epoch [32/100], Step[396/526], Loss: 0.6310
Epoch [32/100], Step[397/526], Loss: 0.4817
Epoch [32/100], Step[398/526], Loss: 0.6038
Epoch [32/100], Step[399/526], Loss: 0.6522
Epoch [32/100], Step[400/526], Loss: 0.4805
Epoch [32/100], Step[401/526], Loss: 0.5954
Epoch [32/100], Step[402/526], Loss: 0.6417
Epoch [32/100], Step[403/526], Loss: 0.7179
Epoch [32/100], Step[404/526], Loss: 0.4823
Epoch [32/100], Step[405/526], Loss: 0.5061
Epoch [32/100], Step[406/526], Loss: 0.6279
Epoch [32/100], Step[407/526], Loss: 0.7502
Epoch [32/100], Step[408/526], Loss: 0.6530
Epoch [32/100], Step[409/526], Loss: 0.4693
Epoch [32/100], Step[410/526], Loss: 0.4938
Epoch [32/100], Step[411/526], Loss: 0.5368
Epoch [32/100], Step[412/526], Loss: 0.5905
Epoch [32/100], Step[413/526], Loss: 0.5983
Epoch [32/100], Step[414/526], Loss: 0.6400
Epoch [32/100], Step[415/526], Loss: 0.6078
Epoch [32/100], Step[416/526], Loss: 0.5395
Epoch [32/100], Step[417/526], Loss: 0.4566
Epoch [32/100], Step[418/526], Loss: 0.7475
Epoch [32/100], Step[419/526], Loss: 0.6857
Epoch [32/100], Step[420/526], Loss: 0.6843
Epoch [32/100], Step[421/526], Loss: 0.6354
Epoch [32/100], Step[422/526], Loss: 0.7852
Epoch [32/100], Step[423/526], Loss: 0.7024
Epoch [32/100], Step[424/526], Loss: 0.7432
Epoch [32/100], Step[425/526], Loss: 0.7041
Epoch [32/100], Step[426/526], Loss: 0.7639
Epoch [32/100], Step[427/526], Loss: 0.7041
Epoch [32/100], Step[428/526], Loss: 0.7153
Epoch [32/100], Step[429/526], Loss: 0.7372
Epoch [32/100], Step[430/526], Loss: 0.7899
Epoch [32/100], Step[431/526], Loss: 0.7045
Epoch [32/100], Step[432/526], Loss: 0.7285
Epoch [32/100], Step[433/526], Loss: 0.6774
Epoch [32/100], Step[434/526], Loss: 0.6139
Epoch [32/100], Step[435/526], Loss: 0.7776
Epoch [32/100], Step[436/526], Loss: 0.8064
Epoch [32/100], Step[437/526], Loss: 0.5156
Epoch [32/100], Step[438/526], Loss: 0.3685
Epoch [32/100], Step[439/526], Loss: 0.7258
Epoch [32/100], Step[440/526], Loss: 0.6850
Epoch [32/100], Step[441/526], Loss: 0.6939
Epoch [32/100], Step[442/526], Loss: 0.6418
Epoch [32/100], Step[443/526], Loss: 0.6659
Epoch [32/100], Step[444/526], Loss: 0.7580
Epoch [32/100], Step[445/526], Loss: 0.7013
Epoch [32/100], Step[446/526], Loss: 0.7189
Epoch [32/100], Step[447/526], Loss: 0.7136
Epoch [32/100], Step[448/526], Loss: 0.7273
Epoch [32/100], Step[449/526], Loss: 0.6768
Epoch [32/100], Step[450/526], Loss: 0.6072
Epoch [32/100], Step[451/526], Loss: 0.6621
Epoch [32/100], Step[452/526], Loss: 0.7311
Epoch [32/100], Step[453/526], Loss: 0.7230
Epoch [32/100], Step[454/526], Loss: 0.8154
Epoch [32/100], Step[455/526], Loss: 0.6459
Epoch [32/100], Step[456/526], Loss: 0.6264
Epoch [32/100], Step[457/526], Loss: 0.7240
Epoch [32/100], Step[458/526], Loss: 0.6820
Epoch [32/100], Step[459/526], Loss: 0.6590
Epoch [32/100], Step[460/526], Loss: 0.6385
Epoch [32/100], Step[461/526], Loss: 0.6143
Epoch [32/100], Step[462/526], Loss: 0.6749
Epoch [32/100], Step[463/526], Loss: 0.6518
Epoch [32/100], Step[464/526], Loss: 0.6604
Epoch [32/100], Step[465/526], Loss: 0.6578
Epoch [32/100], Step[466/526], Loss: 0.6636
Epoch [32/100], Step[467/526], Loss: 0.6437
Epoch [32/100], Step[468/526], Loss: 0.6261
Epoch [32/100], Step[469/526], Loss: 0.8055
Epoch [32/100], Step[470/526], Loss: 0.6577
Epoch [32/100], Step[471/526], Loss: 0.6963
Epoch [32/100], Step[472/526], Loss: 0.6715
Epoch [32/100], Step[473/526], Loss: 0.6804
Epoch [32/100], Step[474/526], Loss: 0.6777
Epoch [32/100], Step[475/526], Loss: 0.8283
Epoch [32/100], Step[476/526], Loss: 0.7520
Epoch [32/100], Step[477/526], Loss: 0.6981
Epoch [32/100], Step[478/526], Loss: 0.6923
Epoch [32/100], Step[479/526], Loss: 0.6642
Epoch [32/100], Step[480/526], Loss: 0.7397
Epoch [32/100], Step[481/526], Loss: 0.7214
Epoch [32/100], Step[482/526], Loss: 0.6229
Epoch [32/100], Step[483/526], Loss: 0.5469
Epoch [32/100], Step[484/526], Loss: 0.6942
Epoch [32/100], Step[485/526], Loss: 0.7708
Epoch [32/100], Step[486/526], Loss: 0.7230
Epoch [32/100], Step[487/526], Loss: 0.7376
Epoch [32/100], Step[488/526], Loss: 0.6964
Epoch [32/100], Step[489/526], Loss: 0.6363
Epoch [32/100], Step[490/526], Loss: 0.6152
Epoch [32/100], Step[491/526], Loss: 0.6902
Epoch [32/100], Step[492/526], Loss: 0.6268
Epoch [32/100], Step[493/526], Loss: 0.6471
Epoch [32/100], Step[494/526], Loss: 0.6623
Epoch [32/100], Step[495/526], Loss: 0.6946
Epoch [32/100], Step[496/526], Loss: 0.6673
Epoch [32/100], Step[497/526], Loss: 0.6423
Epoch [32/100], Step[498/526], Loss: 0.6841
Epoch [32/100], Step[499/526], Loss: 0.6710
Epoch [32/100], Step[500/526], Loss: 0.6866
Epoch [32/100], Step[501/526], Loss: 0.6561
Epoch [32/100], Step[502/526], Loss: 0.6944
Epoch [32/100], Step[503/526], Loss: 0.7129
Epoch [32/100], Step[504/526], Loss: 0.6969
Epoch [32/100], Step[505/526], Loss: 0.7117
Epoch [32/100], Step[506/526], Loss: 0.6836
Epoch [32/100], Step[507/526], Loss: 0.6645
Epoch [32/100], Step[508/526], Loss: 0.7225
Epoch [32/100], Step[509/526], Loss: 0.6579
Epoch [32/100], Step[510/526], Loss: 0.7084
Epoch [32/100], Step[511/526], Loss: 0.6481
Epoch [32/100], Step[512/526], Loss: 0.6697
Epoch [32/100], Step[513/526], Loss: 0.6471
Epoch [32/100], Step[514/526], Loss: 0.6562
Epoch [32/100], Step[515/526], Loss: 0.5748
Epoch [32/100], Step[516/526], Loss: 0.7531
Epoch [32/100], Step[517/526], Loss: 0.6878
Epoch [32/100], Step[518/526], Loss: 0.7343
Epoch [32/100], Step[519/526], Loss: 0.7124
Epoch [32/100], Step[520/526], Loss: 0.6842
Epoch [32/100], Step[521/526], Loss: 0.6676
Epoch [32/100], Step[522/526], Loss: 0.6101
Epoch [32/100], Step[523/526], Loss: 0.6471
Epoch [32/100], Step[524/526], Loss: 0.6459
Epoch [32/100], Step[525/526], Loss: 0.7445
Epoch [32/100], Step[526/526], Loss: 0.7033
Epoch [33/100], Step[1/526], Loss: 0.6568
Epoch [33/100], Step[2/526], Loss: 0.6431
Epoch [33/100], Step[3/526], Loss: 0.6778
Epoch [33/100], Step[4/526], Loss: 0.6331
Epoch [33/100], Step[5/526], Loss: 0.7348
Epoch [33/100], Step[6/526], Loss: 0.7422
Epoch [33/100], Step[7/526], Loss: 0.6962
Epoch [33/100], Step[8/526], Loss: 0.6810
Epoch [33/100], Step[9/526], Loss: 0.7090
Epoch [33/100], Step[10/526], Loss: 0.6769
Epoch [33/100], Step[11/526], Loss: 0.6670
Epoch [33/100], Step[12/526], Loss: 0.7187
Epoch [33/100], Step[13/526], Loss: 0.6362
Epoch [33/100], Step[14/526], Loss: 0.6621
Epoch [33/100], Step[15/526], Loss: 0.6871
Epoch [33/100], Step[16/526], Loss: 0.7027
Epoch [33/100], Step[17/526], Loss: 0.6991
Epoch [33/100], Step[18/526], Loss: 0.6823
Epoch [33/100], Step[19/526], Loss: 0.6797
Epoch [33/100], Step[20/526], Loss: 0.7123
Epoch [33/100], Step[21/526], Loss: 0.7490
Epoch [33/100], Step[22/526], Loss: 0.7292
Epoch [33/100], Step[23/526], Loss: 0.7363
Epoch [33/100], Step[24/526], Loss: 0.7135
Epoch [33/100], Step[25/526], Loss: 0.6923
Epoch [33/100], Step[26/526], Loss: 0.6389
Epoch [33/100], Step[27/526], Loss: 0.6874
Epoch [33/100], Step[28/526], Loss: 0.6884
Epoch [33/100], Step[29/526], Loss: 0.6624
Epoch [33/100], Step[30/526], Loss: 0.6921
Epoch [33/100], Step[31/526], Loss: 0.7030
Epoch [33/100], Step[32/526], Loss: 0.6677
Epoch [33/100], Step[33/526], Loss: 0.7075
Epoch [33/100], Step[34/526], Loss: 0.6926
Epoch [33/100], Step[35/526], Loss: 0.7098
Epoch [33/100], Step[36/526], Loss: 0.6959
Epoch [33/100], Step[37/526], Loss: 0.6934
Epoch [33/100], Step[38/526], Loss: 0.7086
Epoch [33/100], Step[39/526], Loss: 0.6977
Epoch [33/100], Step[40/526], Loss: 0.7216
Epoch [33/100], Step[41/526], Loss: 0.6568
Epoch [33/100], Step[42/526], Loss: 0.7272
Epoch [33/100], Step[43/526], Loss: 0.7183
Epoch [33/100], Step[44/526], Loss: 0.6839
Epoch [33/100], Step[45/526], Loss: 0.6870
Epoch [33/100], Step[46/526], Loss: 0.6891
Epoch [33/100], Step[47/526], Loss: 0.7087
Epoch [33/100], Step[48/526], Loss: 0.7259
Epoch [33/100], Step[49/526], Loss: 0.7069
Epoch [33/100], Step[50/526], Loss: 0.7141
Epoch [33/100], Step[51/526], Loss: 0.6950
Epoch [33/100], Step[52/526], Loss: 0.6765
Epoch [33/100], Step[53/526], Loss: 0.7182
Epoch [33/100], Step[54/526], Loss: 0.7013
Epoch [33/100], Step[55/526], Loss: 0.6885
Epoch [33/100], Step[56/526], Loss: 0.7011
Epoch [33/100], Step[57/526], Loss: 0.6841
Epoch [33/100], Step[58/526], Loss: 0.6743
Epoch [33/100], Step[59/526], Loss: 0.6613
Epoch [33/100], Step[60/526], Loss: 0.6697
Epoch [33/100], Step[61/526], Loss: 0.6475
Epoch [33/100], Step[62/526], Loss: 0.6963
Epoch [33/100], Step[63/526], Loss: 0.6849
Epoch [33/100], Step[64/526], Loss: 0.6808
Epoch [33/100], Step[65/526], Loss: 0.7228
Epoch [33/100], Step[66/526], Loss: 0.6841
Epoch [33/100], Step[67/526], Loss: 0.6634
Epoch [33/100], Step[68/526], Loss: 0.6514
Epoch [33/100], Step[69/526], Loss: 0.6977
Epoch [33/100], Step[70/526], Loss: 0.6853
Epoch [33/100], Step[71/526], Loss: 0.6645
Epoch [33/100], Step[72/526], Loss: 0.6803
Epoch [33/100], Step[73/526], Loss: 0.7111
Epoch [33/100], Step[74/526], Loss: 0.6623
Epoch [33/100], Step[75/526], Loss: 0.7061
Epoch [33/100], Step[76/526], Loss: 0.6908
Epoch [33/100], Step[77/526], Loss: 0.6936
Epoch [33/100], Step[78/526], Loss: 0.7097
Epoch [33/100], Step[79/526], Loss: 0.6929
Epoch [33/100], Step[80/526], Loss: 0.6928
Epoch [33/100], Step[81/526], Loss: 0.7042
Epoch [33/100], Step[82/526], Loss: 0.7280
Epoch [33/100], Step[83/526], Loss: 0.7081
Epoch [33/100], Step[84/526], Loss: 0.6973
Epoch [33/100], Step[85/526], Loss: 0.6639
Epoch [33/100], Step[86/526], Loss: 0.7076
Epoch [33/100], Step[87/526], Loss: 0.6843
Epoch [33/100], Step[88/526], Loss: 0.6887
Epoch [33/100], Step[89/526], Loss: 0.7210
Epoch [33/100], Step[90/526], Loss: 0.6861
Epoch [33/100], Step[91/526], Loss: 0.6787
Epoch [33/100], Step[92/526], Loss: 0.6788
Epoch [33/100], Step[93/526], Loss: 0.6849
Epoch [33/100], Step[94/526], Loss: 0.8050
Epoch [33/100], Step[95/526], Loss: 0.7167
Epoch [33/100], Step[96/526], Loss: 0.6274
Epoch [33/100], Step[97/526], Loss: 0.5945
Epoch [33/100], Step[98/526], Loss: 0.6924
Epoch [33/100], Step[99/526], Loss: 0.6882
Epoch [33/100], Step[100/526], Loss: 0.6751
Epoch [33/100], Step[101/526], Loss: 0.6571
Epoch [33/100], Step[102/526], Loss: 0.6264
Epoch [33/100], Step[103/526], Loss: 0.6949
Epoch [33/100], Step[104/526], Loss: 0.6435
Epoch [33/100], Step[105/526], Loss: 0.6385
Epoch [33/100], Step[106/526], Loss: 0.6879
Epoch [33/100], Step[107/526], Loss: 0.6407
Epoch [33/100], Step[108/526], Loss: 0.5810
Epoch [33/100], Step[109/526], Loss: 0.6776
Epoch [33/100], Step[110/526], Loss: 0.6886
Epoch [33/100], Step[111/526], Loss: 0.5892
Epoch [33/100], Step[112/526], Loss: 0.7364
Epoch [33/100], Step[113/526], Loss: 0.6069
Epoch [33/100], Step[114/526], Loss: 0.6592
Epoch [33/100], Step[115/526], Loss: 0.6052
Epoch [33/100], Step[116/526], Loss: 0.6232
Epoch [33/100], Step[117/526], Loss: 0.6576
Epoch [33/100], Step[118/526], Loss: 0.7533
Epoch [33/100], Step[119/526], Loss: 0.6743
Epoch [33/100], Step[120/526], Loss: 0.6779
Epoch [33/100], Step[121/526], Loss: 0.6915
Epoch [33/100], Step[122/526], Loss: 0.6296
Epoch [33/100], Step[123/526], Loss: 0.6481
Epoch [33/100], Step[124/526], Loss: 0.6727
Epoch [33/100], Step[125/526], Loss: 0.6338
Epoch [33/100], Step[126/526], Loss: 0.7163
Epoch [33/100], Step[127/526], Loss: 0.6733
Epoch [33/100], Step[128/526], Loss: 0.6438
Epoch [33/100], Step[129/526], Loss: 0.5908
Epoch [33/100], Step[130/526], Loss: 0.6023
Epoch [33/100], Step[131/526], Loss: 0.6733
Epoch [33/100], Step[132/526], Loss: 0.7216
Epoch [33/100], Step[133/526], Loss: 0.6756
Epoch [33/100], Step[134/526], Loss: 0.6284
Epoch [33/100], Step[135/526], Loss: 0.6468
Epoch [33/100], Step[136/526], Loss: 0.5685
Epoch [33/100], Step[137/526], Loss: 0.6390
Epoch [33/100], Step[138/526], Loss: 0.6505
Epoch [33/100], Step[139/526], Loss: 0.7093
Epoch [33/100], Step[140/526], Loss: 0.5916
Epoch [33/100], Step[141/526], Loss: 0.6851
Epoch [33/100], Step[142/526], Loss: 0.6647
Epoch [33/100], Step[143/526], Loss: 0.6917
Epoch [33/100], Step[144/526], Loss: 0.7808
Epoch [33/100], Step[145/526], Loss: 0.5511
Epoch [33/100], Step[146/526], Loss: 0.5111
Epoch [33/100], Step[147/526], Loss: 0.4590
Epoch [33/100], Step[148/526], Loss: 0.5915
Epoch [33/100], Step[149/526], Loss: 0.4938
Epoch [33/100], Step[150/526], Loss: 0.6058
Epoch [33/100], Step[151/526], Loss: 0.5619
Epoch [33/100], Step[152/526], Loss: 0.6233
Epoch [33/100], Step[153/526], Loss: 0.6304
Epoch [33/100], Step[154/526], Loss: 0.7278
Epoch [33/100], Step[155/526], Loss: 0.7330
Epoch [33/100], Step[156/526], Loss: 0.5260
Epoch [33/100], Step[157/526], Loss: 0.2689
Epoch [33/100], Step[158/526], Loss: 0.6064
Epoch [33/100], Step[159/526], Loss: 0.6737
Epoch [33/100], Step[160/526], Loss: 0.5475
Epoch [33/100], Step[161/526], Loss: 0.9831
Epoch [33/100], Step[162/526], Loss: 0.6951
Epoch [33/100], Step[163/526], Loss: 0.7161
Epoch [33/100], Step[164/526], Loss: 0.6189
Epoch [33/100], Step[165/526], Loss: 0.7239
Epoch [33/100], Step[166/526], Loss: 0.5024
Epoch [33/100], Step[167/526], Loss: 0.5374
Epoch [33/100], Step[168/526], Loss: 0.6818
Epoch [33/100], Step[169/526], Loss: 0.7502
Epoch [33/100], Step[170/526], Loss: 0.6995
Epoch [33/100], Step[171/526], Loss: 0.7269
Epoch [33/100], Step[172/526], Loss: 0.7227
Epoch [33/100], Step[173/526], Loss: 0.8149
Epoch [33/100], Step[174/526], Loss: 0.6209
Epoch [33/100], Step[175/526], Loss: 0.6584
Epoch [33/100], Step[176/526], Loss: 0.6329
Epoch [33/100], Step[177/526], Loss: 0.6582
Epoch [33/100], Step[178/526], Loss: 0.6948
Epoch [33/100], Step[179/526], Loss: 0.6387
Epoch [33/100], Step[180/526], Loss: 0.6756
Epoch [33/100], Step[181/526], Loss: 0.6412
Epoch [33/100], Step[182/526], Loss: 0.6861
Epoch [33/100], Step[183/526], Loss: 0.5299
Epoch [33/100], Step[184/526], Loss: 0.5969
Epoch [33/100], Step[185/526], Loss: 0.5939
Epoch [33/100], Step[186/526], Loss: 0.6620
Epoch [33/100], Step[187/526], Loss: 0.7519
Epoch [33/100], Step[188/526], Loss: 0.7023
Epoch [33/100], Step[189/526], Loss: 0.6781
Epoch [33/100], Step[190/526], Loss: 0.6030
Epoch [33/100], Step[191/526], Loss: 0.7193
Epoch [33/100], Step[192/526], Loss: 0.7742
Epoch [33/100], Step[193/526], Loss: 0.6552
Epoch [33/100], Step[194/526], Loss: 0.6129
Epoch [33/100], Step[195/526], Loss: 0.6507
Epoch [33/100], Step[196/526], Loss: 0.7357
Epoch [33/100], Step[197/526], Loss: 0.6842
Epoch [33/100], Step[198/526], Loss: 0.6329
Epoch [33/100], Step[199/526], Loss: 0.7322
Epoch [33/100], Step[200/526], Loss: 0.6706
Epoch [33/100], Step[201/526], Loss: 0.6771
Epoch [33/100], Step[202/526], Loss: 0.7467
Epoch [33/100], Step[203/526], Loss: 0.7059
Epoch [33/100], Step[204/526], Loss: 0.7284
Epoch [33/100], Step[205/526], Loss: 0.7048
Epoch [33/100], Step[206/526], Loss: 0.6821
Epoch [33/100], Step[207/526], Loss: 0.7110
Epoch [33/100], Step[208/526], Loss: 0.6820
Epoch [33/100], Step[209/526], Loss: 0.6829
Epoch [33/100], Step[210/526], Loss: 0.7723
Epoch [33/100], Step[211/526], Loss: 0.6362
Epoch [33/100], Step[212/526], Loss: 0.6875
Epoch [33/100], Step[213/526], Loss: 0.7197
Epoch [33/100], Step[214/526], Loss: 0.7479
Epoch [33/100], Step[215/526], Loss: 0.6948
Epoch [33/100], Step[216/526], Loss: 0.6790
Epoch [33/100], Step[217/526], Loss: 0.6755
Epoch [33/100], Step[218/526], Loss: 0.6982
Epoch [33/100], Step[219/526], Loss: 0.6957
Epoch [33/100], Step[220/526], Loss: 0.7294
Epoch [33/100], Step[221/526], Loss: 0.6957
Epoch [33/100], Step[222/526], Loss: 0.7457
Epoch [33/100], Step[223/526], Loss: 0.6776
Epoch [33/100], Step[224/526], Loss: 0.6834
Epoch [33/100], Step[225/526], Loss: 0.7247
Epoch [33/100], Step[226/526], Loss: 0.6794
Epoch [33/100], Step[227/526], Loss: 0.6722
Epoch [33/100], Step[228/526], Loss: 0.6649
Epoch [33/100], Step[229/526], Loss: 0.6885
Epoch [33/100], Step[230/526], Loss: 0.6610
Epoch [33/100], Step[231/526], Loss: 0.6662
Epoch [33/100], Step[232/526], Loss: 0.7088
Epoch [33/100], Step[233/526], Loss: 0.6856
Epoch [33/100], Step[234/526], Loss: 0.6814
Epoch [33/100], Step[235/526], Loss: 0.7069
Epoch [33/100], Step[236/526], Loss: 0.6922
Epoch [33/100], Step[237/526], Loss: 0.7184
Epoch [33/100], Step[238/526], Loss: 0.6860
Epoch [33/100], Step[239/526], Loss: 0.6715
Epoch [33/100], Step[240/526], Loss: 0.7258
Epoch [33/100], Step[241/526], Loss: 0.6971
Epoch [33/100], Step[242/526], Loss: 0.7093
Epoch [33/100], Step[243/526], Loss: 0.6113
Epoch [33/100], Step[244/526], Loss: 0.6524
Epoch [33/100], Step[245/526], Loss: 0.6428
Epoch [33/100], Step[246/526], Loss: 0.6655
Epoch [33/100], Step[247/526], Loss: 0.6235
Epoch [33/100], Step[248/526], Loss: 0.6538
Epoch [33/100], Step[249/526], Loss: 0.6659
Epoch [33/100], Step[250/526], Loss: 0.6799
Epoch [33/100], Step[251/526], Loss: 0.7006
Epoch [33/100], Step[252/526], Loss: 0.6938
Epoch [33/100], Step[253/526], Loss: 0.6314
Epoch [33/100], Step[254/526], Loss: 0.6634
Epoch [33/100], Step[255/526], Loss: 0.6045
Epoch [33/100], Step[256/526], Loss: 0.6898
Epoch [33/100], Step[257/526], Loss: 0.6654
Epoch [33/100], Step[258/526], Loss: 0.6326
Epoch [33/100], Step[259/526], Loss: 0.6847
Epoch [33/100], Step[260/526], Loss: 0.7366
Epoch [33/100], Step[261/526], Loss: 0.7479
Epoch [33/100], Step[262/526], Loss: 0.6759
Epoch [33/100], Step[263/526], Loss: 0.6780
Epoch [33/100], Step[264/526], Loss: 0.6446
Epoch [33/100], Step[265/526], Loss: 0.6410
Epoch [33/100], Step[266/526], Loss: 0.6339
Epoch [33/100], Step[267/526], Loss: 0.5019
Epoch [33/100], Step[268/526], Loss: 0.5496
Epoch [33/100], Step[269/526], Loss: 0.4595
Epoch [33/100], Step[270/526], Loss: 0.3922
Epoch [33/100], Step[271/526], Loss: 0.5172
Epoch [33/100], Step[272/526], Loss: 0.5340
Epoch [33/100], Step[273/526], Loss: 0.6299
Epoch [33/100], Step[274/526], Loss: 0.4393
Epoch [33/100], Step[275/526], Loss: 0.4225
Epoch [33/100], Step[276/526], Loss: 0.4691
Epoch [33/100], Step[277/526], Loss: 0.4279
Epoch [33/100], Step[278/526], Loss: 0.4543
Epoch [33/100], Step[279/526], Loss: 0.4041
Epoch [33/100], Step[280/526], Loss: 0.4484
Epoch [33/100], Step[281/526], Loss: 0.6254
Epoch [33/100], Step[282/526], Loss: 0.3612
Epoch [33/100], Step[283/526], Loss: 0.3653
Epoch [33/100], Step[284/526], Loss: 0.3977
Epoch [33/100], Step[285/526], Loss: 0.2771
Epoch [33/100], Step[286/526], Loss: 0.6991
Epoch [33/100], Step[287/526], Loss: 0.4820
Epoch [33/100], Step[288/526], Loss: 0.4346
Epoch [33/100], Step[289/526], Loss: 0.6147
Epoch [33/100], Step[290/526], Loss: 0.4244
Epoch [33/100], Step[291/526], Loss: 0.4833
Epoch [33/100], Step[292/526], Loss: 0.2546
Epoch [33/100], Step[293/526], Loss: 0.3095
Epoch [33/100], Step[294/526], Loss: 0.3234
Epoch [33/100], Step[295/526], Loss: 0.4208
Epoch [33/100], Step[296/526], Loss: 0.6120
Epoch [33/100], Step[297/526], Loss: 0.2897
Epoch [33/100], Step[298/526], Loss: 0.2905
Epoch [33/100], Step[299/526], Loss: 0.2427
Epoch [33/100], Step[300/526], Loss: 0.3029
Epoch [33/100], Step[301/526], Loss: 0.6067
Epoch [33/100], Step[302/526], Loss: 0.3179
Epoch [33/100], Step[303/526], Loss: 0.4774
Epoch [33/100], Step[304/526], Loss: 0.2557
Epoch [33/100], Step[305/526], Loss: 0.2610
Epoch [33/100], Step[306/526], Loss: 0.5754
Epoch [33/100], Step[307/526], Loss: 0.8828
Epoch [33/100], Step[308/526], Loss: 1.3091
Epoch [33/100], Step[309/526], Loss: 0.8357
Epoch [33/100], Step[310/526], Loss: 0.9630
Epoch [33/100], Step[311/526], Loss: 0.8450
Epoch [33/100], Step[312/526], Loss: 0.4963
Epoch [33/100], Step[313/526], Loss: 0.4851
Epoch [33/100], Step[314/526], Loss: 0.6570
Epoch [33/100], Step[315/526], Loss: 0.7001
Epoch [33/100], Step[316/526], Loss: 0.4914
Epoch [33/100], Step[317/526], Loss: 0.3223
Epoch [33/100], Step[318/526], Loss: 0.7605
Epoch [33/100], Step[319/526], Loss: 0.3527
Epoch [33/100], Step[320/526], Loss: 0.5907
Epoch [33/100], Step[321/526], Loss: 0.7098
Epoch [33/100], Step[322/526], Loss: 0.2812
Epoch [33/100], Step[323/526], Loss: 0.6115
Epoch [33/100], Step[324/526], Loss: 0.6591
Epoch [33/100], Step[325/526], Loss: 0.5761
Epoch [33/100], Step[326/526], Loss: 0.7708
Epoch [33/100], Step[327/526], Loss: 0.7328
Epoch [33/100], Step[328/526], Loss: 0.9214
Epoch [33/100], Step[329/526], Loss: 1.2612
Epoch [33/100], Step[330/526], Loss: 1.0351
Epoch [33/100], Step[331/526], Loss: 0.7974
Epoch [33/100], Step[332/526], Loss: 0.8484
Epoch [33/100], Step[333/526], Loss: 0.7816
Epoch [33/100], Step[334/526], Loss: 0.7810
Epoch [33/100], Step[335/526], Loss: 0.7924
Epoch [33/100], Step[336/526], Loss: 0.6999
Epoch [33/100], Step[337/526], Loss: 0.5968
Epoch [33/100], Step[338/526], Loss: 0.7050
Epoch [33/100], Step[339/526], Loss: 0.6451
Epoch [33/100], Step[340/526], Loss: 0.7255
Epoch [33/100], Step[341/526], Loss: 0.7783
Epoch [33/100], Step[342/526], Loss: 0.7859
Epoch [33/100], Step[343/526], Loss: 0.5440
Epoch [33/100], Step[344/526], Loss: 0.7327
Epoch [33/100], Step[345/526], Loss: 0.6522
Epoch [33/100], Step[346/526], Loss: 0.6933
Epoch [33/100], Step[347/526], Loss: 0.7058
Epoch [33/100], Step[348/526], Loss: 0.6360
Epoch [33/100], Step[349/526], Loss: 0.5858
Epoch [33/100], Step[350/526], Loss: 0.6734
Epoch [33/100], Step[351/526], Loss: 0.7166
Epoch [33/100], Step[352/526], Loss: 0.6159
Epoch [33/100], Step[353/526], Loss: 0.6847
Epoch [33/100], Step[354/526], Loss: 0.6718
Epoch [33/100], Step[355/526], Loss: 0.6726
Epoch [33/100], Step[356/526], Loss: 0.7033
Epoch [33/100], Step[357/526], Loss: 0.6587
Epoch [33/100], Step[358/526], Loss: 0.6972
Epoch [33/100], Step[359/526], Loss: 0.6556
Epoch [33/100], Step[360/526], Loss: 0.6778
Epoch [33/100], Step[361/526], Loss: 0.7206
Epoch [33/100], Step[362/526], Loss: 0.7061
Epoch [33/100], Step[363/526], Loss: 0.6926
Epoch [33/100], Step[364/526], Loss: 0.7121
Epoch [33/100], Step[365/526], Loss: 0.7123
Epoch [33/100], Step[366/526], Loss: 0.6856
Epoch [33/100], Step[367/526], Loss: 0.6893
Epoch [33/100], Step[368/526], Loss: 0.6523
Epoch [33/100], Step[369/526], Loss: 0.6593
Epoch [33/100], Step[370/526], Loss: 0.6213
Epoch [33/100], Step[371/526], Loss: 0.7346
Epoch [33/100], Step[372/526], Loss: 0.6433
Epoch [33/100], Step[373/526], Loss: 0.6762
Epoch [33/100], Step[374/526], Loss: 0.7003
Epoch [33/100], Step[375/526], Loss: 0.6490
Epoch [33/100], Step[376/526], Loss: 0.6556
Epoch [33/100], Step[377/526], Loss: 0.6860
Epoch [33/100], Step[378/526], Loss: 0.6927
Epoch [33/100], Step[379/526], Loss: 0.7426
Epoch [33/100], Step[380/526], Loss: 0.6172
Epoch [33/100], Step[381/526], Loss: 0.6003
Epoch [33/100], Step[382/526], Loss: 0.6715
Epoch [33/100], Step[383/526], Loss: 0.6905
Epoch [33/100], Step[384/526], Loss: 0.6314
Epoch [33/100], Step[385/526], Loss: 0.6347
Epoch [33/100], Step[386/526], Loss: 0.6623
Epoch [33/100], Step[387/526], Loss: 0.6621
Epoch [33/100], Step[388/526], Loss: 0.5983
Epoch [33/100], Step[389/526], Loss: 0.7205
Epoch [33/100], Step[390/526], Loss: 0.5945
Epoch [33/100], Step[391/526], Loss: 0.6540
Epoch [33/100], Step[392/526], Loss: 0.6997
Epoch [33/100], Step[393/526], Loss: 0.5887
Epoch [33/100], Step[394/526], Loss: 0.5206
Epoch [33/100], Step[395/526], Loss: 0.6276
Epoch [33/100], Step[396/526], Loss: 0.6313
Epoch [33/100], Step[397/526], Loss: 0.4795
Epoch [33/100], Step[398/526], Loss: 0.6038
Epoch [33/100], Step[399/526], Loss: 0.6521
Epoch [33/100], Step[400/526], Loss: 0.4778
Epoch [33/100], Step[401/526], Loss: 0.5950
Epoch [33/100], Step[402/526], Loss: 0.6398
Epoch [33/100], Step[403/526], Loss: 0.7470
Epoch [33/100], Step[404/526], Loss: 0.4816
Epoch [33/100], Step[405/526], Loss: 0.5054
Epoch [33/100], Step[406/526], Loss: 0.6288
Epoch [33/100], Step[407/526], Loss: 0.7506
Epoch [33/100], Step[408/526], Loss: 0.6528
Epoch [33/100], Step[409/526], Loss: 0.4660
Epoch [33/100], Step[410/526], Loss: 0.4936
Epoch [33/100], Step[411/526], Loss: 0.5362
Epoch [33/100], Step[412/526], Loss: 0.5913
Epoch [33/100], Step[413/526], Loss: 0.5995
Epoch [33/100], Step[414/526], Loss: 0.6405
Epoch [33/100], Step[415/526], Loss: 0.6088
Epoch [33/100], Step[416/526], Loss: 0.5397
Epoch [33/100], Step[417/526], Loss: 0.4464
Epoch [33/100], Step[418/526], Loss: 0.7457
Epoch [33/100], Step[419/526], Loss: 0.6852
Epoch [33/100], Step[420/526], Loss: 0.6839
Epoch [33/100], Step[421/526], Loss: 0.6355
Epoch [33/100], Step[422/526], Loss: 0.7853
Epoch [33/100], Step[423/526], Loss: 0.7021
Epoch [33/100], Step[424/526], Loss: 0.7433
Epoch [33/100], Step[425/526], Loss: 0.7056
Epoch [33/100], Step[426/526], Loss: 0.7636
Epoch [33/100], Step[427/526], Loss: 0.7042
Epoch [33/100], Step[428/526], Loss: 0.7153
Epoch [33/100], Step[429/526], Loss: 0.7369
Epoch [33/100], Step[430/526], Loss: 0.7925
Epoch [33/100], Step[431/526], Loss: 0.7050
Epoch [33/100], Step[432/526], Loss: 0.7284
Epoch [33/100], Step[433/526], Loss: 0.6777
Epoch [33/100], Step[434/526], Loss: 0.6149
Epoch [33/100], Step[435/526], Loss: 0.7800
Epoch [33/100], Step[436/526], Loss: 0.8112
Epoch [33/100], Step[437/526], Loss: 0.5143
Epoch [33/100], Step[438/526], Loss: 0.3673
Epoch [33/100], Step[439/526], Loss: 0.7260
Epoch [33/100], Step[440/526], Loss: 0.6858
Epoch [33/100], Step[441/526], Loss: 0.7066
Epoch [33/100], Step[442/526], Loss: 0.6416
Epoch [33/100], Step[443/526], Loss: 0.6708
Epoch [33/100], Step[444/526], Loss: 0.7553
Epoch [33/100], Step[445/526], Loss: 0.7026
Epoch [33/100], Step[446/526], Loss: 0.7163
Epoch [33/100], Step[447/526], Loss: 0.7166
Epoch [33/100], Step[448/526], Loss: 0.7256
Epoch [33/100], Step[449/526], Loss: 0.6762
Epoch [33/100], Step[450/526], Loss: 0.6113
Epoch [33/100], Step[451/526], Loss: 0.6603
Epoch [33/100], Step[452/526], Loss: 0.7270
Epoch [33/100], Step[453/526], Loss: 0.7140
Epoch [33/100], Step[454/526], Loss: 0.8148
Epoch [33/100], Step[455/526], Loss: 0.6592
Epoch [33/100], Step[456/526], Loss: 0.6323
Epoch [33/100], Step[457/526], Loss: 0.7031
Epoch [33/100], Step[458/526], Loss: 0.6674
Epoch [33/100], Step[459/526], Loss: 0.6651
Epoch [33/100], Step[460/526], Loss: 0.6435
Epoch [33/100], Step[461/526], Loss: 0.6150
Epoch [33/100], Step[462/526], Loss: 0.6738
Epoch [33/100], Step[463/526], Loss: 0.6526
Epoch [33/100], Step[464/526], Loss: 0.6456
Epoch [33/100], Step[465/526], Loss: 0.6617
Epoch [33/100], Step[466/526], Loss: 0.6621
Epoch [33/100], Step[467/526], Loss: 0.6487
Epoch [33/100], Step[468/526], Loss: 0.6292
Epoch [33/100], Step[469/526], Loss: 0.8031
Epoch [33/100], Step[470/526], Loss: 0.6572
Epoch [33/100], Step[471/526], Loss: 0.6953
Epoch [33/100], Step[472/526], Loss: 0.6703
Epoch [33/100], Step[473/526], Loss: 0.6801
Epoch [33/100], Step[474/526], Loss: 0.6779
Epoch [33/100], Step[475/526], Loss: 0.8282
Epoch [33/100], Step[476/526], Loss: 0.7514
Epoch [33/100], Step[477/526], Loss: 0.7044
Epoch [33/100], Step[478/526], Loss: 0.6962
Epoch [33/100], Step[479/526], Loss: 0.6636
Epoch [33/100], Step[480/526], Loss: 0.7365
Epoch [33/100], Step[481/526], Loss: 0.7233
Epoch [33/100], Step[482/526], Loss: 0.6229
Epoch [33/100], Step[483/526], Loss: 0.5469
Epoch [33/100], Step[484/526], Loss: 0.6979
Epoch [33/100], Step[485/526], Loss: 0.7951
Epoch [33/100], Step[486/526], Loss: 0.7239
Epoch [33/100], Step[487/526], Loss: 0.7585
Epoch [33/100], Step[488/526], Loss: 0.6908
Epoch [33/100], Step[489/526], Loss: 0.6336
Epoch [33/100], Step[490/526], Loss: 0.6162
Epoch [33/100], Step[491/526], Loss: 0.7000
Epoch [33/100], Step[492/526], Loss: 0.6523
Epoch [33/100], Step[493/526], Loss: 0.6462
Epoch [33/100], Step[494/526], Loss: 0.6632
Epoch [33/100], Step[495/526], Loss: 0.6896
Epoch [33/100], Step[496/526], Loss: 0.6652
Epoch [33/100], Step[497/526], Loss: 0.6391
Epoch [33/100], Step[498/526], Loss: 0.6780
Epoch [33/100], Step[499/526], Loss: 0.6722
Epoch [33/100], Step[500/526], Loss: 0.6765
Epoch [33/100], Step[501/526], Loss: 0.6577
Epoch [33/100], Step[502/526], Loss: 0.6980
Epoch [33/100], Step[503/526], Loss: 0.7113
Epoch [33/100], Step[504/526], Loss: 0.7002
Epoch [33/100], Step[505/526], Loss: 0.7089
Epoch [33/100], Step[506/526], Loss: 0.6837
Epoch [33/100], Step[507/526], Loss: 0.6735
Epoch [33/100], Step[508/526], Loss: 0.7037
Epoch [33/100], Step[509/526], Loss: 0.6567
Epoch [33/100], Step[510/526], Loss: 0.7032
Epoch [33/100], Step[511/526], Loss: 0.6447
Epoch [33/100], Step[512/526], Loss: 0.6740
Epoch [33/100], Step[513/526], Loss: 0.6462
Epoch [33/100], Step[514/526], Loss: 0.6542
Epoch [33/100], Step[515/526], Loss: 0.5825
Epoch [33/100], Step[516/526], Loss: 0.7508
Epoch [33/100], Step[517/526], Loss: 0.6876
Epoch [33/100], Step[518/526], Loss: 0.7344
Epoch [33/100], Step[519/526], Loss: 0.7124
Epoch [33/100], Step[520/526], Loss: 0.6757
Epoch [33/100], Step[521/526], Loss: 0.6718
Epoch [33/100], Step[522/526], Loss: 0.6081
Epoch [33/100], Step[523/526], Loss: 0.6460
Epoch [33/100], Step[524/526], Loss: 0.6461
Epoch [33/100], Step[525/526], Loss: 0.7406
Epoch [33/100], Step[526/526], Loss: 0.7045
Epoch [34/100], Step[1/526], Loss: 0.6594
Epoch [34/100], Step[2/526], Loss: 0.6454
Epoch [34/100], Step[3/526], Loss: 0.6789
Epoch [34/100], Step[4/526], Loss: 0.6347
Epoch [34/100], Step[5/526], Loss: 0.7343
Epoch [34/100], Step[6/526], Loss: 0.7411
Epoch [34/100], Step[7/526], Loss: 0.6954
Epoch [34/100], Step[8/526], Loss: 0.6805
Epoch [34/100], Step[9/526], Loss: 0.7083
Epoch [34/100], Step[10/526], Loss: 0.6766
Epoch [34/100], Step[11/526], Loss: 0.6685
Epoch [34/100], Step[12/526], Loss: 0.7181
Epoch [34/100], Step[13/526], Loss: 0.6360
Epoch [34/100], Step[14/526], Loss: 0.6595
Epoch [34/100], Step[15/526], Loss: 0.6870
Epoch [34/100], Step[16/526], Loss: 0.7024
Epoch [34/100], Step[17/526], Loss: 0.7087
Epoch [34/100], Step[18/526], Loss: 0.6734
Epoch [34/100], Step[19/526], Loss: 0.6682
Epoch [34/100], Step[20/526], Loss: 0.7075
Epoch [34/100], Step[21/526], Loss: 0.7487
Epoch [34/100], Step[22/526], Loss: 0.7286
Epoch [34/100], Step[23/526], Loss: 0.7348
Epoch [34/100], Step[24/526], Loss: 0.7131
Epoch [34/100], Step[25/526], Loss: 0.6915
Epoch [34/100], Step[26/526], Loss: 0.6387
Epoch [34/100], Step[27/526], Loss: 0.6869
Epoch [34/100], Step[28/526], Loss: 0.6880
Epoch [34/100], Step[29/526], Loss: 0.6613
Epoch [34/100], Step[30/526], Loss: 0.6921
Epoch [34/100], Step[31/526], Loss: 0.7025
Epoch [34/100], Step[32/526], Loss: 0.6672
Epoch [34/100], Step[33/526], Loss: 0.7069
Epoch [34/100], Step[34/526], Loss: 0.6927
Epoch [34/100], Step[35/526], Loss: 0.7097
Epoch [34/100], Step[36/526], Loss: 0.6965
Epoch [34/100], Step[37/526], Loss: 0.6929
Epoch [34/100], Step[38/526], Loss: 0.7085
Epoch [34/100], Step[39/526], Loss: 0.6964
Epoch [34/100], Step[40/526], Loss: 0.7205
Epoch [34/100], Step[41/526], Loss: 0.6581
Epoch [34/100], Step[42/526], Loss: 0.7268
Epoch [34/100], Step[43/526], Loss: 0.7180
Epoch [34/100], Step[44/526], Loss: 0.6839
Epoch [34/100], Step[45/526], Loss: 0.6876
Epoch [34/100], Step[46/526], Loss: 0.6883
Epoch [34/100], Step[47/526], Loss: 0.7077
Epoch [34/100], Step[48/526], Loss: 0.7253
Epoch [34/100], Step[49/526], Loss: 0.7070
Epoch [34/100], Step[50/526], Loss: 0.7122
Epoch [34/100], Step[51/526], Loss: 0.6944
Epoch [34/100], Step[52/526], Loss: 0.6760
Epoch [34/100], Step[53/526], Loss: 0.7179
Epoch [34/100], Step[54/526], Loss: 0.7023
Epoch [34/100], Step[55/526], Loss: 0.6892
Epoch [34/100], Step[56/526], Loss: 0.7001
Epoch [34/100], Step[57/526], Loss: 0.6845
Epoch [34/100], Step[58/526], Loss: 0.6754
Epoch [34/100], Step[59/526], Loss: 0.6602
Epoch [34/100], Step[60/526], Loss: 0.6697
Epoch [34/100], Step[61/526], Loss: 0.6492
Epoch [34/100], Step[62/526], Loss: 0.6968
Epoch [34/100], Step[63/526], Loss: 0.6859
Epoch [34/100], Step[64/526], Loss: 0.6816
Epoch [34/100], Step[65/526], Loss: 0.7228
Epoch [34/100], Step[66/526], Loss: 0.6841
Epoch [34/100], Step[67/526], Loss: 0.6633
Epoch [34/100], Step[68/526], Loss: 0.6512
Epoch [34/100], Step[69/526], Loss: 0.6968
Epoch [34/100], Step[70/526], Loss: 0.6850
Epoch [34/100], Step[71/526], Loss: 0.6655
Epoch [34/100], Step[72/526], Loss: 0.6811
Epoch [34/100], Step[73/526], Loss: 0.7108
Epoch [34/100], Step[74/526], Loss: 0.6627
Epoch [34/100], Step[75/526], Loss: 0.7055
Epoch [34/100], Step[76/526], Loss: 0.6905
Epoch [34/100], Step[77/526], Loss: 0.6946
Epoch [34/100], Step[78/526], Loss: 0.7095
Epoch [34/100], Step[79/526], Loss: 0.6926
Epoch [34/100], Step[80/526], Loss: 0.6922
Epoch [34/100], Step[81/526], Loss: 0.7040
Epoch [34/100], Step[82/526], Loss: 0.7272
Epoch [34/100], Step[83/526], Loss: 0.7073
Epoch [34/100], Step[84/526], Loss: 0.6972
Epoch [34/100], Step[85/526], Loss: 0.6624
Epoch [34/100], Step[86/526], Loss: 0.7070
Epoch [34/100], Step[87/526], Loss: 0.6804
Epoch [34/100], Step[88/526], Loss: 0.6890
Epoch [34/100], Step[89/526], Loss: 0.7211
Epoch [34/100], Step[90/526], Loss: 0.6863
Epoch [34/100], Step[91/526], Loss: 0.6799
Epoch [34/100], Step[92/526], Loss: 0.6788
Epoch [34/100], Step[93/526], Loss: 0.6851
Epoch [34/100], Step[94/526], Loss: 0.8030
Epoch [34/100], Step[95/526], Loss: 0.7163
Epoch [34/100], Step[96/526], Loss: 0.6272
Epoch [34/100], Step[97/526], Loss: 0.5944
Epoch [34/100], Step[98/526], Loss: 0.6923
Epoch [34/100], Step[99/526], Loss: 0.6880
Epoch [34/100], Step[100/526], Loss: 0.6762
Epoch [34/100], Step[101/526], Loss: 0.6568
Epoch [34/100], Step[102/526], Loss: 0.6270
Epoch [34/100], Step[103/526], Loss: 0.6936
Epoch [34/100], Step[104/526], Loss: 0.6433
Epoch [34/100], Step[105/526], Loss: 0.6382
Epoch [34/100], Step[106/526], Loss: 0.6881
Epoch [34/100], Step[107/526], Loss: 0.6416
Epoch [34/100], Step[108/526], Loss: 0.5821
Epoch [34/100], Step[109/526], Loss: 0.6795
Epoch [34/100], Step[110/526], Loss: 0.6905
Epoch [34/100], Step[111/526], Loss: 0.5882
Epoch [34/100], Step[112/526], Loss: 0.7363
Epoch [34/100], Step[113/526], Loss: 0.6067
Epoch [34/100], Step[114/526], Loss: 0.6595
Epoch [34/100], Step[115/526], Loss: 0.6054
Epoch [34/100], Step[116/526], Loss: 0.6239
Epoch [34/100], Step[117/526], Loss: 0.6576
Epoch [34/100], Step[118/526], Loss: 0.7527
Epoch [34/100], Step[119/526], Loss: 0.6748
Epoch [34/100], Step[120/526], Loss: 0.6790
Epoch [34/100], Step[121/526], Loss: 0.6914
Epoch [34/100], Step[122/526], Loss: 0.6293
Epoch [34/100], Step[123/526], Loss: 0.6477
Epoch [34/100], Step[124/526], Loss: 0.6725
Epoch [34/100], Step[125/526], Loss: 0.6349
Epoch [34/100], Step[126/526], Loss: 0.7158
Epoch [34/100], Step[127/526], Loss: 0.6730
Epoch [34/100], Step[128/526], Loss: 0.6447
Epoch [34/100], Step[129/526], Loss: 0.5929
Epoch [34/100], Step[130/526], Loss: 0.6047
Epoch [34/100], Step[131/526], Loss: 0.6720
Epoch [34/100], Step[132/526], Loss: 0.7198
Epoch [34/100], Step[133/526], Loss: 0.6761
Epoch [34/100], Step[134/526], Loss: 0.6292
Epoch [34/100], Step[135/526], Loss: 0.6475
Epoch [34/100], Step[136/526], Loss: 0.5691
Epoch [34/100], Step[137/526], Loss: 0.6409
Epoch [34/100], Step[138/526], Loss: 0.6499
Epoch [34/100], Step[139/526], Loss: 0.7092
Epoch [34/100], Step[140/526], Loss: 0.5913
Epoch [34/100], Step[141/526], Loss: 0.6845
Epoch [34/100], Step[142/526], Loss: 0.6642
Epoch [34/100], Step[143/526], Loss: 0.6895
Epoch [34/100], Step[144/526], Loss: 0.7783
Epoch [34/100], Step[145/526], Loss: 0.5508
Epoch [34/100], Step[146/526], Loss: 0.5107
Epoch [34/100], Step[147/526], Loss: 0.4573
Epoch [34/100], Step[148/526], Loss: 0.5906
Epoch [34/100], Step[149/526], Loss: 0.4946
Epoch [34/100], Step[150/526], Loss: 0.6052
Epoch [34/100], Step[151/526], Loss: 0.5603
Epoch [34/100], Step[152/526], Loss: 0.6225
Epoch [34/100], Step[153/526], Loss: 0.6289
Epoch [34/100], Step[154/526], Loss: 0.7271
Epoch [34/100], Step[155/526], Loss: 0.7293
Epoch [34/100], Step[156/526], Loss: 0.5252
Epoch [34/100], Step[157/526], Loss: 0.2690
Epoch [34/100], Step[158/526], Loss: 0.6057
Epoch [34/100], Step[159/526], Loss: 0.6737
Epoch [34/100], Step[160/526], Loss: 0.5467
Epoch [34/100], Step[161/526], Loss: 0.9838
Epoch [34/100], Step[162/526], Loss: 0.6943
Epoch [34/100], Step[163/526], Loss: 0.7161
Epoch [34/100], Step[164/526], Loss: 0.6190
Epoch [34/100], Step[165/526], Loss: 0.7219
Epoch [34/100], Step[166/526], Loss: 0.5038
Epoch [34/100], Step[167/526], Loss: 0.5357
Epoch [34/100], Step[168/526], Loss: 0.6824
Epoch [34/100], Step[169/526], Loss: 0.7513
Epoch [34/100], Step[170/526], Loss: 0.7004
Epoch [34/100], Step[171/526], Loss: 0.7273
Epoch [34/100], Step[172/526], Loss: 0.7230
Epoch [34/100], Step[173/526], Loss: 0.8159
Epoch [34/100], Step[174/526], Loss: 0.6190
Epoch [34/100], Step[175/526], Loss: 0.6580
Epoch [34/100], Step[176/526], Loss: 0.6326
Epoch [34/100], Step[177/526], Loss: 0.6582
Epoch [34/100], Step[178/526], Loss: 0.6956
Epoch [34/100], Step[179/526], Loss: 0.6380
Epoch [34/100], Step[180/526], Loss: 0.6755
Epoch [34/100], Step[181/526], Loss: 0.6410
Epoch [34/100], Step[182/526], Loss: 0.6859
Epoch [34/100], Step[183/526], Loss: 0.5299
Epoch [34/100], Step[184/526], Loss: 0.5969
Epoch [34/100], Step[185/526], Loss: 0.5929
Epoch [34/100], Step[186/526], Loss: 0.6615
Epoch [34/100], Step[187/526], Loss: 0.7518
Epoch [34/100], Step[188/526], Loss: 0.7019
Epoch [34/100], Step[189/526], Loss: 0.6777
Epoch [34/100], Step[190/526], Loss: 0.6032
Epoch [34/100], Step[191/526], Loss: 0.7195
Epoch [34/100], Step[192/526], Loss: 0.7752
Epoch [34/100], Step[193/526], Loss: 0.6552
Epoch [34/100], Step[194/526], Loss: 0.6134
Epoch [34/100], Step[195/526], Loss: 0.6507
Epoch [34/100], Step[196/526], Loss: 0.7364
Epoch [34/100], Step[197/526], Loss: 0.6843
Epoch [34/100], Step[198/526], Loss: 0.6331
Epoch [34/100], Step[199/526], Loss: 0.7319
Epoch [34/100], Step[200/526], Loss: 0.6713
Epoch [34/100], Step[201/526], Loss: 0.6771
Epoch [34/100], Step[202/526], Loss: 0.7471
Epoch [34/100], Step[203/526], Loss: 0.7056
Epoch [34/100], Step[204/526], Loss: 0.7284
Epoch [34/100], Step[205/526], Loss: 0.7051
Epoch [34/100], Step[206/526], Loss: 0.6822
Epoch [34/100], Step[207/526], Loss: 0.7115
Epoch [34/100], Step[208/526], Loss: 0.6820
Epoch [34/100], Step[209/526], Loss: 0.6834
Epoch [34/100], Step[210/526], Loss: 0.7719
Epoch [34/100], Step[211/526], Loss: 0.6359
Epoch [34/100], Step[212/526], Loss: 0.6880
Epoch [34/100], Step[213/526], Loss: 0.7205
Epoch [34/100], Step[214/526], Loss: 0.7475
Epoch [34/100], Step[215/526], Loss: 0.6953
Epoch [34/100], Step[216/526], Loss: 0.6789
Epoch [34/100], Step[217/526], Loss: 0.6759
Epoch [34/100], Step[218/526], Loss: 0.6980
Epoch [34/100], Step[219/526], Loss: 0.6956
Epoch [34/100], Step[220/526], Loss: 0.7293
Epoch [34/100], Step[221/526], Loss: 0.6957
Epoch [34/100], Step[222/526], Loss: 0.7455
Epoch [34/100], Step[223/526], Loss: 0.6775
Epoch [34/100], Step[224/526], Loss: 0.6835
Epoch [34/100], Step[225/526], Loss: 0.7246
Epoch [34/100], Step[226/526], Loss: 0.6775
Epoch [34/100], Step[227/526], Loss: 0.6722
Epoch [34/100], Step[228/526], Loss: 0.6651
Epoch [34/100], Step[229/526], Loss: 0.6889
Epoch [34/100], Step[230/526], Loss: 0.6611
Epoch [34/100], Step[231/526], Loss: 0.6660
Epoch [34/100], Step[232/526], Loss: 0.7087
Epoch [34/100], Step[233/526], Loss: 0.6854
Epoch [34/100], Step[234/526], Loss: 0.6812
Epoch [34/100], Step[235/526], Loss: 0.7080
Epoch [34/100], Step[236/526], Loss: 0.6925
Epoch [34/100], Step[237/526], Loss: 0.7181
Epoch [34/100], Step[238/526], Loss: 0.6850
Epoch [34/100], Step[239/526], Loss: 0.6714
Epoch [34/100], Step[240/526], Loss: 0.7257
Epoch [34/100], Step[241/526], Loss: 0.6968
Epoch [34/100], Step[242/526], Loss: 0.7090
Epoch [34/100], Step[243/526], Loss: 0.6258
Epoch [34/100], Step[244/526], Loss: 0.6529
Epoch [34/100], Step[245/526], Loss: 0.6429
Epoch [34/100], Step[246/526], Loss: 0.6662
Epoch [34/100], Step[247/526], Loss: 0.6244
Epoch [34/100], Step[248/526], Loss: 0.6538
Epoch [34/100], Step[249/526], Loss: 0.6662
Epoch [34/100], Step[250/526], Loss: 0.6799
Epoch [34/100], Step[251/526], Loss: 0.7007
Epoch [34/100], Step[252/526], Loss: 0.6934
Epoch [34/100], Step[253/526], Loss: 0.6316
Epoch [34/100], Step[254/526], Loss: 0.6636
Epoch [34/100], Step[255/526], Loss: 0.6051
Epoch [34/100], Step[256/526], Loss: 0.6899
Epoch [34/100], Step[257/526], Loss: 0.6669
Epoch [34/100], Step[258/526], Loss: 0.6319
Epoch [34/100], Step[259/526], Loss: 0.6844
Epoch [34/100], Step[260/526], Loss: 0.7364
Epoch [34/100], Step[261/526], Loss: 0.7479
Epoch [34/100], Step[262/526], Loss: 0.6809
Epoch [34/100], Step[263/526], Loss: 0.6659
Epoch [34/100], Step[264/526], Loss: 0.6470
Epoch [34/100], Step[265/526], Loss: 0.6379
Epoch [34/100], Step[266/526], Loss: 0.6351
Epoch [34/100], Step[267/526], Loss: 0.5005
Epoch [34/100], Step[268/526], Loss: 0.5490
Epoch [34/100], Step[269/526], Loss: 0.4609
Epoch [34/100], Step[270/526], Loss: 0.3932
Epoch [34/100], Step[271/526], Loss: 0.5178
Epoch [34/100], Step[272/526], Loss: 0.5352
Epoch [34/100], Step[273/526], Loss: 0.6298
Epoch [34/100], Step[274/526], Loss: 0.4384
Epoch [34/100], Step[275/526], Loss: 0.4220
Epoch [34/100], Step[276/526], Loss: 0.4702
Epoch [34/100], Step[277/526], Loss: 0.4294
Epoch [34/100], Step[278/526], Loss: 0.4553
Epoch [34/100], Step[279/526], Loss: 0.4054
Epoch [34/100], Step[280/526], Loss: 0.4489
Epoch [34/100], Step[281/526], Loss: 0.6258
Epoch [34/100], Step[282/526], Loss: 0.3608
Epoch [34/100], Step[283/526], Loss: 0.3660
Epoch [34/100], Step[284/526], Loss: 0.3976
Epoch [34/100], Step[285/526], Loss: 0.2776
Epoch [34/100], Step[286/526], Loss: 0.6985
Epoch [34/100], Step[287/526], Loss: 0.4815
Epoch [34/100], Step[288/526], Loss: 0.4349
Epoch [34/100], Step[289/526], Loss: 0.6148
Epoch [34/100], Step[290/526], Loss: 0.4253
Epoch [34/100], Step[291/526], Loss: 0.4834
Epoch [34/100], Step[292/526], Loss: 0.2552
Epoch [34/100], Step[293/526], Loss: 0.3094
Epoch [34/100], Step[294/526], Loss: 0.3231
Epoch [34/100], Step[295/526], Loss: 0.4213
Epoch [34/100], Step[296/526], Loss: 0.6201
Epoch [34/100], Step[297/526], Loss: 0.2899
Epoch [34/100], Step[298/526], Loss: 0.2908
Epoch [34/100], Step[299/526], Loss: 0.2424
Epoch [34/100], Step[300/526], Loss: 0.3024
Epoch [34/100], Step[301/526], Loss: 0.6081
Epoch [34/100], Step[302/526], Loss: 0.3187
Epoch [34/100], Step[303/526], Loss: 0.4782
Epoch [34/100], Step[304/526], Loss: 0.2566
Epoch [34/100], Step[305/526], Loss: 0.2606
Epoch [34/100], Step[306/526], Loss: 0.5748
Epoch [34/100], Step[307/526], Loss: 0.8819
Epoch [34/100], Step[308/526], Loss: 1.3096
Epoch [34/100], Step[309/526], Loss: 0.8463
Epoch [34/100], Step[310/526], Loss: 0.9625
Epoch [34/100], Step[311/526], Loss: 0.8195
Epoch [34/100], Step[312/526], Loss: 0.4945
Epoch [34/100], Step[313/526], Loss: 0.4822
Epoch [34/100], Step[314/526], Loss: 0.6551
Epoch [34/100], Step[315/526], Loss: 0.6992
Epoch [34/100], Step[316/526], Loss: 0.4915
Epoch [34/100], Step[317/526], Loss: 0.3224
Epoch [34/100], Step[318/526], Loss: 0.7592
Epoch [34/100], Step[319/526], Loss: 0.3535
Epoch [34/100], Step[320/526], Loss: 0.6025
Epoch [34/100], Step[321/526], Loss: 0.7110
Epoch [34/100], Step[322/526], Loss: 0.2671
Epoch [34/100], Step[323/526], Loss: 0.6121
Epoch [34/100], Step[324/526], Loss: 0.6578
Epoch [34/100], Step[325/526], Loss: 0.5759
Epoch [34/100], Step[326/526], Loss: 0.7695
Epoch [34/100], Step[327/526], Loss: 0.7318
Epoch [34/100], Step[328/526], Loss: 0.9216
Epoch [34/100], Step[329/526], Loss: 1.2569
Epoch [34/100], Step[330/526], Loss: 1.0334
Epoch [34/100], Step[331/526], Loss: 0.7939
Epoch [34/100], Step[332/526], Loss: 0.8456
Epoch [34/100], Step[333/526], Loss: 0.7803
Epoch [34/100], Step[334/526], Loss: 0.7768
Epoch [34/100], Step[335/526], Loss: 0.7992
Epoch [34/100], Step[336/526], Loss: 0.6989
Epoch [34/100], Step[337/526], Loss: 0.5958
Epoch [34/100], Step[338/526], Loss: 0.7045
Epoch [34/100], Step[339/526], Loss: 0.6451
Epoch [34/100], Step[340/526], Loss: 0.7246
Epoch [34/100], Step[341/526], Loss: 0.7764
Epoch [34/100], Step[342/526], Loss: 0.7847
Epoch [34/100], Step[343/526], Loss: 0.5435
Epoch [34/100], Step[344/526], Loss: 0.7318
Epoch [34/100], Step[345/526], Loss: 0.6518
Epoch [34/100], Step[346/526], Loss: 0.6820
Epoch [34/100], Step[347/526], Loss: 0.7059
Epoch [34/100], Step[348/526], Loss: 0.6357
Epoch [34/100], Step[349/526], Loss: 0.5773
Epoch [34/100], Step[350/526], Loss: 0.6735
Epoch [34/100], Step[351/526], Loss: 0.7159
Epoch [34/100], Step[352/526], Loss: 0.6058
Epoch [34/100], Step[353/526], Loss: 0.6845
Epoch [34/100], Step[354/526], Loss: 0.6711
Epoch [34/100], Step[355/526], Loss: 0.6722
Epoch [34/100], Step[356/526], Loss: 0.7033
Epoch [34/100], Step[357/526], Loss: 0.6583
Epoch [34/100], Step[358/526], Loss: 0.6971
Epoch [34/100], Step[359/526], Loss: 0.6513
Epoch [34/100], Step[360/526], Loss: 0.6748
Epoch [34/100], Step[361/526], Loss: 0.7208
Epoch [34/100], Step[362/526], Loss: 0.7066
Epoch [34/100], Step[363/526], Loss: 0.6925
Epoch [34/100], Step[364/526], Loss: 0.7124
Epoch [34/100], Step[365/526], Loss: 0.7354
Epoch [34/100], Step[366/526], Loss: 0.7055
Epoch [34/100], Step[367/526], Loss: 0.6842
Epoch [34/100], Step[368/526], Loss: 0.6462
Epoch [34/100], Step[369/526], Loss: 0.6670
Epoch [34/100], Step[370/526], Loss: 1.1927
Epoch [34/100], Step[371/526], Loss: 0.7360
Epoch [34/100], Step[372/526], Loss: 0.6417
Epoch [34/100], Step[373/526], Loss: 0.6758
Epoch [34/100], Step[374/526], Loss: 0.7004
Epoch [34/100], Step[375/526], Loss: 0.6495
Epoch [34/100], Step[376/526], Loss: 0.6476
Epoch [34/100], Step[377/526], Loss: 0.6858
Epoch [34/100], Step[378/526], Loss: 0.6939
Epoch [34/100], Step[379/526], Loss: 0.7450
Epoch [34/100], Step[380/526], Loss: 0.6146
Epoch [34/100], Step[381/526], Loss: 0.5984
Epoch [34/100], Step[382/526], Loss: 0.6707
Epoch [34/100], Step[383/526], Loss: 0.7327
Epoch [34/100], Step[384/526], Loss: 0.6301
Epoch [34/100], Step[385/526], Loss: 0.6353
Epoch [34/100], Step[386/526], Loss: 0.6622
Epoch [34/100], Step[387/526], Loss: 0.6631
Epoch [34/100], Step[388/526], Loss: 0.6004
Epoch [34/100], Step[389/526], Loss: 0.7168
Epoch [34/100], Step[390/526], Loss: 0.5973
Epoch [34/100], Step[391/526], Loss: 0.6546
Epoch [34/100], Step[392/526], Loss: 0.6998
Epoch [34/100], Step[393/526], Loss: 0.5891
Epoch [34/100], Step[394/526], Loss: 0.5213
Epoch [34/100], Step[395/526], Loss: 0.6269
Epoch [34/100], Step[396/526], Loss: 0.6316
Epoch [34/100], Step[397/526], Loss: 0.4792
Epoch [34/100], Step[398/526], Loss: 0.6033
Epoch [34/100], Step[399/526], Loss: 0.6512
Epoch [34/100], Step[400/526], Loss: 0.4787
Epoch [34/100], Step[401/526], Loss: 0.5959
Epoch [34/100], Step[402/526], Loss: 0.6408
Epoch [34/100], Step[403/526], Loss: 0.7199
Epoch [34/100], Step[404/526], Loss: 0.4819
Epoch [34/100], Step[405/526], Loss: 0.5058
Epoch [34/100], Step[406/526], Loss: 0.6278
Epoch [34/100], Step[407/526], Loss: 0.7500
Epoch [34/100], Step[408/526], Loss: 0.6533
Epoch [34/100], Step[409/526], Loss: 0.4720
Epoch [34/100], Step[410/526], Loss: 0.4940
Epoch [34/100], Step[411/526], Loss: 0.5365
Epoch [34/100], Step[412/526], Loss: 0.5923
Epoch [34/100], Step[413/526], Loss: 0.6000
Epoch [34/100], Step[414/526], Loss: 0.6403
Epoch [34/100], Step[415/526], Loss: 0.6098
Epoch [34/100], Step[416/526], Loss: 0.5414
Epoch [34/100], Step[417/526], Loss: 0.4559
Epoch [34/100], Step[418/526], Loss: 0.7451
Epoch [34/100], Step[419/526], Loss: 0.6851
Epoch [34/100], Step[420/526], Loss: 0.6841
Epoch [34/100], Step[421/526], Loss: 0.6358
Epoch [34/100], Step[422/526], Loss: 0.7837
Epoch [34/100], Step[423/526], Loss: 0.7022
Epoch [34/100], Step[424/526], Loss: 0.7437
Epoch [34/100], Step[425/526], Loss: 0.7052
Epoch [34/100], Step[426/526], Loss: 0.7631
Epoch [34/100], Step[427/526], Loss: 0.7046
Epoch [34/100], Step[428/526], Loss: 0.7154
Epoch [34/100], Step[429/526], Loss: 0.7362
Epoch [34/100], Step[430/526], Loss: 0.7920
Epoch [34/100], Step[431/526], Loss: 0.7057
Epoch [34/100], Step[432/526], Loss: 0.7283
Epoch [34/100], Step[433/526], Loss: 0.6778
Epoch [34/100], Step[434/526], Loss: 0.6151
Epoch [34/100], Step[435/526], Loss: 0.7809
Epoch [34/100], Step[436/526], Loss: 0.8131
Epoch [34/100], Step[437/526], Loss: 0.5155
Epoch [34/100], Step[438/526], Loss: 0.3667
Epoch [34/100], Step[439/526], Loss: 0.7261
Epoch [34/100], Step[440/526], Loss: 0.6858
Epoch [34/100], Step[441/526], Loss: 0.7029
Epoch [34/100], Step[442/526], Loss: 0.6415
Epoch [34/100], Step[443/526], Loss: 0.6707
Epoch [34/100], Step[444/526], Loss: 0.7550
Epoch [34/100], Step[445/526], Loss: 0.7028
Epoch [34/100], Step[446/526], Loss: 0.7161
Epoch [34/100], Step[447/526], Loss: 0.7171
Epoch [34/100], Step[448/526], Loss: 0.7245
Epoch [34/100], Step[449/526], Loss: 0.6758
Epoch [34/100], Step[450/526], Loss: 0.6119
Epoch [34/100], Step[451/526], Loss: 0.6600
Epoch [34/100], Step[452/526], Loss: 0.7268
Epoch [34/100], Step[453/526], Loss: 0.7100
Epoch [34/100], Step[454/526], Loss: 0.8159
Epoch [34/100], Step[455/526], Loss: 0.6563
Epoch [34/100], Step[456/526], Loss: 0.6362
Epoch [34/100], Step[457/526], Loss: 0.6969
Epoch [34/100], Step[458/526], Loss: 0.6635
Epoch [34/100], Step[459/526], Loss: 0.6652
Epoch [34/100], Step[460/526], Loss: 0.6429
Epoch [34/100], Step[461/526], Loss: 0.6141
Epoch [34/100], Step[462/526], Loss: 0.6743
Epoch [34/100], Step[463/526], Loss: 0.6517
Epoch [34/100], Step[464/526], Loss: 0.6402
Epoch [34/100], Step[465/526], Loss: 0.6612
Epoch [34/100], Step[466/526], Loss: 0.6609
Epoch [34/100], Step[467/526], Loss: 0.6487
Epoch [34/100], Step[468/526], Loss: 0.6239
Epoch [34/100], Step[469/526], Loss: 0.8041
Epoch [34/100], Step[470/526], Loss: 0.6569
Epoch [34/100], Step[471/526], Loss: 0.6956
Epoch [34/100], Step[472/526], Loss: 0.6701
Epoch [34/100], Step[473/526], Loss: 0.6801
Epoch [34/100], Step[474/526], Loss: 0.6778
Epoch [34/100], Step[475/526], Loss: 0.8299
Epoch [34/100], Step[476/526], Loss: 0.7512
Epoch [34/100], Step[477/526], Loss: 0.6972
Epoch [34/100], Step[478/526], Loss: 0.6912
Epoch [34/100], Step[479/526], Loss: 0.6633
Epoch [34/100], Step[480/526], Loss: 0.7366
Epoch [34/100], Step[481/526], Loss: 0.7233
Epoch [34/100], Step[482/526], Loss: 0.6221
Epoch [34/100], Step[483/526], Loss: 0.5458
Epoch [34/100], Step[484/526], Loss: 0.6958
Epoch [34/100], Step[485/526], Loss: 0.7641
Epoch [34/100], Step[486/526], Loss: 0.7237
Epoch [34/100], Step[487/526], Loss: 0.7205
Epoch [34/100], Step[488/526], Loss: 0.7019
Epoch [34/100], Step[489/526], Loss: 0.6430
Epoch [34/100], Step[490/526], Loss: 0.6186
Epoch [34/100], Step[491/526], Loss: 0.6817
Epoch [34/100], Step[492/526], Loss: 0.6170
Epoch [34/100], Step[493/526], Loss: 0.6485
Epoch [34/100], Step[494/526], Loss: 0.6632
Epoch [34/100], Step[495/526], Loss: 0.6937
Epoch [34/100], Step[496/526], Loss: 0.6678
Epoch [34/100], Step[497/526], Loss: 0.6396
Epoch [34/100], Step[498/526], Loss: 0.6817
Epoch [34/100], Step[499/526], Loss: 0.6726
Epoch [34/100], Step[500/526], Loss: 0.6806
Epoch [34/100], Step[501/526], Loss: 0.6586
Epoch [34/100], Step[502/526], Loss: 0.7000
Epoch [34/100], Step[503/526], Loss: 0.7143
Epoch [34/100], Step[504/526], Loss: 0.6993
Epoch [34/100], Step[505/526], Loss: 0.7107
Epoch [34/100], Step[506/526], Loss: 0.6830
Epoch [34/100], Step[507/526], Loss: 0.6684
Epoch [34/100], Step[508/526], Loss: 0.7040
Epoch [34/100], Step[509/526], Loss: 0.6554
Epoch [34/100], Step[510/526], Loss: 0.7032
Epoch [34/100], Step[511/526], Loss: 0.6443
Epoch [34/100], Step[512/526], Loss: 0.6743
Epoch [34/100], Step[513/526], Loss: 0.6453
Epoch [34/100], Step[514/526], Loss: 0.6553
Epoch [34/100], Step[515/526], Loss: 0.5737
Epoch [34/100], Step[516/526], Loss: 0.7501
Epoch [34/100], Step[517/526], Loss: 0.6880
Epoch [34/100], Step[518/526], Loss: 0.7342
Epoch [34/100], Step[519/526], Loss: 0.7126
Epoch [34/100], Step[520/526], Loss: 0.6904
Epoch [34/100], Step[521/526], Loss: 0.6713
Epoch [34/100], Step[522/526], Loss: 0.6090
Epoch [34/100], Step[523/526], Loss: 0.6468
Epoch [34/100], Step[524/526], Loss: 0.6474
Epoch [34/100], Step[525/526], Loss: 0.7386
Epoch [34/100], Step[526/526], Loss: 0.7060
Epoch [35/100], Step[1/526], Loss: 0.6596
Epoch [35/100], Step[2/526], Loss: 0.6467
Epoch [35/100], Step[3/526], Loss: 0.6786
Epoch [35/100], Step[4/526], Loss: 0.6338
Epoch [35/100], Step[5/526], Loss: 0.7359
Epoch [35/100], Step[6/526], Loss: 0.7434
Epoch [35/100], Step[7/526], Loss: 0.6959
Epoch [35/100], Step[8/526], Loss: 0.6805
Epoch [35/100], Step[9/526], Loss: 0.7083
Epoch [35/100], Step[10/526], Loss: 0.6763
Epoch [35/100], Step[11/526], Loss: 0.6669
Epoch [35/100], Step[12/526], Loss: 0.7185
Epoch [35/100], Step[13/526], Loss: 0.6351
Epoch [35/100], Step[14/526], Loss: 0.6604
Epoch [35/100], Step[15/526], Loss: 0.6864
Epoch [35/100], Step[16/526], Loss: 0.7035
Epoch [35/100], Step[17/526], Loss: 0.7011
Epoch [35/100], Step[18/526], Loss: 0.6851
Epoch [35/100], Step[19/526], Loss: 0.6832
Epoch [35/100], Step[20/526], Loss: 0.7121
Epoch [35/100], Step[21/526], Loss: 0.7506
Epoch [35/100], Step[22/526], Loss: 0.7296
Epoch [35/100], Step[23/526], Loss: 0.7354
Epoch [35/100], Step[24/526], Loss: 0.7127
Epoch [35/100], Step[25/526], Loss: 0.6909
Epoch [35/100], Step[26/526], Loss: 0.6376
Epoch [35/100], Step[27/526], Loss: 0.6874
Epoch [35/100], Step[28/526], Loss: 0.6882
Epoch [35/100], Step[29/526], Loss: 0.6618
Epoch [35/100], Step[30/526], Loss: 0.6928
Epoch [35/100], Step[31/526], Loss: 0.7020
Epoch [35/100], Step[32/526], Loss: 0.6663
Epoch [35/100], Step[33/526], Loss: 0.7069
Epoch [35/100], Step[34/526], Loss: 0.6922
Epoch [35/100], Step[35/526], Loss: 0.7095
Epoch [35/100], Step[36/526], Loss: 0.6938
Epoch [35/100], Step[37/526], Loss: 0.6934
Epoch [35/100], Step[38/526], Loss: 0.7100
Epoch [35/100], Step[39/526], Loss: 0.6973
Epoch [35/100], Step[40/526], Loss: 0.7216
Epoch [35/100], Step[41/526], Loss: 0.6565
Epoch [35/100], Step[42/526], Loss: 0.7278
Epoch [35/100], Step[43/526], Loss: 0.7184
Epoch [35/100], Step[44/526], Loss: 0.6837
Epoch [35/100], Step[45/526], Loss: 0.6877
Epoch [35/100], Step[46/526], Loss: 0.6893
Epoch [35/100], Step[47/526], Loss: 0.7092
Epoch [35/100], Step[48/526], Loss: 0.7270
Epoch [35/100], Step[49/526], Loss: 0.7060
Epoch [35/100], Step[50/526], Loss: 0.7147
Epoch [35/100], Step[51/526], Loss: 0.6945
Epoch [35/100], Step[52/526], Loss: 0.6752
Epoch [35/100], Step[53/526], Loss: 0.7185
Epoch [35/100], Step[54/526], Loss: 0.7005
Epoch [35/100], Step[55/526], Loss: 0.6880
Epoch [35/100], Step[56/526], Loss: 0.7013
Epoch [35/100], Step[57/526], Loss: 0.6844
Epoch [35/100], Step[58/526], Loss: 0.6751
Epoch [35/100], Step[59/526], Loss: 0.6585
Epoch [35/100], Step[60/526], Loss: 0.6693
Epoch [35/100], Step[61/526], Loss: 0.6487
Epoch [35/100], Step[62/526], Loss: 0.6971
Epoch [35/100], Step[63/526], Loss: 0.6863
Epoch [35/100], Step[64/526], Loss: 0.6818
Epoch [35/100], Step[65/526], Loss: 0.7243
Epoch [35/100], Step[66/526], Loss: 0.6839
Epoch [35/100], Step[67/526], Loss: 0.6626
Epoch [35/100], Step[68/526], Loss: 0.6503
Epoch [35/100], Step[69/526], Loss: 0.6966
Epoch [35/100], Step[70/526], Loss: 0.6841
Epoch [35/100], Step[71/526], Loss: 0.6656
Epoch [35/100], Step[72/526], Loss: 0.6813
Epoch [35/100], Step[73/526], Loss: 0.7114
Epoch [35/100], Step[74/526], Loss: 0.6645
Epoch [35/100], Step[75/526], Loss: 0.7055
Epoch [35/100], Step[76/526], Loss: 0.6908
Epoch [35/100], Step[77/526], Loss: 0.6940
Epoch [35/100], Step[78/526], Loss: 0.7093
Epoch [35/100], Step[79/526], Loss: 0.6931
Epoch [35/100], Step[80/526], Loss: 0.6921
Epoch [35/100], Step[81/526], Loss: 0.7050
Epoch [35/100], Step[82/526], Loss: 0.7277
Epoch [35/100], Step[83/526], Loss: 0.7077
Epoch [35/100], Step[84/526], Loss: 0.6985
Epoch [35/100], Step[85/526], Loss: 0.6639
Epoch [35/100], Step[86/526], Loss: 0.7088
Epoch [35/100], Step[87/526], Loss: 0.6830
Epoch [35/100], Step[88/526], Loss: 0.6896
Epoch [35/100], Step[89/526], Loss: 0.7218
Epoch [35/100], Step[90/526], Loss: 0.6860
Epoch [35/100], Step[91/526], Loss: 0.6806
Epoch [35/100], Step[92/526], Loss: 0.6800
Epoch [35/100], Step[93/526], Loss: 0.6867
Epoch [35/100], Step[94/526], Loss: 0.8054
Epoch [35/100], Step[95/526], Loss: 0.7166
Epoch [35/100], Step[96/526], Loss: 0.6244
Epoch [35/100], Step[97/526], Loss: 0.5906
Epoch [35/100], Step[98/526], Loss: 0.6907
Epoch [35/100], Step[99/526], Loss: 0.6873
Epoch [35/100], Step[100/526], Loss: 0.6681
Epoch [35/100], Step[101/526], Loss: 0.6576
Epoch [35/100], Step[102/526], Loss: 0.6291
Epoch [35/100], Step[103/526], Loss: 0.7043
Epoch [35/100], Step[104/526], Loss: 0.6459
Epoch [35/100], Step[105/526], Loss: 0.6364
Epoch [35/100], Step[106/526], Loss: 0.6893
Epoch [35/100], Step[107/526], Loss: 0.6374
Epoch [35/100], Step[108/526], Loss: 0.5787
Epoch [35/100], Step[109/526], Loss: 0.6730
Epoch [35/100], Step[110/526], Loss: 0.6868
Epoch [35/100], Step[111/526], Loss: 0.5893
Epoch [35/100], Step[112/526], Loss: 0.7354
Epoch [35/100], Step[113/526], Loss: 0.6040
Epoch [35/100], Step[114/526], Loss: 0.6581
Epoch [35/100], Step[115/526], Loss: 0.6020
Epoch [35/100], Step[116/526], Loss: 0.6220
Epoch [35/100], Step[117/526], Loss: 0.6602
Epoch [35/100], Step[118/526], Loss: 0.7573
Epoch [35/100], Step[119/526], Loss: 0.6766
Epoch [35/100], Step[120/526], Loss: 0.6793
Epoch [35/100], Step[121/526], Loss: 0.6927
Epoch [35/100], Step[122/526], Loss: 0.6270
Epoch [35/100], Step[123/526], Loss: 0.6476
Epoch [35/100], Step[124/526], Loss: 0.6731
Epoch [35/100], Step[125/526], Loss: 0.6321
Epoch [35/100], Step[126/526], Loss: 0.7180
Epoch [35/100], Step[127/526], Loss: 0.6747
Epoch [35/100], Step[128/526], Loss: 0.6434
Epoch [35/100], Step[129/526], Loss: 0.5925
Epoch [35/100], Step[130/526], Loss: 0.6028
Epoch [35/100], Step[131/526], Loss: 0.6720
Epoch [35/100], Step[132/526], Loss: 0.7216
Epoch [35/100], Step[133/526], Loss: 0.6766
Epoch [35/100], Step[134/526], Loss: 0.6284
Epoch [35/100], Step[135/526], Loss: 0.6459
Epoch [35/100], Step[136/526], Loss: 0.5675
Epoch [35/100], Step[137/526], Loss: 0.6407
Epoch [35/100], Step[138/526], Loss: 0.6508
Epoch [35/100], Step[139/526], Loss: 0.7087
Epoch [35/100], Step[140/526], Loss: 0.5912
Epoch [35/100], Step[141/526], Loss: 0.6845
Epoch [35/100], Step[142/526], Loss: 0.6643
Epoch [35/100], Step[143/526], Loss: 0.6880
Epoch [35/100], Step[144/526], Loss: 0.7785
Epoch [35/100], Step[145/526], Loss: 0.5509
Epoch [35/100], Step[146/526], Loss: 0.5111
Epoch [35/100], Step[147/526], Loss: 0.4589
Epoch [35/100], Step[148/526], Loss: 0.5906
Epoch [35/100], Step[149/526], Loss: 0.4973
Epoch [35/100], Step[150/526], Loss: 0.5956
Epoch [35/100], Step[151/526], Loss: 0.5622
Epoch [35/100], Step[152/526], Loss: 0.6228
Epoch [35/100], Step[153/526], Loss: 0.6305
Epoch [35/100], Step[154/526], Loss: 0.7270
Epoch [35/100], Step[155/526], Loss: 0.7296
Epoch [35/100], Step[156/526], Loss: 0.5264
Epoch [35/100], Step[157/526], Loss: 0.2694
Epoch [35/100], Step[158/526], Loss: 0.6080
Epoch [35/100], Step[159/526], Loss: 0.6730
Epoch [35/100], Step[160/526], Loss: 0.5474
Epoch [35/100], Step[161/526], Loss: 0.9719
Epoch [35/100], Step[162/526], Loss: 0.6951
Epoch [35/100], Step[163/526], Loss: 0.7156
Epoch [35/100], Step[164/526], Loss: 0.6200
Epoch [35/100], Step[165/526], Loss: 0.7228
Epoch [35/100], Step[166/526], Loss: 0.5059
Epoch [35/100], Step[167/526], Loss: 0.5380
Epoch [35/100], Step[168/526], Loss: 0.6812
Epoch [35/100], Step[169/526], Loss: 0.7486
Epoch [35/100], Step[170/526], Loss: 0.6998
Epoch [35/100], Step[171/526], Loss: 0.7264
Epoch [35/100], Step[172/526], Loss: 0.7209
Epoch [35/100], Step[173/526], Loss: 0.8149
Epoch [35/100], Step[174/526], Loss: 0.6238
Epoch [35/100], Step[175/526], Loss: 0.6589
Epoch [35/100], Step[176/526], Loss: 0.6321
Epoch [35/100], Step[177/526], Loss: 0.6604
Epoch [35/100], Step[178/526], Loss: 0.6914
Epoch [35/100], Step[179/526], Loss: 0.6403
Epoch [35/100], Step[180/526], Loss: 0.6754
Epoch [35/100], Step[181/526], Loss: 0.6421
Epoch [35/100], Step[182/526], Loss: 0.6862
Epoch [35/100], Step[183/526], Loss: 0.5315
Epoch [35/100], Step[184/526], Loss: 0.5987
Epoch [35/100], Step[185/526], Loss: 0.5982
Epoch [35/100], Step[186/526], Loss: 0.6622
Epoch [35/100], Step[187/526], Loss: 0.7484
Epoch [35/100], Step[188/526], Loss: 0.6997
Epoch [35/100], Step[189/526], Loss: 0.6778
Epoch [35/100], Step[190/526], Loss: 0.6049
Epoch [35/100], Step[191/526], Loss: 0.7159
Epoch [35/100], Step[192/526], Loss: 0.7720
Epoch [35/100], Step[193/526], Loss: 0.6555
Epoch [35/100], Step[194/526], Loss: 0.6130
Epoch [35/100], Step[195/526], Loss: 0.6504
Epoch [35/100], Step[196/526], Loss: 0.7336
Epoch [35/100], Step[197/526], Loss: 0.6839
Epoch [35/100], Step[198/526], Loss: 0.6337
Epoch [35/100], Step[199/526], Loss: 0.7339
Epoch [35/100], Step[200/526], Loss: 0.6722
Epoch [35/100], Step[201/526], Loss: 0.6772
Epoch [35/100], Step[202/526], Loss: 0.7435
Epoch [35/100], Step[203/526], Loss: 0.7059
Epoch [35/100], Step[204/526], Loss: 0.7236
Epoch [35/100], Step[205/526], Loss: 0.7031
Epoch [35/100], Step[206/526], Loss: 0.6825
Epoch [35/100], Step[207/526], Loss: 0.7123
Epoch [35/100], Step[208/526], Loss: 0.6818
Epoch [35/100], Step[209/526], Loss: 0.6834
Epoch [35/100], Step[210/526], Loss: 0.7706
Epoch [35/100], Step[211/526], Loss: 0.6371
Epoch [35/100], Step[212/526], Loss: 0.6876
Epoch [35/100], Step[213/526], Loss: 0.7197
Epoch [35/100], Step[214/526], Loss: 0.7473
Epoch [35/100], Step[215/526], Loss: 0.6961
Epoch [35/100], Step[216/526], Loss: 0.6787
Epoch [35/100], Step[217/526], Loss: 0.6767
Epoch [35/100], Step[218/526], Loss: 0.6983
Epoch [35/100], Step[219/526], Loss: 0.6960
Epoch [35/100], Step[220/526], Loss: 0.7287
Epoch [35/100], Step[221/526], Loss: 0.6965
Epoch [35/100], Step[222/526], Loss: 0.7445
Epoch [35/100], Step[223/526], Loss: 0.6785
Epoch [35/100], Step[224/526], Loss: 0.6832
Epoch [35/100], Step[225/526], Loss: 0.7245
Epoch [35/100], Step[226/526], Loss: 0.6772
Epoch [35/100], Step[227/526], Loss: 0.6715
Epoch [35/100], Step[228/526], Loss: 0.6639
Epoch [35/100], Step[229/526], Loss: 0.6883
Epoch [35/100], Step[230/526], Loss: 0.6608
Epoch [35/100], Step[231/526], Loss: 0.6665
Epoch [35/100], Step[232/526], Loss: 0.7096
Epoch [35/100], Step[233/526], Loss: 0.6853
Epoch [35/100], Step[234/526], Loss: 0.6809
Epoch [35/100], Step[235/526], Loss: 0.7077
Epoch [35/100], Step[236/526], Loss: 0.6928
Epoch [35/100], Step[237/526], Loss: 0.7184
Epoch [35/100], Step[238/526], Loss: 0.6848
Epoch [35/100], Step[239/526], Loss: 0.6710
Epoch [35/100], Step[240/526], Loss: 0.7261
Epoch [35/100], Step[241/526], Loss: 0.6966
Epoch [35/100], Step[242/526], Loss: 0.7091
Epoch [35/100], Step[243/526], Loss: 0.6428
Epoch [35/100], Step[244/526], Loss: 0.6527
Epoch [35/100], Step[245/526], Loss: 0.6432
Epoch [35/100], Step[246/526], Loss: 0.6658
Epoch [35/100], Step[247/526], Loss: 0.6236
Epoch [35/100], Step[248/526], Loss: 0.6538
Epoch [35/100], Step[249/526], Loss: 0.6657
Epoch [35/100], Step[250/526], Loss: 0.6799
Epoch [35/100], Step[251/526], Loss: 0.7006
Epoch [35/100], Step[252/526], Loss: 0.6939
Epoch [35/100], Step[253/526], Loss: 0.6318
Epoch [35/100], Step[254/526], Loss: 0.6628
Epoch [35/100], Step[255/526], Loss: 0.6047
Epoch [35/100], Step[256/526], Loss: 0.6902
Epoch [35/100], Step[257/526], Loss: 0.6668
Epoch [35/100], Step[258/526], Loss: 0.6314
Epoch [35/100], Step[259/526], Loss: 0.6845
Epoch [35/100], Step[260/526], Loss: 0.7366
Epoch [35/100], Step[261/526], Loss: 0.7484
Epoch [35/100], Step[262/526], Loss: 0.6811
Epoch [35/100], Step[263/526], Loss: 0.6654
Epoch [35/100], Step[264/526], Loss: 0.6438
Epoch [35/100], Step[265/526], Loss: 0.6372
Epoch [35/100], Step[266/526], Loss: 0.6360
Epoch [35/100], Step[267/526], Loss: 0.5006
Epoch [35/100], Step[268/526], Loss: 0.5478
Epoch [35/100], Step[269/526], Loss: 0.4598
Epoch [35/100], Step[270/526], Loss: 0.3924
Epoch [35/100], Step[271/526], Loss: 0.5186
Epoch [35/100], Step[272/526], Loss: 0.5360
Epoch [35/100], Step[273/526], Loss: 0.6288
Epoch [35/100], Step[274/526], Loss: 0.4369
Epoch [35/100], Step[275/526], Loss: 0.4209
Epoch [35/100], Step[276/526], Loss: 0.4694
Epoch [35/100], Step[277/526], Loss: 0.4280
Epoch [35/100], Step[278/526], Loss: 0.4568
Epoch [35/100], Step[279/526], Loss: 0.4068
Epoch [35/100], Step[280/526], Loss: 0.4496
Epoch [35/100], Step[281/526], Loss: 0.6264
Epoch [35/100], Step[282/526], Loss: 0.3603
Epoch [35/100], Step[283/526], Loss: 0.3677
Epoch [35/100], Step[284/526], Loss: 0.3981
Epoch [35/100], Step[285/526], Loss: 0.2770
Epoch [35/100], Step[286/526], Loss: 0.6984
Epoch [35/100], Step[287/526], Loss: 0.4810
Epoch [35/100], Step[288/526], Loss: 0.4345
Epoch [35/100], Step[289/526], Loss: 0.6156
Epoch [35/100], Step[290/526], Loss: 0.4247
Epoch [35/100], Step[291/526], Loss: 0.4843
Epoch [35/100], Step[292/526], Loss: 0.2558
Epoch [35/100], Step[293/526], Loss: 0.3084
Epoch [35/100], Step[294/526], Loss: 0.3229
Epoch [35/100], Step[295/526], Loss: 0.4217
Epoch [35/100], Step[296/526], Loss: 0.6221
Epoch [35/100], Step[297/526], Loss: 0.2899
Epoch [35/100], Step[298/526], Loss: 0.2915
Epoch [35/100], Step[299/526], Loss: 0.2418
Epoch [35/100], Step[300/526], Loss: 0.3017
Epoch [35/100], Step[301/526], Loss: 0.6102
Epoch [35/100], Step[302/526], Loss: 0.3186
Epoch [35/100], Step[303/526], Loss: 0.4797
Epoch [35/100], Step[304/526], Loss: 0.2572
Epoch [35/100], Step[305/526], Loss: 0.2604
Epoch [35/100], Step[306/526], Loss: 0.5769
Epoch [35/100], Step[307/526], Loss: 0.8839
Epoch [35/100], Step[308/526], Loss: 1.3104
Epoch [35/100], Step[309/526], Loss: 0.8684
Epoch [35/100], Step[310/526], Loss: 0.9619
Epoch [35/100], Step[311/526], Loss: 0.8193
Epoch [35/100], Step[312/526], Loss: 0.4931
Epoch [35/100], Step[313/526], Loss: 0.4814
Epoch [35/100], Step[314/526], Loss: 0.6533
Epoch [35/100], Step[315/526], Loss: 0.6994
Epoch [35/100], Step[316/526], Loss: 0.4907
Epoch [35/100], Step[317/526], Loss: 0.3223
Epoch [35/100], Step[318/526], Loss: 0.7594
Epoch [35/100], Step[319/526], Loss: 0.3536
Epoch [35/100], Step[320/526], Loss: 0.6039
Epoch [35/100], Step[321/526], Loss: 0.7113
Epoch [35/100], Step[322/526], Loss: 0.2683
Epoch [35/100], Step[323/526], Loss: 0.6129
Epoch [35/100], Step[324/526], Loss: 0.6580
Epoch [35/100], Step[325/526], Loss: 0.5755
Epoch [35/100], Step[326/526], Loss: 0.7697
Epoch [35/100], Step[327/526], Loss: 0.7326
Epoch [35/100], Step[328/526], Loss: 0.9237
Epoch [35/100], Step[329/526], Loss: 1.2628
Epoch [35/100], Step[330/526], Loss: 1.0370
Epoch [35/100], Step[331/526], Loss: 0.7933
Epoch [35/100], Step[332/526], Loss: 0.8459
Epoch [35/100], Step[333/526], Loss: 0.7817
Epoch [35/100], Step[334/526], Loss: 0.7778
Epoch [35/100], Step[335/526], Loss: 0.8010
Epoch [35/100], Step[336/526], Loss: 0.6989
Epoch [35/100], Step[337/526], Loss: 0.5967
Epoch [35/100], Step[338/526], Loss: 0.7056
Epoch [35/100], Step[339/526], Loss: 0.6475
Epoch [35/100], Step[340/526], Loss: 0.7249
Epoch [35/100], Step[341/526], Loss: 0.7774
Epoch [35/100], Step[342/526], Loss: 0.7857
Epoch [35/100], Step[343/526], Loss: 0.5433
Epoch [35/100], Step[344/526], Loss: 0.7326
Epoch [35/100], Step[345/526], Loss: 0.6511
Epoch [35/100], Step[346/526], Loss: 0.6758
Epoch [35/100], Step[347/526], Loss: 0.7062
Epoch [35/100], Step[348/526], Loss: 0.6354
Epoch [35/100], Step[349/526], Loss: 0.5832
Epoch [35/100], Step[350/526], Loss: 0.6734
Epoch [35/100], Step[351/526], Loss: 0.7161
Epoch [35/100], Step[352/526], Loss: 0.6157
Epoch [35/100], Step[353/526], Loss: 0.6850
Epoch [35/100], Step[354/526], Loss: 0.6711
Epoch [35/100], Step[355/526], Loss: 0.6724
Epoch [35/100], Step[356/526], Loss: 0.7034
Epoch [35/100], Step[357/526], Loss: 0.6581
Epoch [35/100], Step[358/526], Loss: 0.6968
Epoch [35/100], Step[359/526], Loss: 0.6526
Epoch [35/100], Step[360/526], Loss: 0.6753
Epoch [35/100], Step[361/526], Loss: 0.7229
Epoch [35/100], Step[362/526], Loss: 0.7060
Epoch [35/100], Step[363/526], Loss: 0.6925
Epoch [35/100], Step[364/526], Loss: 0.7130
Epoch [35/100], Step[365/526], Loss: 0.7139
Epoch [35/100], Step[366/526], Loss: 0.6876
Epoch [35/100], Step[367/526], Loss: 0.6889
Epoch [35/100], Step[368/526], Loss: 0.6513
Epoch [35/100], Step[369/526], Loss: 0.6585
Epoch [35/100], Step[370/526], Loss: 0.6230
Epoch [35/100], Step[371/526], Loss: 0.7358
Epoch [35/100], Step[372/526], Loss: 0.6424
Epoch [35/100], Step[373/526], Loss: 0.6759
Epoch [35/100], Step[374/526], Loss: 0.7006
Epoch [35/100], Step[375/526], Loss: 0.6486
Epoch [35/100], Step[376/526], Loss: 0.6455
Epoch [35/100], Step[377/526], Loss: 0.6857
Epoch [35/100], Step[378/526], Loss: 0.6928
Epoch [35/100], Step[379/526], Loss: 0.7441
Epoch [35/100], Step[380/526], Loss: 0.6127
Epoch [35/100], Step[381/526], Loss: 0.5989
Epoch [35/100], Step[382/526], Loss: 0.6714
Epoch [35/100], Step[383/526], Loss: 0.6911
Epoch [35/100], Step[384/526], Loss: 0.6296
Epoch [35/100], Step[385/526], Loss: 0.6339
Epoch [35/100], Step[386/526], Loss: 0.6616
Epoch [35/100], Step[387/526], Loss: 0.6626
Epoch [35/100], Step[388/526], Loss: 0.5979
Epoch [35/100], Step[389/526], Loss: 0.7180
Epoch [35/100], Step[390/526], Loss: 0.5969
Epoch [35/100], Step[391/526], Loss: 0.6539
Epoch [35/100], Step[392/526], Loss: 0.7003
Epoch [35/100], Step[393/526], Loss: 0.5883
Epoch [35/100], Step[394/526], Loss: 0.5207
Epoch [35/100], Step[395/526], Loss: 0.6280
Epoch [35/100], Step[396/526], Loss: 0.6308
Epoch [35/100], Step[397/526], Loss: 0.4794
Epoch [35/100], Step[398/526], Loss: 0.6031
Epoch [35/100], Step[399/526], Loss: 0.6517
Epoch [35/100], Step[400/526], Loss: 0.4788
Epoch [35/100], Step[401/526], Loss: 0.5956
Epoch [35/100], Step[402/526], Loss: 0.6414
Epoch [35/100], Step[403/526], Loss: 0.7195
Epoch [35/100], Step[404/526], Loss: 0.4825
Epoch [35/100], Step[405/526], Loss: 0.5057
Epoch [35/100], Step[406/526], Loss: 0.6282
Epoch [35/100], Step[407/526], Loss: 0.7505
Epoch [35/100], Step[408/526], Loss: 0.6532
Epoch [35/100], Step[409/526], Loss: 0.4723
Epoch [35/100], Step[410/526], Loss: 0.4953
Epoch [35/100], Step[411/526], Loss: 0.5370
Epoch [35/100], Step[412/526], Loss: 0.5930
Epoch [35/100], Step[413/526], Loss: 0.5995
Epoch [35/100], Step[414/526], Loss: 0.6408
Epoch [35/100], Step[415/526], Loss: 0.6088
Epoch [35/100], Step[416/526], Loss: 0.5418
Epoch [35/100], Step[417/526], Loss: 0.4553
Epoch [35/100], Step[418/526], Loss: 0.7435
Epoch [35/100], Step[419/526], Loss: 0.6830
Epoch [35/100], Step[420/526], Loss: 0.6836
Epoch [35/100], Step[421/526], Loss: 0.6358
Epoch [35/100], Step[422/526], Loss: 0.7835
Epoch [35/100], Step[423/526], Loss: 0.7015
Epoch [35/100], Step[424/526], Loss: 0.7428
Epoch [35/100], Step[425/526], Loss: 0.7040
Epoch [35/100], Step[426/526], Loss: 0.7629
Epoch [35/100], Step[427/526], Loss: 0.7042
Epoch [35/100], Step[428/526], Loss: 0.7141
Epoch [35/100], Step[429/526], Loss: 0.7361
Epoch [35/100], Step[430/526], Loss: 0.7924
Epoch [35/100], Step[431/526], Loss: 0.7054
Epoch [35/100], Step[432/526], Loss: 0.7292
Epoch [35/100], Step[433/526], Loss: 0.6773
Epoch [35/100], Step[434/526], Loss: 0.6138
Epoch [35/100], Step[435/526], Loss: 0.7802
Epoch [35/100], Step[436/526], Loss: 0.8152
Epoch [35/100], Step[437/526], Loss: 0.5147
Epoch [35/100], Step[438/526], Loss: 0.3670
Epoch [35/100], Step[439/526], Loss: 0.7259
Epoch [35/100], Step[440/526], Loss: 0.6857
Epoch [35/100], Step[441/526], Loss: 0.7020
Epoch [35/100], Step[442/526], Loss: 0.6409
Epoch [35/100], Step[443/526], Loss: 0.6704
Epoch [35/100], Step[444/526], Loss: 0.7560
Epoch [35/100], Step[445/526], Loss: 0.7028
Epoch [35/100], Step[446/526], Loss: 0.7165
Epoch [35/100], Step[447/526], Loss: 0.7174
Epoch [35/100], Step[448/526], Loss: 0.7239
Epoch [35/100], Step[449/526], Loss: 0.6760
Epoch [35/100], Step[450/526], Loss: 0.6109
Epoch [35/100], Step[451/526], Loss: 0.6598
Epoch [35/100], Step[452/526], Loss: 0.7279
Epoch [35/100], Step[453/526], Loss: 0.7123
Epoch [35/100], Step[454/526], Loss: 0.8189
Epoch [35/100], Step[455/526], Loss: 0.6491
Epoch [35/100], Step[456/526], Loss: 0.6304
Epoch [35/100], Step[457/526], Loss: 0.7012
Epoch [35/100], Step[458/526], Loss: 0.6661
Epoch [35/100], Step[459/526], Loss: 0.6655
Epoch [35/100], Step[460/526], Loss: 0.6428
Epoch [35/100], Step[461/526], Loss: 0.6134
Epoch [35/100], Step[462/526], Loss: 0.6741
Epoch [35/100], Step[463/526], Loss: 0.6518
Epoch [35/100], Step[464/526], Loss: 0.6429
Epoch [35/100], Step[465/526], Loss: 0.6613
Epoch [35/100], Step[466/526], Loss: 0.6633
Epoch [35/100], Step[467/526], Loss: 0.6486
Epoch [35/100], Step[468/526], Loss: 0.6284
Epoch [35/100], Step[469/526], Loss: 0.8052
Epoch [35/100], Step[470/526], Loss: 0.6573
Epoch [35/100], Step[471/526], Loss: 0.6960
Epoch [35/100], Step[472/526], Loss: 0.6707
Epoch [35/100], Step[473/526], Loss: 0.6802
Epoch [35/100], Step[474/526], Loss: 0.6778
Epoch [35/100], Step[475/526], Loss: 0.8331
Epoch [35/100], Step[476/526], Loss: 0.7510
Epoch [35/100], Step[477/526], Loss: 0.7051
Epoch [35/100], Step[478/526], Loss: 0.6958
Epoch [35/100], Step[479/526], Loss: 0.6623
Epoch [35/100], Step[480/526], Loss: 0.7366
Epoch [35/100], Step[481/526], Loss: 0.7236
Epoch [35/100], Step[482/526], Loss: 0.6226
Epoch [35/100], Step[483/526], Loss: 0.5465
Epoch [35/100], Step[484/526], Loss: 0.6978
Epoch [35/100], Step[485/526], Loss: 0.7887
Epoch [35/100], Step[486/526], Loss: 0.7249
Epoch [35/100], Step[487/526], Loss: 0.7572
Epoch [35/100], Step[488/526], Loss: 0.6912
Epoch [35/100], Step[489/526], Loss: 0.6323
Epoch [35/100], Step[490/526], Loss: 0.6150
Epoch [35/100], Step[491/526], Loss: 0.6987
Epoch [35/100], Step[492/526], Loss: 0.6508
Epoch [35/100], Step[493/526], Loss: 0.6445
Epoch [35/100], Step[494/526], Loss: 0.6631
Epoch [35/100], Step[495/526], Loss: 0.6895
Epoch [35/100], Step[496/526], Loss: 0.6650
Epoch [35/100], Step[497/526], Loss: 0.6388
Epoch [35/100], Step[498/526], Loss: 0.6771
Epoch [35/100], Step[499/526], Loss: 0.6719
Epoch [35/100], Step[500/526], Loss: 0.6762
Epoch [35/100], Step[501/526], Loss: 0.6564
Epoch [35/100], Step[502/526], Loss: 0.6977
Epoch [35/100], Step[503/526], Loss: 0.7110
Epoch [35/100], Step[504/526], Loss: 0.7002
Epoch [35/100], Step[505/526], Loss: 0.7090
Epoch [35/100], Step[506/526], Loss: 0.6831
Epoch [35/100], Step[507/526], Loss: 0.6736
Epoch [35/100], Step[508/526], Loss: 0.7042
Epoch [35/100], Step[509/526], Loss: 0.6561
Epoch [35/100], Step[510/526], Loss: 0.7034
Epoch [35/100], Step[511/526], Loss: 0.6441
Epoch [35/100], Step[512/526], Loss: 0.6740
Epoch [35/100], Step[513/526], Loss: 0.6449
Epoch [35/100], Step[514/526], Loss: 0.6551
Epoch [35/100], Step[515/526], Loss: 0.5829
Epoch [35/100], Step[516/526], Loss: 0.7511
Epoch [35/100], Step[517/526], Loss: 0.6888
Epoch [35/100], Step[518/526], Loss: 0.7351
Epoch [35/100], Step[519/526], Loss: 0.7126
Epoch [35/100], Step[520/526], Loss: 0.6753
Epoch [35/100], Step[521/526], Loss: 0.6711
Epoch [35/100], Step[522/526], Loss: 0.6065
Epoch [35/100], Step[523/526], Loss: 0.6452
Epoch [35/100], Step[524/526], Loss: 0.6456
Epoch [35/100], Step[525/526], Loss: 0.7404
Epoch [35/100], Step[526/526], Loss: 0.7059
Epoch [36/100], Step[1/526], Loss: 0.6595
Epoch [36/100], Step[2/526], Loss: 0.6459
Epoch [36/100], Step[3/526], Loss: 0.6791
Epoch [36/100], Step[4/526], Loss: 0.6339
Epoch [36/100], Step[5/526], Loss: 0.7360
Epoch [36/100], Step[6/526], Loss: 0.7431
Epoch [36/100], Step[7/526], Loss: 0.6957
Epoch [36/100], Step[8/526], Loss: 0.6800
Epoch [36/100], Step[9/526], Loss: 0.7079
Epoch [36/100], Step[10/526], Loss: 0.6758
Epoch [36/100], Step[11/526], Loss: 0.6683
Epoch [36/100], Step[12/526], Loss: 0.7185
Epoch [36/100], Step[13/526], Loss: 0.6357
Epoch [36/100], Step[14/526], Loss: 0.6592
Epoch [36/100], Step[15/526], Loss: 0.6866
Epoch [36/100], Step[16/526], Loss: 0.7028
Epoch [36/100], Step[17/526], Loss: 0.7097
Epoch [36/100], Step[18/526], Loss: 0.6783
Epoch [36/100], Step[19/526], Loss: 0.6690
Epoch [36/100], Step[20/526], Loss: 0.7071
Epoch [36/100], Step[21/526], Loss: 0.7508
Epoch [36/100], Step[22/526], Loss: 0.7300
Epoch [36/100], Step[23/526], Loss: 0.7354
Epoch [36/100], Step[24/526], Loss: 0.7130
Epoch [36/100], Step[25/526], Loss: 0.6916
Epoch [36/100], Step[26/526], Loss: 0.6377
Epoch [36/100], Step[27/526], Loss: 0.6874
Epoch [36/100], Step[28/526], Loss: 0.6879
Epoch [36/100], Step[29/526], Loss: 0.6615
Epoch [36/100], Step[30/526], Loss: 0.6926
Epoch [36/100], Step[31/526], Loss: 0.7023
Epoch [36/100], Step[32/526], Loss: 0.6665
Epoch [36/100], Step[33/526], Loss: 0.7069
Epoch [36/100], Step[34/526], Loss: 0.6926
Epoch [36/100], Step[35/526], Loss: 0.7098
Epoch [36/100], Step[36/526], Loss: 0.6952
Epoch [36/100], Step[37/526], Loss: 0.6930
Epoch [36/100], Step[38/526], Loss: 0.7096
Epoch [36/100], Step[39/526], Loss: 0.6965
Epoch [36/100], Step[40/526], Loss: 0.7203
Epoch [36/100], Step[41/526], Loss: 0.6572
Epoch [36/100], Step[42/526], Loss: 0.7276
Epoch [36/100], Step[43/526], Loss: 0.7185
Epoch [36/100], Step[44/526], Loss: 0.6838
Epoch [36/100], Step[45/526], Loss: 0.6880
Epoch [36/100], Step[46/526], Loss: 0.6888
Epoch [36/100], Step[47/526], Loss: 0.7083
Epoch [36/100], Step[48/526], Loss: 0.7264
Epoch [36/100], Step[49/526], Loss: 0.7052
Epoch [36/100], Step[50/526], Loss: 0.7141
Epoch [36/100], Step[51/526], Loss: 0.6942
Epoch [36/100], Step[52/526], Loss: 0.6754
Epoch [36/100], Step[53/526], Loss: 0.7185
Epoch [36/100], Step[54/526], Loss: 0.7007
Epoch [36/100], Step[55/526], Loss: 0.6879
Epoch [36/100], Step[56/526], Loss: 0.7013
Epoch [36/100], Step[57/526], Loss: 0.6843
Epoch [36/100], Step[58/526], Loss: 0.6752
Epoch [36/100], Step[59/526], Loss: 0.6585
Epoch [36/100], Step[60/526], Loss: 0.6693
Epoch [36/100], Step[61/526], Loss: 0.6488
Epoch [36/100], Step[62/526], Loss: 0.6971
Epoch [36/100], Step[63/526], Loss: 0.6860
Epoch [36/100], Step[64/526], Loss: 0.6816
Epoch [36/100], Step[65/526], Loss: 0.7240
Epoch [36/100], Step[66/526], Loss: 0.6841
Epoch [36/100], Step[67/526], Loss: 0.6626
Epoch [36/100], Step[68/526], Loss: 0.6505
Epoch [36/100], Step[69/526], Loss: 0.6970
Epoch [36/100], Step[70/526], Loss: 0.6844
Epoch [36/100], Step[71/526], Loss: 0.6654
Epoch [36/100], Step[72/526], Loss: 0.6812
Epoch [36/100], Step[73/526], Loss: 0.7112
Epoch [36/100], Step[74/526], Loss: 0.6634
Epoch [36/100], Step[75/526], Loss: 0.7054
Epoch [36/100], Step[76/526], Loss: 0.6905
Epoch [36/100], Step[77/526], Loss: 0.6941
Epoch [36/100], Step[78/526], Loss: 0.7096
Epoch [36/100], Step[79/526], Loss: 0.6930
Epoch [36/100], Step[80/526], Loss: 0.6922
Epoch [36/100], Step[81/526], Loss: 0.7046
Epoch [36/100], Step[82/526], Loss: 0.7275
Epoch [36/100], Step[83/526], Loss: 0.7077
Epoch [36/100], Step[84/526], Loss: 0.6981
Epoch [36/100], Step[85/526], Loss: 0.6627
Epoch [36/100], Step[86/526], Loss: 0.7082
Epoch [36/100], Step[87/526], Loss: 0.6833
Epoch [36/100], Step[88/526], Loss: 0.6895
Epoch [36/100], Step[89/526], Loss: 0.7216
Epoch [36/100], Step[90/526], Loss: 0.6860
Epoch [36/100], Step[91/526], Loss: 0.6802
Epoch [36/100], Step[92/526], Loss: 0.6800
Epoch [36/100], Step[93/526], Loss: 0.6866
Epoch [36/100], Step[94/526], Loss: 0.8052
Epoch [36/100], Step[95/526], Loss: 0.7167
Epoch [36/100], Step[96/526], Loss: 0.6253
Epoch [36/100], Step[97/526], Loss: 0.5922
Epoch [36/100], Step[98/526], Loss: 0.6917
Epoch [36/100], Step[99/526], Loss: 0.6872
Epoch [36/100], Step[100/526], Loss: 0.6689
Epoch [36/100], Step[101/526], Loss: 0.6579
Epoch [36/100], Step[102/526], Loss: 0.6306
Epoch [36/100], Step[103/526], Loss: 0.7046
Epoch [36/100], Step[104/526], Loss: 0.6470
Epoch [36/100], Step[105/526], Loss: 0.6373
Epoch [36/100], Step[106/526], Loss: 0.6893
Epoch [36/100], Step[107/526], Loss: 0.6373
Epoch [36/100], Step[108/526], Loss: 0.5785
Epoch [36/100], Step[109/526], Loss: 0.6764
Epoch [36/100], Step[110/526], Loss: 0.6850
Epoch [36/100], Step[111/526], Loss: 0.5906
Epoch [36/100], Step[112/526], Loss: 0.7341
Epoch [36/100], Step[113/526], Loss: 0.6045
Epoch [36/100], Step[114/526], Loss: 0.6579
Epoch [36/100], Step[115/526], Loss: 0.6020
Epoch [36/100], Step[116/526], Loss: 0.6214
Epoch [36/100], Step[117/526], Loss: 0.6599
Epoch [36/100], Step[118/526], Loss: 0.7572
Epoch [36/100], Step[119/526], Loss: 0.6764
Epoch [36/100], Step[120/526], Loss: 0.6786
Epoch [36/100], Step[121/526], Loss: 0.6911
Epoch [36/100], Step[122/526], Loss: 0.6266
Epoch [36/100], Step[123/526], Loss: 0.6479
Epoch [36/100], Step[124/526], Loss: 0.6729
Epoch [36/100], Step[125/526], Loss: 0.6310
Epoch [36/100], Step[126/526], Loss: 0.7175
Epoch [36/100], Step[127/526], Loss: 0.6759
Epoch [36/100], Step[128/526], Loss: 0.6422
Epoch [36/100], Step[129/526], Loss: 0.5908
Epoch [36/100], Step[130/526], Loss: 0.5999
Epoch [36/100], Step[131/526], Loss: 0.6721
Epoch [36/100], Step[132/526], Loss: 0.7232
Epoch [36/100], Step[133/526], Loss: 0.6774
Epoch [36/100], Step[134/526], Loss: 0.6286
Epoch [36/100], Step[135/526], Loss: 0.6462
Epoch [36/100], Step[136/526], Loss: 0.5651
Epoch [36/100], Step[137/526], Loss: 0.6416
Epoch [36/100], Step[138/526], Loss: 0.6500
Epoch [36/100], Step[139/526], Loss: 0.7101
Epoch [36/100], Step[140/526], Loss: 0.5893
Epoch [36/100], Step[141/526], Loss: 0.6834
Epoch [36/100], Step[142/526], Loss: 0.6628
Epoch [36/100], Step[143/526], Loss: 0.6900
Epoch [36/100], Step[144/526], Loss: 0.7798
Epoch [36/100], Step[145/526], Loss: 0.5496
Epoch [36/100], Step[146/526], Loss: 0.5102
Epoch [36/100], Step[147/526], Loss: 0.4532
Epoch [36/100], Step[148/526], Loss: 0.5918
Epoch [36/100], Step[149/526], Loss: 0.4963
Epoch [36/100], Step[150/526], Loss: 0.6030
Epoch [36/100], Step[151/526], Loss: 0.5609
Epoch [36/100], Step[152/526], Loss: 0.6223
Epoch [36/100], Step[153/526], Loss: 0.6299
Epoch [36/100], Step[154/526], Loss: 0.7266
Epoch [36/100], Step[155/526], Loss: 0.7223
Epoch [36/100], Step[156/526], Loss: 0.5264
Epoch [36/100], Step[157/526], Loss: 0.2674
Epoch [36/100], Step[158/526], Loss: 0.6083
Epoch [36/100], Step[159/526], Loss: 0.6714
Epoch [36/100], Step[160/526], Loss: 0.5483
Epoch [36/100], Step[161/526], Loss: 0.9679
Epoch [36/100], Step[162/526], Loss: 0.6957
Epoch [36/100], Step[163/526], Loss: 0.7156
Epoch [36/100], Step[164/526], Loss: 0.6201
Epoch [36/100], Step[165/526], Loss: 0.7206
Epoch [36/100], Step[166/526], Loss: 0.5020
Epoch [36/100], Step[167/526], Loss: 0.5387
Epoch [36/100], Step[168/526], Loss: 0.6804
Epoch [36/100], Step[169/526], Loss: 0.7480
Epoch [36/100], Step[170/526], Loss: 0.7004
Epoch [36/100], Step[171/526], Loss: 0.7274
Epoch [36/100], Step[172/526], Loss: 0.7162
Epoch [36/100], Step[173/526], Loss: 0.8145
Epoch [36/100], Step[174/526], Loss: 0.6418
Epoch [36/100], Step[175/526], Loss: 0.6615
Epoch [36/100], Step[176/526], Loss: 0.6262
Epoch [36/100], Step[177/526], Loss: 0.6617
Epoch [36/100], Step[178/526], Loss: 0.6888
Epoch [36/100], Step[179/526], Loss: 0.6387
Epoch [36/100], Step[180/526], Loss: 0.6754
Epoch [36/100], Step[181/526], Loss: 0.6416
Epoch [36/100], Step[182/526], Loss: 0.6864
Epoch [36/100], Step[183/526], Loss: 0.5307
Epoch [36/100], Step[184/526], Loss: 0.5988
Epoch [36/100], Step[185/526], Loss: 0.6037
Epoch [36/100], Step[186/526], Loss: 0.6622
Epoch [36/100], Step[187/526], Loss: 0.7467
Epoch [36/100], Step[188/526], Loss: 0.6988
Epoch [36/100], Step[189/526], Loss: 0.6780
Epoch [36/100], Step[190/526], Loss: 0.6047
Epoch [36/100], Step[191/526], Loss: 0.7133
Epoch [36/100], Step[192/526], Loss: 0.7701
Epoch [36/100], Step[193/526], Loss: 0.6554
Epoch [36/100], Step[194/526], Loss: 0.6125
Epoch [36/100], Step[195/526], Loss: 0.6497
Epoch [36/100], Step[196/526], Loss: 0.7321
Epoch [36/100], Step[197/526], Loss: 0.6839
Epoch [36/100], Step[198/526], Loss: 0.6340
Epoch [36/100], Step[199/526], Loss: 0.7347
Epoch [36/100], Step[200/526], Loss: 0.6729
Epoch [36/100], Step[201/526], Loss: 0.6770
Epoch [36/100], Step[202/526], Loss: 0.7436
Epoch [36/100], Step[203/526], Loss: 0.7059
Epoch [36/100], Step[204/526], Loss: 0.7234
Epoch [36/100], Step[205/526], Loss: 0.7028
Epoch [36/100], Step[206/526], Loss: 0.6825
Epoch [36/100], Step[207/526], Loss: 0.7116
Epoch [36/100], Step[208/526], Loss: 0.6820
Epoch [36/100], Step[209/526], Loss: 0.6832
Epoch [36/100], Step[210/526], Loss: 0.7714
Epoch [36/100], Step[211/526], Loss: 0.6372
Epoch [36/100], Step[212/526], Loss: 0.6877
Epoch [36/100], Step[213/526], Loss: 0.7199
Epoch [36/100], Step[214/526], Loss: 0.7472
Epoch [36/100], Step[215/526], Loss: 0.6951
Epoch [36/100], Step[216/526], Loss: 0.6784
Epoch [36/100], Step[217/526], Loss: 0.6756
Epoch [36/100], Step[218/526], Loss: 0.6986
Epoch [36/100], Step[219/526], Loss: 0.6954
Epoch [36/100], Step[220/526], Loss: 0.7293
Epoch [36/100], Step[221/526], Loss: 0.6954
Epoch [36/100], Step[222/526], Loss: 0.7457
Epoch [36/100], Step[223/526], Loss: 0.6782
Epoch [36/100], Step[224/526], Loss: 0.6834
Epoch [36/100], Step[225/526], Loss: 0.7248
Epoch [36/100], Step[226/526], Loss: 0.6785
Epoch [36/100], Step[227/526], Loss: 0.6723
Epoch [36/100], Step[228/526], Loss: 0.6651
Epoch [36/100], Step[229/526], Loss: 0.6889
Epoch [36/100], Step[230/526], Loss: 0.6617
Epoch [36/100], Step[231/526], Loss: 0.6662
Epoch [36/100], Step[232/526], Loss: 0.7084
Epoch [36/100], Step[233/526], Loss: 0.6853
Epoch [36/100], Step[234/526], Loss: 0.6799
Epoch [36/100], Step[235/526], Loss: 0.7073
Epoch [36/100], Step[236/526], Loss: 0.6931
Epoch [36/100], Step[237/526], Loss: 0.7177
Epoch [36/100], Step[238/526], Loss: 0.6838
Epoch [36/100], Step[239/526], Loss: 0.6709
Epoch [36/100], Step[240/526], Loss: 0.7259
Epoch [36/100], Step[241/526], Loss: 0.6969
Epoch [36/100], Step[242/526], Loss: 0.7089
Epoch [36/100], Step[243/526], Loss: 0.6322
Epoch [36/100], Step[244/526], Loss: 0.6530
Epoch [36/100], Step[245/526], Loss: 0.6431
Epoch [36/100], Step[246/526], Loss: 0.6656
Epoch [36/100], Step[247/526], Loss: 0.6239
Epoch [36/100], Step[248/526], Loss: 0.6542
Epoch [36/100], Step[249/526], Loss: 0.6661
Epoch [36/100], Step[250/526], Loss: 0.6803
Epoch [36/100], Step[251/526], Loss: 0.7009
Epoch [36/100], Step[252/526], Loss: 0.6939
Epoch [36/100], Step[253/526], Loss: 0.6314
Epoch [36/100], Step[254/526], Loss: 0.6641
Epoch [36/100], Step[255/526], Loss: 0.6042
Epoch [36/100], Step[256/526], Loss: 0.6905
Epoch [36/100], Step[257/526], Loss: 0.6667
Epoch [36/100], Step[258/526], Loss: 0.6308
Epoch [36/100], Step[259/526], Loss: 0.6849
Epoch [36/100], Step[260/526], Loss: 0.7377
Epoch [36/100], Step[261/526], Loss: 0.7504
Epoch [36/100], Step[262/526], Loss: 0.6816
Epoch [36/100], Step[263/526], Loss: 0.6651
Epoch [36/100], Step[264/526], Loss: 0.6427
Epoch [36/100], Step[265/526], Loss: 0.6377
Epoch [36/100], Step[266/526], Loss: 0.6370
Epoch [36/100], Step[267/526], Loss: 0.5008
Epoch [36/100], Step[268/526], Loss: 0.5467
Epoch [36/100], Step[269/526], Loss: 0.4589
Epoch [36/100], Step[270/526], Loss: 0.3910
Epoch [36/100], Step[271/526], Loss: 0.5181
Epoch [36/100], Step[272/526], Loss: 0.5357
Epoch [36/100], Step[273/526], Loss: 0.6293
Epoch [36/100], Step[274/526], Loss: 0.4357
Epoch [36/100], Step[275/526], Loss: 0.4204
Epoch [36/100], Step[276/526], Loss: 0.4687
Epoch [36/100], Step[277/526], Loss: 0.4288
Epoch [36/100], Step[278/526], Loss: 0.4579
Epoch [36/100], Step[279/526], Loss: 0.4074
Epoch [36/100], Step[280/526], Loss: 0.4499
Epoch [36/100], Step[281/526], Loss: 0.6264
Epoch [36/100], Step[282/526], Loss: 0.3602
Epoch [36/100], Step[283/526], Loss: 0.3699
Epoch [36/100], Step[284/526], Loss: 0.3980
Epoch [36/100], Step[285/526], Loss: 0.2770
Epoch [36/100], Step[286/526], Loss: 0.6990
Epoch [36/100], Step[287/526], Loss: 0.4803
Epoch [36/100], Step[288/526], Loss: 0.4359
Epoch [36/100], Step[289/526], Loss: 0.6164
Epoch [36/100], Step[290/526], Loss: 0.4244
Epoch [36/100], Step[291/526], Loss: 0.4846
Epoch [36/100], Step[292/526], Loss: 0.2551
Epoch [36/100], Step[293/526], Loss: 0.3130
Epoch [36/100], Step[294/526], Loss: 0.3228
Epoch [36/100], Step[295/526], Loss: 0.4226
Epoch [36/100], Step[296/526], Loss: 0.6234
Epoch [36/100], Step[297/526], Loss: 0.2893
Epoch [36/100], Step[298/526], Loss: 0.2903
Epoch [36/100], Step[299/526], Loss: 0.2402
Epoch [36/100], Step[300/526], Loss: 0.3006
Epoch [36/100], Step[301/526], Loss: 0.6109
Epoch [36/100], Step[302/526], Loss: 0.3183
Epoch [36/100], Step[303/526], Loss: 0.4794
Epoch [36/100], Step[304/526], Loss: 0.2576
Epoch [36/100], Step[305/526], Loss: 0.2601
Epoch [36/100], Step[306/526], Loss: 0.5777
Epoch [36/100], Step[307/526], Loss: 0.8854
Epoch [36/100], Step[308/526], Loss: 1.3117
Epoch [36/100], Step[309/526], Loss: 0.8703
Epoch [36/100], Step[310/526], Loss: 0.9625
Epoch [36/100], Step[311/526], Loss: 0.8190
Epoch [36/100], Step[312/526], Loss: 0.4928
Epoch [36/100], Step[313/526], Loss: 0.4813
Epoch [36/100], Step[314/526], Loss: 0.6534
Epoch [36/100], Step[315/526], Loss: 0.6996
Epoch [36/100], Step[316/526], Loss: 0.4906
Epoch [36/100], Step[317/526], Loss: 0.3224
Epoch [36/100], Step[318/526], Loss: 0.7609
Epoch [36/100], Step[319/526], Loss: 0.3534
Epoch [36/100], Step[320/526], Loss: 0.6063
Epoch [36/100], Step[321/526], Loss: 0.7098
Epoch [36/100], Step[322/526], Loss: 0.2654
Epoch [36/100], Step[323/526], Loss: 0.6138
Epoch [36/100], Step[324/526], Loss: 0.6579
Epoch [36/100], Step[325/526], Loss: 0.5756
Epoch [36/100], Step[326/526], Loss: 0.7702
Epoch [36/100], Step[327/526], Loss: 0.7320
Epoch [36/100], Step[328/526], Loss: 0.9251
Epoch [36/100], Step[329/526], Loss: 1.2657
Epoch [36/100], Step[330/526], Loss: 1.0377
Epoch [36/100], Step[331/526], Loss: 0.7935
Epoch [36/100], Step[332/526], Loss: 0.8443
Epoch [36/100], Step[333/526], Loss: 0.7821
Epoch [36/100], Step[334/526], Loss: 0.7774
Epoch [36/100], Step[335/526], Loss: 0.8006
Epoch [36/100], Step[336/526], Loss: 0.6989
Epoch [36/100], Step[337/526], Loss: 0.5952
Epoch [36/100], Step[338/526], Loss: 0.7059
Epoch [36/100], Step[339/526], Loss: 0.6441
Epoch [36/100], Step[340/526], Loss: 0.7251
Epoch [36/100], Step[341/526], Loss: 0.7772
Epoch [36/100], Step[342/526], Loss: 0.7857
Epoch [36/100], Step[343/526], Loss: 0.5432
Epoch [36/100], Step[344/526], Loss: 0.7325
Epoch [36/100], Step[345/526], Loss: 0.6510
Epoch [36/100], Step[346/526], Loss: 0.6756
Epoch [36/100], Step[347/526], Loss: 0.7066
Epoch [36/100], Step[348/526], Loss: 0.6352
Epoch [36/100], Step[349/526], Loss: 0.5824
Epoch [36/100], Step[350/526], Loss: 0.6734
Epoch [36/100], Step[351/526], Loss: 0.7161
Epoch [36/100], Step[352/526], Loss: 0.6148
Epoch [36/100], Step[353/526], Loss: 0.6852
Epoch [36/100], Step[354/526], Loss: 0.6711
Epoch [36/100], Step[355/526], Loss: 0.6728
Epoch [36/100], Step[356/526], Loss: 0.7038
Epoch [36/100], Step[357/526], Loss: 0.6580
Epoch [36/100], Step[358/526], Loss: 0.6972
Epoch [36/100], Step[359/526], Loss: 0.6547
Epoch [36/100], Step[360/526], Loss: 0.6751
Epoch [36/100], Step[361/526], Loss: 0.7230
Epoch [36/100], Step[362/526], Loss: 0.7057
Epoch [36/100], Step[363/526], Loss: 0.6926
Epoch [36/100], Step[364/526], Loss: 0.7125
Epoch [36/100], Step[365/526], Loss: 0.7136
Epoch [36/100], Step[366/526], Loss: 0.6877
Epoch [36/100], Step[367/526], Loss: 0.6890
Epoch [36/100], Step[368/526], Loss: 0.6509
Epoch [36/100], Step[369/526], Loss: 0.6579
Epoch [36/100], Step[370/526], Loss: 0.6224
Epoch [36/100], Step[371/526], Loss: 0.7360
Epoch [36/100], Step[372/526], Loss: 0.6416
Epoch [36/100], Step[373/526], Loss: 0.6754
Epoch [36/100], Step[374/526], Loss: 0.7003
Epoch [36/100], Step[375/526], Loss: 0.6487
Epoch [36/100], Step[376/526], Loss: 0.6530
Epoch [36/100], Step[377/526], Loss: 0.6853
Epoch [36/100], Step[378/526], Loss: 0.6927
Epoch [36/100], Step[379/526], Loss: 0.7453
Epoch [36/100], Step[380/526], Loss: 0.6153
Epoch [36/100], Step[381/526], Loss: 0.5977
Epoch [36/100], Step[382/526], Loss: 0.6706
Epoch [36/100], Step[383/526], Loss: 0.6914
Epoch [36/100], Step[384/526], Loss: 0.6285
Epoch [36/100], Step[385/526], Loss: 0.6332
Epoch [36/100], Step[386/526], Loss: 0.6607
Epoch [36/100], Step[387/526], Loss: 0.6610
Epoch [36/100], Step[388/526], Loss: 0.5979
Epoch [36/100], Step[389/526], Loss: 0.7158
Epoch [36/100], Step[390/526], Loss: 0.5952
Epoch [36/100], Step[391/526], Loss: 0.6536
Epoch [36/100], Step[392/526], Loss: 0.7004
Epoch [36/100], Step[393/526], Loss: 0.5881
Epoch [36/100], Step[394/526], Loss: 0.5198
Epoch [36/100], Step[395/526], Loss: 0.6265
Epoch [36/100], Step[396/526], Loss: 0.6308
Epoch [36/100], Step[397/526], Loss: 0.4777
Epoch [36/100], Step[398/526], Loss: 0.6027
Epoch [36/100], Step[399/526], Loss: 0.6516
Epoch [36/100], Step[400/526], Loss: 0.4780
Epoch [36/100], Step[401/526], Loss: 0.5959
Epoch [36/100], Step[402/526], Loss: 0.6404
Epoch [36/100], Step[403/526], Loss: 0.7262
Epoch [36/100], Step[404/526], Loss: 0.4819
Epoch [36/100], Step[405/526], Loss: 0.5046
Epoch [36/100], Step[406/526], Loss: 0.6290
Epoch [36/100], Step[407/526], Loss: 0.7514
Epoch [36/100], Step[408/526], Loss: 0.6532
Epoch [36/100], Step[409/526], Loss: 0.4706
Epoch [36/100], Step[410/526], Loss: 0.4947
Epoch [36/100], Step[411/526], Loss: 0.5367
Epoch [36/100], Step[412/526], Loss: 0.5926
Epoch [36/100], Step[413/526], Loss: 0.5995
Epoch [36/100], Step[414/526], Loss: 0.6400
Epoch [36/100], Step[415/526], Loss: 0.6094
Epoch [36/100], Step[416/526], Loss: 0.5417
Epoch [36/100], Step[417/526], Loss: 0.4544
Epoch [36/100], Step[418/526], Loss: 0.7448
Epoch [36/100], Step[419/526], Loss: 0.6833
Epoch [36/100], Step[420/526], Loss: 0.6841
Epoch [36/100], Step[421/526], Loss: 0.6358
Epoch [36/100], Step[422/526], Loss: 0.7823
Epoch [36/100], Step[423/526], Loss: 0.7021
Epoch [36/100], Step[424/526], Loss: 0.7437
Epoch [36/100], Step[425/526], Loss: 0.7046
Epoch [36/100], Step[426/526], Loss: 0.7633
Epoch [36/100], Step[427/526], Loss: 0.7051
Epoch [36/100], Step[428/526], Loss: 0.7141
Epoch [36/100], Step[429/526], Loss: 0.7367
Epoch [36/100], Step[430/526], Loss: 0.7934
Epoch [36/100], Step[431/526], Loss: 0.7062
Epoch [36/100], Step[432/526], Loss: 0.7292
Epoch [36/100], Step[433/526], Loss: 0.6775
Epoch [36/100], Step[434/526], Loss: 0.6146
Epoch [36/100], Step[435/526], Loss: 0.7812
Epoch [36/100], Step[436/526], Loss: 0.8163
Epoch [36/100], Step[437/526], Loss: 0.5086
Epoch [36/100], Step[438/526], Loss: 0.3666
Epoch [36/100], Step[439/526], Loss: 0.7259
Epoch [36/100], Step[440/526], Loss: 0.6859
Epoch [36/100], Step[441/526], Loss: 0.7031
Epoch [36/100], Step[442/526], Loss: 0.6411
Epoch [36/100], Step[443/526], Loss: 0.6704
Epoch [36/100], Step[444/526], Loss: 0.7553
Epoch [36/100], Step[445/526], Loss: 0.7031
Epoch [36/100], Step[446/526], Loss: 0.7159
Epoch [36/100], Step[447/526], Loss: 0.7177
Epoch [36/100], Step[448/526], Loss: 0.7241
Epoch [36/100], Step[449/526], Loss: 0.6748
Epoch [36/100], Step[450/526], Loss: 0.6103
Epoch [36/100], Step[451/526], Loss: 0.6602
Epoch [36/100], Step[452/526], Loss: 0.7274
Epoch [36/100], Step[453/526], Loss: 0.7111
Epoch [36/100], Step[454/526], Loss: 0.8198
Epoch [36/100], Step[455/526], Loss: 0.6596
Epoch [36/100], Step[456/526], Loss: 0.6270
Epoch [36/100], Step[457/526], Loss: 0.6998
Epoch [36/100], Step[458/526], Loss: 0.6669
Epoch [36/100], Step[459/526], Loss: 0.6650
Epoch [36/100], Step[460/526], Loss: 0.6419
Epoch [36/100], Step[461/526], Loss: 0.6128
Epoch [36/100], Step[462/526], Loss: 0.6737
Epoch [36/100], Step[463/526], Loss: 0.6510
Epoch [36/100], Step[464/526], Loss: 0.6416
Epoch [36/100], Step[465/526], Loss: 0.6607
Epoch [36/100], Step[466/526], Loss: 0.6624
Epoch [36/100], Step[467/526], Loss: 0.6483
Epoch [36/100], Step[468/526], Loss: 0.6280
Epoch [36/100], Step[469/526], Loss: 0.8058
Epoch [36/100], Step[470/526], Loss: 0.6571
Epoch [36/100], Step[471/526], Loss: 0.6958
Epoch [36/100], Step[472/526], Loss: 0.6704
Epoch [36/100], Step[473/526], Loss: 0.6799
Epoch [36/100], Step[474/526], Loss: 0.6775
Epoch [36/100], Step[475/526], Loss: 0.8327
Epoch [36/100], Step[476/526], Loss: 0.7499
Epoch [36/100], Step[477/526], Loss: 0.7044
Epoch [36/100], Step[478/526], Loss: 0.6955
Epoch [36/100], Step[479/526], Loss: 0.6622
Epoch [36/100], Step[480/526], Loss: 0.7362
Epoch [36/100], Step[481/526], Loss: 0.7241
Epoch [36/100], Step[482/526], Loss: 0.6228
Epoch [36/100], Step[483/526], Loss: 0.5464
Epoch [36/100], Step[484/526], Loss: 0.6977
Epoch [36/100], Step[485/526], Loss: 0.7891
Epoch [36/100], Step[486/526], Loss: 0.7254
Epoch [36/100], Step[487/526], Loss: 0.7571
Epoch [36/100], Step[488/526], Loss: 0.6904
Epoch [36/100], Step[489/526], Loss: 0.6319
Epoch [36/100], Step[490/526], Loss: 0.6147
Epoch [36/100], Step[491/526], Loss: 0.6983
Epoch [36/100], Step[492/526], Loss: 0.6501
Epoch [36/100], Step[493/526], Loss: 0.6441
Epoch [36/100], Step[494/526], Loss: 0.6638
Epoch [36/100], Step[495/526], Loss: 0.6901
Epoch [36/100], Step[496/526], Loss: 0.6645
Epoch [36/100], Step[497/526], Loss: 0.6386
Epoch [36/100], Step[498/526], Loss: 0.6773
Epoch [36/100], Step[499/526], Loss: 0.6715
Epoch [36/100], Step[500/526], Loss: 0.6760
Epoch [36/100], Step[501/526], Loss: 0.6573
Epoch [36/100], Step[502/526], Loss: 0.6983
Epoch [36/100], Step[503/526], Loss: 0.7116
Epoch [36/100], Step[504/526], Loss: 0.7008
Epoch [36/100], Step[505/526], Loss: 0.7098
Epoch [36/100], Step[506/526], Loss: 0.6830
Epoch [36/100], Step[507/526], Loss: 0.6731
Epoch [36/100], Step[508/526], Loss: 0.7042
Epoch [36/100], Step[509/526], Loss: 0.6559
Epoch [36/100], Step[510/526], Loss: 0.7034
Epoch [36/100], Step[511/526], Loss: 0.6441
Epoch [36/100], Step[512/526], Loss: 0.6737
Epoch [36/100], Step[513/526], Loss: 0.6451
Epoch [36/100], Step[514/526], Loss: 0.6550
Epoch [36/100], Step[515/526], Loss: 0.5828
Epoch [36/100], Step[516/526], Loss: 0.7516
Epoch [36/100], Step[517/526], Loss: 0.6889
Epoch [36/100], Step[518/526], Loss: 0.7351
Epoch [36/100], Step[519/526], Loss: 0.7126
Epoch [36/100], Step[520/526], Loss: 0.6753
Epoch [36/100], Step[521/526], Loss: 0.6704
Epoch [36/100], Step[522/526], Loss: 0.6069
Epoch [36/100], Step[523/526], Loss: 0.6460
Epoch [36/100], Step[524/526], Loss: 0.6459
Epoch [36/100], Step[525/526], Loss: 0.7420
Epoch [36/100], Step[526/526], Loss: 0.7052
Epoch [37/100], Step[1/526], Loss: 0.6586
Epoch [37/100], Step[2/526], Loss: 0.6445
Epoch [37/100], Step[3/526], Loss: 0.6790
Epoch [37/100], Step[4/526], Loss: 0.6337
Epoch [37/100], Step[5/526], Loss: 0.7356
Epoch [37/100], Step[6/526], Loss: 0.7431
Epoch [37/100], Step[7/526], Loss: 0.6954
Epoch [37/100], Step[8/526], Loss: 0.6801
Epoch [37/100], Step[9/526], Loss: 0.7082
Epoch [37/100], Step[10/526], Loss: 0.6755
Epoch [37/100], Step[11/526], Loss: 0.6682
Epoch [37/100], Step[12/526], Loss: 0.7184
Epoch [37/100], Step[13/526], Loss: 0.6360
Epoch [37/100], Step[14/526], Loss: 0.6597
Epoch [37/100], Step[15/526], Loss: 0.6868
Epoch [37/100], Step[16/526], Loss: 0.7027
Epoch [37/100], Step[17/526], Loss: 0.7094
Epoch [37/100], Step[18/526], Loss: 0.6803
Epoch [37/100], Step[19/526], Loss: 0.6690
Epoch [37/100], Step[20/526], Loss: 0.7066
Epoch [37/100], Step[21/526], Loss: 0.7509
Epoch [37/100], Step[22/526], Loss: 0.7295
Epoch [37/100], Step[23/526], Loss: 0.7355
Epoch [37/100], Step[24/526], Loss: 0.7135
Epoch [37/100], Step[25/526], Loss: 0.6920
Epoch [37/100], Step[26/526], Loss: 0.6382
Epoch [37/100], Step[27/526], Loss: 0.6874
Epoch [37/100], Step[28/526], Loss: 0.6878
Epoch [37/100], Step[29/526], Loss: 0.6610
Epoch [37/100], Step[30/526], Loss: 0.6922
Epoch [37/100], Step[31/526], Loss: 0.7025
Epoch [37/100], Step[32/526], Loss: 0.6671
Epoch [37/100], Step[33/526], Loss: 0.7067
Epoch [37/100], Step[34/526], Loss: 0.6929
Epoch [37/100], Step[35/526], Loss: 0.7098
Epoch [37/100], Step[36/526], Loss: 0.6957
Epoch [37/100], Step[37/526], Loss: 0.6933
Epoch [37/100], Step[38/526], Loss: 0.7095
Epoch [37/100], Step[39/526], Loss: 0.6964
Epoch [37/100], Step[40/526], Loss: 0.7208
Epoch [37/100], Step[41/526], Loss: 0.6576
Epoch [37/100], Step[42/526], Loss: 0.7273
Epoch [37/100], Step[43/526], Loss: 0.7183
Epoch [37/100], Step[44/526], Loss: 0.6835
Epoch [37/100], Step[45/526], Loss: 0.6878
Epoch [37/100], Step[46/526], Loss: 0.6888
Epoch [37/100], Step[47/526], Loss: 0.7086
Epoch [37/100], Step[48/526], Loss: 0.7270
Epoch [37/100], Step[49/526], Loss: 0.7051
Epoch [37/100], Step[50/526], Loss: 0.7144
Epoch [37/100], Step[51/526], Loss: 0.6941
Epoch [37/100], Step[52/526], Loss: 0.6757
Epoch [37/100], Step[53/526], Loss: 0.7180
Epoch [37/100], Step[54/526], Loss: 0.7012
Epoch [37/100], Step[55/526], Loss: 0.6875
Epoch [37/100], Step[56/526], Loss: 0.7018
Epoch [37/100], Step[57/526], Loss: 0.6839
Epoch [37/100], Step[58/526], Loss: 0.6755
Epoch [37/100], Step[59/526], Loss: 0.6597
Epoch [37/100], Step[60/526], Loss: 0.6692
Epoch [37/100], Step[61/526], Loss: 0.6487
Epoch [37/100], Step[62/526], Loss: 0.6971
Epoch [37/100], Step[63/526], Loss: 0.6853
Epoch [37/100], Step[64/526], Loss: 0.6812
Epoch [37/100], Step[65/526], Loss: 0.7235
Epoch [37/100], Step[66/526], Loss: 0.6842
Epoch [37/100], Step[67/526], Loss: 0.6625
Epoch [37/100], Step[68/526], Loss: 0.6511
Epoch [37/100], Step[69/526], Loss: 0.6975
Epoch [37/100], Step[70/526], Loss: 0.6848
Epoch [37/100], Step[71/526], Loss: 0.6650
Epoch [37/100], Step[72/526], Loss: 0.6812
Epoch [37/100], Step[73/526], Loss: 0.7112
Epoch [37/100], Step[74/526], Loss: 0.6627
Epoch [37/100], Step[75/526], Loss: 0.7052
Epoch [37/100], Step[76/526], Loss: 0.6899
Epoch [37/100], Step[77/526], Loss: 0.6938
Epoch [37/100], Step[78/526], Loss: 0.7098
Epoch [37/100], Step[79/526], Loss: 0.6925
Epoch [37/100], Step[80/526], Loss: 0.6927
Epoch [37/100], Step[81/526], Loss: 0.7044
Epoch [37/100], Step[82/526], Loss: 0.7273
Epoch [37/100], Step[83/526], Loss: 0.7077
Epoch [37/100], Step[84/526], Loss: 0.6972
Epoch [37/100], Step[85/526], Loss: 0.6614
Epoch [37/100], Step[86/526], Loss: 0.7072
Epoch [37/100], Step[87/526], Loss: 0.6808
Epoch [37/100], Step[88/526], Loss: 0.6884
Epoch [37/100], Step[89/526], Loss: 0.7214
Epoch [37/100], Step[90/526], Loss: 0.6869
Epoch [37/100], Step[91/526], Loss: 0.6786
Epoch [37/100], Step[92/526], Loss: 0.6798
Epoch [37/100], Step[93/526], Loss: 0.6852
Epoch [37/100], Step[94/526], Loss: 0.8061
Epoch [37/100], Step[95/526], Loss: 0.7174
Epoch [37/100], Step[96/526], Loss: 0.6263
Epoch [37/100], Step[97/526], Loss: 0.5920
Epoch [37/100], Step[98/526], Loss: 0.6916
Epoch [37/100], Step[99/526], Loss: 0.6887
Epoch [37/100], Step[100/526], Loss: 0.6706
Epoch [37/100], Step[101/526], Loss: 0.6569
Epoch [37/100], Step[102/526], Loss: 0.6264
Epoch [37/100], Step[103/526], Loss: 0.6956
Epoch [37/100], Step[104/526], Loss: 0.6429
Epoch [37/100], Step[105/526], Loss: 0.6364
Epoch [37/100], Step[106/526], Loss: 0.6880
Epoch [37/100], Step[107/526], Loss: 0.6389
Epoch [37/100], Step[108/526], Loss: 0.5804
Epoch [37/100], Step[109/526], Loss: 0.6797
Epoch [37/100], Step[110/526], Loss: 0.6891
Epoch [37/100], Step[111/526], Loss: 0.5884
Epoch [37/100], Step[112/526], Loss: 0.7351
Epoch [37/100], Step[113/526], Loss: 0.6053
Epoch [37/100], Step[114/526], Loss: 0.6593
Epoch [37/100], Step[115/526], Loss: 0.6035
Epoch [37/100], Step[116/526], Loss: 0.6212
Epoch [37/100], Step[117/526], Loss: 0.6579
Epoch [37/100], Step[118/526], Loss: 0.7545
Epoch [37/100], Step[119/526], Loss: 0.6743
Epoch [37/100], Step[120/526], Loss: 0.6782
Epoch [37/100], Step[121/526], Loss: 0.6901
Epoch [37/100], Step[122/526], Loss: 0.6284
Epoch [37/100], Step[123/526], Loss: 0.6480
Epoch [37/100], Step[124/526], Loss: 0.6721
Epoch [37/100], Step[125/526], Loss: 0.6321
Epoch [37/100], Step[126/526], Loss: 0.7158
Epoch [37/100], Step[127/526], Loss: 0.6748
Epoch [37/100], Step[128/526], Loss: 0.6421
Epoch [37/100], Step[129/526], Loss: 0.5906
Epoch [37/100], Step[130/526], Loss: 0.5991
Epoch [37/100], Step[131/526], Loss: 0.6717
Epoch [37/100], Step[132/526], Loss: 0.7223
Epoch [37/100], Step[133/526], Loss: 0.6769
Epoch [37/100], Step[134/526], Loss: 0.6290
Epoch [37/100], Step[135/526], Loss: 0.6471
Epoch [37/100], Step[136/526], Loss: 0.5662
Epoch [37/100], Step[137/526], Loss: 0.6402
Epoch [37/100], Step[138/526], Loss: 0.6489
Epoch [37/100], Step[139/526], Loss: 0.7097
Epoch [37/100], Step[140/526], Loss: 0.5897
Epoch [37/100], Step[141/526], Loss: 0.6836
Epoch [37/100], Step[142/526], Loss: 0.6634
Epoch [37/100], Step[143/526], Loss: 0.6879
Epoch [37/100], Step[144/526], Loss: 0.7797
Epoch [37/100], Step[145/526], Loss: 0.5507
Epoch [37/100], Step[146/526], Loss: 0.5108
Epoch [37/100], Step[147/526], Loss: 0.4548
Epoch [37/100], Step[148/526], Loss: 0.5922
Epoch [37/100], Step[149/526], Loss: 0.4965
Epoch [37/100], Step[150/526], Loss: 0.6028
Epoch [37/100], Step[151/526], Loss: 0.5612
Epoch [37/100], Step[152/526], Loss: 0.6236
Epoch [37/100], Step[153/526], Loss: 0.6300
Epoch [37/100], Step[154/526], Loss: 0.7261
Epoch [37/100], Step[155/526], Loss: 0.7183
Epoch [37/100], Step[156/526], Loss: 0.5277
Epoch [37/100], Step[157/526], Loss: 0.2675
Epoch [37/100], Step[158/526], Loss: 0.6073
Epoch [37/100], Step[159/526], Loss: 0.6734
Epoch [37/100], Step[160/526], Loss: 0.5472
Epoch [37/100], Step[161/526], Loss: 0.9676
Epoch [37/100], Step[162/526], Loss: 0.6955
Epoch [37/100], Step[163/526], Loss: 0.7152
Epoch [37/100], Step[164/526], Loss: 0.6196
Epoch [37/100], Step[165/526], Loss: 0.7210
Epoch [37/100], Step[166/526], Loss: 0.4996
Epoch [37/100], Step[167/526], Loss: 0.5397
Epoch [37/100], Step[168/526], Loss: 0.6866
Epoch [37/100], Step[169/526], Loss: 0.7491
Epoch [37/100], Step[170/526], Loss: 0.7004
Epoch [37/100], Step[171/526], Loss: 0.7272
Epoch [37/100], Step[172/526], Loss: 0.7142
Epoch [37/100], Step[173/526], Loss: 0.8153
Epoch [37/100], Step[174/526], Loss: 0.6380
Epoch [37/100], Step[175/526], Loss: 0.6595
Epoch [37/100], Step[176/526], Loss: 0.6244
Epoch [37/100], Step[177/526], Loss: 0.6612
Epoch [37/100], Step[178/526], Loss: 0.6885
Epoch [37/100], Step[179/526], Loss: 0.6373
Epoch [37/100], Step[180/526], Loss: 0.6753
Epoch [37/100], Step[181/526], Loss: 0.6419
Epoch [37/100], Step[182/526], Loss: 0.6860
Epoch [37/100], Step[183/526], Loss: 0.5307
Epoch [37/100], Step[184/526], Loss: 0.5985
Epoch [37/100], Step[185/526], Loss: 0.5995
Epoch [37/100], Step[186/526], Loss: 0.6616
Epoch [37/100], Step[187/526], Loss: 0.7485
Epoch [37/100], Step[188/526], Loss: 0.6990
Epoch [37/100], Step[189/526], Loss: 0.6770
Epoch [37/100], Step[190/526], Loss: 0.6043
Epoch [37/100], Step[191/526], Loss: 0.7156
Epoch [37/100], Step[192/526], Loss: 0.7725
Epoch [37/100], Step[193/526], Loss: 0.6557
Epoch [37/100], Step[194/526], Loss: 0.6131
Epoch [37/100], Step[195/526], Loss: 0.6500
Epoch [37/100], Step[196/526], Loss: 0.7326
Epoch [37/100], Step[197/526], Loss: 0.6834
Epoch [37/100], Step[198/526], Loss: 0.6335
Epoch [37/100], Step[199/526], Loss: 0.7339
Epoch [37/100], Step[200/526], Loss: 0.6727
Epoch [37/100], Step[201/526], Loss: 0.6769
Epoch [37/100], Step[202/526], Loss: 0.7448
Epoch [37/100], Step[203/526], Loss: 0.7062
Epoch [37/100], Step[204/526], Loss: 0.7247
Epoch [37/100], Step[205/526], Loss: 0.7036
Epoch [37/100], Step[206/526], Loss: 0.6825
Epoch [37/100], Step[207/526], Loss: 0.7119
Epoch [37/100], Step[208/526], Loss: 0.6821
Epoch [37/100], Step[209/526], Loss: 0.6833
Epoch [37/100], Step[210/526], Loss: 0.7728
Epoch [37/100], Step[211/526], Loss: 0.6361
Epoch [37/100], Step[212/526], Loss: 0.6878
Epoch [37/100], Step[213/526], Loss: 0.7201
Epoch [37/100], Step[214/526], Loss: 0.7479
Epoch [37/100], Step[215/526], Loss: 0.6955
Epoch [37/100], Step[216/526], Loss: 0.6783
Epoch [37/100], Step[217/526], Loss: 0.6760
Epoch [37/100], Step[218/526], Loss: 0.6986
Epoch [37/100], Step[219/526], Loss: 0.6956
Epoch [37/100], Step[220/526], Loss: 0.7300
Epoch [37/100], Step[221/526], Loss: 0.6957
Epoch [37/100], Step[222/526], Loss: 0.7463
Epoch [37/100], Step[223/526], Loss: 0.6780
Epoch [37/100], Step[224/526], Loss: 0.6831
Epoch [37/100], Step[225/526], Loss: 0.7251
Epoch [37/100], Step[226/526], Loss: 0.6770
Epoch [37/100], Step[227/526], Loss: 0.6716
Epoch [37/100], Step[228/526], Loss: 0.6643
Epoch [37/100], Step[229/526], Loss: 0.6885
Epoch [37/100], Step[230/526], Loss: 0.6609
Epoch [37/100], Step[231/526], Loss: 0.6658
Epoch [37/100], Step[232/526], Loss: 0.7092
Epoch [37/100], Step[233/526], Loss: 0.6849
Epoch [37/100], Step[234/526], Loss: 0.6802
Epoch [37/100], Step[235/526], Loss: 0.7092
Epoch [37/100], Step[236/526], Loss: 0.6928
Epoch [37/100], Step[237/526], Loss: 0.7182
Epoch [37/100], Step[238/526], Loss: 0.6836
Epoch [37/100], Step[239/526], Loss: 0.6709
Epoch [37/100], Step[240/526], Loss: 0.7265
Epoch [37/100], Step[241/526], Loss: 0.6963
Epoch [37/100], Step[242/526], Loss: 0.7093
Epoch [37/100], Step[243/526], Loss: 0.6179
Epoch [37/100], Step[244/526], Loss: 0.6529
Epoch [37/100], Step[245/526], Loss: 0.6427
Epoch [37/100], Step[246/526], Loss: 0.6660
Epoch [37/100], Step[247/526], Loss: 0.6232
Epoch [37/100], Step[248/526], Loss: 0.6538
Epoch [37/100], Step[249/526], Loss: 0.6660
Epoch [37/100], Step[250/526], Loss: 0.6801
Epoch [37/100], Step[251/526], Loss: 0.7007
Epoch [37/100], Step[252/526], Loss: 0.6939
Epoch [37/100], Step[253/526], Loss: 0.6312
Epoch [37/100], Step[254/526], Loss: 0.6638
Epoch [37/100], Step[255/526], Loss: 0.6038
Epoch [37/100], Step[256/526], Loss: 0.6900
Epoch [37/100], Step[257/526], Loss: 0.6661
Epoch [37/100], Step[258/526], Loss: 0.6297
Epoch [37/100], Step[259/526], Loss: 0.6841
Epoch [37/100], Step[260/526], Loss: 0.7377
Epoch [37/100], Step[261/526], Loss: 0.7502
Epoch [37/100], Step[262/526], Loss: 0.6809
Epoch [37/100], Step[263/526], Loss: 0.6654
Epoch [37/100], Step[264/526], Loss: 0.6425
Epoch [37/100], Step[265/526], Loss: 0.6357
Epoch [37/100], Step[266/526], Loss: 0.6350
Epoch [37/100], Step[267/526], Loss: 0.5003
Epoch [37/100], Step[268/526], Loss: 0.5465
Epoch [37/100], Step[269/526], Loss: 0.4592
Epoch [37/100], Step[270/526], Loss: 0.3909
Epoch [37/100], Step[271/526], Loss: 0.5179
Epoch [37/100], Step[272/526], Loss: 0.5363
Epoch [37/100], Step[273/526], Loss: 0.6295
Epoch [37/100], Step[274/526], Loss: 0.4349
Epoch [37/100], Step[275/526], Loss: 0.4214
Epoch [37/100], Step[276/526], Loss: 0.4680
Epoch [37/100], Step[277/526], Loss: 0.4295
Epoch [37/100], Step[278/526], Loss: 0.4612
Epoch [37/100], Step[279/526], Loss: 0.4104
Epoch [37/100], Step[280/526], Loss: 0.4516
Epoch [37/100], Step[281/526], Loss: 0.6265
Epoch [37/100], Step[282/526], Loss: 0.3601
Epoch [37/100], Step[283/526], Loss: 0.3713
Epoch [37/100], Step[284/526], Loss: 0.4002
Epoch [37/100], Step[285/526], Loss: 0.2778
Epoch [37/100], Step[286/526], Loss: 0.6972
Epoch [37/100], Step[287/526], Loss: 0.4812
Epoch [37/100], Step[288/526], Loss: 0.4360
Epoch [37/100], Step[289/526], Loss: 0.6158
Epoch [37/100], Step[290/526], Loss: 0.4250
Epoch [37/100], Step[291/526], Loss: 0.4848
Epoch [37/100], Step[292/526], Loss: 0.2570
Epoch [37/100], Step[293/526], Loss: 0.3175
Epoch [37/100], Step[294/526], Loss: 0.3235
Epoch [37/100], Step[295/526], Loss: 0.4245
Epoch [37/100], Step[296/526], Loss: 0.6236
Epoch [37/100], Step[297/526], Loss: 0.2909
Epoch [37/100], Step[298/526], Loss: 0.2901
Epoch [37/100], Step[299/526], Loss: 0.2405
Epoch [37/100], Step[300/526], Loss: 0.2990
Epoch [37/100], Step[301/526], Loss: 0.6126
Epoch [37/100], Step[302/526], Loss: 0.3195
Epoch [37/100], Step[303/526], Loss: 0.4787
Epoch [37/100], Step[304/526], Loss: 0.2574
Epoch [37/100], Step[305/526], Loss: 0.2601
Epoch [37/100], Step[306/526], Loss: 0.5780
Epoch [37/100], Step[307/526], Loss: 0.8899
Epoch [37/100], Step[308/526], Loss: 1.3099
Epoch [37/100], Step[309/526], Loss: 0.8490
Epoch [37/100], Step[310/526], Loss: 0.9621
Epoch [37/100], Step[311/526], Loss: 0.8186
Epoch [37/100], Step[312/526], Loss: 0.4917
Epoch [37/100], Step[313/526], Loss: 0.4814
Epoch [37/100], Step[314/526], Loss: 0.6532
Epoch [37/100], Step[315/526], Loss: 0.7006
Epoch [37/100], Step[316/526], Loss: 0.4911
Epoch [37/100], Step[317/526], Loss: 0.3215
Epoch [37/100], Step[318/526], Loss: 0.7633
Epoch [37/100], Step[319/526], Loss: 0.3531
Epoch [37/100], Step[320/526], Loss: 0.6053
Epoch [37/100], Step[321/526], Loss: 0.7089
Epoch [37/100], Step[322/526], Loss: 0.2649
Epoch [37/100], Step[323/526], Loss: 0.6141
Epoch [37/100], Step[324/526], Loss: 0.6586
Epoch [37/100], Step[325/526], Loss: 0.5757
Epoch [37/100], Step[326/526], Loss: 0.7694
Epoch [37/100], Step[327/526], Loss: 0.7325
Epoch [37/100], Step[328/526], Loss: 0.9254
Epoch [37/100], Step[329/526], Loss: 1.2647
Epoch [37/100], Step[330/526], Loss: 1.0375
Epoch [37/100], Step[331/526], Loss: 0.7941
Epoch [37/100], Step[332/526], Loss: 0.8441
Epoch [37/100], Step[333/526], Loss: 0.7822
Epoch [37/100], Step[334/526], Loss: 0.7787
Epoch [37/100], Step[335/526], Loss: 0.8012
Epoch [37/100], Step[336/526], Loss: 0.6997
Epoch [37/100], Step[337/526], Loss: 0.5940
Epoch [37/100], Step[338/526], Loss: 0.7062
Epoch [37/100], Step[339/526], Loss: 0.6448
Epoch [37/100], Step[340/526], Loss: 0.7259
Epoch [37/100], Step[341/526], Loss: 0.7781
Epoch [37/100], Step[342/526], Loss: 0.7882
Epoch [37/100], Step[343/526], Loss: 0.5418
Epoch [37/100], Step[344/526], Loss: 0.7333
Epoch [37/100], Step[345/526], Loss: 0.6511
Epoch [37/100], Step[346/526], Loss: 0.6734
Epoch [37/100], Step[347/526], Loss: 0.7072
Epoch [37/100], Step[348/526], Loss: 0.6346
Epoch [37/100], Step[349/526], Loss: 0.5787
Epoch [37/100], Step[350/526], Loss: 0.6742
Epoch [37/100], Step[351/526], Loss: 0.7168
Epoch [37/100], Step[352/526], Loss: 0.6118
Epoch [37/100], Step[353/526], Loss: 0.6867
Epoch [37/100], Step[354/526], Loss: 0.6705
Epoch [37/100], Step[355/526], Loss: 0.6735
Epoch [37/100], Step[356/526], Loss: 0.7045
Epoch [37/100], Step[357/526], Loss: 0.6584
Epoch [37/100], Step[358/526], Loss: 0.6972
Epoch [37/100], Step[359/526], Loss: 0.6556
Epoch [37/100], Step[360/526], Loss: 0.6755
Epoch [37/100], Step[361/526], Loss: 0.7286
Epoch [37/100], Step[362/526], Loss: 0.7056
Epoch [37/100], Step[363/526], Loss: 0.6928
Epoch [37/100], Step[364/526], Loss: 0.7124
Epoch [37/100], Step[365/526], Loss: 0.7132
Epoch [37/100], Step[366/526], Loss: 0.6880
Epoch [37/100], Step[367/526], Loss: 0.6892
Epoch [37/100], Step[368/526], Loss: 0.6500
Epoch [37/100], Step[369/526], Loss: 0.6583
Epoch [37/100], Step[370/526], Loss: 0.6336
Epoch [37/100], Step[371/526], Loss: 0.7351
Epoch [37/100], Step[372/526], Loss: 0.6420
Epoch [37/100], Step[373/526], Loss: 0.6758
Epoch [37/100], Step[374/526], Loss: 0.7008
Epoch [37/100], Step[375/526], Loss: 0.6487
Epoch [37/100], Step[376/526], Loss: 0.6470
Epoch [37/100], Step[377/526], Loss: 0.6863
Epoch [37/100], Step[378/526], Loss: 0.6925
Epoch [37/100], Step[379/526], Loss: 0.7445
Epoch [37/100], Step[380/526], Loss: 0.6111
Epoch [37/100], Step[381/526], Loss: 0.5964
Epoch [37/100], Step[382/526], Loss: 0.6710
Epoch [37/100], Step[383/526], Loss: 0.6925
Epoch [37/100], Step[384/526], Loss: 0.6322
Epoch [37/100], Step[385/526], Loss: 0.6290
Epoch [37/100], Step[386/526], Loss: 0.6616
Epoch [37/100], Step[387/526], Loss: 0.6546
Epoch [37/100], Step[388/526], Loss: 0.5945
Epoch [37/100], Step[389/526], Loss: 0.7177
Epoch [37/100], Step[390/526], Loss: 0.5908
Epoch [37/100], Step[391/526], Loss: 0.6528
Epoch [37/100], Step[392/526], Loss: 0.6995
Epoch [37/100], Step[393/526], Loss: 0.5863
Epoch [37/100], Step[394/526], Loss: 0.5159
Epoch [37/100], Step[395/526], Loss: 0.6241
Epoch [37/100], Step[396/526], Loss: 0.6300
Epoch [37/100], Step[397/526], Loss: 0.4727
Epoch [37/100], Step[398/526], Loss: 0.6021
Epoch [37/100], Step[399/526], Loss: 0.6515
Epoch [37/100], Step[400/526], Loss: 0.4744
Epoch [37/100], Step[401/526], Loss: 0.5964
Epoch [37/100], Step[402/526], Loss: 0.6379
Epoch [37/100], Step[403/526], Loss: 0.7495
Epoch [37/100], Step[404/526], Loss: 0.4815
Epoch [37/100], Step[405/526], Loss: 0.5027
Epoch [37/100], Step[406/526], Loss: 0.6313
Epoch [37/100], Step[407/526], Loss: 0.7516
Epoch [37/100], Step[408/526], Loss: 0.6528
Epoch [37/100], Step[409/526], Loss: 0.4677
Epoch [37/100], Step[410/526], Loss: 0.4930
Epoch [37/100], Step[411/526], Loss: 0.5357
Epoch [37/100], Step[412/526], Loss: 0.5918
Epoch [37/100], Step[413/526], Loss: 0.5991
Epoch [37/100], Step[414/526], Loss: 0.6390
Epoch [37/100], Step[415/526], Loss: 0.6098
Epoch [37/100], Step[416/526], Loss: 0.5413
Epoch [37/100], Step[417/526], Loss: 0.4450
Epoch [37/100], Step[418/526], Loss: 0.7456
Epoch [37/100], Step[419/526], Loss: 0.6843
Epoch [37/100], Step[420/526], Loss: 0.6858
Epoch [37/100], Step[421/526], Loss: 0.6356
Epoch [37/100], Step[422/526], Loss: 0.7797
Epoch [37/100], Step[423/526], Loss: 0.7019
Epoch [37/100], Step[424/526], Loss: 0.7432
Epoch [37/100], Step[425/526], Loss: 0.7021
Epoch [37/100], Step[426/526], Loss: 0.7632
Epoch [37/100], Step[427/526], Loss: 0.7046
Epoch [37/100], Step[428/526], Loss: 0.7141
Epoch [37/100], Step[429/526], Loss: 0.7365
Epoch [37/100], Step[430/526], Loss: 0.7917
Epoch [37/100], Step[431/526], Loss: 0.7044
Epoch [37/100], Step[432/526], Loss: 0.7287
Epoch [37/100], Step[433/526], Loss: 0.6766
Epoch [37/100], Step[434/526], Loss: 0.6136
Epoch [37/100], Step[435/526], Loss: 0.7784
Epoch [37/100], Step[436/526], Loss: 0.8141
Epoch [37/100], Step[437/526], Loss: 0.5075
Epoch [37/100], Step[438/526], Loss: 0.3680
Epoch [37/100], Step[439/526], Loss: 0.7244
Epoch [37/100], Step[440/526], Loss: 0.6858
Epoch [37/100], Step[441/526], Loss: 0.7000
Epoch [37/100], Step[442/526], Loss: 0.6417
Epoch [37/100], Step[443/526], Loss: 0.6710
Epoch [37/100], Step[444/526], Loss: 0.7540
Epoch [37/100], Step[445/526], Loss: 0.7033
Epoch [37/100], Step[446/526], Loss: 0.7155
Epoch [37/100], Step[447/526], Loss: 0.7166
Epoch [37/100], Step[448/526], Loss: 0.7226
Epoch [37/100], Step[449/526], Loss: 0.6740
Epoch [37/100], Step[450/526], Loss: 0.6083
Epoch [37/100], Step[451/526], Loss: 0.6610
Epoch [37/100], Step[452/526], Loss: 0.7267
Epoch [37/100], Step[453/526], Loss: 0.7090
Epoch [37/100], Step[454/526], Loss: 0.8192
Epoch [37/100], Step[455/526], Loss: 0.6539
Epoch [37/100], Step[456/526], Loss: 0.6311
Epoch [37/100], Step[457/526], Loss: 0.7029
Epoch [37/100], Step[458/526], Loss: 0.6716
Epoch [37/100], Step[459/526], Loss: 0.6654
Epoch [37/100], Step[460/526], Loss: 0.6426
Epoch [37/100], Step[461/526], Loss: 0.6134
Epoch [37/100], Step[462/526], Loss: 0.6742
Epoch [37/100], Step[463/526], Loss: 0.6512
Epoch [37/100], Step[464/526], Loss: 0.6416
Epoch [37/100], Step[465/526], Loss: 0.6612
Epoch [37/100], Step[466/526], Loss: 0.6629
Epoch [37/100], Step[467/526], Loss: 0.6486
Epoch [37/100], Step[468/526], Loss: 0.6271
Epoch [37/100], Step[469/526], Loss: 0.8051
Epoch [37/100], Step[470/526], Loss: 0.6572
Epoch [37/100], Step[471/526], Loss: 0.6961
Epoch [37/100], Step[472/526], Loss: 0.6704
Epoch [37/100], Step[473/526], Loss: 0.6804
Epoch [37/100], Step[474/526], Loss: 0.6774
Epoch [37/100], Step[475/526], Loss: 0.8329
Epoch [37/100], Step[476/526], Loss: 0.7491
Epoch [37/100], Step[477/526], Loss: 0.7052
Epoch [37/100], Step[478/526], Loss: 0.6951
Epoch [37/100], Step[479/526], Loss: 0.6621
Epoch [37/100], Step[480/526], Loss: 0.7361
Epoch [37/100], Step[481/526], Loss: 0.7248
Epoch [37/100], Step[482/526], Loss: 0.6222
Epoch [37/100], Step[483/526], Loss: 0.5457
Epoch [37/100], Step[484/526], Loss: 0.6977
Epoch [37/100], Step[485/526], Loss: 0.7875
Epoch [37/100], Step[486/526], Loss: 0.7250
Epoch [37/100], Step[487/526], Loss: 0.7575
Epoch [37/100], Step[488/526], Loss: 0.6908
Epoch [37/100], Step[489/526], Loss: 0.6314
Epoch [37/100], Step[490/526], Loss: 0.6147
Epoch [37/100], Step[491/526], Loss: 0.6986
Epoch [37/100], Step[492/526], Loss: 0.6503
Epoch [37/100], Step[493/526], Loss: 0.6440
Epoch [37/100], Step[494/526], Loss: 0.6637
Epoch [37/100], Step[495/526], Loss: 0.6897
Epoch [37/100], Step[496/526], Loss: 0.6647
Epoch [37/100], Step[497/526], Loss: 0.6389
Epoch [37/100], Step[498/526], Loss: 0.6770
Epoch [37/100], Step[499/526], Loss: 0.6712
Epoch [37/100], Step[500/526], Loss: 0.6759
Epoch [37/100], Step[501/526], Loss: 0.6569
Epoch [37/100], Step[502/526], Loss: 0.6980
Epoch [37/100], Step[503/526], Loss: 0.7116
Epoch [37/100], Step[504/526], Loss: 0.7006
Epoch [37/100], Step[505/526], Loss: 0.7098
Epoch [37/100], Step[506/526], Loss: 0.6828
Epoch [37/100], Step[507/526], Loss: 0.6730
Epoch [37/100], Step[508/526], Loss: 0.7042
Epoch [37/100], Step[509/526], Loss: 0.6559
Epoch [37/100], Step[510/526], Loss: 0.7032
Epoch [37/100], Step[511/526], Loss: 0.6442
Epoch [37/100], Step[512/526], Loss: 0.6739
Epoch [37/100], Step[513/526], Loss: 0.6449
Epoch [37/100], Step[514/526], Loss: 0.6549
Epoch [37/100], Step[515/526], Loss: 0.5831
Epoch [37/100], Step[516/526], Loss: 0.7512
Epoch [37/100], Step[517/526], Loss: 0.6890
Epoch [37/100], Step[518/526], Loss: 0.7348
Epoch [37/100], Step[519/526], Loss: 0.7127
Epoch [37/100], Step[520/526], Loss: 0.6752
Epoch [37/100], Step[521/526], Loss: 0.6701
Epoch [37/100], Step[522/526], Loss: 0.6069
Epoch [37/100], Step[523/526], Loss: 0.6460
Epoch [37/100], Step[524/526], Loss: 0.6457
Epoch [37/100], Step[525/526], Loss: 0.7414
Epoch [37/100], Step[526/526], Loss: 0.7052
Epoch [38/100], Step[1/526], Loss: 0.6587
Epoch [38/100], Step[2/526], Loss: 0.6447
Epoch [38/100], Step[3/526], Loss: 0.6793
Epoch [38/100], Step[4/526], Loss: 0.6335
Epoch [38/100], Step[5/526], Loss: 0.7358
Epoch [38/100], Step[6/526], Loss: 0.7437
Epoch [38/100], Step[7/526], Loss: 0.6960
Epoch [38/100], Step[8/526], Loss: 0.6803
Epoch [38/100], Step[9/526], Loss: 0.7087
Epoch [38/100], Step[10/526], Loss: 0.6759
Epoch [38/100], Step[11/526], Loss: 0.6675
Epoch [38/100], Step[12/526], Loss: 0.7184
Epoch [38/100], Step[13/526], Loss: 0.6356
Epoch [38/100], Step[14/526], Loss: 0.6598
Epoch [38/100], Step[15/526], Loss: 0.6863
Epoch [38/100], Step[16/526], Loss: 0.7032
Epoch [38/100], Step[17/526], Loss: 0.7098
Epoch [38/100], Step[18/526], Loss: 0.6833
Epoch [38/100], Step[19/526], Loss: 0.6727
Epoch [38/100], Step[20/526], Loss: 0.7077
Epoch [38/100], Step[21/526], Loss: 0.7506
Epoch [38/100], Step[22/526], Loss: 0.7285
Epoch [38/100], Step[23/526], Loss: 0.7354
Epoch [38/100], Step[24/526], Loss: 0.7139
Epoch [38/100], Step[25/526], Loss: 0.6914
Epoch [38/100], Step[26/526], Loss: 0.6380
Epoch [38/100], Step[27/526], Loss: 0.6873
Epoch [38/100], Step[28/526], Loss: 0.6876
Epoch [38/100], Step[29/526], Loss: 0.6608
Epoch [38/100], Step[30/526], Loss: 0.6922
Epoch [38/100], Step[31/526], Loss: 0.7025
Epoch [38/100], Step[32/526], Loss: 0.6669
Epoch [38/100], Step[33/526], Loss: 0.7068
Epoch [38/100], Step[34/526], Loss: 0.6930
Epoch [38/100], Step[35/526], Loss: 0.7099
Epoch [38/100], Step[36/526], Loss: 0.6967
Epoch [38/100], Step[37/526], Loss: 0.6931
Epoch [38/100], Step[38/526], Loss: 0.7094
Epoch [38/100], Step[39/526], Loss: 0.6956
Epoch [38/100], Step[40/526], Loss: 0.7159
Epoch [38/100], Step[41/526], Loss: 0.6585
Epoch [38/100], Step[42/526], Loss: 0.7272
Epoch [38/100], Step[43/526], Loss: 0.7183
Epoch [38/100], Step[44/526], Loss: 0.6838
Epoch [38/100], Step[45/526], Loss: 0.6886
Epoch [38/100], Step[46/526], Loss: 0.6887
Epoch [38/100], Step[47/526], Loss: 0.7072
Epoch [38/100], Step[48/526], Loss: 0.7261
Epoch [38/100], Step[49/526], Loss: 0.7045
Epoch [38/100], Step[50/526], Loss: 0.7138
Epoch [38/100], Step[51/526], Loss: 0.6942
Epoch [38/100], Step[52/526], Loss: 0.6762
Epoch [38/100], Step[53/526], Loss: 0.7178
Epoch [38/100], Step[54/526], Loss: 0.7012
Epoch [38/100], Step[55/526], Loss: 0.6877
Epoch [38/100], Step[56/526], Loss: 0.7015
Epoch [38/100], Step[57/526], Loss: 0.6840
Epoch [38/100], Step[58/526], Loss: 0.6755
Epoch [38/100], Step[59/526], Loss: 0.6590
Epoch [38/100], Step[60/526], Loss: 0.6694
Epoch [38/100], Step[61/526], Loss: 0.6490
Epoch [38/100], Step[62/526], Loss: 0.6972
Epoch [38/100], Step[63/526], Loss: 0.6857
Epoch [38/100], Step[64/526], Loss: 0.6813
Epoch [38/100], Step[65/526], Loss: 0.7237
Epoch [38/100], Step[66/526], Loss: 0.6842
Epoch [38/100], Step[67/526], Loss: 0.6624
Epoch [38/100], Step[68/526], Loss: 0.6507
Epoch [38/100], Step[69/526], Loss: 0.6970
Epoch [38/100], Step[70/526], Loss: 0.6847
Epoch [38/100], Step[71/526], Loss: 0.6657
Epoch [38/100], Step[72/526], Loss: 0.6817
Epoch [38/100], Step[73/526], Loss: 0.7114
Epoch [38/100], Step[74/526], Loss: 0.6651
Epoch [38/100], Step[75/526], Loss: 0.7051
Epoch [38/100], Step[76/526], Loss: 0.6898
Epoch [38/100], Step[77/526], Loss: 0.6941
Epoch [38/100], Step[78/526], Loss: 0.7094
Epoch [38/100], Step[79/526], Loss: 0.6926
Epoch [38/100], Step[80/526], Loss: 0.6916
Epoch [38/100], Step[81/526], Loss: 0.7040
Epoch [38/100], Step[82/526], Loss: 0.7271
Epoch [38/100], Step[83/526], Loss: 0.7075
Epoch [38/100], Step[84/526], Loss: 0.6978
Epoch [38/100], Step[85/526], Loss: 0.6649
Epoch [38/100], Step[86/526], Loss: 0.7087
Epoch [38/100], Step[87/526], Loss: 0.6838
Epoch [38/100], Step[88/526], Loss: 0.6891
Epoch [38/100], Step[89/526], Loss: 0.7213
Epoch [38/100], Step[90/526], Loss: 0.6859
Epoch [38/100], Step[91/526], Loss: 0.6798
Epoch [38/100], Step[92/526], Loss: 0.6803
Epoch [38/100], Step[93/526], Loss: 0.6866
Epoch [38/100], Step[94/526], Loss: 0.8046
Epoch [38/100], Step[95/526], Loss: 0.7169
Epoch [38/100], Step[96/526], Loss: 0.6264
Epoch [38/100], Step[97/526], Loss: 0.5944
Epoch [38/100], Step[98/526], Loss: 0.6930
Epoch [38/100], Step[99/526], Loss: 0.6870
Epoch [38/100], Step[100/526], Loss: 0.6721
Epoch [38/100], Step[101/526], Loss: 0.6582
Epoch [38/100], Step[102/526], Loss: 0.6314
Epoch [38/100], Step[103/526], Loss: 0.6998
Epoch [38/100], Step[104/526], Loss: 0.6478
Epoch [38/100], Step[105/526], Loss: 0.6395
Epoch [38/100], Step[106/526], Loss: 0.6895
Epoch [38/100], Step[107/526], Loss: 0.6386
Epoch [38/100], Step[108/526], Loss: 0.5792
Epoch [38/100], Step[109/526], Loss: 0.6706
Epoch [38/100], Step[110/526], Loss: 0.6847
Epoch [38/100], Step[111/526], Loss: 0.5910
Epoch [38/100], Step[112/526], Loss: 0.7347
Epoch [38/100], Step[113/526], Loss: 0.6064
Epoch [38/100], Step[114/526], Loss: 0.6595
Epoch [38/100], Step[115/526], Loss: 0.6030
Epoch [38/100], Step[116/526], Loss: 0.6256
Epoch [38/100], Step[117/526], Loss: 0.6601
Epoch [38/100], Step[118/526], Loss: 0.7538
Epoch [38/100], Step[119/526], Loss: 0.6771
Epoch [38/100], Step[120/526], Loss: 0.6785
Epoch [38/100], Step[121/526], Loss: 0.6936
Epoch [38/100], Step[122/526], Loss: 0.6272
Epoch [38/100], Step[123/526], Loss: 0.6471
Epoch [38/100], Step[124/526], Loss: 0.6718
Epoch [38/100], Step[125/526], Loss: 0.6354
Epoch [38/100], Step[126/526], Loss: 0.7181
Epoch [38/100], Step[127/526], Loss: 0.6737
Epoch [38/100], Step[128/526], Loss: 0.6447
Epoch [38/100], Step[129/526], Loss: 0.5948
Epoch [38/100], Step[130/526], Loss: 0.6102
Epoch [38/100], Step[131/526], Loss: 0.6697
Epoch [38/100], Step[132/526], Loss: 0.7190
Epoch [38/100], Step[133/526], Loss: 0.6755
Epoch [38/100], Step[134/526], Loss: 0.6284
Epoch [38/100], Step[135/526], Loss: 0.6447
Epoch [38/100], Step[136/526], Loss: 0.5673
Epoch [38/100], Step[137/526], Loss: 0.6399
Epoch [38/100], Step[138/526], Loss: 0.6492
Epoch [38/100], Step[139/526], Loss: 0.7070
Epoch [38/100], Step[140/526], Loss: 0.5905
Epoch [38/100], Step[141/526], Loss: 0.6839
Epoch [38/100], Step[142/526], Loss: 0.6634
Epoch [38/100], Step[143/526], Loss: 0.6881
Epoch [38/100], Step[144/526], Loss: 0.7792
Epoch [38/100], Step[145/526], Loss: 0.5495
Epoch [38/100], Step[146/526], Loss: 0.5103
Epoch [38/100], Step[147/526], Loss: 0.4578
Epoch [38/100], Step[148/526], Loss: 0.5912
Epoch [38/100], Step[149/526], Loss: 0.4963
Epoch [38/100], Step[150/526], Loss: 0.6000
Epoch [38/100], Step[151/526], Loss: 0.5602
Epoch [38/100], Step[152/526], Loss: 0.6225
Epoch [38/100], Step[153/526], Loss: 0.6294
Epoch [38/100], Step[154/526], Loss: 0.7259
Epoch [38/100], Step[155/526], Loss: 0.7192
Epoch [38/100], Step[156/526], Loss: 0.5266
Epoch [38/100], Step[157/526], Loss: 0.2672
Epoch [38/100], Step[158/526], Loss: 0.6078
Epoch [38/100], Step[159/526], Loss: 0.6696
Epoch [38/100], Step[160/526], Loss: 0.5493
Epoch [38/100], Step[161/526], Loss: 0.9703
Epoch [38/100], Step[162/526], Loss: 0.6956
Epoch [38/100], Step[163/526], Loss: 0.7163
Epoch [38/100], Step[164/526], Loss: 0.6200
Epoch [38/100], Step[165/526], Loss: 0.7261
Epoch [38/100], Step[166/526], Loss: 0.5024
Epoch [38/100], Step[167/526], Loss: 0.5377
Epoch [38/100], Step[168/526], Loss: 0.6842
Epoch [38/100], Step[169/526], Loss: 0.7492
Epoch [38/100], Step[170/526], Loss: 0.7009
Epoch [38/100], Step[171/526], Loss: 0.7281
Epoch [38/100], Step[172/526], Loss: 0.7143
Epoch [38/100], Step[173/526], Loss: 0.8163
Epoch [38/100], Step[174/526], Loss: 0.6282
Epoch [38/100], Step[175/526], Loss: 0.6592
Epoch [38/100], Step[176/526], Loss: 0.6237
Epoch [38/100], Step[177/526], Loss: 0.6621
Epoch [38/100], Step[178/526], Loss: 0.6880
Epoch [38/100], Step[179/526], Loss: 0.6359
Epoch [38/100], Step[180/526], Loss: 0.6752
Epoch [38/100], Step[181/526], Loss: 0.6416
Epoch [38/100], Step[182/526], Loss: 0.6812
Epoch [38/100], Step[183/526], Loss: 0.5307
Epoch [38/100], Step[184/526], Loss: 0.5970
Epoch [38/100], Step[185/526], Loss: 0.6017
Epoch [38/100], Step[186/526], Loss: 0.6636
Epoch [38/100], Step[187/526], Loss: 0.7440
Epoch [38/100], Step[188/526], Loss: 0.6986
Epoch [38/100], Step[189/526], Loss: 0.6774
Epoch [38/100], Step[190/526], Loss: 0.6258
Epoch [38/100], Step[191/526], Loss: 0.7182
Epoch [38/100], Step[192/526], Loss: 0.8096
Epoch [38/100], Step[193/526], Loss: 0.6554
Epoch [38/100], Step[194/526], Loss: 0.6135
Epoch [38/100], Step[195/526], Loss: 0.6496
Epoch [38/100], Step[196/526], Loss: 0.7313
Epoch [38/100], Step[197/526], Loss: 0.6840
Epoch [38/100], Step[198/526], Loss: 0.6340
Epoch [38/100], Step[199/526], Loss: 0.7350
Epoch [38/100], Step[200/526], Loss: 0.6728
Epoch [38/100], Step[201/526], Loss: 0.6766
Epoch [38/100], Step[202/526], Loss: 0.7426
Epoch [38/100], Step[203/526], Loss: 0.7057
Epoch [38/100], Step[204/526], Loss: 0.7232
Epoch [38/100], Step[205/526], Loss: 0.7027
Epoch [38/100], Step[206/526], Loss: 0.6825
Epoch [38/100], Step[207/526], Loss: 0.7119
Epoch [38/100], Step[208/526], Loss: 0.6821
Epoch [38/100], Step[209/526], Loss: 0.6833
Epoch [38/100], Step[210/526], Loss: 0.7705
Epoch [38/100], Step[211/526], Loss: 0.6360
Epoch [38/100], Step[212/526], Loss: 0.6879
Epoch [38/100], Step[213/526], Loss: 0.7204
Epoch [38/100], Step[214/526], Loss: 0.7469
Epoch [38/100], Step[215/526], Loss: 0.6952
Epoch [38/100], Step[216/526], Loss: 0.6782
Epoch [38/100], Step[217/526], Loss: 0.6755
Epoch [38/100], Step[218/526], Loss: 0.6987
Epoch [38/100], Step[219/526], Loss: 0.6951
Epoch [38/100], Step[220/526], Loss: 0.7293
Epoch [38/100], Step[221/526], Loss: 0.6949
Epoch [38/100], Step[222/526], Loss: 0.7457
Epoch [38/100], Step[223/526], Loss: 0.6781
Epoch [38/100], Step[224/526], Loss: 0.6835
Epoch [38/100], Step[225/526], Loss: 0.7247
Epoch [38/100], Step[226/526], Loss: 0.6770
Epoch [38/100], Step[227/526], Loss: 0.6724
Epoch [38/100], Step[228/526], Loss: 0.6652
Epoch [38/100], Step[229/526], Loss: 0.6887
Epoch [38/100], Step[230/526], Loss: 0.6619
Epoch [38/100], Step[231/526], Loss: 0.6661
Epoch [38/100], Step[232/526], Loss: 0.7084
Epoch [38/100], Step[233/526], Loss: 0.6851
Epoch [38/100], Step[234/526], Loss: 0.6799
Epoch [38/100], Step[235/526], Loss: 0.7046
Epoch [38/100], Step[236/526], Loss: 0.6933
Epoch [38/100], Step[237/526], Loss: 0.7178
Epoch [38/100], Step[238/526], Loss: 0.6835
Epoch [38/100], Step[239/526], Loss: 0.6712
Epoch [38/100], Step[240/526], Loss: 0.7271
Epoch [38/100], Step[241/526], Loss: 0.6971
Epoch [38/100], Step[242/526], Loss: 0.7098
Epoch [38/100], Step[243/526], Loss: 0.6182
Epoch [38/100], Step[244/526], Loss: 0.6534
Epoch [38/100], Step[245/526], Loss: 0.6430
Epoch [38/100], Step[246/526], Loss: 0.6652
Epoch [38/100], Step[247/526], Loss: 0.6243
Epoch [38/100], Step[248/526], Loss: 0.6544
Epoch [38/100], Step[249/526], Loss: 0.6664
Epoch [38/100], Step[250/526], Loss: 0.6802
Epoch [38/100], Step[251/526], Loss: 0.7012
Epoch [38/100], Step[252/526], Loss: 0.6941
Epoch [38/100], Step[253/526], Loss: 0.6315
Epoch [38/100], Step[254/526], Loss: 0.6664
Epoch [38/100], Step[255/526], Loss: 0.6038
Epoch [38/100], Step[256/526], Loss: 0.6887
Epoch [38/100], Step[257/526], Loss: 0.6663
Epoch [38/100], Step[258/526], Loss: 0.6294
Epoch [38/100], Step[259/526], Loss: 0.6848
Epoch [38/100], Step[260/526], Loss: 0.7397
Epoch [38/100], Step[261/526], Loss: 0.7521
Epoch [38/100], Step[262/526], Loss: 0.6815
Epoch [38/100], Step[263/526], Loss: 0.6649
Epoch [38/100], Step[264/526], Loss: 0.6415
Epoch [38/100], Step[265/526], Loss: 0.6355
Epoch [38/100], Step[266/526], Loss: 0.6365
Epoch [38/100], Step[267/526], Loss: 0.5013
Epoch [38/100], Step[268/526], Loss: 0.5447
Epoch [38/100], Step[269/526], Loss: 0.4578
Epoch [38/100], Step[270/526], Loss: 0.3902
Epoch [38/100], Step[271/526], Loss: 0.5163
Epoch [38/100], Step[272/526], Loss: 0.5357
Epoch [38/100], Step[273/526], Loss: 0.6302
Epoch [38/100], Step[274/526], Loss: 0.4377
Epoch [38/100], Step[275/526], Loss: 0.4201
Epoch [38/100], Step[276/526], Loss: 0.4693
Epoch [38/100], Step[277/526], Loss: 0.4288
Epoch [38/100], Step[278/526], Loss: 0.4584
Epoch [38/100], Step[279/526], Loss: 0.4086
Epoch [38/100], Step[280/526], Loss: 0.4501
Epoch [38/100], Step[281/526], Loss: 0.6258
Epoch [38/100], Step[282/526], Loss: 0.3600
Epoch [38/100], Step[283/526], Loss: 0.3635
Epoch [38/100], Step[284/526], Loss: 0.3992
Epoch [38/100], Step[285/526], Loss: 0.2781
Epoch [38/100], Step[286/526], Loss: 0.6975
Epoch [38/100], Step[287/526], Loss: 0.4808
Epoch [38/100], Step[288/526], Loss: 0.4340
Epoch [38/100], Step[289/526], Loss: 0.6161
Epoch [38/100], Step[290/526], Loss: 0.4256
Epoch [38/100], Step[291/526], Loss: 0.4839
Epoch [38/100], Step[292/526], Loss: 0.2568
Epoch [38/100], Step[293/526], Loss: 0.3088
Epoch [38/100], Step[294/526], Loss: 0.3229
Epoch [38/100], Step[295/526], Loss: 0.4235
Epoch [38/100], Step[296/526], Loss: 0.6240
Epoch [38/100], Step[297/526], Loss: 0.2905
Epoch [38/100], Step[298/526], Loss: 0.2908
Epoch [38/100], Step[299/526], Loss: 0.2401
Epoch [38/100], Step[300/526], Loss: 0.2999
Epoch [38/100], Step[301/526], Loss: 0.6123
Epoch [38/100], Step[302/526], Loss: 0.3193
Epoch [38/100], Step[303/526], Loss: 0.4790
Epoch [38/100], Step[304/526], Loss: 0.2580
Epoch [38/100], Step[305/526], Loss: 0.2601
Epoch [38/100], Step[306/526], Loss: 0.5787
Epoch [38/100], Step[307/526], Loss: 0.8853
Epoch [38/100], Step[308/526], Loss: 1.3111
Epoch [38/100], Step[309/526], Loss: 0.8676
Epoch [38/100], Step[310/526], Loss: 0.9626
Epoch [38/100], Step[311/526], Loss: 0.8168
Epoch [38/100], Step[312/526], Loss: 0.4918
Epoch [38/100], Step[313/526], Loss: 0.4801
Epoch [38/100], Step[314/526], Loss: 0.6529
Epoch [38/100], Step[315/526], Loss: 0.6993
Epoch [38/100], Step[316/526], Loss: 0.4901
Epoch [38/100], Step[317/526], Loss: 0.3220
Epoch [38/100], Step[318/526], Loss: 0.7625
Epoch [38/100], Step[319/526], Loss: 0.3532
Epoch [38/100], Step[320/526], Loss: 0.6081
Epoch [38/100], Step[321/526], Loss: 0.7089
Epoch [38/100], Step[322/526], Loss: 0.2648
Epoch [38/100], Step[323/526], Loss: 0.6150
Epoch [38/100], Step[324/526], Loss: 0.6582
Epoch [38/100], Step[325/526], Loss: 0.5745
Epoch [38/100], Step[326/526], Loss: 0.7707
Epoch [38/100], Step[327/526], Loss: 0.7313
Epoch [38/100], Step[328/526], Loss: 0.9273
Epoch [38/100], Step[329/526], Loss: 1.2720
Epoch [38/100], Step[330/526], Loss: 1.0398
Epoch [38/100], Step[331/526], Loss: 0.7937
Epoch [38/100], Step[332/526], Loss: 0.8433
Epoch [38/100], Step[333/526], Loss: 0.7836
Epoch [38/100], Step[334/526], Loss: 0.7786
Epoch [38/100], Step[335/526], Loss: 0.8011
Epoch [38/100], Step[336/526], Loss: 0.7002
Epoch [38/100], Step[337/526], Loss: 0.5939
Epoch [38/100], Step[338/526], Loss: 0.7065
Epoch [38/100], Step[339/526], Loss: 0.6442
Epoch [38/100], Step[340/526], Loss: 0.7254
Epoch [38/100], Step[341/526], Loss: 0.7775
Epoch [38/100], Step[342/526], Loss: 0.7882
Epoch [38/100], Step[343/526], Loss: 0.5423
Epoch [38/100], Step[344/526], Loss: 0.7334
Epoch [38/100], Step[345/526], Loss: 0.6506
Epoch [38/100], Step[346/526], Loss: 0.6678
Epoch [38/100], Step[347/526], Loss: 0.7068
Epoch [38/100], Step[348/526], Loss: 0.6354
Epoch [38/100], Step[349/526], Loss: 0.5783
Epoch [38/100], Step[350/526], Loss: 0.6744
Epoch [38/100], Step[351/526], Loss: 0.7170
Epoch [38/100], Step[352/526], Loss: 0.6166
Epoch [38/100], Step[353/526], Loss: 0.6868
Epoch [38/100], Step[354/526], Loss: 0.6705
Epoch [38/100], Step[355/526], Loss: 0.6734
Epoch [38/100], Step[356/526], Loss: 0.7004
Epoch [38/100], Step[357/526], Loss: 0.6580
Epoch [38/100], Step[358/526], Loss: 0.7004
Epoch [38/100], Step[359/526], Loss: 0.6524
Epoch [38/100], Step[360/526], Loss: 0.6729
Epoch [38/100], Step[361/526], Loss: 0.7280
Epoch [38/100], Step[362/526], Loss: 0.7059
Epoch [38/100], Step[363/526], Loss: 0.6927
Epoch [38/100], Step[364/526], Loss: 0.7122
Epoch [38/100], Step[365/526], Loss: 0.7123
Epoch [38/100], Step[366/526], Loss: 0.6875
Epoch [38/100], Step[367/526], Loss: 0.6889
Epoch [38/100], Step[368/526], Loss: 0.6500
Epoch [38/100], Step[369/526], Loss: 0.6576
Epoch [38/100], Step[370/526], Loss: 0.6288
Epoch [38/100], Step[371/526], Loss: 0.7355
Epoch [38/100], Step[372/526], Loss: 0.6422
Epoch [38/100], Step[373/526], Loss: 0.6752
Epoch [38/100], Step[374/526], Loss: 0.7008
Epoch [38/100], Step[375/526], Loss: 0.6490
Epoch [38/100], Step[376/526], Loss: 0.6328
Epoch [38/100], Step[377/526], Loss: 0.6846
Epoch [38/100], Step[378/526], Loss: 0.6921
Epoch [38/100], Step[379/526], Loss: 0.7436
Epoch [38/100], Step[380/526], Loss: 0.6115
Epoch [38/100], Step[381/526], Loss: 0.5963
Epoch [38/100], Step[382/526], Loss: 0.6706
Epoch [38/100], Step[383/526], Loss: 0.7022
Epoch [38/100], Step[384/526], Loss: 0.6373
Epoch [38/100], Step[385/526], Loss: 0.6290
Epoch [38/100], Step[386/526], Loss: 0.6609
Epoch [38/100], Step[387/526], Loss: 0.6547
Epoch [38/100], Step[388/526], Loss: 0.5921
Epoch [38/100], Step[389/526], Loss: 0.7246
Epoch [38/100], Step[390/526], Loss: 0.5752
Epoch [38/100], Step[391/526], Loss: 0.6528
Epoch [38/100], Step[392/526], Loss: 0.6995
Epoch [38/100], Step[393/526], Loss: 0.5854
Epoch [38/100], Step[394/526], Loss: 0.5174
Epoch [38/100], Step[395/526], Loss: 0.6215
Epoch [38/100], Step[396/526], Loss: 0.6307
Epoch [38/100], Step[397/526], Loss: 0.4730
Epoch [38/100], Step[398/526], Loss: 0.6016
Epoch [38/100], Step[399/526], Loss: 0.6512
Epoch [38/100], Step[400/526], Loss: 0.4759
Epoch [38/100], Step[401/526], Loss: 0.5978
Epoch [38/100], Step[402/526], Loss: 0.6388
Epoch [38/100], Step[403/526], Loss: 0.7209
Epoch [38/100], Step[404/526], Loss: 0.4822
Epoch [38/100], Step[405/526], Loss: 0.5038
Epoch [38/100], Step[406/526], Loss: 0.6296
Epoch [38/100], Step[407/526], Loss: 0.7521
Epoch [38/100], Step[408/526], Loss: 0.6518
Epoch [38/100], Step[409/526], Loss: 0.4702
Epoch [38/100], Step[410/526], Loss: 0.4937
Epoch [38/100], Step[411/526], Loss: 0.5366
Epoch [38/100], Step[412/526], Loss: 0.5931
Epoch [38/100], Step[413/526], Loss: 0.5978
Epoch [38/100], Step[414/526], Loss: 0.6399
Epoch [38/100], Step[415/526], Loss: 0.6147
Epoch [38/100], Step[416/526], Loss: 0.5413
Epoch [38/100], Step[417/526], Loss: 0.4528
Epoch [38/100], Step[418/526], Loss: 0.7465
Epoch [38/100], Step[419/526], Loss: 0.6845
Epoch [38/100], Step[420/526], Loss: 0.6851
Epoch [38/100], Step[421/526], Loss: 0.6359
Epoch [38/100], Step[422/526], Loss: 0.7793
Epoch [38/100], Step[423/526], Loss: 0.7019
Epoch [38/100], Step[424/526], Loss: 0.7434
Epoch [38/100], Step[425/526], Loss: 0.7016
Epoch [38/100], Step[426/526], Loss: 0.7627
Epoch [38/100], Step[427/526], Loss: 0.7056
Epoch [38/100], Step[428/526], Loss: 0.7139
Epoch [38/100], Step[429/526], Loss: 0.7366
Epoch [38/100], Step[430/526], Loss: 0.7875
Epoch [38/100], Step[431/526], Loss: 0.7029
Epoch [38/100], Step[432/526], Loss: 0.7285
Epoch [38/100], Step[433/526], Loss: 0.6753
Epoch [38/100], Step[434/526], Loss: 0.6125
Epoch [38/100], Step[435/526], Loss: 0.7753
Epoch [38/100], Step[436/526], Loss: 0.8111
Epoch [38/100], Step[437/526], Loss: 0.4989
Epoch [38/100], Step[438/526], Loss: 0.3698
Epoch [38/100], Step[439/526], Loss: 0.7233
Epoch [38/100], Step[440/526], Loss: 0.6901
Epoch [38/100], Step[441/526], Loss: 0.6894
Epoch [38/100], Step[442/526], Loss: 0.6425
Epoch [38/100], Step[443/526], Loss: 0.6710
Epoch [38/100], Step[444/526], Loss: 0.7538
Epoch [38/100], Step[445/526], Loss: 0.7036
Epoch [38/100], Step[446/526], Loss: 0.7154
Epoch [38/100], Step[447/526], Loss: 0.7170
Epoch [38/100], Step[448/526], Loss: 0.7196
Epoch [38/100], Step[449/526], Loss: 0.6739
Epoch [38/100], Step[450/526], Loss: 0.6037
Epoch [38/100], Step[451/526], Loss: 0.6631
Epoch [38/100], Step[452/526], Loss: 0.7267
Epoch [38/100], Step[453/526], Loss: 0.7098
Epoch [38/100], Step[454/526], Loss: 0.8167
Epoch [38/100], Step[455/526], Loss: 0.6647
Epoch [38/100], Step[456/526], Loss: 0.6320
Epoch [38/100], Step[457/526], Loss: 0.7051
Epoch [38/100], Step[458/526], Loss: 0.6719
Epoch [38/100], Step[459/526], Loss: 0.6644
Epoch [38/100], Step[460/526], Loss: 0.6411
Epoch [38/100], Step[461/526], Loss: 0.6128
Epoch [38/100], Step[462/526], Loss: 0.6744
Epoch [38/100], Step[463/526], Loss: 0.6506
Epoch [38/100], Step[464/526], Loss: 0.6410
Epoch [38/100], Step[465/526], Loss: 0.6614
Epoch [38/100], Step[466/526], Loss: 0.6631
Epoch [38/100], Step[467/526], Loss: 0.6483
Epoch [38/100], Step[468/526], Loss: 0.6199
Epoch [38/100], Step[469/526], Loss: 0.8059
Epoch [38/100], Step[470/526], Loss: 0.6570
Epoch [38/100], Step[471/526], Loss: 0.6966
Epoch [38/100], Step[472/526], Loss: 0.6703
Epoch [38/100], Step[473/526], Loss: 0.6802
Epoch [38/100], Step[474/526], Loss: 0.6780
Epoch [38/100], Step[475/526], Loss: 0.8346
Epoch [38/100], Step[476/526], Loss: 0.7494
Epoch [38/100], Step[477/526], Loss: 0.7002
Epoch [38/100], Step[478/526], Loss: 0.6951
Epoch [38/100], Step[479/526], Loss: 0.6617
Epoch [38/100], Step[480/526], Loss: 0.7362
Epoch [38/100], Step[481/526], Loss: 0.7244
Epoch [38/100], Step[482/526], Loss: 0.6206
Epoch [38/100], Step[483/526], Loss: 0.5445
Epoch [38/100], Step[484/526], Loss: 0.6968
Epoch [38/100], Step[485/526], Loss: 0.7803
Epoch [38/100], Step[486/526], Loss: 0.7246
Epoch [38/100], Step[487/526], Loss: 0.7522
Epoch [38/100], Step[488/526], Loss: 0.6904
Epoch [38/100], Step[489/526], Loss: 0.6315
Epoch [38/100], Step[490/526], Loss: 0.6127
Epoch [38/100], Step[491/526], Loss: 0.6982
Epoch [38/100], Step[492/526], Loss: 0.6508
Epoch [38/100], Step[493/526], Loss: 0.6438
Epoch [38/100], Step[494/526], Loss: 0.6636
Epoch [38/100], Step[495/526], Loss: 0.6899
Epoch [38/100], Step[496/526], Loss: 0.6639
Epoch [38/100], Step[497/526], Loss: 0.6380
Epoch [38/100], Step[498/526], Loss: 0.6772
Epoch [38/100], Step[499/526], Loss: 0.6711
Epoch [38/100], Step[500/526], Loss: 0.6754
Epoch [38/100], Step[501/526], Loss: 0.6572
Epoch [38/100], Step[502/526], Loss: 0.6981
Epoch [38/100], Step[503/526], Loss: 0.7117
Epoch [38/100], Step[504/526], Loss: 0.7005
Epoch [38/100], Step[505/526], Loss: 0.7097
Epoch [38/100], Step[506/526], Loss: 0.6829
Epoch [38/100], Step[507/526], Loss: 0.6728
Epoch [38/100], Step[508/526], Loss: 0.7041
Epoch [38/100], Step[509/526], Loss: 0.6557
Epoch [38/100], Step[510/526], Loss: 0.7035
Epoch [38/100], Step[511/526], Loss: 0.6436
Epoch [38/100], Step[512/526], Loss: 0.6735
Epoch [38/100], Step[513/526], Loss: 0.6452
Epoch [38/100], Step[514/526], Loss: 0.6546
Epoch [38/100], Step[515/526], Loss: 0.5766
Epoch [38/100], Step[516/526], Loss: 0.7509
Epoch [38/100], Step[517/526], Loss: 0.6906
Epoch [38/100], Step[518/526], Loss: 0.7345
Epoch [38/100], Step[519/526], Loss: 0.7130
Epoch [38/100], Step[520/526], Loss: 0.6833
Epoch [38/100], Step[521/526], Loss: 0.6703
Epoch [38/100], Step[522/526], Loss: 0.6076
Epoch [38/100], Step[523/526], Loss: 0.6462
Epoch [38/100], Step[524/526], Loss: 0.6458
Epoch [38/100], Step[525/526], Loss: 0.7434
Epoch [38/100], Step[526/526], Loss: 0.7044
Epoch [39/100], Step[1/526], Loss: 0.6580
Epoch [39/100], Step[2/526], Loss: 0.6437
Epoch [39/100], Step[3/526], Loss: 0.6793
Epoch [39/100], Step[4/526], Loss: 0.6332
Epoch [39/100], Step[5/526], Loss: 0.7362
Epoch [39/100], Step[6/526], Loss: 0.7443
Epoch [39/100], Step[7/526], Loss: 0.6958
Epoch [39/100], Step[8/526], Loss: 0.6803
Epoch [39/100], Step[9/526], Loss: 0.7087
Epoch [39/100], Step[10/526], Loss: 0.6755
Epoch [39/100], Step[11/526], Loss: 0.6669
Epoch [39/100], Step[12/526], Loss: 0.7187
Epoch [39/100], Step[13/526], Loss: 0.6359
Epoch [39/100], Step[14/526], Loss: 0.6601
Epoch [39/100], Step[15/526], Loss: 0.6869
Epoch [39/100], Step[16/526], Loss: 0.7033
Epoch [39/100], Step[17/526], Loss: 0.7046
Epoch [39/100], Step[18/526], Loss: 0.6900
Epoch [39/100], Step[19/526], Loss: 0.6871
Epoch [39/100], Step[20/526], Loss: 0.7064
Epoch [39/100], Step[21/526], Loss: 0.7514
Epoch [39/100], Step[22/526], Loss: 0.7289
Epoch [39/100], Step[23/526], Loss: 0.7363
Epoch [39/100], Step[24/526], Loss: 0.7140
Epoch [39/100], Step[25/526], Loss: 0.6916
Epoch [39/100], Step[26/526], Loss: 0.6380
Epoch [39/100], Step[27/526], Loss: 0.6874
Epoch [39/100], Step[28/526], Loss: 0.6877
Epoch [39/100], Step[29/526], Loss: 0.6610
Epoch [39/100], Step[30/526], Loss: 0.6921
Epoch [39/100], Step[31/526], Loss: 0.7027
Epoch [39/100], Step[32/526], Loss: 0.6667
Epoch [39/100], Step[33/526], Loss: 0.7063
Epoch [39/100], Step[34/526], Loss: 0.6925
Epoch [39/100], Step[35/526], Loss: 0.7097
Epoch [39/100], Step[36/526], Loss: 0.6957
Epoch [39/100], Step[37/526], Loss: 0.6937
Epoch [39/100], Step[38/526], Loss: 0.7102
Epoch [39/100], Step[39/526], Loss: 0.6958
Epoch [39/100], Step[40/526], Loss: 0.7220
Epoch [39/100], Step[41/526], Loss: 0.6580
Epoch [39/100], Step[42/526], Loss: 0.7276
Epoch [39/100], Step[43/526], Loss: 0.7186
Epoch [39/100], Step[44/526], Loss: 0.6838
Epoch [39/100], Step[45/526], Loss: 0.6886
Epoch [39/100], Step[46/526], Loss: 0.6886
Epoch [39/100], Step[47/526], Loss: 0.7079
Epoch [39/100], Step[48/526], Loss: 0.7265
Epoch [39/100], Step[49/526], Loss: 0.7045
Epoch [39/100], Step[50/526], Loss: 0.7135
Epoch [39/100], Step[51/526], Loss: 0.6943
Epoch [39/100], Step[52/526], Loss: 0.6760
Epoch [39/100], Step[53/526], Loss: 0.7182
Epoch [39/100], Step[54/526], Loss: 0.7014
Epoch [39/100], Step[55/526], Loss: 0.6879
Epoch [39/100], Step[56/526], Loss: 0.7012
Epoch [39/100], Step[57/526], Loss: 0.6839
Epoch [39/100], Step[58/526], Loss: 0.6748
Epoch [39/100], Step[59/526], Loss: 0.6582
Epoch [39/100], Step[60/526], Loss: 0.6687
Epoch [39/100], Step[61/526], Loss: 0.6499
Epoch [39/100], Step[62/526], Loss: 0.6980
Epoch [39/100], Step[63/526], Loss: 0.6864
Epoch [39/100], Step[64/526], Loss: 0.6822
Epoch [39/100], Step[65/526], Loss: 0.7237
Epoch [39/100], Step[66/526], Loss: 0.6840
Epoch [39/100], Step[67/526], Loss: 0.6620
Epoch [39/100], Step[68/526], Loss: 0.6501
Epoch [39/100], Step[69/526], Loss: 0.6963
Epoch [39/100], Step[70/526], Loss: 0.6842
Epoch [39/100], Step[71/526], Loss: 0.6661
Epoch [39/100], Step[72/526], Loss: 0.6821
Epoch [39/100], Step[73/526], Loss: 0.7118
Epoch [39/100], Step[74/526], Loss: 0.6652
Epoch [39/100], Step[75/526], Loss: 0.7048
Epoch [39/100], Step[76/526], Loss: 0.6894
Epoch [39/100], Step[77/526], Loss: 0.6945
Epoch [39/100], Step[78/526], Loss: 0.7094
Epoch [39/100], Step[79/526], Loss: 0.6924
Epoch [39/100], Step[80/526], Loss: 0.6916
Epoch [39/100], Step[81/526], Loss: 0.7041
Epoch [39/100], Step[82/526], Loss: 0.7271
Epoch [39/100], Step[83/526], Loss: 0.7070
Epoch [39/100], Step[84/526], Loss: 0.6977
Epoch [39/100], Step[85/526], Loss: 0.6696
Epoch [39/100], Step[86/526], Loss: 0.7088
Epoch [39/100], Step[87/526], Loss: 0.6781
Epoch [39/100], Step[88/526], Loss: 0.6896
Epoch [39/100], Step[89/526], Loss: 0.7215
Epoch [39/100], Step[90/526], Loss: 0.6859
Epoch [39/100], Step[91/526], Loss: 0.6805
Epoch [39/100], Step[92/526], Loss: 0.6812
Epoch [39/100], Step[93/526], Loss: 0.6870
Epoch [39/100], Step[94/526], Loss: 0.8054
Epoch [39/100], Step[95/526], Loss: 0.7170
Epoch [39/100], Step[96/526], Loss: 0.6239
Epoch [39/100], Step[97/526], Loss: 0.5900
Epoch [39/100], Step[98/526], Loss: 0.6903
Epoch [39/100], Step[99/526], Loss: 0.6884
Epoch [39/100], Step[100/526], Loss: 0.6670
Epoch [39/100], Step[101/526], Loss: 0.6579
Epoch [39/100], Step[102/526], Loss: 0.6321
Epoch [39/100], Step[103/526], Loss: 0.7073
Epoch [39/100], Step[104/526], Loss: 0.6485
Epoch [39/100], Step[105/526], Loss: 0.6357
Epoch [39/100], Step[106/526], Loss: 0.6885
Epoch [39/100], Step[107/526], Loss: 0.6361
Epoch [39/100], Step[108/526], Loss: 0.5774
Epoch [39/100], Step[109/526], Loss: 0.6693
Epoch [39/100], Step[110/526], Loss: 0.6844
Epoch [39/100], Step[111/526], Loss: 0.5914
Epoch [39/100], Step[112/526], Loss: 0.7341
Epoch [39/100], Step[113/526], Loss: 0.6048
Epoch [39/100], Step[114/526], Loss: 0.6595
Epoch [39/100], Step[115/526], Loss: 0.6015
Epoch [39/100], Step[116/526], Loss: 0.6231
Epoch [39/100], Step[117/526], Loss: 0.6606
Epoch [39/100], Step[118/526], Loss: 0.7567
Epoch [39/100], Step[119/526], Loss: 0.6764
Epoch [39/100], Step[120/526], Loss: 0.6790
Epoch [39/100], Step[121/526], Loss: 0.6912
Epoch [39/100], Step[122/526], Loss: 0.6261
Epoch [39/100], Step[123/526], Loss: 0.6476
Epoch [39/100], Step[124/526], Loss: 0.6720
Epoch [39/100], Step[125/526], Loss: 0.6312
Epoch [39/100], Step[126/526], Loss: 0.7178
Epoch [39/100], Step[127/526], Loss: 0.6759
Epoch [39/100], Step[128/526], Loss: 0.6419
Epoch [39/100], Step[129/526], Loss: 0.5913
Epoch [39/100], Step[130/526], Loss: 0.6026
Epoch [39/100], Step[131/526], Loss: 0.6699
Epoch [39/100], Step[132/526], Loss: 0.7203
Epoch [39/100], Step[133/526], Loss: 0.6757
Epoch [39/100], Step[134/526], Loss: 0.6273
Epoch [39/100], Step[135/526], Loss: 0.6457
Epoch [39/100], Step[136/526], Loss: 0.5660
Epoch [39/100], Step[137/526], Loss: 0.6420
Epoch [39/100], Step[138/526], Loss: 0.6483
Epoch [39/100], Step[139/526], Loss: 0.7074
Epoch [39/100], Step[140/526], Loss: 0.5901
Epoch [39/100], Step[141/526], Loss: 0.6846
Epoch [39/100], Step[142/526], Loss: 0.6636
Epoch [39/100], Step[143/526], Loss: 0.6877
Epoch [39/100], Step[144/526], Loss: 0.7786
Epoch [39/100], Step[145/526], Loss: 0.5496
Epoch [39/100], Step[146/526], Loss: 0.5102
Epoch [39/100], Step[147/526], Loss: 0.4602
Epoch [39/100], Step[148/526], Loss: 0.5915
Epoch [39/100], Step[149/526], Loss: 0.4976
Epoch [39/100], Step[150/526], Loss: 0.6000
Epoch [39/100], Step[151/526], Loss: 0.5636
Epoch [39/100], Step[152/526], Loss: 0.6231
Epoch [39/100], Step[153/526], Loss: 0.6309
Epoch [39/100], Step[154/526], Loss: 0.7248
Epoch [39/100], Step[155/526], Loss: 0.7209
Epoch [39/100], Step[156/526], Loss: 0.5286
Epoch [39/100], Step[157/526], Loss: 0.2749
Epoch [39/100], Step[158/526], Loss: 0.6107
Epoch [39/100], Step[159/526], Loss: 0.6706
Epoch [39/100], Step[160/526], Loss: 0.5496
Epoch [39/100], Step[161/526], Loss: 0.9630
Epoch [39/100], Step[162/526], Loss: 0.6963
Epoch [39/100], Step[163/526], Loss: 0.7154
Epoch [39/100], Step[164/526], Loss: 0.6197
Epoch [39/100], Step[165/526], Loss: 0.7153
Epoch [39/100], Step[166/526], Loss: 0.5018
Epoch [39/100], Step[167/526], Loss: 0.5377
Epoch [39/100], Step[168/526], Loss: 0.6831
Epoch [39/100], Step[169/526], Loss: 0.7492
Epoch [39/100], Step[170/526], Loss: 0.7017
Epoch [39/100], Step[171/526], Loss: 0.7283
Epoch [39/100], Step[172/526], Loss: 0.7154
Epoch [39/100], Step[173/526], Loss: 0.8172
Epoch [39/100], Step[174/526], Loss: 0.6170
Epoch [39/100], Step[175/526], Loss: 0.6591
Epoch [39/100], Step[176/526], Loss: 0.6258
Epoch [39/100], Step[177/526], Loss: 0.6619
Epoch [39/100], Step[178/526], Loss: 0.6884
Epoch [39/100], Step[179/526], Loss: 0.6380
Epoch [39/100], Step[180/526], Loss: 0.6756
Epoch [39/100], Step[181/526], Loss: 0.6415
Epoch [39/100], Step[182/526], Loss: 0.6842
Epoch [39/100], Step[183/526], Loss: 0.5296
Epoch [39/100], Step[184/526], Loss: 0.5968
Epoch [39/100], Step[185/526], Loss: 0.6029
Epoch [39/100], Step[186/526], Loss: 0.6580
Epoch [39/100], Step[187/526], Loss: 0.7508
Epoch [39/100], Step[188/526], Loss: 0.7003
Epoch [39/100], Step[189/526], Loss: 0.6771
Epoch [39/100], Step[190/526], Loss: 0.6212
Epoch [39/100], Step[191/526], Loss: 0.7208
Epoch [39/100], Step[192/526], Loss: 0.7925
Epoch [39/100], Step[193/526], Loss: 0.6550
Epoch [39/100], Step[194/526], Loss: 0.6142
Epoch [39/100], Step[195/526], Loss: 0.6501
Epoch [39/100], Step[196/526], Loss: 0.7367
Epoch [39/100], Step[197/526], Loss: 0.6844
Epoch [39/100], Step[198/526], Loss: 0.6350
Epoch [39/100], Step[199/526], Loss: 0.7339
Epoch [39/100], Step[200/526], Loss: 0.6742
Epoch [39/100], Step[201/526], Loss: 0.6764
Epoch [39/100], Step[202/526], Loss: 0.7448
Epoch [39/100], Step[203/526], Loss: 0.7055
Epoch [39/100], Step[204/526], Loss: 0.7259
Epoch [39/100], Step[205/526], Loss: 0.7026
Epoch [39/100], Step[206/526], Loss: 0.6827
Epoch [39/100], Step[207/526], Loss: 0.7121
Epoch [39/100], Step[208/526], Loss: 0.6823
Epoch [39/100], Step[209/526], Loss: 0.6833
Epoch [39/100], Step[210/526], Loss: 0.7688
Epoch [39/100], Step[211/526], Loss: 0.6354
Epoch [39/100], Step[212/526], Loss: 0.6879
Epoch [39/100], Step[213/526], Loss: 0.7212
Epoch [39/100], Step[214/526], Loss: 0.7463
Epoch [39/100], Step[215/526], Loss: 0.6952
Epoch [39/100], Step[216/526], Loss: 0.6782
Epoch [39/100], Step[217/526], Loss: 0.6758
Epoch [39/100], Step[218/526], Loss: 0.6985
Epoch [39/100], Step[219/526], Loss: 0.6947
Epoch [39/100], Step[220/526], Loss: 0.7282
Epoch [39/100], Step[221/526], Loss: 0.6952
Epoch [39/100], Step[222/526], Loss: 0.7442
Epoch [39/100], Step[223/526], Loss: 0.6786
Epoch [39/100], Step[224/526], Loss: 0.6834
Epoch [39/100], Step[225/526], Loss: 0.7237
Epoch [39/100], Step[226/526], Loss: 0.6769
Epoch [39/100], Step[227/526], Loss: 0.6719
Epoch [39/100], Step[228/526], Loss: 0.6651
Epoch [39/100], Step[229/526], Loss: 0.6891
Epoch [39/100], Step[230/526], Loss: 0.6624
Epoch [39/100], Step[231/526], Loss: 0.6665
Epoch [39/100], Step[232/526], Loss: 0.7082
Epoch [39/100], Step[233/526], Loss: 0.6847
Epoch [39/100], Step[234/526], Loss: 0.6792
Epoch [39/100], Step[235/526], Loss: 0.7039
Epoch [39/100], Step[236/526], Loss: 0.6936
Epoch [39/100], Step[237/526], Loss: 0.7171
Epoch [39/100], Step[238/526], Loss: 0.6834
Epoch [39/100], Step[239/526], Loss: 0.6713
Epoch [39/100], Step[240/526], Loss: 0.7266
Epoch [39/100], Step[241/526], Loss: 0.6972
Epoch [39/100], Step[242/526], Loss: 0.7090
Epoch [39/100], Step[243/526], Loss: 0.6226
Epoch [39/100], Step[244/526], Loss: 0.6537
Epoch [39/100], Step[245/526], Loss: 0.6433
Epoch [39/100], Step[246/526], Loss: 0.6656
Epoch [39/100], Step[247/526], Loss: 0.6242
Epoch [39/100], Step[248/526], Loss: 0.6549
Epoch [39/100], Step[249/526], Loss: 0.6667
Epoch [39/100], Step[250/526], Loss: 0.6803
Epoch [39/100], Step[251/526], Loss: 0.7014
Epoch [39/100], Step[252/526], Loss: 0.6937
Epoch [39/100], Step[253/526], Loss: 0.6322
Epoch [39/100], Step[254/526], Loss: 0.6664
Epoch [39/100], Step[255/526], Loss: 0.6050
Epoch [39/100], Step[256/526], Loss: 0.6910
Epoch [39/100], Step[257/526], Loss: 0.6672
Epoch [39/100], Step[258/526], Loss: 0.6301
Epoch [39/100], Step[259/526], Loss: 0.6848
Epoch [39/100], Step[260/526], Loss: 0.7388
Epoch [39/100], Step[261/526], Loss: 0.7498
Epoch [39/100], Step[262/526], Loss: 0.6818
Epoch [39/100], Step[263/526], Loss: 0.6652
Epoch [39/100], Step[264/526], Loss: 0.6420
Epoch [39/100], Step[265/526], Loss: 0.6371
Epoch [39/100], Step[266/526], Loss: 0.6381
Epoch [39/100], Step[267/526], Loss: 0.5016
Epoch [39/100], Step[268/526], Loss: 0.5456
Epoch [39/100], Step[269/526], Loss: 0.4584
Epoch [39/100], Step[270/526], Loss: 0.3902
Epoch [39/100], Step[271/526], Loss: 0.5162
Epoch [39/100], Step[272/526], Loss: 0.5346
Epoch [39/100], Step[273/526], Loss: 0.6298
Epoch [39/100], Step[274/526], Loss: 0.4376
Epoch [39/100], Step[275/526], Loss: 0.4204
Epoch [39/100], Step[276/526], Loss: 0.4690
Epoch [39/100], Step[277/526], Loss: 0.4287
Epoch [39/100], Step[278/526], Loss: 0.4581
Epoch [39/100], Step[279/526], Loss: 0.4081
Epoch [39/100], Step[280/526], Loss: 0.4501
Epoch [39/100], Step[281/526], Loss: 0.6266
Epoch [39/100], Step[282/526], Loss: 0.3595
Epoch [39/100], Step[283/526], Loss: 0.3652
Epoch [39/100], Step[284/526], Loss: 0.3986
Epoch [39/100], Step[285/526], Loss: 0.2777
Epoch [39/100], Step[286/526], Loss: 0.6971
Epoch [39/100], Step[287/526], Loss: 0.4805
Epoch [39/100], Step[288/526], Loss: 0.4343
Epoch [39/100], Step[289/526], Loss: 0.6158
Epoch [39/100], Step[290/526], Loss: 0.4253
Epoch [39/100], Step[291/526], Loss: 0.4835
Epoch [39/100], Step[292/526], Loss: 0.2564
Epoch [39/100], Step[293/526], Loss: 0.3085
Epoch [39/100], Step[294/526], Loss: 0.3219
Epoch [39/100], Step[295/526], Loss: 0.4229
Epoch [39/100], Step[296/526], Loss: 0.6244
Epoch [39/100], Step[297/526], Loss: 0.2904
Epoch [39/100], Step[298/526], Loss: 0.2899
Epoch [39/100], Step[299/526], Loss: 0.2392
Epoch [39/100], Step[300/526], Loss: 0.2990
Epoch [39/100], Step[301/526], Loss: 0.6132
Epoch [39/100], Step[302/526], Loss: 0.3193
Epoch [39/100], Step[303/526], Loss: 0.4783
Epoch [39/100], Step[304/526], Loss: 0.2575
Epoch [39/100], Step[305/526], Loss: 0.2599
Epoch [39/100], Step[306/526], Loss: 0.5785
Epoch [39/100], Step[307/526], Loss: 0.8853
Epoch [39/100], Step[308/526], Loss: 1.3132
Epoch [39/100], Step[309/526], Loss: 0.8548
Epoch [39/100], Step[310/526], Loss: 0.9641
Epoch [39/100], Step[311/526], Loss: 0.8189
Epoch [39/100], Step[312/526], Loss: 0.4925
Epoch [39/100], Step[313/526], Loss: 0.4825
Epoch [39/100], Step[314/526], Loss: 0.6540
Epoch [39/100], Step[315/526], Loss: 0.6981
Epoch [39/100], Step[316/526], Loss: 0.4907
Epoch [39/100], Step[317/526], Loss: 0.3239
Epoch [39/100], Step[318/526], Loss: 0.7647
Epoch [39/100], Step[319/526], Loss: 0.3539
Epoch [39/100], Step[320/526], Loss: 0.6085
Epoch [39/100], Step[321/526], Loss: 0.7051
Epoch [39/100], Step[322/526], Loss: 0.2655
Epoch [39/100], Step[323/526], Loss: 0.6151
Epoch [39/100], Step[324/526], Loss: 0.6564
Epoch [39/100], Step[325/526], Loss: 0.5768
Epoch [39/100], Step[326/526], Loss: 0.7662
Epoch [39/100], Step[327/526], Loss: 0.7302
Epoch [39/100], Step[328/526], Loss: 0.9274
Epoch [39/100], Step[329/526], Loss: 1.2667
Epoch [39/100], Step[330/526], Loss: 1.0395
Epoch [39/100], Step[331/526], Loss: 0.7920
Epoch [39/100], Step[332/526], Loss: 0.8416
Epoch [39/100], Step[333/526], Loss: 0.7827
Epoch [39/100], Step[334/526], Loss: 0.7786
Epoch [39/100], Step[335/526], Loss: 0.7986
Epoch [39/100], Step[336/526], Loss: 0.6999
Epoch [39/100], Step[337/526], Loss: 0.5956
Epoch [39/100], Step[338/526], Loss: 0.7067
Epoch [39/100], Step[339/526], Loss: 0.6440
Epoch [39/100], Step[340/526], Loss: 0.7252
Epoch [39/100], Step[341/526], Loss: 0.7771
Epoch [39/100], Step[342/526], Loss: 0.7887
Epoch [39/100], Step[343/526], Loss: 0.5410
Epoch [39/100], Step[344/526], Loss: 0.7338
Epoch [39/100], Step[345/526], Loss: 0.6506
Epoch [39/100], Step[346/526], Loss: 0.6753
Epoch [39/100], Step[347/526], Loss: 0.7073
Epoch [39/100], Step[348/526], Loss: 0.6351
Epoch [39/100], Step[349/526], Loss: 0.5767
Epoch [39/100], Step[350/526], Loss: 0.6748
Epoch [39/100], Step[351/526], Loss: 0.7179
Epoch [39/100], Step[352/526], Loss: 0.6097
Epoch [39/100], Step[353/526], Loss: 0.6876
Epoch [39/100], Step[354/526], Loss: 0.6674
Epoch [39/100], Step[355/526], Loss: 0.6734
Epoch [39/100], Step[356/526], Loss: 0.7045
Epoch [39/100], Step[357/526], Loss: 0.6581
Epoch [39/100], Step[358/526], Loss: 0.6964
Epoch [39/100], Step[359/526], Loss: 0.6595
Epoch [39/100], Step[360/526], Loss: 0.6786
Epoch [39/100], Step[361/526], Loss: 0.7281
Epoch [39/100], Step[362/526], Loss: 0.7058
Epoch [39/100], Step[363/526], Loss: 0.6927
Epoch [39/100], Step[364/526], Loss: 0.7116
Epoch [39/100], Step[365/526], Loss: 0.7118
Epoch [39/100], Step[366/526], Loss: 0.6876
Epoch [39/100], Step[367/526], Loss: 0.6892
Epoch [39/100], Step[368/526], Loss: 0.6501
Epoch [39/100], Step[369/526], Loss: 0.6563
Epoch [39/100], Step[370/526], Loss: 0.6537
Epoch [39/100], Step[371/526], Loss: 0.7356
Epoch [39/100], Step[372/526], Loss: 0.6413
Epoch [39/100], Step[373/526], Loss: 0.6755
Epoch [39/100], Step[374/526], Loss: 0.7006
Epoch [39/100], Step[375/526], Loss: 0.6491
Epoch [39/100], Step[376/526], Loss: 0.6480
Epoch [39/100], Step[377/526], Loss: 0.6861
Epoch [39/100], Step[378/526], Loss: 0.6925
Epoch [39/100], Step[379/526], Loss: 0.7464
Epoch [39/100], Step[380/526], Loss: 0.6116
Epoch [39/100], Step[381/526], Loss: 0.5959
Epoch [39/100], Step[382/526], Loss: 0.6704
Epoch [39/100], Step[383/526], Loss: 0.6924
Epoch [39/100], Step[384/526], Loss: 0.6322
Epoch [39/100], Step[385/526], Loss: 0.6314
Epoch [39/100], Step[386/526], Loss: 0.6616
Epoch [39/100], Step[387/526], Loss: 0.6599
Epoch [39/100], Step[388/526], Loss: 0.5935
Epoch [39/100], Step[389/526], Loss: 0.7150
Epoch [39/100], Step[390/526], Loss: 0.5938
Epoch [39/100], Step[391/526], Loss: 0.6533
Epoch [39/100], Step[392/526], Loss: 0.6997
Epoch [39/100], Step[393/526], Loss: 0.5877
Epoch [39/100], Step[394/526], Loss: 0.5173
Epoch [39/100], Step[395/526], Loss: 0.6247
Epoch [39/100], Step[396/526], Loss: 0.6305
Epoch [39/100], Step[397/526], Loss: 0.4737
Epoch [39/100], Step[398/526], Loss: 0.6020
Epoch [39/100], Step[399/526], Loss: 0.6510
Epoch [39/100], Step[400/526], Loss: 0.4756
Epoch [39/100], Step[401/526], Loss: 0.5970
Epoch [39/100], Step[402/526], Loss: 0.6393
Epoch [39/100], Step[403/526], Loss: 0.7237
Epoch [39/100], Step[404/526], Loss: 0.4820
Epoch [39/100], Step[405/526], Loss: 0.5038
Epoch [39/100], Step[406/526], Loss: 0.6297
Epoch [39/100], Step[407/526], Loss: 0.7513
Epoch [39/100], Step[408/526], Loss: 0.6528
Epoch [39/100], Step[409/526], Loss: 0.4695
Epoch [39/100], Step[410/526], Loss: 0.4943
Epoch [39/100], Step[411/526], Loss: 0.5364
Epoch [39/100], Step[412/526], Loss: 0.5939
Epoch [39/100], Step[413/526], Loss: 0.5968
Epoch [39/100], Step[414/526], Loss: 0.6402
Epoch [39/100], Step[415/526], Loss: 0.6103
Epoch [39/100], Step[416/526], Loss: 0.5419
Epoch [39/100], Step[417/526], Loss: 0.4547
Epoch [39/100], Step[418/526], Loss: 0.7441
Epoch [39/100], Step[419/526], Loss: 0.6835
Epoch [39/100], Step[420/526], Loss: 0.6844
Epoch [39/100], Step[421/526], Loss: 0.6364
Epoch [39/100], Step[422/526], Loss: 0.7797
Epoch [39/100], Step[423/526], Loss: 0.7017
Epoch [39/100], Step[424/526], Loss: 0.7428
Epoch [39/100], Step[425/526], Loss: 0.7023
Epoch [39/100], Step[426/526], Loss: 0.7622
Epoch [39/100], Step[427/526], Loss: 0.7054
Epoch [39/100], Step[428/526], Loss: 0.7140
Epoch [39/100], Step[429/526], Loss: 0.7360
Epoch [39/100], Step[430/526], Loss: 0.7913
Epoch [39/100], Step[431/526], Loss: 0.7038
Epoch [39/100], Step[432/526], Loss: 0.7286
Epoch [39/100], Step[433/526], Loss: 0.6754
Epoch [39/100], Step[434/526], Loss: 0.6127
Epoch [39/100], Step[435/526], Loss: 0.7769
Epoch [39/100], Step[436/526], Loss: 0.8128
Epoch [39/100], Step[437/526], Loss: 0.5056
Epoch [39/100], Step[438/526], Loss: 0.3682
Epoch [39/100], Step[439/526], Loss: 0.7238
Epoch [39/100], Step[440/526], Loss: 0.6861
Epoch [39/100], Step[441/526], Loss: 0.7037
Epoch [39/100], Step[442/526], Loss: 0.6421
Epoch [39/100], Step[443/526], Loss: 0.6708
Epoch [39/100], Step[444/526], Loss: 0.7537
Epoch [39/100], Step[445/526], Loss: 0.7036
Epoch [39/100], Step[446/526], Loss: 0.7148
Epoch [39/100], Step[447/526], Loss: 0.7172
Epoch [39/100], Step[448/526], Loss: 0.7204
Epoch [39/100], Step[449/526], Loss: 0.6738
Epoch [39/100], Step[450/526], Loss: 0.6125
Epoch [39/100], Step[451/526], Loss: 0.6619
Epoch [39/100], Step[452/526], Loss: 0.7264
Epoch [39/100], Step[453/526], Loss: 0.7111
Epoch [39/100], Step[454/526], Loss: 0.8199
Epoch [39/100], Step[455/526], Loss: 0.6551
Epoch [39/100], Step[456/526], Loss: 0.6271
Epoch [39/100], Step[457/526], Loss: 0.6959
Epoch [39/100], Step[458/526], Loss: 0.6668
Epoch [39/100], Step[459/526], Loss: 0.6650
Epoch [39/100], Step[460/526], Loss: 0.6399
Epoch [39/100], Step[461/526], Loss: 0.6126
Epoch [39/100], Step[462/526], Loss: 0.6750
Epoch [39/100], Step[463/526], Loss: 0.6509
Epoch [39/100], Step[464/526], Loss: 0.6406
Epoch [39/100], Step[465/526], Loss: 0.6614
Epoch [39/100], Step[466/526], Loss: 0.6637
Epoch [39/100], Step[467/526], Loss: 0.6485
Epoch [39/100], Step[468/526], Loss: 0.6213
Epoch [39/100], Step[469/526], Loss: 0.8056
Epoch [39/100], Step[470/526], Loss: 0.6570
Epoch [39/100], Step[471/526], Loss: 0.6962
Epoch [39/100], Step[472/526], Loss: 0.6704
Epoch [39/100], Step[473/526], Loss: 0.6803
Epoch [39/100], Step[474/526], Loss: 0.6782
Epoch [39/100], Step[475/526], Loss: 0.8368
Epoch [39/100], Step[476/526], Loss: 0.7493
Epoch [39/100], Step[477/526], Loss: 0.7026
Epoch [39/100], Step[478/526], Loss: 0.6954
Epoch [39/100], Step[479/526], Loss: 0.6615
Epoch [39/100], Step[480/526], Loss: 0.7361
Epoch [39/100], Step[481/526], Loss: 0.7252
Epoch [39/100], Step[482/526], Loss: 0.6200
Epoch [39/100], Step[483/526], Loss: 0.5441
Epoch [39/100], Step[484/526], Loss: 0.6964
Epoch [39/100], Step[485/526], Loss: 0.7858
Epoch [39/100], Step[486/526], Loss: 0.7250
Epoch [39/100], Step[487/526], Loss: 0.7564
Epoch [39/100], Step[488/526], Loss: 0.6897
Epoch [39/100], Step[489/526], Loss: 0.6311
Epoch [39/100], Step[490/526], Loss: 0.6115
Epoch [39/100], Step[491/526], Loss: 0.6962
Epoch [39/100], Step[492/526], Loss: 0.6505
Epoch [39/100], Step[493/526], Loss: 0.6418
Epoch [39/100], Step[494/526], Loss: 0.6609
Epoch [39/100], Step[495/526], Loss: 0.6902
Epoch [39/100], Step[496/526], Loss: 0.6638
Epoch [39/100], Step[497/526], Loss: 0.6294
Epoch [39/100], Step[498/526], Loss: 0.6819
Epoch [39/100], Step[499/526], Loss: 0.6569
Epoch [39/100], Step[500/526], Loss: 0.6380
Epoch [39/100], Step[501/526], Loss: 0.6586
Epoch [39/100], Step[502/526], Loss: 0.6906
Epoch [39/100], Step[503/526], Loss: 0.6999
Epoch [39/100], Step[504/526], Loss: 0.6413
Epoch [39/100], Step[505/526], Loss: 0.7436
Epoch [39/100], Step[506/526], Loss: 0.8112
Epoch [39/100], Step[507/526], Loss: 0.7020
Epoch [39/100], Step[508/526], Loss: 0.7366
Epoch [39/100], Step[509/526], Loss: 0.6621
Epoch [39/100], Step[510/526], Loss: 0.6986
Epoch [39/100], Step[511/526], Loss: 0.6332
Epoch [39/100], Step[512/526], Loss: 0.6673
Epoch [39/100], Step[513/526], Loss: 0.6647
Epoch [39/100], Step[514/526], Loss: 0.6792
Epoch [39/100], Step[515/526], Loss: 0.6152
Epoch [39/100], Step[516/526], Loss: 0.7691
Epoch [39/100], Step[517/526], Loss: 0.6772
Epoch [39/100], Step[518/526], Loss: 0.7288
Epoch [39/100], Step[519/526], Loss: 0.7118
Epoch [39/100], Step[520/526], Loss: 0.6710
Epoch [39/100], Step[521/526], Loss: 0.6492
Epoch [39/100], Step[522/526], Loss: 0.6191
Epoch [39/100], Step[523/526], Loss: 0.6562
Epoch [39/100], Step[524/526], Loss: 0.6512
Epoch [39/100], Step[525/526], Loss: 0.7603
Epoch [39/100], Step[526/526], Loss: 0.7053
Epoch [40/100], Step[1/526], Loss: 0.6527
Epoch [40/100], Step[2/526], Loss: 0.6354
Epoch [40/100], Step[3/526], Loss: 0.6772
Epoch [40/100], Step[4/526], Loss: 0.6278
Epoch [40/100], Step[5/526], Loss: 0.7342
Epoch [40/100], Step[6/526], Loss: 0.7471
Epoch [40/100], Step[7/526], Loss: 0.6986
Epoch [40/100], Step[8/526], Loss: 0.6825
Epoch [40/100], Step[9/526], Loss: 0.7106
Epoch [40/100], Step[10/526], Loss: 0.6779
Epoch [40/100], Step[11/526], Loss: 0.6654
Epoch [40/100], Step[12/526], Loss: 0.7174
Epoch [40/100], Step[13/526], Loss: 0.6374
Epoch [40/100], Step[14/526], Loss: 0.6610
Epoch [40/100], Step[15/526], Loss: 0.6876
Epoch [40/100], Step[16/526], Loss: 0.7016
Epoch [40/100], Step[17/526], Loss: 0.7048
Epoch [40/100], Step[18/526], Loss: 0.6830
Epoch [40/100], Step[19/526], Loss: 0.6747
Epoch [40/100], Step[20/526], Loss: 0.7031
Epoch [40/100], Step[21/526], Loss: 0.7482
Epoch [40/100], Step[22/526], Loss: 0.7288
Epoch [40/100], Step[23/526], Loss: 0.7349
Epoch [40/100], Step[24/526], Loss: 0.7149
Epoch [40/100], Step[25/526], Loss: 0.6925
Epoch [40/100], Step[26/526], Loss: 0.6395
Epoch [40/100], Step[27/526], Loss: 0.6891
Epoch [40/100], Step[28/526], Loss: 0.6901
Epoch [40/100], Step[29/526], Loss: 0.6647
Epoch [40/100], Step[30/526], Loss: 0.6906
Epoch [40/100], Step[31/526], Loss: 0.7043
Epoch [40/100], Step[32/526], Loss: 0.6706
Epoch [40/100], Step[33/526], Loss: 0.7082
Epoch [40/100], Step[34/526], Loss: 0.6937
Epoch [40/100], Step[35/526], Loss: 0.7099
Epoch [40/100], Step[36/526], Loss: 0.7002
Epoch [40/100], Step[37/526], Loss: 0.6923
Epoch [40/100], Step[38/526], Loss: 0.7077
Epoch [40/100], Step[39/526], Loss: 0.6941
Epoch [40/100], Step[40/526], Loss: 0.7079
Epoch [40/100], Step[41/526], Loss: 0.6607
Epoch [40/100], Step[42/526], Loss: 0.7258
Epoch [40/100], Step[43/526], Loss: 0.7174
Epoch [40/100], Step[44/526], Loss: 0.6848
Epoch [40/100], Step[45/526], Loss: 0.6887
Epoch [40/100], Step[46/526], Loss: 0.6887
Epoch [40/100], Step[47/526], Loss: 0.7063
Epoch [40/100], Step[48/526], Loss: 0.7240
Epoch [40/100], Step[49/526], Loss: 0.7029
Epoch [40/100], Step[50/526], Loss: 0.7137
Epoch [40/100], Step[51/526], Loss: 0.6936
Epoch [40/100], Step[52/526], Loss: 0.6768
Epoch [40/100], Step[53/526], Loss: 0.7161
Epoch [40/100], Step[54/526], Loss: 0.7016
Epoch [40/100], Step[55/526], Loss: 0.6875
Epoch [40/100], Step[56/526], Loss: 0.7014
Epoch [40/100], Step[57/526], Loss: 0.6832
Epoch [40/100], Step[58/526], Loss: 0.6739
Epoch [40/100], Step[59/526], Loss: 0.6613
Epoch [40/100], Step[60/526], Loss: 0.6710
Epoch [40/100], Step[61/526], Loss: 0.6482
Epoch [40/100], Step[62/526], Loss: 0.6964
Epoch [40/100], Step[63/526], Loss: 0.6844
Epoch [40/100], Step[64/526], Loss: 0.6794
Epoch [40/100], Step[65/526], Loss: 0.7212
Epoch [40/100], Step[66/526], Loss: 0.6850
Epoch [40/100], Step[67/526], Loss: 0.6639
Epoch [40/100], Step[68/526], Loss: 0.6532
Epoch [40/100], Step[69/526], Loss: 0.6989
Epoch [40/100], Step[70/526], Loss: 0.6861
Epoch [40/100], Step[71/526], Loss: 0.6654
Epoch [40/100], Step[72/526], Loss: 0.6803
Epoch [40/100], Step[73/526], Loss: 0.7109
Epoch [40/100], Step[74/526], Loss: 0.6635
Epoch [40/100], Step[75/526], Loss: 0.7047
Epoch [40/100], Step[76/526], Loss: 0.6891
Epoch [40/100], Step[77/526], Loss: 0.6935
Epoch [40/100], Step[78/526], Loss: 0.7102
Epoch [40/100], Step[79/526], Loss: 0.6921
Epoch [40/100], Step[80/526], Loss: 0.6921
Epoch [40/100], Step[81/526], Loss: 0.7042
Epoch [40/100], Step[82/526], Loss: 0.7266
Epoch [40/100], Step[83/526], Loss: 0.7070
Epoch [40/100], Step[84/526], Loss: 0.6943
Epoch [40/100], Step[85/526], Loss: 0.6619
Epoch [40/100], Step[86/526], Loss: 0.7086
Epoch [40/100], Step[87/526], Loss: 0.7009
Epoch [40/100], Step[88/526], Loss: 0.6877
Epoch [40/100], Step[89/526], Loss: 0.7197
Epoch [40/100], Step[90/526], Loss: 0.6883
Epoch [40/100], Step[91/526], Loss: 0.6777
Epoch [40/100], Step[92/526], Loss: 0.6808
Epoch [40/100], Step[93/526], Loss: 0.6858
Epoch [40/100], Step[94/526], Loss: 0.8061
Epoch [40/100], Step[95/526], Loss: 0.7169
Epoch [40/100], Step[96/526], Loss: 0.6258
Epoch [40/100], Step[97/526], Loss: 0.5913
Epoch [40/100], Step[98/526], Loss: 0.6887
Epoch [40/100], Step[99/526], Loss: 0.6909
Epoch [40/100], Step[100/526], Loss: 0.6521
Epoch [40/100], Step[101/526], Loss: 0.6590
Epoch [40/100], Step[102/526], Loss: 0.6305
Epoch [40/100], Step[103/526], Loss: 0.7243
Epoch [40/100], Step[104/526], Loss: 0.6451
Epoch [40/100], Step[105/526], Loss: 0.6366
Epoch [40/100], Step[106/526], Loss: 0.6866
Epoch [40/100], Step[107/526], Loss: 0.6388
Epoch [40/100], Step[108/526], Loss: 0.5808
Epoch [40/100], Step[109/526], Loss: 0.6734
Epoch [40/100], Step[110/526], Loss: 0.6881
Epoch [40/100], Step[111/526], Loss: 0.5902
Epoch [40/100], Step[112/526], Loss: 0.7335
Epoch [40/100], Step[113/526], Loss: 0.6064
Epoch [40/100], Step[114/526], Loss: 0.6608
Epoch [40/100], Step[115/526], Loss: 0.6043
Epoch [40/100], Step[116/526], Loss: 0.6241
Epoch [40/100], Step[117/526], Loss: 0.6581
Epoch [40/100], Step[118/526], Loss: 0.7532
Epoch [40/100], Step[119/526], Loss: 0.6738
Epoch [40/100], Step[120/526], Loss: 0.6784
Epoch [40/100], Step[121/526], Loss: 0.6904
Epoch [40/100], Step[122/526], Loss: 0.6291
Epoch [40/100], Step[123/526], Loss: 0.6472
Epoch [40/100], Step[124/526], Loss: 0.6715
Epoch [40/100], Step[125/526], Loss: 0.6334
Epoch [40/100], Step[126/526], Loss: 0.7168
Epoch [40/100], Step[127/526], Loss: 0.6746
Epoch [40/100], Step[128/526], Loss: 0.6427
Epoch [40/100], Step[129/526], Loss: 0.5925
Epoch [40/100], Step[130/526], Loss: 0.6029
Epoch [40/100], Step[131/526], Loss: 0.6699
Epoch [40/100], Step[132/526], Loss: 0.7193
Epoch [40/100], Step[133/526], Loss: 0.6769
Epoch [40/100], Step[134/526], Loss: 0.6305
Epoch [40/100], Step[135/526], Loss: 0.6467
Epoch [40/100], Step[136/526], Loss: 0.5687
Epoch [40/100], Step[137/526], Loss: 0.6406
Epoch [40/100], Step[138/526], Loss: 0.6493
Epoch [40/100], Step[139/526], Loss: 0.7087
Epoch [40/100], Step[140/526], Loss: 0.5919
Epoch [40/100], Step[141/526], Loss: 0.6841
Epoch [40/100], Step[142/526], Loss: 0.6637
Epoch [40/100], Step[143/526], Loss: 0.6882
Epoch [40/100], Step[144/526], Loss: 0.7804
Epoch [40/100], Step[145/526], Loss: 0.5612
Epoch [40/100], Step[146/526], Loss: 0.5079
Epoch [40/100], Step[147/526], Loss: 0.4620
Epoch [40/100], Step[148/526], Loss: 0.5982
Epoch [40/100], Step[149/526], Loss: 0.4969
Epoch [40/100], Step[150/526], Loss: 0.5764
Epoch [40/100], Step[151/526], Loss: 0.5575
Epoch [40/100], Step[152/526], Loss: 0.6238
Epoch [40/100], Step[153/526], Loss: 0.6291
Epoch [40/100], Step[154/526], Loss: 0.7254
Epoch [40/100], Step[155/526], Loss: 0.7136
Epoch [40/100], Step[156/526], Loss: 0.5278
Epoch [40/100], Step[157/526], Loss: 0.2730
Epoch [40/100], Step[158/526], Loss: 0.6063
Epoch [40/100], Step[159/526], Loss: 0.6719
Epoch [40/100], Step[160/526], Loss: 0.5475
Epoch [40/100], Step[161/526], Loss: 0.9638
Epoch [40/100], Step[162/526], Loss: 0.6955
Epoch [40/100], Step[163/526], Loss: 0.7150
Epoch [40/100], Step[164/526], Loss: 0.6188
Epoch [40/100], Step[165/526], Loss: 0.7086
Epoch [40/100], Step[166/526], Loss: 0.4960
Epoch [40/100], Step[167/526], Loss: 0.5437
Epoch [40/100], Step[168/526], Loss: 0.6907
Epoch [40/100], Step[169/526], Loss: 0.7499
Epoch [40/100], Step[170/526], Loss: 0.7007
Epoch [40/100], Step[171/526], Loss: 0.7271
Epoch [40/100], Step[172/526], Loss: 0.7108
Epoch [40/100], Step[173/526], Loss: 0.8163
Epoch [40/100], Step[174/526], Loss: 0.6166
Epoch [40/100], Step[175/526], Loss: 0.6582
Epoch [40/100], Step[176/526], Loss: 0.6239
Epoch [40/100], Step[177/526], Loss: 0.6627
Epoch [40/100], Step[178/526], Loss: 0.6871
Epoch [40/100], Step[179/526], Loss: 0.6372
Epoch [40/100], Step[180/526], Loss: 0.6742
Epoch [40/100], Step[181/526], Loss: 0.6422
Epoch [40/100], Step[182/526], Loss: 0.6845
Epoch [40/100], Step[183/526], Loss: 0.5309
Epoch [40/100], Step[184/526], Loss: 0.5965
Epoch [40/100], Step[185/526], Loss: 0.6019
Epoch [40/100], Step[186/526], Loss: 0.6575
Epoch [40/100], Step[187/526], Loss: 0.7462
Epoch [40/100], Step[188/526], Loss: 0.7019
Epoch [40/100], Step[189/526], Loss: 0.6785
Epoch [40/100], Step[190/526], Loss: 0.6205
Epoch [40/100], Step[191/526], Loss: 0.7143
Epoch [40/100], Step[192/526], Loss: 0.7758
Epoch [40/100], Step[193/526], Loss: 0.6519
Epoch [40/100], Step[194/526], Loss: 0.6164
Epoch [40/100], Step[195/526], Loss: 0.6501
Epoch [40/100], Step[196/526], Loss: 0.7326
Epoch [40/100], Step[197/526], Loss: 0.6834
Epoch [40/100], Step[198/526], Loss: 0.6337
Epoch [40/100], Step[199/526], Loss: 0.7328
Epoch [40/100], Step[200/526], Loss: 0.6732
Epoch [40/100], Step[201/526], Loss: 0.6762
Epoch [40/100], Step[202/526], Loss: 0.7512
Epoch [40/100], Step[203/526], Loss: 0.7021
Epoch [40/100], Step[204/526], Loss: 0.7248
Epoch [40/100], Step[205/526], Loss: 0.7038
Epoch [40/100], Step[206/526], Loss: 0.6793
Epoch [40/100], Step[207/526], Loss: 0.7113
Epoch [40/100], Step[208/526], Loss: 0.6831
Epoch [40/100], Step[209/526], Loss: 0.6862
Epoch [40/100], Step[210/526], Loss: 0.7675
Epoch [40/100], Step[211/526], Loss: 0.6325
Epoch [40/100], Step[212/526], Loss: 0.6886
Epoch [40/100], Step[213/526], Loss: 0.7251
Epoch [40/100], Step[214/526], Loss: 0.7456
Epoch [40/100], Step[215/526], Loss: 0.6978
Epoch [40/100], Step[216/526], Loss: 0.6775
Epoch [40/100], Step[217/526], Loss: 0.6764
Epoch [40/100], Step[218/526], Loss: 0.6979
Epoch [40/100], Step[219/526], Loss: 0.6942
Epoch [40/100], Step[220/526], Loss: 0.7273
Epoch [40/100], Step[221/526], Loss: 0.6969
Epoch [40/100], Step[222/526], Loss: 0.7403
Epoch [40/100], Step[223/526], Loss: 0.6715
Epoch [40/100], Step[224/526], Loss: 0.6784
Epoch [40/100], Step[225/526], Loss: 0.7237
Epoch [40/100], Step[226/526], Loss: 0.6719
Epoch [40/100], Step[227/526], Loss: 0.6696
Epoch [40/100], Step[228/526], Loss: 0.6620
Epoch [40/100], Step[229/526], Loss: 0.6866
Epoch [40/100], Step[230/526], Loss: 0.6626
Epoch [40/100], Step[231/526], Loss: 0.6659
Epoch [40/100], Step[232/526], Loss: 0.7096
Epoch [40/100], Step[233/526], Loss: 0.6849
Epoch [40/100], Step[234/526], Loss: 0.6688
Epoch [40/100], Step[235/526], Loss: 0.7113
Epoch [40/100], Step[236/526], Loss: 0.6934
Epoch [40/100], Step[237/526], Loss: 0.7196
Epoch [40/100], Step[238/526], Loss: 0.6658
Epoch [40/100], Step[239/526], Loss: 0.6645
Epoch [40/100], Step[240/526], Loss: 0.7243
Epoch [40/100], Step[241/526], Loss: 0.6844
Epoch [40/100], Step[242/526], Loss: 0.7102
Epoch [40/100], Step[243/526], Loss: 0.6340
Epoch [40/100], Step[244/526], Loss: 0.6525
Epoch [40/100], Step[245/526], Loss: 0.6490
Epoch [40/100], Step[246/526], Loss: 0.6648
Epoch [40/100], Step[247/526], Loss: 0.6197
Epoch [40/100], Step[248/526], Loss: 0.6544
Epoch [40/100], Step[249/526], Loss: 0.6907
Epoch [40/100], Step[250/526], Loss: 0.6855
Epoch [40/100], Step[251/526], Loss: 0.6922
Epoch [40/100], Step[252/526], Loss: 0.6941
Epoch [40/100], Step[253/526], Loss: 0.6242
Epoch [40/100], Step[254/526], Loss: 0.6596
Epoch [40/100], Step[255/526], Loss: 0.6011
Epoch [40/100], Step[256/526], Loss: 0.6744
Epoch [40/100], Step[257/526], Loss: 0.6628
Epoch [40/100], Step[258/526], Loss: 0.6273
Epoch [40/100], Step[259/526], Loss: 0.6727
Epoch [40/100], Step[260/526], Loss: 0.7442
Epoch [40/100], Step[261/526], Loss: 0.7528
Epoch [40/100], Step[262/526], Loss: 0.6795
Epoch [40/100], Step[263/526], Loss: 0.6666
Epoch [40/100], Step[264/526], Loss: 0.6565
Epoch [40/100], Step[265/526], Loss: 0.6294
Epoch [40/100], Step[266/526], Loss: 0.6178
Epoch [40/100], Step[267/526], Loss: 0.5028
Epoch [40/100], Step[268/526], Loss: 0.5433
Epoch [40/100], Step[269/526], Loss: 0.4523
Epoch [40/100], Step[270/526], Loss: 0.3852
Epoch [40/100], Step[271/526], Loss: 0.5130
Epoch [40/100], Step[272/526], Loss: 0.5330
Epoch [40/100], Step[273/526], Loss: 0.6298
Epoch [40/100], Step[274/526], Loss: 0.4328
Epoch [40/100], Step[275/526], Loss: 0.4176
Epoch [40/100], Step[276/526], Loss: 0.4670
Epoch [40/100], Step[277/526], Loss: 0.4239
Epoch [40/100], Step[278/526], Loss: 0.4531
Epoch [40/100], Step[279/526], Loss: 0.4075
Epoch [40/100], Step[280/526], Loss: 0.4480
Epoch [40/100], Step[281/526], Loss: 0.6362
Epoch [40/100], Step[282/526], Loss: 0.3581
Epoch [40/100], Step[283/526], Loss: 0.3693
Epoch [40/100], Step[284/526], Loss: 0.3982
Epoch [40/100], Step[285/526], Loss: 0.2769
Epoch [40/100], Step[286/526], Loss: 0.6933
Epoch [40/100], Step[287/526], Loss: 0.4909
Epoch [40/100], Step[288/526], Loss: 0.4360
Epoch [40/100], Step[289/526], Loss: 0.6160
Epoch [40/100], Step[290/526], Loss: 0.4243
Epoch [40/100], Step[291/526], Loss: 0.4827
Epoch [40/100], Step[292/526], Loss: 0.2551
Epoch [40/100], Step[293/526], Loss: 0.3075
Epoch [40/100], Step[294/526], Loss: 0.3204
Epoch [40/100], Step[295/526], Loss: 0.4155
Epoch [40/100], Step[296/526], Loss: 0.6242
Epoch [40/100], Step[297/526], Loss: 0.2894
Epoch [40/100], Step[298/526], Loss: 0.2899
Epoch [40/100], Step[299/526], Loss: 0.2389
Epoch [40/100], Step[300/526], Loss: 0.2986
Epoch [40/100], Step[301/526], Loss: 0.6151
Epoch [40/100], Step[302/526], Loss: 0.3195
Epoch [40/100], Step[303/526], Loss: 0.4787
Epoch [40/100], Step[304/526], Loss: 0.2571
Epoch [40/100], Step[305/526], Loss: 0.2601
Epoch [40/100], Step[306/526], Loss: 0.5799
Epoch [40/100], Step[307/526], Loss: 0.8853
Epoch [40/100], Step[308/526], Loss: 1.3133
Epoch [40/100], Step[309/526], Loss: 0.8384
Epoch [40/100], Step[310/526], Loss: 0.9632
Epoch [40/100], Step[311/526], Loss: 0.8194
Epoch [40/100], Step[312/526], Loss: 0.4917
Epoch [40/100], Step[313/526], Loss: 0.4810
Epoch [40/100], Step[314/526], Loss: 0.6529
Epoch [40/100], Step[315/526], Loss: 0.6983
Epoch [40/100], Step[316/526], Loss: 0.4894
Epoch [40/100], Step[317/526], Loss: 0.3230
Epoch [40/100], Step[318/526], Loss: 0.7631
Epoch [40/100], Step[319/526], Loss: 0.3541
Epoch [40/100], Step[320/526], Loss: 0.6038
Epoch [40/100], Step[321/526], Loss: 0.7090
Epoch [40/100], Step[322/526], Loss: 0.2684
Epoch [40/100], Step[323/526], Loss: 0.6134
Epoch [40/100], Step[324/526], Loss: 0.6582
Epoch [40/100], Step[325/526], Loss: 0.5664
Epoch [40/100], Step[326/526], Loss: 0.7653
Epoch [40/100], Step[327/526], Loss: 0.7447
Epoch [40/100], Step[328/526], Loss: 0.9258
Epoch [40/100], Step[329/526], Loss: 1.2675
Epoch [40/100], Step[330/526], Loss: 1.0407
Epoch [40/100], Step[331/526], Loss: 0.7942
Epoch [40/100], Step[332/526], Loss: 0.8452
Epoch [40/100], Step[333/526], Loss: 0.7819
Epoch [40/100], Step[334/526], Loss: 0.7854
Epoch [40/100], Step[335/526], Loss: 0.7989
Epoch [40/100], Step[336/526], Loss: 0.6983
Epoch [40/100], Step[337/526], Loss: 0.5878
Epoch [40/100], Step[338/526], Loss: 0.7091
Epoch [40/100], Step[339/526], Loss: 0.6443
Epoch [40/100], Step[340/526], Loss: 0.7248
Epoch [40/100], Step[341/526], Loss: 0.7705
Epoch [40/100], Step[342/526], Loss: 0.7819
Epoch [40/100], Step[343/526], Loss: 0.5401
Epoch [40/100], Step[344/526], Loss: 0.7295
Epoch [40/100], Step[345/526], Loss: 0.6913
Epoch [40/100], Step[346/526], Loss: 0.6638
Epoch [40/100], Step[347/526], Loss: 0.7089
Epoch [40/100], Step[348/526], Loss: 0.6324
Epoch [40/100], Step[349/526], Loss: 0.5759
Epoch [40/100], Step[350/526], Loss: 0.6735
Epoch [40/100], Step[351/526], Loss: 0.7153
Epoch [40/100], Step[352/526], Loss: 0.6085
Epoch [40/100], Step[353/526], Loss: 0.6871
Epoch [40/100], Step[354/526], Loss: 0.6653
Epoch [40/100], Step[355/526], Loss: 0.6728
Epoch [40/100], Step[356/526], Loss: 0.6997
Epoch [40/100], Step[357/526], Loss: 0.6586
Epoch [40/100], Step[358/526], Loss: 0.7018
Epoch [40/100], Step[359/526], Loss: 0.6607
Epoch [40/100], Step[360/526], Loss: 0.6740
Epoch [40/100], Step[361/526], Loss: 0.7359
Epoch [40/100], Step[362/526], Loss: 0.7067
Epoch [40/100], Step[363/526], Loss: 0.6924
Epoch [40/100], Step[364/526], Loss: 0.7147
Epoch [40/100], Step[365/526], Loss: 0.7197
Epoch [40/100], Step[366/526], Loss: 0.6871
Epoch [40/100], Step[367/526], Loss: 0.6890
Epoch [40/100], Step[368/526], Loss: 0.6482
Epoch [40/100], Step[369/526], Loss: 0.6520
Epoch [40/100], Step[370/526], Loss: 0.6594
Epoch [40/100], Step[371/526], Loss: 0.7388
Epoch [40/100], Step[372/526], Loss: 0.6393
Epoch [40/100], Step[373/526], Loss: 0.6731
Epoch [40/100], Step[374/526], Loss: 0.7014
Epoch [40/100], Step[375/526], Loss: 0.6495
Epoch [40/100], Step[376/526], Loss: 0.6320
Epoch [40/100], Step[377/526], Loss: 0.6824
Epoch [40/100], Step[378/526], Loss: 0.6936
Epoch [40/100], Step[379/526], Loss: 0.7465
Epoch [40/100], Step[380/526], Loss: 0.6099
Epoch [40/100], Step[381/526], Loss: 0.5919
Epoch [40/100], Step[382/526], Loss: 0.6685
Epoch [40/100], Step[383/526], Loss: 0.7170
Epoch [40/100], Step[384/526], Loss: 0.6138
Epoch [40/100], Step[385/526], Loss: 0.6919
Epoch [40/100], Step[386/526], Loss: 0.6619
Epoch [40/100], Step[387/526], Loss: 0.6671
Epoch [40/100], Step[388/526], Loss: 0.5887
Epoch [40/100], Step[389/526], Loss: 0.7292
Epoch [40/100], Step[390/526], Loss: 0.5706
Epoch [40/100], Step[391/526], Loss: 0.6522
Epoch [40/100], Step[392/526], Loss: 0.6986
Epoch [40/100], Step[393/526], Loss: 0.5843
Epoch [40/100], Step[394/526], Loss: 0.5165
Epoch [40/100], Step[395/526], Loss: 0.6195
Epoch [40/100], Step[396/526], Loss: 0.6297
Epoch [40/100], Step[397/526], Loss: 0.4704
Epoch [40/100], Step[398/526], Loss: 0.5984
Epoch [40/100], Step[399/526], Loss: 0.6482
Epoch [40/100], Step[400/526], Loss: 0.4764
Epoch [40/100], Step[401/526], Loss: 0.6020
Epoch [40/100], Step[402/526], Loss: 0.6387
Epoch [40/100], Step[403/526], Loss: 0.7236
Epoch [40/100], Step[404/526], Loss: 0.4855
Epoch [40/100], Step[405/526], Loss: 0.5037
Epoch [40/100], Step[406/526], Loss: 0.6311
Epoch [40/100], Step[407/526], Loss: 0.7489
Epoch [40/100], Step[408/526], Loss: 0.6488
Epoch [40/100], Step[409/526], Loss: 0.4691
Epoch [40/100], Step[410/526], Loss: 0.4940
Epoch [40/100], Step[411/526], Loss: 0.5374
Epoch [40/100], Step[412/526], Loss: 0.5947
Epoch [40/100], Step[413/526], Loss: 0.5960
Epoch [40/100], Step[414/526], Loss: 0.6421
Epoch [40/100], Step[415/526], Loss: 0.6161
Epoch [40/100], Step[416/526], Loss: 0.5412
Epoch [40/100], Step[417/526], Loss: 0.4546
Epoch [40/100], Step[418/526], Loss: 0.7478
Epoch [40/100], Step[419/526], Loss: 0.6845
Epoch [40/100], Step[420/526], Loss: 0.6893
Epoch [40/100], Step[421/526], Loss: 0.6357
Epoch [40/100], Step[422/526], Loss: 0.7773
Epoch [40/100], Step[423/526], Loss: 0.7009
Epoch [40/100], Step[424/526], Loss: 0.7422
Epoch [40/100], Step[425/526], Loss: 0.7001
Epoch [40/100], Step[426/526], Loss: 0.7630
Epoch [40/100], Step[427/526], Loss: 0.7047
Epoch [40/100], Step[428/526], Loss: 0.7138
Epoch [40/100], Step[429/526], Loss: 0.7363
Epoch [40/100], Step[430/526], Loss: 0.7829
Epoch [40/100], Step[431/526], Loss: 0.7025
Epoch [40/100], Step[432/526], Loss: 0.7296
Epoch [40/100], Step[433/526], Loss: 0.6748
Epoch [40/100], Step[434/526], Loss: 0.6122
Epoch [40/100], Step[435/526], Loss: 0.7780
Epoch [40/100], Step[436/526], Loss: 0.8113
Epoch [40/100], Step[437/526], Loss: 0.5055
Epoch [40/100], Step[438/526], Loss: 0.3684
Epoch [40/100], Step[439/526], Loss: 0.7237
Epoch [40/100], Step[440/526], Loss: 0.6998
Epoch [40/100], Step[441/526], Loss: 0.6843
Epoch [40/100], Step[442/526], Loss: 0.6420
Epoch [40/100], Step[443/526], Loss: 0.6696
Epoch [40/100], Step[444/526], Loss: 0.7570
Epoch [40/100], Step[445/526], Loss: 0.7037
Epoch [40/100], Step[446/526], Loss: 0.7170
Epoch [40/100], Step[447/526], Loss: 0.7162
Epoch [40/100], Step[448/526], Loss: 0.7221
Epoch [40/100], Step[449/526], Loss: 0.6751
Epoch [40/100], Step[450/526], Loss: 0.5974
Epoch [40/100], Step[451/526], Loss: 0.6624
Epoch [40/100], Step[452/526], Loss: 0.7268
Epoch [40/100], Step[453/526], Loss: 0.7198
Epoch [40/100], Step[454/526], Loss: 0.8240
Epoch [40/100], Step[455/526], Loss: 0.6539
Epoch [40/100], Step[456/526], Loss: 0.6489
Epoch [40/100], Step[457/526], Loss: 0.7230
Epoch [40/100], Step[458/526], Loss: 0.6936
Epoch [40/100], Step[459/526], Loss: 0.6614
Epoch [40/100], Step[460/526], Loss: 0.6433
Epoch [40/100], Step[461/526], Loss: 0.6138
Epoch [40/100], Step[462/526], Loss: 0.6761
Epoch [40/100], Step[463/526], Loss: 0.6518
Epoch [40/100], Step[464/526], Loss: 0.6454
Epoch [40/100], Step[465/526], Loss: 0.6612
Epoch [40/100], Step[466/526], Loss: 0.6644
Epoch [40/100], Step[467/526], Loss: 0.6489
Epoch [40/100], Step[468/526], Loss: 0.6222
Epoch [40/100], Step[469/526], Loss: 0.8051
Epoch [40/100], Step[470/526], Loss: 0.6575
Epoch [40/100], Step[471/526], Loss: 0.6978
Epoch [40/100], Step[472/526], Loss: 0.6710
Epoch [40/100], Step[473/526], Loss: 0.6811
Epoch [40/100], Step[474/526], Loss: 0.6784
Epoch [40/100], Step[475/526], Loss: 0.8348
Epoch [40/100], Step[476/526], Loss: 0.7481
Epoch [40/100], Step[477/526], Loss: 0.7011
Epoch [40/100], Step[478/526], Loss: 0.6938
Epoch [40/100], Step[479/526], Loss: 0.6606
Epoch [40/100], Step[480/526], Loss: 0.7356
Epoch [40/100], Step[481/526], Loss: 0.7242
Epoch [40/100], Step[482/526], Loss: 0.6204
Epoch [40/100], Step[483/526], Loss: 0.5421
Epoch [40/100], Step[484/526], Loss: 0.6948
Epoch [40/100], Step[485/526], Loss: 0.7888
Epoch [40/100], Step[486/526], Loss: 0.7243
Epoch [40/100], Step[487/526], Loss: 0.7552
Epoch [40/100], Step[488/526], Loss: 0.6899
Epoch [40/100], Step[489/526], Loss: 0.6315
Epoch [40/100], Step[490/526], Loss: 0.6108
Epoch [40/100], Step[491/526], Loss: 0.6984
Epoch [40/100], Step[492/526], Loss: 0.6511
Epoch [40/100], Step[493/526], Loss: 0.6435
Epoch [40/100], Step[494/526], Loss: 0.6629
Epoch [40/100], Step[495/526], Loss: 0.6890
Epoch [40/100], Step[496/526], Loss: 0.6639
Epoch [40/100], Step[497/526], Loss: 0.6381
Epoch [40/100], Step[498/526], Loss: 0.6769
Epoch [40/100], Step[499/526], Loss: 0.6716
Epoch [40/100], Step[500/526], Loss: 0.6753
Epoch [40/100], Step[501/526], Loss: 0.6565
Epoch [40/100], Step[502/526], Loss: 0.6970
Epoch [40/100], Step[503/526], Loss: 0.7109
Epoch [40/100], Step[504/526], Loss: 0.6996
Epoch [40/100], Step[505/526], Loss: 0.7087
Epoch [40/100], Step[506/526], Loss: 0.6828
Epoch [40/100], Step[507/526], Loss: 0.6730
Epoch [40/100], Step[508/526], Loss: 0.7042
Epoch [40/100], Step[509/526], Loss: 0.6557
Epoch [40/100], Step[510/526], Loss: 0.7035
Epoch [40/100], Step[511/526], Loss: 0.6432
Epoch [40/100], Step[512/526], Loss: 0.6732
Epoch [40/100], Step[513/526], Loss: 0.6454
Epoch [40/100], Step[514/526], Loss: 0.6537
Epoch [40/100], Step[515/526], Loss: 0.5847
Epoch [40/100], Step[516/526], Loss: 0.7517
Epoch [40/100], Step[517/526], Loss: 0.6898
Epoch [40/100], Step[518/526], Loss: 0.7339
Epoch [40/100], Step[519/526], Loss: 0.7136
Epoch [40/100], Step[520/526], Loss: 0.6751
Epoch [40/100], Step[521/526], Loss: 0.6686
Epoch [40/100], Step[522/526], Loss: 0.6071
Epoch [40/100], Step[523/526], Loss: 0.6471
Epoch [40/100], Step[524/526], Loss: 0.6450
Epoch [40/100], Step[525/526], Loss: 0.7459
Epoch [40/100], Step[526/526], Loss: 0.7036
Epoch [41/100], Step[1/526], Loss: 0.6571
Epoch [41/100], Step[2/526], Loss: 0.6416
Epoch [41/100], Step[3/526], Loss: 0.6802
Epoch [41/100], Step[4/526], Loss: 0.6322
Epoch [41/100], Step[5/526], Loss: 0.7365
Epoch [41/100], Step[6/526], Loss: 0.7457
Epoch [41/100], Step[7/526], Loss: 0.6970
Epoch [41/100], Step[8/526], Loss: 0.6808
Epoch [41/100], Step[9/526], Loss: 0.7101
Epoch [41/100], Step[10/526], Loss: 0.6763
Epoch [41/100], Step[11/526], Loss: 0.6666
Epoch [41/100], Step[12/526], Loss: 0.7189
Epoch [41/100], Step[13/526], Loss: 0.6355
Epoch [41/100], Step[14/526], Loss: 0.6602
Epoch [41/100], Step[15/526], Loss: 0.6875
Epoch [41/100], Step[16/526], Loss: 0.7038
Epoch [41/100], Step[17/526], Loss: 0.7080
Epoch [41/100], Step[18/526], Loss: 0.6941
Epoch [41/100], Step[19/526], Loss: 0.6738
Epoch [41/100], Step[20/526], Loss: 0.7067
Epoch [41/100], Step[21/526], Loss: 0.7509
Epoch [41/100], Step[22/526], Loss: 0.7269
Epoch [41/100], Step[23/526], Loss: 0.7374
Epoch [41/100], Step[24/526], Loss: 0.7153
Epoch [41/100], Step[25/526], Loss: 0.6916
Epoch [41/100], Step[26/526], Loss: 0.6381
Epoch [41/100], Step[27/526], Loss: 0.6862
Epoch [41/100], Step[28/526], Loss: 0.6880
Epoch [41/100], Step[29/526], Loss: 0.6585
Epoch [41/100], Step[30/526], Loss: 0.6909
Epoch [41/100], Step[31/526], Loss: 0.7038
Epoch [41/100], Step[32/526], Loss: 0.6680
Epoch [41/100], Step[33/526], Loss: 0.7066
Epoch [41/100], Step[34/526], Loss: 0.6939
Epoch [41/100], Step[35/526], Loss: 0.7105
Epoch [41/100], Step[36/526], Loss: 0.7008
Epoch [41/100], Step[37/526], Loss: 0.6928
Epoch [41/100], Step[38/526], Loss: 0.7098
Epoch [41/100], Step[39/526], Loss: 0.6936
Epoch [41/100], Step[40/526], Loss: 0.7087
Epoch [41/100], Step[41/526], Loss: 0.6603
Epoch [41/100], Step[42/526], Loss: 0.7274
Epoch [41/100], Step[43/526], Loss: 0.7187
Epoch [41/100], Step[44/526], Loss: 0.6845
Epoch [41/100], Step[45/526], Loss: 0.6897
Epoch [41/100], Step[46/526], Loss: 0.6889
Epoch [41/100], Step[47/526], Loss: 0.7054
Epoch [41/100], Step[48/526], Loss: 0.7250
Epoch [41/100], Step[49/526], Loss: 0.7032
Epoch [41/100], Step[50/526], Loss: 0.7105
Epoch [41/100], Step[51/526], Loss: 0.6945
Epoch [41/100], Step[52/526], Loss: 0.6775
Epoch [41/100], Step[53/526], Loss: 0.7176
Epoch [41/100], Step[54/526], Loss: 0.7034
Epoch [41/100], Step[55/526], Loss: 0.6891
Epoch [41/100], Step[56/526], Loss: 0.7006
Epoch [41/100], Step[57/526], Loss: 0.6839
Epoch [41/100], Step[58/526], Loss: 0.6723
Epoch [41/100], Step[59/526], Loss: 0.6581
Epoch [41/100], Step[60/526], Loss: 0.6692
Epoch [41/100], Step[61/526], Loss: 0.6501
Epoch [41/100], Step[62/526], Loss: 0.6980
Epoch [41/100], Step[63/526], Loss: 0.6868
Epoch [41/100], Step[64/526], Loss: 0.6819
Epoch [41/100], Step[65/526], Loss: 0.7229
Epoch [41/100], Step[66/526], Loss: 0.6841
Epoch [41/100], Step[67/526], Loss: 0.6606
Epoch [41/100], Step[68/526], Loss: 0.6499
Epoch [41/100], Step[69/526], Loss: 0.6964
Epoch [41/100], Step[70/526], Loss: 0.6852
Epoch [41/100], Step[71/526], Loss: 0.6666
Epoch [41/100], Step[72/526], Loss: 0.6821
Epoch [41/100], Step[73/526], Loss: 0.7120
Epoch [41/100], Step[74/526], Loss: 0.6623
Epoch [41/100], Step[75/526], Loss: 0.7048
Epoch [41/100], Step[76/526], Loss: 0.6888
Epoch [41/100], Step[77/526], Loss: 0.6965
Epoch [41/100], Step[78/526], Loss: 0.7105
Epoch [41/100], Step[79/526], Loss: 0.6923
Epoch [41/100], Step[80/526], Loss: 0.6913
Epoch [41/100], Step[81/526], Loss: 0.7027
Epoch [41/100], Step[82/526], Loss: 0.7268
Epoch [41/100], Step[83/526], Loss: 0.7073
Epoch [41/100], Step[84/526], Loss: 0.6936
Epoch [41/100], Step[85/526], Loss: 0.6579
Epoch [41/100], Step[86/526], Loss: 0.7070
Epoch [41/100], Step[87/526], Loss: 0.7041
Epoch [41/100], Step[88/526], Loss: 0.6878
Epoch [41/100], Step[89/526], Loss: 0.7215
Epoch [41/100], Step[90/526], Loss: 0.6860
Epoch [41/100], Step[91/526], Loss: 0.6816
Epoch [41/100], Step[92/526], Loss: 0.6807
Epoch [41/100], Step[93/526], Loss: 0.6862
Epoch [41/100], Step[94/526], Loss: 0.8036
Epoch [41/100], Step[95/526], Loss: 0.7167
Epoch [41/100], Step[96/526], Loss: 0.6259
Epoch [41/100], Step[97/526], Loss: 0.5947
Epoch [41/100], Step[98/526], Loss: 0.6935
Epoch [41/100], Step[99/526], Loss: 0.6868
Epoch [41/100], Step[100/526], Loss: 0.6574
Epoch [41/100], Step[101/526], Loss: 0.6579
Epoch [41/100], Step[102/526], Loss: 0.6331
Epoch [41/100], Step[103/526], Loss: 0.7204
Epoch [41/100], Step[104/526], Loss: 0.6499
Epoch [41/100], Step[105/526], Loss: 0.6391
Epoch [41/100], Step[106/526], Loss: 0.6884
Epoch [41/100], Step[107/526], Loss: 0.6382
Epoch [41/100], Step[108/526], Loss: 0.5776
Epoch [41/100], Step[109/526], Loss: 0.6689
Epoch [41/100], Step[110/526], Loss: 0.6848
Epoch [41/100], Step[111/526], Loss: 0.5912
Epoch [41/100], Step[112/526], Loss: 0.7356
Epoch [41/100], Step[113/526], Loss: 0.6066
Epoch [41/100], Step[114/526], Loss: 0.6609
Epoch [41/100], Step[115/526], Loss: 0.6018
Epoch [41/100], Step[116/526], Loss: 0.6268
Epoch [41/100], Step[117/526], Loss: 0.6609
Epoch [41/100], Step[118/526], Loss: 0.7543
Epoch [41/100], Step[119/526], Loss: 0.6770
Epoch [41/100], Step[120/526], Loss: 0.6796
Epoch [41/100], Step[121/526], Loss: 0.6932
Epoch [41/100], Step[122/526], Loss: 0.6268
Epoch [41/100], Step[123/526], Loss: 0.6464
Epoch [41/100], Step[124/526], Loss: 0.6715
Epoch [41/100], Step[125/526], Loss: 0.6350
Epoch [41/100], Step[126/526], Loss: 0.7190
Epoch [41/100], Step[127/526], Loss: 0.6743
Epoch [41/100], Step[128/526], Loss: 0.6443
Epoch [41/100], Step[129/526], Loss: 0.5946
Epoch [41/100], Step[130/526], Loss: 0.6130
Epoch [41/100], Step[131/526], Loss: 0.6685
Epoch [41/100], Step[132/526], Loss: 0.7170
Epoch [41/100], Step[133/526], Loss: 0.6746
Epoch [41/100], Step[134/526], Loss: 0.6285
Epoch [41/100], Step[135/526], Loss: 0.6450
Epoch [41/100], Step[136/526], Loss: 0.5671
Epoch [41/100], Step[137/526], Loss: 0.6401
Epoch [41/100], Step[138/526], Loss: 0.6476
Epoch [41/100], Step[139/526], Loss: 0.7056
Epoch [41/100], Step[140/526], Loss: 0.5909
Epoch [41/100], Step[141/526], Loss: 0.6848
Epoch [41/100], Step[142/526], Loss: 0.6634
Epoch [41/100], Step[143/526], Loss: 0.6881
Epoch [41/100], Step[144/526], Loss: 0.7793
Epoch [41/100], Step[145/526], Loss: 0.5536
Epoch [41/100], Step[146/526], Loss: 0.5077
Epoch [41/100], Step[147/526], Loss: 0.4583
Epoch [41/100], Step[148/526], Loss: 0.6137
Epoch [41/100], Step[149/526], Loss: 0.4954
Epoch [41/100], Step[150/526], Loss: 0.5577
Epoch [41/100], Step[151/526], Loss: 0.5511
Epoch [41/100], Step[152/526], Loss: 0.6214
Epoch [41/100], Step[153/526], Loss: 0.6231
Epoch [41/100], Step[154/526], Loss: 0.7212
Epoch [41/100], Step[155/526], Loss: 0.6748
Epoch [41/100], Step[156/526], Loss: 0.5301
Epoch [41/100], Step[157/526], Loss: 0.2896
Epoch [41/100], Step[158/526], Loss: 0.5679
Epoch [41/100], Step[159/526], Loss: 0.6732
Epoch [41/100], Step[160/526], Loss: 0.5359
Epoch [41/100], Step[161/526], Loss: 0.9328
Epoch [41/100], Step[162/526], Loss: 0.6909
Epoch [41/100], Step[163/526], Loss: 0.7989
Epoch [41/100], Step[164/526], Loss: 0.6117
Epoch [41/100], Step[165/526], Loss: 0.7108
Epoch [41/100], Step[166/526], Loss: 0.4829
Epoch [41/100], Step[167/526], Loss: 0.5832
Epoch [41/100], Step[168/526], Loss: 0.7409
Epoch [41/100], Step[169/526], Loss: 0.7883
Epoch [41/100], Step[170/526], Loss: 0.7007
Epoch [41/100], Step[171/526], Loss: 0.7612
Epoch [41/100], Step[172/526], Loss: 0.7159
Epoch [41/100], Step[173/526], Loss: 0.8521
Epoch [41/100], Step[174/526], Loss: 0.6332
Epoch [41/100], Step[175/526], Loss: 0.6600
Epoch [41/100], Step[176/526], Loss: 0.6231
Epoch [41/100], Step[177/526], Loss: 0.6716
Epoch [41/100], Step[178/526], Loss: 0.6899
Epoch [41/100], Step[179/526], Loss: 0.6449
Epoch [41/100], Step[180/526], Loss: 0.6799
Epoch [41/100], Step[181/526], Loss: 0.6388
Epoch [41/100], Step[182/526], Loss: 0.6885
Epoch [41/100], Step[183/526], Loss: 0.5282
Epoch [41/100], Step[184/526], Loss: 0.5990
Epoch [41/100], Step[185/526], Loss: 0.5901
Epoch [41/100], Step[186/526], Loss: 0.6674
Epoch [41/100], Step[187/526], Loss: 0.7377
Epoch [41/100], Step[188/526], Loss: 0.6951
Epoch [41/100], Step[189/526], Loss: 0.6782
Epoch [41/100], Step[190/526], Loss: 0.6071
Epoch [41/100], Step[191/526], Loss: 0.7019
Epoch [41/100], Step[192/526], Loss: 0.7599
Epoch [41/100], Step[193/526], Loss: 0.6550
Epoch [41/100], Step[194/526], Loss: 0.6133
Epoch [41/100], Step[195/526], Loss: 0.6484
Epoch [41/100], Step[196/526], Loss: 0.7203
Epoch [41/100], Step[197/526], Loss: 0.6782
Epoch [41/100], Step[198/526], Loss: 0.6340
Epoch [41/100], Step[199/526], Loss: 0.7319
Epoch [41/100], Step[200/526], Loss: 0.6737
Epoch [41/100], Step[201/526], Loss: 0.6740
Epoch [41/100], Step[202/526], Loss: 0.7373
Epoch [41/100], Step[203/526], Loss: 0.7068
Epoch [41/100], Step[204/526], Loss: 0.7216
Epoch [41/100], Step[205/526], Loss: 0.7005
Epoch [41/100], Step[206/526], Loss: 0.6824
Epoch [41/100], Step[207/526], Loss: 0.7068
Epoch [41/100], Step[208/526], Loss: 0.6832
Epoch [41/100], Step[209/526], Loss: 0.6819
Epoch [41/100], Step[210/526], Loss: 0.7724
Epoch [41/100], Step[211/526], Loss: 0.6365
Epoch [41/100], Step[212/526], Loss: 0.6876
Epoch [41/100], Step[213/526], Loss: 0.7205
Epoch [41/100], Step[214/526], Loss: 0.7463
Epoch [41/100], Step[215/526], Loss: 0.6919
Epoch [41/100], Step[216/526], Loss: 0.6781
Epoch [41/100], Step[217/526], Loss: 0.6726
Epoch [41/100], Step[218/526], Loss: 0.6991
Epoch [41/100], Step[219/526], Loss: 0.6937
Epoch [41/100], Step[220/526], Loss: 0.7287
Epoch [41/100], Step[221/526], Loss: 0.6930
Epoch [41/100], Step[222/526], Loss: 0.7443
Epoch [41/100], Step[223/526], Loss: 0.6782
Epoch [41/100], Step[224/526], Loss: 0.6842
Epoch [41/100], Step[225/526], Loss: 0.7224
Epoch [41/100], Step[226/526], Loss: 0.6757
Epoch [41/100], Step[227/526], Loss: 0.6712
Epoch [41/100], Step[228/526], Loss: 0.6644
Epoch [41/100], Step[229/526], Loss: 0.6873
Epoch [41/100], Step[230/526], Loss: 0.6621
Epoch [41/100], Step[231/526], Loss: 0.6668
Epoch [41/100], Step[232/526], Loss: 0.7091
Epoch [41/100], Step[233/526], Loss: 0.6847
Epoch [41/100], Step[234/526], Loss: 0.6783
Epoch [41/100], Step[235/526], Loss: 0.7046
Epoch [41/100], Step[236/526], Loss: 0.6935
Epoch [41/100], Step[237/526], Loss: 0.7182
Epoch [41/100], Step[238/526], Loss: 0.6823
Epoch [41/100], Step[239/526], Loss: 0.6705
Epoch [41/100], Step[240/526], Loss: 0.7280
Epoch [41/100], Step[241/526], Loss: 0.6960
Epoch [41/100], Step[242/526], Loss: 0.7101
Epoch [41/100], Step[243/526], Loss: 0.6297
Epoch [41/100], Step[244/526], Loss: 0.6528
Epoch [41/100], Step[245/526], Loss: 0.6426
Epoch [41/100], Step[246/526], Loss: 0.6645
Epoch [41/100], Step[247/526], Loss: 0.6221
Epoch [41/100], Step[248/526], Loss: 0.6547
Epoch [41/100], Step[249/526], Loss: 0.6681
Epoch [41/100], Step[250/526], Loss: 0.6814
Epoch [41/100], Step[251/526], Loss: 0.7019
Epoch [41/100], Step[252/526], Loss: 0.6954
Epoch [41/100], Step[253/526], Loss: 0.6312
Epoch [41/100], Step[254/526], Loss: 0.6662
Epoch [41/100], Step[255/526], Loss: 0.6024
Epoch [41/100], Step[256/526], Loss: 0.6866
Epoch [41/100], Step[257/526], Loss: 0.6645
Epoch [41/100], Step[258/526], Loss: 0.6287
Epoch [41/100], Step[259/526], Loss: 0.6845
Epoch [41/100], Step[260/526], Loss: 0.7419
Epoch [41/100], Step[261/526], Loss: 0.7541
Epoch [41/100], Step[262/526], Loss: 0.6807
Epoch [41/100], Step[263/526], Loss: 0.6637
Epoch [41/100], Step[264/526], Loss: 0.6392
Epoch [41/100], Step[265/526], Loss: 0.6308
Epoch [41/100], Step[266/526], Loss: 0.6330
Epoch [41/100], Step[267/526], Loss: 0.5048
Epoch [41/100], Step[268/526], Loss: 0.5449
Epoch [41/100], Step[269/526], Loss: 0.4546
Epoch [41/100], Step[270/526], Loss: 0.3855
Epoch [41/100], Step[271/526], Loss: 0.5123
Epoch [41/100], Step[272/526], Loss: 0.5327
Epoch [41/100], Step[273/526], Loss: 0.6307
Epoch [41/100], Step[274/526], Loss: 0.4352
Epoch [41/100], Step[275/526], Loss: 0.4187
Epoch [41/100], Step[276/526], Loss: 0.4661
Epoch [41/100], Step[277/526], Loss: 0.4230
Epoch [41/100], Step[278/526], Loss: 0.4534
Epoch [41/100], Step[279/526], Loss: 0.4045
Epoch [41/100], Step[280/526], Loss: 0.4467
Epoch [41/100], Step[281/526], Loss: 0.6252
Epoch [41/100], Step[282/526], Loss: 0.3580
Epoch [41/100], Step[283/526], Loss: 0.3630
Epoch [41/100], Step[284/526], Loss: 0.3976
Epoch [41/100], Step[285/526], Loss: 0.2756
Epoch [41/100], Step[286/526], Loss: 0.6981
Epoch [41/100], Step[287/526], Loss: 0.4815
Epoch [41/100], Step[288/526], Loss: 0.4334
Epoch [41/100], Step[289/526], Loss: 0.6158
Epoch [41/100], Step[290/526], Loss: 0.4231
Epoch [41/100], Step[291/526], Loss: 0.4819
Epoch [41/100], Step[292/526], Loss: 0.2538
Epoch [41/100], Step[293/526], Loss: 0.3074
Epoch [41/100], Step[294/526], Loss: 0.3198
Epoch [41/100], Step[295/526], Loss: 0.4190
Epoch [41/100], Step[296/526], Loss: 0.6260
Epoch [41/100], Step[297/526], Loss: 0.2900
Epoch [41/100], Step[298/526], Loss: 0.2868
Epoch [41/100], Step[299/526], Loss: 0.2376
Epoch [41/100], Step[300/526], Loss: 0.2971
Epoch [41/100], Step[301/526], Loss: 0.6144
Epoch [41/100], Step[302/526], Loss: 0.3197
Epoch [41/100], Step[303/526], Loss: 0.4728
Epoch [41/100], Step[304/526], Loss: 0.2560
Epoch [41/100], Step[305/526], Loss: 0.2606
Epoch [41/100], Step[306/526], Loss: 0.5811
Epoch [41/100], Step[307/526], Loss: 0.8862
Epoch [41/100], Step[308/526], Loss: 1.3144
Epoch [41/100], Step[309/526], Loss: 0.8575
Epoch [41/100], Step[310/526], Loss: 0.9639
Epoch [41/100], Step[311/526], Loss: 0.8191
Epoch [41/100], Step[312/526], Loss: 0.4927
Epoch [41/100], Step[313/526], Loss: 0.4817
Epoch [41/100], Step[314/526], Loss: 0.6523
Epoch [41/100], Step[315/526], Loss: 0.6991
Epoch [41/100], Step[316/526], Loss: 0.4911
Epoch [41/100], Step[317/526], Loss: 0.3235
Epoch [41/100], Step[318/526], Loss: 0.7642
Epoch [41/100], Step[319/526], Loss: 0.3542
Epoch [41/100], Step[320/526], Loss: 0.6110
Epoch [41/100], Step[321/526], Loss: 0.7127
Epoch [41/100], Step[322/526], Loss: 0.2666
Epoch [41/100], Step[323/526], Loss: 0.6133
Epoch [41/100], Step[324/526], Loss: 0.6568
Epoch [41/100], Step[325/526], Loss: 0.5767
Epoch [41/100], Step[326/526], Loss: 0.7665
Epoch [41/100], Step[327/526], Loss: 0.7336
Epoch [41/100], Step[328/526], Loss: 0.9296
Epoch [41/100], Step[329/526], Loss: 1.2788
Epoch [41/100], Step[330/526], Loss: 1.0410
Epoch [41/100], Step[331/526], Loss: 0.7924
Epoch [41/100], Step[332/526], Loss: 0.8385
Epoch [41/100], Step[333/526], Loss: 0.7804
Epoch [41/100], Step[334/526], Loss: 0.7782
Epoch [41/100], Step[335/526], Loss: 0.7981
Epoch [41/100], Step[336/526], Loss: 0.6962
Epoch [41/100], Step[337/526], Loss: 0.5927
Epoch [41/100], Step[338/526], Loss: 0.7077
Epoch [41/100], Step[339/526], Loss: 0.6433
Epoch [41/100], Step[340/526], Loss: 0.7247
Epoch [41/100], Step[341/526], Loss: 0.7761
Epoch [41/100], Step[342/526], Loss: 0.7878
Epoch [41/100], Step[343/526], Loss: 0.5412
Epoch [41/100], Step[344/526], Loss: 0.7335
Epoch [41/100], Step[345/526], Loss: 0.6513
Epoch [41/100], Step[346/526], Loss: 0.6714
Epoch [41/100], Step[347/526], Loss: 0.7079
Epoch [41/100], Step[348/526], Loss: 0.6347
Epoch [41/100], Step[349/526], Loss: 0.5758
Epoch [41/100], Step[350/526], Loss: 0.6741
Epoch [41/100], Step[351/526], Loss: 0.7174
Epoch [41/100], Step[352/526], Loss: 0.6155
Epoch [41/100], Step[353/526], Loss: 0.6878
Epoch [41/100], Step[354/526], Loss: 0.6702
Epoch [41/100], Step[355/526], Loss: 0.6735
Epoch [41/100], Step[356/526], Loss: 0.7045
Epoch [41/100], Step[357/526], Loss: 0.6585
Epoch [41/100], Step[358/526], Loss: 0.6963
Epoch [41/100], Step[359/526], Loss: 0.6496
Epoch [41/100], Step[360/526], Loss: 0.6761
Epoch [41/100], Step[361/526], Loss: 0.7312
Epoch [41/100], Step[362/526], Loss: 0.7062
Epoch [41/100], Step[363/526], Loss: 0.6924
Epoch [41/100], Step[364/526], Loss: 0.7132
Epoch [41/100], Step[365/526], Loss: 0.7182
Epoch [41/100], Step[366/526], Loss: 0.6872
Epoch [41/100], Step[367/526], Loss: 0.6897
Epoch [41/100], Step[368/526], Loss: 0.6494
Epoch [41/100], Step[369/526], Loss: 0.6579
Epoch [41/100], Step[370/526], Loss: 0.6247
Epoch [41/100], Step[371/526], Loss: 0.7356
Epoch [41/100], Step[372/526], Loss: 0.6427
Epoch [41/100], Step[373/526], Loss: 0.6765
Epoch [41/100], Step[374/526], Loss: 0.7017
Epoch [41/100], Step[375/526], Loss: 0.6489
Epoch [41/100], Step[376/526], Loss: 0.6437
Epoch [41/100], Step[377/526], Loss: 0.6863
Epoch [41/100], Step[378/526], Loss: 0.6911
Epoch [41/100], Step[379/526], Loss: 0.7436
Epoch [41/100], Step[380/526], Loss: 0.6115
Epoch [41/100], Step[381/526], Loss: 0.5967
Epoch [41/100], Step[382/526], Loss: 0.6718
Epoch [41/100], Step[383/526], Loss: 0.6944
Epoch [41/100], Step[384/526], Loss: 0.6333
Epoch [41/100], Step[385/526], Loss: 0.6282
Epoch [41/100], Step[386/526], Loss: 0.6627
Epoch [41/100], Step[387/526], Loss: 0.6535
Epoch [41/100], Step[388/526], Loss: 0.5955
Epoch [41/100], Step[389/526], Loss: 0.7161
Epoch [41/100], Step[390/526], Loss: 0.5881
Epoch [41/100], Step[391/526], Loss: 0.6528
Epoch [41/100], Step[392/526], Loss: 0.6990
Epoch [41/100], Step[393/526], Loss: 0.5864
Epoch [41/100], Step[394/526], Loss: 0.5153
Epoch [41/100], Step[395/526], Loss: 0.6198
Epoch [41/100], Step[396/526], Loss: 0.6297
Epoch [41/100], Step[397/526], Loss: 0.4731
Epoch [41/100], Step[398/526], Loss: 0.6029
Epoch [41/100], Step[399/526], Loss: 0.6518
Epoch [41/100], Step[400/526], Loss: 0.4734
Epoch [41/100], Step[401/526], Loss: 0.5946
Epoch [41/100], Step[402/526], Loss: 0.6394
Epoch [41/100], Step[403/526], Loss: 0.7748
Epoch [41/100], Step[404/526], Loss: 0.4817
Epoch [41/100], Step[405/526], Loss: 0.5034
Epoch [41/100], Step[406/526], Loss: 0.6297
Epoch [41/100], Step[407/526], Loss: 0.7520
Epoch [41/100], Step[408/526], Loss: 0.6535
Epoch [41/100], Step[409/526], Loss: 0.4669
Epoch [41/100], Step[410/526], Loss: 0.4927
Epoch [41/100], Step[411/526], Loss: 0.5358
Epoch [41/100], Step[412/526], Loss: 0.5930
Epoch [41/100], Step[413/526], Loss: 0.5948
Epoch [41/100], Step[414/526], Loss: 0.6401
Epoch [41/100], Step[415/526], Loss: 0.6109
Epoch [41/100], Step[416/526], Loss: 0.5426
Epoch [41/100], Step[417/526], Loss: 0.4475
Epoch [41/100], Step[418/526], Loss: 0.7426
Epoch [41/100], Step[419/526], Loss: 0.6836
Epoch [41/100], Step[420/526], Loss: 0.6840
Epoch [41/100], Step[421/526], Loss: 0.6362
Epoch [41/100], Step[422/526], Loss: 0.7786
Epoch [41/100], Step[423/526], Loss: 0.7011
Epoch [41/100], Step[424/526], Loss: 0.7413
Epoch [41/100], Step[425/526], Loss: 0.7017
Epoch [41/100], Step[426/526], Loss: 0.7621
Epoch [41/100], Step[427/526], Loss: 0.7050
Epoch [41/100], Step[428/526], Loss: 0.7134
Epoch [41/100], Step[429/526], Loss: 0.7318
Epoch [41/100], Step[430/526], Loss: 0.7916
Epoch [41/100], Step[431/526], Loss: 0.7044
Epoch [41/100], Step[432/526], Loss: 0.7291
Epoch [41/100], Step[433/526], Loss: 0.6758
Epoch [41/100], Step[434/526], Loss: 0.6121
Epoch [41/100], Step[435/526], Loss: 0.7771
Epoch [41/100], Step[436/526], Loss: 0.8105
Epoch [41/100], Step[437/526], Loss: 0.4970
Epoch [41/100], Step[438/526], Loss: 0.3683
Epoch [41/100], Step[439/526], Loss: 0.7229
Epoch [41/100], Step[440/526], Loss: 0.6858
Epoch [41/100], Step[441/526], Loss: 0.7145
Epoch [41/100], Step[442/526], Loss: 0.6418
Epoch [41/100], Step[443/526], Loss: 0.6709
Epoch [41/100], Step[444/526], Loss: 0.7535
Epoch [41/100], Step[445/526], Loss: 0.7040
Epoch [41/100], Step[446/526], Loss: 0.7154
Epoch [41/100], Step[447/526], Loss: 0.7163
Epoch [41/100], Step[448/526], Loss: 0.7203
Epoch [41/100], Step[449/526], Loss: 0.6733
Epoch [41/100], Step[450/526], Loss: 0.6047
Epoch [41/100], Step[451/526], Loss: 0.6615
Epoch [41/100], Step[452/526], Loss: 0.7257
Epoch [41/100], Step[453/526], Loss: 0.7046
Epoch [41/100], Step[454/526], Loss: 0.8238
Epoch [41/100], Step[455/526], Loss: 0.6704
Epoch [41/100], Step[456/526], Loss: 0.6312
Epoch [41/100], Step[457/526], Loss: 0.7092
Epoch [41/100], Step[458/526], Loss: 0.6758
Epoch [41/100], Step[459/526], Loss: 0.6644
Epoch [41/100], Step[460/526], Loss: 0.6454
Epoch [41/100], Step[461/526], Loss: 0.6132
Epoch [41/100], Step[462/526], Loss: 0.6763
Epoch [41/100], Step[463/526], Loss: 0.6511
Epoch [41/100], Step[464/526], Loss: 0.6421
Epoch [41/100], Step[465/526], Loss: 0.6618
Epoch [41/100], Step[466/526], Loss: 0.6622
Epoch [41/100], Step[467/526], Loss: 0.6496
Epoch [41/100], Step[468/526], Loss: 0.6206
Epoch [41/100], Step[469/526], Loss: 0.8044
Epoch [41/100], Step[470/526], Loss: 0.6575
Epoch [41/100], Step[471/526], Loss: 0.6967
Epoch [41/100], Step[472/526], Loss: 0.6707
Epoch [41/100], Step[473/526], Loss: 0.6807
Epoch [41/100], Step[474/526], Loss: 0.6784
Epoch [41/100], Step[475/526], Loss: 0.8391
Epoch [41/100], Step[476/526], Loss: 0.7478
Epoch [41/100], Step[477/526], Loss: 0.7003
Epoch [41/100], Step[478/526], Loss: 0.6890
Epoch [41/100], Step[479/526], Loss: 0.6602
Epoch [41/100], Step[480/526], Loss: 0.7356
Epoch [41/100], Step[481/526], Loss: 0.7279
Epoch [41/100], Step[482/526], Loss: 0.6225
Epoch [41/100], Step[483/526], Loss: 0.5438
Epoch [41/100], Step[484/526], Loss: 0.6959
Epoch [41/100], Step[485/526], Loss: 0.7755
Epoch [41/100], Step[486/526], Loss: 0.7262
Epoch [41/100], Step[487/526], Loss: 0.7487
Epoch [41/100], Step[488/526], Loss: 0.6944
Epoch [41/100], Step[489/526], Loss: 0.6332
Epoch [41/100], Step[490/526], Loss: 0.6138
Epoch [41/100], Step[491/526], Loss: 0.7008
Epoch [41/100], Step[492/526], Loss: 0.6439
Epoch [41/100], Step[493/526], Loss: 0.6433
Epoch [41/100], Step[494/526], Loss: 0.6640
Epoch [41/100], Step[495/526], Loss: 0.6896
Epoch [41/100], Step[496/526], Loss: 0.6647
Epoch [41/100], Step[497/526], Loss: 0.6381
Epoch [41/100], Step[498/526], Loss: 0.6762
Epoch [41/100], Step[499/526], Loss: 0.6709
Epoch [41/100], Step[500/526], Loss: 0.6764
Epoch [41/100], Step[501/526], Loss: 0.6574
Epoch [41/100], Step[502/526], Loss: 0.6989
Epoch [41/100], Step[503/526], Loss: 0.7125
Epoch [41/100], Step[504/526], Loss: 0.7015
Epoch [41/100], Step[505/526], Loss: 0.7105
Epoch [41/100], Step[506/526], Loss: 0.6818
Epoch [41/100], Step[507/526], Loss: 0.6724
Epoch [41/100], Step[508/526], Loss: 0.7033
Epoch [41/100], Step[509/526], Loss: 0.6549
Epoch [41/100], Step[510/526], Loss: 0.7027
Epoch [41/100], Step[511/526], Loss: 0.6439
Epoch [41/100], Step[512/526], Loss: 0.6736
Epoch [41/100], Step[513/526], Loss: 0.6441
Epoch [41/100], Step[514/526], Loss: 0.6547
Epoch [41/100], Step[515/526], Loss: 0.5806
Epoch [41/100], Step[516/526], Loss: 0.7524
Epoch [41/100], Step[517/526], Loss: 0.6886
Epoch [41/100], Step[518/526], Loss: 0.7351
Epoch [41/100], Step[519/526], Loss: 0.7132
Epoch [41/100], Step[520/526], Loss: 0.6875
Epoch [41/100], Step[521/526], Loss: 0.6703
Epoch [41/100], Step[522/526], Loss: 0.6075
Epoch [41/100], Step[523/526], Loss: 0.6500
Epoch [41/100], Step[524/526], Loss: 0.6528
Epoch [41/100], Step[525/526], Loss: 0.7441
Epoch [41/100], Step[526/526], Loss: 0.7066
Epoch [42/100], Step[1/526], Loss: 0.6572
Epoch [42/100], Step[2/526], Loss: 0.6422
Epoch [42/100], Step[3/526], Loss: 0.6911
Epoch [42/100], Step[4/526], Loss: 0.6318
Epoch [42/100], Step[5/526], Loss: 0.7379
Epoch [42/100], Step[6/526], Loss: 0.7473
Epoch [42/100], Step[7/526], Loss: 0.6973
Epoch [42/100], Step[8/526], Loss: 0.6807
Epoch [42/100], Step[9/526], Loss: 0.7092
Epoch [42/100], Step[10/526], Loss: 0.6757
Epoch [42/100], Step[11/526], Loss: 0.6668
Epoch [42/100], Step[12/526], Loss: 0.7190
Epoch [42/100], Step[13/526], Loss: 0.6339
Epoch [42/100], Step[14/526], Loss: 0.6621
Epoch [42/100], Step[15/526], Loss: 0.6862
Epoch [42/100], Step[16/526], Loss: 0.7040
Epoch [42/100], Step[17/526], Loss: 0.7112
Epoch [42/100], Step[18/526], Loss: 0.6789
Epoch [42/100], Step[19/526], Loss: 0.6716
Epoch [42/100], Step[20/526], Loss: 0.7214
Epoch [42/100], Step[21/526], Loss: 0.7669
Epoch [42/100], Step[22/526], Loss: 0.7378
Epoch [42/100], Step[23/526], Loss: 0.7371
Epoch [42/100], Step[24/526], Loss: 0.7144
Epoch [42/100], Step[25/526], Loss: 0.6923
Epoch [42/100], Step[26/526], Loss: 0.6372
Epoch [42/100], Step[27/526], Loss: 0.6870
Epoch [42/100], Step[28/526], Loss: 0.6871
Epoch [42/100], Step[29/526], Loss: 0.6619
Epoch [42/100], Step[30/526], Loss: 0.6919
Epoch [42/100], Step[31/526], Loss: 0.7037
Epoch [42/100], Step[32/526], Loss: 0.6676
Epoch [42/100], Step[33/526], Loss: 0.7085
Epoch [42/100], Step[34/526], Loss: 0.6953
Epoch [42/100], Step[35/526], Loss: 0.7106
Epoch [42/100], Step[36/526], Loss: 0.7010
Epoch [42/100], Step[37/526], Loss: 0.6916
Epoch [42/100], Step[38/526], Loss: 0.7110
Epoch [42/100], Step[39/526], Loss: 0.6921
Epoch [42/100], Step[40/526], Loss: 0.7143
Epoch [42/100], Step[41/526], Loss: 0.6606
Epoch [42/100], Step[42/526], Loss: 0.7277
Epoch [42/100], Step[43/526], Loss: 0.7188
Epoch [42/100], Step[44/526], Loss: 0.6862
Epoch [42/100], Step[45/526], Loss: 0.6910
Epoch [42/100], Step[46/526], Loss: 0.6887
Epoch [42/100], Step[47/526], Loss: 0.7048
Epoch [42/100], Step[48/526], Loss: 0.7245
Epoch [42/100], Step[49/526], Loss: 0.7040
Epoch [42/100], Step[50/526], Loss: 0.7117
Epoch [42/100], Step[51/526], Loss: 0.6947
Epoch [42/100], Step[52/526], Loss: 0.6757
Epoch [42/100], Step[53/526], Loss: 0.7181
Epoch [42/100], Step[54/526], Loss: 0.7000
Epoch [42/100], Step[55/526], Loss: 0.6885
Epoch [42/100], Step[56/526], Loss: 0.7001
Epoch [42/100], Step[57/526], Loss: 0.6842
Epoch [42/100], Step[58/526], Loss: 0.6736
Epoch [42/100], Step[59/526], Loss: 0.6547
Epoch [42/100], Step[60/526], Loss: 0.6690
Epoch [42/100], Step[61/526], Loss: 0.6507
Epoch [42/100], Step[62/526], Loss: 0.6976
Epoch [42/100], Step[63/526], Loss: 0.6879
Epoch [42/100], Step[64/526], Loss: 0.6825
Epoch [42/100], Step[65/526], Loss: 0.7235
Epoch [42/100], Step[66/526], Loss: 0.6843
Epoch [42/100], Step[67/526], Loss: 0.6621
Epoch [42/100], Step[68/526], Loss: 0.6501
Epoch [42/100], Step[69/526], Loss: 0.6962
Epoch [42/100], Step[70/526], Loss: 0.6837
Epoch [42/100], Step[71/526], Loss: 0.6667
Epoch [42/100], Step[72/526], Loss: 0.6823
Epoch [42/100], Step[73/526], Loss: 0.7119
Epoch [42/100], Step[74/526], Loss: 0.6638
Epoch [42/100], Step[75/526], Loss: 0.7043
Epoch [42/100], Step[76/526], Loss: 0.6902
Epoch [42/100], Step[77/526], Loss: 0.6959
Epoch [42/100], Step[78/526], Loss: 0.7095
Epoch [42/100], Step[79/526], Loss: 0.6929
Epoch [42/100], Step[80/526], Loss: 0.6908
Epoch [42/100], Step[81/526], Loss: 0.7029
Epoch [42/100], Step[82/526], Loss: 0.7257
Epoch [42/100], Step[83/526], Loss: 0.7060
Epoch [42/100], Step[84/526], Loss: 0.6985
Epoch [42/100], Step[85/526], Loss: 0.6646
Epoch [42/100], Step[86/526], Loss: 0.7071
Epoch [42/100], Step[87/526], Loss: 0.6850
Epoch [42/100], Step[88/526], Loss: 0.6910
Epoch [42/100], Step[89/526], Loss: 0.7218
Epoch [42/100], Step[90/526], Loss: 0.6841
Epoch [42/100], Step[91/526], Loss: 0.6843
Epoch [42/100], Step[92/526], Loss: 0.6811
Epoch [42/100], Step[93/526], Loss: 0.6899
Epoch [42/100], Step[94/526], Loss: 0.8004
Epoch [42/100], Step[95/526], Loss: 0.7161
Epoch [42/100], Step[96/526], Loss: 0.6257
Epoch [42/100], Step[97/526], Loss: 0.5945
Epoch [42/100], Step[98/526], Loss: 0.6917
Epoch [42/100], Step[99/526], Loss: 0.6856
Epoch [42/100], Step[100/526], Loss: 0.6658
Epoch [42/100], Step[101/526], Loss: 0.6573
Epoch [42/100], Step[102/526], Loss: 0.6330
Epoch [42/100], Step[103/526], Loss: 0.7050
Epoch [42/100], Step[104/526], Loss: 0.6516
Epoch [42/100], Step[105/526], Loss: 0.6386
Epoch [42/100], Step[106/526], Loss: 0.6901
Epoch [42/100], Step[107/526], Loss: 0.6374
Epoch [42/100], Step[108/526], Loss: 0.5778
Epoch [42/100], Step[109/526], Loss: 0.6687
Epoch [42/100], Step[110/526], Loss: 0.6831
Epoch [42/100], Step[111/526], Loss: 0.5921
Epoch [42/100], Step[112/526], Loss: 0.7355
Epoch [42/100], Step[113/526], Loss: 0.6057
Epoch [42/100], Step[114/526], Loss: 0.6584
Epoch [42/100], Step[115/526], Loss: 0.5986
Epoch [42/100], Step[116/526], Loss: 0.6269
Epoch [42/100], Step[117/526], Loss: 0.6638
Epoch [42/100], Step[118/526], Loss: 0.7582
Epoch [42/100], Step[119/526], Loss: 0.6786
Epoch [42/100], Step[120/526], Loss: 0.6796
Epoch [42/100], Step[121/526], Loss: 0.6932
Epoch [42/100], Step[122/526], Loss: 0.6250
Epoch [42/100], Step[123/526], Loss: 0.6468
Epoch [42/100], Step[124/526], Loss: 0.6719
Epoch [42/100], Step[125/526], Loss: 0.6339
Epoch [42/100], Step[126/526], Loss: 0.7201
Epoch [42/100], Step[127/526], Loss: 0.6747
Epoch [42/100], Step[128/526], Loss: 0.6435
Epoch [42/100], Step[129/526], Loss: 0.5953
Epoch [42/100], Step[130/526], Loss: 0.6133
Epoch [42/100], Step[131/526], Loss: 0.6694
Epoch [42/100], Step[132/526], Loss: 0.7181
Epoch [42/100], Step[133/526], Loss: 0.6759
Epoch [42/100], Step[134/526], Loss: 0.6321
Epoch [42/100], Step[135/526], Loss: 0.6434
Epoch [42/100], Step[136/526], Loss: 0.5661
Epoch [42/100], Step[137/526], Loss: 0.6439
Epoch [42/100], Step[138/526], Loss: 0.6492
Epoch [42/100], Step[139/526], Loss: 0.7035
Epoch [42/100], Step[140/526], Loss: 0.5935
Epoch [42/100], Step[141/526], Loss: 0.6816
Epoch [42/100], Step[142/526], Loss: 0.6639
Epoch [42/100], Step[143/526], Loss: 0.6888
Epoch [42/100], Step[144/526], Loss: 0.7792
Epoch [42/100], Step[145/526], Loss: 0.5477
Epoch [42/100], Step[146/526], Loss: 0.5107
Epoch [42/100], Step[147/526], Loss: 0.4563
Epoch [42/100], Step[148/526], Loss: 0.5985
Epoch [42/100], Step[149/526], Loss: 0.4979
Epoch [42/100], Step[150/526], Loss: 0.5773
Epoch [42/100], Step[151/526], Loss: 0.5564
Epoch [42/100], Step[152/526], Loss: 0.6206
Epoch [42/100], Step[153/526], Loss: 0.6313
Epoch [42/100], Step[154/526], Loss: 0.7203
Epoch [42/100], Step[155/526], Loss: 0.7014
Epoch [42/100], Step[156/526], Loss: 0.5322
Epoch [42/100], Step[157/526], Loss: 0.2744
Epoch [42/100], Step[158/526], Loss: 0.5935
Epoch [42/100], Step[159/526], Loss: 0.6696
Epoch [42/100], Step[160/526], Loss: 0.5469
Epoch [42/100], Step[161/526], Loss: 0.9338
Epoch [42/100], Step[162/526], Loss: 0.6947
Epoch [42/100], Step[163/526], Loss: 0.7215
Epoch [42/100], Step[164/526], Loss: 0.6206
Epoch [42/100], Step[165/526], Loss: 0.7024
Epoch [42/100], Step[166/526], Loss: 0.4999
Epoch [42/100], Step[167/526], Loss: 0.5549
Epoch [42/100], Step[168/526], Loss: 0.6942
Epoch [42/100], Step[169/526], Loss: 0.7585
Epoch [42/100], Step[170/526], Loss: 0.7028
Epoch [42/100], Step[171/526], Loss: 0.7327
Epoch [42/100], Step[172/526], Loss: 0.7101
Epoch [42/100], Step[173/526], Loss: 0.8278
Epoch [42/100], Step[174/526], Loss: 0.6302
Epoch [42/100], Step[175/526], Loss: 0.6627
Epoch [42/100], Step[176/526], Loss: 0.6183
Epoch [42/100], Step[177/526], Loss: 0.6568
Epoch [42/100], Step[178/526], Loss: 0.6887
Epoch [42/100], Step[179/526], Loss: 0.6261
Epoch [42/100], Step[180/526], Loss: 0.6758
Epoch [42/100], Step[181/526], Loss: 0.6408
Epoch [42/100], Step[182/526], Loss: 0.6736
Epoch [42/100], Step[183/526], Loss: 0.5290
Epoch [42/100], Step[184/526], Loss: 0.5931
Epoch [42/100], Step[185/526], Loss: 0.5968
Epoch [42/100], Step[186/526], Loss: 0.6500
Epoch [42/100], Step[187/526], Loss: 0.7410
Epoch [42/100], Step[188/526], Loss: 0.6989
Epoch [42/100], Step[189/526], Loss: 0.6781
Epoch [42/100], Step[190/526], Loss: 0.6323
Epoch [42/100], Step[191/526], Loss: 0.7198
Epoch [42/100], Step[192/526], Loss: 0.8157
Epoch [42/100], Step[193/526], Loss: 0.6542
Epoch [42/100], Step[194/526], Loss: 0.6208
Epoch [42/100], Step[195/526], Loss: 0.6494
Epoch [42/100], Step[196/526], Loss: 0.7333
Epoch [42/100], Step[197/526], Loss: 0.6891
Epoch [42/100], Step[198/526], Loss: 0.6361
Epoch [42/100], Step[199/526], Loss: 0.7342
Epoch [42/100], Step[200/526], Loss: 0.6752
Epoch [42/100], Step[201/526], Loss: 0.6761
Epoch [42/100], Step[202/526], Loss: 0.7455
Epoch [42/100], Step[203/526], Loss: 0.7051
Epoch [42/100], Step[204/526], Loss: 0.7265
Epoch [42/100], Step[205/526], Loss: 0.7006
Epoch [42/100], Step[206/526], Loss: 0.6828
Epoch [42/100], Step[207/526], Loss: 0.7119
Epoch [42/100], Step[208/526], Loss: 0.6829
Epoch [42/100], Step[209/526], Loss: 0.6831
Epoch [42/100], Step[210/526], Loss: 0.7650
Epoch [42/100], Step[211/526], Loss: 0.6325
Epoch [42/100], Step[212/526], Loss: 0.6877
Epoch [42/100], Step[213/526], Loss: 0.7230
Epoch [42/100], Step[214/526], Loss: 0.7454
Epoch [42/100], Step[215/526], Loss: 0.6945
Epoch [42/100], Step[216/526], Loss: 0.6780
Epoch [42/100], Step[217/526], Loss: 0.6750
Epoch [42/100], Step[218/526], Loss: 0.6986
Epoch [42/100], Step[219/526], Loss: 0.6932
Epoch [42/100], Step[220/526], Loss: 0.7272
Epoch [42/100], Step[221/526], Loss: 0.6943
Epoch [42/100], Step[222/526], Loss: 0.7433
Epoch [42/100], Step[223/526], Loss: 0.6789
Epoch [42/100], Step[224/526], Loss: 0.6837
Epoch [42/100], Step[225/526], Loss: 0.7228
Epoch [42/100], Step[226/526], Loss: 0.6763
Epoch [42/100], Step[227/526], Loss: 0.6721
Epoch [42/100], Step[228/526], Loss: 0.6655
Epoch [42/100], Step[229/526], Loss: 0.6888
Epoch [42/100], Step[230/526], Loss: 0.6636
Epoch [42/100], Step[231/526], Loss: 0.6668
Epoch [42/100], Step[232/526], Loss: 0.7065
Epoch [42/100], Step[233/526], Loss: 0.6856
Epoch [42/100], Step[234/526], Loss: 0.6773
Epoch [42/100], Step[235/526], Loss: 0.7050
Epoch [42/100], Step[236/526], Loss: 0.6948
Epoch [42/100], Step[237/526], Loss: 0.7165
Epoch [42/100], Step[238/526], Loss: 0.6817
Epoch [42/100], Step[239/526], Loss: 0.6697
Epoch [42/100], Step[240/526], Loss: 0.7263
Epoch [42/100], Step[241/526], Loss: 0.6968
Epoch [42/100], Step[242/526], Loss: 0.7086
Epoch [42/100], Step[243/526], Loss: 0.6195
Epoch [42/100], Step[244/526], Loss: 0.6537
Epoch [42/100], Step[245/526], Loss: 0.6439
Epoch [42/100], Step[246/526], Loss: 0.6651
Epoch [42/100], Step[247/526], Loss: 0.6244
Epoch [42/100], Step[248/526], Loss: 0.6560
Epoch [42/100], Step[249/526], Loss: 0.6678
Epoch [42/100], Step[250/526], Loss: 0.6813
Epoch [42/100], Step[251/526], Loss: 0.7023
Epoch [42/100], Step[252/526], Loss: 0.6942
Epoch [42/100], Step[253/526], Loss: 0.6326
Epoch [42/100], Step[254/526], Loss: 0.6656
Epoch [42/100], Step[255/526], Loss: 0.6055
Epoch [42/100], Step[256/526], Loss: 0.6892
Epoch [42/100], Step[257/526], Loss: 0.6689
Epoch [42/100], Step[258/526], Loss: 0.6293
Epoch [42/100], Step[259/526], Loss: 0.6847
Epoch [42/100], Step[260/526], Loss: 0.7410
Epoch [42/100], Step[261/526], Loss: 0.7492
Epoch [42/100], Step[262/526], Loss: 0.6818
Epoch [42/100], Step[263/526], Loss: 0.6655
Epoch [42/100], Step[264/526], Loss: 0.6435
Epoch [42/100], Step[265/526], Loss: 0.6367
Epoch [42/100], Step[266/526], Loss: 0.6384
Epoch [42/100], Step[267/526], Loss: 0.5011
Epoch [42/100], Step[268/526], Loss: 0.5475
Epoch [42/100], Step[269/526], Loss: 0.4576
Epoch [42/100], Step[270/526], Loss: 0.3885
Epoch [42/100], Step[271/526], Loss: 0.5146
Epoch [42/100], Step[272/526], Loss: 0.5336
Epoch [42/100], Step[273/526], Loss: 0.6307
Epoch [42/100], Step[274/526], Loss: 0.4356
Epoch [42/100], Step[275/526], Loss: 0.4196
Epoch [42/100], Step[276/526], Loss: 0.4674
Epoch [42/100], Step[277/526], Loss: 0.4238
Epoch [42/100], Step[278/526], Loss: 0.4555
Epoch [42/100], Step[279/526], Loss: 0.4058
Epoch [42/100], Step[280/526], Loss: 0.4469
Epoch [42/100], Step[281/526], Loss: 0.6252
Epoch [42/100], Step[282/526], Loss: 0.3582
Epoch [42/100], Step[283/526], Loss: 0.3643
Epoch [42/100], Step[284/526], Loss: 0.3970
Epoch [42/100], Step[285/526], Loss: 0.2759
Epoch [42/100], Step[286/526], Loss: 0.6997
Epoch [42/100], Step[287/526], Loss: 0.4796
Epoch [42/100], Step[288/526], Loss: 0.4339
Epoch [42/100], Step[289/526], Loss: 0.6168
Epoch [42/100], Step[290/526], Loss: 0.4231
Epoch [42/100], Step[291/526], Loss: 0.4822
Epoch [42/100], Step[292/526], Loss: 0.2529
Epoch [42/100], Step[293/526], Loss: 0.3075
Epoch [42/100], Step[294/526], Loss: 0.3192
Epoch [42/100], Step[295/526], Loss: 0.4192
Epoch [42/100], Step[296/526], Loss: 0.6268
Epoch [42/100], Step[297/526], Loss: 0.2894
Epoch [42/100], Step[298/526], Loss: 0.2853
Epoch [42/100], Step[299/526], Loss: 0.2374
Epoch [42/100], Step[300/526], Loss: 0.2957
Epoch [42/100], Step[301/526], Loss: 0.6142
Epoch [42/100], Step[302/526], Loss: 0.3188
Epoch [42/100], Step[303/526], Loss: 0.4729
Epoch [42/100], Step[304/526], Loss: 0.2564
Epoch [42/100], Step[305/526], Loss: 0.2600
Epoch [42/100], Step[306/526], Loss: 0.5799
Epoch [42/100], Step[307/526], Loss: 0.8853
Epoch [42/100], Step[308/526], Loss: 1.3163
Epoch [42/100], Step[309/526], Loss: 0.8380
Epoch [42/100], Step[310/526], Loss: 0.9643
Epoch [42/100], Step[311/526], Loss: 0.8201
Epoch [42/100], Step[312/526], Loss: 0.4928
Epoch [42/100], Step[313/526], Loss: 0.4819
Epoch [42/100], Step[314/526], Loss: 0.6539
Epoch [42/100], Step[315/526], Loss: 0.7000
Epoch [42/100], Step[316/526], Loss: 0.4910
Epoch [42/100], Step[317/526], Loss: 0.3246
Epoch [42/100], Step[318/526], Loss: 0.7659
Epoch [42/100], Step[319/526], Loss: 0.3541
Epoch [42/100], Step[320/526], Loss: 0.6120
Epoch [42/100], Step[321/526], Loss: 0.7092
Epoch [42/100], Step[322/526], Loss: 0.2670
Epoch [42/100], Step[323/526], Loss: 0.6142
Epoch [42/100], Step[324/526], Loss: 0.6556
Epoch [42/100], Step[325/526], Loss: 0.5770
Epoch [42/100], Step[326/526], Loss: 0.7661
Epoch [42/100], Step[327/526], Loss: 0.7309
Epoch [42/100], Step[328/526], Loss: 0.9304
Epoch [42/100], Step[329/526], Loss: 1.2760
Epoch [42/100], Step[330/526], Loss: 1.0405
Epoch [42/100], Step[331/526], Loss: 0.7919
Epoch [42/100], Step[332/526], Loss: 0.8372
Epoch [42/100], Step[333/526], Loss: 0.7804
Epoch [42/100], Step[334/526], Loss: 0.7780
Epoch [42/100], Step[335/526], Loss: 0.7973
Epoch [42/100], Step[336/526], Loss: 0.6960
Epoch [42/100], Step[337/526], Loss: 0.5938
Epoch [42/100], Step[338/526], Loss: 0.7075
Epoch [42/100], Step[339/526], Loss: 0.6440
Epoch [42/100], Step[340/526], Loss: 0.7251
Epoch [42/100], Step[341/526], Loss: 0.7767
Epoch [42/100], Step[342/526], Loss: 0.7887
Epoch [42/100], Step[343/526], Loss: 0.5414
Epoch [42/100], Step[344/526], Loss: 0.7343
Epoch [42/100], Step[345/526], Loss: 0.6505
Epoch [42/100], Step[346/526], Loss: 0.6975
Epoch [42/100], Step[347/526], Loss: 0.7083
Epoch [42/100], Step[348/526], Loss: 0.6349
Epoch [42/100], Step[349/526], Loss: 0.5756
Epoch [42/100], Step[350/526], Loss: 0.6737
Epoch [42/100], Step[351/526], Loss: 0.7180
Epoch [42/100], Step[352/526], Loss: 0.6145
Epoch [42/100], Step[353/526], Loss: 0.6884
Epoch [42/100], Step[354/526], Loss: 0.6711
Epoch [42/100], Step[355/526], Loss: 0.6736
Epoch [42/100], Step[356/526], Loss: 0.7038
Epoch [42/100], Step[357/526], Loss: 0.6585
Epoch [42/100], Step[358/526], Loss: 0.6982
Epoch [42/100], Step[359/526], Loss: 0.6512
Epoch [42/100], Step[360/526], Loss: 0.6758
Epoch [42/100], Step[361/526], Loss: 0.7319
Epoch [42/100], Step[362/526], Loss: 0.7052
Epoch [42/100], Step[363/526], Loss: 0.6927
Epoch [42/100], Step[364/526], Loss: 0.7123
Epoch [42/100], Step[365/526], Loss: 0.7163
Epoch [42/100], Step[366/526], Loss: 0.6873
Epoch [42/100], Step[367/526], Loss: 0.6899
Epoch [42/100], Step[368/526], Loss: 0.6494
Epoch [42/100], Step[369/526], Loss: 0.6584
Epoch [42/100], Step[370/526], Loss: 0.6293
Epoch [42/100], Step[371/526], Loss: 0.7343
Epoch [42/100], Step[372/526], Loss: 0.6427
Epoch [42/100], Step[373/526], Loss: 0.6760
Epoch [42/100], Step[374/526], Loss: 0.7009
Epoch [42/100], Step[375/526], Loss: 0.6488
Epoch [42/100], Step[376/526], Loss: 0.6507
Epoch [42/100], Step[377/526], Loss: 0.6865
Epoch [42/100], Step[378/526], Loss: 0.6908
Epoch [42/100], Step[379/526], Loss: 0.7452
Epoch [42/100], Step[380/526], Loss: 0.6119
Epoch [42/100], Step[381/526], Loss: 0.5942
Epoch [42/100], Step[382/526], Loss: 0.6711
Epoch [42/100], Step[383/526], Loss: 0.6941
Epoch [42/100], Step[384/526], Loss: 0.6331
Epoch [42/100], Step[385/526], Loss: 0.6261
Epoch [42/100], Step[386/526], Loss: 0.6625
Epoch [42/100], Step[387/526], Loss: 0.6491
Epoch [42/100], Step[388/526], Loss: 0.5946
Epoch [42/100], Step[389/526], Loss: 0.7188
Epoch [42/100], Step[390/526], Loss: 0.5723
Epoch [42/100], Step[391/526], Loss: 0.6512
Epoch [42/100], Step[392/526], Loss: 0.6986
Epoch [42/100], Step[393/526], Loss: 0.5854
Epoch [42/100], Step[394/526], Loss: 0.5117
Epoch [42/100], Step[395/526], Loss: 0.6148
Epoch [42/100], Step[396/526], Loss: 0.6297
Epoch [42/100], Step[397/526], Loss: 0.4680
Epoch [42/100], Step[398/526], Loss: 0.6003
Epoch [42/100], Step[399/526], Loss: 0.6517
Epoch [42/100], Step[400/526], Loss: 0.4696
Epoch [42/100], Step[401/526], Loss: 0.5965
Epoch [42/100], Step[402/526], Loss: 0.6340
Epoch [42/100], Step[403/526], Loss: 0.7599
Epoch [42/100], Step[404/526], Loss: 0.4807
Epoch [42/100], Step[405/526], Loss: 0.5007
Epoch [42/100], Step[406/526], Loss: 0.6332
Epoch [42/100], Step[407/526], Loss: 0.7552
Epoch [42/100], Step[408/526], Loss: 0.6519
Epoch [42/100], Step[409/526], Loss: 0.4621
Epoch [42/100], Step[410/526], Loss: 0.4892
Epoch [42/100], Step[411/526], Loss: 0.5344
Epoch [42/100], Step[412/526], Loss: 0.5903
Epoch [42/100], Step[413/526], Loss: 0.5934
Epoch [42/100], Step[414/526], Loss: 0.6373
Epoch [42/100], Step[415/526], Loss: 0.6148
Epoch [42/100], Step[416/526], Loss: 0.5428
Epoch [42/100], Step[417/526], Loss: 0.4436
Epoch [42/100], Step[418/526], Loss: 0.7566
Epoch [42/100], Step[419/526], Loss: 0.6841
Epoch [42/100], Step[420/526], Loss: 0.6864
Epoch [42/100], Step[421/526], Loss: 0.6366
Epoch [42/100], Step[422/526], Loss: 0.7815
Epoch [42/100], Step[423/526], Loss: 0.7019
Epoch [42/100], Step[424/526], Loss: 0.7428
Epoch [42/100], Step[425/526], Loss: 0.7065
Epoch [42/100], Step[426/526], Loss: 0.7632
Epoch [42/100], Step[427/526], Loss: 0.7069
Epoch [42/100], Step[428/526], Loss: 0.7147
Epoch [42/100], Step[429/526], Loss: 0.7322
Epoch [42/100], Step[430/526], Loss: 0.7831
Epoch [42/100], Step[431/526], Loss: 0.7068
Epoch [42/100], Step[432/526], Loss: 0.7286
Epoch [42/100], Step[433/526], Loss: 0.6772
Epoch [42/100], Step[434/526], Loss: 0.6141
Epoch [42/100], Step[435/526], Loss: 0.7808
Epoch [42/100], Step[436/526], Loss: 0.8063
Epoch [42/100], Step[437/526], Loss: 0.4962
Epoch [42/100], Step[438/526], Loss: 0.3654
Epoch [42/100], Step[439/526], Loss: 0.7239
Epoch [42/100], Step[440/526], Loss: 0.6935
Epoch [42/100], Step[441/526], Loss: 0.6817
Epoch [42/100], Step[442/526], Loss: 0.6427
Epoch [42/100], Step[443/526], Loss: 0.6688
Epoch [42/100], Step[444/526], Loss: 0.7525
Epoch [42/100], Step[445/526], Loss: 0.6995
Epoch [42/100], Step[446/526], Loss: 0.7157
Epoch [42/100], Step[447/526], Loss: 0.7138
Epoch [42/100], Step[448/526], Loss: 0.7267
Epoch [42/100], Step[449/526], Loss: 0.6726
Epoch [42/100], Step[450/526], Loss: 0.5996
Epoch [42/100], Step[451/526], Loss: 0.6616
Epoch [42/100], Step[452/526], Loss: 0.7251
Epoch [42/100], Step[453/526], Loss: 0.7084
Epoch [42/100], Step[454/526], Loss: 0.8228
Epoch [42/100], Step[455/526], Loss: 0.6568
Epoch [42/100], Step[456/526], Loss: 0.6471
Epoch [42/100], Step[457/526], Loss: 0.7275
Epoch [42/100], Step[458/526], Loss: 0.6794
Epoch [42/100], Step[459/526], Loss: 0.6561
Epoch [42/100], Step[460/526], Loss: 0.6394
Epoch [42/100], Step[461/526], Loss: 0.6132
Epoch [42/100], Step[462/526], Loss: 0.6757
Epoch [42/100], Step[463/526], Loss: 0.6512
Epoch [42/100], Step[464/526], Loss: 0.6517
Epoch [42/100], Step[465/526], Loss: 0.6583
Epoch [42/100], Step[466/526], Loss: 0.6595
Epoch [42/100], Step[467/526], Loss: 0.6503
Epoch [42/100], Step[468/526], Loss: 0.6197
Epoch [42/100], Step[469/526], Loss: 0.8042
Epoch [42/100], Step[470/526], Loss: 0.6583
Epoch [42/100], Step[471/526], Loss: 0.6942
Epoch [42/100], Step[472/526], Loss: 0.6714
Epoch [42/100], Step[473/526], Loss: 0.6792
Epoch [42/100], Step[474/526], Loss: 0.6774
Epoch [42/100], Step[475/526], Loss: 0.8338
Epoch [42/100], Step[476/526], Loss: 0.7476
Epoch [42/100], Step[477/526], Loss: 0.6984
Epoch [42/100], Step[478/526], Loss: 0.6859
Epoch [42/100], Step[479/526], Loss: 0.6615
Epoch [42/100], Step[480/526], Loss: 0.7403
Epoch [42/100], Step[481/526], Loss: 0.7244
Epoch [42/100], Step[482/526], Loss: 0.6184
Epoch [42/100], Step[483/526], Loss: 0.5423
Epoch [42/100], Step[484/526], Loss: 0.6927
Epoch [42/100], Step[485/526], Loss: 0.7722
Epoch [42/100], Step[486/526], Loss: 0.7248
Epoch [42/100], Step[487/526], Loss: 0.7387
Epoch [42/100], Step[488/526], Loss: 0.6941
Epoch [42/100], Step[489/526], Loss: 0.6386
Epoch [42/100], Step[490/526], Loss: 0.6114
Epoch [42/100], Step[491/526], Loss: 0.6992
Epoch [42/100], Step[492/526], Loss: 0.6445
Epoch [42/100], Step[493/526], Loss: 0.6436
Epoch [42/100], Step[494/526], Loss: 0.6641
Epoch [42/100], Step[495/526], Loss: 0.6895
Epoch [42/100], Step[496/526], Loss: 0.6633
Epoch [42/100], Step[497/526], Loss: 0.6373
Epoch [42/100], Step[498/526], Loss: 0.6761
Epoch [42/100], Step[499/526], Loss: 0.6715
Epoch [42/100], Step[500/526], Loss: 0.6906
Epoch [42/100], Step[501/526], Loss: 0.6578
Epoch [42/100], Step[502/526], Loss: 0.6981
Epoch [42/100], Step[503/526], Loss: 0.7116
Epoch [42/100], Step[504/526], Loss: 0.6995
Epoch [42/100], Step[505/526], Loss: 0.7094
Epoch [42/100], Step[506/526], Loss: 0.6821
Epoch [42/100], Step[507/526], Loss: 0.6729
Epoch [42/100], Step[508/526], Loss: 0.7036
Epoch [42/100], Step[509/526], Loss: 0.6551
Epoch [42/100], Step[510/526], Loss: 0.7036
Epoch [42/100], Step[511/526], Loss: 0.6432
Epoch [42/100], Step[512/526], Loss: 0.6733
Epoch [42/100], Step[513/526], Loss: 0.6458
Epoch [42/100], Step[514/526], Loss: 0.6544
Epoch [42/100], Step[515/526], Loss: 0.5777
Epoch [42/100], Step[516/526], Loss: 0.7522
Epoch [42/100], Step[517/526], Loss: 0.6882
Epoch [42/100], Step[518/526], Loss: 0.7337
Epoch [42/100], Step[519/526], Loss: 0.7135
Epoch [42/100], Step[520/526], Loss: 0.6928
Epoch [42/100], Step[521/526], Loss: 0.6689
Epoch [42/100], Step[522/526], Loss: 0.6076
Epoch [42/100], Step[523/526], Loss: 0.6517
Epoch [42/100], Step[524/526], Loss: 0.6528
Epoch [42/100], Step[525/526], Loss: 0.7457
Epoch [42/100], Step[526/526], Loss: 0.7040
Epoch [43/100], Step[1/526], Loss: 0.6578
Epoch [43/100], Step[2/526], Loss: 0.6421
Epoch [43/100], Step[3/526], Loss: 0.6890
Epoch [43/100], Step[4/526], Loss: 0.6322
Epoch [43/100], Step[5/526], Loss: 0.7373
Epoch [43/100], Step[6/526], Loss: 0.7472
Epoch [43/100], Step[7/526], Loss: 0.6968
Epoch [43/100], Step[8/526], Loss: 0.6820
Epoch [43/100], Step[9/526], Loss: 0.7103
Epoch [43/100], Step[10/526], Loss: 0.6760
Epoch [43/100], Step[11/526], Loss: 0.6673
Epoch [43/100], Step[12/526], Loss: 0.7191
Epoch [43/100], Step[13/526], Loss: 0.6330
Epoch [43/100], Step[14/526], Loss: 0.6622
Epoch [43/100], Step[15/526], Loss: 0.6870
Epoch [43/100], Step[16/526], Loss: 0.7052
Epoch [43/100], Step[17/526], Loss: 0.7085
Epoch [43/100], Step[18/526], Loss: 0.6846
Epoch [43/100], Step[19/526], Loss: 0.6843
Epoch [43/100], Step[20/526], Loss: 0.7100
Epoch [43/100], Step[21/526], Loss: 0.7522
Epoch [43/100], Step[22/526], Loss: 0.7267
Epoch [43/100], Step[23/526], Loss: 0.7376
Epoch [43/100], Step[24/526], Loss: 0.7149
Epoch [43/100], Step[25/526], Loss: 0.6915
Epoch [43/100], Step[26/526], Loss: 0.6380
Epoch [43/100], Step[27/526], Loss: 0.6843
Epoch [43/100], Step[28/526], Loss: 0.6877
Epoch [43/100], Step[29/526], Loss: 0.6551
Epoch [43/100], Step[30/526], Loss: 0.6916
Epoch [43/100], Step[31/526], Loss: 0.7040
Epoch [43/100], Step[32/526], Loss: 0.6678
Epoch [43/100], Step[33/526], Loss: 0.7045
Epoch [43/100], Step[34/526], Loss: 0.6942
Epoch [43/100], Step[35/526], Loss: 0.7106
Epoch [43/100], Step[36/526], Loss: 0.6993
Epoch [43/100], Step[37/526], Loss: 0.6928
Epoch [43/100], Step[38/526], Loss: 0.7108
Epoch [43/100], Step[39/526], Loss: 0.6934
Epoch [43/100], Step[40/526], Loss: 0.7132
Epoch [43/100], Step[41/526], Loss: 0.6597
Epoch [43/100], Step[42/526], Loss: 0.7279
Epoch [43/100], Step[43/526], Loss: 0.7188
Epoch [43/100], Step[44/526], Loss: 0.6857
Epoch [43/100], Step[45/526], Loss: 0.6903
Epoch [43/100], Step[46/526], Loss: 0.6864
Epoch [43/100], Step[47/526], Loss: 0.7058
Epoch [43/100], Step[48/526], Loss: 0.7257
Epoch [43/100], Step[49/526], Loss: 0.7107
Epoch [43/100], Step[50/526], Loss: 0.7034
Epoch [43/100], Step[51/526], Loss: 0.6948
Epoch [43/100], Step[52/526], Loss: 0.6764
Epoch [43/100], Step[53/526], Loss: 0.7148
Epoch [43/100], Step[54/526], Loss: 0.7091
Epoch [43/100], Step[55/526], Loss: 0.7015
Epoch [43/100], Step[56/526], Loss: 0.6984
Epoch [43/100], Step[57/526], Loss: 0.6832
Epoch [43/100], Step[58/526], Loss: 0.6773
Epoch [43/100], Step[59/526], Loss: 0.6571
Epoch [43/100], Step[60/526], Loss: 0.6685
Epoch [43/100], Step[61/526], Loss: 0.6547
Epoch [43/100], Step[62/526], Loss: 0.6986
Epoch [43/100], Step[63/526], Loss: 0.6872
Epoch [43/100], Step[64/526], Loss: 0.6807
Epoch [43/100], Step[65/526], Loss: 0.7235
Epoch [43/100], Step[66/526], Loss: 0.6836
Epoch [43/100], Step[67/526], Loss: 0.6555
Epoch [43/100], Step[68/526], Loss: 0.6503
Epoch [43/100], Step[69/526], Loss: 0.6959
Epoch [43/100], Step[70/526], Loss: 0.6837
Epoch [43/100], Step[71/526], Loss: 0.6675
Epoch [43/100], Step[72/526], Loss: 0.6832
Epoch [43/100], Step[73/526], Loss: 0.7127
Epoch [43/100], Step[74/526], Loss: 0.6600
Epoch [43/100], Step[75/526], Loss: 0.7043
Epoch [43/100], Step[76/526], Loss: 0.6887
Epoch [43/100], Step[77/526], Loss: 0.6993
Epoch [43/100], Step[78/526], Loss: 0.7088
Epoch [43/100], Step[79/526], Loss: 0.6916
Epoch [43/100], Step[80/526], Loss: 0.6912
Epoch [43/100], Step[81/526], Loss: 0.7029
Epoch [43/100], Step[82/526], Loss: 0.7271
Epoch [43/100], Step[83/526], Loss: 0.7043
Epoch [43/100], Step[84/526], Loss: 0.6969
Epoch [43/100], Step[85/526], Loss: 0.6616
Epoch [43/100], Step[86/526], Loss: 0.7013
Epoch [43/100], Step[87/526], Loss: 0.6834
Epoch [43/100], Step[88/526], Loss: 0.6875
Epoch [43/100], Step[89/526], Loss: 0.7217
Epoch [43/100], Step[90/526], Loss: 0.6855
Epoch [43/100], Step[91/526], Loss: 0.6849
Epoch [43/100], Step[92/526], Loss: 0.6803
Epoch [43/100], Step[93/526], Loss: 0.6869
Epoch [43/100], Step[94/526], Loss: 0.8034
Epoch [43/100], Step[95/526], Loss: 0.7169
Epoch [43/100], Step[96/526], Loss: 0.6256
Epoch [43/100], Step[97/526], Loss: 0.5936
Epoch [43/100], Step[98/526], Loss: 0.6885
Epoch [43/100], Step[99/526], Loss: 0.6856
Epoch [43/100], Step[100/526], Loss: 0.6679
Epoch [43/100], Step[101/526], Loss: 0.6579
Epoch [43/100], Step[102/526], Loss: 0.6325
Epoch [43/100], Step[103/526], Loss: 0.7037
Epoch [43/100], Step[104/526], Loss: 0.6504
Epoch [43/100], Step[105/526], Loss: 0.6360
Epoch [43/100], Step[106/526], Loss: 0.6893
Epoch [43/100], Step[107/526], Loss: 0.6355
Epoch [43/100], Step[108/526], Loss: 0.5775
Epoch [43/100], Step[109/526], Loss: 0.6790
Epoch [43/100], Step[110/526], Loss: 0.6827
Epoch [43/100], Step[111/526], Loss: 0.5923
Epoch [43/100], Step[112/526], Loss: 0.7286
Epoch [43/100], Step[113/526], Loss: 0.6062
Epoch [43/100], Step[114/526], Loss: 0.6556
Epoch [43/100], Step[115/526], Loss: 0.6000
Epoch [43/100], Step[116/526], Loss: 0.6264
Epoch [43/100], Step[117/526], Loss: 0.6621
Epoch [43/100], Step[118/526], Loss: 0.7564
Epoch [43/100], Step[119/526], Loss: 0.6764
Epoch [43/100], Step[120/526], Loss: 0.6787
Epoch [43/100], Step[121/526], Loss: 0.6913
Epoch [43/100], Step[122/526], Loss: 0.6264
Epoch [43/100], Step[123/526], Loss: 0.6499
Epoch [43/100], Step[124/526], Loss: 0.6687
Epoch [43/100], Step[125/526], Loss: 0.6344
Epoch [43/100], Step[126/526], Loss: 0.7201
Epoch [43/100], Step[127/526], Loss: 0.6736
Epoch [43/100], Step[128/526], Loss: 0.6431
Epoch [43/100], Step[129/526], Loss: 0.5997
Epoch [43/100], Step[130/526], Loss: 0.6128
Epoch [43/100], Step[131/526], Loss: 0.6668
Epoch [43/100], Step[132/526], Loss: 0.7249
Epoch [43/100], Step[133/526], Loss: 0.6736
Epoch [43/100], Step[134/526], Loss: 0.6360
Epoch [43/100], Step[135/526], Loss: 0.6446
Epoch [43/100], Step[136/526], Loss: 0.5667
Epoch [43/100], Step[137/526], Loss: 0.6414
Epoch [43/100], Step[138/526], Loss: 0.6429
Epoch [43/100], Step[139/526], Loss: 0.7054
Epoch [43/100], Step[140/526], Loss: 0.5902
Epoch [43/100], Step[141/526], Loss: 0.6742
Epoch [43/100], Step[142/526], Loss: 0.6636
Epoch [43/100], Step[143/526], Loss: 0.7003
Epoch [43/100], Step[144/526], Loss: 0.7752
Epoch [43/100], Step[145/526], Loss: 0.5522
Epoch [43/100], Step[146/526], Loss: 0.5100
Epoch [43/100], Step[147/526], Loss: 0.4481
Epoch [43/100], Step[148/526], Loss: 0.5991
Epoch [43/100], Step[149/526], Loss: 0.4966
Epoch [43/100], Step[150/526], Loss: 0.5948
Epoch [43/100], Step[151/526], Loss: 0.5548
Epoch [43/100], Step[152/526], Loss: 0.6213
Epoch [43/100], Step[153/526], Loss: 0.6335
Epoch [43/100], Step[154/526], Loss: 0.7213
Epoch [43/100], Step[155/526], Loss: 0.7258
Epoch [43/100], Step[156/526], Loss: 0.5306
Epoch [43/100], Step[157/526], Loss: 0.2684
Epoch [43/100], Step[158/526], Loss: 0.5939
Epoch [43/100], Step[159/526], Loss: 0.6671
Epoch [43/100], Step[160/526], Loss: 0.5493
Epoch [43/100], Step[161/526], Loss: 0.9593
Epoch [43/100], Step[162/526], Loss: 0.6947
Epoch [43/100], Step[163/526], Loss: 0.7185
Epoch [43/100], Step[164/526], Loss: 0.6205
Epoch [43/100], Step[165/526], Loss: 0.7034
Epoch [43/100], Step[166/526], Loss: 0.4992
Epoch [43/100], Step[167/526], Loss: 0.5527
Epoch [43/100], Step[168/526], Loss: 0.6919
Epoch [43/100], Step[169/526], Loss: 0.7562
Epoch [43/100], Step[170/526], Loss: 0.7021
Epoch [43/100], Step[171/526], Loss: 0.7311
Epoch [43/100], Step[172/526], Loss: 0.7092
Epoch [43/100], Step[173/526], Loss: 0.8223
Epoch [43/100], Step[174/526], Loss: 0.6245
Epoch [43/100], Step[175/526], Loss: 0.6619
Epoch [43/100], Step[176/526], Loss: 0.6197
Epoch [43/100], Step[177/526], Loss: 0.6601
Epoch [43/100], Step[178/526], Loss: 0.6871
Epoch [43/100], Step[179/526], Loss: 0.6282
Epoch [43/100], Step[180/526], Loss: 0.6767
Epoch [43/100], Step[181/526], Loss: 0.6417
Epoch [43/100], Step[182/526], Loss: 0.6761
Epoch [43/100], Step[183/526], Loss: 0.5307
Epoch [43/100], Step[184/526], Loss: 0.5960
Epoch [43/100], Step[185/526], Loss: 0.6001
Epoch [43/100], Step[186/526], Loss: 0.6519
Epoch [43/100], Step[187/526], Loss: 0.7369
Epoch [43/100], Step[188/526], Loss: 0.6962
Epoch [43/100], Step[189/526], Loss: 0.6771
Epoch [43/100], Step[190/526], Loss: 0.6345
Epoch [43/100], Step[191/526], Loss: 0.7159
Epoch [43/100], Step[192/526], Loss: 0.8114
Epoch [43/100], Step[193/526], Loss: 0.6549
Epoch [43/100], Step[194/526], Loss: 0.6201
Epoch [43/100], Step[195/526], Loss: 0.6487
Epoch [43/100], Step[196/526], Loss: 0.7307
Epoch [43/100], Step[197/526], Loss: 0.6889
Epoch [43/100], Step[198/526], Loss: 0.6363
Epoch [43/100], Step[199/526], Loss: 0.7351
Epoch [43/100], Step[200/526], Loss: 0.6765
Epoch [43/100], Step[201/526], Loss: 0.6748
Epoch [43/100], Step[202/526], Loss: 0.7423
Epoch [43/100], Step[203/526], Loss: 0.7063
Epoch [43/100], Step[204/526], Loss: 0.7269
Epoch [43/100], Step[205/526], Loss: 0.6998
Epoch [43/100], Step[206/526], Loss: 0.6828
Epoch [43/100], Step[207/526], Loss: 0.7093
Epoch [43/100], Step[208/526], Loss: 0.6829
Epoch [43/100], Step[209/526], Loss: 0.6818
Epoch [43/100], Step[210/526], Loss: 0.7685
Epoch [43/100], Step[211/526], Loss: 0.6336
Epoch [43/100], Step[212/526], Loss: 0.6872
Epoch [43/100], Step[213/526], Loss: 0.7230
Epoch [43/100], Step[214/526], Loss: 0.7460
Epoch [43/100], Step[215/526], Loss: 0.6926
Epoch [43/100], Step[216/526], Loss: 0.6781
Epoch [43/100], Step[217/526], Loss: 0.6740
Epoch [43/100], Step[218/526], Loss: 0.6987
Epoch [43/100], Step[219/526], Loss: 0.6931
Epoch [43/100], Step[220/526], Loss: 0.7271
Epoch [43/100], Step[221/526], Loss: 0.6936
Epoch [43/100], Step[222/526], Loss: 0.7426
Epoch [43/100], Step[223/526], Loss: 0.6793
Epoch [43/100], Step[224/526], Loss: 0.6838
Epoch [43/100], Step[225/526], Loss: 0.7218
Epoch [43/100], Step[226/526], Loss: 0.6761
Epoch [43/100], Step[227/526], Loss: 0.6711
Epoch [43/100], Step[228/526], Loss: 0.6642
Epoch [43/100], Step[229/526], Loss: 0.6883
Epoch [43/100], Step[230/526], Loss: 0.6630
Epoch [43/100], Step[231/526], Loss: 0.6677
Epoch [43/100], Step[232/526], Loss: 0.7088
Epoch [43/100], Step[233/526], Loss: 0.6841
Epoch [43/100], Step[234/526], Loss: 0.6786
Epoch [43/100], Step[235/526], Loss: 0.7037
Epoch [43/100], Step[236/526], Loss: 0.6943
Epoch [43/100], Step[237/526], Loss: 0.7167
Epoch [43/100], Step[238/526], Loss: 0.6834
Epoch [43/100], Step[239/526], Loss: 0.6707
Epoch [43/100], Step[240/526], Loss: 0.7270
Epoch [43/100], Step[241/526], Loss: 0.6978
Epoch [43/100], Step[242/526], Loss: 0.7094
Epoch [43/100], Step[243/526], Loss: 0.6018
Epoch [43/100], Step[244/526], Loss: 0.6533
Epoch [43/100], Step[245/526], Loss: 0.6434
Epoch [43/100], Step[246/526], Loss: 0.6647
Epoch [43/100], Step[247/526], Loss: 0.6242
Epoch [43/100], Step[248/526], Loss: 0.6561
Epoch [43/100], Step[249/526], Loss: 0.6672
Epoch [43/100], Step[250/526], Loss: 0.6815
Epoch [43/100], Step[251/526], Loss: 0.7028
Epoch [43/100], Step[252/526], Loss: 0.6943
Epoch [43/100], Step[253/526], Loss: 0.6326
Epoch [43/100], Step[254/526], Loss: 0.6661
Epoch [43/100], Step[255/526], Loss: 0.6048
Epoch [43/100], Step[256/526], Loss: 0.6905
Epoch [43/100], Step[257/526], Loss: 0.6658
Epoch [43/100], Step[258/526], Loss: 0.6284
Epoch [43/100], Step[259/526], Loss: 0.6854
Epoch [43/100], Step[260/526], Loss: 0.7421
Epoch [43/100], Step[261/526], Loss: 0.7514
Epoch [43/100], Step[262/526], Loss: 0.6816
Epoch [43/100], Step[263/526], Loss: 0.6643
Epoch [43/100], Step[264/526], Loss: 0.6397
Epoch [43/100], Step[265/526], Loss: 0.6343
Epoch [43/100], Step[266/526], Loss: 0.6383
Epoch [43/100], Step[267/526], Loss: 0.5020
Epoch [43/100], Step[268/526], Loss: 0.5454
Epoch [43/100], Step[269/526], Loss: 0.4571
Epoch [43/100], Step[270/526], Loss: 0.3886
Epoch [43/100], Step[271/526], Loss: 0.5146
Epoch [43/100], Step[272/526], Loss: 0.5343
Epoch [43/100], Step[273/526], Loss: 0.6307
Epoch [43/100], Step[274/526], Loss: 0.4360
Epoch [43/100], Step[275/526], Loss: 0.4195
Epoch [43/100], Step[276/526], Loss: 0.4674
Epoch [43/100], Step[277/526], Loss: 0.4278
Epoch [43/100], Step[278/526], Loss: 0.4591
Epoch [43/100], Step[279/526], Loss: 0.4091
Epoch [43/100], Step[280/526], Loss: 0.4480
Epoch [43/100], Step[281/526], Loss: 0.6237
Epoch [43/100], Step[282/526], Loss: 0.3583
Epoch [43/100], Step[283/526], Loss: 0.3652
Epoch [43/100], Step[284/526], Loss: 0.3997
Epoch [43/100], Step[285/526], Loss: 0.2848
Epoch [43/100], Step[286/526], Loss: 0.6977
Epoch [43/100], Step[287/526], Loss: 0.4799
Epoch [43/100], Step[288/526], Loss: 0.4341
Epoch [43/100], Step[289/526], Loss: 0.6157
Epoch [43/100], Step[290/526], Loss: 0.4234
Epoch [43/100], Step[291/526], Loss: 0.4819
Epoch [43/100], Step[292/526], Loss: 0.2566
Epoch [43/100], Step[293/526], Loss: 0.3079
Epoch [43/100], Step[294/526], Loss: 0.3220
Epoch [43/100], Step[295/526], Loss: 0.4227
Epoch [43/100], Step[296/526], Loss: 0.6148
Epoch [43/100], Step[297/526], Loss: 0.2933
Epoch [43/100], Step[298/526], Loss: 0.2875
Epoch [43/100], Step[299/526], Loss: 0.2378
Epoch [43/100], Step[300/526], Loss: 0.2936
Epoch [43/100], Step[301/526], Loss: 0.6158
Epoch [43/100], Step[302/526], Loss: 0.3211
Epoch [43/100], Step[303/526], Loss: 0.4740
Epoch [43/100], Step[304/526], Loss: 0.2564
Epoch [43/100], Step[305/526], Loss: 0.2610
Epoch [43/100], Step[306/526], Loss: 0.5804
Epoch [43/100], Step[307/526], Loss: 0.8896
Epoch [43/100], Step[308/526], Loss: 1.3134
Epoch [43/100], Step[309/526], Loss: 0.8202
Epoch [43/100], Step[310/526], Loss: 0.9616
Epoch [43/100], Step[311/526], Loss: 0.8256
Epoch [43/100], Step[312/526], Loss: 0.4914
Epoch [43/100], Step[313/526], Loss: 0.4839
Epoch [43/100], Step[314/526], Loss: 0.6525
Epoch [43/100], Step[315/526], Loss: 0.7013
Epoch [43/100], Step[316/526], Loss: 0.4903
Epoch [43/100], Step[317/526], Loss: 0.3231
Epoch [43/100], Step[318/526], Loss: 0.7686
Epoch [43/100], Step[319/526], Loss: 0.3538
Epoch [43/100], Step[320/526], Loss: 0.6067
Epoch [43/100], Step[321/526], Loss: 0.7090
Epoch [43/100], Step[322/526], Loss: 0.2656
Epoch [43/100], Step[323/526], Loss: 0.6148
Epoch [43/100], Step[324/526], Loss: 0.6564
Epoch [43/100], Step[325/526], Loss: 0.5779
Epoch [43/100], Step[326/526], Loss: 0.7642
Epoch [43/100], Step[327/526], Loss: 0.7308
Epoch [43/100], Step[328/526], Loss: 0.9267
Epoch [43/100], Step[329/526], Loss: 1.2655
Epoch [43/100], Step[330/526], Loss: 1.0352
Epoch [43/100], Step[331/526], Loss: 0.7922
Epoch [43/100], Step[332/526], Loss: 0.8356
Epoch [43/100], Step[333/526], Loss: 0.7796
Epoch [43/100], Step[334/526], Loss: 0.7748
Epoch [43/100], Step[335/526], Loss: 0.7850
Epoch [43/100], Step[336/526], Loss: 0.7007
Epoch [43/100], Step[337/526], Loss: 0.5940
Epoch [43/100], Step[338/526], Loss: 0.7085
Epoch [43/100], Step[339/526], Loss: 0.6393
Epoch [43/100], Step[340/526], Loss: 0.7258
Epoch [43/100], Step[341/526], Loss: 0.7769
Epoch [43/100], Step[342/526], Loss: 0.7887
Epoch [43/100], Step[343/526], Loss: 0.5409
Epoch [43/100], Step[344/526], Loss: 0.7342
Epoch [43/100], Step[345/526], Loss: 0.6502
Epoch [43/100], Step[346/526], Loss: 0.6803
Epoch [43/100], Step[347/526], Loss: 0.7093
Epoch [43/100], Step[348/526], Loss: 0.6338
Epoch [43/100], Step[349/526], Loss: 0.5737
Epoch [43/100], Step[350/526], Loss: 0.6736
Epoch [43/100], Step[351/526], Loss: 0.7176
Epoch [43/100], Step[352/526], Loss: 0.6049
Epoch [43/100], Step[353/526], Loss: 0.6882
Epoch [43/100], Step[354/526], Loss: 0.6706
Epoch [43/100], Step[355/526], Loss: 0.6736
Epoch [43/100], Step[356/526], Loss: 0.7050
Epoch [43/100], Step[357/526], Loss: 0.6588
Epoch [43/100], Step[358/526], Loss: 0.6965
Epoch [43/100], Step[359/526], Loss: 0.6514
Epoch [43/100], Step[360/526], Loss: 0.6768
Epoch [43/100], Step[361/526], Loss: 0.7314
Epoch [43/100], Step[362/526], Loss: 0.7038
Epoch [43/100], Step[363/526], Loss: 0.6932
Epoch [43/100], Step[364/526], Loss: 0.7130
Epoch [43/100], Step[365/526], Loss: 0.7152
Epoch [43/100], Step[366/526], Loss: 0.6873
Epoch [43/100], Step[367/526], Loss: 0.6900
Epoch [43/100], Step[368/526], Loss: 0.6495
Epoch [43/100], Step[369/526], Loss: 0.6594
Epoch [43/100], Step[370/526], Loss: 0.9493
Epoch [43/100], Step[371/526], Loss: 0.7329
Epoch [43/100], Step[372/526], Loss: 0.6429
Epoch [43/100], Step[373/526], Loss: 0.6760
Epoch [43/100], Step[374/526], Loss: 0.7009
Epoch [43/100], Step[375/526], Loss: 0.6486
Epoch [43/100], Step[376/526], Loss: 0.6512
Epoch [43/100], Step[377/526], Loss: 0.6876
Epoch [43/100], Step[378/526], Loss: 0.6916
Epoch [43/100], Step[379/526], Loss: 0.7467
Epoch [43/100], Step[380/526], Loss: 0.6107
Epoch [43/100], Step[381/526], Loss: 0.5926
Epoch [43/100], Step[382/526], Loss: 0.6709
Epoch [43/100], Step[383/526], Loss: 0.6945
Epoch [43/100], Step[384/526], Loss: 0.6341
Epoch [43/100], Step[385/526], Loss: 0.6264
Epoch [43/100], Step[386/526], Loss: 0.6632
Epoch [43/100], Step[387/526], Loss: 0.6564
Epoch [43/100], Step[388/526], Loss: 0.5947
Epoch [43/100], Step[389/526], Loss: 0.7186
Epoch [43/100], Step[390/526], Loss: 0.5839
Epoch [43/100], Step[391/526], Loss: 0.6513
Epoch [43/100], Step[392/526], Loss: 0.6991
Epoch [43/100], Step[393/526], Loss: 0.5856
Epoch [43/100], Step[394/526], Loss: 0.5100
Epoch [43/100], Step[395/526], Loss: 0.6151
Epoch [43/100], Step[396/526], Loss: 0.6303
Epoch [43/100], Step[397/526], Loss: 0.4665
Epoch [43/100], Step[398/526], Loss: 0.6007
Epoch [43/100], Step[399/526], Loss: 0.6521
Epoch [43/100], Step[400/526], Loss: 0.4680
Epoch [43/100], Step[401/526], Loss: 0.5961
Epoch [43/100], Step[402/526], Loss: 0.6342
Epoch [43/100], Step[403/526], Loss: 0.7300
Epoch [43/100], Step[404/526], Loss: 0.4805
Epoch [43/100], Step[405/526], Loss: 0.5003
Epoch [43/100], Step[406/526], Loss: 0.6340
Epoch [43/100], Step[407/526], Loss: 0.7516
Epoch [43/100], Step[408/526], Loss: 0.6487
Epoch [43/100], Step[409/526], Loss: 0.4622
Epoch [43/100], Step[410/526], Loss: 0.4899
Epoch [43/100], Step[411/526], Loss: 0.5350
Epoch [43/100], Step[412/526], Loss: 0.5911
Epoch [43/100], Step[413/526], Loss: 0.5951
Epoch [43/100], Step[414/526], Loss: 0.6360
Epoch [43/100], Step[415/526], Loss: 0.6078
Epoch [43/100], Step[416/526], Loss: 0.5441
Epoch [43/100], Step[417/526], Loss: 0.4551
Epoch [43/100], Step[418/526], Loss: 0.7459
Epoch [43/100], Step[419/526], Loss: 0.6831
Epoch [43/100], Step[420/526], Loss: 0.6815
Epoch [43/100], Step[421/526], Loss: 0.6369
Epoch [43/100], Step[422/526], Loss: 0.7843
Epoch [43/100], Step[423/526], Loss: 0.7017
Epoch [43/100], Step[424/526], Loss: 0.7430
Epoch [43/100], Step[425/526], Loss: 0.7063
Epoch [43/100], Step[426/526], Loss: 0.7628
Epoch [43/100], Step[427/526], Loss: 0.7069
Epoch [43/100], Step[428/526], Loss: 0.7151
Epoch [43/100], Step[429/526], Loss: 0.7318
Epoch [43/100], Step[430/526], Loss: 0.7942
Epoch [43/100], Step[431/526], Loss: 0.7066
Epoch [43/100], Step[432/526], Loss: 0.7285
Epoch [43/100], Step[433/526], Loss: 0.6761
Epoch [43/100], Step[434/526], Loss: 0.6137
Epoch [43/100], Step[435/526], Loss: 0.7806
Epoch [43/100], Step[436/526], Loss: 0.8131
Epoch [43/100], Step[437/526], Loss: 0.5025
Epoch [43/100], Step[438/526], Loss: 0.3636
Epoch [43/100], Step[439/526], Loss: 0.7244
Epoch [43/100], Step[440/526], Loss: 0.6861
Epoch [43/100], Step[441/526], Loss: 0.6976
Epoch [43/100], Step[442/526], Loss: 0.6422
Epoch [43/100], Step[443/526], Loss: 0.6710
Epoch [43/100], Step[444/526], Loss: 0.7517
Epoch [43/100], Step[445/526], Loss: 0.7033
Epoch [43/100], Step[446/526], Loss: 0.7140
Epoch [43/100], Step[447/526], Loss: 0.7160
Epoch [43/100], Step[448/526], Loss: 0.7225
Epoch [43/100], Step[449/526], Loss: 0.6716
Epoch [43/100], Step[450/526], Loss: 0.6081
Epoch [43/100], Step[451/526], Loss: 0.6610
Epoch [43/100], Step[452/526], Loss: 0.7247
Epoch [43/100], Step[453/526], Loss: 0.7044
Epoch [43/100], Step[454/526], Loss: 0.8220
Epoch [43/100], Step[455/526], Loss: 0.6562
Epoch [43/100], Step[456/526], Loss: 0.6408
Epoch [43/100], Step[457/526], Loss: 0.7003
Epoch [43/100], Step[458/526], Loss: 0.6661
Epoch [43/100], Step[459/526], Loss: 0.6639
Epoch [43/100], Step[460/526], Loss: 0.6426
Epoch [43/100], Step[461/526], Loss: 0.6121
Epoch [43/100], Step[462/526], Loss: 0.6737
Epoch [43/100], Step[463/526], Loss: 0.6506
Epoch [43/100], Step[464/526], Loss: 0.6403
Epoch [43/100], Step[465/526], Loss: 0.6590
Epoch [43/100], Step[466/526], Loss: 0.6589
Epoch [43/100], Step[467/526], Loss: 0.6526
Epoch [43/100], Step[468/526], Loss: 0.6185
Epoch [43/100], Step[469/526], Loss: 0.8053
Epoch [43/100], Step[470/526], Loss: 0.6579
Epoch [43/100], Step[471/526], Loss: 0.6926
Epoch [43/100], Step[472/526], Loss: 0.6708
Epoch [43/100], Step[473/526], Loss: 0.6789
Epoch [43/100], Step[474/526], Loss: 0.6765
Epoch [43/100], Step[475/526], Loss: 0.8340
Epoch [43/100], Step[476/526], Loss: 0.7479
Epoch [43/100], Step[477/526], Loss: 0.6982
Epoch [43/100], Step[478/526], Loss: 0.6817
Epoch [43/100], Step[479/526], Loss: 0.6619
Epoch [43/100], Step[480/526], Loss: 0.7355
Epoch [43/100], Step[481/526], Loss: 0.7245
Epoch [43/100], Step[482/526], Loss: 0.6170
Epoch [43/100], Step[483/526], Loss: 0.5432
Epoch [43/100], Step[484/526], Loss: 0.6925
Epoch [43/100], Step[485/526], Loss: 0.7575
Epoch [43/100], Step[486/526], Loss: 0.7254
Epoch [43/100], Step[487/526], Loss: 0.7168
Epoch [43/100], Step[488/526], Loss: 0.7047
Epoch [43/100], Step[489/526], Loss: 0.6510
Epoch [43/100], Step[490/526], Loss: 0.6120
Epoch [43/100], Step[491/526], Loss: 0.6995
Epoch [43/100], Step[492/526], Loss: 0.6361
Epoch [43/100], Step[493/526], Loss: 0.6432
Epoch [43/100], Step[494/526], Loss: 0.6646
Epoch [43/100], Step[495/526], Loss: 0.6898
Epoch [43/100], Step[496/526], Loss: 0.6634
Epoch [43/100], Step[497/526], Loss: 0.6367
Epoch [43/100], Step[498/526], Loss: 0.6754
Epoch [43/100], Step[499/526], Loss: 0.6705
Epoch [43/100], Step[500/526], Loss: 0.6898
Epoch [43/100], Step[501/526], Loss: 0.6581
Epoch [43/100], Step[502/526], Loss: 0.6994
Epoch [43/100], Step[503/526], Loss: 0.7134
Epoch [43/100], Step[504/526], Loss: 0.6982
Epoch [43/100], Step[505/526], Loss: 0.7105
Epoch [43/100], Step[506/526], Loss: 0.6814
Epoch [43/100], Step[507/526], Loss: 0.6713
Epoch [43/100], Step[508/526], Loss: 0.7039
Epoch [43/100], Step[509/526], Loss: 0.6563
Epoch [43/100], Step[510/526], Loss: 0.7046
Epoch [43/100], Step[511/526], Loss: 0.6467
Epoch [43/100], Step[512/526], Loss: 0.6732
Epoch [43/100], Step[513/526], Loss: 0.6447
Epoch [43/100], Step[514/526], Loss: 0.6551
Epoch [43/100], Step[515/526], Loss: 0.6185
Epoch [43/100], Step[516/526], Loss: 0.7541
Epoch [43/100], Step[517/526], Loss: 0.6870
Epoch [43/100], Step[518/526], Loss: 0.7352
Epoch [43/100], Step[519/526], Loss: 0.7134
Epoch [43/100], Step[520/526], Loss: 0.6906
Epoch [43/100], Step[521/526], Loss: 0.6633
Epoch [43/100], Step[522/526], Loss: 0.6029
Epoch [43/100], Step[523/526], Loss: 0.6455
Epoch [43/100], Step[524/526], Loss: 0.6418
Epoch [43/100], Step[525/526], Loss: 0.7528
Epoch [43/100], Step[526/526], Loss: 0.7114
Epoch [44/100], Step[1/526], Loss: 0.6533
Epoch [44/100], Step[2/526], Loss: 0.6360
Epoch [44/100], Step[3/526], Loss: 0.6801
Epoch [44/100], Step[4/526], Loss: 0.6239
Epoch [44/100], Step[5/526], Loss: 0.7461
Epoch [44/100], Step[6/526], Loss: 0.7638
Epoch [44/100], Step[7/526], Loss: 0.6971
Epoch [44/100], Step[8/526], Loss: 0.6832
Epoch [44/100], Step[9/526], Loss: 0.7105
Epoch [44/100], Step[10/526], Loss: 0.6735
Epoch [44/100], Step[11/526], Loss: 0.6750
Epoch [44/100], Step[12/526], Loss: 0.7262
Epoch [44/100], Step[13/526], Loss: 0.6207
Epoch [44/100], Step[14/526], Loss: 0.6572
Epoch [44/100], Step[15/526], Loss: 0.6866
Epoch [44/100], Step[16/526], Loss: 0.7061
Epoch [44/100], Step[17/526], Loss: 0.7114
Epoch [44/100], Step[18/526], Loss: 0.6701
Epoch [44/100], Step[19/526], Loss: 0.6677
Epoch [44/100], Step[20/526], Loss: 0.7156
Epoch [44/100], Step[21/526], Loss: 0.7633
Epoch [44/100], Step[22/526], Loss: 0.7433
Epoch [44/100], Step[23/526], Loss: 0.7384
Epoch [44/100], Step[24/526], Loss: 0.7170
Epoch [44/100], Step[25/526], Loss: 0.6989
Epoch [44/100], Step[26/526], Loss: 0.6267
Epoch [44/100], Step[27/526], Loss: 0.6807
Epoch [44/100], Step[28/526], Loss: 0.6894
Epoch [44/100], Step[29/526], Loss: 0.6587
Epoch [44/100], Step[30/526], Loss: 0.6929
Epoch [44/100], Step[31/526], Loss: 0.7043
Epoch [44/100], Step[32/526], Loss: 0.6693
Epoch [44/100], Step[33/526], Loss: 0.7121
Epoch [44/100], Step[34/526], Loss: 0.6996
Epoch [44/100], Step[35/526], Loss: 0.7113
Epoch [44/100], Step[36/526], Loss: 0.7049
Epoch [44/100], Step[37/526], Loss: 0.6893
Epoch [44/100], Step[38/526], Loss: 0.7151
Epoch [44/100], Step[39/526], Loss: 0.6891
Epoch [44/100], Step[40/526], Loss: 0.7103
Epoch [44/100], Step[41/526], Loss: 0.6603
Epoch [44/100], Step[42/526], Loss: 0.7320
Epoch [44/100], Step[43/526], Loss: 0.7197
Epoch [44/100], Step[44/526], Loss: 0.6939
Epoch [44/100], Step[45/526], Loss: 0.7010
Epoch [44/100], Step[46/526], Loss: 0.6853
Epoch [44/100], Step[47/526], Loss: 0.7051
Epoch [44/100], Step[48/526], Loss: 0.7253
Epoch [44/100], Step[49/526], Loss: 0.7219
Epoch [44/100], Step[50/526], Loss: 0.6948
Epoch [44/100], Step[51/526], Loss: 0.6967
Epoch [44/100], Step[52/526], Loss: 0.6732
Epoch [44/100], Step[53/526], Loss: 0.7131
Epoch [44/100], Step[54/526], Loss: 0.7061
Epoch [44/100], Step[55/526], Loss: 0.7056
Epoch [44/100], Step[56/526], Loss: 0.6951
Epoch [44/100], Step[57/526], Loss: 0.6849
Epoch [44/100], Step[58/526], Loss: 0.6756
Epoch [44/100], Step[59/526], Loss: 0.6468
Epoch [44/100], Step[60/526], Loss: 0.6651
Epoch [44/100], Step[61/526], Loss: 0.6581
Epoch [44/100], Step[62/526], Loss: 0.6984
Epoch [44/100], Step[63/526], Loss: 0.6911
Epoch [44/100], Step[64/526], Loss: 0.6802
Epoch [44/100], Step[65/526], Loss: 0.7235
Epoch [44/100], Step[66/526], Loss: 0.6840
Epoch [44/100], Step[67/526], Loss: 0.6538
Epoch [44/100], Step[68/526], Loss: 0.6476
Epoch [44/100], Step[69/526], Loss: 0.6968
Epoch [44/100], Step[70/526], Loss: 0.6818
Epoch [44/100], Step[71/526], Loss: 0.6658
Epoch [44/100], Step[72/526], Loss: 0.6808
Epoch [44/100], Step[73/526], Loss: 0.7154
Epoch [44/100], Step[74/526], Loss: 0.6563
Epoch [44/100], Step[75/526], Loss: 0.7036
Epoch [44/100], Step[76/526], Loss: 0.6919
Epoch [44/100], Step[77/526], Loss: 0.7017
Epoch [44/100], Step[78/526], Loss: 0.7109
Epoch [44/100], Step[79/526], Loss: 0.6943
Epoch [44/100], Step[80/526], Loss: 0.6926
Epoch [44/100], Step[81/526], Loss: 0.7030
Epoch [44/100], Step[82/526], Loss: 0.7299
Epoch [44/100], Step[83/526], Loss: 0.7033
Epoch [44/100], Step[84/526], Loss: 0.7000
Epoch [44/100], Step[85/526], Loss: 0.6627
Epoch [44/100], Step[86/526], Loss: 0.7052
Epoch [44/100], Step[87/526], Loss: 0.6844
Epoch [44/100], Step[88/526], Loss: 0.6918
Epoch [44/100], Step[89/526], Loss: 0.7265
Epoch [44/100], Step[90/526], Loss: 0.6831
Epoch [44/100], Step[91/526], Loss: 0.6901
Epoch [44/100], Step[92/526], Loss: 0.6796
Epoch [44/100], Step[93/526], Loss: 0.6926
Epoch [44/100], Step[94/526], Loss: 0.8024
Epoch [44/100], Step[95/526], Loss: 0.7181
Epoch [44/100], Step[96/526], Loss: 0.6255
Epoch [44/100], Step[97/526], Loss: 0.5907
Epoch [44/100], Step[98/526], Loss: 0.6870
Epoch [44/100], Step[99/526], Loss: 0.6842
Epoch [44/100], Step[100/526], Loss: 0.6660
Epoch [44/100], Step[101/526], Loss: 0.6588
Epoch [44/100], Step[102/526], Loss: 0.6385
Epoch [44/100], Step[103/526], Loss: 0.7128
Epoch [44/100], Step[104/526], Loss: 0.6623
Epoch [44/100], Step[105/526], Loss: 0.6359
Epoch [44/100], Step[106/526], Loss: 0.6879
Epoch [44/100], Step[107/526], Loss: 0.6293
Epoch [44/100], Step[108/526], Loss: 0.5699
Epoch [44/100], Step[109/526], Loss: 0.6708
Epoch [44/100], Step[110/526], Loss: 0.6769
Epoch [44/100], Step[111/526], Loss: 0.5988
Epoch [44/100], Step[112/526], Loss: 0.7300
Epoch [44/100], Step[113/526], Loss: 0.6068
Epoch [44/100], Step[114/526], Loss: 0.6558
Epoch [44/100], Step[115/526], Loss: 0.5929
Epoch [44/100], Step[116/526], Loss: 0.6269
Epoch [44/100], Step[117/526], Loss: 0.6658
Epoch [44/100], Step[118/526], Loss: 0.7628
Epoch [44/100], Step[119/526], Loss: 0.6793
Epoch [44/100], Step[120/526], Loss: 0.6764
Epoch [44/100], Step[121/526], Loss: 0.6933
Epoch [44/100], Step[122/526], Loss: 0.6235
Epoch [44/100], Step[123/526], Loss: 0.6473
Epoch [44/100], Step[124/526], Loss: 0.6690
Epoch [44/100], Step[125/526], Loss: 0.6338
Epoch [44/100], Step[126/526], Loss: 0.7235
Epoch [44/100], Step[127/526], Loss: 0.6714
Epoch [44/100], Step[128/526], Loss: 0.6440
Epoch [44/100], Step[129/526], Loss: 0.6000
Epoch [44/100], Step[130/526], Loss: 0.6205
Epoch [44/100], Step[131/526], Loss: 0.6658
Epoch [44/100], Step[132/526], Loss: 0.7230
Epoch [44/100], Step[133/526], Loss: 0.6735
Epoch [44/100], Step[134/526], Loss: 0.6329
Epoch [44/100], Step[135/526], Loss: 0.6393
Epoch [44/100], Step[136/526], Loss: 0.5615
Epoch [44/100], Step[137/526], Loss: 0.6466
Epoch [44/100], Step[138/526], Loss: 0.6425
Epoch [44/100], Step[139/526], Loss: 0.7013
Epoch [44/100], Step[140/526], Loss: 0.5923
Epoch [44/100], Step[141/526], Loss: 0.6748
Epoch [44/100], Step[142/526], Loss: 0.6629
Epoch [44/100], Step[143/526], Loss: 0.6991
Epoch [44/100], Step[144/526], Loss: 0.7819
Epoch [44/100], Step[145/526], Loss: 0.5481
Epoch [44/100], Step[146/526], Loss: 0.5091
Epoch [44/100], Step[147/526], Loss: 0.4503
Epoch [44/100], Step[148/526], Loss: 0.5997
Epoch [44/100], Step[149/526], Loss: 0.4978
Epoch [44/100], Step[150/526], Loss: 0.6046
Epoch [44/100], Step[151/526], Loss: 0.5581
Epoch [44/100], Step[152/526], Loss: 0.6228
Epoch [44/100], Step[153/526], Loss: 0.6373
Epoch [44/100], Step[154/526], Loss: 0.7206
Epoch [44/100], Step[155/526], Loss: 0.7484
Epoch [44/100], Step[156/526], Loss: 0.5368
Epoch [44/100], Step[157/526], Loss: 0.2710
Epoch [44/100], Step[158/526], Loss: 0.6062
Epoch [44/100], Step[159/526], Loss: 0.6641
Epoch [44/100], Step[160/526], Loss: 0.5566
Epoch [44/100], Step[161/526], Loss: 0.9315
Epoch [44/100], Step[162/526], Loss: 0.7026
Epoch [44/100], Step[163/526], Loss: 0.7139
Epoch [44/100], Step[164/526], Loss: 0.6217
Epoch [44/100], Step[165/526], Loss: 0.7091
Epoch [44/100], Step[166/526], Loss: 0.5072
Epoch [44/100], Step[167/526], Loss: 0.5505
Epoch [44/100], Step[168/526], Loss: 0.6799
Epoch [44/100], Step[169/526], Loss: 0.7461
Epoch [44/100], Step[170/526], Loss: 0.7052
Epoch [44/100], Step[171/526], Loss: 0.7315
Epoch [44/100], Step[172/526], Loss: 0.7128
Epoch [44/100], Step[173/526], Loss: 0.8187
Epoch [44/100], Step[174/526], Loss: 0.6191
Epoch [44/100], Step[175/526], Loss: 0.6689
Epoch [44/100], Step[176/526], Loss: 0.6223
Epoch [44/100], Step[177/526], Loss: 0.6573
Epoch [44/100], Step[178/526], Loss: 0.6900
Epoch [44/100], Step[179/526], Loss: 0.6288
Epoch [44/100], Step[180/526], Loss: 0.6725
Epoch [44/100], Step[181/526], Loss: 0.6427
Epoch [44/100], Step[182/526], Loss: 0.6735
Epoch [44/100], Step[183/526], Loss: 0.5348
Epoch [44/100], Step[184/526], Loss: 0.5942
Epoch [44/100], Step[185/526], Loss: 0.5961
Epoch [44/100], Step[186/526], Loss: 0.6508
Epoch [44/100], Step[187/526], Loss: 0.7418
Epoch [44/100], Step[188/526], Loss: 0.6964
Epoch [44/100], Step[189/526], Loss: 0.6782
Epoch [44/100], Step[190/526], Loss: 0.6368
Epoch [44/100], Step[191/526], Loss: 0.7106
Epoch [44/100], Step[192/526], Loss: 0.8156
Epoch [44/100], Step[193/526], Loss: 0.6502
Epoch [44/100], Step[194/526], Loss: 0.6176
Epoch [44/100], Step[195/526], Loss: 0.6438
Epoch [44/100], Step[196/526], Loss: 0.7227
Epoch [44/100], Step[197/526], Loss: 0.6848
Epoch [44/100], Step[198/526], Loss: 0.6382
Epoch [44/100], Step[199/526], Loss: 0.7345
Epoch [44/100], Step[200/526], Loss: 0.6762
Epoch [44/100], Step[201/526], Loss: 0.6742
Epoch [44/100], Step[202/526], Loss: 0.7405
Epoch [44/100], Step[203/526], Loss: 0.7047
Epoch [44/100], Step[204/526], Loss: 0.7252
Epoch [44/100], Step[205/526], Loss: 0.6957
Epoch [44/100], Step[206/526], Loss: 0.6834
Epoch [44/100], Step[207/526], Loss: 0.7051
Epoch [44/100], Step[208/526], Loss: 0.6846
Epoch [44/100], Step[209/526], Loss: 0.6813
Epoch [44/100], Step[210/526], Loss: 0.7597
Epoch [44/100], Step[211/526], Loss: 0.6361
Epoch [44/100], Step[212/526], Loss: 0.6874
Epoch [44/100], Step[213/526], Loss: 0.7228
Epoch [44/100], Step[214/526], Loss: 0.7414
Epoch [44/100], Step[215/526], Loss: 0.6909
Epoch [44/100], Step[216/526], Loss: 0.6791
Epoch [44/100], Step[217/526], Loss: 0.6731
Epoch [44/100], Step[218/526], Loss: 0.6988
Epoch [44/100], Step[219/526], Loss: 0.6913
Epoch [44/100], Step[220/526], Loss: 0.7218
Epoch [44/100], Step[221/526], Loss: 0.6917
Epoch [44/100], Step[222/526], Loss: 0.7324
Epoch [44/100], Step[223/526], Loss: 0.6810
Epoch [44/100], Step[224/526], Loss: 0.6853
Epoch [44/100], Step[225/526], Loss: 0.7158
Epoch [44/100], Step[226/526], Loss: 0.6747
Epoch [44/100], Step[227/526], Loss: 0.6699
Epoch [44/100], Step[228/526], Loss: 0.6650
Epoch [44/100], Step[229/526], Loss: 0.6907
Epoch [44/100], Step[230/526], Loss: 0.6633
Epoch [44/100], Step[231/526], Loss: 0.6687
Epoch [44/100], Step[232/526], Loss: 0.7107
Epoch [44/100], Step[233/526], Loss: 0.6828
Epoch [44/100], Step[234/526], Loss: 0.6785
Epoch [44/100], Step[235/526], Loss: 0.7023
Epoch [44/100], Step[236/526], Loss: 0.6941
Epoch [44/100], Step[237/526], Loss: 0.7177
Epoch [44/100], Step[238/526], Loss: 0.6857
Epoch [44/100], Step[239/526], Loss: 0.6716
Epoch [44/100], Step[240/526], Loss: 0.7313
Epoch [44/100], Step[241/526], Loss: 0.7003
Epoch [44/100], Step[242/526], Loss: 0.7112
Epoch [44/100], Step[243/526], Loss: 0.6422
Epoch [44/100], Step[244/526], Loss: 0.6528
Epoch [44/100], Step[245/526], Loss: 0.6417
Epoch [44/100], Step[246/526], Loss: 0.6630
Epoch [44/100], Step[247/526], Loss: 0.6236
Epoch [44/100], Step[248/526], Loss: 0.6567
Epoch [44/100], Step[249/526], Loss: 0.6675
Epoch [44/100], Step[250/526], Loss: 0.6829
Epoch [44/100], Step[251/526], Loss: 0.7042
Epoch [44/100], Step[252/526], Loss: 0.6936
Epoch [44/100], Step[253/526], Loss: 0.6321
Epoch [44/100], Step[254/526], Loss: 0.6618
Epoch [44/100], Step[255/526], Loss: 0.6042
Epoch [44/100], Step[256/526], Loss: 0.6908
Epoch [44/100], Step[257/526], Loss: 0.6706
Epoch [44/100], Step[258/526], Loss: 0.6282
Epoch [44/100], Step[259/526], Loss: 0.6852
Epoch [44/100], Step[260/526], Loss: 0.7430
Epoch [44/100], Step[261/526], Loss: 0.7501
Epoch [44/100], Step[262/526], Loss: 0.6802
Epoch [44/100], Step[263/526], Loss: 0.6645
Epoch [44/100], Step[264/526], Loss: 0.6486
Epoch [44/100], Step[265/526], Loss: 0.6357
Epoch [44/100], Step[266/526], Loss: 0.6410
Epoch [44/100], Step[267/526], Loss: 0.5022
Epoch [44/100], Step[268/526], Loss: 0.5434
Epoch [44/100], Step[269/526], Loss: 0.4527
Epoch [44/100], Step[270/526], Loss: 0.3832
Epoch [44/100], Step[271/526], Loss: 0.5116
Epoch [44/100], Step[272/526], Loss: 0.5319
Epoch [44/100], Step[273/526], Loss: 0.6305
Epoch [44/100], Step[274/526], Loss: 0.4326
Epoch [44/100], Step[275/526], Loss: 0.4166
Epoch [44/100], Step[276/526], Loss: 0.4653
Epoch [44/100], Step[277/526], Loss: 0.4223
Epoch [44/100], Step[278/526], Loss: 0.4527
Epoch [44/100], Step[279/526], Loss: 0.4027
Epoch [44/100], Step[280/526], Loss: 0.4435
Epoch [44/100], Step[281/526], Loss: 0.6253
Epoch [44/100], Step[282/526], Loss: 0.3567
Epoch [44/100], Step[283/526], Loss: 0.3639
Epoch [44/100], Step[284/526], Loss: 0.3966
Epoch [44/100], Step[285/526], Loss: 0.2741
Epoch [44/100], Step[286/526], Loss: 0.7028
Epoch [44/100], Step[287/526], Loss: 0.4781
Epoch [44/100], Step[288/526], Loss: 0.4332
Epoch [44/100], Step[289/526], Loss: 0.6159
Epoch [44/100], Step[290/526], Loss: 0.4221
Epoch [44/100], Step[291/526], Loss: 0.4806
Epoch [44/100], Step[292/526], Loss: 0.2547
Epoch [44/100], Step[293/526], Loss: 0.3067
Epoch [44/100], Step[294/526], Loss: 0.3206
Epoch [44/100], Step[295/526], Loss: 0.4212
Epoch [44/100], Step[296/526], Loss: 0.6230
Epoch [44/100], Step[297/526], Loss: 0.2928
Epoch [44/100], Step[298/526], Loss: 0.2872
Epoch [44/100], Step[299/526], Loss: 0.2371
Epoch [44/100], Step[300/526], Loss: 0.2902
Epoch [44/100], Step[301/526], Loss: 0.6179
Epoch [44/100], Step[302/526], Loss: 0.3211
Epoch [44/100], Step[303/526], Loss: 0.4751
Epoch [44/100], Step[304/526], Loss: 0.2568
Epoch [44/100], Step[305/526], Loss: 0.2601
Epoch [44/100], Step[306/526], Loss: 0.5791
Epoch [44/100], Step[307/526], Loss: 0.8928
Epoch [44/100], Step[308/526], Loss: 1.3175
Epoch [44/100], Step[309/526], Loss: 0.8636
Epoch [44/100], Step[310/526], Loss: 0.9619
Epoch [44/100], Step[311/526], Loss: 0.8225
Epoch [44/100], Step[312/526], Loss: 0.4897
Epoch [44/100], Step[313/526], Loss: 0.4855
Epoch [44/100], Step[314/526], Loss: 0.6502
Epoch [44/100], Step[315/526], Loss: 0.7011
Epoch [44/100], Step[316/526], Loss: 0.4912
Epoch [44/100], Step[317/526], Loss: 0.3238
Epoch [44/100], Step[318/526], Loss: 0.7685
Epoch [44/100], Step[319/526], Loss: 0.3558
Epoch [44/100], Step[320/526], Loss: 0.6158
Epoch [44/100], Step[321/526], Loss: 0.7086
Epoch [44/100], Step[322/526], Loss: 0.2693
Epoch [44/100], Step[323/526], Loss: 0.6144
Epoch [44/100], Step[324/526], Loss: 0.6542
Epoch [44/100], Step[325/526], Loss: 0.5804
Epoch [44/100], Step[326/526], Loss: 0.7598
Epoch [44/100], Step[327/526], Loss: 0.7304
Epoch [44/100], Step[328/526], Loss: 0.9284
Epoch [44/100], Step[329/526], Loss: 1.2753
Epoch [44/100], Step[330/526], Loss: 1.0351
Epoch [44/100], Step[331/526], Loss: 0.7887
Epoch [44/100], Step[332/526], Loss: 0.8308
Epoch [44/100], Step[333/526], Loss: 0.7775
Epoch [44/100], Step[334/526], Loss: 0.7713
Epoch [44/100], Step[335/526], Loss: 0.7933
Epoch [44/100], Step[336/526], Loss: 0.6944
Epoch [44/100], Step[337/526], Loss: 0.5928
Epoch [44/100], Step[338/526], Loss: 0.7078
Epoch [44/100], Step[339/526], Loss: 0.6418
Epoch [44/100], Step[340/526], Loss: 0.7239
Epoch [44/100], Step[341/526], Loss: 0.7740
Epoch [44/100], Step[342/526], Loss: 0.7856
Epoch [44/100], Step[343/526], Loss: 0.5391
Epoch [44/100], Step[344/526], Loss: 0.7317
Epoch [44/100], Step[345/526], Loss: 0.6505
Epoch [44/100], Step[346/526], Loss: 0.6756
Epoch [44/100], Step[347/526], Loss: 0.7104
Epoch [44/100], Step[348/526], Loss: 0.6317
Epoch [44/100], Step[349/526], Loss: 0.5764
Epoch [44/100], Step[350/526], Loss: 0.6734
Epoch [44/100], Step[351/526], Loss: 0.7163
Epoch [44/100], Step[352/526], Loss: 0.6124
Epoch [44/100], Step[353/526], Loss: 0.6871
Epoch [44/100], Step[354/526], Loss: 0.6699
Epoch [44/100], Step[355/526], Loss: 0.6729
Epoch [44/100], Step[356/526], Loss: 0.7052
Epoch [44/100], Step[357/526], Loss: 0.6590
Epoch [44/100], Step[358/526], Loss: 0.6965
Epoch [44/100], Step[359/526], Loss: 0.6539
Epoch [44/100], Step[360/526], Loss: 0.6769
Epoch [44/100], Step[361/526], Loss: 0.7290
Epoch [44/100], Step[362/526], Loss: 0.7037
Epoch [44/100], Step[363/526], Loss: 0.6932
Epoch [44/100], Step[364/526], Loss: 0.7136
Epoch [44/100], Step[365/526], Loss: 0.7145
Epoch [44/100], Step[366/526], Loss: 0.6873
Epoch [44/100], Step[367/526], Loss: 0.6903
Epoch [44/100], Step[368/526], Loss: 0.6491
Epoch [44/100], Step[369/526], Loss: 0.6593
Epoch [44/100], Step[370/526], Loss: 0.6250
Epoch [44/100], Step[371/526], Loss: 0.7338
Epoch [44/100], Step[372/526], Loss: 0.6420
Epoch [44/100], Step[373/526], Loss: 0.6755
Epoch [44/100], Step[374/526], Loss: 0.7035
Epoch [44/100], Step[375/526], Loss: 0.6482
Epoch [44/100], Step[376/526], Loss: 0.6592
Epoch [44/100], Step[377/526], Loss: 0.6880
Epoch [44/100], Step[378/526], Loss: 0.6919
Epoch [44/100], Step[379/526], Loss: 0.7490
Epoch [44/100], Step[380/526], Loss: 0.6123
Epoch [44/100], Step[381/526], Loss: 0.5924
Epoch [44/100], Step[382/526], Loss: 0.6712
Epoch [44/100], Step[383/526], Loss: 0.6952
Epoch [44/100], Step[384/526], Loss: 0.6318
Epoch [44/100], Step[385/526], Loss: 0.6284
Epoch [44/100], Step[386/526], Loss: 0.6629
Epoch [44/100], Step[387/526], Loss: 0.6590
Epoch [44/100], Step[388/526], Loss: 0.5956
Epoch [44/100], Step[389/526], Loss: 0.7212
Epoch [44/100], Step[390/526], Loss: 0.5878
Epoch [44/100], Step[391/526], Loss: 0.6524
Epoch [44/100], Step[392/526], Loss: 0.7004
Epoch [44/100], Step[393/526], Loss: 0.5852
Epoch [44/100], Step[394/526], Loss: 0.5112
Epoch [44/100], Step[395/526], Loss: 0.6129
Epoch [44/100], Step[396/526], Loss: 0.6304
Epoch [44/100], Step[397/526], Loss: 0.4679
Epoch [44/100], Step[398/526], Loss: 0.5997
Epoch [44/100], Step[399/526], Loss: 0.6514
Epoch [44/100], Step[400/526], Loss: 0.4700
Epoch [44/100], Step[401/526], Loss: 0.5953
Epoch [44/100], Step[402/526], Loss: 0.6375
Epoch [44/100], Step[403/526], Loss: 0.7308
Epoch [44/100], Step[404/526], Loss: 0.4798
Epoch [44/100], Step[405/526], Loss: 0.5013
Epoch [44/100], Step[406/526], Loss: 0.6314
Epoch [44/100], Step[407/526], Loss: 0.7537
Epoch [44/100], Step[408/526], Loss: 0.6518
Epoch [44/100], Step[409/526], Loss: 0.4628
Epoch [44/100], Step[410/526], Loss: 0.4911
Epoch [44/100], Step[411/526], Loss: 0.5356
Epoch [44/100], Step[412/526], Loss: 0.5924
Epoch [44/100], Step[413/526], Loss: 0.5942
Epoch [44/100], Step[414/526], Loss: 0.6381
Epoch [44/100], Step[415/526], Loss: 0.6098
Epoch [44/100], Step[416/526], Loss: 0.5436
Epoch [44/100], Step[417/526], Loss: 0.4537
Epoch [44/100], Step[418/526], Loss: 0.7437
Epoch [44/100], Step[419/526], Loss: 0.6829
Epoch [44/100], Step[420/526], Loss: 0.6832
Epoch [44/100], Step[421/526], Loss: 0.6368
Epoch [44/100], Step[422/526], Loss: 0.7795
Epoch [44/100], Step[423/526], Loss: 0.7018
Epoch [44/100], Step[424/526], Loss: 0.7429
Epoch [44/100], Step[425/526], Loss: 0.7020
Epoch [44/100], Step[426/526], Loss: 0.7625
Epoch [44/100], Step[427/526], Loss: 0.7063
Epoch [44/100], Step[428/526], Loss: 0.7145
Epoch [44/100], Step[429/526], Loss: 0.7287
Epoch [44/100], Step[430/526], Loss: 0.7924
Epoch [44/100], Step[431/526], Loss: 0.7040
Epoch [44/100], Step[432/526], Loss: 0.7294
Epoch [44/100], Step[433/526], Loss: 0.6744
Epoch [44/100], Step[434/526], Loss: 0.6114
Epoch [44/100], Step[435/526], Loss: 0.7762
Epoch [44/100], Step[436/526], Loss: 0.8089
Epoch [44/100], Step[437/526], Loss: 0.4994
Epoch [44/100], Step[438/526], Loss: 0.3661
Epoch [44/100], Step[439/526], Loss: 0.7230
Epoch [44/100], Step[440/526], Loss: 0.6858
Epoch [44/100], Step[441/526], Loss: 0.6989
Epoch [44/100], Step[442/526], Loss: 0.6423
Epoch [44/100], Step[443/526], Loss: 0.6715
Epoch [44/100], Step[444/526], Loss: 0.7527
Epoch [44/100], Step[445/526], Loss: 0.7037
Epoch [44/100], Step[446/526], Loss: 0.7142
Epoch [44/100], Step[447/526], Loss: 0.7165
Epoch [44/100], Step[448/526], Loss: 0.7199
Epoch [44/100], Step[449/526], Loss: 0.6719
Epoch [44/100], Step[450/526], Loss: 0.6102
Epoch [44/100], Step[451/526], Loss: 0.6616
Epoch [44/100], Step[452/526], Loss: 0.7256
Epoch [44/100], Step[453/526], Loss: 0.7069
Epoch [44/100], Step[454/526], Loss: 0.8241
Epoch [44/100], Step[455/526], Loss: 0.6529
Epoch [44/100], Step[456/526], Loss: 0.6311
Epoch [44/100], Step[457/526], Loss: 0.6984
Epoch [44/100], Step[458/526], Loss: 0.6672
Epoch [44/100], Step[459/526], Loss: 0.6642
Epoch [44/100], Step[460/526], Loss: 0.6416
Epoch [44/100], Step[461/526], Loss: 0.6106
Epoch [44/100], Step[462/526], Loss: 0.6758
Epoch [44/100], Step[463/526], Loss: 0.6495
Epoch [44/100], Step[464/526], Loss: 0.6387
Epoch [44/100], Step[465/526], Loss: 0.6598
Epoch [44/100], Step[466/526], Loss: 0.6599
Epoch [44/100], Step[467/526], Loss: 0.6513
Epoch [44/100], Step[468/526], Loss: 0.6198
Epoch [44/100], Step[469/526], Loss: 0.8068
Epoch [44/100], Step[470/526], Loss: 0.6575
Epoch [44/100], Step[471/526], Loss: 0.6962
Epoch [44/100], Step[472/526], Loss: 0.6710
Epoch [44/100], Step[473/526], Loss: 0.6800
Epoch [44/100], Step[474/526], Loss: 0.6772
Epoch [44/100], Step[475/526], Loss: 0.8393
Epoch [44/100], Step[476/526], Loss: 0.7469
Epoch [44/100], Step[477/526], Loss: 0.6994
Epoch [44/100], Step[478/526], Loss: 0.6882
Epoch [44/100], Step[479/526], Loss: 0.6597
Epoch [44/100], Step[480/526], Loss: 0.7349
Epoch [44/100], Step[481/526], Loss: 0.7290
Epoch [44/100], Step[482/526], Loss: 0.6207
Epoch [44/100], Step[483/526], Loss: 0.5430
Epoch [44/100], Step[484/526], Loss: 0.6931
Epoch [44/100], Step[485/526], Loss: 0.7693
Epoch [44/100], Step[486/526], Loss: 0.7268
Epoch [44/100], Step[487/526], Loss: 0.7464
Epoch [44/100], Step[488/526], Loss: 0.6970
Epoch [44/100], Step[489/526], Loss: 0.6340
Epoch [44/100], Step[490/526], Loss: 0.6118
Epoch [44/100], Step[491/526], Loss: 0.6987
Epoch [44/100], Step[492/526], Loss: 0.6450
Epoch [44/100], Step[493/526], Loss: 0.6419
Epoch [44/100], Step[494/526], Loss: 0.6646
Epoch [44/100], Step[495/526], Loss: 0.6896
Epoch [44/100], Step[496/526], Loss: 0.6636
Epoch [44/100], Step[497/526], Loss: 0.6368
Epoch [44/100], Step[498/526], Loss: 0.6753
Epoch [44/100], Step[499/526], Loss: 0.6705
Epoch [44/100], Step[500/526], Loss: 0.6794
Epoch [44/100], Step[501/526], Loss: 0.6572
Epoch [44/100], Step[502/526], Loss: 0.6994
Epoch [44/100], Step[503/526], Loss: 0.7135
Epoch [44/100], Step[504/526], Loss: 0.7009
Epoch [44/100], Step[505/526], Loss: 0.7105
Epoch [44/100], Step[506/526], Loss: 0.6816
Epoch [44/100], Step[507/526], Loss: 0.6726
Epoch [44/100], Step[508/526], Loss: 0.7041
Epoch [44/100], Step[509/526], Loss: 0.6545
Epoch [44/100], Step[510/526], Loss: 0.7038
Epoch [44/100], Step[511/526], Loss: 0.6433
Epoch [44/100], Step[512/526], Loss: 0.6737
Epoch [44/100], Step[513/526], Loss: 0.6442
Epoch [44/100], Step[514/526], Loss: 0.6550
Epoch [44/100], Step[515/526], Loss: 0.5776
Epoch [44/100], Step[516/526], Loss: 0.7530
Epoch [44/100], Step[517/526], Loss: 0.6876
Epoch [44/100], Step[518/526], Loss: 0.7351
Epoch [44/100], Step[519/526], Loss: 0.7135
Epoch [44/100], Step[520/526], Loss: 0.6898
Epoch [44/100], Step[521/526], Loss: 0.6695
Epoch [44/100], Step[522/526], Loss: 0.6050
Epoch [44/100], Step[523/526], Loss: 0.6488
Epoch [44/100], Step[524/526], Loss: 0.6483
Epoch [44/100], Step[525/526], Loss: 0.7425
Epoch [44/100], Step[526/526], Loss: 0.7061
Epoch [45/100], Step[1/526], Loss: 0.6592
Epoch [45/100], Step[2/526], Loss: 0.6445
Epoch [45/100], Step[3/526], Loss: 0.6891
Epoch [45/100], Step[4/526], Loss: 0.6328
Epoch [45/100], Step[5/526], Loss: 0.7381
Epoch [45/100], Step[6/526], Loss: 0.7483
Epoch [45/100], Step[7/526], Loss: 0.6969
Epoch [45/100], Step[8/526], Loss: 0.6808
Epoch [45/100], Step[9/526], Loss: 0.7089
Epoch [45/100], Step[10/526], Loss: 0.6749
Epoch [45/100], Step[11/526], Loss: 0.6676
Epoch [45/100], Step[12/526], Loss: 0.7199
Epoch [45/100], Step[13/526], Loss: 0.6319
Epoch [45/100], Step[14/526], Loss: 0.6649
Epoch [45/100], Step[15/526], Loss: 0.6864
Epoch [45/100], Step[16/526], Loss: 0.7045
Epoch [45/100], Step[17/526], Loss: 0.7083
Epoch [45/100], Step[18/526], Loss: 0.6921
Epoch [45/100], Step[19/526], Loss: 0.6852
Epoch [45/100], Step[20/526], Loss: 0.7083
Epoch [45/100], Step[21/526], Loss: 0.7532
Epoch [45/100], Step[22/526], Loss: 0.7278
Epoch [45/100], Step[23/526], Loss: 0.7374
Epoch [45/100], Step[24/526], Loss: 0.7133
Epoch [45/100], Step[25/526], Loss: 0.6912
Epoch [45/100], Step[26/526], Loss: 0.6375
Epoch [45/100], Step[27/526], Loss: 0.6857
Epoch [45/100], Step[28/526], Loss: 0.6871
Epoch [45/100], Step[29/526], Loss: 0.6580
Epoch [45/100], Step[30/526], Loss: 0.6919
Epoch [45/100], Step[31/526], Loss: 0.7029
Epoch [45/100], Step[32/526], Loss: 0.6663
Epoch [45/100], Step[33/526], Loss: 0.7066
Epoch [45/100], Step[34/526], Loss: 0.6939
Epoch [45/100], Step[35/526], Loss: 0.7097
Epoch [45/100], Step[36/526], Loss: 0.6963
Epoch [45/100], Step[37/526], Loss: 0.6927
Epoch [45/100], Step[38/526], Loss: 0.7119
Epoch [45/100], Step[39/526], Loss: 0.6940
Epoch [45/100], Step[40/526], Loss: 0.7166
Epoch [45/100], Step[41/526], Loss: 0.6590
Epoch [45/100], Step[42/526], Loss: 0.7279
Epoch [45/100], Step[43/526], Loss: 0.7185
Epoch [45/100], Step[44/526], Loss: 0.6844
Epoch [45/100], Step[45/526], Loss: 0.6899
Epoch [45/100], Step[46/526], Loss: 0.6893
Epoch [45/100], Step[47/526], Loss: 0.7070
Epoch [45/100], Step[48/526], Loss: 0.7274
Epoch [45/100], Step[49/526], Loss: 0.7048
Epoch [45/100], Step[50/526], Loss: 0.7114
Epoch [45/100], Step[51/526], Loss: 0.6941
Epoch [45/100], Step[52/526], Loss: 0.6760
Epoch [45/100], Step[53/526], Loss: 0.7181
Epoch [45/100], Step[54/526], Loss: 0.7018
Epoch [45/100], Step[55/526], Loss: 0.6899
Epoch [45/100], Step[56/526], Loss: 0.7002
Epoch [45/100], Step[57/526], Loss: 0.6834
Epoch [45/100], Step[58/526], Loss: 0.6741
Epoch [45/100], Step[59/526], Loss: 0.6554
Epoch [45/100], Step[60/526], Loss: 0.6686
Epoch [45/100], Step[61/526], Loss: 0.6507
Epoch [45/100], Step[62/526], Loss: 0.6985
Epoch [45/100], Step[63/526], Loss: 0.6877
Epoch [45/100], Step[64/526], Loss: 0.6827
Epoch [45/100], Step[65/526], Loss: 0.7237
Epoch [45/100], Step[66/526], Loss: 0.6836
Epoch [45/100], Step[67/526], Loss: 0.6579
Epoch [45/100], Step[68/526], Loss: 0.6496
Epoch [45/100], Step[69/526], Loss: 0.6959
Epoch [45/100], Step[70/526], Loss: 0.6835
Epoch [45/100], Step[71/526], Loss: 0.6678
Epoch [45/100], Step[72/526], Loss: 0.6830
Epoch [45/100], Step[73/526], Loss: 0.7125
Epoch [45/100], Step[74/526], Loss: 0.6616
Epoch [45/100], Step[75/526], Loss: 0.7040
Epoch [45/100], Step[76/526], Loss: 0.6891
Epoch [45/100], Step[77/526], Loss: 0.6968
Epoch [45/100], Step[78/526], Loss: 0.7087
Epoch [45/100], Step[79/526], Loss: 0.6916
Epoch [45/100], Step[80/526], Loss: 0.6905
Epoch [45/100], Step[81/526], Loss: 0.7031
Epoch [45/100], Step[82/526], Loss: 0.7257
Epoch [45/100], Step[83/526], Loss: 0.7059
Epoch [45/100], Step[84/526], Loss: 0.6959
Epoch [45/100], Step[85/526], Loss: 0.6636
Epoch [45/100], Step[86/526], Loss: 0.7038
Epoch [45/100], Step[87/526], Loss: 0.6865
Epoch [45/100], Step[88/526], Loss: 0.6894
Epoch [45/100], Step[89/526], Loss: 0.7219
Epoch [45/100], Step[90/526], Loss: 0.6848
Epoch [45/100], Step[91/526], Loss: 0.6834
Epoch [45/100], Step[92/526], Loss: 0.6812
Epoch [45/100], Step[93/526], Loss: 0.6886
Epoch [45/100], Step[94/526], Loss: 0.8021
Epoch [45/100], Step[95/526], Loss: 0.7170
Epoch [45/100], Step[96/526], Loss: 0.6258
Epoch [45/100], Step[97/526], Loss: 0.5939
Epoch [45/100], Step[98/526], Loss: 0.6903
Epoch [45/100], Step[99/526], Loss: 0.6860
Epoch [45/100], Step[100/526], Loss: 0.6639
Epoch [45/100], Step[101/526], Loss: 0.6574
Epoch [45/100], Step[102/526], Loss: 0.6329
Epoch [45/100], Step[103/526], Loss: 0.7075
Epoch [45/100], Step[104/526], Loss: 0.6514
Epoch [45/100], Step[105/526], Loss: 0.6375
Epoch [45/100], Step[106/526], Loss: 0.6901
Epoch [45/100], Step[107/526], Loss: 0.6357
Epoch [45/100], Step[108/526], Loss: 0.5765
Epoch [45/100], Step[109/526], Loss: 0.6698
Epoch [45/100], Step[110/526], Loss: 0.6825
Epoch [45/100], Step[111/526], Loss: 0.5922
Epoch [45/100], Step[112/526], Loss: 0.7351
Epoch [45/100], Step[113/526], Loss: 0.6055
Epoch [45/100], Step[114/526], Loss: 0.6589
Epoch [45/100], Step[115/526], Loss: 0.5982
Epoch [45/100], Step[116/526], Loss: 0.6262
Epoch [45/100], Step[117/526], Loss: 0.6628
Epoch [45/100], Step[118/526], Loss: 0.7587
Epoch [45/100], Step[119/526], Loss: 0.6777
Epoch [45/100], Step[120/526], Loss: 0.6793
Epoch [45/100], Step[121/526], Loss: 0.6918
Epoch [45/100], Step[122/526], Loss: 0.6253
Epoch [45/100], Step[123/526], Loss: 0.6462
Epoch [45/100], Step[124/526], Loss: 0.6715
Epoch [45/100], Step[125/526], Loss: 0.6333
Epoch [45/100], Step[126/526], Loss: 0.7211
Epoch [45/100], Step[127/526], Loss: 0.6750
Epoch [45/100], Step[128/526], Loss: 0.6429
Epoch [45/100], Step[129/526], Loss: 0.5942
Epoch [45/100], Step[130/526], Loss: 0.6114
Epoch [45/100], Step[131/526], Loss: 0.6677
Epoch [45/100], Step[132/526], Loss: 0.7175
Epoch [45/100], Step[133/526], Loss: 0.6740
Epoch [45/100], Step[134/526], Loss: 0.6296
Epoch [45/100], Step[135/526], Loss: 0.6429
Epoch [45/100], Step[136/526], Loss: 0.5649
Epoch [45/100], Step[137/526], Loss: 0.6421
Epoch [45/100], Step[138/526], Loss: 0.6486
Epoch [45/100], Step[139/526], Loss: 0.7060
Epoch [45/100], Step[140/526], Loss: 0.5906
Epoch [45/100], Step[141/526], Loss: 0.6808
Epoch [45/100], Step[142/526], Loss: 0.6626
Epoch [45/100], Step[143/526], Loss: 0.6890
Epoch [45/100], Step[144/526], Loss: 0.7814
Epoch [45/100], Step[145/526], Loss: 0.5489
Epoch [45/100], Step[146/526], Loss: 0.5091
Epoch [45/100], Step[147/526], Loss: 0.4525
Epoch [45/100], Step[148/526], Loss: 0.5972
Epoch [45/100], Step[149/526], Loss: 0.4964
Epoch [45/100], Step[150/526], Loss: 0.5725
Epoch [45/100], Step[151/526], Loss: 0.5530
Epoch [45/100], Step[152/526], Loss: 0.6197
Epoch [45/100], Step[153/526], Loss: 0.6305
Epoch [45/100], Step[154/526], Loss: 0.7196
Epoch [45/100], Step[155/526], Loss: 0.7130
Epoch [45/100], Step[156/526], Loss: 0.5302
Epoch [45/100], Step[157/526], Loss: 0.2674
Epoch [45/100], Step[158/526], Loss: 0.5941
Epoch [45/100], Step[159/526], Loss: 0.6667
Epoch [45/100], Step[160/526], Loss: 0.5486
Epoch [45/100], Step[161/526], Loss: 0.9489
Epoch [45/100], Step[162/526], Loss: 0.6955
Epoch [45/100], Step[163/526], Loss: 0.7164
Epoch [45/100], Step[164/526], Loss: 0.6210
Epoch [45/100], Step[165/526], Loss: 0.7077
Epoch [45/100], Step[166/526], Loss: 0.5004
Epoch [45/100], Step[167/526], Loss: 0.5493
Epoch [45/100], Step[168/526], Loss: 0.6897
Epoch [45/100], Step[169/526], Loss: 0.7525
Epoch [45/100], Step[170/526], Loss: 0.7033
Epoch [45/100], Step[171/526], Loss: 0.7302
Epoch [45/100], Step[172/526], Loss: 0.7114
Epoch [45/100], Step[173/526], Loss: 0.8192
Epoch [45/100], Step[174/526], Loss: 0.6142
Epoch [45/100], Step[175/526], Loss: 0.6619
Epoch [45/100], Step[176/526], Loss: 0.6212
Epoch [45/100], Step[177/526], Loss: 0.6612
Epoch [45/100], Step[178/526], Loss: 0.6882
Epoch [45/100], Step[179/526], Loss: 0.6284
Epoch [45/100], Step[180/526], Loss: 0.6753
Epoch [45/100], Step[181/526], Loss: 0.6419
Epoch [45/100], Step[182/526], Loss: 0.6750
Epoch [45/100], Step[183/526], Loss: 0.5268
Epoch [45/100], Step[184/526], Loss: 0.5920
Epoch [45/100], Step[185/526], Loss: 0.5860
Epoch [45/100], Step[186/526], Loss: 0.6949
Epoch [45/100], Step[187/526], Loss: 0.7557
Epoch [45/100], Step[188/526], Loss: 0.7101
Epoch [45/100], Step[189/526], Loss: 0.6868
Epoch [45/100], Step[190/526], Loss: 0.6374
Epoch [45/100], Step[191/526], Loss: 0.7197
Epoch [45/100], Step[192/526], Loss: 0.8184
Epoch [45/100], Step[193/526], Loss: 0.6535
Epoch [45/100], Step[194/526], Loss: 0.6224
Epoch [45/100], Step[195/526], Loss: 0.6501
Epoch [45/100], Step[196/526], Loss: 0.7249
Epoch [45/100], Step[197/526], Loss: 0.6758
Epoch [45/100], Step[198/526], Loss: 0.6331
Epoch [45/100], Step[199/526], Loss: 0.7214
Epoch [45/100], Step[200/526], Loss: 0.6709
Epoch [45/100], Step[201/526], Loss: 0.6746
Epoch [45/100], Step[202/526], Loss: 0.7418
Epoch [45/100], Step[203/526], Loss: 0.7090
Epoch [45/100], Step[204/526], Loss: 0.7343
Epoch [45/100], Step[205/526], Loss: 0.7011
Epoch [45/100], Step[206/526], Loss: 0.6826
Epoch [45/100], Step[207/526], Loss: 0.7060
Epoch [45/100], Step[208/526], Loss: 0.6840
Epoch [45/100], Step[209/526], Loss: 0.6814
Epoch [45/100], Step[210/526], Loss: 0.7783
Epoch [45/100], Step[211/526], Loss: 0.6345
Epoch [45/100], Step[212/526], Loss: 0.6867
Epoch [45/100], Step[213/526], Loss: 0.7224
Epoch [45/100], Step[214/526], Loss: 0.7485
Epoch [45/100], Step[215/526], Loss: 0.6919
Epoch [45/100], Step[216/526], Loss: 0.6778
Epoch [45/100], Step[217/526], Loss: 0.6732
Epoch [45/100], Step[218/526], Loss: 0.7001
Epoch [45/100], Step[219/526], Loss: 0.6932
Epoch [45/100], Step[220/526], Loss: 0.7288
Epoch [45/100], Step[221/526], Loss: 0.6935
Epoch [45/100], Step[222/526], Loss: 0.7443
Epoch [45/100], Step[223/526], Loss: 0.6798
Epoch [45/100], Step[224/526], Loss: 0.6834
Epoch [45/100], Step[225/526], Loss: 0.7226
Epoch [45/100], Step[226/526], Loss: 0.6757
Epoch [45/100], Step[227/526], Loss: 0.6697
Epoch [45/100], Step[228/526], Loss: 0.6633
Epoch [45/100], Step[229/526], Loss: 0.6886
Epoch [45/100], Step[230/526], Loss: 0.6614
Epoch [45/100], Step[231/526], Loss: 0.6671
Epoch [45/100], Step[232/526], Loss: 0.7103
Epoch [45/100], Step[233/526], Loss: 0.6837
Epoch [45/100], Step[234/526], Loss: 0.6793
Epoch [45/100], Step[235/526], Loss: 0.7035
Epoch [45/100], Step[236/526], Loss: 0.6942
Epoch [45/100], Step[237/526], Loss: 0.7180
Epoch [45/100], Step[238/526], Loss: 0.6842
Epoch [45/100], Step[239/526], Loss: 0.6702
Epoch [45/100], Step[240/526], Loss: 0.7298
Epoch [45/100], Step[241/526], Loss: 0.6975
Epoch [45/100], Step[242/526], Loss: 0.7109
Epoch [45/100], Step[243/526], Loss: 0.6333
Epoch [45/100], Step[244/526], Loss: 0.6531
Epoch [45/100], Step[245/526], Loss: 0.6425
Epoch [45/100], Step[246/526], Loss: 0.6644
Epoch [45/100], Step[247/526], Loss: 0.6223
Epoch [45/100], Step[248/526], Loss: 0.6557
Epoch [45/100], Step[249/526], Loss: 0.6668
Epoch [45/100], Step[250/526], Loss: 0.6812
Epoch [45/100], Step[251/526], Loss: 0.7021
Epoch [45/100], Step[252/526], Loss: 0.6939
Epoch [45/100], Step[253/526], Loss: 0.6324
Epoch [45/100], Step[254/526], Loss: 0.6645
Epoch [45/100], Step[255/526], Loss: 0.6041
Epoch [45/100], Step[256/526], Loss: 0.6892
Epoch [45/100], Step[257/526], Loss: 0.6717
Epoch [45/100], Step[258/526], Loss: 0.6292
Epoch [45/100], Step[259/526], Loss: 0.6840
Epoch [45/100], Step[260/526], Loss: 0.7408
Epoch [45/100], Step[261/526], Loss: 0.7497
Epoch [45/100], Step[262/526], Loss: 0.6806
Epoch [45/100], Step[263/526], Loss: 0.6656
Epoch [45/100], Step[264/526], Loss: 0.6480
Epoch [45/100], Step[265/526], Loss: 0.6373
Epoch [45/100], Step[266/526], Loss: 0.6402
Epoch [45/100], Step[267/526], Loss: 0.5008
Epoch [45/100], Step[268/526], Loss: 0.5465
Epoch [45/100], Step[269/526], Loss: 0.4554
Epoch [45/100], Step[270/526], Loss: 0.3861
Epoch [45/100], Step[271/526], Loss: 0.5136
Epoch [45/100], Step[272/526], Loss: 0.5327
Epoch [45/100], Step[273/526], Loss: 0.6309
Epoch [45/100], Step[274/526], Loss: 0.4337
Epoch [45/100], Step[275/526], Loss: 0.4185
Epoch [45/100], Step[276/526], Loss: 0.4656
Epoch [45/100], Step[277/526], Loss: 0.4219
Epoch [45/100], Step[278/526], Loss: 0.4539
Epoch [45/100], Step[279/526], Loss: 0.4035
Epoch [45/100], Step[280/526], Loss: 0.4453
Epoch [45/100], Step[281/526], Loss: 0.6254
Epoch [45/100], Step[282/526], Loss: 0.3575
Epoch [45/100], Step[283/526], Loss: 0.3637
Epoch [45/100], Step[284/526], Loss: 0.3966
Epoch [45/100], Step[285/526], Loss: 0.2740
Epoch [45/100], Step[286/526], Loss: 0.7005
Epoch [45/100], Step[287/526], Loss: 0.4781
Epoch [45/100], Step[288/526], Loss: 0.4344
Epoch [45/100], Step[289/526], Loss: 0.6174
Epoch [45/100], Step[290/526], Loss: 0.4212
Epoch [45/100], Step[291/526], Loss: 0.4821
Epoch [45/100], Step[292/526], Loss: 0.2524
Epoch [45/100], Step[293/526], Loss: 0.3065
Epoch [45/100], Step[294/526], Loss: 0.3194
Epoch [45/100], Step[295/526], Loss: 0.4212
Epoch [45/100], Step[296/526], Loss: 0.6251
Epoch [45/100], Step[297/526], Loss: 0.2901
Epoch [45/100], Step[298/526], Loss: 0.2847
Epoch [45/100], Step[299/526], Loss: 0.2359
Epoch [45/100], Step[300/526], Loss: 0.2907
Epoch [45/100], Step[301/526], Loss: 0.6163
Epoch [45/100], Step[302/526], Loss: 0.3197
Epoch [45/100], Step[303/526], Loss: 0.4730
Epoch [45/100], Step[304/526], Loss: 0.2564
Epoch [45/100], Step[305/526], Loss: 0.2591
Epoch [45/100], Step[306/526], Loss: 0.5806
Epoch [45/100], Step[307/526], Loss: 0.8924
Epoch [45/100], Step[308/526], Loss: 1.3207
Epoch [45/100], Step[309/526], Loss: 0.8480
Epoch [45/100], Step[310/526], Loss: 0.9636
Epoch [45/100], Step[311/526], Loss: 0.8200
Epoch [45/100], Step[312/526], Loss: 0.4909
Epoch [45/100], Step[313/526], Loss: 0.4838
Epoch [45/100], Step[314/526], Loss: 0.6516
Epoch [45/100], Step[315/526], Loss: 0.7003
Epoch [45/100], Step[316/526], Loss: 0.4919
Epoch [45/100], Step[317/526], Loss: 0.3246
Epoch [45/100], Step[318/526], Loss: 0.7676
Epoch [45/100], Step[319/526], Loss: 0.3548
Epoch [45/100], Step[320/526], Loss: 0.6136
Epoch [45/100], Step[321/526], Loss: 0.7073
Epoch [45/100], Step[322/526], Loss: 0.2674
Epoch [45/100], Step[323/526], Loss: 0.6151
Epoch [45/100], Step[324/526], Loss: 0.6545
Epoch [45/100], Step[325/526], Loss: 0.5803
Epoch [45/100], Step[326/526], Loss: 0.7589
Epoch [45/100], Step[327/526], Loss: 0.7284
Epoch [45/100], Step[328/526], Loss: 0.9302
Epoch [45/100], Step[329/526], Loss: 1.2711
Epoch [45/100], Step[330/526], Loss: 1.0337
Epoch [45/100], Step[331/526], Loss: 0.7889
Epoch [45/100], Step[332/526], Loss: 0.8309
Epoch [45/100], Step[333/526], Loss: 0.7780
Epoch [45/100], Step[334/526], Loss: 0.7703
Epoch [45/100], Step[335/526], Loss: 0.7927
Epoch [45/100], Step[336/526], Loss: 0.6940
Epoch [45/100], Step[337/526], Loss: 0.5929
Epoch [45/100], Step[338/526], Loss: 0.7069
Epoch [45/100], Step[339/526], Loss: 0.6423
Epoch [45/100], Step[340/526], Loss: 0.7240
Epoch [45/100], Step[341/526], Loss: 0.7741
Epoch [45/100], Step[342/526], Loss: 0.7867
Epoch [45/100], Step[343/526], Loss: 0.5400
Epoch [45/100], Step[344/526], Loss: 0.7320
Epoch [45/100], Step[345/526], Loss: 0.6497
Epoch [45/100], Step[346/526], Loss: 0.6723
Epoch [45/100], Step[347/526], Loss: 0.7091
Epoch [45/100], Step[348/526], Loss: 0.6332
Epoch [45/100], Step[349/526], Loss: 0.5757
Epoch [45/100], Step[350/526], Loss: 0.6740
Epoch [45/100], Step[351/526], Loss: 0.7179
Epoch [45/100], Step[352/526], Loss: 0.6104
Epoch [45/100], Step[353/526], Loss: 0.6882
Epoch [45/100], Step[354/526], Loss: 0.6703
Epoch [45/100], Step[355/526], Loss: 0.6738
Epoch [45/100], Step[356/526], Loss: 0.7050
Epoch [45/100], Step[357/526], Loss: 0.6586
Epoch [45/100], Step[358/526], Loss: 0.6967
Epoch [45/100], Step[359/526], Loss: 0.6558
Epoch [45/100], Step[360/526], Loss: 0.6779
Epoch [45/100], Step[361/526], Loss: 0.7293
Epoch [45/100], Step[362/526], Loss: 0.7049
Epoch [45/100], Step[363/526], Loss: 0.6926
Epoch [45/100], Step[364/526], Loss: 0.7130
Epoch [45/100], Step[365/526], Loss: 0.7150
Epoch [45/100], Step[366/526], Loss: 0.6870
Epoch [45/100], Step[367/526], Loss: 0.6895
Epoch [45/100], Step[368/526], Loss: 0.6486
Epoch [45/100], Step[369/526], Loss: 0.6561
Epoch [45/100], Step[370/526], Loss: 0.6305
Epoch [45/100], Step[371/526], Loss: 0.7346
Epoch [45/100], Step[372/526], Loss: 0.6436
Epoch [45/100], Step[373/526], Loss: 0.6755
Epoch [45/100], Step[374/526], Loss: 0.7032
Epoch [45/100], Step[375/526], Loss: 0.6484
Epoch [45/100], Step[376/526], Loss: 0.6577
Epoch [45/100], Step[377/526], Loss: 0.6862
Epoch [45/100], Step[378/526], Loss: 0.6905
Epoch [45/100], Step[379/526], Loss: 0.7471
Epoch [45/100], Step[380/526], Loss: 0.6115
Epoch [45/100], Step[381/526], Loss: 0.5928
Epoch [45/100], Step[382/526], Loss: 0.6704
Epoch [45/100], Step[383/526], Loss: 0.6956
Epoch [45/100], Step[384/526], Loss: 0.6345
Epoch [45/100], Step[385/526], Loss: 0.6273
Epoch [45/100], Step[386/526], Loss: 0.6617
Epoch [45/100], Step[387/526], Loss: 0.6565
Epoch [45/100], Step[388/526], Loss: 0.5939
Epoch [45/100], Step[389/526], Loss: 0.7189
Epoch [45/100], Step[390/526], Loss: 0.5841
Epoch [45/100], Step[391/526], Loss: 0.6527
Epoch [45/100], Step[392/526], Loss: 0.6999
Epoch [45/100], Step[393/526], Loss: 0.5850
Epoch [45/100], Step[394/526], Loss: 0.5109
Epoch [45/100], Step[395/526], Loss: 0.6110
Epoch [45/100], Step[396/526], Loss: 0.6302
Epoch [45/100], Step[397/526], Loss: 0.4676
Epoch [45/100], Step[398/526], Loss: 0.5990
Epoch [45/100], Step[399/526], Loss: 0.6507
Epoch [45/100], Step[400/526], Loss: 0.4691
Epoch [45/100], Step[401/526], Loss: 0.5961
Epoch [45/100], Step[402/526], Loss: 0.6366
Epoch [45/100], Step[403/526], Loss: 0.7382
Epoch [45/100], Step[404/526], Loss: 0.4801
Epoch [45/100], Step[405/526], Loss: 0.5006
Epoch [45/100], Step[406/526], Loss: 0.6318
Epoch [45/100], Step[407/526], Loss: 0.7527
Epoch [45/100], Step[408/526], Loss: 0.6511
Epoch [45/100], Step[409/526], Loss: 0.4649
Epoch [45/100], Step[410/526], Loss: 0.4912
Epoch [45/100], Step[411/526], Loss: 0.5356
Epoch [45/100], Step[412/526], Loss: 0.5921
Epoch [45/100], Step[413/526], Loss: 0.5947
Epoch [45/100], Step[414/526], Loss: 0.6375
Epoch [45/100], Step[415/526], Loss: 0.6100
Epoch [45/100], Step[416/526], Loss: 0.5440
Epoch [45/100], Step[417/526], Loss: 0.4539
Epoch [45/100], Step[418/526], Loss: 0.7445
Epoch [45/100], Step[419/526], Loss: 0.6829
Epoch [45/100], Step[420/526], Loss: 0.6835
Epoch [45/100], Step[421/526], Loss: 0.6373
Epoch [45/100], Step[422/526], Loss: 0.7798
Epoch [45/100], Step[423/526], Loss: 0.7017
Epoch [45/100], Step[424/526], Loss: 0.7426
Epoch [45/100], Step[425/526], Loss: 0.7028
Epoch [45/100], Step[426/526], Loss: 0.7615
Epoch [45/100], Step[427/526], Loss: 0.7070
Epoch [45/100], Step[428/526], Loss: 0.7148
Epoch [45/100], Step[429/526], Loss: 0.7274
Epoch [45/100], Step[430/526], Loss: 0.7922
Epoch [45/100], Step[431/526], Loss: 0.7043
Epoch [45/100], Step[432/526], Loss: 0.7292
Epoch [45/100], Step[433/526], Loss: 0.6744
Epoch [45/100], Step[434/526], Loss: 0.6116
Epoch [45/100], Step[435/526], Loss: 0.7769
Epoch [45/100], Step[436/526], Loss: 0.8093
Epoch [45/100], Step[437/526], Loss: 0.4940
Epoch [45/100], Step[438/526], Loss: 0.3653
Epoch [45/100], Step[439/526], Loss: 0.7236
Epoch [45/100], Step[440/526], Loss: 0.6855
Epoch [45/100], Step[441/526], Loss: 0.6940
Epoch [45/100], Step[442/526], Loss: 0.6422
Epoch [45/100], Step[443/526], Loss: 0.6717
Epoch [45/100], Step[444/526], Loss: 0.7523
Epoch [45/100], Step[445/526], Loss: 0.7038
Epoch [45/100], Step[446/526], Loss: 0.7134
Epoch [45/100], Step[447/526], Loss: 0.7163
Epoch [45/100], Step[448/526], Loss: 0.7198
Epoch [45/100], Step[449/526], Loss: 0.6713
Epoch [45/100], Step[450/526], Loss: 0.6059
Epoch [45/100], Step[451/526], Loss: 0.6623
Epoch [45/100], Step[452/526], Loss: 0.7254
Epoch [45/100], Step[453/526], Loss: 0.7034
Epoch [45/100], Step[454/526], Loss: 0.8255
Epoch [45/100], Step[455/526], Loss: 0.6578
Epoch [45/100], Step[456/526], Loss: 0.6340
Epoch [45/100], Step[457/526], Loss: 0.7038
Epoch [45/100], Step[458/526], Loss: 0.6680
Epoch [45/100], Step[459/526], Loss: 0.6631
Epoch [45/100], Step[460/526], Loss: 0.6415
Epoch [45/100], Step[461/526], Loss: 0.6114
Epoch [45/100], Step[462/526], Loss: 0.6759
Epoch [45/100], Step[463/526], Loss: 0.6496
Epoch [45/100], Step[464/526], Loss: 0.6405
Epoch [45/100], Step[465/526], Loss: 0.6604
Epoch [45/100], Step[466/526], Loss: 0.6587
Epoch [45/100], Step[467/526], Loss: 0.6526
Epoch [45/100], Step[468/526], Loss: 0.6180
Epoch [45/100], Step[469/526], Loss: 0.8067
Epoch [45/100], Step[470/526], Loss: 0.6571
Epoch [45/100], Step[471/526], Loss: 0.6940
Epoch [45/100], Step[472/526], Loss: 0.6707
Epoch [45/100], Step[473/526], Loss: 0.6803
Epoch [45/100], Step[474/526], Loss: 0.6771
Epoch [45/100], Step[475/526], Loss: 0.8412
Epoch [45/100], Step[476/526], Loss: 0.7462
Epoch [45/100], Step[477/526], Loss: 0.6967
Epoch [45/100], Step[478/526], Loss: 0.6729
Epoch [45/100], Step[479/526], Loss: 0.6600
Epoch [45/100], Step[480/526], Loss: 0.7338
Epoch [45/100], Step[481/526], Loss: 0.7292
Epoch [45/100], Step[482/526], Loss: 0.6203
Epoch [45/100], Step[483/526], Loss: 0.5424
Epoch [45/100], Step[484/526], Loss: 0.6913
Epoch [45/100], Step[485/526], Loss: 0.7529
Epoch [45/100], Step[486/526], Loss: 0.7273
Epoch [45/100], Step[487/526], Loss: 0.7266
Epoch [45/100], Step[488/526], Loss: 0.7069
Epoch [45/100], Step[489/526], Loss: 0.6504
Epoch [45/100], Step[490/526], Loss: 0.6132
Epoch [45/100], Step[491/526], Loss: 0.7004
Epoch [45/100], Step[492/526], Loss: 0.6313
Epoch [45/100], Step[493/526], Loss: 0.6421
Epoch [45/100], Step[494/526], Loss: 0.6650
Epoch [45/100], Step[495/526], Loss: 0.6897
Epoch [45/100], Step[496/526], Loss: 0.6646
Epoch [45/100], Step[497/526], Loss: 0.6364
Epoch [45/100], Step[498/526], Loss: 0.6753
Epoch [45/100], Step[499/526], Loss: 0.6696
Epoch [45/100], Step[500/526], Loss: 0.6848
Epoch [45/100], Step[501/526], Loss: 0.6583
Epoch [45/100], Step[502/526], Loss: 0.7006
Epoch [45/100], Step[503/526], Loss: 0.7152
Epoch [45/100], Step[504/526], Loss: 0.6983
Epoch [45/100], Step[505/526], Loss: 0.7119
Epoch [45/100], Step[506/526], Loss: 0.6810
Epoch [45/100], Step[507/526], Loss: 0.6690
Epoch [45/100], Step[508/526], Loss: 0.7042
Epoch [45/100], Step[509/526], Loss: 0.6565
Epoch [45/100], Step[510/526], Loss: 0.7036
Epoch [45/100], Step[511/526], Loss: 0.6474
Epoch [45/100], Step[512/526], Loss: 0.6731
Epoch [45/100], Step[513/526], Loss: 0.6436
Epoch [45/100], Step[514/526], Loss: 0.6552
Epoch [45/100], Step[515/526], Loss: 0.5746
Epoch [45/100], Step[516/526], Loss: 0.7530
Epoch [45/100], Step[517/526], Loss: 0.6870
Epoch [45/100], Step[518/526], Loss: 0.7331
Epoch [45/100], Step[519/526], Loss: 0.7137
Epoch [45/100], Step[520/526], Loss: 0.7150
Epoch [45/100], Step[521/526], Loss: 0.6709
Epoch [45/100], Step[522/526], Loss: 0.6072
Epoch [45/100], Step[523/526], Loss: 0.6553
Epoch [45/100], Step[524/526], Loss: 0.6508
Epoch [45/100], Step[525/526], Loss: 0.7417
Epoch [45/100], Step[526/526], Loss: 0.7071
Epoch [46/100], Step[1/526], Loss: 0.6595
Epoch [46/100], Step[2/526], Loss: 0.6449
Epoch [46/100], Step[3/526], Loss: 0.6850
Epoch [46/100], Step[4/526], Loss: 0.6323
Epoch [46/100], Step[5/526], Loss: 0.7382
Epoch [46/100], Step[6/526], Loss: 0.7480
Epoch [46/100], Step[7/526], Loss: 0.6973
Epoch [46/100], Step[8/526], Loss: 0.6802
Epoch [46/100], Step[9/526], Loss: 0.7086
Epoch [46/100], Step[10/526], Loss: 0.6749
Epoch [46/100], Step[11/526], Loss: 0.6683
Epoch [46/100], Step[12/526], Loss: 0.7197
Epoch [46/100], Step[13/526], Loss: 0.6311
Epoch [46/100], Step[14/526], Loss: 0.6625
Epoch [46/100], Step[15/526], Loss: 0.6860
Epoch [46/100], Step[16/526], Loss: 0.7046
Epoch [46/100], Step[17/526], Loss: 0.7109
Epoch [46/100], Step[18/526], Loss: 0.6849
Epoch [46/100], Step[19/526], Loss: 0.6767
Epoch [46/100], Step[20/526], Loss: 0.7087
Epoch [46/100], Step[21/526], Loss: 0.7535
Epoch [46/100], Step[22/526], Loss: 0.7291
Epoch [46/100], Step[23/526], Loss: 0.7368
Epoch [46/100], Step[24/526], Loss: 0.7133
Epoch [46/100], Step[25/526], Loss: 0.6909
Epoch [46/100], Step[26/526], Loss: 0.6371
Epoch [46/100], Step[27/526], Loss: 0.6846
Epoch [46/100], Step[28/526], Loss: 0.6872
Epoch [46/100], Step[29/526], Loss: 0.6547
Epoch [46/100], Step[30/526], Loss: 0.6926
Epoch [46/100], Step[31/526], Loss: 0.7028
Epoch [46/100], Step[32/526], Loss: 0.6662
Epoch [46/100], Step[33/526], Loss: 0.7062
Epoch [46/100], Step[34/526], Loss: 0.6949
Epoch [46/100], Step[35/526], Loss: 0.7101
Epoch [46/100], Step[36/526], Loss: 0.6972
Epoch [46/100], Step[37/526], Loss: 0.6916
Epoch [46/100], Step[38/526], Loss: 0.7122
Epoch [46/100], Step[39/526], Loss: 0.6929
Epoch [46/100], Step[40/526], Loss: 0.7167
Epoch [46/100], Step[41/526], Loss: 0.6602
Epoch [46/100], Step[42/526], Loss: 0.7277
Epoch [46/100], Step[43/526], Loss: 0.7184
Epoch [46/100], Step[44/526], Loss: 0.6858
Epoch [46/100], Step[45/526], Loss: 0.6912
Epoch [46/100], Step[46/526], Loss: 0.6891
Epoch [46/100], Step[47/526], Loss: 0.7060
Epoch [46/100], Step[48/526], Loss: 0.7263
Epoch [46/100], Step[49/526], Loss: 0.7047
Epoch [46/100], Step[50/526], Loss: 0.7093
Epoch [46/100], Step[51/526], Loss: 0.6942
Epoch [46/100], Step[52/526], Loss: 0.6758
Epoch [46/100], Step[53/526], Loss: 0.7179
Epoch [46/100], Step[54/526], Loss: 0.7026
Epoch [46/100], Step[55/526], Loss: 0.6920
Epoch [46/100], Step[56/526], Loss: 0.6990
Epoch [46/100], Step[57/526], Loss: 0.6837
Epoch [46/100], Step[58/526], Loss: 0.6738
Epoch [46/100], Step[59/526], Loss: 0.6541
Epoch [46/100], Step[60/526], Loss: 0.6688
Epoch [46/100], Step[61/526], Loss: 0.6507
Epoch [46/100], Step[62/526], Loss: 0.6982
Epoch [46/100], Step[63/526], Loss: 0.6879
Epoch [46/100], Step[64/526], Loss: 0.6824
Epoch [46/100], Step[65/526], Loss: 0.7239
Epoch [46/100], Step[66/526], Loss: 0.6837
Epoch [46/100], Step[67/526], Loss: 0.6559
Epoch [46/100], Step[68/526], Loss: 0.6495
Epoch [46/100], Step[69/526], Loss: 0.6956
Epoch [46/100], Step[70/526], Loss: 0.6830
Epoch [46/100], Step[71/526], Loss: 0.6678
Epoch [46/100], Step[72/526], Loss: 0.6831
Epoch [46/100], Step[73/526], Loss: 0.7125
Epoch [46/100], Step[74/526], Loss: 0.6614
Epoch [46/100], Step[75/526], Loss: 0.7037
Epoch [46/100], Step[76/526], Loss: 0.6897
Epoch [46/100], Step[77/526], Loss: 0.6958
Epoch [46/100], Step[78/526], Loss: 0.7084
Epoch [46/100], Step[79/526], Loss: 0.6920
Epoch [46/100], Step[80/526], Loss: 0.6900
Epoch [46/100], Step[81/526], Loss: 0.7034
Epoch [46/100], Step[82/526], Loss: 0.7250
Epoch [46/100], Step[83/526], Loss: 0.7054
Epoch [46/100], Step[84/526], Loss: 0.6970
Epoch [46/100], Step[85/526], Loss: 0.6636
Epoch [46/100], Step[86/526], Loss: 0.7030
Epoch [46/100], Step[87/526], Loss: 0.6876
Epoch [46/100], Step[88/526], Loss: 0.6901
Epoch [46/100], Step[89/526], Loss: 0.7218
Epoch [46/100], Step[90/526], Loss: 0.6839
Epoch [46/100], Step[91/526], Loss: 0.6850
Epoch [46/100], Step[92/526], Loss: 0.6813
Epoch [46/100], Step[93/526], Loss: 0.6902
Epoch [46/100], Step[94/526], Loss: 0.8004
Epoch [46/100], Step[95/526], Loss: 0.7169
Epoch [46/100], Step[96/526], Loss: 0.6260
Epoch [46/100], Step[97/526], Loss: 0.5941
Epoch [46/100], Step[98/526], Loss: 0.6898
Epoch [46/100], Step[99/526], Loss: 0.6858
Epoch [46/100], Step[100/526], Loss: 0.6645
Epoch [46/100], Step[101/526], Loss: 0.6574
Epoch [46/100], Step[102/526], Loss: 0.6329
Epoch [46/100], Step[103/526], Loss: 0.7061
Epoch [46/100], Step[104/526], Loss: 0.6519
Epoch [46/100], Step[105/526], Loss: 0.6372
Epoch [46/100], Step[106/526], Loss: 0.6905
Epoch [46/100], Step[107/526], Loss: 0.6357
Epoch [46/100], Step[108/526], Loss: 0.5770
Epoch [46/100], Step[109/526], Loss: 0.6692
Epoch [46/100], Step[110/526], Loss: 0.6831
Epoch [46/100], Step[111/526], Loss: 0.5909
Epoch [46/100], Step[112/526], Loss: 0.7366
Epoch [46/100], Step[113/526], Loss: 0.6050
Epoch [46/100], Step[114/526], Loss: 0.6575
Epoch [46/100], Step[115/526], Loss: 0.5971
Epoch [46/100], Step[116/526], Loss: 0.6276
Epoch [46/100], Step[117/526], Loss: 0.6645
Epoch [46/100], Step[118/526], Loss: 0.7603
Epoch [46/100], Step[119/526], Loss: 0.6786
Epoch [46/100], Step[120/526], Loss: 0.6811
Epoch [46/100], Step[121/526], Loss: 0.6934
Epoch [46/100], Step[122/526], Loss: 0.6247
Epoch [46/100], Step[123/526], Loss: 0.6458
Epoch [46/100], Step[124/526], Loss: 0.6714
Epoch [46/100], Step[125/526], Loss: 0.6334
Epoch [46/100], Step[126/526], Loss: 0.7217
Epoch [46/100], Step[127/526], Loss: 0.6745
Epoch [46/100], Step[128/526], Loss: 0.6433
Epoch [46/100], Step[129/526], Loss: 0.5952
Epoch [46/100], Step[130/526], Loss: 0.6127
Epoch [46/100], Step[131/526], Loss: 0.6684
Epoch [46/100], Step[132/526], Loss: 0.7171
Epoch [46/100], Step[133/526], Loss: 0.6753
Epoch [46/100], Step[134/526], Loss: 0.6306
Epoch [46/100], Step[135/526], Loss: 0.6429
Epoch [46/100], Step[136/526], Loss: 0.5652
Epoch [46/100], Step[137/526], Loss: 0.6454
Epoch [46/100], Step[138/526], Loss: 0.6498
Epoch [46/100], Step[139/526], Loss: 0.7036
Epoch [46/100], Step[140/526], Loss: 0.5932
Epoch [46/100], Step[141/526], Loss: 0.6803
Epoch [46/100], Step[142/526], Loss: 0.6636
Epoch [46/100], Step[143/526], Loss: 0.6886
Epoch [46/100], Step[144/526], Loss: 0.7781
Epoch [46/100], Step[145/526], Loss: 0.5499
Epoch [46/100], Step[146/526], Loss: 0.5098
Epoch [46/100], Step[147/526], Loss: 0.4547
Epoch [46/100], Step[148/526], Loss: 0.5969
Epoch [46/100], Step[149/526], Loss: 0.4988
Epoch [46/100], Step[150/526], Loss: 0.5734
Epoch [46/100], Step[151/526], Loss: 0.5553
Epoch [46/100], Step[152/526], Loss: 0.6214
Epoch [46/100], Step[153/526], Loss: 0.6321
Epoch [46/100], Step[154/526], Loss: 0.7201
Epoch [46/100], Step[155/526], Loss: 0.7159
Epoch [46/100], Step[156/526], Loss: 0.5327
Epoch [46/100], Step[157/526], Loss: 0.2677
Epoch [46/100], Step[158/526], Loss: 0.6023
Epoch [46/100], Step[159/526], Loss: 0.6686
Epoch [46/100], Step[160/526], Loss: 0.5514
Epoch [46/100], Step[161/526], Loss: 0.9385
Epoch [46/100], Step[162/526], Loss: 0.6981
Epoch [46/100], Step[163/526], Loss: 0.7132
Epoch [46/100], Step[164/526], Loss: 0.6216
Epoch [46/100], Step[165/526], Loss: 0.7156
Epoch [46/100], Step[166/526], Loss: 0.5019
Epoch [46/100], Step[167/526], Loss: 0.5439
Epoch [46/100], Step[168/526], Loss: 0.6875
Epoch [46/100], Step[169/526], Loss: 0.7497
Epoch [46/100], Step[170/526], Loss: 0.7031
Epoch [46/100], Step[171/526], Loss: 0.7277
Epoch [46/100], Step[172/526], Loss: 0.7097
Epoch [46/100], Step[173/526], Loss: 0.8163
Epoch [46/100], Step[174/526], Loss: 0.6169
Epoch [46/100], Step[175/526], Loss: 0.6615
Epoch [46/100], Step[176/526], Loss: 0.6206
Epoch [46/100], Step[177/526], Loss: 0.6601
Epoch [46/100], Step[178/526], Loss: 0.6875
Epoch [46/100], Step[179/526], Loss: 0.6271
Epoch [46/100], Step[180/526], Loss: 0.6747
Epoch [46/100], Step[181/526], Loss: 0.6425
Epoch [46/100], Step[182/526], Loss: 0.6751
Epoch [46/100], Step[183/526], Loss: 0.5314
Epoch [46/100], Step[184/526], Loss: 0.5932
Epoch [46/100], Step[185/526], Loss: 0.5952
Epoch [46/100], Step[186/526], Loss: 0.6511
Epoch [46/100], Step[187/526], Loss: 0.7445
Epoch [46/100], Step[188/526], Loss: 0.6985
Epoch [46/100], Step[189/526], Loss: 0.6808
Epoch [46/100], Step[190/526], Loss: 0.6481
Epoch [46/100], Step[191/526], Loss: 0.7206
Epoch [46/100], Step[192/526], Loss: 0.8307
Epoch [46/100], Step[193/526], Loss: 0.6535
Epoch [46/100], Step[194/526], Loss: 0.6195
Epoch [46/100], Step[195/526], Loss: 0.6461
Epoch [46/100], Step[196/526], Loss: 0.7333
Epoch [46/100], Step[197/526], Loss: 0.6904
Epoch [46/100], Step[198/526], Loss: 0.6374
Epoch [46/100], Step[199/526], Loss: 0.7337
Epoch [46/100], Step[200/526], Loss: 0.6773
Epoch [46/100], Step[201/526], Loss: 0.6755
Epoch [46/100], Step[202/526], Loss: 0.7442
Epoch [46/100], Step[203/526], Loss: 0.7052
Epoch [46/100], Step[204/526], Loss: 0.7253
Epoch [46/100], Step[205/526], Loss: 0.6988
Epoch [46/100], Step[206/526], Loss: 0.6834
Epoch [46/100], Step[207/526], Loss: 0.7111
Epoch [46/100], Step[208/526], Loss: 0.6829
Epoch [46/100], Step[209/526], Loss: 0.6822
Epoch [46/100], Step[210/526], Loss: 0.7617
Epoch [46/100], Step[211/526], Loss: 0.6322
Epoch [46/100], Step[212/526], Loss: 0.6869
Epoch [46/100], Step[213/526], Loss: 0.7227
Epoch [46/100], Step[214/526], Loss: 0.7442
Epoch [46/100], Step[215/526], Loss: 0.6937
Epoch [46/100], Step[216/526], Loss: 0.6779
Epoch [46/100], Step[217/526], Loss: 0.6748
Epoch [46/100], Step[218/526], Loss: 0.6988
Epoch [46/100], Step[219/526], Loss: 0.6919
Epoch [46/100], Step[220/526], Loss: 0.7250
Epoch [46/100], Step[221/526], Loss: 0.6939
Epoch [46/100], Step[222/526], Loss: 0.7395
Epoch [46/100], Step[223/526], Loss: 0.6801
Epoch [46/100], Step[224/526], Loss: 0.6836
Epoch [46/100], Step[225/526], Loss: 0.7207
Epoch [46/100], Step[226/526], Loss: 0.6760
Epoch [46/100], Step[227/526], Loss: 0.6706
Epoch [46/100], Step[228/526], Loss: 0.6648
Epoch [46/100], Step[229/526], Loss: 0.6886
Epoch [46/100], Step[230/526], Loss: 0.6636
Epoch [46/100], Step[231/526], Loss: 0.6674
Epoch [46/100], Step[232/526], Loss: 0.7074
Epoch [46/100], Step[233/526], Loss: 0.6848
Epoch [46/100], Step[234/526], Loss: 0.6778
Epoch [46/100], Step[235/526], Loss: 0.7032
Epoch [46/100], Step[236/526], Loss: 0.6949
Epoch [46/100], Step[237/526], Loss: 0.7155
Epoch [46/100], Step[238/526], Loss: 0.6823
Epoch [46/100], Step[239/526], Loss: 0.6691
Epoch [46/100], Step[240/526], Loss: 0.7264
Epoch [46/100], Step[241/526], Loss: 0.6969
Epoch [46/100], Step[242/526], Loss: 0.7077
Epoch [46/100], Step[243/526], Loss: 0.6336
Epoch [46/100], Step[244/526], Loss: 0.6531
Epoch [46/100], Step[245/526], Loss: 0.6436
Epoch [46/100], Step[246/526], Loss: 0.6642
Epoch [46/100], Step[247/526], Loss: 0.6241
Epoch [46/100], Step[248/526], Loss: 0.6573
Epoch [46/100], Step[249/526], Loss: 0.6676
Epoch [46/100], Step[250/526], Loss: 0.6821
Epoch [46/100], Step[251/526], Loss: 0.7030
Epoch [46/100], Step[252/526], Loss: 0.6940
Epoch [46/100], Step[253/526], Loss: 0.6331
Epoch [46/100], Step[254/526], Loss: 0.6637
Epoch [46/100], Step[255/526], Loss: 0.6051
Epoch [46/100], Step[256/526], Loss: 0.6883
Epoch [46/100], Step[257/526], Loss: 0.6709
Epoch [46/100], Step[258/526], Loss: 0.6282
Epoch [46/100], Step[259/526], Loss: 0.6845
Epoch [46/100], Step[260/526], Loss: 0.7425
Epoch [46/100], Step[261/526], Loss: 0.7495
Epoch [46/100], Step[262/526], Loss: 0.6807
Epoch [46/100], Step[263/526], Loss: 0.6651
Epoch [46/100], Step[264/526], Loss: 0.6494
Epoch [46/100], Step[265/526], Loss: 0.6343
Epoch [46/100], Step[266/526], Loss: 0.6381
Epoch [46/100], Step[267/526], Loss: 0.5011
Epoch [46/100], Step[268/526], Loss: 0.5437
Epoch [46/100], Step[269/526], Loss: 0.4533
Epoch [46/100], Step[270/526], Loss: 0.3835
Epoch [46/100], Step[271/526], Loss: 0.5120
Epoch [46/100], Step[272/526], Loss: 0.5335
Epoch [46/100], Step[273/526], Loss: 0.6305
Epoch [46/100], Step[274/526], Loss: 0.4312
Epoch [46/100], Step[275/526], Loss: 0.4176
Epoch [46/100], Step[276/526], Loss: 0.4642
Epoch [46/100], Step[277/526], Loss: 0.4217
Epoch [46/100], Step[278/526], Loss: 0.4531
Epoch [46/100], Step[279/526], Loss: 0.4028
Epoch [46/100], Step[280/526], Loss: 0.4449
Epoch [46/100], Step[281/526], Loss: 0.6262
Epoch [46/100], Step[282/526], Loss: 0.3574
Epoch [46/100], Step[283/526], Loss: 0.3641
Epoch [46/100], Step[284/526], Loss: 0.3967
Epoch [46/100], Step[285/526], Loss: 0.2738
Epoch [46/100], Step[286/526], Loss: 0.7012
Epoch [46/100], Step[287/526], Loss: 0.4783
Epoch [46/100], Step[288/526], Loss: 0.4340
Epoch [46/100], Step[289/526], Loss: 0.6180
Epoch [46/100], Step[290/526], Loss: 0.4214
Epoch [46/100], Step[291/526], Loss: 0.4830
Epoch [46/100], Step[292/526], Loss: 0.2529
Epoch [46/100], Step[293/526], Loss: 0.3065
Epoch [46/100], Step[294/526], Loss: 0.3190
Epoch [46/100], Step[295/526], Loss: 0.4212
Epoch [46/100], Step[296/526], Loss: 0.6260
Epoch [46/100], Step[297/526], Loss: 0.2909
Epoch [46/100], Step[298/526], Loss: 0.2847
Epoch [46/100], Step[299/526], Loss: 0.2363
Epoch [46/100], Step[300/526], Loss: 0.2903
Epoch [46/100], Step[301/526], Loss: 0.6155
Epoch [46/100], Step[302/526], Loss: 0.3196
Epoch [46/100], Step[303/526], Loss: 0.4735
Epoch [46/100], Step[304/526], Loss: 0.2572
Epoch [46/100], Step[305/526], Loss: 0.2594
Epoch [46/100], Step[306/526], Loss: 0.5807
Epoch [46/100], Step[307/526], Loss: 0.8913
Epoch [46/100], Step[308/526], Loss: 1.3189
Epoch [46/100], Step[309/526], Loss: 0.8379
Epoch [46/100], Step[310/526], Loss: 0.9627
Epoch [46/100], Step[311/526], Loss: 0.8197
Epoch [46/100], Step[312/526], Loss: 0.4904
Epoch [46/100], Step[313/526], Loss: 0.4832
Epoch [46/100], Step[314/526], Loss: 0.6527
Epoch [46/100], Step[315/526], Loss: 0.7008
Epoch [46/100], Step[316/526], Loss: 0.4923
Epoch [46/100], Step[317/526], Loss: 0.3250
Epoch [46/100], Step[318/526], Loss: 0.7687
Epoch [46/100], Step[319/526], Loss: 0.3546
Epoch [46/100], Step[320/526], Loss: 0.6147
Epoch [46/100], Step[321/526], Loss: 0.7060
Epoch [46/100], Step[322/526], Loss: 0.2671
Epoch [46/100], Step[323/526], Loss: 0.6151
Epoch [46/100], Step[324/526], Loss: 0.6544
Epoch [46/100], Step[325/526], Loss: 0.5811
Epoch [46/100], Step[326/526], Loss: 0.7584
Epoch [46/100], Step[327/526], Loss: 0.7283
Epoch [46/100], Step[328/526], Loss: 0.9306
Epoch [46/100], Step[329/526], Loss: 1.2732
Epoch [46/100], Step[330/526], Loss: 1.0364
Epoch [46/100], Step[331/526], Loss: 0.7892
Epoch [46/100], Step[332/526], Loss: 0.8314
Epoch [46/100], Step[333/526], Loss: 0.7787
Epoch [46/100], Step[334/526], Loss: 0.7742
Epoch [46/100], Step[335/526], Loss: 0.7940
Epoch [46/100], Step[336/526], Loss: 0.6957
Epoch [46/100], Step[337/526], Loss: 0.5933
Epoch [46/100], Step[338/526], Loss: 0.7076
Epoch [46/100], Step[339/526], Loss: 0.6433
Epoch [46/100], Step[340/526], Loss: 0.7244
Epoch [46/100], Step[341/526], Loss: 0.7764
Epoch [46/100], Step[342/526], Loss: 0.7889
Epoch [46/100], Step[343/526], Loss: 0.5396
Epoch [46/100], Step[344/526], Loss: 0.7335
Epoch [46/100], Step[345/526], Loss: 0.6500
Epoch [46/100], Step[346/526], Loss: 0.6698
Epoch [46/100], Step[347/526], Loss: 0.7092
Epoch [46/100], Step[348/526], Loss: 0.6335
Epoch [46/100], Step[349/526], Loss: 0.5743
Epoch [46/100], Step[350/526], Loss: 0.6740
Epoch [46/100], Step[351/526], Loss: 0.7189
Epoch [46/100], Step[352/526], Loss: 0.6096
Epoch [46/100], Step[353/526], Loss: 0.6892
Epoch [46/100], Step[354/526], Loss: 0.6710
Epoch [46/100], Step[355/526], Loss: 0.6740
Epoch [46/100], Step[356/526], Loss: 0.7034
Epoch [46/100], Step[357/526], Loss: 0.6587
Epoch [46/100], Step[358/526], Loss: 0.6981
Epoch [46/100], Step[359/526], Loss: 0.6574
Epoch [46/100], Step[360/526], Loss: 0.6784
Epoch [46/100], Step[361/526], Loss: 0.7308
Epoch [46/100], Step[362/526], Loss: 0.7049
Epoch [46/100], Step[363/526], Loss: 0.6927
Epoch [46/100], Step[364/526], Loss: 0.7125
Epoch [46/100], Step[365/526], Loss: 0.7133
Epoch [46/100], Step[366/526], Loss: 0.6873
Epoch [46/100], Step[367/526], Loss: 0.6900
Epoch [46/100], Step[368/526], Loss: 0.6489
Epoch [46/100], Step[369/526], Loss: 0.6588
Epoch [46/100], Step[370/526], Loss: 0.6252
Epoch [46/100], Step[371/526], Loss: 0.7342
Epoch [46/100], Step[372/526], Loss: 0.6420
Epoch [46/100], Step[373/526], Loss: 0.6754
Epoch [46/100], Step[374/526], Loss: 0.7045
Epoch [46/100], Step[375/526], Loss: 0.6487
Epoch [46/100], Step[376/526], Loss: 0.6652
Epoch [46/100], Step[377/526], Loss: 0.6866
Epoch [46/100], Step[378/526], Loss: 0.6905
Epoch [46/100], Step[379/526], Loss: 0.7473
Epoch [46/100], Step[380/526], Loss: 0.6132
Epoch [46/100], Step[381/526], Loss: 0.5926
Epoch [46/100], Step[382/526], Loss: 0.6706
Epoch [46/100], Step[383/526], Loss: 0.6960
Epoch [46/100], Step[384/526], Loss: 0.6335
Epoch [46/100], Step[385/526], Loss: 0.6259
Epoch [46/100], Step[386/526], Loss: 0.6627
Epoch [46/100], Step[387/526], Loss: 0.6559
Epoch [46/100], Step[388/526], Loss: 0.5967
Epoch [46/100], Step[389/526], Loss: 0.7164
Epoch [46/100], Step[390/526], Loss: 0.5778
Epoch [46/100], Step[391/526], Loss: 0.6520
Epoch [46/100], Step[392/526], Loss: 0.6991
Epoch [46/100], Step[393/526], Loss: 0.5850
Epoch [46/100], Step[394/526], Loss: 0.5101
Epoch [46/100], Step[395/526], Loss: 0.6074
Epoch [46/100], Step[396/526], Loss: 0.6301
Epoch [46/100], Step[397/526], Loss: 0.4658
Epoch [46/100], Step[398/526], Loss: 0.5971
Epoch [46/100], Step[399/526], Loss: 0.6515
Epoch [46/100], Step[400/526], Loss: 0.4681
Epoch [46/100], Step[401/526], Loss: 0.5961
Epoch [46/100], Step[402/526], Loss: 0.6345
Epoch [46/100], Step[403/526], Loss: 0.7449
Epoch [46/100], Step[404/526], Loss: 0.4799
Epoch [46/100], Step[405/526], Loss: 0.4996
Epoch [46/100], Step[406/526], Loss: 0.6329
Epoch [46/100], Step[407/526], Loss: 0.7536
Epoch [46/100], Step[408/526], Loss: 0.6494
Epoch [46/100], Step[409/526], Loss: 0.4672
Epoch [46/100], Step[410/526], Loss: 0.4895
Epoch [46/100], Step[411/526], Loss: 0.5347
Epoch [46/100], Step[412/526], Loss: 0.5907
Epoch [46/100], Step[413/526], Loss: 0.5922
Epoch [46/100], Step[414/526], Loss: 0.6371
Epoch [46/100], Step[415/526], Loss: 0.6088
Epoch [46/100], Step[416/526], Loss: 0.5440
Epoch [46/100], Step[417/526], Loss: 0.4521
Epoch [46/100], Step[418/526], Loss: 0.7483
Epoch [46/100], Step[419/526], Loss: 0.6836
Epoch [46/100], Step[420/526], Loss: 0.6829
Epoch [46/100], Step[421/526], Loss: 0.6375
Epoch [46/100], Step[422/526], Loss: 0.7801
Epoch [46/100], Step[423/526], Loss: 0.7011
Epoch [46/100], Step[424/526], Loss: 0.7426
Epoch [46/100], Step[425/526], Loss: 0.7036
Epoch [46/100], Step[426/526], Loss: 0.7617
Epoch [46/100], Step[427/526], Loss: 0.7074
Epoch [46/100], Step[428/526], Loss: 0.7145
Epoch [46/100], Step[429/526], Loss: 0.7278
Epoch [46/100], Step[430/526], Loss: 0.7837
Epoch [46/100], Step[431/526], Loss: 0.7045
Epoch [46/100], Step[432/526], Loss: 0.7289
Epoch [46/100], Step[433/526], Loss: 0.6759
Epoch [46/100], Step[434/526], Loss: 0.6118
Epoch [46/100], Step[435/526], Loss: 0.7762
Epoch [46/100], Step[436/526], Loss: 0.8028
Epoch [46/100], Step[437/526], Loss: 0.4921
Epoch [46/100], Step[438/526], Loss: 0.3654
Epoch [46/100], Step[439/526], Loss: 0.7234
Epoch [46/100], Step[440/526], Loss: 0.6872
Epoch [46/100], Step[441/526], Loss: 0.6847
Epoch [46/100], Step[442/526], Loss: 0.6425
Epoch [46/100], Step[443/526], Loss: 0.6717
Epoch [46/100], Step[444/526], Loss: 0.7520
Epoch [46/100], Step[445/526], Loss: 0.7006
Epoch [46/100], Step[446/526], Loss: 0.7142
Epoch [46/100], Step[447/526], Loss: 0.7142
Epoch [46/100], Step[448/526], Loss: 0.7225
Epoch [46/100], Step[449/526], Loss: 0.6718
Epoch [46/100], Step[450/526], Loss: 0.6007
Epoch [46/100], Step[451/526], Loss: 0.6625
Epoch [46/100], Step[452/526], Loss: 0.7253
Epoch [46/100], Step[453/526], Loss: 0.7012
Epoch [46/100], Step[454/526], Loss: 0.8256
Epoch [46/100], Step[455/526], Loss: 0.6569
Epoch [46/100], Step[456/526], Loss: 0.6408
Epoch [46/100], Step[457/526], Loss: 0.7207
Epoch [46/100], Step[458/526], Loss: 0.6763
Epoch [46/100], Step[459/526], Loss: 0.6570
Epoch [46/100], Step[460/526], Loss: 0.6374
Epoch [46/100], Step[461/526], Loss: 0.6122
Epoch [46/100], Step[462/526], Loss: 0.6757
Epoch [46/100], Step[463/526], Loss: 0.6491
Epoch [46/100], Step[464/526], Loss: 0.6544
Epoch [46/100], Step[465/526], Loss: 0.6572
Epoch [46/100], Step[466/526], Loss: 0.6616
Epoch [46/100], Step[467/526], Loss: 0.6467
Epoch [46/100], Step[468/526], Loss: 0.6175
Epoch [46/100], Step[469/526], Loss: 0.8062
Epoch [46/100], Step[470/526], Loss: 0.6579
Epoch [46/100], Step[471/526], Loss: 0.6862
Epoch [46/100], Step[472/526], Loss: 0.6724
Epoch [46/100], Step[473/526], Loss: 0.6747
Epoch [46/100], Step[474/526], Loss: 0.6769
Epoch [46/100], Step[475/526], Loss: 0.8492
Epoch [46/100], Step[476/526], Loss: 0.7450
Epoch [46/100], Step[477/526], Loss: 0.6957
Epoch [46/100], Step[478/526], Loss: 0.6719
Epoch [46/100], Step[479/526], Loss: 0.6602
Epoch [46/100], Step[480/526], Loss: 0.7382
Epoch [46/100], Step[481/526], Loss: 0.7288
Epoch [46/100], Step[482/526], Loss: 0.6219
Epoch [46/100], Step[483/526], Loss: 0.5399
Epoch [46/100], Step[484/526], Loss: 0.6931
Epoch [46/100], Step[485/526], Loss: 0.7498
Epoch [46/100], Step[486/526], Loss: 0.7265
Epoch [46/100], Step[487/526], Loss: 0.7194
Epoch [46/100], Step[488/526], Loss: 0.7039
Epoch [46/100], Step[489/526], Loss: 0.6414
Epoch [46/100], Step[490/526], Loss: 0.6130
Epoch [46/100], Step[491/526], Loss: 0.7001
Epoch [46/100], Step[492/526], Loss: 0.6310
Epoch [46/100], Step[493/526], Loss: 0.6421
Epoch [46/100], Step[494/526], Loss: 0.6645
Epoch [46/100], Step[495/526], Loss: 0.6902
Epoch [46/100], Step[496/526], Loss: 0.6664
Epoch [46/100], Step[497/526], Loss: 0.6340
Epoch [46/100], Step[498/526], Loss: 0.6748
Epoch [46/100], Step[499/526], Loss: 0.6692
Epoch [46/100], Step[500/526], Loss: 0.7081
Epoch [46/100], Step[501/526], Loss: 0.6564
Epoch [46/100], Step[502/526], Loss: 0.7020
Epoch [46/100], Step[503/526], Loss: 0.7144
Epoch [46/100], Step[504/526], Loss: 0.6989
Epoch [46/100], Step[505/526], Loss: 0.7112
Epoch [46/100], Step[506/526], Loss: 0.6808
Epoch [46/100], Step[507/526], Loss: 0.6694
Epoch [46/100], Step[508/526], Loss: 0.7035
Epoch [46/100], Step[509/526], Loss: 0.6540
Epoch [46/100], Step[510/526], Loss: 0.7043
Epoch [46/100], Step[511/526], Loss: 0.6445
Epoch [46/100], Step[512/526], Loss: 0.6712
Epoch [46/100], Step[513/526], Loss: 0.6444
Epoch [46/100], Step[514/526], Loss: 0.6549
Epoch [46/100], Step[515/526], Loss: 0.5743
Epoch [46/100], Step[516/526], Loss: 0.7532
Epoch [46/100], Step[517/526], Loss: 0.6882
Epoch [46/100], Step[518/526], Loss: 0.7324
Epoch [46/100], Step[519/526], Loss: 0.7143
Epoch [46/100], Step[520/526], Loss: 0.7188
Epoch [46/100], Step[521/526], Loss: 0.6708
Epoch [46/100], Step[522/526], Loss: 0.6055
Epoch [46/100], Step[523/526], Loss: 0.6553
Epoch [46/100], Step[524/526], Loss: 0.6495
Epoch [46/100], Step[525/526], Loss: 0.7444
Epoch [46/100], Step[526/526], Loss: 0.7053
Epoch [47/100], Step[1/526], Loss: 0.6587
Epoch [47/100], Step[2/526], Loss: 0.6427
Epoch [47/100], Step[3/526], Loss: 0.6806
Epoch [47/100], Step[4/526], Loss: 0.6318
Epoch [47/100], Step[5/526], Loss: 0.7384
Epoch [47/100], Step[6/526], Loss: 0.7484
Epoch [47/100], Step[7/526], Loss: 0.6978
Epoch [47/100], Step[8/526], Loss: 0.6812
Epoch [47/100], Step[9/526], Loss: 0.7095
Epoch [47/100], Step[10/526], Loss: 0.6757
Epoch [47/100], Step[11/526], Loss: 0.6676
Epoch [47/100], Step[12/526], Loss: 0.7213
Epoch [47/100], Step[13/526], Loss: 0.6299
Epoch [47/100], Step[14/526], Loss: 0.6621
Epoch [47/100], Step[15/526], Loss: 0.6866
Epoch [47/100], Step[16/526], Loss: 0.7045
Epoch [47/100], Step[17/526], Loss: 0.7106
Epoch [47/100], Step[18/526], Loss: 0.6859
Epoch [47/100], Step[19/526], Loss: 0.6770
Epoch [47/100], Step[20/526], Loss: 0.7096
Epoch [47/100], Step[21/526], Loss: 0.7534
Epoch [47/100], Step[22/526], Loss: 0.7289
Epoch [47/100], Step[23/526], Loss: 0.7376
Epoch [47/100], Step[24/526], Loss: 0.7136
Epoch [47/100], Step[25/526], Loss: 0.6917
Epoch [47/100], Step[26/526], Loss: 0.6376
Epoch [47/100], Step[27/526], Loss: 0.6845
Epoch [47/100], Step[28/526], Loss: 0.6869
Epoch [47/100], Step[29/526], Loss: 0.6557
Epoch [47/100], Step[30/526], Loss: 0.6910
Epoch [47/100], Step[31/526], Loss: 0.7040
Epoch [47/100], Step[32/526], Loss: 0.6673
Epoch [47/100], Step[33/526], Loss: 0.7084
Epoch [47/100], Step[34/526], Loss: 0.6959
Epoch [47/100], Step[35/526], Loss: 0.7104
Epoch [47/100], Step[36/526], Loss: 0.7002
Epoch [47/100], Step[37/526], Loss: 0.6912
Epoch [47/100], Step[38/526], Loss: 0.7119
Epoch [47/100], Step[39/526], Loss: 0.6920
Epoch [47/100], Step[40/526], Loss: 0.7171
Epoch [47/100], Step[41/526], Loss: 0.6610
Epoch [47/100], Step[42/526], Loss: 0.7279
Epoch [47/100], Step[43/526], Loss: 0.7185
Epoch [47/100], Step[44/526], Loss: 0.6867
Epoch [47/100], Step[45/526], Loss: 0.6918
Epoch [47/100], Step[46/526], Loss: 0.6891
Epoch [47/100], Step[47/526], Loss: 0.7053
Epoch [47/100], Step[48/526], Loss: 0.7255
Epoch [47/100], Step[49/526], Loss: 0.7041
Epoch [47/100], Step[50/526], Loss: 0.7087
Epoch [47/100], Step[51/526], Loss: 0.6945
Epoch [47/100], Step[52/526], Loss: 0.6763
Epoch [47/100], Step[53/526], Loss: 0.7178
Epoch [47/100], Step[54/526], Loss: 0.7024
Epoch [47/100], Step[55/526], Loss: 0.6941
Epoch [47/100], Step[56/526], Loss: 0.6968
Epoch [47/100], Step[57/526], Loss: 0.6839
Epoch [47/100], Step[58/526], Loss: 0.6733
Epoch [47/100], Step[59/526], Loss: 0.6542
Epoch [47/100], Step[60/526], Loss: 0.6687
Epoch [47/100], Step[61/526], Loss: 0.6520
Epoch [47/100], Step[62/526], Loss: 0.6982
Epoch [47/100], Step[63/526], Loss: 0.6884
Epoch [47/100], Step[64/526], Loss: 0.6823
Epoch [47/100], Step[65/526], Loss: 0.7228
Epoch [47/100], Step[66/526], Loss: 0.6838
Epoch [47/100], Step[67/526], Loss: 0.6553
Epoch [47/100], Step[68/526], Loss: 0.6498
Epoch [47/100], Step[69/526], Loss: 0.6954
Epoch [47/100], Step[70/526], Loss: 0.6828
Epoch [47/100], Step[71/526], Loss: 0.6683
Epoch [47/100], Step[72/526], Loss: 0.6832
Epoch [47/100], Step[73/526], Loss: 0.7129
Epoch [47/100], Step[74/526], Loss: 0.6603
Epoch [47/100], Step[75/526], Loss: 0.7037
Epoch [47/100], Step[76/526], Loss: 0.6897
Epoch [47/100], Step[77/526], Loss: 0.6963
Epoch [47/100], Step[78/526], Loss: 0.7081
Epoch [47/100], Step[79/526], Loss: 0.6918
Epoch [47/100], Step[80/526], Loss: 0.6900
Epoch [47/100], Step[81/526], Loss: 0.7030
Epoch [47/100], Step[82/526], Loss: 0.7248
Epoch [47/100], Step[83/526], Loss: 0.7051
Epoch [47/100], Step[84/526], Loss: 0.6968
Epoch [47/100], Step[85/526], Loss: 0.6642
Epoch [47/100], Step[86/526], Loss: 0.7008
Epoch [47/100], Step[87/526], Loss: 0.6880
Epoch [47/100], Step[88/526], Loss: 0.6894
Epoch [47/100], Step[89/526], Loss: 0.7215
Epoch [47/100], Step[90/526], Loss: 0.6834
Epoch [47/100], Step[91/526], Loss: 0.6860
Epoch [47/100], Step[92/526], Loss: 0.6813
Epoch [47/100], Step[93/526], Loss: 0.6901
Epoch [47/100], Step[94/526], Loss: 0.7987
Epoch [47/100], Step[95/526], Loss: 0.7164
Epoch [47/100], Step[96/526], Loss: 0.6261
Epoch [47/100], Step[97/526], Loss: 0.5943
Epoch [47/100], Step[98/526], Loss: 0.6870
Epoch [47/100], Step[99/526], Loss: 0.6861
Epoch [47/100], Step[100/526], Loss: 0.6663
Epoch [47/100], Step[101/526], Loss: 0.6585
Epoch [47/100], Step[102/526], Loss: 0.6366
Epoch [47/100], Step[103/526], Loss: 0.7081
Epoch [47/100], Step[104/526], Loss: 0.6562
Epoch [47/100], Step[105/526], Loss: 0.6376
Epoch [47/100], Step[106/526], Loss: 0.6891
Epoch [47/100], Step[107/526], Loss: 0.6353
Epoch [47/100], Step[108/526], Loss: 0.5768
Epoch [47/100], Step[109/526], Loss: 0.6679
Epoch [47/100], Step[110/526], Loss: 0.6802
Epoch [47/100], Step[111/526], Loss: 0.5960
Epoch [47/100], Step[112/526], Loss: 0.7340
Epoch [47/100], Step[113/526], Loss: 0.6066
Epoch [47/100], Step[114/526], Loss: 0.6590
Epoch [47/100], Step[115/526], Loss: 0.5964
Epoch [47/100], Step[116/526], Loss: 0.6273
Epoch [47/100], Step[117/526], Loss: 0.6653
Epoch [47/100], Step[118/526], Loss: 0.7604
Epoch [47/100], Step[119/526], Loss: 0.6791
Epoch [47/100], Step[120/526], Loss: 0.6809
Epoch [47/100], Step[121/526], Loss: 0.6929
Epoch [47/100], Step[122/526], Loss: 0.6245
Epoch [47/100], Step[123/526], Loss: 0.6460
Epoch [47/100], Step[124/526], Loss: 0.6718
Epoch [47/100], Step[125/526], Loss: 0.6325
Epoch [47/100], Step[126/526], Loss: 0.7227
Epoch [47/100], Step[127/526], Loss: 0.6754
Epoch [47/100], Step[128/526], Loss: 0.6433
Epoch [47/100], Step[129/526], Loss: 0.5954
Epoch [47/100], Step[130/526], Loss: 0.6129
Epoch [47/100], Step[131/526], Loss: 0.6678
Epoch [47/100], Step[132/526], Loss: 0.7171
Epoch [47/100], Step[133/526], Loss: 0.6745
Epoch [47/100], Step[134/526], Loss: 0.6296
Epoch [47/100], Step[135/526], Loss: 0.6420
Epoch [47/100], Step[136/526], Loss: 0.5644
Epoch [47/100], Step[137/526], Loss: 0.6447
Epoch [47/100], Step[138/526], Loss: 0.6492
Epoch [47/100], Step[139/526], Loss: 0.7046
Epoch [47/100], Step[140/526], Loss: 0.5922
Epoch [47/100], Step[141/526], Loss: 0.6794
Epoch [47/100], Step[142/526], Loss: 0.6625
Epoch [47/100], Step[143/526], Loss: 0.6891
Epoch [47/100], Step[144/526], Loss: 0.7757
Epoch [47/100], Step[145/526], Loss: 0.5481
Epoch [47/100], Step[146/526], Loss: 0.5096
Epoch [47/100], Step[147/526], Loss: 0.4522
Epoch [47/100], Step[148/526], Loss: 0.5968
Epoch [47/100], Step[149/526], Loss: 0.4972
Epoch [47/100], Step[150/526], Loss: 0.5682
Epoch [47/100], Step[151/526], Loss: 0.5543
Epoch [47/100], Step[152/526], Loss: 0.6200
Epoch [47/100], Step[153/526], Loss: 0.6307
Epoch [47/100], Step[154/526], Loss: 0.7183
Epoch [47/100], Step[155/526], Loss: 0.7160
Epoch [47/100], Step[156/526], Loss: 0.5327
Epoch [47/100], Step[157/526], Loss: 0.2661
Epoch [47/100], Step[158/526], Loss: 0.6017
Epoch [47/100], Step[159/526], Loss: 0.6650
Epoch [47/100], Step[160/526], Loss: 0.5545
Epoch [47/100], Step[161/526], Loss: 0.9408
Epoch [47/100], Step[162/526], Loss: 0.6993
Epoch [47/100], Step[163/526], Loss: 0.7129
Epoch [47/100], Step[164/526], Loss: 0.6211
Epoch [47/100], Step[165/526], Loss: 0.7136
Epoch [47/100], Step[166/526], Loss: 0.5030
Epoch [47/100], Step[167/526], Loss: 0.5425
Epoch [47/100], Step[168/526], Loss: 0.6828
Epoch [47/100], Step[169/526], Loss: 0.7468
Epoch [47/100], Step[170/526], Loss: 0.7045
Epoch [47/100], Step[171/526], Loss: 0.7309
Epoch [47/100], Step[172/526], Loss: 0.7077
Epoch [47/100], Step[173/526], Loss: 0.8161
Epoch [47/100], Step[174/526], Loss: 0.6162
Epoch [47/100], Step[175/526], Loss: 0.6643
Epoch [47/100], Step[176/526], Loss: 0.6199
Epoch [47/100], Step[177/526], Loss: 0.6598
Epoch [47/100], Step[178/526], Loss: 0.6864
Epoch [47/100], Step[179/526], Loss: 0.6260
Epoch [47/100], Step[180/526], Loss: 0.6738
Epoch [47/100], Step[181/526], Loss: 0.6428
Epoch [47/100], Step[182/526], Loss: 0.6718
Epoch [47/100], Step[183/526], Loss: 0.5342
Epoch [47/100], Step[184/526], Loss: 0.5934
Epoch [47/100], Step[185/526], Loss: 0.5990
Epoch [47/100], Step[186/526], Loss: 0.6516
Epoch [47/100], Step[187/526], Loss: 0.7419
Epoch [47/100], Step[188/526], Loss: 0.6976
Epoch [47/100], Step[189/526], Loss: 0.6817
Epoch [47/100], Step[190/526], Loss: 0.6544
Epoch [47/100], Step[191/526], Loss: 0.7126
Epoch [47/100], Step[192/526], Loss: 0.8352
Epoch [47/100], Step[193/526], Loss: 0.6516
Epoch [47/100], Step[194/526], Loss: 0.6193
Epoch [47/100], Step[195/526], Loss: 0.6436
Epoch [47/100], Step[196/526], Loss: 0.7274
Epoch [47/100], Step[197/526], Loss: 0.6876
Epoch [47/100], Step[198/526], Loss: 0.6382
Epoch [47/100], Step[199/526], Loss: 0.7331
Epoch [47/100], Step[200/526], Loss: 0.6778
Epoch [47/100], Step[201/526], Loss: 0.6744
Epoch [47/100], Step[202/526], Loss: 0.7407
Epoch [47/100], Step[203/526], Loss: 0.7044
Epoch [47/100], Step[204/526], Loss: 0.7240
Epoch [47/100], Step[205/526], Loss: 0.6966
Epoch [47/100], Step[206/526], Loss: 0.6835
Epoch [47/100], Step[207/526], Loss: 0.7079
Epoch [47/100], Step[208/526], Loss: 0.6837
Epoch [47/100], Step[209/526], Loss: 0.6816
Epoch [47/100], Step[210/526], Loss: 0.7584
Epoch [47/100], Step[211/526], Loss: 0.6332
Epoch [47/100], Step[212/526], Loss: 0.6871
Epoch [47/100], Step[213/526], Loss: 0.7229
Epoch [47/100], Step[214/526], Loss: 0.7419
Epoch [47/100], Step[215/526], Loss: 0.6926
Epoch [47/100], Step[216/526], Loss: 0.6785
Epoch [47/100], Step[217/526], Loss: 0.6740
Epoch [47/100], Step[218/526], Loss: 0.6985
Epoch [47/100], Step[219/526], Loss: 0.6908
Epoch [47/100], Step[220/526], Loss: 0.7223
Epoch [47/100], Step[221/526], Loss: 0.6926
Epoch [47/100], Step[222/526], Loss: 0.7341
Epoch [47/100], Step[223/526], Loss: 0.6807
Epoch [47/100], Step[224/526], Loss: 0.6839
Epoch [47/100], Step[225/526], Loss: 0.7171
Epoch [47/100], Step[226/526], Loss: 0.6750
Epoch [47/100], Step[227/526], Loss: 0.6698
Epoch [47/100], Step[228/526], Loss: 0.6647
Epoch [47/100], Step[229/526], Loss: 0.6892
Epoch [47/100], Step[230/526], Loss: 0.6640
Epoch [47/100], Step[231/526], Loss: 0.6683
Epoch [47/100], Step[232/526], Loss: 0.7086
Epoch [47/100], Step[233/526], Loss: 0.6837
Epoch [47/100], Step[234/526], Loss: 0.6771
Epoch [47/100], Step[235/526], Loss: 0.7031
Epoch [47/100], Step[236/526], Loss: 0.6944
Epoch [47/100], Step[237/526], Loss: 0.7164
Epoch [47/100], Step[238/526], Loss: 0.6831
Epoch [47/100], Step[239/526], Loss: 0.6698
Epoch [47/100], Step[240/526], Loss: 0.7288
Epoch [47/100], Step[241/526], Loss: 0.6982
Epoch [47/100], Step[242/526], Loss: 0.7101
Epoch [47/100], Step[243/526], Loss: 0.6263
Epoch [47/100], Step[244/526], Loss: 0.6527
Epoch [47/100], Step[245/526], Loss: 0.6423
Epoch [47/100], Step[246/526], Loss: 0.6643
Epoch [47/100], Step[247/526], Loss: 0.6222
Epoch [47/100], Step[248/526], Loss: 0.6572
Epoch [47/100], Step[249/526], Loss: 0.6678
Epoch [47/100], Step[250/526], Loss: 0.6828
Epoch [47/100], Step[251/526], Loss: 0.7038
Epoch [47/100], Step[252/526], Loss: 0.6943
Epoch [47/100], Step[253/526], Loss: 0.6320
Epoch [47/100], Step[254/526], Loss: 0.6640
Epoch [47/100], Step[255/526], Loss: 0.6033
Epoch [47/100], Step[256/526], Loss: 0.6894
Epoch [47/100], Step[257/526], Loss: 0.6692
Epoch [47/100], Step[258/526], Loss: 0.6268
Epoch [47/100], Step[259/526], Loss: 0.6848
Epoch [47/100], Step[260/526], Loss: 0.7439
Epoch [47/100], Step[261/526], Loss: 0.7522
Epoch [47/100], Step[262/526], Loss: 0.6803
Epoch [47/100], Step[263/526], Loss: 0.6639
Epoch [47/100], Step[264/526], Loss: 0.6482
Epoch [47/100], Step[265/526], Loss: 0.6322
Epoch [47/100], Step[266/526], Loss: 0.6371
Epoch [47/100], Step[267/526], Loss: 0.5024
Epoch [47/100], Step[268/526], Loss: 0.5430
Epoch [47/100], Step[269/526], Loss: 0.4526
Epoch [47/100], Step[270/526], Loss: 0.3827
Epoch [47/100], Step[271/526], Loss: 0.5113
Epoch [47/100], Step[272/526], Loss: 0.5329
Epoch [47/100], Step[273/526], Loss: 0.6309
Epoch [47/100], Step[274/526], Loss: 0.4308
Epoch [47/100], Step[275/526], Loss: 0.4177
Epoch [47/100], Step[276/526], Loss: 0.4648
Epoch [47/100], Step[277/526], Loss: 0.4219
Epoch [47/100], Step[278/526], Loss: 0.4549
Epoch [47/100], Step[279/526], Loss: 0.4053
Epoch [47/100], Step[280/526], Loss: 0.4448
Epoch [47/100], Step[281/526], Loss: 0.6256
Epoch [47/100], Step[282/526], Loss: 0.3570
Epoch [47/100], Step[283/526], Loss: 0.3646
Epoch [47/100], Step[284/526], Loss: 0.3986
Epoch [47/100], Step[285/526], Loss: 0.2746
Epoch [47/100], Step[286/526], Loss: 0.7011
Epoch [47/100], Step[287/526], Loss: 0.4781
Epoch [47/100], Step[288/526], Loss: 0.4334
Epoch [47/100], Step[289/526], Loss: 0.6171
Epoch [47/100], Step[290/526], Loss: 0.4219
Epoch [47/100], Step[291/526], Loss: 0.4827
Epoch [47/100], Step[292/526], Loss: 0.2567
Epoch [47/100], Step[293/526], Loss: 0.3061
Epoch [47/100], Step[294/526], Loss: 0.3208
Epoch [47/100], Step[295/526], Loss: 0.4240
Epoch [47/100], Step[296/526], Loss: 0.6236
Epoch [47/100], Step[297/526], Loss: 0.2957
Epoch [47/100], Step[298/526], Loss: 0.2871
Epoch [47/100], Step[299/526], Loss: 0.2362
Epoch [47/100], Step[300/526], Loss: 0.2868
Epoch [47/100], Step[301/526], Loss: 0.6194
Epoch [47/100], Step[302/526], Loss: 0.3243
Epoch [47/100], Step[303/526], Loss: 0.4712
Epoch [47/100], Step[304/526], Loss: 0.2582
Epoch [47/100], Step[305/526], Loss: 0.2614
Epoch [47/100], Step[306/526], Loss: 0.5798
Epoch [47/100], Step[307/526], Loss: 0.8938
Epoch [47/100], Step[308/526], Loss: 1.3120
Epoch [47/100], Step[309/526], Loss: 0.8343
Epoch [47/100], Step[310/526], Loss: 0.9532
Epoch [47/100], Step[311/526], Loss: 0.8192
Epoch [47/100], Step[312/526], Loss: 0.4888
Epoch [47/100], Step[313/526], Loss: 0.4870
Epoch [47/100], Step[314/526], Loss: 0.6501
Epoch [47/100], Step[315/526], Loss: 0.7010
Epoch [47/100], Step[316/526], Loss: 0.4926
Epoch [47/100], Step[317/526], Loss: 0.3266
Epoch [47/100], Step[318/526], Loss: 0.7692
Epoch [47/100], Step[319/526], Loss: 0.3575
Epoch [47/100], Step[320/526], Loss: 0.6230
Epoch [47/100], Step[321/526], Loss: 0.7054
Epoch [47/100], Step[322/526], Loss: 0.2703
Epoch [47/100], Step[323/526], Loss: 0.6148
Epoch [47/100], Step[324/526], Loss: 0.6533
Epoch [47/100], Step[325/526], Loss: 0.5863
Epoch [47/100], Step[326/526], Loss: 0.7531
Epoch [47/100], Step[327/526], Loss: 0.7291
Epoch [47/100], Step[328/526], Loss: 0.9311
Epoch [47/100], Step[329/526], Loss: 1.2760
Epoch [47/100], Step[330/526], Loss: 1.0376
Epoch [47/100], Step[331/526], Loss: 0.7851
Epoch [47/100], Step[332/526], Loss: 0.8272
Epoch [47/100], Step[333/526], Loss: 0.7735
Epoch [47/100], Step[334/526], Loss: 0.7693
Epoch [47/100], Step[335/526], Loss: 0.7849
Epoch [47/100], Step[336/526], Loss: 0.6932
Epoch [47/100], Step[337/526], Loss: 0.5941
Epoch [47/100], Step[338/526], Loss: 0.7071
Epoch [47/100], Step[339/526], Loss: 0.6406
Epoch [47/100], Step[340/526], Loss: 0.7219
Epoch [47/100], Step[341/526], Loss: 0.7674
Epoch [47/100], Step[342/526], Loss: 0.7821
Epoch [47/100], Step[343/526], Loss: 0.5385
Epoch [47/100], Step[344/526], Loss: 0.7287
Epoch [47/100], Step[345/526], Loss: 0.6519
Epoch [47/100], Step[346/526], Loss: 0.6692
Epoch [47/100], Step[347/526], Loss: 0.7113
Epoch [47/100], Step[348/526], Loss: 0.6305
Epoch [47/100], Step[349/526], Loss: 0.5799
Epoch [47/100], Step[350/526], Loss: 0.6718
Epoch [47/100], Step[351/526], Loss: 0.7160
Epoch [47/100], Step[352/526], Loss: 0.6122
Epoch [47/100], Step[353/526], Loss: 0.6857
Epoch [47/100], Step[354/526], Loss: 0.6710
Epoch [47/100], Step[355/526], Loss: 0.6728
Epoch [47/100], Step[356/526], Loss: 0.7040
Epoch [47/100], Step[357/526], Loss: 0.6599
Epoch [47/100], Step[358/526], Loss: 0.6971
Epoch [47/100], Step[359/526], Loss: 0.6557
Epoch [47/100], Step[360/526], Loss: 0.6786
Epoch [47/100], Step[361/526], Loss: 0.7223
Epoch [47/100], Step[362/526], Loss: 0.7041
Epoch [47/100], Step[363/526], Loss: 0.6932
Epoch [47/100], Step[364/526], Loss: 0.7140
Epoch [47/100], Step[365/526], Loss: 0.7128
Epoch [47/100], Step[366/526], Loss: 0.6877
Epoch [47/100], Step[367/526], Loss: 0.6914
Epoch [47/100], Step[368/526], Loss: 0.6501
Epoch [47/100], Step[369/526], Loss: 0.6607
Epoch [47/100], Step[370/526], Loss: 0.6197
Epoch [47/100], Step[371/526], Loss: 0.7326
Epoch [47/100], Step[372/526], Loss: 0.6420
Epoch [47/100], Step[373/526], Loss: 0.6759
Epoch [47/100], Step[374/526], Loss: 0.7049
Epoch [47/100], Step[375/526], Loss: 0.6478
Epoch [47/100], Step[376/526], Loss: 0.6612
Epoch [47/100], Step[377/526], Loss: 0.6888
Epoch [47/100], Step[378/526], Loss: 0.6905
Epoch [47/100], Step[379/526], Loss: 0.7492
Epoch [47/100], Step[380/526], Loss: 0.6155
Epoch [47/100], Step[381/526], Loss: 0.5957
Epoch [47/100], Step[382/526], Loss: 0.6715
Epoch [47/100], Step[383/526], Loss: 0.6963
Epoch [47/100], Step[384/526], Loss: 0.6313
Epoch [47/100], Step[385/526], Loss: 0.6312
Epoch [47/100], Step[386/526], Loss: 0.6662
Epoch [47/100], Step[387/526], Loss: 0.6627
Epoch [47/100], Step[388/526], Loss: 0.5995
Epoch [47/100], Step[389/526], Loss: 0.7179
Epoch [47/100], Step[390/526], Loss: 0.5841
Epoch [47/100], Step[391/526], Loss: 0.6540
Epoch [47/100], Step[392/526], Loss: 0.6997
Epoch [47/100], Step[393/526], Loss: 0.5851
Epoch [47/100], Step[394/526], Loss: 0.5133
Epoch [47/100], Step[395/526], Loss: 0.6105
Epoch [47/100], Step[396/526], Loss: 0.6312
Epoch [47/100], Step[397/526], Loss: 0.4709
Epoch [47/100], Step[398/526], Loss: 0.6010
Epoch [47/100], Step[399/526], Loss: 0.6520
Epoch [47/100], Step[400/526], Loss: 0.4717
Epoch [47/100], Step[401/526], Loss: 0.5938
Epoch [47/100], Step[402/526], Loss: 0.6403
Epoch [47/100], Step[403/526], Loss: 0.7423
Epoch [47/100], Step[404/526], Loss: 0.4783
Epoch [47/100], Step[405/526], Loss: 0.5020
Epoch [47/100], Step[406/526], Loss: 0.6288
Epoch [47/100], Step[407/526], Loss: 0.7564
Epoch [47/100], Step[408/526], Loss: 0.6537
Epoch [47/100], Step[409/526], Loss: 0.4717
Epoch [47/100], Step[410/526], Loss: 0.4926
Epoch [47/100], Step[411/526], Loss: 0.5355
Epoch [47/100], Step[412/526], Loss: 0.5936
Epoch [47/100], Step[413/526], Loss: 0.5943
Epoch [47/100], Step[414/526], Loss: 0.6402
Epoch [47/100], Step[415/526], Loss: 0.6102
Epoch [47/100], Step[416/526], Loss: 0.5451
Epoch [47/100], Step[417/526], Loss: 0.4501
Epoch [47/100], Step[418/526], Loss: 0.7435
Epoch [47/100], Step[419/526], Loss: 0.6843
Epoch [47/100], Step[420/526], Loss: 0.6849
Epoch [47/100], Step[421/526], Loss: 0.6391
Epoch [47/100], Step[422/526], Loss: 0.7751
Epoch [47/100], Step[423/526], Loss: 0.7007
Epoch [47/100], Step[424/526], Loss: 0.7420
Epoch [47/100], Step[425/526], Loss: 0.7008
Epoch [47/100], Step[426/526], Loss: 0.7597
Epoch [47/100], Step[427/526], Loss: 0.7078
Epoch [47/100], Step[428/526], Loss: 0.7147
Epoch [47/100], Step[429/526], Loss: 0.7256
Epoch [47/100], Step[430/526], Loss: 0.7895
Epoch [47/100], Step[431/526], Loss: 0.7046
Epoch [47/100], Step[432/526], Loss: 0.7290
Epoch [47/100], Step[433/526], Loss: 0.6744
Epoch [47/100], Step[434/526], Loss: 0.6120
Epoch [47/100], Step[435/526], Loss: 0.7790
Epoch [47/100], Step[436/526], Loss: 0.8079
Epoch [47/100], Step[437/526], Loss: 0.4910
Epoch [47/100], Step[438/526], Loss: 0.3631
Epoch [47/100], Step[439/526], Loss: 0.7232
Epoch [47/100], Step[440/526], Loss: 0.6856
Epoch [47/100], Step[441/526], Loss: 0.6904
Epoch [47/100], Step[442/526], Loss: 0.6421
Epoch [47/100], Step[443/526], Loss: 0.6714
Epoch [47/100], Step[444/526], Loss: 0.7523
Epoch [47/100], Step[445/526], Loss: 0.7038
Epoch [47/100], Step[446/526], Loss: 0.7137
Epoch [47/100], Step[447/526], Loss: 0.7163
Epoch [47/100], Step[448/526], Loss: 0.7204
Epoch [47/100], Step[449/526], Loss: 0.6719
Epoch [47/100], Step[450/526], Loss: 0.6038
Epoch [47/100], Step[451/526], Loss: 0.6625
Epoch [47/100], Step[452/526], Loss: 0.7250
Epoch [47/100], Step[453/526], Loss: 0.7020
Epoch [47/100], Step[454/526], Loss: 0.8293
Epoch [47/100], Step[455/526], Loss: 0.6638
Epoch [47/100], Step[456/526], Loss: 0.6329
Epoch [47/100], Step[457/526], Loss: 0.7081
Epoch [47/100], Step[458/526], Loss: 0.6683
Epoch [47/100], Step[459/526], Loss: 0.6641
Epoch [47/100], Step[460/526], Loss: 0.6423
Epoch [47/100], Step[461/526], Loss: 0.6116
Epoch [47/100], Step[462/526], Loss: 0.6754
Epoch [47/100], Step[463/526], Loss: 0.6493
Epoch [47/100], Step[464/526], Loss: 0.6394
Epoch [47/100], Step[465/526], Loss: 0.6608
Epoch [47/100], Step[466/526], Loss: 0.6608
Epoch [47/100], Step[467/526], Loss: 0.6544
Epoch [47/100], Step[468/526], Loss: 0.6165
Epoch [47/100], Step[469/526], Loss: 0.8068
Epoch [47/100], Step[470/526], Loss: 0.6569
Epoch [47/100], Step[471/526], Loss: 0.6952
Epoch [47/100], Step[472/526], Loss: 0.6711
Epoch [47/100], Step[473/526], Loss: 0.6805
Epoch [47/100], Step[474/526], Loss: 0.6779
Epoch [47/100], Step[475/526], Loss: 0.8412
Epoch [47/100], Step[476/526], Loss: 0.7457
Epoch [47/100], Step[477/526], Loss: 0.6961
Epoch [47/100], Step[478/526], Loss: 0.6755
Epoch [47/100], Step[479/526], Loss: 0.6603
Epoch [47/100], Step[480/526], Loss: 0.7345
Epoch [47/100], Step[481/526], Loss: 0.7303
Epoch [47/100], Step[482/526], Loss: 0.6194
Epoch [47/100], Step[483/526], Loss: 0.5402
Epoch [47/100], Step[484/526], Loss: 0.6908
Epoch [47/100], Step[485/526], Loss: 0.7511
Epoch [47/100], Step[486/526], Loss: 0.7275
Epoch [47/100], Step[487/526], Loss: 0.7253
Epoch [47/100], Step[488/526], Loss: 0.7076
Epoch [47/100], Step[489/526], Loss: 0.6407
Epoch [47/100], Step[490/526], Loss: 0.6120
Epoch [47/100], Step[491/526], Loss: 0.7018
Epoch [47/100], Step[492/526], Loss: 0.6312
Epoch [47/100], Step[493/526], Loss: 0.6419
Epoch [47/100], Step[494/526], Loss: 0.6651
Epoch [47/100], Step[495/526], Loss: 0.6891
Epoch [47/100], Step[496/526], Loss: 0.6638
Epoch [47/100], Step[497/526], Loss: 0.6364
Epoch [47/100], Step[498/526], Loss: 0.6748
Epoch [47/100], Step[499/526], Loss: 0.6701
Epoch [47/100], Step[500/526], Loss: 0.6838
Epoch [47/100], Step[501/526], Loss: 0.6581
Epoch [47/100], Step[502/526], Loss: 0.6997
Epoch [47/100], Step[503/526], Loss: 0.7145
Epoch [47/100], Step[504/526], Loss: 0.6986
Epoch [47/100], Step[505/526], Loss: 0.7113
Epoch [47/100], Step[506/526], Loss: 0.6804
Epoch [47/100], Step[507/526], Loss: 0.6687
Epoch [47/100], Step[508/526], Loss: 0.7043
Epoch [47/100], Step[509/526], Loss: 0.6537
Epoch [47/100], Step[510/526], Loss: 0.7031
Epoch [47/100], Step[511/526], Loss: 0.6448
Epoch [47/100], Step[512/526], Loss: 0.6700
Epoch [47/100], Step[513/526], Loss: 0.6447
Epoch [47/100], Step[514/526], Loss: 0.6553
Epoch [47/100], Step[515/526], Loss: 0.5742
Epoch [47/100], Step[516/526], Loss: 0.7540
Epoch [47/100], Step[517/526], Loss: 0.6868
Epoch [47/100], Step[518/526], Loss: 0.7305
Epoch [47/100], Step[519/526], Loss: 0.7138
Epoch [47/100], Step[520/526], Loss: 0.7334
Epoch [47/100], Step[521/526], Loss: 0.6790
Epoch [47/100], Step[522/526], Loss: 0.6051
Epoch [47/100], Step[523/526], Loss: 0.6586
Epoch [47/100], Step[524/526], Loss: 0.6484
Epoch [47/100], Step[525/526], Loss: 0.7457
Epoch [47/100], Step[526/526], Loss: 0.7058
Epoch [48/100], Step[1/526], Loss: 0.6581
Epoch [48/100], Step[2/526], Loss: 0.6417
Epoch [48/100], Step[3/526], Loss: 0.6794
Epoch [48/100], Step[4/526], Loss: 0.6311
Epoch [48/100], Step[5/526], Loss: 0.7381
Epoch [48/100], Step[6/526], Loss: 0.7493
Epoch [48/100], Step[7/526], Loss: 0.6978
Epoch [48/100], Step[8/526], Loss: 0.6815
Epoch [48/100], Step[9/526], Loss: 0.7101
Epoch [48/100], Step[10/526], Loss: 0.6758
Epoch [48/100], Step[11/526], Loss: 0.6696
Epoch [48/100], Step[12/526], Loss: 0.7219
Epoch [48/100], Step[13/526], Loss: 0.6284
Epoch [48/100], Step[14/526], Loss: 0.6606
Epoch [48/100], Step[15/526], Loss: 0.6863
Epoch [48/100], Step[16/526], Loss: 0.7046
Epoch [48/100], Step[17/526], Loss: 0.7136
Epoch [48/100], Step[18/526], Loss: 0.6769
Epoch [48/100], Step[19/526], Loss: 0.6751
Epoch [48/100], Step[20/526], Loss: 0.7104
Epoch [48/100], Step[21/526], Loss: 0.7536
Epoch [48/100], Step[22/526], Loss: 0.7285
Epoch [48/100], Step[23/526], Loss: 0.7371
Epoch [48/100], Step[24/526], Loss: 0.7138
Epoch [48/100], Step[25/526], Loss: 0.6913
Epoch [48/100], Step[26/526], Loss: 0.6367
Epoch [48/100], Step[27/526], Loss: 0.6824
Epoch [48/100], Step[28/526], Loss: 0.6867
Epoch [48/100], Step[29/526], Loss: 0.6505
Epoch [48/100], Step[30/526], Loss: 0.6911
Epoch [48/100], Step[31/526], Loss: 0.7038
Epoch [48/100], Step[32/526], Loss: 0.6665
Epoch [48/100], Step[33/526], Loss: 0.7049
Epoch [48/100], Step[34/526], Loss: 0.6955
Epoch [48/100], Step[35/526], Loss: 0.7106
Epoch [48/100], Step[36/526], Loss: 0.6990
Epoch [48/100], Step[37/526], Loss: 0.6915
Epoch [48/100], Step[38/526], Loss: 0.7122
Epoch [48/100], Step[39/526], Loss: 0.6924
Epoch [48/100], Step[40/526], Loss: 0.7187
Epoch [48/100], Step[41/526], Loss: 0.6609
Epoch [48/100], Step[42/526], Loss: 0.7278
Epoch [48/100], Step[43/526], Loss: 0.7184
Epoch [48/100], Step[44/526], Loss: 0.6861
Epoch [48/100], Step[45/526], Loss: 0.6918
Epoch [48/100], Step[46/526], Loss: 0.6862
Epoch [48/100], Step[47/526], Loss: 0.7056
Epoch [48/100], Step[48/526], Loss: 0.7260
Epoch [48/100], Step[49/526], Loss: 0.7084
Epoch [48/100], Step[50/526], Loss: 0.6998
Epoch [48/100], Step[51/526], Loss: 0.6942
Epoch [48/100], Step[52/526], Loss: 0.6767
Epoch [48/100], Step[53/526], Loss: 0.7092
Epoch [48/100], Step[54/526], Loss: 0.7138
Epoch [48/100], Step[55/526], Loss: 0.7157
Epoch [48/100], Step[56/526], Loss: 0.6982
Epoch [48/100], Step[57/526], Loss: 0.6838
Epoch [48/100], Step[58/526], Loss: 0.6794
Epoch [48/100], Step[59/526], Loss: 0.6546
Epoch [48/100], Step[60/526], Loss: 0.6687
Epoch [48/100], Step[61/526], Loss: 0.6588
Epoch [48/100], Step[62/526], Loss: 0.6987
Epoch [48/100], Step[63/526], Loss: 0.6886
Epoch [48/100], Step[64/526], Loss: 0.6797
Epoch [48/100], Step[65/526], Loss: 0.7231
Epoch [48/100], Step[66/526], Loss: 0.6834
Epoch [48/100], Step[67/526], Loss: 0.6516
Epoch [48/100], Step[68/526], Loss: 0.6495
Epoch [48/100], Step[69/526], Loss: 0.6954
Epoch [48/100], Step[70/526], Loss: 0.6832
Epoch [48/100], Step[71/526], Loss: 0.6686
Epoch [48/100], Step[72/526], Loss: 0.6837
Epoch [48/100], Step[73/526], Loss: 0.7130
Epoch [48/100], Step[74/526], Loss: 0.6595
Epoch [48/100], Step[75/526], Loss: 0.7041
Epoch [48/100], Step[76/526], Loss: 0.6886
Epoch [48/100], Step[77/526], Loss: 0.6963
Epoch [48/100], Step[78/526], Loss: 0.7089
Epoch [48/100], Step[79/526], Loss: 0.6912
Epoch [48/100], Step[80/526], Loss: 0.6903
Epoch [48/100], Step[81/526], Loss: 0.7032
Epoch [48/100], Step[82/526], Loss: 0.7251
Epoch [48/100], Step[83/526], Loss: 0.7056
Epoch [48/100], Step[84/526], Loss: 0.6985
Epoch [48/100], Step[85/526], Loss: 0.6622
Epoch [48/100], Step[86/526], Loss: 0.7006
Epoch [48/100], Step[87/526], Loss: 0.6832
Epoch [48/100], Step[88/526], Loss: 0.6877
Epoch [48/100], Step[89/526], Loss: 0.7213
Epoch [48/100], Step[90/526], Loss: 0.6843
Epoch [48/100], Step[91/526], Loss: 0.6845
Epoch [48/100], Step[92/526], Loss: 0.6814
Epoch [48/100], Step[93/526], Loss: 0.6882
Epoch [48/100], Step[94/526], Loss: 0.8017
Epoch [48/100], Step[95/526], Loss: 0.7167
Epoch [48/100], Step[96/526], Loss: 0.6253
Epoch [48/100], Step[97/526], Loss: 0.5939
Epoch [48/100], Step[98/526], Loss: 0.6874
Epoch [48/100], Step[99/526], Loss: 0.6855
Epoch [48/100], Step[100/526], Loss: 0.6710
Epoch [48/100], Step[101/526], Loss: 0.6575
Epoch [48/100], Step[102/526], Loss: 0.6330
Epoch [48/100], Step[103/526], Loss: 0.7022
Epoch [48/100], Step[104/526], Loss: 0.6520
Epoch [48/100], Step[105/526], Loss: 0.6379
Epoch [48/100], Step[106/526], Loss: 0.6901
Epoch [48/100], Step[107/526], Loss: 0.6363
Epoch [48/100], Step[108/526], Loss: 0.5772
Epoch [48/100], Step[109/526], Loss: 0.6681
Epoch [48/100], Step[110/526], Loss: 0.6830
Epoch [48/100], Step[111/526], Loss: 0.5913
Epoch [48/100], Step[112/526], Loss: 0.7366
Epoch [48/100], Step[113/526], Loss: 0.6059
Epoch [48/100], Step[114/526], Loss: 0.6591
Epoch [48/100], Step[115/526], Loss: 0.5976
Epoch [48/100], Step[116/526], Loss: 0.6277
Epoch [48/100], Step[117/526], Loss: 0.6642
Epoch [48/100], Step[118/526], Loss: 0.7589
Epoch [48/100], Step[119/526], Loss: 0.6780
Epoch [48/100], Step[120/526], Loss: 0.6823
Epoch [48/100], Step[121/526], Loss: 0.6936
Epoch [48/100], Step[122/526], Loss: 0.6255
Epoch [48/100], Step[123/526], Loss: 0.6452
Epoch [48/100], Step[124/526], Loss: 0.6718
Epoch [48/100], Step[125/526], Loss: 0.6340
Epoch [48/100], Step[126/526], Loss: 0.7219
Epoch [48/100], Step[127/526], Loss: 0.6747
Epoch [48/100], Step[128/526], Loss: 0.6449
Epoch [48/100], Step[129/526], Loss: 0.5963
Epoch [48/100], Step[130/526], Loss: 0.6164
Epoch [48/100], Step[131/526], Loss: 0.6677
Epoch [48/100], Step[132/526], Loss: 0.7151
Epoch [48/100], Step[133/526], Loss: 0.6728
Epoch [48/100], Step[134/526], Loss: 0.6296
Epoch [48/100], Step[135/526], Loss: 0.6435
Epoch [48/100], Step[136/526], Loss: 0.5666
Epoch [48/100], Step[137/526], Loss: 0.6423
Epoch [48/100], Step[138/526], Loss: 0.6479
Epoch [48/100], Step[139/526], Loss: 0.6993
Epoch [48/100], Step[140/526], Loss: 0.5956
Epoch [48/100], Step[141/526], Loss: 0.6799
Epoch [48/100], Step[142/526], Loss: 0.6645
Epoch [48/100], Step[143/526], Loss: 0.6877
Epoch [48/100], Step[144/526], Loss: 0.7763
Epoch [48/100], Step[145/526], Loss: 0.5504
Epoch [48/100], Step[146/526], Loss: 0.5130
Epoch [48/100], Step[147/526], Loss: 0.4569
Epoch [48/100], Step[148/526], Loss: 0.5932
Epoch [48/100], Step[149/526], Loss: 0.5017
Epoch [48/100], Step[150/526], Loss: 0.5837
Epoch [48/100], Step[151/526], Loss: 0.5639
Epoch [48/100], Step[152/526], Loss: 0.6250
Epoch [48/100], Step[153/526], Loss: 0.6371
Epoch [48/100], Step[154/526], Loss: 0.7195
Epoch [48/100], Step[155/526], Loss: 0.7185
Epoch [48/100], Step[156/526], Loss: 0.5383
Epoch [48/100], Step[157/526], Loss: 0.2732
Epoch [48/100], Step[158/526], Loss: 0.6112
Epoch [48/100], Step[159/526], Loss: 0.6693
Epoch [48/100], Step[160/526], Loss: 0.5545
Epoch [48/100], Step[161/526], Loss: 0.9187
Epoch [48/100], Step[162/526], Loss: 0.7018
Epoch [48/100], Step[163/526], Loss: 0.7124
Epoch [48/100], Step[164/526], Loss: 0.6213
Epoch [48/100], Step[165/526], Loss: 0.7219
Epoch [48/100], Step[166/526], Loss: 0.5086
Epoch [48/100], Step[167/526], Loss: 0.5447
Epoch [48/100], Step[168/526], Loss: 0.6829
Epoch [48/100], Step[169/526], Loss: 0.7451
Epoch [48/100], Step[170/526], Loss: 0.7031
Epoch [48/100], Step[171/526], Loss: 0.7302
Epoch [48/100], Step[172/526], Loss: 0.7071
Epoch [48/100], Step[173/526], Loss: 0.8164
Epoch [48/100], Step[174/526], Loss: 0.6181
Epoch [48/100], Step[175/526], Loss: 0.6643
Epoch [48/100], Step[176/526], Loss: 0.6174
Epoch [48/100], Step[177/526], Loss: 0.6570
Epoch [48/100], Step[178/526], Loss: 0.6864
Epoch [48/100], Step[179/526], Loss: 0.6237
Epoch [48/100], Step[180/526], Loss: 0.6736
Epoch [48/100], Step[181/526], Loss: 0.6428
Epoch [48/100], Step[182/526], Loss: 0.6723
Epoch [48/100], Step[183/526], Loss: 0.5322
Epoch [48/100], Step[184/526], Loss: 0.5921
Epoch [48/100], Step[185/526], Loss: 0.5967
Epoch [48/100], Step[186/526], Loss: 0.6490
Epoch [48/100], Step[187/526], Loss: 0.7462
Epoch [48/100], Step[188/526], Loss: 0.6992
Epoch [48/100], Step[189/526], Loss: 0.6808
Epoch [48/100], Step[190/526], Loss: 0.6513
Epoch [48/100], Step[191/526], Loss: 0.7174
Epoch [48/100], Step[192/526], Loss: 0.8348
Epoch [48/100], Step[193/526], Loss: 0.6525
Epoch [48/100], Step[194/526], Loss: 0.6176
Epoch [48/100], Step[195/526], Loss: 0.6451
Epoch [48/100], Step[196/526], Loss: 0.7351
Epoch [48/100], Step[197/526], Loss: 0.6901
Epoch [48/100], Step[198/526], Loss: 0.6375
Epoch [48/100], Step[199/526], Loss: 0.7346
Epoch [48/100], Step[200/526], Loss: 0.6783
Epoch [48/100], Step[201/526], Loss: 0.6750
Epoch [48/100], Step[202/526], Loss: 0.7438
Epoch [48/100], Step[203/526], Loss: 0.7049
Epoch [48/100], Step[204/526], Loss: 0.7236
Epoch [48/100], Step[205/526], Loss: 0.6982
Epoch [48/100], Step[206/526], Loss: 0.6833
Epoch [48/100], Step[207/526], Loss: 0.7114
Epoch [48/100], Step[208/526], Loss: 0.6826
Epoch [48/100], Step[209/526], Loss: 0.6820
Epoch [48/100], Step[210/526], Loss: 0.7601
Epoch [48/100], Step[211/526], Loss: 0.6306
Epoch [48/100], Step[212/526], Loss: 0.6871
Epoch [48/100], Step[213/526], Loss: 0.7241
Epoch [48/100], Step[214/526], Loss: 0.7440
Epoch [48/100], Step[215/526], Loss: 0.6939
Epoch [48/100], Step[216/526], Loss: 0.6776
Epoch [48/100], Step[217/526], Loss: 0.6745
Epoch [48/100], Step[218/526], Loss: 0.6981
Epoch [48/100], Step[219/526], Loss: 0.6910
Epoch [48/100], Step[220/526], Loss: 0.7244
Epoch [48/100], Step[221/526], Loss: 0.6942
Epoch [48/100], Step[222/526], Loss: 0.7383
Epoch [48/100], Step[223/526], Loss: 0.6800
Epoch [48/100], Step[224/526], Loss: 0.6828
Epoch [48/100], Step[225/526], Loss: 0.7202
Epoch [48/100], Step[226/526], Loss: 0.6751
Epoch [48/100], Step[227/526], Loss: 0.6695
Epoch [48/100], Step[228/526], Loss: 0.6636
Epoch [48/100], Step[229/526], Loss: 0.6884
Epoch [48/100], Step[230/526], Loss: 0.6633
Epoch [48/100], Step[231/526], Loss: 0.6673
Epoch [48/100], Step[232/526], Loss: 0.7079
Epoch [48/100], Step[233/526], Loss: 0.6841
Epoch [48/100], Step[234/526], Loss: 0.6763
Epoch [48/100], Step[235/526], Loss: 0.7043
Epoch [48/100], Step[236/526], Loss: 0.6950
Epoch [48/100], Step[237/526], Loss: 0.7161
Epoch [48/100], Step[238/526], Loss: 0.6811
Epoch [48/100], Step[239/526], Loss: 0.6687
Epoch [48/100], Step[240/526], Loss: 0.7273
Epoch [48/100], Step[241/526], Loss: 0.6969
Epoch [48/100], Step[242/526], Loss: 0.7102
Epoch [48/100], Step[243/526], Loss: 0.6153
Epoch [48/100], Step[244/526], Loss: 0.6531
Epoch [48/100], Step[245/526], Loss: 0.6428
Epoch [48/100], Step[246/526], Loss: 0.6649
Epoch [48/100], Step[247/526], Loss: 0.6228
Epoch [48/100], Step[248/526], Loss: 0.6565
Epoch [48/100], Step[249/526], Loss: 0.6674
Epoch [48/100], Step[250/526], Loss: 0.6822
Epoch [48/100], Step[251/526], Loss: 0.7036
Epoch [48/100], Step[252/526], Loss: 0.6942
Epoch [48/100], Step[253/526], Loss: 0.6320
Epoch [48/100], Step[254/526], Loss: 0.6650
Epoch [48/100], Step[255/526], Loss: 0.6032
Epoch [48/100], Step[256/526], Loss: 0.6883
Epoch [48/100], Step[257/526], Loss: 0.6677
Epoch [48/100], Step[258/526], Loss: 0.6256
Epoch [48/100], Step[259/526], Loss: 0.6844
Epoch [48/100], Step[260/526], Loss: 0.7450
Epoch [48/100], Step[261/526], Loss: 0.7528
Epoch [48/100], Step[262/526], Loss: 0.6803
Epoch [48/100], Step[263/526], Loss: 0.6641
Epoch [48/100], Step[264/526], Loss: 0.6473
Epoch [48/100], Step[265/526], Loss: 0.6306
Epoch [48/100], Step[266/526], Loss: 0.6358
Epoch [48/100], Step[267/526], Loss: 0.5021
Epoch [48/100], Step[268/526], Loss: 0.5418
Epoch [48/100], Step[269/526], Loss: 0.4524
Epoch [48/100], Step[270/526], Loss: 0.3821
Epoch [48/100], Step[271/526], Loss: 0.5114
Epoch [48/100], Step[272/526], Loss: 0.5335
Epoch [48/100], Step[273/526], Loss: 0.6320
Epoch [48/100], Step[274/526], Loss: 0.4293
Epoch [48/100], Step[275/526], Loss: 0.4179
Epoch [48/100], Step[276/526], Loss: 0.4646
Epoch [48/100], Step[277/526], Loss: 0.4228
Epoch [48/100], Step[278/526], Loss: 0.4561
Epoch [48/100], Step[279/526], Loss: 0.4064
Epoch [48/100], Step[280/526], Loss: 0.4451
Epoch [48/100], Step[281/526], Loss: 0.6268
Epoch [48/100], Step[282/526], Loss: 0.3566
Epoch [48/100], Step[283/526], Loss: 0.3649
Epoch [48/100], Step[284/526], Loss: 0.3983
Epoch [48/100], Step[285/526], Loss: 0.2744
Epoch [48/100], Step[286/526], Loss: 0.7016
Epoch [48/100], Step[287/526], Loss: 0.4784
Epoch [48/100], Step[288/526], Loss: 0.4335
Epoch [48/100], Step[289/526], Loss: 0.6181
Epoch [48/100], Step[290/526], Loss: 0.4219
Epoch [48/100], Step[291/526], Loss: 0.4833
Epoch [48/100], Step[292/526], Loss: 0.2561
Epoch [48/100], Step[293/526], Loss: 0.3058
Epoch [48/100], Step[294/526], Loss: 0.3198
Epoch [48/100], Step[295/526], Loss: 0.4237
Epoch [48/100], Step[296/526], Loss: 0.6242
Epoch [48/100], Step[297/526], Loss: 0.2952
Epoch [48/100], Step[298/526], Loss: 0.2860
Epoch [48/100], Step[299/526], Loss: 0.2360
Epoch [48/100], Step[300/526], Loss: 0.2860
Epoch [48/100], Step[301/526], Loss: 0.6200
Epoch [48/100], Step[302/526], Loss: 0.3233
Epoch [48/100], Step[303/526], Loss: 0.4726
Epoch [48/100], Step[304/526], Loss: 0.2583
Epoch [48/100], Step[305/526], Loss: 0.2603
Epoch [48/100], Step[306/526], Loss: 0.5803
Epoch [48/100], Step[307/526], Loss: 0.8935
Epoch [48/100], Step[308/526], Loss: 1.3150
Epoch [48/100], Step[309/526], Loss: 0.8167
Epoch [48/100], Step[310/526], Loss: 0.9557
Epoch [48/100], Step[311/526], Loss: 0.8200
Epoch [48/100], Step[312/526], Loss: 0.4891
Epoch [48/100], Step[313/526], Loss: 0.4872
Epoch [48/100], Step[314/526], Loss: 0.6532
Epoch [48/100], Step[315/526], Loss: 0.7010
Epoch [48/100], Step[316/526], Loss: 0.4924
Epoch [48/100], Step[317/526], Loss: 0.3269
Epoch [48/100], Step[318/526], Loss: 0.7715
Epoch [48/100], Step[319/526], Loss: 0.3573
Epoch [48/100], Step[320/526], Loss: 0.6249
Epoch [48/100], Step[321/526], Loss: 0.7021
Epoch [48/100], Step[322/526], Loss: 0.2696
Epoch [48/100], Step[323/526], Loss: 0.6157
Epoch [48/100], Step[324/526], Loss: 0.6536
Epoch [48/100], Step[325/526], Loss: 0.5877
Epoch [48/100], Step[326/526], Loss: 0.7527
Epoch [48/100], Step[327/526], Loss: 0.7283
Epoch [48/100], Step[328/526], Loss: 0.9316
Epoch [48/100], Step[329/526], Loss: 1.2737
Epoch [48/100], Step[330/526], Loss: 1.0387
Epoch [48/100], Step[331/526], Loss: 0.7841
Epoch [48/100], Step[332/526], Loss: 0.8250
Epoch [48/100], Step[333/526], Loss: 0.7730
Epoch [48/100], Step[334/526], Loss: 0.7686
Epoch [48/100], Step[335/526], Loss: 0.7821
Epoch [48/100], Step[336/526], Loss: 0.6932
Epoch [48/100], Step[337/526], Loss: 0.5945
Epoch [48/100], Step[338/526], Loss: 0.7059
Epoch [48/100], Step[339/526], Loss: 0.6404
Epoch [48/100], Step[340/526], Loss: 0.7210
Epoch [48/100], Step[341/526], Loss: 0.7659
Epoch [48/100], Step[342/526], Loss: 0.7806
Epoch [48/100], Step[343/526], Loss: 0.5391
Epoch [48/100], Step[344/526], Loss: 0.7277
Epoch [48/100], Step[345/526], Loss: 0.6524
Epoch [48/100], Step[346/526], Loss: 0.6674
Epoch [48/100], Step[347/526], Loss: 0.7113
Epoch [48/100], Step[348/526], Loss: 0.6306
Epoch [48/100], Step[349/526], Loss: 0.5814
Epoch [48/100], Step[350/526], Loss: 0.6710
Epoch [48/100], Step[351/526], Loss: 0.7150
Epoch [48/100], Step[352/526], Loss: 0.6115
Epoch [48/100], Step[353/526], Loss: 0.6849
Epoch [48/100], Step[354/526], Loss: 0.6712
Epoch [48/100], Step[355/526], Loss: 0.6727
Epoch [48/100], Step[356/526], Loss: 0.7014
Epoch [48/100], Step[357/526], Loss: 0.6603
Epoch [48/100], Step[358/526], Loss: 0.7007
Epoch [48/100], Step[359/526], Loss: 0.6587
Epoch [48/100], Step[360/526], Loss: 0.6791
Epoch [48/100], Step[361/526], Loss: 0.7197
Epoch [48/100], Step[362/526], Loss: 0.7043
Epoch [48/100], Step[363/526], Loss: 0.6933
Epoch [48/100], Step[364/526], Loss: 0.7138
Epoch [48/100], Step[365/526], Loss: 0.7126
Epoch [48/100], Step[366/526], Loss: 0.6876
Epoch [48/100], Step[367/526], Loss: 0.6917
Epoch [48/100], Step[368/526], Loss: 0.6504
Epoch [48/100], Step[369/526], Loss: 0.6605
Epoch [48/100], Step[370/526], Loss: 0.6193
Epoch [48/100], Step[371/526], Loss: 0.7325
Epoch [48/100], Step[372/526], Loss: 0.6421
Epoch [48/100], Step[373/526], Loss: 0.6765
Epoch [48/100], Step[374/526], Loss: 0.7054
Epoch [48/100], Step[375/526], Loss: 0.6481
Epoch [48/100], Step[376/526], Loss: 0.6595
Epoch [48/100], Step[377/526], Loss: 0.6891
Epoch [48/100], Step[378/526], Loss: 0.6901
Epoch [48/100], Step[379/526], Loss: 0.7484
Epoch [48/100], Step[380/526], Loss: 0.6149
Epoch [48/100], Step[381/526], Loss: 0.5965
Epoch [48/100], Step[382/526], Loss: 0.6719
Epoch [48/100], Step[383/526], Loss: 0.6967
Epoch [48/100], Step[384/526], Loss: 0.6329
Epoch [48/100], Step[385/526], Loss: 0.6304
Epoch [48/100], Step[386/526], Loss: 0.6669
Epoch [48/100], Step[387/526], Loss: 0.6564
Epoch [48/100], Step[388/526], Loss: 0.5983
Epoch [48/100], Step[389/526], Loss: 0.7216
Epoch [48/100], Step[390/526], Loss: 0.5790
Epoch [48/100], Step[391/526], Loss: 0.6539
Epoch [48/100], Step[392/526], Loss: 0.6989
Epoch [48/100], Step[393/526], Loss: 0.5852
Epoch [48/100], Step[394/526], Loss: 0.5129
Epoch [48/100], Step[395/526], Loss: 0.6131
Epoch [48/100], Step[396/526], Loss: 0.6311
Epoch [48/100], Step[397/526], Loss: 0.4702
Epoch [48/100], Step[398/526], Loss: 0.6019
Epoch [48/100], Step[399/526], Loss: 0.6521
Epoch [48/100], Step[400/526], Loss: 0.4711
Epoch [48/100], Step[401/526], Loss: 0.5942
Epoch [48/100], Step[402/526], Loss: 0.6399
Epoch [48/100], Step[403/526], Loss: 0.7547
Epoch [48/100], Step[404/526], Loss: 0.4779
Epoch [48/100], Step[405/526], Loss: 0.5019
Epoch [48/100], Step[406/526], Loss: 0.6289
Epoch [48/100], Step[407/526], Loss: 0.7568
Epoch [48/100], Step[408/526], Loss: 0.6589
Epoch [48/100], Step[409/526], Loss: 0.4736
Epoch [48/100], Step[410/526], Loss: 0.4913
Epoch [48/100], Step[411/526], Loss: 0.5345
Epoch [48/100], Step[412/526], Loss: 0.5933
Epoch [48/100], Step[413/526], Loss: 0.5937
Epoch [48/100], Step[414/526], Loss: 0.6408
Epoch [48/100], Step[415/526], Loss: 0.6105
Epoch [48/100], Step[416/526], Loss: 0.5450
Epoch [48/100], Step[417/526], Loss: 0.4494
Epoch [48/100], Step[418/526], Loss: 0.7467
Epoch [48/100], Step[419/526], Loss: 0.6851
Epoch [48/100], Step[420/526], Loss: 0.6850
Epoch [48/100], Step[421/526], Loss: 0.6398
Epoch [48/100], Step[422/526], Loss: 0.7717
Epoch [48/100], Step[423/526], Loss: 0.7009
Epoch [48/100], Step[424/526], Loss: 0.7405
Epoch [48/100], Step[425/526], Loss: 0.7011
Epoch [48/100], Step[426/526], Loss: 0.7591
Epoch [48/100], Step[427/526], Loss: 0.7083
Epoch [48/100], Step[428/526], Loss: 0.7146
Epoch [48/100], Step[429/526], Loss: 0.7235
Epoch [48/100], Step[430/526], Loss: 0.7785
Epoch [48/100], Step[431/526], Loss: 0.7056
Epoch [48/100], Step[432/526], Loss: 0.7283
Epoch [48/100], Step[433/526], Loss: 0.6785
Epoch [48/100], Step[434/526], Loss: 0.6118
Epoch [48/100], Step[435/526], Loss: 0.7790
Epoch [48/100], Step[436/526], Loss: 0.8005
Epoch [48/100], Step[437/526], Loss: 0.4910
Epoch [48/100], Step[438/526], Loss: 0.3632
Epoch [48/100], Step[439/526], Loss: 0.7223
Epoch [48/100], Step[440/526], Loss: 0.6882
Epoch [48/100], Step[441/526], Loss: 0.6810
Epoch [48/100], Step[442/526], Loss: 0.6436
Epoch [48/100], Step[443/526], Loss: 0.6717
Epoch [48/100], Step[444/526], Loss: 0.7516
Epoch [48/100], Step[445/526], Loss: 0.7018
Epoch [48/100], Step[446/526], Loss: 0.7126
Epoch [48/100], Step[447/526], Loss: 0.7140
Epoch [48/100], Step[448/526], Loss: 0.7211
Epoch [48/100], Step[449/526], Loss: 0.6711
Epoch [48/100], Step[450/526], Loss: 0.6008
Epoch [48/100], Step[451/526], Loss: 0.6642
Epoch [48/100], Step[452/526], Loss: 0.7244
Epoch [48/100], Step[453/526], Loss: 0.7001
Epoch [48/100], Step[454/526], Loss: 0.8299
Epoch [48/100], Step[455/526], Loss: 0.6516
Epoch [48/100], Step[456/526], Loss: 0.6490
Epoch [48/100], Step[457/526], Loss: 0.7189
Epoch [48/100], Step[458/526], Loss: 0.6727
Epoch [48/100], Step[459/526], Loss: 0.6595
Epoch [48/100], Step[460/526], Loss: 0.6413
Epoch [48/100], Step[461/526], Loss: 0.6119
Epoch [48/100], Step[462/526], Loss: 0.6769
Epoch [48/100], Step[463/526], Loss: 0.6487
Epoch [48/100], Step[464/526], Loss: 0.6429
Epoch [48/100], Step[465/526], Loss: 0.6604
Epoch [48/100], Step[466/526], Loss: 0.6621
Epoch [48/100], Step[467/526], Loss: 0.6526
Epoch [48/100], Step[468/526], Loss: 0.6163
Epoch [48/100], Step[469/526], Loss: 0.8065
Epoch [48/100], Step[470/526], Loss: 0.6569
Epoch [48/100], Step[471/526], Loss: 0.6886
Epoch [48/100], Step[472/526], Loss: 0.6712
Epoch [48/100], Step[473/526], Loss: 0.6780
Epoch [48/100], Step[474/526], Loss: 0.6783
Epoch [48/100], Step[475/526], Loss: 0.8436
Epoch [48/100], Step[476/526], Loss: 0.7462
Epoch [48/100], Step[477/526], Loss: 0.6963
Epoch [48/100], Step[478/526], Loss: 0.6775
Epoch [48/100], Step[479/526], Loss: 0.6605
Epoch [48/100], Step[480/526], Loss: 0.7391
Epoch [48/100], Step[481/526], Loss: 0.7293
Epoch [48/100], Step[482/526], Loss: 0.6170
Epoch [48/100], Step[483/526], Loss: 0.5350
Epoch [48/100], Step[484/526], Loss: 0.6927
Epoch [48/100], Step[485/526], Loss: 0.7530
Epoch [48/100], Step[486/526], Loss: 0.7264
Epoch [48/100], Step[487/526], Loss: 0.7269
Epoch [48/100], Step[488/526], Loss: 0.7006
Epoch [48/100], Step[489/526], Loss: 0.6308
Epoch [48/100], Step[490/526], Loss: 0.6115
Epoch [48/100], Step[491/526], Loss: 0.7014
Epoch [48/100], Step[492/526], Loss: 0.6280
Epoch [48/100], Step[493/526], Loss: 0.6416
Epoch [48/100], Step[494/526], Loss: 0.6652
Epoch [48/100], Step[495/526], Loss: 0.6897
Epoch [48/100], Step[496/526], Loss: 0.6665
Epoch [48/100], Step[497/526], Loss: 0.6343
Epoch [48/100], Step[498/526], Loss: 0.6746
Epoch [48/100], Step[499/526], Loss: 0.6697
Epoch [48/100], Step[500/526], Loss: 0.7078
Epoch [48/100], Step[501/526], Loss: 0.6547
Epoch [48/100], Step[502/526], Loss: 0.6999
Epoch [48/100], Step[503/526], Loss: 0.7125
Epoch [48/100], Step[504/526], Loss: 0.6971
Epoch [48/100], Step[505/526], Loss: 0.7100
Epoch [48/100], Step[506/526], Loss: 0.6805
Epoch [48/100], Step[507/526], Loss: 0.6683
Epoch [48/100], Step[508/526], Loss: 0.7011
Epoch [48/100], Step[509/526], Loss: 0.6543
Epoch [48/100], Step[510/526], Loss: 0.7043
Epoch [48/100], Step[511/526], Loss: 0.6445
Epoch [48/100], Step[512/526], Loss: 0.6675
Epoch [48/100], Step[513/526], Loss: 0.6444
Epoch [48/100], Step[514/526], Loss: 0.6545
Epoch [48/100], Step[515/526], Loss: 0.5731
Epoch [48/100], Step[516/526], Loss: 0.7540
Epoch [48/100], Step[517/526], Loss: 0.6866
Epoch [48/100], Step[518/526], Loss: 0.7293
Epoch [48/100], Step[519/526], Loss: 0.7143
Epoch [48/100], Step[520/526], Loss: 0.7469
Epoch [48/100], Step[521/526], Loss: 0.6831
Epoch [48/100], Step[522/526], Loss: 0.6058
Epoch [48/100], Step[523/526], Loss: 0.6645
Epoch [48/100], Step[524/526], Loss: 0.6480
Epoch [48/100], Step[525/526], Loss: 0.7467
Epoch [48/100], Step[526/526], Loss: 0.7061
Epoch [49/100], Step[1/526], Loss: 0.6574
Epoch [49/100], Step[2/526], Loss: 0.6405
Epoch [49/100], Step[3/526], Loss: 0.6795
Epoch [49/100], Step[4/526], Loss: 0.6302
Epoch [49/100], Step[5/526], Loss: 0.7389
Epoch [49/100], Step[6/526], Loss: 0.7514
Epoch [49/100], Step[7/526], Loss: 0.6987
Epoch [49/100], Step[8/526], Loss: 0.6823
Epoch [49/100], Step[9/526], Loss: 0.7098
Epoch [49/100], Step[10/526], Loss: 0.6761
Epoch [49/100], Step[11/526], Loss: 0.6694
Epoch [49/100], Step[12/526], Loss: 0.7254
Epoch [49/100], Step[13/526], Loss: 0.6244
Epoch [49/100], Step[14/526], Loss: 0.6589
Epoch [49/100], Step[15/526], Loss: 0.6862
Epoch [49/100], Step[16/526], Loss: 0.7052
Epoch [49/100], Step[17/526], Loss: 0.7136
Epoch [49/100], Step[18/526], Loss: 0.6800
Epoch [49/100], Step[19/526], Loss: 0.6762
Epoch [49/100], Step[20/526], Loss: 0.7163
Epoch [49/100], Step[21/526], Loss: 0.7540
Epoch [49/100], Step[22/526], Loss: 0.7292
Epoch [49/100], Step[23/526], Loss: 0.7376
Epoch [49/100], Step[24/526], Loss: 0.7142
Epoch [49/100], Step[25/526], Loss: 0.6915
Epoch [49/100], Step[26/526], Loss: 0.6336
Epoch [49/100], Step[27/526], Loss: 0.6821
Epoch [49/100], Step[28/526], Loss: 0.6866
Epoch [49/100], Step[29/526], Loss: 0.6506
Epoch [49/100], Step[30/526], Loss: 0.6904
Epoch [49/100], Step[31/526], Loss: 0.7043
Epoch [49/100], Step[32/526], Loss: 0.6669
Epoch [49/100], Step[33/526], Loss: 0.7068
Epoch [49/100], Step[34/526], Loss: 0.6958
Epoch [49/100], Step[35/526], Loss: 0.7109
Epoch [49/100], Step[36/526], Loss: 0.7007
Epoch [49/100], Step[37/526], Loss: 0.6918
Epoch [49/100], Step[38/526], Loss: 0.7121
Epoch [49/100], Step[39/526], Loss: 0.6919
Epoch [49/100], Step[40/526], Loss: 0.7172
Epoch [49/100], Step[41/526], Loss: 0.6610
Epoch [49/100], Step[42/526], Loss: 0.7277
Epoch [49/100], Step[43/526], Loss: 0.7185
Epoch [49/100], Step[44/526], Loss: 0.6863
Epoch [49/100], Step[45/526], Loss: 0.6919
Epoch [49/100], Step[46/526], Loss: 0.6868
Epoch [49/100], Step[47/526], Loss: 0.7055
Epoch [49/100], Step[48/526], Loss: 0.7259
Epoch [49/100], Step[49/526], Loss: 0.7070
Epoch [49/100], Step[50/526], Loss: 0.7003
Epoch [49/100], Step[51/526], Loss: 0.6944
Epoch [49/100], Step[52/526], Loss: 0.6767
Epoch [49/100], Step[53/526], Loss: 0.7099
Epoch [49/100], Step[54/526], Loss: 0.7126
Epoch [49/100], Step[55/526], Loss: 0.7172
Epoch [49/100], Step[56/526], Loss: 0.6935
Epoch [49/100], Step[57/526], Loss: 0.6837
Epoch [49/100], Step[58/526], Loss: 0.6810
Epoch [49/100], Step[59/526], Loss: 0.6550
Epoch [49/100], Step[60/526], Loss: 0.6675
Epoch [49/100], Step[61/526], Loss: 0.6619
Epoch [49/100], Step[62/526], Loss: 0.6989
Epoch [49/100], Step[63/526], Loss: 0.6888
Epoch [49/100], Step[64/526], Loss: 0.6760
Epoch [49/100], Step[65/526], Loss: 0.7257
Epoch [49/100], Step[66/526], Loss: 0.6836
Epoch [49/100], Step[67/526], Loss: 0.6494
Epoch [49/100], Step[68/526], Loss: 0.6548
Epoch [49/100], Step[69/526], Loss: 0.6951
Epoch [49/100], Step[70/526], Loss: 0.6831
Epoch [49/100], Step[71/526], Loss: 0.6690
Epoch [49/100], Step[72/526], Loss: 0.6841
Epoch [49/100], Step[73/526], Loss: 0.7133
Epoch [49/100], Step[74/526], Loss: 0.6581
Epoch [49/100], Step[75/526], Loss: 0.7039
Epoch [49/100], Step[76/526], Loss: 0.6884
Epoch [49/100], Step[77/526], Loss: 0.6974
Epoch [49/100], Step[78/526], Loss: 0.7094
Epoch [49/100], Step[79/526], Loss: 0.6909
Epoch [49/100], Step[80/526], Loss: 0.6900
Epoch [49/100], Step[81/526], Loss: 0.7030
Epoch [49/100], Step[82/526], Loss: 0.7289
Epoch [49/100], Step[83/526], Loss: 0.7041
Epoch [49/100], Step[84/526], Loss: 0.6981
Epoch [49/100], Step[85/526], Loss: 0.6618
Epoch [49/100], Step[86/526], Loss: 0.6976
Epoch [49/100], Step[87/526], Loss: 0.6826
Epoch [49/100], Step[88/526], Loss: 0.6873
Epoch [49/100], Step[89/526], Loss: 0.7210
Epoch [49/100], Step[90/526], Loss: 0.6839
Epoch [49/100], Step[91/526], Loss: 0.6844
Epoch [49/100], Step[92/526], Loss: 0.6800
Epoch [49/100], Step[93/526], Loss: 0.6882
Epoch [49/100], Step[94/526], Loss: 0.8021
Epoch [49/100], Step[95/526], Loss: 0.7166
Epoch [49/100], Step[96/526], Loss: 0.6248
Epoch [49/100], Step[97/526], Loss: 0.5932
Epoch [49/100], Step[98/526], Loss: 0.6852
Epoch [49/100], Step[99/526], Loss: 0.6862
Epoch [49/100], Step[100/526], Loss: 0.6692
Epoch [49/100], Step[101/526], Loss: 0.6579
Epoch [49/100], Step[102/526], Loss: 0.6333
Epoch [49/100], Step[103/526], Loss: 0.7042
Epoch [49/100], Step[104/526], Loss: 0.6523
Epoch [49/100], Step[105/526], Loss: 0.6368
Epoch [49/100], Step[106/526], Loss: 0.6893
Epoch [49/100], Step[107/526], Loss: 0.6356
Epoch [49/100], Step[108/526], Loss: 0.5769
Epoch [49/100], Step[109/526], Loss: 0.6687
Epoch [49/100], Step[110/526], Loss: 0.6826
Epoch [49/100], Step[111/526], Loss: 0.5921
Epoch [49/100], Step[112/526], Loss: 0.7355
Epoch [49/100], Step[113/526], Loss: 0.6057
Epoch [49/100], Step[114/526], Loss: 0.6597
Epoch [49/100], Step[115/526], Loss: 0.5978
Epoch [49/100], Step[116/526], Loss: 0.6268
Epoch [49/100], Step[117/526], Loss: 0.6646
Epoch [49/100], Step[118/526], Loss: 0.7587
Epoch [49/100], Step[119/526], Loss: 0.6777
Epoch [49/100], Step[120/526], Loss: 0.6817
Epoch [49/100], Step[121/526], Loss: 0.6921
Epoch [49/100], Step[122/526], Loss: 0.6252
Epoch [49/100], Step[123/526], Loss: 0.6457
Epoch [49/100], Step[124/526], Loss: 0.6720
Epoch [49/100], Step[125/526], Loss: 0.6336
Epoch [49/100], Step[126/526], Loss: 0.7220
Epoch [49/100], Step[127/526], Loss: 0.6754
Epoch [49/100], Step[128/526], Loss: 0.6443
Epoch [49/100], Step[129/526], Loss: 0.5958
Epoch [49/100], Step[130/526], Loss: 0.6164
Epoch [49/100], Step[131/526], Loss: 0.6677
Epoch [49/100], Step[132/526], Loss: 0.7150
Epoch [49/100], Step[133/526], Loss: 0.6721
Epoch [49/100], Step[134/526], Loss: 0.6295
Epoch [49/100], Step[135/526], Loss: 0.6436
Epoch [49/100], Step[136/526], Loss: 0.5668
Epoch [49/100], Step[137/526], Loss: 0.6405
Epoch [49/100], Step[138/526], Loss: 0.6470
Epoch [49/100], Step[139/526], Loss: 0.7000
Epoch [49/100], Step[140/526], Loss: 0.5944
Epoch [49/100], Step[141/526], Loss: 0.6788
Epoch [49/100], Step[142/526], Loss: 0.6642
Epoch [49/100], Step[143/526], Loss: 0.6881
Epoch [49/100], Step[144/526], Loss: 0.7771
Epoch [49/100], Step[145/526], Loss: 0.5501
Epoch [49/100], Step[146/526], Loss: 0.5116
Epoch [49/100], Step[147/526], Loss: 0.4578
Epoch [49/100], Step[148/526], Loss: 0.5911
Epoch [49/100], Step[149/526], Loss: 0.5004
Epoch [49/100], Step[150/526], Loss: 0.5824
Epoch [49/100], Step[151/526], Loss: 0.5634
Epoch [49/100], Step[152/526], Loss: 0.6250
Epoch [49/100], Step[153/526], Loss: 0.6372
Epoch [49/100], Step[154/526], Loss: 0.7207
Epoch [49/100], Step[155/526], Loss: 0.7363
Epoch [49/100], Step[156/526], Loss: 0.5372
Epoch [49/100], Step[157/526], Loss: 0.2711
Epoch [49/100], Step[158/526], Loss: 0.6160
Epoch [49/100], Step[159/526], Loss: 0.6676
Epoch [49/100], Step[160/526], Loss: 0.5558
Epoch [49/100], Step[161/526], Loss: 0.9244
Epoch [49/100], Step[162/526], Loss: 0.7016
Epoch [49/100], Step[163/526], Loss: 0.7127
Epoch [49/100], Step[164/526], Loss: 0.6203
Epoch [49/100], Step[165/526], Loss: 0.7209
Epoch [49/100], Step[166/526], Loss: 0.5118
Epoch [49/100], Step[167/526], Loss: 0.5430
Epoch [49/100], Step[168/526], Loss: 0.6749
Epoch [49/100], Step[169/526], Loss: 0.7430
Epoch [49/100], Step[170/526], Loss: 0.7029
Epoch [49/100], Step[171/526], Loss: 0.7317
Epoch [49/100], Step[172/526], Loss: 0.7129
Epoch [49/100], Step[173/526], Loss: 0.8157
Epoch [49/100], Step[174/526], Loss: 0.6148
Epoch [49/100], Step[175/526], Loss: 0.6632
Epoch [49/100], Step[176/526], Loss: 0.6238
Epoch [49/100], Step[177/526], Loss: 0.6615
Epoch [49/100], Step[178/526], Loss: 0.6868
Epoch [49/100], Step[179/526], Loss: 0.6290
Epoch [49/100], Step[180/526], Loss: 0.6736
Epoch [49/100], Step[181/526], Loss: 0.6432
Epoch [49/100], Step[182/526], Loss: 0.6778
Epoch [49/100], Step[183/526], Loss: 0.5327
Epoch [49/100], Step[184/526], Loss: 0.5941
Epoch [49/100], Step[185/526], Loss: 0.5950
Epoch [49/100], Step[186/526], Loss: 0.6563
Epoch [49/100], Step[187/526], Loss: 0.7453
Epoch [49/100], Step[188/526], Loss: 0.6986
Epoch [49/100], Step[189/526], Loss: 0.6776
Epoch [49/100], Step[190/526], Loss: 0.6443
Epoch [49/100], Step[191/526], Loss: 0.7118
Epoch [49/100], Step[192/526], Loss: 0.8210
Epoch [49/100], Step[193/526], Loss: 0.6527
Epoch [49/100], Step[194/526], Loss: 0.6162
Epoch [49/100], Step[195/526], Loss: 0.6445
Epoch [49/100], Step[196/526], Loss: 0.7354
Epoch [49/100], Step[197/526], Loss: 0.6911
Epoch [49/100], Step[198/526], Loss: 0.6367
Epoch [49/100], Step[199/526], Loss: 0.7344
Epoch [49/100], Step[200/526], Loss: 0.6784
Epoch [49/100], Step[201/526], Loss: 0.6743
Epoch [49/100], Step[202/526], Loss: 0.7459
Epoch [49/100], Step[203/526], Loss: 0.7052
Epoch [49/100], Step[204/526], Loss: 0.7233
Epoch [49/100], Step[205/526], Loss: 0.6984
Epoch [49/100], Step[206/526], Loss: 0.6832
Epoch [49/100], Step[207/526], Loss: 0.7111
Epoch [49/100], Step[208/526], Loss: 0.6823
Epoch [49/100], Step[209/526], Loss: 0.6818
Epoch [49/100], Step[210/526], Loss: 0.7609
Epoch [49/100], Step[211/526], Loss: 0.6304
Epoch [49/100], Step[212/526], Loss: 0.6872
Epoch [49/100], Step[213/526], Loss: 0.7233
Epoch [49/100], Step[214/526], Loss: 0.7441
Epoch [49/100], Step[215/526], Loss: 0.6937
Epoch [49/100], Step[216/526], Loss: 0.6775
Epoch [49/100], Step[217/526], Loss: 0.6742
Epoch [49/100], Step[218/526], Loss: 0.6981
Epoch [49/100], Step[219/526], Loss: 0.6911
Epoch [49/100], Step[220/526], Loss: 0.7248
Epoch [49/100], Step[221/526], Loss: 0.6943
Epoch [49/100], Step[222/526], Loss: 0.7389
Epoch [49/100], Step[223/526], Loss: 0.6798
Epoch [49/100], Step[224/526], Loss: 0.6825
Epoch [49/100], Step[225/526], Loss: 0.7205
Epoch [49/100], Step[226/526], Loss: 0.6747
Epoch [49/100], Step[227/526], Loss: 0.6684
Epoch [49/100], Step[228/526], Loss: 0.6629
Epoch [49/100], Step[229/526], Loss: 0.6875
Epoch [49/100], Step[230/526], Loss: 0.6631
Epoch [49/100], Step[231/526], Loss: 0.6670
Epoch [49/100], Step[232/526], Loss: 0.7083
Epoch [49/100], Step[233/526], Loss: 0.6838
Epoch [49/100], Step[234/526], Loss: 0.6767
Epoch [49/100], Step[235/526], Loss: 0.7042
Epoch [49/100], Step[236/526], Loss: 0.6950
Epoch [49/100], Step[237/526], Loss: 0.7161
Epoch [49/100], Step[238/526], Loss: 0.6806
Epoch [49/100], Step[239/526], Loss: 0.6683
Epoch [49/100], Step[240/526], Loss: 0.7270
Epoch [49/100], Step[241/526], Loss: 0.6957
Epoch [49/100], Step[242/526], Loss: 0.7097
Epoch [49/100], Step[243/526], Loss: 0.6295
Epoch [49/100], Step[244/526], Loss: 0.6531
Epoch [49/100], Step[245/526], Loss: 0.6431
Epoch [49/100], Step[246/526], Loss: 0.6650
Epoch [49/100], Step[247/526], Loss: 0.6236
Epoch [49/100], Step[248/526], Loss: 0.6569
Epoch [49/100], Step[249/526], Loss: 0.6673
Epoch [49/100], Step[250/526], Loss: 0.6819
Epoch [49/100], Step[251/526], Loss: 0.7041
Epoch [49/100], Step[252/526], Loss: 0.6940
Epoch [49/100], Step[253/526], Loss: 0.6327
Epoch [49/100], Step[254/526], Loss: 0.6626
Epoch [49/100], Step[255/526], Loss: 0.6043
Epoch [49/100], Step[256/526], Loss: 0.6889
Epoch [49/100], Step[257/526], Loss: 0.6704
Epoch [49/100], Step[258/526], Loss: 0.6293
Epoch [49/100], Step[259/526], Loss: 0.6840
Epoch [49/100], Step[260/526], Loss: 0.7421
Epoch [49/100], Step[261/526], Loss: 0.7483
Epoch [49/100], Step[262/526], Loss: 0.6783
Epoch [49/100], Step[263/526], Loss: 0.6649
Epoch [49/100], Step[264/526], Loss: 0.6531
Epoch [49/100], Step[265/526], Loss: 0.6336
Epoch [49/100], Step[266/526], Loss: 0.6371
Epoch [49/100], Step[267/526], Loss: 0.5023
Epoch [49/100], Step[268/526], Loss: 0.5439
Epoch [49/100], Step[269/526], Loss: 0.4535
Epoch [49/100], Step[270/526], Loss: 0.3824
Epoch [49/100], Step[271/526], Loss: 0.5097
Epoch [49/100], Step[272/526], Loss: 0.5313
Epoch [49/100], Step[273/526], Loss: 0.6315
Epoch [49/100], Step[274/526], Loss: 0.4286
Epoch [49/100], Step[275/526], Loss: 0.4186
Epoch [49/100], Step[276/526], Loss: 0.4656
Epoch [49/100], Step[277/526], Loss: 0.4215
Epoch [49/100], Step[278/526], Loss: 0.4551
Epoch [49/100], Step[279/526], Loss: 0.4061
Epoch [49/100], Step[280/526], Loss: 0.4447
Epoch [49/100], Step[281/526], Loss: 0.6273
Epoch [49/100], Step[282/526], Loss: 0.3565
Epoch [49/100], Step[283/526], Loss: 0.3651
Epoch [49/100], Step[284/526], Loss: 0.3985
Epoch [49/100], Step[285/526], Loss: 0.2735
Epoch [49/100], Step[286/526], Loss: 0.7007
Epoch [49/100], Step[287/526], Loss: 0.4786
Epoch [49/100], Step[288/526], Loss: 0.4330
Epoch [49/100], Step[289/526], Loss: 0.6176
Epoch [49/100], Step[290/526], Loss: 0.4231
Epoch [49/100], Step[291/526], Loss: 0.4825
Epoch [49/100], Step[292/526], Loss: 0.2559
Epoch [49/100], Step[293/526], Loss: 0.3055
Epoch [49/100], Step[294/526], Loss: 0.3186
Epoch [49/100], Step[295/526], Loss: 0.4230
Epoch [49/100], Step[296/526], Loss: 0.6244
Epoch [49/100], Step[297/526], Loss: 0.2959
Epoch [49/100], Step[298/526], Loss: 0.2856
Epoch [49/100], Step[299/526], Loss: 0.2364
Epoch [49/100], Step[300/526], Loss: 0.2846
Epoch [49/100], Step[301/526], Loss: 0.6219
Epoch [49/100], Step[302/526], Loss: 0.3242
Epoch [49/100], Step[303/526], Loss: 0.4719
Epoch [49/100], Step[304/526], Loss: 0.2584
Epoch [49/100], Step[305/526], Loss: 0.2589
Epoch [49/100], Step[306/526], Loss: 0.5799
Epoch [49/100], Step[307/526], Loss: 0.8930
Epoch [49/100], Step[308/526], Loss: 1.3180
Epoch [49/100], Step[309/526], Loss: 0.8324
Epoch [49/100], Step[310/526], Loss: 0.9566
Epoch [49/100], Step[311/526], Loss: 0.8210
Epoch [49/100], Step[312/526], Loss: 0.4886
Epoch [49/100], Step[313/526], Loss: 0.4870
Epoch [49/100], Step[314/526], Loss: 0.6538
Epoch [49/100], Step[315/526], Loss: 0.7020
Epoch [49/100], Step[316/526], Loss: 0.4924
Epoch [49/100], Step[317/526], Loss: 0.3250
Epoch [49/100], Step[318/526], Loss: 0.7717
Epoch [49/100], Step[319/526], Loss: 0.3576
Epoch [49/100], Step[320/526], Loss: 0.6239
Epoch [49/100], Step[321/526], Loss: 0.7051
Epoch [49/100], Step[322/526], Loss: 0.2704
Epoch [49/100], Step[323/526], Loss: 0.6155
Epoch [49/100], Step[324/526], Loss: 0.6534
Epoch [49/100], Step[325/526], Loss: 0.5872
Epoch [49/100], Step[326/526], Loss: 0.7544
Epoch [49/100], Step[327/526], Loss: 0.7286
Epoch [49/100], Step[328/526], Loss: 0.9325
Epoch [49/100], Step[329/526], Loss: 1.2807
Epoch [49/100], Step[330/526], Loss: 1.0423
Epoch [49/100], Step[331/526], Loss: 0.7839
Epoch [49/100], Step[332/526], Loss: 0.8268
Epoch [49/100], Step[333/526], Loss: 0.7729
Epoch [49/100], Step[334/526], Loss: 0.7692
Epoch [49/100], Step[335/526], Loss: 0.7821
Epoch [49/100], Step[336/526], Loss: 0.6939
Epoch [49/100], Step[337/526], Loss: 0.5945
Epoch [49/100], Step[338/526], Loss: 0.7064
Epoch [49/100], Step[339/526], Loss: 0.6404
Epoch [49/100], Step[340/526], Loss: 0.7212
Epoch [49/100], Step[341/526], Loss: 0.7664
Epoch [49/100], Step[342/526], Loss: 0.7807
Epoch [49/100], Step[343/526], Loss: 0.5390
Epoch [49/100], Step[344/526], Loss: 0.7285
Epoch [49/100], Step[345/526], Loss: 0.6523
Epoch [49/100], Step[346/526], Loss: 0.6685
Epoch [49/100], Step[347/526], Loss: 0.7115
Epoch [49/100], Step[348/526], Loss: 0.6305
Epoch [49/100], Step[349/526], Loss: 0.5801
Epoch [49/100], Step[350/526], Loss: 0.6711
Epoch [49/100], Step[351/526], Loss: 0.7149
Epoch [49/100], Step[352/526], Loss: 0.6100
Epoch [49/100], Step[353/526], Loss: 0.6850
Epoch [49/100], Step[354/526], Loss: 0.6709
Epoch [49/100], Step[355/526], Loss: 0.6725
Epoch [49/100], Step[356/526], Loss: 0.7034
Epoch [49/100], Step[357/526], Loss: 0.6603
Epoch [49/100], Step[358/526], Loss: 0.6978
Epoch [49/100], Step[359/526], Loss: 0.6604
Epoch [49/100], Step[360/526], Loss: 0.6792
Epoch [49/100], Step[361/526], Loss: 0.7208
Epoch [49/100], Step[362/526], Loss: 0.7043
Epoch [49/100], Step[363/526], Loss: 0.6934
Epoch [49/100], Step[364/526], Loss: 0.7142
Epoch [49/100], Step[365/526], Loss: 0.7125
Epoch [49/100], Step[366/526], Loss: 0.6871
Epoch [49/100], Step[367/526], Loss: 0.6919
Epoch [49/100], Step[368/526], Loss: 0.6504
Epoch [49/100], Step[369/526], Loss: 0.6604
Epoch [49/100], Step[370/526], Loss: 0.6259
Epoch [49/100], Step[371/526], Loss: 0.7325
Epoch [49/100], Step[372/526], Loss: 0.6419
Epoch [49/100], Step[373/526], Loss: 0.6771
Epoch [49/100], Step[374/526], Loss: 0.7087
Epoch [49/100], Step[375/526], Loss: 0.6482
Epoch [49/100], Step[376/526], Loss: 0.6735
Epoch [49/100], Step[377/526], Loss: 0.6899
Epoch [49/100], Step[378/526], Loss: 0.6904
Epoch [49/100], Step[379/526], Loss: 0.7484
Epoch [49/100], Step[380/526], Loss: 0.6188
Epoch [49/100], Step[381/526], Loss: 0.5977
Epoch [49/100], Step[382/526], Loss: 0.6726
Epoch [49/100], Step[383/526], Loss: 0.6970
Epoch [49/100], Step[384/526], Loss: 0.6271
Epoch [49/100], Step[385/526], Loss: 0.6409
Epoch [49/100], Step[386/526], Loss: 0.6675
Epoch [49/100], Step[387/526], Loss: 0.6572
Epoch [49/100], Step[388/526], Loss: 0.5974
Epoch [49/100], Step[389/526], Loss: 0.7186
Epoch [49/100], Step[390/526], Loss: 0.5867
Epoch [49/100], Step[391/526], Loss: 0.6550
Epoch [49/100], Step[392/526], Loss: 0.6994
Epoch [49/100], Step[393/526], Loss: 0.5862
Epoch [49/100], Step[394/526], Loss: 0.5143
Epoch [49/100], Step[395/526], Loss: 0.6307
Epoch [49/100], Step[396/526], Loss: 0.6313
Epoch [49/100], Step[397/526], Loss: 0.4690
Epoch [49/100], Step[398/526], Loss: 0.5998
Epoch [49/100], Step[399/526], Loss: 0.6518
Epoch [49/100], Step[400/526], Loss: 0.4731
Epoch [49/100], Step[401/526], Loss: 0.5954
Epoch [49/100], Step[402/526], Loss: 0.6403
Epoch [49/100], Step[403/526], Loss: 0.7275
Epoch [49/100], Step[404/526], Loss: 0.4792
Epoch [49/100], Step[405/526], Loss: 0.5029
Epoch [49/100], Step[406/526], Loss: 0.6280
Epoch [49/100], Step[407/526], Loss: 0.7554
Epoch [49/100], Step[408/526], Loss: 0.6532
Epoch [49/100], Step[409/526], Loss: 0.4752
Epoch [49/100], Step[410/526], Loss: 0.4929
Epoch [49/100], Step[411/526], Loss: 0.5356
Epoch [49/100], Step[412/526], Loss: 0.5947
Epoch [49/100], Step[413/526], Loss: 0.5942
Epoch [49/100], Step[414/526], Loss: 0.6417
Epoch [49/100], Step[415/526], Loss: 0.6092
Epoch [49/100], Step[416/526], Loss: 0.5450
Epoch [49/100], Step[417/526], Loss: 0.4542
Epoch [49/100], Step[418/526], Loss: 0.7429
Epoch [49/100], Step[419/526], Loss: 0.6856
Epoch [49/100], Step[420/526], Loss: 0.6842
Epoch [49/100], Step[421/526], Loss: 0.6410
Epoch [49/100], Step[422/526], Loss: 0.7720
Epoch [49/100], Step[423/526], Loss: 0.7002
Epoch [49/100], Step[424/526], Loss: 0.7411
Epoch [49/100], Step[425/526], Loss: 0.7008
Epoch [49/100], Step[426/526], Loss: 0.7586
Epoch [49/100], Step[427/526], Loss: 0.7087
Epoch [49/100], Step[428/526], Loss: 0.7142
Epoch [49/100], Step[429/526], Loss: 0.7242
Epoch [49/100], Step[430/526], Loss: 0.7889
Epoch [49/100], Step[431/526], Loss: 0.7039
Epoch [49/100], Step[432/526], Loss: 0.7280
Epoch [49/100], Step[433/526], Loss: 0.6730
Epoch [49/100], Step[434/526], Loss: 0.6112
Epoch [49/100], Step[435/526], Loss: 0.7785
Epoch [49/100], Step[436/526], Loss: 0.8062
Epoch [49/100], Step[437/526], Loss: 0.4909
Epoch [49/100], Step[438/526], Loss: 0.3623
Epoch [49/100], Step[439/526], Loss: 0.7225
Epoch [49/100], Step[440/526], Loss: 0.6863
Epoch [49/100], Step[441/526], Loss: 0.6922
Epoch [49/100], Step[442/526], Loss: 0.6424
Epoch [49/100], Step[443/526], Loss: 0.6710
Epoch [49/100], Step[444/526], Loss: 0.7515
Epoch [49/100], Step[445/526], Loss: 0.7041
Epoch [49/100], Step[446/526], Loss: 0.7117
Epoch [49/100], Step[447/526], Loss: 0.7166
Epoch [49/100], Step[448/526], Loss: 0.7192
Epoch [49/100], Step[449/526], Loss: 0.6716
Epoch [49/100], Step[450/526], Loss: 0.6046
Epoch [49/100], Step[451/526], Loss: 0.6639
Epoch [49/100], Step[452/526], Loss: 0.7239
Epoch [49/100], Step[453/526], Loss: 0.7018
Epoch [49/100], Step[454/526], Loss: 0.8285
Epoch [49/100], Step[455/526], Loss: 0.6570
Epoch [49/100], Step[456/526], Loss: 0.6419
Epoch [49/100], Step[457/526], Loss: 0.7069
Epoch [49/100], Step[458/526], Loss: 0.6670
Epoch [49/100], Step[459/526], Loss: 0.6617
Epoch [49/100], Step[460/526], Loss: 0.6421
Epoch [49/100], Step[461/526], Loss: 0.6117
Epoch [49/100], Step[462/526], Loss: 0.6760
Epoch [49/100], Step[463/526], Loss: 0.6467
Epoch [49/100], Step[464/526], Loss: 0.6390
Epoch [49/100], Step[465/526], Loss: 0.6578
Epoch [49/100], Step[466/526], Loss: 0.6616
Epoch [49/100], Step[467/526], Loss: 0.6506
Epoch [49/100], Step[468/526], Loss: 0.6138
Epoch [49/100], Step[469/526], Loss: 0.8075
Epoch [49/100], Step[470/526], Loss: 0.6564
Epoch [49/100], Step[471/526], Loss: 0.6859
Epoch [49/100], Step[472/526], Loss: 0.6695
Epoch [49/100], Step[473/526], Loss: 0.6768
Epoch [49/100], Step[474/526], Loss: 0.6843
Epoch [49/100], Step[475/526], Loss: 0.8487
Epoch [49/100], Step[476/526], Loss: 0.7767
Epoch [49/100], Step[477/526], Loss: 0.7021
Epoch [49/100], Step[478/526], Loss: 0.6694
Epoch [49/100], Step[479/526], Loss: 0.6550
Epoch [49/100], Step[480/526], Loss: 0.7237
Epoch [49/100], Step[481/526], Loss: 0.7444
Epoch [49/100], Step[482/526], Loss: 0.6498
Epoch [49/100], Step[483/526], Loss: 0.5427
Epoch [49/100], Step[484/526], Loss: 0.6907
Epoch [49/100], Step[485/526], Loss: 0.7385
Epoch [49/100], Step[486/526], Loss: 0.7282
Epoch [49/100], Step[487/526], Loss: 0.7227
Epoch [49/100], Step[488/526], Loss: 0.7069
Epoch [49/100], Step[489/526], Loss: 0.6353
Epoch [49/100], Step[490/526], Loss: 0.6140
Epoch [49/100], Step[491/526], Loss: 0.6994
Epoch [49/100], Step[492/526], Loss: 0.6290
Epoch [49/100], Step[493/526], Loss: 0.6414
Epoch [49/100], Step[494/526], Loss: 0.6648
Epoch [49/100], Step[495/526], Loss: 0.6878
Epoch [49/100], Step[496/526], Loss: 0.6638
Epoch [49/100], Step[497/526], Loss: 0.6360
Epoch [49/100], Step[498/526], Loss: 0.6742
Epoch [49/100], Step[499/526], Loss: 0.6691
Epoch [49/100], Step[500/526], Loss: 0.6977
Epoch [49/100], Step[501/526], Loss: 0.6555
Epoch [49/100], Step[502/526], Loss: 0.7014
Epoch [49/100], Step[503/526], Loss: 0.7146
Epoch [49/100], Step[504/526], Loss: 0.6993
Epoch [49/100], Step[505/526], Loss: 0.7116
Epoch [49/100], Step[506/526], Loss: 0.6775
Epoch [49/100], Step[507/526], Loss: 0.6673
Epoch [49/100], Step[508/526], Loss: 0.6985
Epoch [49/100], Step[509/526], Loss: 0.6506
Epoch [49/100], Step[510/526], Loss: 0.7023
Epoch [49/100], Step[511/526], Loss: 0.6396
Epoch [49/100], Step[512/526], Loss: 0.6594
Epoch [49/100], Step[513/526], Loss: 0.6466
Epoch [49/100], Step[514/526], Loss: 0.6550
Epoch [49/100], Step[515/526], Loss: 0.5743
Epoch [49/100], Step[516/526], Loss: 0.7544
Epoch [49/100], Step[517/526], Loss: 0.6870
Epoch [49/100], Step[518/526], Loss: 0.7262
Epoch [49/100], Step[519/526], Loss: 0.7496
Epoch [49/100], Step[520/526], Loss: 0.7539
Epoch [49/100], Step[521/526], Loss: 0.6826
Epoch [49/100], Step[522/526], Loss: 0.6074
Epoch [49/100], Step[523/526], Loss: 0.6653
Epoch [49/100], Step[524/526], Loss: 0.6484
Epoch [49/100], Step[525/526], Loss: 0.7488
Epoch [49/100], Step[526/526], Loss: 0.7075
Epoch [50/100], Step[1/526], Loss: 0.6567
Epoch [50/100], Step[2/526], Loss: 0.6388
Epoch [50/100], Step[3/526], Loss: 0.6780
Epoch [50/100], Step[4/526], Loss: 0.6276
Epoch [50/100], Step[5/526], Loss: 0.7388
Epoch [50/100], Step[6/526], Loss: 0.7567
Epoch [50/100], Step[7/526], Loss: 0.6951
Epoch [50/100], Step[8/526], Loss: 0.6765
Epoch [50/100], Step[9/526], Loss: 0.6980
Epoch [50/100], Step[10/526], Loss: 0.6604
Epoch [50/100], Step[11/526], Loss: 0.7120
Epoch [50/100], Step[12/526], Loss: 0.7572
Epoch [50/100], Step[13/526], Loss: 0.6259
Epoch [50/100], Step[14/526], Loss: 0.6611
Epoch [50/100], Step[15/526], Loss: 0.6840
Epoch [50/100], Step[16/526], Loss: 0.7090
Epoch [50/100], Step[17/526], Loss: 0.7184
Epoch [50/100], Step[18/526], Loss: 0.6780
Epoch [50/100], Step[19/526], Loss: 0.6860
Epoch [50/100], Step[20/526], Loss: 0.7372
Epoch [50/100], Step[21/526], Loss: 0.7526
Epoch [50/100], Step[22/526], Loss: 0.7255
Epoch [50/100], Step[23/526], Loss: 0.7335
Epoch [50/100], Step[24/526], Loss: 0.7153
Epoch [50/100], Step[25/526], Loss: 0.6828
Epoch [50/100], Step[26/526], Loss: 0.6197
Epoch [50/100], Step[27/526], Loss: 0.6796
Epoch [50/100], Step[28/526], Loss: 0.6962
Epoch [50/100], Step[29/526], Loss: 0.6401
Epoch [50/100], Step[30/526], Loss: 0.6985
Epoch [50/100], Step[31/526], Loss: 0.7017
Epoch [50/100], Step[32/526], Loss: 0.6625
Epoch [50/100], Step[33/526], Loss: 0.7049
Epoch [50/100], Step[34/526], Loss: 0.6914
Epoch [50/100], Step[35/526], Loss: 0.7097
Epoch [50/100], Step[36/526], Loss: 0.6911
Epoch [50/100], Step[37/526], Loss: 0.6932
Epoch [50/100], Step[38/526], Loss: 0.7130
Epoch [50/100], Step[39/526], Loss: 0.6933
Epoch [50/100], Step[40/526], Loss: 0.7067
Epoch [50/100], Step[41/526], Loss: 0.6601
Epoch [50/100], Step[42/526], Loss: 0.7275
Epoch [50/100], Step[43/526], Loss: 0.7180
Epoch [50/100], Step[44/526], Loss: 0.6864
Epoch [50/100], Step[45/526], Loss: 0.6907
Epoch [50/100], Step[46/526], Loss: 0.6851
Epoch [50/100], Step[47/526], Loss: 0.7094
Epoch [50/100], Step[48/526], Loss: 0.7248
Epoch [50/100], Step[49/526], Loss: 0.7141
Epoch [50/100], Step[50/526], Loss: 0.6887
Epoch [50/100], Step[51/526], Loss: 0.6945
Epoch [50/100], Step[52/526], Loss: 0.6739
Epoch [50/100], Step[53/526], Loss: 0.7031
Epoch [50/100], Step[54/526], Loss: 0.7155
Epoch [50/100], Step[55/526], Loss: 0.7286
Epoch [50/100], Step[56/526], Loss: 0.6923
Epoch [50/100], Step[57/526], Loss: 0.6840
Epoch [50/100], Step[58/526], Loss: 0.6858
Epoch [50/100], Step[59/526], Loss: 0.6468
Epoch [50/100], Step[60/526], Loss: 0.6694
Epoch [50/100], Step[61/526], Loss: 0.6701
Epoch [50/100], Step[62/526], Loss: 0.6988
Epoch [50/100], Step[63/526], Loss: 0.6907
Epoch [50/100], Step[64/526], Loss: 0.6746
Epoch [50/100], Step[65/526], Loss: 0.7350
Epoch [50/100], Step[66/526], Loss: 0.6833
Epoch [50/100], Step[67/526], Loss: 0.6479
Epoch [50/100], Step[68/526], Loss: 0.6588
Epoch [50/100], Step[69/526], Loss: 0.6946
Epoch [50/100], Step[70/526], Loss: 0.6817
Epoch [50/100], Step[71/526], Loss: 0.6711
Epoch [50/100], Step[72/526], Loss: 0.6848
Epoch [50/100], Step[73/526], Loss: 0.7158
Epoch [50/100], Step[74/526], Loss: 0.6572
Epoch [50/100], Step[75/526], Loss: 0.7009
Epoch [50/100], Step[76/526], Loss: 0.6897
Epoch [50/100], Step[77/526], Loss: 0.6977
Epoch [50/100], Step[78/526], Loss: 0.7105
Epoch [50/100], Step[79/526], Loss: 0.6911
Epoch [50/100], Step[80/526], Loss: 0.6889
Epoch [50/100], Step[81/526], Loss: 0.7039
Epoch [50/100], Step[82/526], Loss: 0.7313
Epoch [50/100], Step[83/526], Loss: 0.7050
Epoch [50/100], Step[84/526], Loss: 0.6949
Epoch [50/100], Step[85/526], Loss: 0.6631
Epoch [50/100], Step[86/526], Loss: 0.6981
Epoch [50/100], Step[87/526], Loss: 0.6890
Epoch [50/100], Step[88/526], Loss: 0.6885
Epoch [50/100], Step[89/526], Loss: 0.7209
Epoch [50/100], Step[90/526], Loss: 0.6838
Epoch [50/100], Step[91/526], Loss: 0.6839
Epoch [50/100], Step[92/526], Loss: 0.6796
Epoch [50/100], Step[93/526], Loss: 0.6884
Epoch [50/100], Step[94/526], Loss: 0.8016
Epoch [50/100], Step[95/526], Loss: 0.7163
Epoch [50/100], Step[96/526], Loss: 0.6232
Epoch [50/100], Step[97/526], Loss: 0.5908
Epoch [50/100], Step[98/526], Loss: 0.6849
Epoch [50/100], Step[99/526], Loss: 0.6873
Epoch [50/100], Step[100/526], Loss: 0.6638
Epoch [50/100], Step[101/526], Loss: 0.6577
Epoch [50/100], Step[102/526], Loss: 0.6325
Epoch [50/100], Step[103/526], Loss: 0.7076
Epoch [50/100], Step[104/526], Loss: 0.6515
Epoch [50/100], Step[105/526], Loss: 0.6350
Epoch [50/100], Step[106/526], Loss: 0.6893
Epoch [50/100], Step[107/526], Loss: 0.6350
Epoch [50/100], Step[108/526], Loss: 0.5766
Epoch [50/100], Step[109/526], Loss: 0.6673
Epoch [50/100], Step[110/526], Loss: 0.6838
Epoch [50/100], Step[111/526], Loss: 0.5905
Epoch [50/100], Step[112/526], Loss: 0.7364
Epoch [50/100], Step[113/526], Loss: 0.6047
Epoch [50/100], Step[114/526], Loss: 0.6593
Epoch [50/100], Step[115/526], Loss: 0.5973
Epoch [50/100], Step[116/526], Loss: 0.6268
Epoch [50/100], Step[117/526], Loss: 0.6654
Epoch [50/100], Step[118/526], Loss: 0.7594
Epoch [50/100], Step[119/526], Loss: 0.6781
Epoch [50/100], Step[120/526], Loss: 0.6822
Epoch [50/100], Step[121/526], Loss: 0.6908
Epoch [50/100], Step[122/526], Loss: 0.6258
Epoch [50/100], Step[123/526], Loss: 0.6458
Epoch [50/100], Step[124/526], Loss: 0.6717
Epoch [50/100], Step[125/526], Loss: 0.6330
Epoch [50/100], Step[126/526], Loss: 0.7220
Epoch [50/100], Step[127/526], Loss: 0.6752
Epoch [50/100], Step[128/526], Loss: 0.6442
Epoch [50/100], Step[129/526], Loss: 0.5985
Epoch [50/100], Step[130/526], Loss: 0.6145
Epoch [50/100], Step[131/526], Loss: 0.6681
Epoch [50/100], Step[132/526], Loss: 0.7147
Epoch [50/100], Step[133/526], Loss: 0.6741
Epoch [50/100], Step[134/526], Loss: 0.6310
Epoch [50/100], Step[135/526], Loss: 0.6434
Epoch [50/100], Step[136/526], Loss: 0.5662
Epoch [50/100], Step[137/526], Loss: 0.6449
Epoch [50/100], Step[138/526], Loss: 0.6481
Epoch [50/100], Step[139/526], Loss: 0.6993
Epoch [50/100], Step[140/526], Loss: 0.5962
Epoch [50/100], Step[141/526], Loss: 0.6785
Epoch [50/100], Step[142/526], Loss: 0.6640
Epoch [50/100], Step[143/526], Loss: 0.6887
Epoch [50/100], Step[144/526], Loss: 0.7780
Epoch [50/100], Step[145/526], Loss: 0.5545
Epoch [50/100], Step[146/526], Loss: 0.5083
Epoch [50/100], Step[147/526], Loss: 0.4604
Epoch [50/100], Step[148/526], Loss: 0.5971
Epoch [50/100], Step[149/526], Loss: 0.4971
Epoch [50/100], Step[150/526], Loss: 0.5660
Epoch [50/100], Step[151/526], Loss: 0.5541
Epoch [50/100], Step[152/526], Loss: 0.6222
Epoch [50/100], Step[153/526], Loss: 0.6331
Epoch [50/100], Step[154/526], Loss: 0.7168
Epoch [50/100], Step[155/526], Loss: 0.7279
Epoch [50/100], Step[156/526], Loss: 0.5376
Epoch [50/100], Step[157/526], Loss: 0.2679
Epoch [50/100], Step[158/526], Loss: 0.6039
Epoch [50/100], Step[159/526], Loss: 0.6676
Epoch [50/100], Step[160/526], Loss: 0.5593
Epoch [50/100], Step[161/526], Loss: 0.9288
Epoch [50/100], Step[162/526], Loss: 0.7026
Epoch [50/100], Step[163/526], Loss: 0.7115
Epoch [50/100], Step[164/526], Loss: 0.6188
Epoch [50/100], Step[165/526], Loss: 0.7130
Epoch [50/100], Step[166/526], Loss: 0.5089
Epoch [50/100], Step[167/526], Loss: 0.5477
Epoch [50/100], Step[168/526], Loss: 0.6821
Epoch [50/100], Step[169/526], Loss: 0.7442
Epoch [50/100], Step[170/526], Loss: 0.7041
Epoch [50/100], Step[171/526], Loss: 0.7315
Epoch [50/100], Step[172/526], Loss: 0.7062
Epoch [50/100], Step[173/526], Loss: 0.8141
Epoch [50/100], Step[174/526], Loss: 0.6151
Epoch [50/100], Step[175/526], Loss: 0.6637
Epoch [50/100], Step[176/526], Loss: 0.6207
Epoch [50/100], Step[177/526], Loss: 0.6631
Epoch [50/100], Step[178/526], Loss: 0.6865
Epoch [50/100], Step[179/526], Loss: 0.6301
Epoch [50/100], Step[180/526], Loss: 0.6738
Epoch [50/100], Step[181/526], Loss: 0.6425
Epoch [50/100], Step[182/526], Loss: 0.6781
Epoch [50/100], Step[183/526], Loss: 0.5336
Epoch [50/100], Step[184/526], Loss: 0.5951
Epoch [50/100], Step[185/526], Loss: 0.5947
Epoch [50/100], Step[186/526], Loss: 0.6602
Epoch [50/100], Step[187/526], Loss: 0.7394
Epoch [50/100], Step[188/526], Loss: 0.6969
Epoch [50/100], Step[189/526], Loss: 0.6741
Epoch [50/100], Step[190/526], Loss: 0.6422
Epoch [50/100], Step[191/526], Loss: 0.7028
Epoch [50/100], Step[192/526], Loss: 0.8034
Epoch [50/100], Step[193/526], Loss: 0.6531
Epoch [50/100], Step[194/526], Loss: 0.6132
Epoch [50/100], Step[195/526], Loss: 0.6470
Epoch [50/100], Step[196/526], Loss: 0.7320
Epoch [50/100], Step[197/526], Loss: 0.6862
Epoch [50/100], Step[198/526], Loss: 0.6365
Epoch [50/100], Step[199/526], Loss: 0.7343
Epoch [50/100], Step[200/526], Loss: 0.6789
Epoch [50/100], Step[201/526], Loss: 0.6738
Epoch [50/100], Step[202/526], Loss: 0.7413
Epoch [50/100], Step[203/526], Loss: 0.7052
Epoch [50/100], Step[204/526], Loss: 0.7193
Epoch [50/100], Step[205/526], Loss: 0.6982
Epoch [50/100], Step[206/526], Loss: 0.6833
Epoch [50/100], Step[207/526], Loss: 0.7109
Epoch [50/100], Step[208/526], Loss: 0.6820
Epoch [50/100], Step[209/526], Loss: 0.6812
Epoch [50/100], Step[210/526], Loss: 0.7600
Epoch [50/100], Step[211/526], Loss: 0.6286
Epoch [50/100], Step[212/526], Loss: 0.6866
Epoch [50/100], Step[213/526], Loss: 0.7234
Epoch [50/100], Step[214/526], Loss: 0.7444
Epoch [50/100], Step[215/526], Loss: 0.6937
Epoch [50/100], Step[216/526], Loss: 0.6773
Epoch [50/100], Step[217/526], Loss: 0.6741
Epoch [50/100], Step[218/526], Loss: 0.6978
Epoch [50/100], Step[219/526], Loss: 0.6905
Epoch [50/100], Step[220/526], Loss: 0.7250
Epoch [50/100], Step[221/526], Loss: 0.6944
Epoch [50/100], Step[222/526], Loss: 0.7394
Epoch [50/100], Step[223/526], Loss: 0.6793
Epoch [50/100], Step[224/526], Loss: 0.6827
Epoch [50/100], Step[225/526], Loss: 0.7207
Epoch [50/100], Step[226/526], Loss: 0.6746
Epoch [50/100], Step[227/526], Loss: 0.6681
Epoch [50/100], Step[228/526], Loss: 0.6624
Epoch [50/100], Step[229/526], Loss: 0.6870
Epoch [50/100], Step[230/526], Loss: 0.6631
Epoch [50/100], Step[231/526], Loss: 0.6669
Epoch [50/100], Step[232/526], Loss: 0.7080
Epoch [50/100], Step[233/526], Loss: 0.6841
Epoch [50/100], Step[234/526], Loss: 0.6759
Epoch [50/100], Step[235/526], Loss: 0.7038
Epoch [50/100], Step[236/526], Loss: 0.6950
Epoch [50/100], Step[237/526], Loss: 0.7159
Epoch [50/100], Step[238/526], Loss: 0.6805
Epoch [50/100], Step[239/526], Loss: 0.6674
Epoch [50/100], Step[240/526], Loss: 0.7266
Epoch [50/100], Step[241/526], Loss: 0.6951
Epoch [50/100], Step[242/526], Loss: 0.7095
Epoch [50/100], Step[243/526], Loss: 0.6134
Epoch [50/100], Step[244/526], Loss: 0.6528
Epoch [50/100], Step[245/526], Loss: 0.6431
Epoch [50/100], Step[246/526], Loss: 0.6644
Epoch [50/100], Step[247/526], Loss: 0.6226
Epoch [50/100], Step[248/526], Loss: 0.6571
Epoch [50/100], Step[249/526], Loss: 0.6674
Epoch [50/100], Step[250/526], Loss: 0.6820
Epoch [50/100], Step[251/526], Loss: 0.7039
Epoch [50/100], Step[252/526], Loss: 0.6937
Epoch [50/100], Step[253/526], Loss: 0.6331
Epoch [50/100], Step[254/526], Loss: 0.6635
Epoch [50/100], Step[255/526], Loss: 0.6044
Epoch [50/100], Step[256/526], Loss: 0.6877
Epoch [50/100], Step[257/526], Loss: 0.6697
Epoch [50/100], Step[258/526], Loss: 0.6259
Epoch [50/100], Step[259/526], Loss: 0.6838
Epoch [50/100], Step[260/526], Loss: 0.7456
Epoch [50/100], Step[261/526], Loss: 0.7493
Epoch [50/100], Step[262/526], Loss: 0.6781
Epoch [50/100], Step[263/526], Loss: 0.6647
Epoch [50/100], Step[264/526], Loss: 0.6532
Epoch [50/100], Step[265/526], Loss: 0.6289
Epoch [50/100], Step[266/526], Loss: 0.6338
Epoch [50/100], Step[267/526], Loss: 0.5029
Epoch [50/100], Step[268/526], Loss: 0.5396
Epoch [50/100], Step[269/526], Loss: 0.4494
Epoch [50/100], Step[270/526], Loss: 0.3777
Epoch [50/100], Step[271/526], Loss: 0.5073
Epoch [50/100], Step[272/526], Loss: 0.5311
Epoch [50/100], Step[273/526], Loss: 0.6322
Epoch [50/100], Step[274/526], Loss: 0.4257
Epoch [50/100], Step[275/526], Loss: 0.4159
Epoch [50/100], Step[276/526], Loss: 0.4636
Epoch [50/100], Step[277/526], Loss: 0.4186
Epoch [50/100], Step[278/526], Loss: 0.4490
Epoch [50/100], Step[279/526], Loss: 0.4004
Epoch [50/100], Step[280/526], Loss: 0.4426
Epoch [50/100], Step[281/526], Loss: 0.6290
Epoch [50/100], Step[282/526], Loss: 0.3553
Epoch [50/100], Step[283/526], Loss: 0.3648
Epoch [50/100], Step[284/526], Loss: 0.3965
Epoch [50/100], Step[285/526], Loss: 0.2706
Epoch [50/100], Step[286/526], Loss: 0.7030
Epoch [50/100], Step[287/526], Loss: 0.4787
Epoch [50/100], Step[288/526], Loss: 0.4334
Epoch [50/100], Step[289/526], Loss: 0.6205
Epoch [50/100], Step[290/526], Loss: 0.4206
Epoch [50/100], Step[291/526], Loss: 0.4841
Epoch [50/100], Step[292/526], Loss: 0.2534
Epoch [50/100], Step[293/526], Loss: 0.3052
Epoch [50/100], Step[294/526], Loss: 0.3165
Epoch [50/100], Step[295/526], Loss: 0.4214
Epoch [50/100], Step[296/526], Loss: 0.6232
Epoch [50/100], Step[297/526], Loss: 0.2947
Epoch [50/100], Step[298/526], Loss: 0.2842
Epoch [50/100], Step[299/526], Loss: 0.2356
Epoch [50/100], Step[300/526], Loss: 0.2856
Epoch [50/100], Step[301/526], Loss: 0.6193
Epoch [50/100], Step[302/526], Loss: 0.3219
Epoch [50/100], Step[303/526], Loss: 0.4736
Epoch [50/100], Step[304/526], Loss: 0.2593
Epoch [50/100], Step[305/526], Loss: 0.2591
Epoch [50/100], Step[306/526], Loss: 0.5821
Epoch [50/100], Step[307/526], Loss: 0.8951
Epoch [50/100], Step[308/526], Loss: 1.3177
Epoch [50/100], Step[309/526], Loss: 0.8018
Epoch [50/100], Step[310/526], Loss: 0.9561
Epoch [50/100], Step[311/526], Loss: 0.8269
Epoch [50/100], Step[312/526], Loss: 0.4902
Epoch [50/100], Step[313/526], Loss: 0.4867
Epoch [50/100], Step[314/526], Loss: 0.6556
Epoch [50/100], Step[315/526], Loss: 0.7019
Epoch [50/100], Step[316/526], Loss: 0.4923
Epoch [50/100], Step[317/526], Loss: 0.3256
Epoch [50/100], Step[318/526], Loss: 0.7729
Epoch [50/100], Step[319/526], Loss: 0.3568
Epoch [50/100], Step[320/526], Loss: 0.6142
Epoch [50/100], Step[321/526], Loss: 0.7007
Epoch [50/100], Step[322/526], Loss: 0.2707
Epoch [50/100], Step[323/526], Loss: 0.6165
Epoch [50/100], Step[324/526], Loss: 0.6540
Epoch [50/100], Step[325/526], Loss: 0.5891
Epoch [50/100], Step[326/526], Loss: 0.7520
Epoch [50/100], Step[327/526], Loss: 0.7283
Epoch [50/100], Step[328/526], Loss: 0.9321
Epoch [50/100], Step[329/526], Loss: 1.2709
Epoch [50/100], Step[330/526], Loss: 1.0427
Epoch [50/100], Step[331/526], Loss: 0.7828
Epoch [50/100], Step[332/526], Loss: 0.8280
Epoch [50/100], Step[333/526], Loss: 0.7732
Epoch [50/100], Step[334/526], Loss: 0.7701
Epoch [50/100], Step[335/526], Loss: 0.7820
Epoch [50/100], Step[336/526], Loss: 0.6950
Epoch [50/100], Step[337/526], Loss: 0.5941
Epoch [50/100], Step[338/526], Loss: 0.7061
Epoch [50/100], Step[339/526], Loss: 0.6402
Epoch [50/100], Step[340/526], Loss: 0.7204
Epoch [50/100], Step[341/526], Loss: 0.7656
Epoch [50/100], Step[342/526], Loss: 0.7803
Epoch [50/100], Step[343/526], Loss: 0.5389
Epoch [50/100], Step[344/526], Loss: 0.7283
Epoch [50/100], Step[345/526], Loss: 0.6522
Epoch [50/100], Step[346/526], Loss: 0.6706
Epoch [50/100], Step[347/526], Loss: 0.7108
Epoch [50/100], Step[348/526], Loss: 0.6308
Epoch [50/100], Step[349/526], Loss: 0.5803
Epoch [50/100], Step[350/526], Loss: 0.6708
Epoch [50/100], Step[351/526], Loss: 0.7156
Epoch [50/100], Step[352/526], Loss: 0.6087
Epoch [50/100], Step[353/526], Loss: 0.6854
Epoch [50/100], Step[354/526], Loss: 0.6712
Epoch [50/100], Step[355/526], Loss: 0.6725
Epoch [50/100], Step[356/526], Loss: 0.7031
Epoch [50/100], Step[357/526], Loss: 0.6600
Epoch [50/100], Step[358/526], Loss: 0.6970
Epoch [50/100], Step[359/526], Loss: 0.6602
Epoch [50/100], Step[360/526], Loss: 0.6796
Epoch [50/100], Step[361/526], Loss: 0.7213
Epoch [50/100], Step[362/526], Loss: 0.7056
Epoch [50/100], Step[363/526], Loss: 0.6928
Epoch [50/100], Step[364/526], Loss: 0.7127
Epoch [50/100], Step[365/526], Loss: 0.7148
Epoch [50/100], Step[366/526], Loss: 0.6877
Epoch [50/100], Step[367/526], Loss: 0.6918
Epoch [50/100], Step[368/526], Loss: 0.6500
Epoch [50/100], Step[369/526], Loss: 0.6592
Epoch [50/100], Step[370/526], Loss: 0.7582
Epoch [50/100], Step[371/526], Loss: 0.7348
Epoch [50/100], Step[372/526], Loss: 0.6394
Epoch [50/100], Step[373/526], Loss: 0.6755
Epoch [50/100], Step[374/526], Loss: 0.7078
Epoch [50/100], Step[375/526], Loss: 0.6494
Epoch [50/100], Step[376/526], Loss: 0.6744
Epoch [50/100], Step[377/526], Loss: 0.6892
Epoch [50/100], Step[378/526], Loss: 0.6912
Epoch [50/100], Step[379/526], Loss: 0.7505
Epoch [50/100], Step[380/526], Loss: 0.6171
Epoch [50/100], Step[381/526], Loss: 0.5949
Epoch [50/100], Step[382/526], Loss: 0.6717
Epoch [50/100], Step[383/526], Loss: 0.6973
Epoch [50/100], Step[384/526], Loss: 0.6327
Epoch [50/100], Step[385/526], Loss: 0.6296
Epoch [50/100], Step[386/526], Loss: 0.6671
Epoch [50/100], Step[387/526], Loss: 0.6607
Epoch [50/100], Step[388/526], Loss: 0.6033
Epoch [50/100], Step[389/526], Loss: 0.7178
Epoch [50/100], Step[390/526], Loss: 0.5837
Epoch [50/100], Step[391/526], Loss: 0.6534
Epoch [50/100], Step[392/526], Loss: 0.6981
Epoch [50/100], Step[393/526], Loss: 0.5850
Epoch [50/100], Step[394/526], Loss: 0.5121
Epoch [50/100], Step[395/526], Loss: 0.6050
Epoch [50/100], Step[396/526], Loss: 0.6305
Epoch [50/100], Step[397/526], Loss: 0.4673
Epoch [50/100], Step[398/526], Loss: 0.6004
Epoch [50/100], Step[399/526], Loss: 0.6530
Epoch [50/100], Step[400/526], Loss: 0.4701
Epoch [50/100], Step[401/526], Loss: 0.5958
Epoch [50/100], Step[402/526], Loss: 0.6381
Epoch [50/100], Step[403/526], Loss: 0.7271
Epoch [50/100], Step[404/526], Loss: 0.4786
Epoch [50/100], Step[405/526], Loss: 0.5020
Epoch [50/100], Step[406/526], Loss: 0.6291
Epoch [50/100], Step[407/526], Loss: 0.7566
Epoch [50/100], Step[408/526], Loss: 0.6531
Epoch [50/100], Step[409/526], Loss: 0.4768
Epoch [50/100], Step[410/526], Loss: 0.4920
Epoch [50/100], Step[411/526], Loss: 0.5347
Epoch [50/100], Step[412/526], Loss: 0.5936
Epoch [50/100], Step[413/526], Loss: 0.5933
Epoch [50/100], Step[414/526], Loss: 0.6421
Epoch [50/100], Step[415/526], Loss: 0.6092
Epoch [50/100], Step[416/526], Loss: 0.5468
Epoch [50/100], Step[417/526], Loss: 0.4537
Epoch [50/100], Step[418/526], Loss: 0.7426
Epoch [50/100], Step[419/526], Loss: 0.6849
Epoch [50/100], Step[420/526], Loss: 0.6843
Epoch [50/100], Step[421/526], Loss: 0.6412
Epoch [50/100], Step[422/526], Loss: 0.7705
Epoch [50/100], Step[423/526], Loss: 0.7000
Epoch [50/100], Step[424/526], Loss: 0.7398
Epoch [50/100], Step[425/526], Loss: 0.6997
Epoch [50/100], Step[426/526], Loss: 0.7578
Epoch [50/100], Step[427/526], Loss: 0.7078
Epoch [50/100], Step[428/526], Loss: 0.7133
Epoch [50/100], Step[429/526], Loss: 0.7233
Epoch [50/100], Step[430/526], Loss: 0.7895
Epoch [50/100], Step[431/526], Loss: 0.7041
Epoch [50/100], Step[432/526], Loss: 0.7289
Epoch [50/100], Step[433/526], Loss: 0.6735
Epoch [50/100], Step[434/526], Loss: 0.6115
Epoch [50/100], Step[435/526], Loss: 0.7794
Epoch [50/100], Step[436/526], Loss: 0.8063
Epoch [50/100], Step[437/526], Loss: 0.4934
Epoch [50/100], Step[438/526], Loss: 0.3623
Epoch [50/100], Step[439/526], Loss: 0.7225
Epoch [50/100], Step[440/526], Loss: 0.6863
Epoch [50/100], Step[441/526], Loss: 0.6957
Epoch [50/100], Step[442/526], Loss: 0.6420
Epoch [50/100], Step[443/526], Loss: 0.6712
Epoch [50/100], Step[444/526], Loss: 0.7519
Epoch [50/100], Step[445/526], Loss: 0.7044
Epoch [50/100], Step[446/526], Loss: 0.7134
Epoch [50/100], Step[447/526], Loss: 0.7165
Epoch [50/100], Step[448/526], Loss: 0.7192
Epoch [50/100], Step[449/526], Loss: 0.6717
Epoch [50/100], Step[450/526], Loss: 0.6079
Epoch [50/100], Step[451/526], Loss: 0.6644
Epoch [50/100], Step[452/526], Loss: 0.7241
Epoch [50/100], Step[453/526], Loss: 0.7053
Epoch [50/100], Step[454/526], Loss: 0.8292
Epoch [50/100], Step[455/526], Loss: 0.6647
Epoch [50/100], Step[456/526], Loss: 0.6371
Epoch [50/100], Step[457/526], Loss: 0.6987
Epoch [50/100], Step[458/526], Loss: 0.6674
Epoch [50/100], Step[459/526], Loss: 0.6662
Epoch [50/100], Step[460/526], Loss: 0.6444
Epoch [50/100], Step[461/526], Loss: 0.6123
Epoch [50/100], Step[462/526], Loss: 0.6766
Epoch [50/100], Step[463/526], Loss: 0.6483
Epoch [50/100], Step[464/526], Loss: 0.6370
Epoch [50/100], Step[465/526], Loss: 0.6607
Epoch [50/100], Step[466/526], Loss: 0.6630
Epoch [50/100], Step[467/526], Loss: 0.6561
Epoch [50/100], Step[468/526], Loss: 0.6147
Epoch [50/100], Step[469/526], Loss: 0.8064
Epoch [50/100], Step[470/526], Loss: 0.6568
Epoch [50/100], Step[471/526], Loss: 0.6967
Epoch [50/100], Step[472/526], Loss: 0.6712
Epoch [50/100], Step[473/526], Loss: 0.6807
Epoch [50/100], Step[474/526], Loss: 0.6788
Epoch [50/100], Step[475/526], Loss: 0.8419
Epoch [50/100], Step[476/526], Loss: 0.7449
Epoch [50/100], Step[477/526], Loss: 0.6960
Epoch [50/100], Step[478/526], Loss: 0.6766
Epoch [50/100], Step[479/526], Loss: 0.6600
Epoch [50/100], Step[480/526], Loss: 0.7346
Epoch [50/100], Step[481/526], Loss: 0.7317
Epoch [50/100], Step[482/526], Loss: 0.6175
Epoch [50/100], Step[483/526], Loss: 0.5401
Epoch [50/100], Step[484/526], Loss: 0.6901
Epoch [50/100], Step[485/526], Loss: 0.7523
Epoch [50/100], Step[486/526], Loss: 0.7276
Epoch [50/100], Step[487/526], Loss: 0.7368
Epoch [50/100], Step[488/526], Loss: 0.7039
Epoch [50/100], Step[489/526], Loss: 0.6334
Epoch [50/100], Step[490/526], Loss: 0.6127
Epoch [50/100], Step[491/526], Loss: 0.7034
Epoch [50/100], Step[492/526], Loss: 0.6367
Epoch [50/100], Step[493/526], Loss: 0.6418
Epoch [50/100], Step[494/526], Loss: 0.6650
Epoch [50/100], Step[495/526], Loss: 0.6884
Epoch [50/100], Step[496/526], Loss: 0.6644
Epoch [50/100], Step[497/526], Loss: 0.6371
Epoch [50/100], Step[498/526], Loss: 0.6741
Epoch [50/100], Step[499/526], Loss: 0.6704
Epoch [50/100], Step[500/526], Loss: 0.6824
Epoch [50/100], Step[501/526], Loss: 0.6574
Epoch [50/100], Step[502/526], Loss: 0.6991
Epoch [50/100], Step[503/526], Loss: 0.7138
Epoch [50/100], Step[504/526], Loss: 0.7023
Epoch [50/100], Step[505/526], Loss: 0.7109
Epoch [50/100], Step[506/526], Loss: 0.6789
Epoch [50/100], Step[507/526], Loss: 0.6724
Epoch [50/100], Step[508/526], Loss: 0.6994
Epoch [50/100], Step[509/526], Loss: 0.6518
Epoch [50/100], Step[510/526], Loss: 0.7042
Epoch [50/100], Step[511/526], Loss: 0.6436
Epoch [50/100], Step[512/526], Loss: 0.6714
Epoch [50/100], Step[513/526], Loss: 0.6418
Epoch [50/100], Step[514/526], Loss: 0.6550
Epoch [50/100], Step[515/526], Loss: 0.5698
Epoch [50/100], Step[516/526], Loss: 0.7545
Epoch [50/100], Step[517/526], Loss: 0.6866
Epoch [50/100], Step[518/526], Loss: 0.7330
Epoch [50/100], Step[519/526], Loss: 0.7141
Epoch [50/100], Step[520/526], Loss: 0.7117
Epoch [50/100], Step[521/526], Loss: 0.6691
Epoch [50/100], Step[522/526], Loss: 0.6040
Epoch [50/100], Step[523/526], Loss: 0.6639
Epoch [50/100], Step[524/526], Loss: 0.6444
Epoch [50/100], Step[525/526], Loss: 0.7449
Epoch [50/100], Step[526/526], Loss: 0.7133
Epoch [51/100], Step[1/526], Loss: 0.6592
Epoch [51/100], Step[2/526], Loss: 0.6415
Epoch [51/100], Step[3/526], Loss: 0.6823
Epoch [51/100], Step[4/526], Loss: 0.6269
Epoch [51/100], Step[5/526], Loss: 0.7393
Epoch [51/100], Step[6/526], Loss: 0.7894
Epoch [51/100], Step[7/526], Loss: 0.7087
Epoch [51/100], Step[8/526], Loss: 0.6900
Epoch [51/100], Step[9/526], Loss: 0.7051
Epoch [51/100], Step[10/526], Loss: 0.6669
Epoch [51/100], Step[11/526], Loss: 0.6880
Epoch [51/100], Step[12/526], Loss: 0.7307
Epoch [51/100], Step[13/526], Loss: 0.6234
Epoch [51/100], Step[14/526], Loss: 0.6615
Epoch [51/100], Step[15/526], Loss: 0.6893
Epoch [51/100], Step[16/526], Loss: 0.7003
Epoch [51/100], Step[17/526], Loss: 0.7052
Epoch [51/100], Step[18/526], Loss: 0.6582
Epoch [51/100], Step[19/526], Loss: 0.6757
Epoch [51/100], Step[20/526], Loss: 0.7182
Epoch [51/100], Step[21/526], Loss: 0.7536
Epoch [51/100], Step[22/526], Loss: 0.7393
Epoch [51/100], Step[23/526], Loss: 0.7340
Epoch [51/100], Step[24/526], Loss: 0.7155
Epoch [51/100], Step[25/526], Loss: 0.6964
Epoch [51/100], Step[26/526], Loss: 0.6230
Epoch [51/100], Step[27/526], Loss: 0.6770
Epoch [51/100], Step[28/526], Loss: 0.6908
Epoch [51/100], Step[29/526], Loss: 0.6501
Epoch [51/100], Step[30/526], Loss: 0.6919
Epoch [51/100], Step[31/526], Loss: 0.7069
Epoch [51/100], Step[32/526], Loss: 0.6688
Epoch [51/100], Step[33/526], Loss: 0.7101
Epoch [51/100], Step[34/526], Loss: 0.6980
Epoch [51/100], Step[35/526], Loss: 0.7115
Epoch [51/100], Step[36/526], Loss: 0.7035
Epoch [51/100], Step[37/526], Loss: 0.6900
Epoch [51/100], Step[38/526], Loss: 0.7115
Epoch [51/100], Step[39/526], Loss: 0.6902
Epoch [51/100], Step[40/526], Loss: 0.7075
Epoch [51/100], Step[41/526], Loss: 0.6625
Epoch [51/100], Step[42/526], Loss: 0.7277
Epoch [51/100], Step[43/526], Loss: 0.7181
Epoch [51/100], Step[44/526], Loss: 0.6872
Epoch [51/100], Step[45/526], Loss: 0.6925
Epoch [51/100], Step[46/526], Loss: 0.6873
Epoch [51/100], Step[47/526], Loss: 0.7046
Epoch [51/100], Step[48/526], Loss: 0.7252
Epoch [51/100], Step[49/526], Loss: 0.7063
Epoch [51/100], Step[50/526], Loss: 0.6987
Epoch [51/100], Step[51/526], Loss: 0.6941
Epoch [51/100], Step[52/526], Loss: 0.6759
Epoch [51/100], Step[53/526], Loss: 0.7100
Epoch [51/100], Step[54/526], Loss: 0.7112
Epoch [51/100], Step[55/526], Loss: 0.7188
Epoch [51/100], Step[56/526], Loss: 0.6933
Epoch [51/100], Step[57/526], Loss: 0.6840
Epoch [51/100], Step[58/526], Loss: 0.6797
Epoch [51/100], Step[59/526], Loss: 0.6526
Epoch [51/100], Step[60/526], Loss: 0.6689
Epoch [51/100], Step[61/526], Loss: 0.6629
Epoch [51/100], Step[62/526], Loss: 0.6986
Epoch [51/100], Step[63/526], Loss: 0.6888
Epoch [51/100], Step[64/526], Loss: 0.6745
Epoch [51/100], Step[65/526], Loss: 0.7288
Epoch [51/100], Step[66/526], Loss: 0.6837
Epoch [51/100], Step[67/526], Loss: 0.6482
Epoch [51/100], Step[68/526], Loss: 0.6559
Epoch [51/100], Step[69/526], Loss: 0.6933
Epoch [51/100], Step[70/526], Loss: 0.6825
Epoch [51/100], Step[71/526], Loss: 0.6698
Epoch [51/100], Step[72/526], Loss: 0.6841
Epoch [51/100], Step[73/526], Loss: 0.7132
Epoch [51/100], Step[74/526], Loss: 0.6578
Epoch [51/100], Step[75/526], Loss: 0.7031
Epoch [51/100], Step[76/526], Loss: 0.6885
Epoch [51/100], Step[77/526], Loss: 0.6963
Epoch [51/100], Step[78/526], Loss: 0.7081
Epoch [51/100], Step[79/526], Loss: 0.6913
Epoch [51/100], Step[80/526], Loss: 0.6888
Epoch [51/100], Step[81/526], Loss: 0.6919
Epoch [51/100], Step[82/526], Loss: 0.7083
Epoch [51/100], Step[83/526], Loss: 0.7580
Epoch [51/100], Step[84/526], Loss: 0.7000
Epoch [51/100], Step[85/526], Loss: 0.6185
Epoch [51/100], Step[86/526], Loss: 0.7988
Epoch [51/100], Step[87/526], Loss: 0.6912
Epoch [51/100], Step[88/526], Loss: 0.6992
Epoch [51/100], Step[89/526], Loss: 0.7149
Epoch [51/100], Step[90/526], Loss: 0.6818
Epoch [51/100], Step[91/526], Loss: 0.6910
Epoch [51/100], Step[92/526], Loss: 0.6821
Epoch [51/100], Step[93/526], Loss: 0.6960
Epoch [51/100], Step[94/526], Loss: 0.8065
Epoch [51/100], Step[95/526], Loss: 0.7169
Epoch [51/100], Step[96/526], Loss: 0.6240
Epoch [51/100], Step[97/526], Loss: 0.5954
Epoch [51/100], Step[98/526], Loss: 0.6790
Epoch [51/100], Step[99/526], Loss: 0.6888
Epoch [51/100], Step[100/526], Loss: 0.6555
Epoch [51/100], Step[101/526], Loss: 0.6653
Epoch [51/100], Step[102/526], Loss: 0.6460
Epoch [51/100], Step[103/526], Loss: 0.7208
Epoch [51/100], Step[104/526], Loss: 0.6654
Epoch [51/100], Step[105/526], Loss: 0.6402
Epoch [51/100], Step[106/526], Loss: 0.6860
Epoch [51/100], Step[107/526], Loss: 0.6330
Epoch [51/100], Step[108/526], Loss: 0.5768
Epoch [51/100], Step[109/526], Loss: 0.6634
Epoch [51/100], Step[110/526], Loss: 0.6755
Epoch [51/100], Step[111/526], Loss: 0.6025
Epoch [51/100], Step[112/526], Loss: 0.7307
Epoch [51/100], Step[113/526], Loss: 0.6109
Epoch [51/100], Step[114/526], Loss: 0.6620
Epoch [51/100], Step[115/526], Loss: 0.5982
Epoch [51/100], Step[116/526], Loss: 0.6288
Epoch [51/100], Step[117/526], Loss: 0.6645
Epoch [51/100], Step[118/526], Loss: 0.7558
Epoch [51/100], Step[119/526], Loss: 0.6782
Epoch [51/100], Step[120/526], Loss: 0.6794
Epoch [51/100], Step[121/526], Loss: 0.6918
Epoch [51/100], Step[122/526], Loss: 0.6261
Epoch [51/100], Step[123/526], Loss: 0.6455
Epoch [51/100], Step[124/526], Loss: 0.6712
Epoch [51/100], Step[125/526], Loss: 0.6357
Epoch [51/100], Step[126/526], Loss: 0.7228
Epoch [51/100], Step[127/526], Loss: 0.6748
Epoch [51/100], Step[128/526], Loss: 0.6454
Epoch [51/100], Step[129/526], Loss: 0.6010
Epoch [51/100], Step[130/526], Loss: 0.6232
Epoch [51/100], Step[131/526], Loss: 0.6667
Epoch [51/100], Step[132/526], Loss: 0.7152
Epoch [51/100], Step[133/526], Loss: 0.6706
Epoch [51/100], Step[134/526], Loss: 0.6300
Epoch [51/100], Step[135/526], Loss: 0.6424
Epoch [51/100], Step[136/526], Loss: 0.5665
Epoch [51/100], Step[137/526], Loss: 0.6405
Epoch [51/100], Step[138/526], Loss: 0.6468
Epoch [51/100], Step[139/526], Loss: 0.6957
Epoch [51/100], Step[140/526], Loss: 0.5973
Epoch [51/100], Step[141/526], Loss: 0.6794
Epoch [51/100], Step[142/526], Loss: 0.6649
Epoch [51/100], Step[143/526], Loss: 0.6882
Epoch [51/100], Step[144/526], Loss: 0.7769
Epoch [51/100], Step[145/526], Loss: 0.5488
Epoch [51/100], Step[146/526], Loss: 0.5140
Epoch [51/100], Step[147/526], Loss: 0.4625
Epoch [51/100], Step[148/526], Loss: 0.6012
Epoch [51/100], Step[149/526], Loss: 0.5010
Epoch [51/100], Step[150/526], Loss: 0.5620
Epoch [51/100], Step[151/526], Loss: 0.5563
Epoch [51/100], Step[152/526], Loss: 0.6224
Epoch [51/100], Step[153/526], Loss: 0.6358
Epoch [51/100], Step[154/526], Loss: 0.7131
Epoch [51/100], Step[155/526], Loss: 0.7209
Epoch [51/100], Step[156/526], Loss: 0.5418
Epoch [51/100], Step[157/526], Loss: 0.2731
Epoch [51/100], Step[158/526], Loss: 0.6024
Epoch [51/100], Step[159/526], Loss: 0.6685
Epoch [51/100], Step[160/526], Loss: 0.5558
Epoch [51/100], Step[161/526], Loss: 0.8909
Epoch [51/100], Step[162/526], Loss: 0.7047
Epoch [51/100], Step[163/526], Loss: 0.7108
Epoch [51/100], Step[164/526], Loss: 0.6189
Epoch [51/100], Step[165/526], Loss: 0.7092
Epoch [51/100], Step[166/526], Loss: 0.5121
Epoch [51/100], Step[167/526], Loss: 0.5543
Epoch [51/100], Step[168/526], Loss: 0.6799
Epoch [51/100], Step[169/526], Loss: 0.7423
Epoch [51/100], Step[170/526], Loss: 0.7042
Epoch [51/100], Step[171/526], Loss: 0.7342
Epoch [51/100], Step[172/526], Loss: 0.7028
Epoch [51/100], Step[173/526], Loss: 0.8137
Epoch [51/100], Step[174/526], Loss: 0.6156
Epoch [51/100], Step[175/526], Loss: 0.6674
Epoch [51/100], Step[176/526], Loss: 0.6190
Epoch [51/100], Step[177/526], Loss: 0.6622
Epoch [51/100], Step[178/526], Loss: 0.6852
Epoch [51/100], Step[179/526], Loss: 0.6304
Epoch [51/100], Step[180/526], Loss: 0.6724
Epoch [51/100], Step[181/526], Loss: 0.6436
Epoch [51/100], Step[182/526], Loss: 0.6779
Epoch [51/100], Step[183/526], Loss: 0.5366
Epoch [51/100], Step[184/526], Loss: 0.5969
Epoch [51/100], Step[185/526], Loss: 0.5976
Epoch [51/100], Step[186/526], Loss: 0.6602
Epoch [51/100], Step[187/526], Loss: 0.7388
Epoch [51/100], Step[188/526], Loss: 0.6953
Epoch [51/100], Step[189/526], Loss: 0.6733
Epoch [51/100], Step[190/526], Loss: 0.6474
Epoch [51/100], Step[191/526], Loss: 0.6988
Epoch [51/100], Step[192/526], Loss: 0.8122
Epoch [51/100], Step[193/526], Loss: 0.6516
Epoch [51/100], Step[194/526], Loss: 0.6126
Epoch [51/100], Step[195/526], Loss: 0.6452
Epoch [51/100], Step[196/526], Loss: 0.7255
Epoch [51/100], Step[197/526], Loss: 0.6825
Epoch [51/100], Step[198/526], Loss: 0.6366
Epoch [51/100], Step[199/526], Loss: 0.7344
Epoch [51/100], Step[200/526], Loss: 0.6786
Epoch [51/100], Step[201/526], Loss: 0.6731
Epoch [51/100], Step[202/526], Loss: 0.7370
Epoch [51/100], Step[203/526], Loss: 0.7048
Epoch [51/100], Step[204/526], Loss: 0.7179
Epoch [51/100], Step[205/526], Loss: 0.6970
Epoch [51/100], Step[206/526], Loss: 0.6833
Epoch [51/100], Step[207/526], Loss: 0.7080
Epoch [51/100], Step[208/526], Loss: 0.6825
Epoch [51/100], Step[209/526], Loss: 0.6809
Epoch [51/100], Step[210/526], Loss: 0.7591
Epoch [51/100], Step[211/526], Loss: 0.6320
Epoch [51/100], Step[212/526], Loss: 0.6871
Epoch [51/100], Step[213/526], Loss: 0.7218
Epoch [51/100], Step[214/526], Loss: 0.7424
Epoch [51/100], Step[215/526], Loss: 0.6921
Epoch [51/100], Step[216/526], Loss: 0.6778
Epoch [51/100], Step[217/526], Loss: 0.6726
Epoch [51/100], Step[218/526], Loss: 0.6980
Epoch [51/100], Step[219/526], Loss: 0.6897
Epoch [51/100], Step[220/526], Loss: 0.7226
Epoch [51/100], Step[221/526], Loss: 0.6934
Epoch [51/100], Step[222/526], Loss: 0.7348
Epoch [51/100], Step[223/526], Loss: 0.6802
Epoch [51/100], Step[224/526], Loss: 0.6828
Epoch [51/100], Step[225/526], Loss: 0.7180
Epoch [51/100], Step[226/526], Loss: 0.6736
Epoch [51/100], Step[227/526], Loss: 0.6672
Epoch [51/100], Step[228/526], Loss: 0.6627
Epoch [51/100], Step[229/526], Loss: 0.6878
Epoch [51/100], Step[230/526], Loss: 0.6634
Epoch [51/100], Step[231/526], Loss: 0.6675
Epoch [51/100], Step[232/526], Loss: 0.7091
Epoch [51/100], Step[233/526], Loss: 0.6835
Epoch [51/100], Step[234/526], Loss: 0.6755
Epoch [51/100], Step[235/526], Loss: 0.7035
Epoch [51/100], Step[236/526], Loss: 0.6951
Epoch [51/100], Step[237/526], Loss: 0.7164
Epoch [51/100], Step[238/526], Loss: 0.6812
Epoch [51/100], Step[239/526], Loss: 0.6679
Epoch [51/100], Step[240/526], Loss: 0.7291
Epoch [51/100], Step[241/526], Loss: 0.6957
Epoch [51/100], Step[242/526], Loss: 0.7105
Epoch [51/100], Step[243/526], Loss: 0.6419
Epoch [51/100], Step[244/526], Loss: 0.6527
Epoch [51/100], Step[245/526], Loss: 0.6425
Epoch [51/100], Step[246/526], Loss: 0.6634
Epoch [51/100], Step[247/526], Loss: 0.6218
Epoch [51/100], Step[248/526], Loss: 0.6575
Epoch [51/100], Step[249/526], Loss: 0.6676
Epoch [51/100], Step[250/526], Loss: 0.6824
Epoch [51/100], Step[251/526], Loss: 0.7047
Epoch [51/100], Step[252/526], Loss: 0.6939
Epoch [51/100], Step[253/526], Loss: 0.6328
Epoch [51/100], Step[254/526], Loss: 0.6618
Epoch [51/100], Step[255/526], Loss: 0.6038
Epoch [51/100], Step[256/526], Loss: 0.6878
Epoch [51/100], Step[257/526], Loss: 0.6701
Epoch [51/100], Step[258/526], Loss: 0.6283
Epoch [51/100], Step[259/526], Loss: 0.6838
Epoch [51/100], Step[260/526], Loss: 0.7453
Epoch [51/100], Step[261/526], Loss: 0.7473
Epoch [51/100], Step[262/526], Loss: 0.6766
Epoch [51/100], Step[263/526], Loss: 0.6661
Epoch [51/100], Step[264/526], Loss: 0.6581
Epoch [51/100], Step[265/526], Loss: 0.6333
Epoch [51/100], Step[266/526], Loss: 0.6370
Epoch [51/100], Step[267/526], Loss: 0.5027
Epoch [51/100], Step[268/526], Loss: 0.5420
Epoch [51/100], Step[269/526], Loss: 0.4505
Epoch [51/100], Step[270/526], Loss: 0.3776
Epoch [51/100], Step[271/526], Loss: 0.5071
Epoch [51/100], Step[272/526], Loss: 0.5291
Epoch [51/100], Step[273/526], Loss: 0.6329
Epoch [51/100], Step[274/526], Loss: 0.4248
Epoch [51/100], Step[275/526], Loss: 0.4163
Epoch [51/100], Step[276/526], Loss: 0.4644
Epoch [51/100], Step[277/526], Loss: 0.4180
Epoch [51/100], Step[278/526], Loss: 0.4488
Epoch [51/100], Step[279/526], Loss: 0.4005
Epoch [51/100], Step[280/526], Loss: 0.4413
Epoch [51/100], Step[281/526], Loss: 0.6285
Epoch [51/100], Step[282/526], Loss: 0.3549
Epoch [51/100], Step[283/526], Loss: 0.3661
Epoch [51/100], Step[284/526], Loss: 0.3964
Epoch [51/100], Step[285/526], Loss: 0.2707
Epoch [51/100], Step[286/526], Loss: 0.7047
Epoch [51/100], Step[287/526], Loss: 0.4781
Epoch [51/100], Step[288/526], Loss: 0.4334
Epoch [51/100], Step[289/526], Loss: 0.6203
Epoch [51/100], Step[290/526], Loss: 0.4208
Epoch [51/100], Step[291/526], Loss: 0.4827
Epoch [51/100], Step[292/526], Loss: 0.2529
Epoch [51/100], Step[293/526], Loss: 0.3044
Epoch [51/100], Step[294/526], Loss: 0.3163
Epoch [51/100], Step[295/526], Loss: 0.4216
Epoch [51/100], Step[296/526], Loss: 0.6259
Epoch [51/100], Step[297/526], Loss: 0.2956
Epoch [51/100], Step[298/526], Loss: 0.2826
Epoch [51/100], Step[299/526], Loss: 0.2357
Epoch [51/100], Step[300/526], Loss: 0.2831
Epoch [51/100], Step[301/526], Loss: 0.6204
Epoch [51/100], Step[302/526], Loss: 0.3223
Epoch [51/100], Step[303/526], Loss: 0.4730
Epoch [51/100], Step[304/526], Loss: 0.2595
Epoch [51/100], Step[305/526], Loss: 0.2579
Epoch [51/100], Step[306/526], Loss: 0.5816
Epoch [51/100], Step[307/526], Loss: 0.8946
Epoch [51/100], Step[308/526], Loss: 1.3232
Epoch [51/100], Step[309/526], Loss: 0.8429
Epoch [51/100], Step[310/526], Loss: 0.9563
Epoch [51/100], Step[311/526], Loss: 0.8230
Epoch [51/100], Step[312/526], Loss: 0.4893
Epoch [51/100], Step[313/526], Loss: 0.4876
Epoch [51/100], Step[314/526], Loss: 0.6549
Epoch [51/100], Step[315/526], Loss: 0.7035
Epoch [51/100], Step[316/526], Loss: 0.4921
Epoch [51/100], Step[317/526], Loss: 0.3245
Epoch [51/100], Step[318/526], Loss: 0.7713
Epoch [51/100], Step[319/526], Loss: 0.3587
Epoch [51/100], Step[320/526], Loss: 0.6260
Epoch [51/100], Step[321/526], Loss: 0.7040
Epoch [51/100], Step[322/526], Loss: 0.2721
Epoch [51/100], Step[323/526], Loss: 0.6162
Epoch [51/100], Step[324/526], Loss: 0.6526
Epoch [51/100], Step[325/526], Loss: 0.5914
Epoch [51/100], Step[326/526], Loss: 0.7492
Epoch [51/100], Step[327/526], Loss: 0.7269
Epoch [51/100], Step[328/526], Loss: 0.9296
Epoch [51/100], Step[329/526], Loss: 1.2761
Epoch [51/100], Step[330/526], Loss: 1.0395
Epoch [51/100], Step[331/526], Loss: 0.7804
Epoch [51/100], Step[332/526], Loss: 0.8229
Epoch [51/100], Step[333/526], Loss: 0.7693
Epoch [51/100], Step[334/526], Loss: 0.7651
Epoch [51/100], Step[335/526], Loss: 0.7774
Epoch [51/100], Step[336/526], Loss: 0.6927
Epoch [51/100], Step[337/526], Loss: 0.5932
Epoch [51/100], Step[338/526], Loss: 0.7033
Epoch [51/100], Step[339/526], Loss: 0.6388
Epoch [51/100], Step[340/526], Loss: 0.7195
Epoch [51/100], Step[341/526], Loss: 0.7648
Epoch [51/100], Step[342/526], Loss: 0.7785
Epoch [51/100], Step[343/526], Loss: 0.5391
Epoch [51/100], Step[344/526], Loss: 0.7263
Epoch [51/100], Step[345/526], Loss: 0.6530
Epoch [51/100], Step[346/526], Loss: 0.6712
Epoch [51/100], Step[347/526], Loss: 0.7119
Epoch [51/100], Step[348/526], Loss: 0.6319
Epoch [51/100], Step[349/526], Loss: 0.5821
Epoch [51/100], Step[350/526], Loss: 0.6696
Epoch [51/100], Step[351/526], Loss: 0.7136
Epoch [51/100], Step[352/526], Loss: 0.6090
Epoch [51/100], Step[353/526], Loss: 0.6838
Epoch [51/100], Step[354/526], Loss: 0.6710
Epoch [51/100], Step[355/526], Loss: 0.6722
Epoch [51/100], Step[356/526], Loss: 0.7026
Epoch [51/100], Step[357/526], Loss: 0.6601
Epoch [51/100], Step[358/526], Loss: 0.6975
Epoch [51/100], Step[359/526], Loss: 0.6662
Epoch [51/100], Step[360/526], Loss: 0.6796
Epoch [51/100], Step[361/526], Loss: 0.7185
Epoch [51/100], Step[362/526], Loss: 0.7042
Epoch [51/100], Step[363/526], Loss: 0.6935
Epoch [51/100], Step[364/526], Loss: 0.7147
Epoch [51/100], Step[365/526], Loss: 0.7140
Epoch [51/100], Step[366/526], Loss: 0.6854
Epoch [51/100], Step[367/526], Loss: 0.6923
Epoch [51/100], Step[368/526], Loss: 0.6506
Epoch [51/100], Step[369/526], Loss: 0.6606
Epoch [51/100], Step[370/526], Loss: 0.6467
Epoch [51/100], Step[371/526], Loss: 0.7322
Epoch [51/100], Step[372/526], Loss: 0.6421
Epoch [51/100], Step[373/526], Loss: 0.6774
Epoch [51/100], Step[374/526], Loss: 0.7095
Epoch [51/100], Step[375/526], Loss: 0.6482
Epoch [51/100], Step[376/526], Loss: 0.6720
Epoch [51/100], Step[377/526], Loss: 0.6908
Epoch [51/100], Step[378/526], Loss: 0.6903
Epoch [51/100], Step[379/526], Loss: 0.7491
Epoch [51/100], Step[380/526], Loss: 0.6158
Epoch [51/100], Step[381/526], Loss: 0.5981
Epoch [51/100], Step[382/526], Loss: 0.6734
Epoch [51/100], Step[383/526], Loss: 0.6978
Epoch [51/100], Step[384/526], Loss: 0.6335
Epoch [51/100], Step[385/526], Loss: 0.6301
Epoch [51/100], Step[386/526], Loss: 0.6681
Epoch [51/100], Step[387/526], Loss: 0.6628
Epoch [51/100], Step[388/526], Loss: 0.5987
Epoch [51/100], Step[389/526], Loss: 0.7233
Epoch [51/100], Step[390/526], Loss: 0.5850
Epoch [51/100], Step[391/526], Loss: 0.6551
Epoch [51/100], Step[392/526], Loss: 0.6996
Epoch [51/100], Step[393/526], Loss: 0.5856
Epoch [51/100], Step[394/526], Loss: 0.5140
Epoch [51/100], Step[395/526], Loss: 0.6101
Epoch [51/100], Step[396/526], Loss: 0.6310
Epoch [51/100], Step[397/526], Loss: 0.4718
Epoch [51/100], Step[398/526], Loss: 0.6047
Epoch [51/100], Step[399/526], Loss: 0.6534
Epoch [51/100], Step[400/526], Loss: 0.4726
Epoch [51/100], Step[401/526], Loss: 0.5945
Epoch [51/100], Step[402/526], Loss: 0.6407
Epoch [51/100], Step[403/526], Loss: 0.7275
Epoch [51/100], Step[404/526], Loss: 0.4783
Epoch [51/100], Step[405/526], Loss: 0.5031
Epoch [51/100], Step[406/526], Loss: 0.6292
Epoch [51/100], Step[407/526], Loss: 0.7583
Epoch [51/100], Step[408/526], Loss: 0.6552
Epoch [51/100], Step[409/526], Loss: 0.4724
Epoch [51/100], Step[410/526], Loss: 0.4916
Epoch [51/100], Step[411/526], Loss: 0.5345
Epoch [51/100], Step[412/526], Loss: 0.5939
Epoch [51/100], Step[413/526], Loss: 0.5961
Epoch [51/100], Step[414/526], Loss: 0.6421
Epoch [51/100], Step[415/526], Loss: 0.6088
Epoch [51/100], Step[416/526], Loss: 0.5465
Epoch [51/100], Step[417/526], Loss: 0.4542
Epoch [51/100], Step[418/526], Loss: 0.7426
Epoch [51/100], Step[419/526], Loss: 0.6856
Epoch [51/100], Step[420/526], Loss: 0.6836
Epoch [51/100], Step[421/526], Loss: 0.6421
Epoch [51/100], Step[422/526], Loss: 0.7715
Epoch [51/100], Step[423/526], Loss: 0.6997
Epoch [51/100], Step[424/526], Loss: 0.7402
Epoch [51/100], Step[425/526], Loss: 0.7012
Epoch [51/100], Step[426/526], Loss: 0.7578
Epoch [51/100], Step[427/526], Loss: 0.7080
Epoch [51/100], Step[428/526], Loss: 0.7142
Epoch [51/100], Step[429/526], Loss: 0.7266
Epoch [51/100], Step[430/526], Loss: 0.7907
Epoch [51/100], Step[431/526], Loss: 0.7043
Epoch [51/100], Step[432/526], Loss: 0.7286
Epoch [51/100], Step[433/526], Loss: 0.6723
Epoch [51/100], Step[434/526], Loss: 0.6106
Epoch [51/100], Step[435/526], Loss: 0.7796
Epoch [51/100], Step[436/526], Loss: 0.8107
Epoch [51/100], Step[437/526], Loss: 0.4905
Epoch [51/100], Step[438/526], Loss: 0.3608
Epoch [51/100], Step[439/526], Loss: 0.7231
Epoch [51/100], Step[440/526], Loss: 0.6859
Epoch [51/100], Step[441/526], Loss: 0.6967
Epoch [51/100], Step[442/526], Loss: 0.6417
Epoch [51/100], Step[443/526], Loss: 0.6705
Epoch [51/100], Step[444/526], Loss: 0.7526
Epoch [51/100], Step[445/526], Loss: 0.7045
Epoch [51/100], Step[446/526], Loss: 0.7136
Epoch [51/100], Step[447/526], Loss: 0.7176
Epoch [51/100], Step[448/526], Loss: 0.7195
Epoch [51/100], Step[449/526], Loss: 0.6723
Epoch [51/100], Step[450/526], Loss: 0.6066
Epoch [51/100], Step[451/526], Loss: 0.6635
Epoch [51/100], Step[452/526], Loss: 0.7244
Epoch [51/100], Step[453/526], Loss: 0.7079
Epoch [51/100], Step[454/526], Loss: 0.8303
Epoch [51/100], Step[455/526], Loss: 0.6617
Epoch [51/100], Step[456/526], Loss: 0.6285
Epoch [51/100], Step[457/526], Loss: 0.6993
Epoch [51/100], Step[458/526], Loss: 0.6684
Epoch [51/100], Step[459/526], Loss: 0.6657
Epoch [51/100], Step[460/526], Loss: 0.6429
Epoch [51/100], Step[461/526], Loss: 0.6118
Epoch [51/100], Step[462/526], Loss: 0.6777
Epoch [51/100], Step[463/526], Loss: 0.6508
Epoch [51/100], Step[464/526], Loss: 0.6368
Epoch [51/100], Step[465/526], Loss: 0.6621
Epoch [51/100], Step[466/526], Loss: 0.6651
Epoch [51/100], Step[467/526], Loss: 0.6533
Epoch [51/100], Step[468/526], Loss: 0.6175
Epoch [51/100], Step[469/526], Loss: 0.8064
Epoch [51/100], Step[470/526], Loss: 0.6572
Epoch [51/100], Step[471/526], Loss: 0.6981
Epoch [51/100], Step[472/526], Loss: 0.6719
Epoch [51/100], Step[473/526], Loss: 0.6809
Epoch [51/100], Step[474/526], Loss: 0.6780
Epoch [51/100], Step[475/526], Loss: 0.8412
Epoch [51/100], Step[476/526], Loss: 0.7447
Epoch [51/100], Step[477/526], Loss: 0.6992
Epoch [51/100], Step[478/526], Loss: 0.6902
Epoch [51/100], Step[479/526], Loss: 0.6594
Epoch [51/100], Step[480/526], Loss: 0.7341
Epoch [51/100], Step[481/526], Loss: 0.7322
Epoch [51/100], Step[482/526], Loss: 0.6193
Epoch [51/100], Step[483/526], Loss: 0.5398
Epoch [51/100], Step[484/526], Loss: 0.6937
Epoch [51/100], Step[485/526], Loss: 0.7706
Epoch [51/100], Step[486/526], Loss: 0.7243
Epoch [51/100], Step[487/526], Loss: 0.7385
Epoch [51/100], Step[488/526], Loss: 0.7053
Epoch [51/100], Step[489/526], Loss: 0.6656
Epoch [51/100], Step[490/526], Loss: 0.6190
Epoch [51/100], Step[491/526], Loss: 0.6910
Epoch [51/100], Step[492/526], Loss: 0.6602
Epoch [51/100], Step[493/526], Loss: 0.6457
Epoch [51/100], Step[494/526], Loss: 0.6642
Epoch [51/100], Step[495/526], Loss: 0.6871
Epoch [51/100], Step[496/526], Loss: 0.6651
Epoch [51/100], Step[497/526], Loss: 0.6401
Epoch [51/100], Step[498/526], Loss: 0.6735
Epoch [51/100], Step[499/526], Loss: 0.6722
Epoch [51/100], Step[500/526], Loss: 0.6838
Epoch [51/100], Step[501/526], Loss: 0.6541
Epoch [51/100], Step[502/526], Loss: 0.6948
Epoch [51/100], Step[503/526], Loss: 0.7076
Epoch [51/100], Step[504/526], Loss: 0.6989
Epoch [51/100], Step[505/526], Loss: 0.7073
Epoch [51/100], Step[506/526], Loss: 0.6795
Epoch [51/100], Step[507/526], Loss: 0.6754
Epoch [51/100], Step[508/526], Loss: 0.7003
Epoch [51/100], Step[509/526], Loss: 0.6533
Epoch [51/100], Step[510/526], Loss: 0.7045
Epoch [51/100], Step[511/526], Loss: 0.6432
Epoch [51/100], Step[512/526], Loss: 0.6734
Epoch [51/100], Step[513/526], Loss: 0.6407
Epoch [51/100], Step[514/526], Loss: 0.6535
Epoch [51/100], Step[515/526], Loss: 0.5833
Epoch [51/100], Step[516/526], Loss: 0.7545
Epoch [51/100], Step[517/526], Loss: 0.6866
Epoch [51/100], Step[518/526], Loss: 0.7358
Epoch [51/100], Step[519/526], Loss: 0.7145
Epoch [51/100], Step[520/526], Loss: 0.6768
Epoch [51/100], Step[521/526], Loss: 0.6689
Epoch [51/100], Step[522/526], Loss: 0.6024
Epoch [51/100], Step[523/526], Loss: 0.6472
Epoch [51/100], Step[524/526], Loss: 0.6328
Epoch [51/100], Step[525/526], Loss: 0.7463
Epoch [51/100], Step[526/526], Loss: 0.7161
Epoch [52/100], Step[1/526], Loss: 0.6586
Epoch [52/100], Step[2/526], Loss: 0.6411
Epoch [52/100], Step[3/526], Loss: 0.6811
Epoch [52/100], Step[4/526], Loss: 0.6313
Epoch [52/100], Step[5/526], Loss: 0.7386
Epoch [52/100], Step[6/526], Loss: 0.7550
Epoch [52/100], Step[7/526], Loss: 0.6953
Epoch [52/100], Step[8/526], Loss: 0.6805
Epoch [52/100], Step[9/526], Loss: 0.7049
Epoch [52/100], Step[10/526], Loss: 0.6686
Epoch [52/100], Step[11/526], Loss: 0.6838
Epoch [52/100], Step[12/526], Loss: 0.7312
Epoch [52/100], Step[13/526], Loss: 0.6202
Epoch [52/100], Step[14/526], Loss: 0.6639
Epoch [52/100], Step[15/526], Loss: 0.6860
Epoch [52/100], Step[16/526], Loss: 0.7041
Epoch [52/100], Step[17/526], Loss: 0.7084
Epoch [52/100], Step[18/526], Loss: 0.6709
Epoch [52/100], Step[19/526], Loss: 0.6946
Epoch [52/100], Step[20/526], Loss: 0.7213
Epoch [52/100], Step[21/526], Loss: 0.7524
Epoch [52/100], Step[22/526], Loss: 0.7321
Epoch [52/100], Step[23/526], Loss: 0.7357
Epoch [52/100], Step[24/526], Loss: 0.7144
Epoch [52/100], Step[25/526], Loss: 0.6902
Epoch [52/100], Step[26/526], Loss: 0.6205
Epoch [52/100], Step[27/526], Loss: 0.6771
Epoch [52/100], Step[28/526], Loss: 0.6915
Epoch [52/100], Step[29/526], Loss: 0.6441
Epoch [52/100], Step[30/526], Loss: 0.6943
Epoch [52/100], Step[31/526], Loss: 0.7049
Epoch [52/100], Step[32/526], Loss: 0.6656
Epoch [52/100], Step[33/526], Loss: 0.7077
Epoch [52/100], Step[34/526], Loss: 0.6949
Epoch [52/100], Step[35/526], Loss: 0.7116
Epoch [52/100], Step[36/526], Loss: 0.6969
Epoch [52/100], Step[37/526], Loss: 0.6915
Epoch [52/100], Step[38/526], Loss: 0.7116
Epoch [52/100], Step[39/526], Loss: 0.6918
Epoch [52/100], Step[40/526], Loss: 0.7008
Epoch [52/100], Step[41/526], Loss: 0.6615
Epoch [52/100], Step[42/526], Loss: 0.7275
Epoch [52/100], Step[43/526], Loss: 0.7182
Epoch [52/100], Step[44/526], Loss: 0.6861
Epoch [52/100], Step[45/526], Loss: 0.6895
Epoch [52/100], Step[46/526], Loss: 0.6847
Epoch [52/100], Step[47/526], Loss: 0.7090
Epoch [52/100], Step[48/526], Loss: 0.7260
Epoch [52/100], Step[49/526], Loss: 0.7146
Epoch [52/100], Step[50/526], Loss: 0.6891
Epoch [52/100], Step[51/526], Loss: 0.6938
Epoch [52/100], Step[52/526], Loss: 0.6728
Epoch [52/100], Step[53/526], Loss: 0.7033
Epoch [52/100], Step[54/526], Loss: 0.7167
Epoch [52/100], Step[55/526], Loss: 0.7286
Epoch [52/100], Step[56/526], Loss: 0.6947
Epoch [52/100], Step[57/526], Loss: 0.6836
Epoch [52/100], Step[58/526], Loss: 0.6855
Epoch [52/100], Step[59/526], Loss: 0.6494
Epoch [52/100], Step[60/526], Loss: 0.6700
Epoch [52/100], Step[61/526], Loss: 0.6670
Epoch [52/100], Step[62/526], Loss: 0.6992
Epoch [52/100], Step[63/526], Loss: 0.6888
Epoch [52/100], Step[64/526], Loss: 0.6735
Epoch [52/100], Step[65/526], Loss: 0.7327
Epoch [52/100], Step[66/526], Loss: 0.6832
Epoch [52/100], Step[67/526], Loss: 0.6485
Epoch [52/100], Step[68/526], Loss: 0.6559
Epoch [52/100], Step[69/526], Loss: 0.6948
Epoch [52/100], Step[70/526], Loss: 0.6827
Epoch [52/100], Step[71/526], Loss: 0.6702
Epoch [52/100], Step[72/526], Loss: 0.6846
Epoch [52/100], Step[73/526], Loss: 0.7133
Epoch [52/100], Step[74/526], Loss: 0.6578
Epoch [52/100], Step[75/526], Loss: 0.7035
Epoch [52/100], Step[76/526], Loss: 0.6881
Epoch [52/100], Step[77/526], Loss: 0.6959
Epoch [52/100], Step[78/526], Loss: 0.7086
Epoch [52/100], Step[79/526], Loss: 0.6908
Epoch [52/100], Step[80/526], Loss: 0.6894
Epoch [52/100], Step[81/526], Loss: 0.7038
Epoch [52/100], Step[82/526], Loss: 0.7307
Epoch [52/100], Step[83/526], Loss: 0.7052
Epoch [52/100], Step[84/526], Loss: 0.6926
Epoch [52/100], Step[85/526], Loss: 0.6608
Epoch [52/100], Step[86/526], Loss: 0.6973
Epoch [52/100], Step[87/526], Loss: 0.6923
Epoch [52/100], Step[88/526], Loss: 0.6872
Epoch [52/100], Step[89/526], Loss: 0.7202
Epoch [52/100], Step[90/526], Loss: 0.6837
Epoch [52/100], Step[91/526], Loss: 0.6821
Epoch [52/100], Step[92/526], Loss: 0.6797
Epoch [52/100], Step[93/526], Loss: 0.6879
Epoch [52/100], Step[94/526], Loss: 0.8047
Epoch [52/100], Step[95/526], Loss: 0.7168
Epoch [52/100], Step[96/526], Loss: 0.6229
Epoch [52/100], Step[97/526], Loss: 0.5921
Epoch [52/100], Step[98/526], Loss: 0.6847
Epoch [52/100], Step[99/526], Loss: 0.6872
Epoch [52/100], Step[100/526], Loss: 0.6602
Epoch [52/100], Step[101/526], Loss: 0.6587
Epoch [52/100], Step[102/526], Loss: 0.6334
Epoch [52/100], Step[103/526], Loss: 0.7085
Epoch [52/100], Step[104/526], Loss: 0.6520
Epoch [52/100], Step[105/526], Loss: 0.6361
Epoch [52/100], Step[106/526], Loss: 0.6885
Epoch [52/100], Step[107/526], Loss: 0.6341
Epoch [52/100], Step[108/526], Loss: 0.5767
Epoch [52/100], Step[109/526], Loss: 0.6666
Epoch [52/100], Step[110/526], Loss: 0.6828
Epoch [52/100], Step[111/526], Loss: 0.5922
Epoch [52/100], Step[112/526], Loss: 0.7347
Epoch [52/100], Step[113/526], Loss: 0.6060
Epoch [52/100], Step[114/526], Loss: 0.6599
Epoch [52/100], Step[115/526], Loss: 0.5983
Epoch [52/100], Step[116/526], Loss: 0.6264
Epoch [52/100], Step[117/526], Loss: 0.6653
Epoch [52/100], Step[118/526], Loss: 0.7578
Epoch [52/100], Step[119/526], Loss: 0.6779
Epoch [52/100], Step[120/526], Loss: 0.6811
Epoch [52/100], Step[121/526], Loss: 0.6903
Epoch [52/100], Step[122/526], Loss: 0.6251
Epoch [52/100], Step[123/526], Loss: 0.6463
Epoch [52/100], Step[124/526], Loss: 0.6712
Epoch [52/100], Step[125/526], Loss: 0.6338
Epoch [52/100], Step[126/526], Loss: 0.7216
Epoch [52/100], Step[127/526], Loss: 0.6751
Epoch [52/100], Step[128/526], Loss: 0.6438
Epoch [52/100], Step[129/526], Loss: 0.5982
Epoch [52/100], Step[130/526], Loss: 0.6168
Epoch [52/100], Step[131/526], Loss: 0.6680
Epoch [52/100], Step[132/526], Loss: 0.7153
Epoch [52/100], Step[133/526], Loss: 0.6730
Epoch [52/100], Step[134/526], Loss: 0.6301
Epoch [52/100], Step[135/526], Loss: 0.6438
Epoch [52/100], Step[136/526], Loss: 0.5661
Epoch [52/100], Step[137/526], Loss: 0.6417
Epoch [52/100], Step[138/526], Loss: 0.6473
Epoch [52/100], Step[139/526], Loss: 0.6960
Epoch [52/100], Step[140/526], Loss: 0.5968
Epoch [52/100], Step[141/526], Loss: 0.6776
Epoch [52/100], Step[142/526], Loss: 0.6650
Epoch [52/100], Step[143/526], Loss: 0.6885
Epoch [52/100], Step[144/526], Loss: 0.7801
Epoch [52/100], Step[145/526], Loss: 0.5484
Epoch [52/100], Step[146/526], Loss: 0.5142
Epoch [52/100], Step[147/526], Loss: 0.4633
Epoch [52/100], Step[148/526], Loss: 0.6034
Epoch [52/100], Step[149/526], Loss: 0.4983
Epoch [52/100], Step[150/526], Loss: 0.5554
Epoch [52/100], Step[151/526], Loss: 0.5514
Epoch [52/100], Step[152/526], Loss: 0.6213
Epoch [52/100], Step[153/526], Loss: 0.6342
Epoch [52/100], Step[154/526], Loss: 0.7116
Epoch [52/100], Step[155/526], Loss: 0.7031
Epoch [52/100], Step[156/526], Loss: 0.5410
Epoch [52/100], Step[157/526], Loss: 0.2735
Epoch [52/100], Step[158/526], Loss: 0.5893
Epoch [52/100], Step[159/526], Loss: 0.6706
Epoch [52/100], Step[160/526], Loss: 0.5486
Epoch [52/100], Step[161/526], Loss: 0.8863
Epoch [52/100], Step[162/526], Loss: 0.7024
Epoch [52/100], Step[163/526], Loss: 0.7160
Epoch [52/100], Step[164/526], Loss: 0.6183
Epoch [52/100], Step[165/526], Loss: 0.7048
Epoch [52/100], Step[166/526], Loss: 0.5087
Epoch [52/100], Step[167/526], Loss: 0.5609
Epoch [52/100], Step[168/526], Loss: 0.6912
Epoch [52/100], Step[169/526], Loss: 0.7514
Epoch [52/100], Step[170/526], Loss: 0.7038
Epoch [52/100], Step[171/526], Loss: 0.7338
Epoch [52/100], Step[172/526], Loss: 0.7033
Epoch [52/100], Step[173/526], Loss: 0.8151
Epoch [52/100], Step[174/526], Loss: 0.6151
Epoch [52/100], Step[175/526], Loss: 0.6653
Epoch [52/100], Step[176/526], Loss: 0.6175
Epoch [52/100], Step[177/526], Loss: 0.6623
Epoch [52/100], Step[178/526], Loss: 0.6854
Epoch [52/100], Step[179/526], Loss: 0.6288
Epoch [52/100], Step[180/526], Loss: 0.6727
Epoch [52/100], Step[181/526], Loss: 0.6427
Epoch [52/100], Step[182/526], Loss: 0.6775
Epoch [52/100], Step[183/526], Loss: 0.5351
Epoch [52/100], Step[184/526], Loss: 0.5950
Epoch [52/100], Step[185/526], Loss: 0.5965
Epoch [52/100], Step[186/526], Loss: 0.6590
Epoch [52/100], Step[187/526], Loss: 0.7353
Epoch [52/100], Step[188/526], Loss: 0.6945
Epoch [52/100], Step[189/526], Loss: 0.6730
Epoch [52/100], Step[190/526], Loss: 0.6514
Epoch [52/100], Step[191/526], Loss: 0.6999
Epoch [52/100], Step[192/526], Loss: 0.8182
Epoch [52/100], Step[193/526], Loss: 0.6535
Epoch [52/100], Step[194/526], Loss: 0.6149
Epoch [52/100], Step[195/526], Loss: 0.6464
Epoch [52/100], Step[196/526], Loss: 0.7269
Epoch [52/100], Step[197/526], Loss: 0.6839
Epoch [52/100], Step[198/526], Loss: 0.6358
Epoch [52/100], Step[199/526], Loss: 0.7370
Epoch [52/100], Step[200/526], Loss: 0.6794
Epoch [52/100], Step[201/526], Loss: 0.6735
Epoch [52/100], Step[202/526], Loss: 0.7374
Epoch [52/100], Step[203/526], Loss: 0.7050
Epoch [52/100], Step[204/526], Loss: 0.7154
Epoch [52/100], Step[205/526], Loss: 0.6988
Epoch [52/100], Step[206/526], Loss: 0.6833
Epoch [52/100], Step[207/526], Loss: 0.7111
Epoch [52/100], Step[208/526], Loss: 0.6808
Epoch [52/100], Step[209/526], Loss: 0.6813
Epoch [52/100], Step[210/526], Loss: 0.7603
Epoch [52/100], Step[211/526], Loss: 0.6307
Epoch [52/100], Step[212/526], Loss: 0.6868
Epoch [52/100], Step[213/526], Loss: 0.7210
Epoch [52/100], Step[214/526], Loss: 0.7439
Epoch [52/100], Step[215/526], Loss: 0.6939
Epoch [52/100], Step[216/526], Loss: 0.6771
Epoch [52/100], Step[217/526], Loss: 0.6737
Epoch [52/100], Step[218/526], Loss: 0.6982
Epoch [52/100], Step[219/526], Loss: 0.6905
Epoch [52/100], Step[220/526], Loss: 0.7252
Epoch [52/100], Step[221/526], Loss: 0.6941
Epoch [52/100], Step[222/526], Loss: 0.7397
Epoch [52/100], Step[223/526], Loss: 0.6793
Epoch [52/100], Step[224/526], Loss: 0.6820
Epoch [52/100], Step[225/526], Loss: 0.7210
Epoch [52/100], Step[226/526], Loss: 0.6738
Epoch [52/100], Step[227/526], Loss: 0.6675
Epoch [52/100], Step[228/526], Loss: 0.6623
Epoch [52/100], Step[229/526], Loss: 0.6866
Epoch [52/100], Step[230/526], Loss: 0.6628
Epoch [52/100], Step[231/526], Loss: 0.6665
Epoch [52/100], Step[232/526], Loss: 0.7087
Epoch [52/100], Step[233/526], Loss: 0.6842
Epoch [52/100], Step[234/526], Loss: 0.6762
Epoch [52/100], Step[235/526], Loss: 0.7034
Epoch [52/100], Step[236/526], Loss: 0.6951
Epoch [52/100], Step[237/526], Loss: 0.7166
Epoch [52/100], Step[238/526], Loss: 0.6808
Epoch [52/100], Step[239/526], Loss: 0.6673
Epoch [52/100], Step[240/526], Loss: 0.7291
Epoch [52/100], Step[241/526], Loss: 0.6946
Epoch [52/100], Step[242/526], Loss: 0.7102
Epoch [52/100], Step[243/526], Loss: 0.6348
Epoch [52/100], Step[244/526], Loss: 0.6528
Epoch [52/100], Step[245/526], Loss: 0.6425
Epoch [52/100], Step[246/526], Loss: 0.6648
Epoch [52/100], Step[247/526], Loss: 0.6210
Epoch [52/100], Step[248/526], Loss: 0.6563
Epoch [52/100], Step[249/526], Loss: 0.6669
Epoch [52/100], Step[250/526], Loss: 0.6817
Epoch [52/100], Step[251/526], Loss: 0.7038
Epoch [52/100], Step[252/526], Loss: 0.6948
Epoch [52/100], Step[253/526], Loss: 0.6319
Epoch [52/100], Step[254/526], Loss: 0.6646
Epoch [52/100], Step[255/526], Loss: 0.6017
Epoch [52/100], Step[256/526], Loss: 0.6875
Epoch [52/100], Step[257/526], Loss: 0.6671
Epoch [52/100], Step[258/526], Loss: 0.6275
Epoch [52/100], Step[259/526], Loss: 0.6834
Epoch [52/100], Step[260/526], Loss: 0.7468
Epoch [52/100], Step[261/526], Loss: 0.7526
Epoch [52/100], Step[262/526], Loss: 0.6755
Epoch [52/100], Step[263/526], Loss: 0.6642
Epoch [52/100], Step[264/526], Loss: 0.6547
Epoch [52/100], Step[265/526], Loss: 0.6303
Epoch [52/100], Step[266/526], Loss: 0.6338
Epoch [52/100], Step[267/526], Loss: 0.5027
Epoch [52/100], Step[268/526], Loss: 0.5417
Epoch [52/100], Step[269/526], Loss: 0.4507
Epoch [52/100], Step[270/526], Loss: 0.3781
Epoch [52/100], Step[271/526], Loss: 0.5088
Epoch [52/100], Step[272/526], Loss: 0.5306
Epoch [52/100], Step[273/526], Loss: 0.6329
Epoch [52/100], Step[274/526], Loss: 0.4244
Epoch [52/100], Step[275/526], Loss: 0.4171
Epoch [52/100], Step[276/526], Loss: 0.4646
Epoch [52/100], Step[277/526], Loss: 0.4207
Epoch [52/100], Step[278/526], Loss: 0.4534
Epoch [52/100], Step[279/526], Loss: 0.4051
Epoch [52/100], Step[280/526], Loss: 0.4432
Epoch [52/100], Step[281/526], Loss: 0.6295
Epoch [52/100], Step[282/526], Loss: 0.3550
Epoch [52/100], Step[283/526], Loss: 0.3656
Epoch [52/100], Step[284/526], Loss: 0.3987
Epoch [52/100], Step[285/526], Loss: 0.2722
Epoch [52/100], Step[286/526], Loss: 0.7003
Epoch [52/100], Step[287/526], Loss: 0.4791
Epoch [52/100], Step[288/526], Loss: 0.4331
Epoch [52/100], Step[289/526], Loss: 0.6189
Epoch [52/100], Step[290/526], Loss: 0.4224
Epoch [52/100], Step[291/526], Loss: 0.4826
Epoch [52/100], Step[292/526], Loss: 0.2545
Epoch [52/100], Step[293/526], Loss: 0.3050
Epoch [52/100], Step[294/526], Loss: 0.3173
Epoch [52/100], Step[295/526], Loss: 0.4237
Epoch [52/100], Step[296/526], Loss: 0.6257
Epoch [52/100], Step[297/526], Loss: 0.2969
Epoch [52/100], Step[298/526], Loss: 0.2820
Epoch [52/100], Step[299/526], Loss: 0.2353
Epoch [52/100], Step[300/526], Loss: 0.2814
Epoch [52/100], Step[301/526], Loss: 0.6213
Epoch [52/100], Step[302/526], Loss: 0.3232
Epoch [52/100], Step[303/526], Loss: 0.4702
Epoch [52/100], Step[304/526], Loss: 0.2592
Epoch [52/100], Step[305/526], Loss: 0.2576
Epoch [52/100], Step[306/526], Loss: 0.5824
Epoch [52/100], Step[307/526], Loss: 0.8953
Epoch [52/100], Step[308/526], Loss: 1.3239
Epoch [52/100], Step[309/526], Loss: 0.8286
Epoch [52/100], Step[310/526], Loss: 0.9575
Epoch [52/100], Step[311/526], Loss: 0.8227
Epoch [52/100], Step[312/526], Loss: 0.4896
Epoch [52/100], Step[313/526], Loss: 0.4866
Epoch [52/100], Step[314/526], Loss: 0.6556
Epoch [52/100], Step[315/526], Loss: 0.7046
Epoch [52/100], Step[316/526], Loss: 0.4923
Epoch [52/100], Step[317/526], Loss: 0.3238
Epoch [52/100], Step[318/526], Loss: 0.7720
Epoch [52/100], Step[319/526], Loss: 0.3585
Epoch [52/100], Step[320/526], Loss: 0.6260
Epoch [52/100], Step[321/526], Loss: 0.7046
Epoch [52/100], Step[322/526], Loss: 0.2715
Epoch [52/100], Step[323/526], Loss: 0.6162
Epoch [52/100], Step[324/526], Loss: 0.6531
Epoch [52/100], Step[325/526], Loss: 0.5928
Epoch [52/100], Step[326/526], Loss: 0.7498
Epoch [52/100], Step[327/526], Loss: 0.7275
Epoch [52/100], Step[328/526], Loss: 0.9287
Epoch [52/100], Step[329/526], Loss: 1.2752
Epoch [52/100], Step[330/526], Loss: 1.0378
Epoch [52/100], Step[331/526], Loss: 0.7806
Epoch [52/100], Step[332/526], Loss: 0.8205
Epoch [52/100], Step[333/526], Loss: 0.7670
Epoch [52/100], Step[334/526], Loss: 0.7647
Epoch [52/100], Step[335/526], Loss: 0.7765
Epoch [52/100], Step[336/526], Loss: 0.6926
Epoch [52/100], Step[337/526], Loss: 0.5928
Epoch [52/100], Step[338/526], Loss: 0.7026
Epoch [52/100], Step[339/526], Loss: 0.6393
Epoch [52/100], Step[340/526], Loss: 0.7198
Epoch [52/100], Step[341/526], Loss: 0.7664
Epoch [52/100], Step[342/526], Loss: 0.7788
Epoch [52/100], Step[343/526], Loss: 0.5389
Epoch [52/100], Step[344/526], Loss: 0.7268
Epoch [52/100], Step[345/526], Loss: 0.6532
Epoch [52/100], Step[346/526], Loss: 0.6675
Epoch [52/100], Step[347/526], Loss: 0.7119
Epoch [52/100], Step[348/526], Loss: 0.6294
Epoch [52/100], Step[349/526], Loss: 0.5807
Epoch [52/100], Step[350/526], Loss: 0.6699
Epoch [52/100], Step[351/526], Loss: 0.7141
Epoch [52/100], Step[352/526], Loss: 0.6068
Epoch [52/100], Step[353/526], Loss: 0.6841
Epoch [52/100], Step[354/526], Loss: 0.6708
Epoch [52/100], Step[355/526], Loss: 0.6720
Epoch [52/100], Step[356/526], Loss: 0.7026
Epoch [52/100], Step[357/526], Loss: 0.6602
Epoch [52/100], Step[358/526], Loss: 0.6996
Epoch [52/100], Step[359/526], Loss: 0.6645
Epoch [52/100], Step[360/526], Loss: 0.6801
Epoch [52/100], Step[361/526], Loss: 0.7195
Epoch [52/100], Step[362/526], Loss: 0.7046
Epoch [52/100], Step[363/526], Loss: 0.6935
Epoch [52/100], Step[364/526], Loss: 0.7145
Epoch [52/100], Step[365/526], Loss: 0.7132
Epoch [52/100], Step[366/526], Loss: 0.6845
Epoch [52/100], Step[367/526], Loss: 0.6924
Epoch [52/100], Step[368/526], Loss: 0.6506
Epoch [52/100], Step[369/526], Loss: 0.6593
Epoch [52/100], Step[370/526], Loss: 0.6521
Epoch [52/100], Step[371/526], Loss: 0.7314
Epoch [52/100], Step[372/526], Loss: 0.6449
Epoch [52/100], Step[373/526], Loss: 0.6784
Epoch [52/100], Step[374/526], Loss: 0.7095
Epoch [52/100], Step[375/526], Loss: 0.6484
Epoch [52/100], Step[376/526], Loss: 0.6709
Epoch [52/100], Step[377/526], Loss: 0.6913
Epoch [52/100], Step[378/526], Loss: 0.6898
Epoch [52/100], Step[379/526], Loss: 0.7477
Epoch [52/100], Step[380/526], Loss: 0.6148
Epoch [52/100], Step[381/526], Loss: 0.5980
Epoch [52/100], Step[382/526], Loss: 0.6740
Epoch [52/100], Step[383/526], Loss: 0.6977
Epoch [52/100], Step[384/526], Loss: 0.6338
Epoch [52/100], Step[385/526], Loss: 0.6278
Epoch [52/100], Step[386/526], Loss: 0.6688
Epoch [52/100], Step[387/526], Loss: 0.6615
Epoch [52/100], Step[388/526], Loss: 0.5982
Epoch [52/100], Step[389/526], Loss: 0.7234
Epoch [52/100], Step[390/526], Loss: 0.5812
Epoch [52/100], Step[391/526], Loss: 0.6543
Epoch [52/100], Step[392/526], Loss: 0.6990
Epoch [52/100], Step[393/526], Loss: 0.5849
Epoch [52/100], Step[394/526], Loss: 0.5118
Epoch [52/100], Step[395/526], Loss: 0.6082
Epoch [52/100], Step[396/526], Loss: 0.6304
Epoch [52/100], Step[397/526], Loss: 0.4686
Epoch [52/100], Step[398/526], Loss: 0.6054
Epoch [52/100], Step[399/526], Loss: 0.6541
Epoch [52/100], Step[400/526], Loss: 0.4706
Epoch [52/100], Step[401/526], Loss: 0.5942
Epoch [52/100], Step[402/526], Loss: 0.6390
Epoch [52/100], Step[403/526], Loss: 0.7428
Epoch [52/100], Step[404/526], Loss: 0.4776
Epoch [52/100], Step[405/526], Loss: 0.5022
Epoch [52/100], Step[406/526], Loss: 0.6308
Epoch [52/100], Step[407/526], Loss: 0.7581
Epoch [52/100], Step[408/526], Loss: 0.6546
Epoch [52/100], Step[409/526], Loss: 0.4692
Epoch [52/100], Step[410/526], Loss: 0.4903
Epoch [52/100], Step[411/526], Loss: 0.5342
Epoch [52/100], Step[412/526], Loss: 0.5934
Epoch [52/100], Step[413/526], Loss: 0.5981
Epoch [52/100], Step[414/526], Loss: 0.6417
Epoch [52/100], Step[415/526], Loss: 0.6084
Epoch [52/100], Step[416/526], Loss: 0.5463
Epoch [52/100], Step[417/526], Loss: 0.4547
Epoch [52/100], Step[418/526], Loss: 0.7424
Epoch [52/100], Step[419/526], Loss: 0.6864
Epoch [52/100], Step[420/526], Loss: 0.6827
Epoch [52/100], Step[421/526], Loss: 0.6430
Epoch [52/100], Step[422/526], Loss: 0.7706
Epoch [52/100], Step[423/526], Loss: 0.6998
Epoch [52/100], Step[424/526], Loss: 0.7404
Epoch [52/100], Step[425/526], Loss: 0.7017
Epoch [52/100], Step[426/526], Loss: 0.7569
Epoch [52/100], Step[427/526], Loss: 0.7080
Epoch [52/100], Step[428/526], Loss: 0.7142
Epoch [52/100], Step[429/526], Loss: 0.7272
Epoch [52/100], Step[430/526], Loss: 0.7877
Epoch [52/100], Step[431/526], Loss: 0.7048
Epoch [52/100], Step[432/526], Loss: 0.7280
Epoch [52/100], Step[433/526], Loss: 0.6724
Epoch [52/100], Step[434/526], Loss: 0.6109
Epoch [52/100], Step[435/526], Loss: 0.7793
Epoch [52/100], Step[436/526], Loss: 0.8112
Epoch [52/100], Step[437/526], Loss: 0.4898
Epoch [52/100], Step[438/526], Loss: 0.3607
Epoch [52/100], Step[439/526], Loss: 0.7227
Epoch [52/100], Step[440/526], Loss: 0.6855
Epoch [52/100], Step[441/526], Loss: 0.6922
Epoch [52/100], Step[442/526], Loss: 0.6419
Epoch [52/100], Step[443/526], Loss: 0.6709
Epoch [52/100], Step[444/526], Loss: 0.7518
Epoch [52/100], Step[445/526], Loss: 0.7047
Epoch [52/100], Step[446/526], Loss: 0.7129
Epoch [52/100], Step[447/526], Loss: 0.7172
Epoch [52/100], Step[448/526], Loss: 0.7195
Epoch [52/100], Step[449/526], Loss: 0.6708
Epoch [52/100], Step[450/526], Loss: 0.6037
Epoch [52/100], Step[451/526], Loss: 0.6635
Epoch [52/100], Step[452/526], Loss: 0.7233
Epoch [52/100], Step[453/526], Loss: 0.7045
Epoch [52/100], Step[454/526], Loss: 0.8347
Epoch [52/100], Step[455/526], Loss: 0.6516
Epoch [52/100], Step[456/526], Loss: 0.6345
Epoch [52/100], Step[457/526], Loss: 0.7143
Epoch [52/100], Step[458/526], Loss: 0.6736
Epoch [52/100], Step[459/526], Loss: 0.6595
Epoch [52/100], Step[460/526], Loss: 0.6427
Epoch [52/100], Step[461/526], Loss: 0.6125
Epoch [52/100], Step[462/526], Loss: 0.6708
Epoch [52/100], Step[463/526], Loss: 0.6521
Epoch [52/100], Step[464/526], Loss: 0.6433
Epoch [52/100], Step[465/526], Loss: 0.6604
Epoch [52/100], Step[466/526], Loss: 0.6720
Epoch [52/100], Step[467/526], Loss: 0.6402
Epoch [52/100], Step[468/526], Loss: 0.6182
Epoch [52/100], Step[469/526], Loss: 0.8073
Epoch [52/100], Step[470/526], Loss: 0.6574
Epoch [52/100], Step[471/526], Loss: 0.6864
Epoch [52/100], Step[472/526], Loss: 0.6733
Epoch [52/100], Step[473/526], Loss: 0.6772
Epoch [52/100], Step[474/526], Loss: 0.6780
Epoch [52/100], Step[475/526], Loss: 0.8441
Epoch [52/100], Step[476/526], Loss: 0.7439
Epoch [52/100], Step[477/526], Loss: 0.7007
Epoch [52/100], Step[478/526], Loss: 0.6914
Epoch [52/100], Step[479/526], Loss: 0.6584
Epoch [52/100], Step[480/526], Loss: 0.7337
Epoch [52/100], Step[481/526], Loss: 0.7342
Epoch [52/100], Step[482/526], Loss: 0.6227
Epoch [52/100], Step[483/526], Loss: 0.5398
Epoch [52/100], Step[484/526], Loss: 0.6985
Epoch [52/100], Step[485/526], Loss: 0.7788
Epoch [52/100], Step[486/526], Loss: 0.7271
Epoch [52/100], Step[487/526], Loss: 0.7592
Epoch [52/100], Step[488/526], Loss: 0.6856
Epoch [52/100], Step[489/526], Loss: 0.6241
Epoch [52/100], Step[490/526], Loss: 0.6142
Epoch [52/100], Step[491/526], Loss: 0.7008
Epoch [52/100], Step[492/526], Loss: 0.6471
Epoch [52/100], Step[493/526], Loss: 0.6416
Epoch [52/100], Step[494/526], Loss: 0.6643
Epoch [52/100], Step[495/526], Loss: 0.6877
Epoch [52/100], Step[496/526], Loss: 0.6642
Epoch [52/100], Step[497/526], Loss: 0.6375
Epoch [52/100], Step[498/526], Loss: 0.6739
Epoch [52/100], Step[499/526], Loss: 0.6700
Epoch [52/100], Step[500/526], Loss: 0.6854
Epoch [52/100], Step[501/526], Loss: 0.6577
Epoch [52/100], Step[502/526], Loss: 0.6981
Epoch [52/100], Step[503/526], Loss: 0.7130
Epoch [52/100], Step[504/526], Loss: 0.7017
Epoch [52/100], Step[505/526], Loss: 0.7103
Epoch [52/100], Step[506/526], Loss: 0.6796
Epoch [52/100], Step[507/526], Loss: 0.6723
Epoch [52/100], Step[508/526], Loss: 0.7000
Epoch [52/100], Step[509/526], Loss: 0.6520
Epoch [52/100], Step[510/526], Loss: 0.7025
Epoch [52/100], Step[511/526], Loss: 0.6435
Epoch [52/100], Step[512/526], Loss: 0.6734
Epoch [52/100], Step[513/526], Loss: 0.6450
Epoch [52/100], Step[514/526], Loss: 0.6542
Epoch [52/100], Step[515/526], Loss: 0.5799
Epoch [52/100], Step[516/526], Loss: 0.7532
Epoch [52/100], Step[517/526], Loss: 0.6877
Epoch [52/100], Step[518/526], Loss: 0.7328
Epoch [52/100], Step[519/526], Loss: 0.7142
Epoch [52/100], Step[520/526], Loss: 0.6763
Epoch [52/100], Step[521/526], Loss: 0.6687
Epoch [52/100], Step[522/526], Loss: 0.6041
Epoch [52/100], Step[523/526], Loss: 0.6481
Epoch [52/100], Step[524/526], Loss: 0.6339
Epoch [52/100], Step[525/526], Loss: 0.7465
Epoch [52/100], Step[526/526], Loss: 0.7128
Epoch [53/100], Step[1/526], Loss: 0.6585
Epoch [53/100], Step[2/526], Loss: 0.6411
Epoch [53/100], Step[3/526], Loss: 0.6817
Epoch [53/100], Step[4/526], Loss: 0.6324
Epoch [53/100], Step[5/526], Loss: 0.7381
Epoch [53/100], Step[6/526], Loss: 0.7528
Epoch [53/100], Step[7/526], Loss: 0.6950
Epoch [53/100], Step[8/526], Loss: 0.6807
Epoch [53/100], Step[9/526], Loss: 0.7051
Epoch [53/100], Step[10/526], Loss: 0.6683
Epoch [53/100], Step[11/526], Loss: 0.6837
Epoch [53/100], Step[12/526], Loss: 0.7322
Epoch [53/100], Step[13/526], Loss: 0.6205
Epoch [53/100], Step[14/526], Loss: 0.6545
Epoch [53/100], Step[15/526], Loss: 0.6868
Epoch [53/100], Step[16/526], Loss: 0.7044
Epoch [53/100], Step[17/526], Loss: 0.7117
Epoch [53/100], Step[18/526], Loss: 0.6646
Epoch [53/100], Step[19/526], Loss: 0.6756
Epoch [53/100], Step[20/526], Loss: 0.7230
Epoch [53/100], Step[21/526], Loss: 0.7507
Epoch [53/100], Step[22/526], Loss: 0.7296
Epoch [53/100], Step[23/526], Loss: 0.7363
Epoch [53/100], Step[24/526], Loss: 0.7146
Epoch [53/100], Step[25/526], Loss: 0.6911
Epoch [53/100], Step[26/526], Loss: 0.6228
Epoch [53/100], Step[27/526], Loss: 0.6777
Epoch [53/100], Step[28/526], Loss: 0.6903
Epoch [53/100], Step[29/526], Loss: 0.6452
Epoch [53/100], Step[30/526], Loss: 0.6915
Epoch [53/100], Step[31/526], Loss: 0.7061
Epoch [53/100], Step[32/526], Loss: 0.6671
Epoch [53/100], Step[33/526], Loss: 0.7095
Epoch [53/100], Step[34/526], Loss: 0.6957
Epoch [53/100], Step[35/526], Loss: 0.7117
Epoch [53/100], Step[36/526], Loss: 0.7010
Epoch [53/100], Step[37/526], Loss: 0.6914
Epoch [53/100], Step[38/526], Loss: 0.7102
Epoch [53/100], Step[39/526], Loss: 0.6911
Epoch [53/100], Step[40/526], Loss: 0.7017
Epoch [53/100], Step[41/526], Loss: 0.6633
Epoch [53/100], Step[42/526], Loss: 0.7265
Epoch [53/100], Step[43/526], Loss: 0.7178
Epoch [53/100], Step[44/526], Loss: 0.6858
Epoch [53/100], Step[45/526], Loss: 0.6911
Epoch [53/100], Step[46/526], Loss: 0.6869
Epoch [53/100], Step[47/526], Loss: 0.7042
Epoch [53/100], Step[48/526], Loss: 0.7243
Epoch [53/100], Step[49/526], Loss: 0.7042
Epoch [53/100], Step[50/526], Loss: 0.6915
Epoch [53/100], Step[51/526], Loss: 0.6936
Epoch [53/100], Step[52/526], Loss: 0.6775
Epoch [53/100], Step[53/526], Loss: 0.7047
Epoch [53/100], Step[54/526], Loss: 0.7163
Epoch [53/100], Step[55/526], Loss: 0.7282
Epoch [53/100], Step[56/526], Loss: 0.6930
Epoch [53/100], Step[57/526], Loss: 0.6836
Epoch [53/100], Step[58/526], Loss: 0.6893
Epoch [53/100], Step[59/526], Loss: 0.6521
Epoch [53/100], Step[60/526], Loss: 0.6706
Epoch [53/100], Step[61/526], Loss: 0.6695
Epoch [53/100], Step[62/526], Loss: 0.6991
Epoch [53/100], Step[63/526], Loss: 0.6877
Epoch [53/100], Step[64/526], Loss: 0.6720
Epoch [53/100], Step[65/526], Loss: 0.7303
Epoch [53/100], Step[66/526], Loss: 0.6835
Epoch [53/100], Step[67/526], Loss: 0.6484
Epoch [53/100], Step[68/526], Loss: 0.6558
Epoch [53/100], Step[69/526], Loss: 0.6953
Epoch [53/100], Step[70/526], Loss: 0.6844
Epoch [53/100], Step[71/526], Loss: 0.6698
Epoch [53/100], Step[72/526], Loss: 0.6840
Epoch [53/100], Step[73/526], Loss: 0.7127
Epoch [53/100], Step[74/526], Loss: 0.6565
Epoch [53/100], Step[75/526], Loss: 0.7025
Epoch [53/100], Step[76/526], Loss: 0.6871
Epoch [53/100], Step[77/526], Loss: 0.6955
Epoch [53/100], Step[78/526], Loss: 0.7098
Epoch [53/100], Step[79/526], Loss: 0.6906
Epoch [53/100], Step[80/526], Loss: 0.6903
Epoch [53/100], Step[81/526], Loss: 0.7028
Epoch [53/100], Step[82/526], Loss: 0.7336
Epoch [53/100], Step[83/526], Loss: 0.7068
Epoch [53/100], Step[84/526], Loss: 0.6895
Epoch [53/100], Step[85/526], Loss: 0.6567
Epoch [53/100], Step[86/526], Loss: 0.6938
Epoch [53/100], Step[87/526], Loss: 0.6932
Epoch [53/100], Step[88/526], Loss: 0.6846
Epoch [53/100], Step[89/526], Loss: 0.7200
Epoch [53/100], Step[90/526], Loss: 0.6858
Epoch [53/100], Step[91/526], Loss: 0.6796
Epoch [53/100], Step[92/526], Loss: 0.6779
Epoch [53/100], Step[93/526], Loss: 0.6841
Epoch [53/100], Step[94/526], Loss: 0.8050
Epoch [53/100], Step[95/526], Loss: 0.7172
Epoch [53/100], Step[96/526], Loss: 0.6244
Epoch [53/100], Step[97/526], Loss: 0.5909
Epoch [53/100], Step[98/526], Loss: 0.6837
Epoch [53/100], Step[99/526], Loss: 0.6894
Epoch [53/100], Step[100/526], Loss: 0.6596
Epoch [53/100], Step[101/526], Loss: 0.6588
Epoch [53/100], Step[102/526], Loss: 0.6283
Epoch [53/100], Step[103/526], Loss: 0.7037
Epoch [53/100], Step[104/526], Loss: 0.6455
Epoch [53/100], Step[105/526], Loss: 0.6320
Epoch [53/100], Step[106/526], Loss: 0.6871
Epoch [53/100], Step[107/526], Loss: 0.6332
Epoch [53/100], Step[108/526], Loss: 0.5789
Epoch [53/100], Step[109/526], Loss: 0.6718
Epoch [53/100], Step[110/526], Loss: 0.6860
Epoch [53/100], Step[111/526], Loss: 0.5901
Epoch [53/100], Step[112/526], Loss: 0.7307
Epoch [53/100], Step[113/526], Loss: 0.6067
Epoch [53/100], Step[114/526], Loss: 0.6615
Epoch [53/100], Step[115/526], Loss: 0.6021
Epoch [53/100], Step[116/526], Loss: 0.6274
Epoch [53/100], Step[117/526], Loss: 0.6745
Epoch [53/100], Step[118/526], Loss: 0.7524
Epoch [53/100], Step[119/526], Loss: 0.6831
Epoch [53/100], Step[120/526], Loss: 0.6781
Epoch [53/100], Step[121/526], Loss: 0.6882
Epoch [53/100], Step[122/526], Loss: 0.6285
Epoch [53/100], Step[123/526], Loss: 0.6465
Epoch [53/100], Step[124/526], Loss: 0.6673
Epoch [53/100], Step[125/526], Loss: 0.6364
Epoch [53/100], Step[126/526], Loss: 0.7180
Epoch [53/100], Step[127/526], Loss: 0.6665
Epoch [53/100], Step[128/526], Loss: 0.6437
Epoch [53/100], Step[129/526], Loss: 0.6042
Epoch [53/100], Step[130/526], Loss: 0.6174
Epoch [53/100], Step[131/526], Loss: 0.6724
Epoch [53/100], Step[132/526], Loss: 0.7238
Epoch [53/100], Step[133/526], Loss: 0.6723
Epoch [53/100], Step[134/526], Loss: 0.6356
Epoch [53/100], Step[135/526], Loss: 0.6468
Epoch [53/100], Step[136/526], Loss: 0.5689
Epoch [53/100], Step[137/526], Loss: 0.6403
Epoch [53/100], Step[138/526], Loss: 0.6483
Epoch [53/100], Step[139/526], Loss: 0.6946
Epoch [53/100], Step[140/526], Loss: 0.5985
Epoch [53/100], Step[141/526], Loss: 0.6756
Epoch [53/100], Step[142/526], Loss: 0.6663
Epoch [53/100], Step[143/526], Loss: 0.6875
Epoch [53/100], Step[144/526], Loss: 0.7833
Epoch [53/100], Step[145/526], Loss: 0.5453
Epoch [53/100], Step[146/526], Loss: 0.5161
Epoch [53/100], Step[147/526], Loss: 0.4675
Epoch [53/100], Step[148/526], Loss: 0.6073
Epoch [53/100], Step[149/526], Loss: 0.4981
Epoch [53/100], Step[150/526], Loss: 0.5517
Epoch [53/100], Step[151/526], Loss: 0.5500
Epoch [53/100], Step[152/526], Loss: 0.6227
Epoch [53/100], Step[153/526], Loss: 0.6350
Epoch [53/100], Step[154/526], Loss: 0.7103
Epoch [53/100], Step[155/526], Loss: 0.6962
Epoch [53/100], Step[156/526], Loss: 0.5424
Epoch [53/100], Step[157/526], Loss: 0.2743
Epoch [53/100], Step[158/526], Loss: 0.5832
Epoch [53/100], Step[159/526], Loss: 0.6753
Epoch [53/100], Step[160/526], Loss: 0.5420
Epoch [53/100], Step[161/526], Loss: 0.8814
Epoch [53/100], Step[162/526], Loss: 0.6977
Epoch [53/100], Step[163/526], Loss: 0.7209
Epoch [53/100], Step[164/526], Loss: 0.6167
Epoch [53/100], Step[165/526], Loss: 0.7033
Epoch [53/100], Step[166/526], Loss: 0.5063
Epoch [53/100], Step[167/526], Loss: 0.5720
Epoch [53/100], Step[168/526], Loss: 0.7063
Epoch [53/100], Step[169/526], Loss: 0.7638
Epoch [53/100], Step[170/526], Loss: 0.7032
Epoch [53/100], Step[171/526], Loss: 0.7342
Epoch [53/100], Step[172/526], Loss: 0.7046
Epoch [53/100], Step[173/526], Loss: 0.8267
Epoch [53/100], Step[174/526], Loss: 0.6130
Epoch [53/100], Step[175/526], Loss: 0.6625
Epoch [53/100], Step[176/526], Loss: 0.6199
Epoch [53/100], Step[177/526], Loss: 0.6641
Epoch [53/100], Step[178/526], Loss: 0.6847
Epoch [53/100], Step[179/526], Loss: 0.6283
Epoch [53/100], Step[180/526], Loss: 0.6748
Epoch [53/100], Step[181/526], Loss: 0.6423
Epoch [53/100], Step[182/526], Loss: 0.6798
Epoch [53/100], Step[183/526], Loss: 0.5332
Epoch [53/100], Step[184/526], Loss: 0.5964
Epoch [53/100], Step[185/526], Loss: 0.5939
Epoch [53/100], Step[186/526], Loss: 0.6611
Epoch [53/100], Step[187/526], Loss: 0.7303
Epoch [53/100], Step[188/526], Loss: 0.6923
Epoch [53/100], Step[189/526], Loss: 0.6729
Epoch [53/100], Step[190/526], Loss: 0.6488
Epoch [53/100], Step[191/526], Loss: 0.6990
Epoch [53/100], Step[192/526], Loss: 0.8040
Epoch [53/100], Step[193/526], Loss: 0.6558
Epoch [53/100], Step[194/526], Loss: 0.6145
Epoch [53/100], Step[195/526], Loss: 0.6479
Epoch [53/100], Step[196/526], Loss: 0.7295
Epoch [53/100], Step[197/526], Loss: 0.6812
Epoch [53/100], Step[198/526], Loss: 0.6342
Epoch [53/100], Step[199/526], Loss: 0.7369
Epoch [53/100], Step[200/526], Loss: 0.6800
Epoch [53/100], Step[201/526], Loss: 0.6729
Epoch [53/100], Step[202/526], Loss: 0.7390
Epoch [53/100], Step[203/526], Loss: 0.7062
Epoch [53/100], Step[204/526], Loss: 0.7166
Epoch [53/100], Step[205/526], Loss: 0.7003
Epoch [53/100], Step[206/526], Loss: 0.6833
Epoch [53/100], Step[207/526], Loss: 0.7108
Epoch [53/100], Step[208/526], Loss: 0.6800
Epoch [53/100], Step[209/526], Loss: 0.6810
Epoch [53/100], Step[210/526], Loss: 0.7660
Epoch [53/100], Step[211/526], Loss: 0.6276
Epoch [53/100], Step[212/526], Loss: 0.6866
Epoch [53/100], Step[213/526], Loss: 0.7226
Epoch [53/100], Step[214/526], Loss: 0.7466
Epoch [53/100], Step[215/526], Loss: 0.6952
Epoch [53/100], Step[216/526], Loss: 0.6767
Epoch [53/100], Step[217/526], Loss: 0.6750
Epoch [53/100], Step[218/526], Loss: 0.6973
Epoch [53/100], Step[219/526], Loss: 0.6909
Epoch [53/100], Step[220/526], Loss: 0.7261
Epoch [53/100], Step[221/526], Loss: 0.6965
Epoch [53/100], Step[222/526], Loss: 0.7413
Epoch [53/100], Step[223/526], Loss: 0.6788
Epoch [53/100], Step[224/526], Loss: 0.6808
Epoch [53/100], Step[225/526], Loss: 0.7221
Epoch [53/100], Step[226/526], Loss: 0.6732
Epoch [53/100], Step[227/526], Loss: 0.6653
Epoch [53/100], Step[228/526], Loss: 0.6592
Epoch [53/100], Step[229/526], Loss: 0.6846
Epoch [53/100], Step[230/526], Loss: 0.6606
Epoch [53/100], Step[231/526], Loss: 0.6662
Epoch [53/100], Step[232/526], Loss: 0.7108
Epoch [53/100], Step[233/526], Loss: 0.6834
Epoch [53/100], Step[234/526], Loss: 0.6772
Epoch [53/100], Step[235/526], Loss: 0.7021
Epoch [53/100], Step[236/526], Loss: 0.6950
Epoch [53/100], Step[237/526], Loss: 0.7170
Epoch [53/100], Step[238/526], Loss: 0.6801
Epoch [53/100], Step[239/526], Loss: 0.6672
Epoch [53/100], Step[240/526], Loss: 0.7274
Epoch [53/100], Step[241/526], Loss: 0.6932
Epoch [53/100], Step[242/526], Loss: 0.7092
Epoch [53/100], Step[243/526], Loss: 0.6233
Epoch [53/100], Step[244/526], Loss: 0.6523
Epoch [53/100], Step[245/526], Loss: 0.6420
Epoch [53/100], Step[246/526], Loss: 0.6658
Epoch [53/100], Step[247/526], Loss: 0.6205
Epoch [53/100], Step[248/526], Loss: 0.6550
Epoch [53/100], Step[249/526], Loss: 0.6661
Epoch [53/100], Step[250/526], Loss: 0.6811
Epoch [53/100], Step[251/526], Loss: 0.7033
Epoch [53/100], Step[252/526], Loss: 0.6950
Epoch [53/100], Step[253/526], Loss: 0.6320
Epoch [53/100], Step[254/526], Loss: 0.6674
Epoch [53/100], Step[255/526], Loss: 0.6007
Epoch [53/100], Step[256/526], Loss: 0.6895
Epoch [53/100], Step[257/526], Loss: 0.6633
Epoch [53/100], Step[258/526], Loss: 0.6269
Epoch [53/100], Step[259/526], Loss: 0.6832
Epoch [53/100], Step[260/526], Loss: 0.7470
Epoch [53/100], Step[261/526], Loss: 0.7539
Epoch [53/100], Step[262/526], Loss: 0.6752
Epoch [53/100], Step[263/526], Loss: 0.6636
Epoch [53/100], Step[264/526], Loss: 0.6487
Epoch [53/100], Step[265/526], Loss: 0.6268
Epoch [53/100], Step[266/526], Loss: 0.6302
Epoch [53/100], Step[267/526], Loss: 0.4953
Epoch [53/100], Step[268/526], Loss: 0.5416
Epoch [53/100], Step[269/526], Loss: 0.4510
Epoch [53/100], Step[270/526], Loss: 0.3776
Epoch [53/100], Step[271/526], Loss: 0.5072
Epoch [53/100], Step[272/526], Loss: 0.5286
Epoch [53/100], Step[273/526], Loss: 0.6351
Epoch [53/100], Step[274/526], Loss: 0.4250
Epoch [53/100], Step[275/526], Loss: 0.4168
Epoch [53/100], Step[276/526], Loss: 0.4663
Epoch [53/100], Step[277/526], Loss: 0.4200
Epoch [53/100], Step[278/526], Loss: 0.4515
Epoch [53/100], Step[279/526], Loss: 0.4043
Epoch [53/100], Step[280/526], Loss: 0.4433
Epoch [53/100], Step[281/526], Loss: 0.6294
Epoch [53/100], Step[282/526], Loss: 0.3545
Epoch [53/100], Step[283/526], Loss: 0.3641
Epoch [53/100], Step[284/526], Loss: 0.3993
Epoch [53/100], Step[285/526], Loss: 0.2721
Epoch [53/100], Step[286/526], Loss: 0.7005
Epoch [53/100], Step[287/526], Loss: 0.4802
Epoch [53/100], Step[288/526], Loss: 0.4324
Epoch [53/100], Step[289/526], Loss: 0.6185
Epoch [53/100], Step[290/526], Loss: 0.4231
Epoch [53/100], Step[291/526], Loss: 0.4821
Epoch [53/100], Step[292/526], Loss: 0.2544
Epoch [53/100], Step[293/526], Loss: 0.3052
Epoch [53/100], Step[294/526], Loss: 0.3152
Epoch [53/100], Step[295/526], Loss: 0.4226
Epoch [53/100], Step[296/526], Loss: 0.6265
Epoch [53/100], Step[297/526], Loss: 0.2943
Epoch [53/100], Step[298/526], Loss: 0.2822
Epoch [53/100], Step[299/526], Loss: 0.2350
Epoch [53/100], Step[300/526], Loss: 0.2828
Epoch [53/100], Step[301/526], Loss: 0.6225
Epoch [53/100], Step[302/526], Loss: 0.3225
Epoch [53/100], Step[303/526], Loss: 0.4710
Epoch [53/100], Step[304/526], Loss: 0.2588
Epoch [53/100], Step[305/526], Loss: 0.2585
Epoch [53/100], Step[306/526], Loss: 0.5838
Epoch [53/100], Step[307/526], Loss: 0.8930
Epoch [53/100], Step[308/526], Loss: 1.3245
Epoch [53/100], Step[309/526], Loss: 0.8235
Epoch [53/100], Step[310/526], Loss: 0.9600
Epoch [53/100], Step[311/526], Loss: 0.8223
Epoch [53/100], Step[312/526], Loss: 0.4911
Epoch [53/100], Step[313/526], Loss: 0.4860
Epoch [53/100], Step[314/526], Loss: 0.6562
Epoch [53/100], Step[315/526], Loss: 0.7044
Epoch [53/100], Step[316/526], Loss: 0.4922
Epoch [53/100], Step[317/526], Loss: 0.3244
Epoch [53/100], Step[318/526], Loss: 0.7737
Epoch [53/100], Step[319/526], Loss: 0.3574
Epoch [53/100], Step[320/526], Loss: 0.6259
Epoch [53/100], Step[321/526], Loss: 0.7018
Epoch [53/100], Step[322/526], Loss: 0.2703
Epoch [53/100], Step[323/526], Loss: 0.6169
Epoch [53/100], Step[324/526], Loss: 0.6547
Epoch [53/100], Step[325/526], Loss: 0.5912
Epoch [53/100], Step[326/526], Loss: 0.7514
Epoch [53/100], Step[327/526], Loss: 0.7287
Epoch [53/100], Step[328/526], Loss: 0.9309
Epoch [53/100], Step[329/526], Loss: 1.2759
Epoch [53/100], Step[330/526], Loss: 1.0404
Epoch [53/100], Step[331/526], Loss: 0.7809
Epoch [53/100], Step[332/526], Loss: 0.8239
Epoch [53/100], Step[333/526], Loss: 0.7688
Epoch [53/100], Step[334/526], Loss: 0.7664
Epoch [53/100], Step[335/526], Loss: 0.7780
Epoch [53/100], Step[336/526], Loss: 0.6941
Epoch [53/100], Step[337/526], Loss: 0.5926
Epoch [53/100], Step[338/526], Loss: 0.7038
Epoch [53/100], Step[339/526], Loss: 0.6393
Epoch [53/100], Step[340/526], Loss: 0.7195
Epoch [53/100], Step[341/526], Loss: 0.7638
Epoch [53/100], Step[342/526], Loss: 0.7784
Epoch [53/100], Step[343/526], Loss: 0.5398
Epoch [53/100], Step[344/526], Loss: 0.7276
Epoch [53/100], Step[345/526], Loss: 0.6525
Epoch [53/100], Step[346/526], Loss: 0.6686
Epoch [53/100], Step[347/526], Loss: 0.7111
Epoch [53/100], Step[348/526], Loss: 0.6300
Epoch [53/100], Step[349/526], Loss: 0.5791
Epoch [53/100], Step[350/526], Loss: 0.6710
Epoch [53/100], Step[351/526], Loss: 0.7140
Epoch [53/100], Step[352/526], Loss: 0.6111
Epoch [53/100], Step[353/526], Loss: 0.6842
Epoch [53/100], Step[354/526], Loss: 0.6694
Epoch [53/100], Step[355/526], Loss: 0.6716
Epoch [53/100], Step[356/526], Loss: 0.7021
Epoch [53/100], Step[357/526], Loss: 0.6606
Epoch [53/100], Step[358/526], Loss: 0.6984
Epoch [53/100], Step[359/526], Loss: 0.6532
Epoch [53/100], Step[360/526], Loss: 0.6803
Epoch [53/100], Step[361/526], Loss: 0.7223
Epoch [53/100], Step[362/526], Loss: 0.7062
Epoch [53/100], Step[363/526], Loss: 0.6927
Epoch [53/100], Step[364/526], Loss: 0.7145
Epoch [53/100], Step[365/526], Loss: 0.7145
Epoch [53/100], Step[366/526], Loss: 0.6870
Epoch [53/100], Step[367/526], Loss: 0.6919
Epoch [53/100], Step[368/526], Loss: 0.6501
Epoch [53/100], Step[369/526], Loss: 0.6590
Epoch [53/100], Step[370/526], Loss: 0.5817
Epoch [53/100], Step[371/526], Loss: 0.7345
Epoch [53/100], Step[372/526], Loss: 0.6408
Epoch [53/100], Step[373/526], Loss: 0.6785
Epoch [53/100], Step[374/526], Loss: 0.7059
Epoch [53/100], Step[375/526], Loss: 0.6497
Epoch [53/100], Step[376/526], Loss: 0.6593
Epoch [53/100], Step[377/526], Loss: 0.6915
Epoch [53/100], Step[378/526], Loss: 0.6898
Epoch [53/100], Step[379/526], Loss: 0.7463
Epoch [53/100], Step[380/526], Loss: 0.6130
Epoch [53/100], Step[381/526], Loss: 0.5977
Epoch [53/100], Step[382/526], Loss: 0.6747
Epoch [53/100], Step[383/526], Loss: 0.6979
Epoch [53/100], Step[384/526], Loss: 0.6152
Epoch [53/100], Step[385/526], Loss: 0.6449
Epoch [53/100], Step[386/526], Loss: 0.6694
Epoch [53/100], Step[387/526], Loss: 0.6729
Epoch [53/100], Step[388/526], Loss: 0.5884
Epoch [53/100], Step[389/526], Loss: 0.7181
Epoch [53/100], Step[390/526], Loss: 0.5853
Epoch [53/100], Step[391/526], Loss: 0.6553
Epoch [53/100], Step[392/526], Loss: 0.6979
Epoch [53/100], Step[393/526], Loss: 0.5860
Epoch [53/100], Step[394/526], Loss: 0.5110
Epoch [53/100], Step[395/526], Loss: 0.5960
Epoch [53/100], Step[396/526], Loss: 0.6293
Epoch [53/100], Step[397/526], Loss: 0.4634
Epoch [53/100], Step[398/526], Loss: 0.6012
Epoch [53/100], Step[399/526], Loss: 0.6523
Epoch [53/100], Step[400/526], Loss: 0.4682
Epoch [53/100], Step[401/526], Loss: 0.5984
Epoch [53/100], Step[402/526], Loss: 0.6353
Epoch [53/100], Step[403/526], Loss: 0.7515
Epoch [53/100], Step[404/526], Loss: 0.4777
Epoch [53/100], Step[405/526], Loss: 0.4999
Epoch [53/100], Step[406/526], Loss: 0.6314
Epoch [53/100], Step[407/526], Loss: 0.7556
Epoch [53/100], Step[408/526], Loss: 0.6508
Epoch [53/100], Step[409/526], Loss: 0.4691
Epoch [53/100], Step[410/526], Loss: 0.4855
Epoch [53/100], Step[411/526], Loss: 0.5324
Epoch [53/100], Step[412/526], Loss: 0.5917
Epoch [53/100], Step[413/526], Loss: 0.5949
Epoch [53/100], Step[414/526], Loss: 0.6414
Epoch [53/100], Step[415/526], Loss: 0.6067
Epoch [53/100], Step[416/526], Loss: 0.5439
Epoch [53/100], Step[417/526], Loss: 0.4542
Epoch [53/100], Step[418/526], Loss: 0.7429
Epoch [53/100], Step[419/526], Loss: 0.6886
Epoch [53/100], Step[420/526], Loss: 0.6820
Epoch [53/100], Step[421/526], Loss: 0.6425
Epoch [53/100], Step[422/526], Loss: 0.7745
Epoch [53/100], Step[423/526], Loss: 0.6993
Epoch [53/100], Step[424/526], Loss: 0.7405
Epoch [53/100], Step[425/526], Loss: 0.7034
Epoch [53/100], Step[426/526], Loss: 0.7585
Epoch [53/100], Step[427/526], Loss: 0.7083
Epoch [53/100], Step[428/526], Loss: 0.7148
Epoch [53/100], Step[429/526], Loss: 0.7236
Epoch [53/100], Step[430/526], Loss: 0.7888
Epoch [53/100], Step[431/526], Loss: 0.7046
Epoch [53/100], Step[432/526], Loss: 0.7284
Epoch [53/100], Step[433/526], Loss: 0.6718
Epoch [53/100], Step[434/526], Loss: 0.6111
Epoch [53/100], Step[435/526], Loss: 0.7801
Epoch [53/100], Step[436/526], Loss: 0.8058
Epoch [53/100], Step[437/526], Loss: 0.4828
Epoch [53/100], Step[438/526], Loss: 0.3603
Epoch [53/100], Step[439/526], Loss: 0.7225
Epoch [53/100], Step[440/526], Loss: 0.6856
Epoch [53/100], Step[441/526], Loss: 0.6926
Epoch [53/100], Step[442/526], Loss: 0.6417
Epoch [53/100], Step[443/526], Loss: 0.6707
Epoch [53/100], Step[444/526], Loss: 0.7518
Epoch [53/100], Step[445/526], Loss: 0.7047
Epoch [53/100], Step[446/526], Loss: 0.7127
Epoch [53/100], Step[447/526], Loss: 0.7170
Epoch [53/100], Step[448/526], Loss: 0.7182
Epoch [53/100], Step[449/526], Loss: 0.6714
Epoch [53/100], Step[450/526], Loss: 0.6050
Epoch [53/100], Step[451/526], Loss: 0.6638
Epoch [53/100], Step[452/526], Loss: 0.7229
Epoch [53/100], Step[453/526], Loss: 0.7074
Epoch [53/100], Step[454/526], Loss: 0.8309
Epoch [53/100], Step[455/526], Loss: 0.6600
Epoch [53/100], Step[456/526], Loss: 0.6335
Epoch [53/100], Step[457/526], Loss: 0.7093
Epoch [53/100], Step[458/526], Loss: 0.6696
Epoch [53/100], Step[459/526], Loss: 0.6602
Epoch [53/100], Step[460/526], Loss: 0.6450
Epoch [53/100], Step[461/526], Loss: 0.6139
Epoch [53/100], Step[462/526], Loss: 0.6724
Epoch [53/100], Step[463/526], Loss: 0.6521
Epoch [53/100], Step[464/526], Loss: 0.6399
Epoch [53/100], Step[465/526], Loss: 0.6613
Epoch [53/100], Step[466/526], Loss: 0.6706
Epoch [53/100], Step[467/526], Loss: 0.6476
Epoch [53/100], Step[468/526], Loss: 0.6153
Epoch [53/100], Step[469/526], Loss: 0.8047
Epoch [53/100], Step[470/526], Loss: 0.6582
Epoch [53/100], Step[471/526], Loss: 0.6877
Epoch [53/100], Step[472/526], Loss: 0.6735
Epoch [53/100], Step[473/526], Loss: 0.6777
Epoch [53/100], Step[474/526], Loss: 0.6778
Epoch [53/100], Step[475/526], Loss: 0.8400
Epoch [53/100], Step[476/526], Loss: 0.7412
Epoch [53/100], Step[477/526], Loss: 0.6959
Epoch [53/100], Step[478/526], Loss: 0.6801
Epoch [53/100], Step[479/526], Loss: 0.6584
Epoch [53/100], Step[480/526], Loss: 0.7333
Epoch [53/100], Step[481/526], Loss: 0.7329
Epoch [53/100], Step[482/526], Loss: 0.6211
Epoch [53/100], Step[483/526], Loss: 0.5411
Epoch [53/100], Step[484/526], Loss: 0.6915
Epoch [53/100], Step[485/526], Loss: 0.7461
Epoch [53/100], Step[486/526], Loss: 0.7267
Epoch [53/100], Step[487/526], Loss: 0.7341
Epoch [53/100], Step[488/526], Loss: 0.7066
Epoch [53/100], Step[489/526], Loss: 0.6417
Epoch [53/100], Step[490/526], Loss: 0.6142
Epoch [53/100], Step[491/526], Loss: 0.7026
Epoch [53/100], Step[492/526], Loss: 0.6277
Epoch [53/100], Step[493/526], Loss: 0.6421
Epoch [53/100], Step[494/526], Loss: 0.6637
Epoch [53/100], Step[495/526], Loss: 0.6869
Epoch [53/100], Step[496/526], Loss: 0.6648
Epoch [53/100], Step[497/526], Loss: 0.6367
Epoch [53/100], Step[498/526], Loss: 0.6731
Epoch [53/100], Step[499/526], Loss: 0.6697
Epoch [53/100], Step[500/526], Loss: 0.6911
Epoch [53/100], Step[501/526], Loss: 0.6562
Epoch [53/100], Step[502/526], Loss: 0.7001
Epoch [53/100], Step[503/526], Loss: 0.7143
Epoch [53/100], Step[504/526], Loss: 0.7005
Epoch [53/100], Step[505/526], Loss: 0.7105
Epoch [53/100], Step[506/526], Loss: 0.6729
Epoch [53/100], Step[507/526], Loss: 0.6717
Epoch [53/100], Step[508/526], Loss: 0.6971
Epoch [53/100], Step[509/526], Loss: 0.6473
Epoch [53/100], Step[510/526], Loss: 0.7056
Epoch [53/100], Step[511/526], Loss: 0.6457
Epoch [53/100], Step[512/526], Loss: 0.6721
Epoch [53/100], Step[513/526], Loss: 0.6384
Epoch [53/100], Step[514/526], Loss: 0.6546
Epoch [53/100], Step[515/526], Loss: 0.5645
Epoch [53/100], Step[516/526], Loss: 0.7531
Epoch [53/100], Step[517/526], Loss: 0.6868
Epoch [53/100], Step[518/526], Loss: 0.7280
Epoch [53/100], Step[519/526], Loss: 0.7145
Epoch [53/100], Step[520/526], Loss: 0.7232
Epoch [53/100], Step[521/526], Loss: 0.6733
Epoch [53/100], Step[522/526], Loss: 0.6057
Epoch [53/100], Step[523/526], Loss: 0.6546
Epoch [53/100], Step[524/526], Loss: 0.6364
Epoch [53/100], Step[525/526], Loss: 0.7458
Epoch [53/100], Step[526/526], Loss: 0.7237
Epoch [54/100], Step[1/526], Loss: 0.6589
Epoch [54/100], Step[2/526], Loss: 0.6410
Epoch [54/100], Step[3/526], Loss: 0.6811
Epoch [54/100], Step[4/526], Loss: 0.6289
Epoch [54/100], Step[5/526], Loss: 0.7394
Epoch [54/100], Step[6/526], Loss: 0.7668
Epoch [54/100], Step[7/526], Loss: 0.6890
Epoch [54/100], Step[8/526], Loss: 0.6809
Epoch [54/100], Step[9/526], Loss: 0.7037
Epoch [54/100], Step[10/526], Loss: 0.6574
Epoch [54/100], Step[11/526], Loss: 0.6943
Epoch [54/100], Step[12/526], Loss: 0.7392
Epoch [54/100], Step[13/526], Loss: 0.6154
Epoch [54/100], Step[14/526], Loss: 0.6490
Epoch [54/100], Step[15/526], Loss: 0.6869
Epoch [54/100], Step[16/526], Loss: 0.7035
Epoch [54/100], Step[17/526], Loss: 0.7121
Epoch [54/100], Step[18/526], Loss: 0.6615
Epoch [54/100], Step[19/526], Loss: 0.6696
Epoch [54/100], Step[20/526], Loss: 0.7268
Epoch [54/100], Step[21/526], Loss: 0.7528
Epoch [54/100], Step[22/526], Loss: 0.7325
Epoch [54/100], Step[23/526], Loss: 0.7360
Epoch [54/100], Step[24/526], Loss: 0.7144
Epoch [54/100], Step[25/526], Loss: 0.6923
Epoch [54/100], Step[26/526], Loss: 0.6232
Epoch [54/100], Step[27/526], Loss: 0.6784
Epoch [54/100], Step[28/526], Loss: 0.6886
Epoch [54/100], Step[29/526], Loss: 0.6490
Epoch [54/100], Step[30/526], Loss: 0.6887
Epoch [54/100], Step[31/526], Loss: 0.7064
Epoch [54/100], Step[32/526], Loss: 0.6675
Epoch [54/100], Step[33/526], Loss: 0.7127
Epoch [54/100], Step[34/526], Loss: 0.6969
Epoch [54/100], Step[35/526], Loss: 0.7118
Epoch [54/100], Step[36/526], Loss: 0.7073
Epoch [54/100], Step[37/526], Loss: 0.6901
Epoch [54/100], Step[38/526], Loss: 0.7103
Epoch [54/100], Step[39/526], Loss: 0.6891
Epoch [54/100], Step[40/526], Loss: 0.7137
Epoch [54/100], Step[41/526], Loss: 0.6648
Epoch [54/100], Step[42/526], Loss: 0.7269
Epoch [54/100], Step[43/526], Loss: 0.7173
Epoch [54/100], Step[44/526], Loss: 0.6876
Epoch [54/100], Step[45/526], Loss: 0.6937
Epoch [54/100], Step[46/526], Loss: 0.6908
Epoch [54/100], Step[47/526], Loss: 0.7022
Epoch [54/100], Step[48/526], Loss: 0.7217
Epoch [54/100], Step[49/526], Loss: 0.7004
Epoch [54/100], Step[50/526], Loss: 0.7089
Epoch [54/100], Step[51/526], Loss: 0.6942
Epoch [54/100], Step[52/526], Loss: 0.6795
Epoch [54/100], Step[53/526], Loss: 0.7167
Epoch [54/100], Step[54/526], Loss: 0.6996
Epoch [54/100], Step[55/526], Loss: 0.6947
Epoch [54/100], Step[56/526], Loss: 0.6942
Epoch [54/100], Step[57/526], Loss: 0.6849
Epoch [54/100], Step[58/526], Loss: 0.6731
Epoch [54/100], Step[59/526], Loss: 0.6541
Epoch [54/100], Step[60/526], Loss: 0.6697
Epoch [54/100], Step[61/526], Loss: 0.6531
Epoch [54/100], Step[62/526], Loss: 0.6981
Epoch [54/100], Step[63/526], Loss: 0.6896
Epoch [54/100], Step[64/526], Loss: 0.6805
Epoch [54/100], Step[65/526], Loss: 0.7200
Epoch [54/100], Step[66/526], Loss: 0.6842
Epoch [54/100], Step[67/526], Loss: 0.6547
Epoch [54/100], Step[68/526], Loss: 0.6502
Epoch [54/100], Step[69/526], Loss: 0.6949
Epoch [54/100], Step[70/526], Loss: 0.6831
Epoch [54/100], Step[71/526], Loss: 0.6707
Epoch [54/100], Step[72/526], Loss: 0.6835
Epoch [54/100], Step[73/526], Loss: 0.7129
Epoch [54/100], Step[74/526], Loss: 0.6590
Epoch [54/100], Step[75/526], Loss: 0.7047
Epoch [54/100], Step[76/526], Loss: 0.6892
Epoch [54/100], Step[77/526], Loss: 0.6973
Epoch [54/100], Step[78/526], Loss: 0.7090
Epoch [54/100], Step[79/526], Loss: 0.6919
Epoch [54/100], Step[80/526], Loss: 0.6888
Epoch [54/100], Step[81/526], Loss: 0.7023
Epoch [54/100], Step[82/526], Loss: 0.7249
Epoch [54/100], Step[83/526], Loss: 0.7063
Epoch [54/100], Step[84/526], Loss: 0.6954
Epoch [54/100], Step[85/526], Loss: 0.6620
Epoch [54/100], Step[86/526], Loss: 0.6973
Epoch [54/100], Step[87/526], Loss: 0.6891
Epoch [54/100], Step[88/526], Loss: 0.6905
Epoch [54/100], Step[89/526], Loss: 0.7204
Epoch [54/100], Step[90/526], Loss: 0.6831
Epoch [54/100], Step[91/526], Loss: 0.6845
Epoch [54/100], Step[92/526], Loss: 0.6802
Epoch [54/100], Step[93/526], Loss: 0.6884
Epoch [54/100], Step[94/526], Loss: 0.7961
Epoch [54/100], Step[95/526], Loss: 0.7153
Epoch [54/100], Step[96/526], Loss: 0.6224
Epoch [54/100], Step[97/526], Loss: 0.5912
Epoch [54/100], Step[98/526], Loss: 0.6818
Epoch [54/100], Step[99/526], Loss: 0.6887
Epoch [54/100], Step[100/526], Loss: 0.6627
Epoch [54/100], Step[101/526], Loss: 0.6582
Epoch [54/100], Step[102/526], Loss: 0.6348
Epoch [54/100], Step[103/526], Loss: 0.7112
Epoch [54/100], Step[104/526], Loss: 0.6544
Epoch [54/100], Step[105/526], Loss: 0.6334
Epoch [54/100], Step[106/526], Loss: 0.6873
Epoch [54/100], Step[107/526], Loss: 0.6335
Epoch [54/100], Step[108/526], Loss: 0.5773
Epoch [54/100], Step[109/526], Loss: 0.6660
Epoch [54/100], Step[110/526], Loss: 0.6830
Epoch [54/100], Step[111/526], Loss: 0.5954
Epoch [54/100], Step[112/526], Loss: 0.7323
Epoch [54/100], Step[113/526], Loss: 0.6063
Epoch [54/100], Step[114/526], Loss: 0.6609
Epoch [54/100], Step[115/526], Loss: 0.5979
Epoch [54/100], Step[116/526], Loss: 0.6275
Epoch [54/100], Step[117/526], Loss: 0.6667
Epoch [54/100], Step[118/526], Loss: 0.7586
Epoch [54/100], Step[119/526], Loss: 0.6787
Epoch [54/100], Step[120/526], Loss: 0.6816
Epoch [54/100], Step[121/526], Loss: 0.6881
Epoch [54/100], Step[122/526], Loss: 0.6257
Epoch [54/100], Step[123/526], Loss: 0.6473
Epoch [54/100], Step[124/526], Loss: 0.6707
Epoch [54/100], Step[125/526], Loss: 0.6327
Epoch [54/100], Step[126/526], Loss: 0.7231
Epoch [54/100], Step[127/526], Loss: 0.6746
Epoch [54/100], Step[128/526], Loss: 0.6435
Epoch [54/100], Step[129/526], Loss: 0.6016
Epoch [54/100], Step[130/526], Loss: 0.6166
Epoch [54/100], Step[131/526], Loss: 0.6677
Epoch [54/100], Step[132/526], Loss: 0.7151
Epoch [54/100], Step[133/526], Loss: 0.6728
Epoch [54/100], Step[134/526], Loss: 0.6292
Epoch [54/100], Step[135/526], Loss: 0.6432
Epoch [54/100], Step[136/526], Loss: 0.5674
Epoch [54/100], Step[137/526], Loss: 0.6430
Epoch [54/100], Step[138/526], Loss: 0.6496
Epoch [54/100], Step[139/526], Loss: 0.6978
Epoch [54/100], Step[140/526], Loss: 0.5969
Epoch [54/100], Step[141/526], Loss: 0.6763
Epoch [54/100], Step[142/526], Loss: 0.6644
Epoch [54/100], Step[143/526], Loss: 0.6869
Epoch [54/100], Step[144/526], Loss: 0.7752
Epoch [54/100], Step[145/526], Loss: 0.5474
Epoch [54/100], Step[146/526], Loss: 0.5135
Epoch [54/100], Step[147/526], Loss: 0.4596
Epoch [54/100], Step[148/526], Loss: 0.5981
Epoch [54/100], Step[149/526], Loss: 0.4958
Epoch [54/100], Step[150/526], Loss: 0.5574
Epoch [54/100], Step[151/526], Loss: 0.5487
Epoch [54/100], Step[152/526], Loss: 0.6193
Epoch [54/100], Step[153/526], Loss: 0.6341
Epoch [54/100], Step[154/526], Loss: 0.7111
Epoch [54/100], Step[155/526], Loss: 0.7148
Epoch [54/100], Step[156/526], Loss: 0.5388
Epoch [54/100], Step[157/526], Loss: 0.2655
Epoch [54/100], Step[158/526], Loss: 0.5910
Epoch [54/100], Step[159/526], Loss: 0.6686
Epoch [54/100], Step[160/526], Loss: 0.5481
Epoch [54/100], Step[161/526], Loss: 0.8980
Epoch [54/100], Step[162/526], Loss: 0.7026
Epoch [54/100], Step[163/526], Loss: 0.7112
Epoch [54/100], Step[164/526], Loss: 0.6170
Epoch [54/100], Step[165/526], Loss: 0.7069
Epoch [54/100], Step[166/526], Loss: 0.5069
Epoch [54/100], Step[167/526], Loss: 0.5562
Epoch [54/100], Step[168/526], Loss: 0.6954
Epoch [54/100], Step[169/526], Loss: 0.7544
Epoch [54/100], Step[170/526], Loss: 0.7049
Epoch [54/100], Step[171/526], Loss: 0.7353
Epoch [54/100], Step[172/526], Loss: 0.7029
Epoch [54/100], Step[173/526], Loss: 0.8181
Epoch [54/100], Step[174/526], Loss: 0.6165
Epoch [54/100], Step[175/526], Loss: 0.6645
Epoch [54/100], Step[176/526], Loss: 0.6239
Epoch [54/100], Step[177/526], Loss: 0.6609
Epoch [54/100], Step[178/526], Loss: 0.6853
Epoch [54/100], Step[179/526], Loss: 0.6251
Epoch [54/100], Step[180/526], Loss: 0.6728
Epoch [54/100], Step[181/526], Loss: 0.6428
Epoch [54/100], Step[182/526], Loss: 0.6757
Epoch [54/100], Step[183/526], Loss: 0.5351
Epoch [54/100], Step[184/526], Loss: 0.5942
Epoch [54/100], Step[185/526], Loss: 0.5941
Epoch [54/100], Step[186/526], Loss: 0.6609
Epoch [54/100], Step[187/526], Loss: 0.7378
Epoch [54/100], Step[188/526], Loss: 0.6956
Epoch [54/100], Step[189/526], Loss: 0.6725
Epoch [54/100], Step[190/526], Loss: 0.6554
Epoch [54/100], Step[191/526], Loss: 0.6985
Epoch [54/100], Step[192/526], Loss: 0.8252
Epoch [54/100], Step[193/526], Loss: 0.6527
Epoch [54/100], Step[194/526], Loss: 0.6147
Epoch [54/100], Step[195/526], Loss: 0.6471
Epoch [54/100], Step[196/526], Loss: 0.7289
Epoch [54/100], Step[197/526], Loss: 0.6823
Epoch [54/100], Step[198/526], Loss: 0.6367
Epoch [54/100], Step[199/526], Loss: 0.7337
Epoch [54/100], Step[200/526], Loss: 0.6759
Epoch [54/100], Step[201/526], Loss: 0.6723
Epoch [54/100], Step[202/526], Loss: 0.7704
Epoch [54/100], Step[203/526], Loss: 0.7171
Epoch [54/100], Step[204/526], Loss: 0.7317
Epoch [54/100], Step[205/526], Loss: 0.6970
Epoch [54/100], Step[206/526], Loss: 0.6841
Epoch [54/100], Step[207/526], Loss: 0.7111
Epoch [54/100], Step[208/526], Loss: 0.6806
Epoch [54/100], Step[209/526], Loss: 0.6815
Epoch [54/100], Step[210/526], Loss: 0.7462
Epoch [54/100], Step[211/526], Loss: 0.6269
Epoch [54/100], Step[212/526], Loss: 0.6872
Epoch [54/100], Step[213/526], Loss: 0.7229
Epoch [54/100], Step[214/526], Loss: 0.7393
Epoch [54/100], Step[215/526], Loss: 0.6964
Epoch [54/100], Step[216/526], Loss: 0.6774
Epoch [54/100], Step[217/526], Loss: 0.6769
Epoch [54/100], Step[218/526], Loss: 0.6954
Epoch [54/100], Step[219/526], Loss: 0.6879
Epoch [54/100], Step[220/526], Loss: 0.7160
Epoch [54/100], Step[221/526], Loss: 0.6977
Epoch [54/100], Step[222/526], Loss: 0.7243
Epoch [54/100], Step[223/526], Loss: 0.6805
Epoch [54/100], Step[224/526], Loss: 0.6822
Epoch [54/100], Step[225/526], Loss: 0.7134
Epoch [54/100], Step[226/526], Loss: 0.6713
Epoch [54/100], Step[227/526], Loss: 0.6638
Epoch [54/100], Step[228/526], Loss: 0.6601
Epoch [54/100], Step[229/526], Loss: 0.6858
Epoch [54/100], Step[230/526], Loss: 0.6620
Epoch [54/100], Step[231/526], Loss: 0.6676
Epoch [54/100], Step[232/526], Loss: 0.7111
Epoch [54/100], Step[233/526], Loss: 0.6825
Epoch [54/100], Step[234/526], Loss: 0.6763
Epoch [54/100], Step[235/526], Loss: 0.7003
Epoch [54/100], Step[236/526], Loss: 0.6943
Epoch [54/100], Step[237/526], Loss: 0.7162
Epoch [54/100], Step[238/526], Loss: 0.6806
Epoch [54/100], Step[239/526], Loss: 0.6673
Epoch [54/100], Step[240/526], Loss: 0.7282
Epoch [54/100], Step[241/526], Loss: 0.6942
Epoch [54/100], Step[242/526], Loss: 0.7086
Epoch [54/100], Step[243/526], Loss: 0.6228
Epoch [54/100], Step[244/526], Loss: 0.6517
Epoch [54/100], Step[245/526], Loss: 0.6416
Epoch [54/100], Step[246/526], Loss: 0.6647
Epoch [54/100], Step[247/526], Loss: 0.6206
Epoch [54/100], Step[248/526], Loss: 0.6576
Epoch [54/100], Step[249/526], Loss: 0.6672
Epoch [54/100], Step[250/526], Loss: 0.6826
Epoch [54/100], Step[251/526], Loss: 0.7053
Epoch [54/100], Step[252/526], Loss: 0.6945
Epoch [54/100], Step[253/526], Loss: 0.6322
Epoch [54/100], Step[254/526], Loss: 0.6664
Epoch [54/100], Step[255/526], Loss: 0.6019
Epoch [54/100], Step[256/526], Loss: 0.6892
Epoch [54/100], Step[257/526], Loss: 0.6663
Epoch [54/100], Step[258/526], Loss: 0.6276
Epoch [54/100], Step[259/526], Loss: 0.6837
Epoch [54/100], Step[260/526], Loss: 0.7468
Epoch [54/100], Step[261/526], Loss: 0.7485
Epoch [54/100], Step[262/526], Loss: 0.6772
Epoch [54/100], Step[263/526], Loss: 0.6647
Epoch [54/100], Step[264/526], Loss: 0.6468
Epoch [54/100], Step[265/526], Loss: 0.6280
Epoch [54/100], Step[266/526], Loss: 0.6327
Epoch [54/100], Step[267/526], Loss: 0.4865
Epoch [54/100], Step[268/526], Loss: 0.5414
Epoch [54/100], Step[269/526], Loss: 0.4510
Epoch [54/100], Step[270/526], Loss: 0.3772
Epoch [54/100], Step[271/526], Loss: 0.5066
Epoch [54/100], Step[272/526], Loss: 0.5283
Epoch [54/100], Step[273/526], Loss: 0.6360
Epoch [54/100], Step[274/526], Loss: 0.4245
Epoch [54/100], Step[275/526], Loss: 0.4094
Epoch [54/100], Step[276/526], Loss: 0.4662
Epoch [54/100], Step[277/526], Loss: 0.4200
Epoch [54/100], Step[278/526], Loss: 0.4522
Epoch [54/100], Step[279/526], Loss: 0.4052
Epoch [54/100], Step[280/526], Loss: 0.4423
Epoch [54/100], Step[281/526], Loss: 0.6283
Epoch [54/100], Step[282/526], Loss: 0.3540
Epoch [54/100], Step[283/526], Loss: 0.3666
Epoch [54/100], Step[284/526], Loss: 0.4004
Epoch [54/100], Step[285/526], Loss: 0.2721
Epoch [54/100], Step[286/526], Loss: 0.7032
Epoch [54/100], Step[287/526], Loss: 0.4790
Epoch [54/100], Step[288/526], Loss: 0.4326
Epoch [54/100], Step[289/526], Loss: 0.6184
Epoch [54/100], Step[290/526], Loss: 0.4228
Epoch [54/100], Step[291/526], Loss: 0.4825
Epoch [54/100], Step[292/526], Loss: 0.2580
Epoch [54/100], Step[293/526], Loss: 0.3049
Epoch [54/100], Step[294/526], Loss: 0.3175
Epoch [54/100], Step[295/526], Loss: 0.4228
Epoch [54/100], Step[296/526], Loss: 0.6244
Epoch [54/100], Step[297/526], Loss: 0.2992
Epoch [54/100], Step[298/526], Loss: 0.2809
Epoch [54/100], Step[299/526], Loss: 0.2356
Epoch [54/100], Step[300/526], Loss: 0.2811
Epoch [54/100], Step[301/526], Loss: 0.6234
Epoch [54/100], Step[302/526], Loss: 0.3240
Epoch [54/100], Step[303/526], Loss: 0.4725
Epoch [54/100], Step[304/526], Loss: 0.2582
Epoch [54/100], Step[305/526], Loss: 0.2554
Epoch [54/100], Step[306/526], Loss: 0.5836
Epoch [54/100], Step[307/526], Loss: 0.8935
Epoch [54/100], Step[308/526], Loss: 1.3253
Epoch [54/100], Step[309/526], Loss: 0.8810
Epoch [54/100], Step[310/526], Loss: 0.9516
Epoch [54/100], Step[311/526], Loss: 0.8328
Epoch [54/100], Step[312/526], Loss: 0.4879
Epoch [54/100], Step[313/526], Loss: 0.4866
Epoch [54/100], Step[314/526], Loss: 0.6536
Epoch [54/100], Step[315/526], Loss: 0.7065
Epoch [54/100], Step[316/526], Loss: 0.4920
Epoch [54/100], Step[317/526], Loss: 0.3236
Epoch [54/100], Step[318/526], Loss: 0.7723
Epoch [54/100], Step[319/526], Loss: 0.3590
Epoch [54/100], Step[320/526], Loss: 0.6262
Epoch [54/100], Step[321/526], Loss: 0.7044
Epoch [54/100], Step[322/526], Loss: 0.2721
Epoch [54/100], Step[323/526], Loss: 0.6166
Epoch [54/100], Step[324/526], Loss: 0.6535
Epoch [54/100], Step[325/526], Loss: 0.5927
Epoch [54/100], Step[326/526], Loss: 0.7496
Epoch [54/100], Step[327/526], Loss: 0.7278
Epoch [54/100], Step[328/526], Loss: 0.9294
Epoch [54/100], Step[329/526], Loss: 1.2719
Epoch [54/100], Step[330/526], Loss: 1.0394
Epoch [54/100], Step[331/526], Loss: 0.7804
Epoch [54/100], Step[332/526], Loss: 0.8215
Epoch [54/100], Step[333/526], Loss: 0.7663
Epoch [54/100], Step[334/526], Loss: 0.7643
Epoch [54/100], Step[335/526], Loss: 0.7774
Epoch [54/100], Step[336/526], Loss: 0.6935
Epoch [54/100], Step[337/526], Loss: 0.5942
Epoch [54/100], Step[338/526], Loss: 0.7032
Epoch [54/100], Step[339/526], Loss: 0.6393
Epoch [54/100], Step[340/526], Loss: 0.7205
Epoch [54/100], Step[341/526], Loss: 0.7669
Epoch [54/100], Step[342/526], Loss: 0.7779
Epoch [54/100], Step[343/526], Loss: 0.5389
Epoch [54/100], Step[344/526], Loss: 0.7287
Epoch [54/100], Step[345/526], Loss: 0.6529
Epoch [54/100], Step[346/526], Loss: 0.6668
Epoch [54/100], Step[347/526], Loss: 0.7125
Epoch [54/100], Step[348/526], Loss: 0.6289
Epoch [54/100], Step[349/526], Loss: 0.5782
Epoch [54/100], Step[350/526], Loss: 0.6710
Epoch [54/100], Step[351/526], Loss: 0.7133
Epoch [54/100], Step[352/526], Loss: 0.6045
Epoch [54/100], Step[353/526], Loss: 0.6839
Epoch [54/100], Step[354/526], Loss: 0.6693
Epoch [54/100], Step[355/526], Loss: 0.6709
Epoch [54/100], Step[356/526], Loss: 0.7014
Epoch [54/100], Step[357/526], Loss: 0.6600
Epoch [54/100], Step[358/526], Loss: 0.6994
Epoch [54/100], Step[359/526], Loss: 0.6644
Epoch [54/100], Step[360/526], Loss: 0.6809
Epoch [54/100], Step[361/526], Loss: 0.7230
Epoch [54/100], Step[362/526], Loss: 0.7048
Epoch [54/100], Step[363/526], Loss: 0.6935
Epoch [54/100], Step[364/526], Loss: 0.7152
Epoch [54/100], Step[365/526], Loss: 0.7136
Epoch [54/100], Step[366/526], Loss: 0.6849
Epoch [54/100], Step[367/526], Loss: 0.6920
Epoch [54/100], Step[368/526], Loss: 0.6504
Epoch [54/100], Step[369/526], Loss: 0.6606
Epoch [54/100], Step[370/526], Loss: 0.6312
Epoch [54/100], Step[371/526], Loss: 0.7324
Epoch [54/100], Step[372/526], Loss: 0.6415
Epoch [54/100], Step[373/526], Loss: 0.6791
Epoch [54/100], Step[374/526], Loss: 0.7090
Epoch [54/100], Step[375/526], Loss: 0.6488
Epoch [54/100], Step[376/526], Loss: 0.6659
Epoch [54/100], Step[377/526], Loss: 0.6930
Epoch [54/100], Step[378/526], Loss: 0.6903
Epoch [54/100], Step[379/526], Loss: 0.7482
Epoch [54/100], Step[380/526], Loss: 0.6125
Epoch [54/100], Step[381/526], Loss: 0.5982
Epoch [54/100], Step[382/526], Loss: 0.6754
Epoch [54/100], Step[383/526], Loss: 0.6972
Epoch [54/100], Step[384/526], Loss: 0.6337
Epoch [54/100], Step[385/526], Loss: 0.6262
Epoch [54/100], Step[386/526], Loss: 0.6705
Epoch [54/100], Step[387/526], Loss: 0.6565
Epoch [54/100], Step[388/526], Loss: 0.5984
Epoch [54/100], Step[389/526], Loss: 0.7246
Epoch [54/100], Step[390/526], Loss: 0.5811
Epoch [54/100], Step[391/526], Loss: 0.6550
Epoch [54/100], Step[392/526], Loss: 0.6996
Epoch [54/100], Step[393/526], Loss: 0.5862
Epoch [54/100], Step[394/526], Loss: 0.5133
Epoch [54/100], Step[395/526], Loss: 0.6143
Epoch [54/100], Step[396/526], Loss: 0.6305
Epoch [54/100], Step[397/526], Loss: 0.4682
Epoch [54/100], Step[398/526], Loss: 0.6052
Epoch [54/100], Step[399/526], Loss: 0.6541
Epoch [54/100], Step[400/526], Loss: 0.4730
Epoch [54/100], Step[401/526], Loss: 0.5967
Epoch [54/100], Step[402/526], Loss: 0.6403
Epoch [54/100], Step[403/526], Loss: 0.7656
Epoch [54/100], Step[404/526], Loss: 0.4793
Epoch [54/100], Step[405/526], Loss: 0.5040
Epoch [54/100], Step[406/526], Loss: 0.6301
Epoch [54/100], Step[407/526], Loss: 0.7592
Epoch [54/100], Step[408/526], Loss: 0.6543
Epoch [54/100], Step[409/526], Loss: 0.4704
Epoch [54/100], Step[410/526], Loss: 0.4921
Epoch [54/100], Step[411/526], Loss: 0.5358
Epoch [54/100], Step[412/526], Loss: 0.5955
Epoch [54/100], Step[413/526], Loss: 0.6017
Epoch [54/100], Step[414/526], Loss: 0.6424
Epoch [54/100], Step[415/526], Loss: 0.6068
Epoch [54/100], Step[416/526], Loss: 0.5461
Epoch [54/100], Step[417/526], Loss: 0.4548
Epoch [54/100], Step[418/526], Loss: 0.7392
Epoch [54/100], Step[419/526], Loss: 0.6871
Epoch [54/100], Step[420/526], Loss: 0.6814
Epoch [54/100], Step[421/526], Loss: 0.6446
Epoch [54/100], Step[422/526], Loss: 0.7677
Epoch [54/100], Step[423/526], Loss: 0.6989
Epoch [54/100], Step[424/526], Loss: 0.7410
Epoch [54/100], Step[425/526], Loss: 0.7012
Epoch [54/100], Step[426/526], Loss: 0.7577
Epoch [54/100], Step[427/526], Loss: 0.7074
Epoch [54/100], Step[428/526], Loss: 0.7139
Epoch [54/100], Step[429/526], Loss: 0.7309
Epoch [54/100], Step[430/526], Loss: 0.7863
Epoch [54/100], Step[431/526], Loss: 0.7040
Epoch [54/100], Step[432/526], Loss: 0.7285
Epoch [54/100], Step[433/526], Loss: 0.6720
Epoch [54/100], Step[434/526], Loss: 0.6101
Epoch [54/100], Step[435/526], Loss: 0.7786
Epoch [54/100], Step[436/526], Loss: 0.8102
Epoch [54/100], Step[437/526], Loss: 0.4897
Epoch [54/100], Step[438/526], Loss: 0.3594
Epoch [54/100], Step[439/526], Loss: 0.7225
Epoch [54/100], Step[440/526], Loss: 0.6858
Epoch [54/100], Step[441/526], Loss: 0.6901
Epoch [54/100], Step[442/526], Loss: 0.6417
Epoch [54/100], Step[443/526], Loss: 0.6707
Epoch [54/100], Step[444/526], Loss: 0.7517
Epoch [54/100], Step[445/526], Loss: 0.7041
Epoch [54/100], Step[446/526], Loss: 0.7114
Epoch [54/100], Step[447/526], Loss: 0.7168
Epoch [54/100], Step[448/526], Loss: 0.7189
Epoch [54/100], Step[449/526], Loss: 0.6705
Epoch [54/100], Step[450/526], Loss: 0.6030
Epoch [54/100], Step[451/526], Loss: 0.6645
Epoch [54/100], Step[452/526], Loss: 0.7229
Epoch [54/100], Step[453/526], Loss: 0.7047
Epoch [54/100], Step[454/526], Loss: 0.8348
Epoch [54/100], Step[455/526], Loss: 0.6562
Epoch [54/100], Step[456/526], Loss: 0.6354
Epoch [54/100], Step[457/526], Loss: 0.7178
Epoch [54/100], Step[458/526], Loss: 0.6743
Epoch [54/100], Step[459/526], Loss: 0.6570
Epoch [54/100], Step[460/526], Loss: 0.6427
Epoch [54/100], Step[461/526], Loss: 0.6134
Epoch [54/100], Step[462/526], Loss: 0.6667
Epoch [54/100], Step[463/526], Loss: 0.6531
Epoch [54/100], Step[464/526], Loss: 0.6483
Epoch [54/100], Step[465/526], Loss: 0.6556
Epoch [54/100], Step[466/526], Loss: 0.6784
Epoch [54/100], Step[467/526], Loss: 0.6319
Epoch [54/100], Step[468/526], Loss: 0.6185
Epoch [54/100], Step[469/526], Loss: 0.8148
Epoch [54/100], Step[470/526], Loss: 0.6574
Epoch [54/100], Step[471/526], Loss: 0.6849
Epoch [54/100], Step[472/526], Loss: 0.6751
Epoch [54/100], Step[473/526], Loss: 0.6758
Epoch [54/100], Step[474/526], Loss: 0.6770
Epoch [54/100], Step[475/526], Loss: 0.8405
Epoch [54/100], Step[476/526], Loss: 0.7432
Epoch [54/100], Step[477/526], Loss: 0.7038
Epoch [54/100], Step[478/526], Loss: 0.6903
Epoch [54/100], Step[479/526], Loss: 0.6575
Epoch [54/100], Step[480/526], Loss: 0.7322
Epoch [54/100], Step[481/526], Loss: 0.7346
Epoch [54/100], Step[482/526], Loss: 0.6246
Epoch [54/100], Step[483/526], Loss: 0.5426
Epoch [54/100], Step[484/526], Loss: 0.6994
Epoch [54/100], Step[485/526], Loss: 0.7783
Epoch [54/100], Step[486/526], Loss: 0.7264
Epoch [54/100], Step[487/526], Loss: 0.7569
Epoch [54/100], Step[488/526], Loss: 0.6837
Epoch [54/100], Step[489/526], Loss: 0.6235
Epoch [54/100], Step[490/526], Loss: 0.6148
Epoch [54/100], Step[491/526], Loss: 0.6990
Epoch [54/100], Step[492/526], Loss: 0.6483
Epoch [54/100], Step[493/526], Loss: 0.6417
Epoch [54/100], Step[494/526], Loss: 0.6629
Epoch [54/100], Step[495/526], Loss: 0.6872
Epoch [54/100], Step[496/526], Loss: 0.6642
Epoch [54/100], Step[497/526], Loss: 0.6367
Epoch [54/100], Step[498/526], Loss: 0.6729
Epoch [54/100], Step[499/526], Loss: 0.6700
Epoch [54/100], Step[500/526], Loss: 0.6893
Epoch [54/100], Step[501/526], Loss: 0.6573
Epoch [54/100], Step[502/526], Loss: 0.6978
Epoch [54/100], Step[503/526], Loss: 0.7136
Epoch [54/100], Step[504/526], Loss: 0.7013
Epoch [54/100], Step[505/526], Loss: 0.7099
Epoch [54/100], Step[506/526], Loss: 0.6789
Epoch [54/100], Step[507/526], Loss: 0.6711
Epoch [54/100], Step[508/526], Loss: 0.6993
Epoch [54/100], Step[509/526], Loss: 0.6507
Epoch [54/100], Step[510/526], Loss: 0.7020
Epoch [54/100], Step[511/526], Loss: 0.6432
Epoch [54/100], Step[512/526], Loss: 0.6735
Epoch [54/100], Step[513/526], Loss: 0.6468
Epoch [54/100], Step[514/526], Loss: 0.6545
Epoch [54/100], Step[515/526], Loss: 0.5708
Epoch [54/100], Step[516/526], Loss: 0.7517
Epoch [54/100], Step[517/526], Loss: 0.6882
Epoch [54/100], Step[518/526], Loss: 0.7306
Epoch [54/100], Step[519/526], Loss: 0.7144
Epoch [54/100], Step[520/526], Loss: 0.6770
Epoch [54/100], Step[521/526], Loss: 0.6687
Epoch [54/100], Step[522/526], Loss: 0.6046
Epoch [54/100], Step[523/526], Loss: 0.6478
Epoch [54/100], Step[524/526], Loss: 0.6319
Epoch [54/100], Step[525/526], Loss: 0.7464
Epoch [54/100], Step[526/526], Loss: 0.7161
Epoch [55/100], Step[1/526], Loss: 0.6537
Epoch [55/100], Step[2/526], Loss: 0.6414
Epoch [55/100], Step[3/526], Loss: 0.6806
Epoch [55/100], Step[4/526], Loss: 0.6320
Epoch [55/100], Step[5/526], Loss: 0.7399
Epoch [55/100], Step[6/526], Loss: 0.7561
Epoch [55/100], Step[7/526], Loss: 0.6918
Epoch [55/100], Step[8/526], Loss: 0.6805
Epoch [55/100], Step[9/526], Loss: 0.7025
Epoch [55/100], Step[10/526], Loss: 0.6613
Epoch [55/100], Step[11/526], Loss: 0.7009
Epoch [55/100], Step[12/526], Loss: 0.7425
Epoch [55/100], Step[13/526], Loss: 0.6096
Epoch [55/100], Step[14/526], Loss: 0.6376
Epoch [55/100], Step[15/526], Loss: 0.6877
Epoch [55/100], Step[16/526], Loss: 0.7016
Epoch [55/100], Step[17/526], Loss: 0.7104
Epoch [55/100], Step[18/526], Loss: 0.6575
Epoch [55/100], Step[19/526], Loss: 0.6664
Epoch [55/100], Step[20/526], Loss: 0.7317
Epoch [55/100], Step[21/526], Loss: 0.7757
Epoch [55/100], Step[22/526], Loss: 0.7334
Epoch [55/100], Step[23/526], Loss: 0.7323
Epoch [55/100], Step[24/526], Loss: 0.7180
Epoch [55/100], Step[25/526], Loss: 0.7009
Epoch [55/100], Step[26/526], Loss: 0.6056
Epoch [55/100], Step[27/526], Loss: 0.6728
Epoch [55/100], Step[28/526], Loss: 0.6877
Epoch [55/100], Step[29/526], Loss: 0.6465
Epoch [55/100], Step[30/526], Loss: 0.6911
Epoch [55/100], Step[31/526], Loss: 0.6998
Epoch [55/100], Step[32/526], Loss: 0.6703
Epoch [55/100], Step[33/526], Loss: 0.6964
Epoch [55/100], Step[34/526], Loss: 0.6855
Epoch [55/100], Step[35/526], Loss: 0.6747
Epoch [55/100], Step[36/526], Loss: 0.6730
Epoch [55/100], Step[37/526], Loss: 0.6969
Epoch [55/100], Step[38/526], Loss: 0.7054
Epoch [55/100], Step[39/526], Loss: 0.7190
Epoch [55/100], Step[40/526], Loss: 0.6945
Epoch [55/100], Step[41/526], Loss: 0.7733
Epoch [55/100], Step[42/526], Loss: 0.6968
Epoch [55/100], Step[43/526], Loss: 0.7656
Epoch [55/100], Step[44/526], Loss: 0.6737
Epoch [55/100], Step[45/526], Loss: 0.6847
Epoch [55/100], Step[46/526], Loss: 0.6650
Epoch [55/100], Step[47/526], Loss: 0.6985
Epoch [55/100], Step[48/526], Loss: 0.7129
Epoch [55/100], Step[49/526], Loss: 0.6923
Epoch [55/100], Step[50/526], Loss: 0.6968
Epoch [55/100], Step[51/526], Loss: 0.7034
Epoch [55/100], Step[52/526], Loss: 0.6788
Epoch [55/100], Step[53/526], Loss: 0.7179
Epoch [55/100], Step[54/526], Loss: 0.7063
Epoch [55/100], Step[55/526], Loss: 0.7077
Epoch [55/100], Step[56/526], Loss: 0.6844
Epoch [55/100], Step[57/526], Loss: 0.6787
Epoch [55/100], Step[58/526], Loss: 0.6704
Epoch [55/100], Step[59/526], Loss: 0.6530
Epoch [55/100], Step[60/526], Loss: 0.6685
Epoch [55/100], Step[61/526], Loss: 0.6665
Epoch [55/100], Step[62/526], Loss: 0.7010
Epoch [55/100], Step[63/526], Loss: 0.6924
Epoch [55/100], Step[64/526], Loss: 0.6822
Epoch [55/100], Step[65/526], Loss: 0.7214
Epoch [55/100], Step[66/526], Loss: 0.6829
Epoch [55/100], Step[67/526], Loss: 0.6444
Epoch [55/100], Step[68/526], Loss: 0.6487
Epoch [55/100], Step[69/526], Loss: 0.6868
Epoch [55/100], Step[70/526], Loss: 0.6843
Epoch [55/100], Step[71/526], Loss: 0.6726
Epoch [55/100], Step[72/526], Loss: 0.6845
Epoch [55/100], Step[73/526], Loss: 0.7146
Epoch [55/100], Step[74/526], Loss: 0.6579
Epoch [55/100], Step[75/526], Loss: 0.7059
Epoch [55/100], Step[76/526], Loss: 0.6802
Epoch [55/100], Step[77/526], Loss: 0.6967
Epoch [55/100], Step[78/526], Loss: 0.7101
Epoch [55/100], Step[79/526], Loss: 0.6908
Epoch [55/100], Step[80/526], Loss: 0.6902
Epoch [55/100], Step[81/526], Loss: 0.6913
Epoch [55/100], Step[82/526], Loss: 0.7285
Epoch [55/100], Step[83/526], Loss: 0.6992
Epoch [55/100], Step[84/526], Loss: 0.6885
Epoch [55/100], Step[85/526], Loss: 0.6536
Epoch [55/100], Step[86/526], Loss: 0.6977
Epoch [55/100], Step[87/526], Loss: 0.6897
Epoch [55/100], Step[88/526], Loss: 0.7004
Epoch [55/100], Step[89/526], Loss: 0.7211
Epoch [55/100], Step[90/526], Loss: 0.6949
Epoch [55/100], Step[91/526], Loss: 0.6760
Epoch [55/100], Step[92/526], Loss: 0.6824
Epoch [55/100], Step[93/526], Loss: 0.6807
Epoch [55/100], Step[94/526], Loss: 0.8018
Epoch [55/100], Step[95/526], Loss: 0.7205
Epoch [55/100], Step[96/526], Loss: 0.6254
Epoch [55/100], Step[97/526], Loss: 0.6000
Epoch [55/100], Step[98/526], Loss: 0.6868
Epoch [55/100], Step[99/526], Loss: 0.6888
Epoch [55/100], Step[100/526], Loss: 0.6654
Epoch [55/100], Step[101/526], Loss: 0.6575
Epoch [55/100], Step[102/526], Loss: 0.6276
Epoch [55/100], Step[103/526], Loss: 0.6959
Epoch [55/100], Step[104/526], Loss: 0.6456
Epoch [55/100], Step[105/526], Loss: 0.6332
Epoch [55/100], Step[106/526], Loss: 0.6863
Epoch [55/100], Step[107/526], Loss: 0.6345
Epoch [55/100], Step[108/526], Loss: 0.5775
Epoch [55/100], Step[109/526], Loss: 0.6788
Epoch [55/100], Step[110/526], Loss: 0.6882
Epoch [55/100], Step[111/526], Loss: 0.5899
Epoch [55/100], Step[112/526], Loss: 0.7325
Epoch [55/100], Step[113/526], Loss: 0.6082
Epoch [55/100], Step[114/526], Loss: 0.6642
Epoch [55/100], Step[115/526], Loss: 0.6018
Epoch [55/100], Step[116/526], Loss: 0.6285
Epoch [55/100], Step[117/526], Loss: 0.6615
Epoch [55/100], Step[118/526], Loss: 0.7513
Epoch [55/100], Step[119/526], Loss: 0.6748
Epoch [55/100], Step[120/526], Loss: 0.6794
Epoch [55/100], Step[121/526], Loss: 0.6886
Epoch [55/100], Step[122/526], Loss: 0.6234
Epoch [55/100], Step[123/526], Loss: 0.6462
Epoch [55/100], Step[124/526], Loss: 0.6692
Epoch [55/100], Step[125/526], Loss: 0.6375
Epoch [55/100], Step[126/526], Loss: 0.7195
Epoch [55/100], Step[127/526], Loss: 0.6707
Epoch [55/100], Step[128/526], Loss: 0.6449
Epoch [55/100], Step[129/526], Loss: 0.6015
Epoch [55/100], Step[130/526], Loss: 0.6214
Epoch [55/100], Step[131/526], Loss: 0.6666
Epoch [55/100], Step[132/526], Loss: 0.7130
Epoch [55/100], Step[133/526], Loss: 0.6746
Epoch [55/100], Step[134/526], Loss: 0.6284
Epoch [55/100], Step[135/526], Loss: 0.6462
Epoch [55/100], Step[136/526], Loss: 0.5687
Epoch [55/100], Step[137/526], Loss: 0.6392
Epoch [55/100], Step[138/526], Loss: 0.6276
Epoch [55/100], Step[139/526], Loss: 0.6926
Epoch [55/100], Step[140/526], Loss: 0.5993
Epoch [55/100], Step[141/526], Loss: 0.6798
Epoch [55/100], Step[142/526], Loss: 0.6667
Epoch [55/100], Step[143/526], Loss: 0.6912
Epoch [55/100], Step[144/526], Loss: 0.7842
Epoch [55/100], Step[145/526], Loss: 0.5469
Epoch [55/100], Step[146/526], Loss: 0.5171
Epoch [55/100], Step[147/526], Loss: 0.4674
Epoch [55/100], Step[148/526], Loss: 0.6053
Epoch [55/100], Step[149/526], Loss: 0.4834
Epoch [55/100], Step[150/526], Loss: 0.5665
Epoch [55/100], Step[151/526], Loss: 0.5523
Epoch [55/100], Step[152/526], Loss: 0.6224
Epoch [55/100], Step[153/526], Loss: 0.6410
Epoch [55/100], Step[154/526], Loss: 0.7095
Epoch [55/100], Step[155/526], Loss: 0.7074
Epoch [55/100], Step[156/526], Loss: 0.5451
Epoch [55/100], Step[157/526], Loss: 0.2711
Epoch [55/100], Step[158/526], Loss: 0.5915
Epoch [55/100], Step[159/526], Loss: 0.6727
Epoch [55/100], Step[160/526], Loss: 0.5456
Epoch [55/100], Step[161/526], Loss: 0.8769
Epoch [55/100], Step[162/526], Loss: 0.7031
Epoch [55/100], Step[163/526], Loss: 0.7162
Epoch [55/100], Step[164/526], Loss: 0.6149
Epoch [55/100], Step[165/526], Loss: 0.7017
Epoch [55/100], Step[166/526], Loss: 0.5095
Epoch [55/100], Step[167/526], Loss: 0.5711
Epoch [55/100], Step[168/526], Loss: 0.7048
Epoch [55/100], Step[169/526], Loss: 0.7618
Epoch [55/100], Step[170/526], Loss: 0.7046
Epoch [55/100], Step[171/526], Loss: 0.7396
Epoch [55/100], Step[172/526], Loss: 0.7050
Epoch [55/100], Step[173/526], Loss: 0.8261
Epoch [55/100], Step[174/526], Loss: 0.6136
Epoch [55/100], Step[175/526], Loss: 0.6653
Epoch [55/100], Step[176/526], Loss: 0.6205
Epoch [55/100], Step[177/526], Loss: 0.6628
Epoch [55/100], Step[178/526], Loss: 0.6896
Epoch [55/100], Step[179/526], Loss: 0.6264
Epoch [55/100], Step[180/526], Loss: 0.6735
Epoch [55/100], Step[181/526], Loss: 0.6424
Epoch [55/100], Step[182/526], Loss: 0.6807
Epoch [55/100], Step[183/526], Loss: 0.5357
Epoch [55/100], Step[184/526], Loss: 0.5968
Epoch [55/100], Step[185/526], Loss: 0.5902
Epoch [55/100], Step[186/526], Loss: 0.6618
Epoch [55/100], Step[187/526], Loss: 0.7275
Epoch [55/100], Step[188/526], Loss: 0.6905
Epoch [55/100], Step[189/526], Loss: 0.6714
Epoch [55/100], Step[190/526], Loss: 0.6532
Epoch [55/100], Step[191/526], Loss: 0.6916
Epoch [55/100], Step[192/526], Loss: 0.8075
Epoch [55/100], Step[193/526], Loss: 0.6547
Epoch [55/100], Step[194/526], Loss: 0.6138
Epoch [55/100], Step[195/526], Loss: 0.6455
Epoch [55/100], Step[196/526], Loss: 0.7277
Epoch [55/100], Step[197/526], Loss: 0.6824
Epoch [55/100], Step[198/526], Loss: 0.6354
Epoch [55/100], Step[199/526], Loss: 0.7406
Epoch [55/100], Step[200/526], Loss: 0.6828
Epoch [55/100], Step[201/526], Loss: 0.6712
Epoch [55/100], Step[202/526], Loss: 0.7378
Epoch [55/100], Step[203/526], Loss: 0.7059
Epoch [55/100], Step[204/526], Loss: 0.7137
Epoch [55/100], Step[205/526], Loss: 0.6985
Epoch [55/100], Step[206/526], Loss: 0.6837
Epoch [55/100], Step[207/526], Loss: 0.7085
Epoch [55/100], Step[208/526], Loss: 0.6793
Epoch [55/100], Step[209/526], Loss: 0.6791
Epoch [55/100], Step[210/526], Loss: 0.7627
Epoch [55/100], Step[211/526], Loss: 0.6271
Epoch [55/100], Step[212/526], Loss: 0.6858
Epoch [55/100], Step[213/526], Loss: 0.7220
Epoch [55/100], Step[214/526], Loss: 0.7462
Epoch [55/100], Step[215/526], Loss: 0.6961
Epoch [55/100], Step[216/526], Loss: 0.6764
Epoch [55/100], Step[217/526], Loss: 0.6752
Epoch [55/100], Step[218/526], Loss: 0.6966
Epoch [55/100], Step[219/526], Loss: 0.6895
Epoch [55/100], Step[220/526], Loss: 0.7248
Epoch [55/100], Step[221/526], Loss: 0.6960
Epoch [55/100], Step[222/526], Loss: 0.7391
Epoch [55/100], Step[223/526], Loss: 0.6782
Epoch [55/100], Step[224/526], Loss: 0.6807
Epoch [55/100], Step[225/526], Loss: 0.7208
Epoch [55/100], Step[226/526], Loss: 0.6719
Epoch [55/100], Step[227/526], Loss: 0.6635
Epoch [55/100], Step[228/526], Loss: 0.6576
Epoch [55/100], Step[229/526], Loss: 0.6831
Epoch [55/100], Step[230/526], Loss: 0.6600
Epoch [55/100], Step[231/526], Loss: 0.6664
Epoch [55/100], Step[232/526], Loss: 0.7118
Epoch [55/100], Step[233/526], Loss: 0.6826
Epoch [55/100], Step[234/526], Loss: 0.6760
Epoch [55/100], Step[235/526], Loss: 0.6993
Epoch [55/100], Step[236/526], Loss: 0.6947
Epoch [55/100], Step[237/526], Loss: 0.7165
Epoch [55/100], Step[238/526], Loss: 0.6792
Epoch [55/100], Step[239/526], Loss: 0.6665
Epoch [55/100], Step[240/526], Loss: 0.7261
Epoch [55/100], Step[241/526], Loss: 0.6925
Epoch [55/100], Step[242/526], Loss: 0.7085
Epoch [55/100], Step[243/526], Loss: 0.6211
Epoch [55/100], Step[244/526], Loss: 0.6506
Epoch [55/100], Step[245/526], Loss: 0.6406
Epoch [55/100], Step[246/526], Loss: 0.6653
Epoch [55/100], Step[247/526], Loss: 0.6187
Epoch [55/100], Step[248/526], Loss: 0.6553
Epoch [55/100], Step[249/526], Loss: 0.6656
Epoch [55/100], Step[250/526], Loss: 0.6818
Epoch [55/100], Step[251/526], Loss: 0.7047
Epoch [55/100], Step[252/526], Loss: 0.6947
Epoch [55/100], Step[253/526], Loss: 0.6316
Epoch [55/100], Step[254/526], Loss: 0.6677
Epoch [55/100], Step[255/526], Loss: 0.5992
Epoch [55/100], Step[256/526], Loss: 0.6914
Epoch [55/100], Step[257/526], Loss: 0.6603
Epoch [55/100], Step[258/526], Loss: 0.6264
Epoch [55/100], Step[259/526], Loss: 0.6835
Epoch [55/100], Step[260/526], Loss: 0.7483
Epoch [55/100], Step[261/526], Loss: 0.7536
Epoch [55/100], Step[262/526], Loss: 0.6754
Epoch [55/100], Step[263/526], Loss: 0.6620
Epoch [55/100], Step[264/526], Loss: 0.6420
Epoch [55/100], Step[265/526], Loss: 0.6240
Epoch [55/100], Step[266/526], Loss: 0.6295
Epoch [55/100], Step[267/526], Loss: 0.4938
Epoch [55/100], Step[268/526], Loss: 0.5407
Epoch [55/100], Step[269/526], Loss: 0.4504
Epoch [55/100], Step[270/526], Loss: 0.3756
Epoch [55/100], Step[271/526], Loss: 0.5061
Epoch [55/100], Step[272/526], Loss: 0.5260
Epoch [55/100], Step[273/526], Loss: 0.6369
Epoch [55/100], Step[274/526], Loss: 0.4238
Epoch [55/100], Step[275/526], Loss: 0.4107
Epoch [55/100], Step[276/526], Loss: 0.4685
Epoch [55/100], Step[277/526], Loss: 0.4200
Epoch [55/100], Step[278/526], Loss: 0.4518
Epoch [55/100], Step[279/526], Loss: 0.4064
Epoch [55/100], Step[280/526], Loss: 0.4422
Epoch [55/100], Step[281/526], Loss: 0.6291
Epoch [55/100], Step[282/526], Loss: 0.3536
Epoch [55/100], Step[283/526], Loss: 0.3668
Epoch [55/100], Step[284/526], Loss: 0.4025
Epoch [55/100], Step[285/526], Loss: 0.2723
Epoch [55/100], Step[286/526], Loss: 0.7035
Epoch [55/100], Step[287/526], Loss: 0.4790
Epoch [55/100], Step[288/526], Loss: 0.4318
Epoch [55/100], Step[289/526], Loss: 0.6172
Epoch [55/100], Step[290/526], Loss: 0.4247
Epoch [55/100], Step[291/526], Loss: 0.4813
Epoch [55/100], Step[292/526], Loss: 0.2607
Epoch [55/100], Step[293/526], Loss: 0.3048
Epoch [55/100], Step[294/526], Loss: 0.3170
Epoch [55/100], Step[295/526], Loss: 0.4245
Epoch [55/100], Step[296/526], Loss: 0.6170
Epoch [55/100], Step[297/526], Loss: 0.3003
Epoch [55/100], Step[298/526], Loss: 0.2840
Epoch [55/100], Step[299/526], Loss: 0.2361
Epoch [55/100], Step[300/526], Loss: 0.2815
Epoch [55/100], Step[301/526], Loss: 0.6247
Epoch [55/100], Step[302/526], Loss: 0.3243
Epoch [55/100], Step[303/526], Loss: 0.4734
Epoch [55/100], Step[304/526], Loss: 0.2595
Epoch [55/100], Step[305/526], Loss: 0.2593
Epoch [55/100], Step[306/526], Loss: 0.5827
Epoch [55/100], Step[307/526], Loss: 0.8948
Epoch [55/100], Step[308/526], Loss: 1.3260
Epoch [55/100], Step[309/526], Loss: 0.8055
Epoch [55/100], Step[310/526], Loss: 0.9587
Epoch [55/100], Step[311/526], Loss: 0.8292
Epoch [55/100], Step[312/526], Loss: 0.4900
Epoch [55/100], Step[313/526], Loss: 0.4885
Epoch [55/100], Step[314/526], Loss: 0.6571
Epoch [55/100], Step[315/526], Loss: 0.7087
Epoch [55/100], Step[316/526], Loss: 0.4921
Epoch [55/100], Step[317/526], Loss: 0.3243
Epoch [55/100], Step[318/526], Loss: 0.7754
Epoch [55/100], Step[319/526], Loss: 0.3581
Epoch [55/100], Step[320/526], Loss: 0.6226
Epoch [55/100], Step[321/526], Loss: 0.7041
Epoch [55/100], Step[322/526], Loss: 0.2715
Epoch [55/100], Step[323/526], Loss: 0.6169
Epoch [55/100], Step[324/526], Loss: 0.6549
Epoch [55/100], Step[325/526], Loss: 0.5916
Epoch [55/100], Step[326/526], Loss: 0.7510
Epoch [55/100], Step[327/526], Loss: 0.7290
Epoch [55/100], Step[328/526], Loss: 0.9316
Epoch [55/100], Step[329/526], Loss: 1.2707
Epoch [55/100], Step[330/526], Loss: 1.0421
Epoch [55/100], Step[331/526], Loss: 0.7800
Epoch [55/100], Step[332/526], Loss: 0.8235
Epoch [55/100], Step[333/526], Loss: 0.7662
Epoch [55/100], Step[334/526], Loss: 0.7645
Epoch [55/100], Step[335/526], Loss: 0.7725
Epoch [55/100], Step[336/526], Loss: 0.6935
Epoch [55/100], Step[337/526], Loss: 0.5933
Epoch [55/100], Step[338/526], Loss: 0.7037
Epoch [55/100], Step[339/526], Loss: 0.6273
Epoch [55/100], Step[340/526], Loss: 0.7199
Epoch [55/100], Step[341/526], Loss: 0.7637
Epoch [55/100], Step[342/526], Loss: 0.7765
Epoch [55/100], Step[343/526], Loss: 0.5394
Epoch [55/100], Step[344/526], Loss: 0.7285
Epoch [55/100], Step[345/526], Loss: 0.6528
Epoch [55/100], Step[346/526], Loss: 0.7476
Epoch [55/100], Step[347/526], Loss: 0.7146
Epoch [55/100], Step[348/526], Loss: 0.6277
Epoch [55/100], Step[349/526], Loss: 0.5680
Epoch [55/100], Step[350/526], Loss: 0.6710
Epoch [55/100], Step[351/526], Loss: 0.7131
Epoch [55/100], Step[352/526], Loss: 0.5875
Epoch [55/100], Step[353/526], Loss: 0.6979
Epoch [55/100], Step[354/526], Loss: 0.6688
Epoch [55/100], Step[355/526], Loss: 0.6702
Epoch [55/100], Step[356/526], Loss: 0.7010
Epoch [55/100], Step[357/526], Loss: 0.6605
Epoch [55/100], Step[358/526], Loss: 0.6993
Epoch [55/100], Step[359/526], Loss: 0.6514
Epoch [55/100], Step[360/526], Loss: 0.6795
Epoch [55/100], Step[361/526], Loss: 0.7231
Epoch [55/100], Step[362/526], Loss: 0.7048
Epoch [55/100], Step[363/526], Loss: 0.6932
Epoch [55/100], Step[364/526], Loss: 0.7158
Epoch [55/100], Step[365/526], Loss: 0.7207
Epoch [55/100], Step[366/526], Loss: 0.6883
Epoch [55/100], Step[367/526], Loss: 0.6923
Epoch [55/100], Step[368/526], Loss: 0.6503
Epoch [55/100], Step[369/526], Loss: 0.6611
Epoch [55/100], Step[370/526], Loss: 0.7179
Epoch [55/100], Step[371/526], Loss: 0.7390
Epoch [55/100], Step[372/526], Loss: 0.6411
Epoch [55/100], Step[373/526], Loss: 0.6794
Epoch [55/100], Step[374/526], Loss: 0.7072
Epoch [55/100], Step[375/526], Loss: 0.6496
Epoch [55/100], Step[376/526], Loss: 0.6686
Epoch [55/100], Step[377/526], Loss: 0.6939
Epoch [55/100], Step[378/526], Loss: 0.6839
Epoch [55/100], Step[379/526], Loss: 0.7472
Epoch [55/100], Step[380/526], Loss: 0.6131
Epoch [55/100], Step[381/526], Loss: 0.5977
Epoch [55/100], Step[382/526], Loss: 0.6761
Epoch [55/100], Step[383/526], Loss: 0.7320
Epoch [55/100], Step[384/526], Loss: 0.6349
Epoch [55/100], Step[385/526], Loss: 0.6219
Epoch [55/100], Step[386/526], Loss: 0.6721
Epoch [55/100], Step[387/526], Loss: 0.6476
Epoch [55/100], Step[388/526], Loss: 0.5979
Epoch [55/100], Step[389/526], Loss: 0.7190
Epoch [55/100], Step[390/526], Loss: 0.5765
Epoch [55/100], Step[391/526], Loss: 0.6552
Epoch [55/100], Step[392/526], Loss: 0.6989
Epoch [55/100], Step[393/526], Loss: 0.5859
Epoch [55/100], Step[394/526], Loss: 0.5103
Epoch [55/100], Step[395/526], Loss: 0.5938
Epoch [55/100], Step[396/526], Loss: 0.6302
Epoch [55/100], Step[397/526], Loss: 0.4576
Epoch [55/100], Step[398/526], Loss: 0.6032
Epoch [55/100], Step[399/526], Loss: 0.6535
Epoch [55/100], Step[400/526], Loss: 0.4694
Epoch [55/100], Step[401/526], Loss: 0.5994
Epoch [55/100], Step[402/526], Loss: 0.6416
Epoch [55/100], Step[403/526], Loss: 0.7204
Epoch [55/100], Step[404/526], Loss: 0.4783
Epoch [55/100], Step[405/526], Loss: 0.5012
Epoch [55/100], Step[406/526], Loss: 0.6306
Epoch [55/100], Step[407/526], Loss: 0.7775
Epoch [55/100], Step[408/526], Loss: 0.6510
Epoch [55/100], Step[409/526], Loss: 0.4699
Epoch [55/100], Step[410/526], Loss: 0.4885
Epoch [55/100], Step[411/526], Loss: 0.5344
Epoch [55/100], Step[412/526], Loss: 0.5938
Epoch [55/100], Step[413/526], Loss: 0.6004
Epoch [55/100], Step[414/526], Loss: 0.6417
Epoch [55/100], Step[415/526], Loss: 0.6046
Epoch [55/100], Step[416/526], Loss: 0.5464
Epoch [55/100], Step[417/526], Loss: 0.4457
Epoch [55/100], Step[418/526], Loss: 0.7391
Epoch [55/100], Step[419/526], Loss: 0.6886
Epoch [55/100], Step[420/526], Loss: 0.6802
Epoch [55/100], Step[421/526], Loss: 0.6452
Epoch [55/100], Step[422/526], Loss: 0.7699
Epoch [55/100], Step[423/526], Loss: 0.6927
Epoch [55/100], Step[424/526], Loss: 0.7412
Epoch [55/100], Step[425/526], Loss: 0.7034
Epoch [55/100], Step[426/526], Loss: 0.7704
Epoch [55/100], Step[427/526], Loss: 0.7079
Epoch [55/100], Step[428/526], Loss: 0.7143
Epoch [55/100], Step[429/526], Loss: 0.7262
Epoch [55/100], Step[430/526], Loss: 0.7864
Epoch [55/100], Step[431/526], Loss: 0.7044
Epoch [55/100], Step[432/526], Loss: 0.7288
Epoch [55/100], Step[433/526], Loss: 0.6752
Epoch [55/100], Step[434/526], Loss: 0.6102
Epoch [55/100], Step[435/526], Loss: 0.7791
Epoch [55/100], Step[436/526], Loss: 0.8079
Epoch [55/100], Step[437/526], Loss: 0.4948
Epoch [55/100], Step[438/526], Loss: 0.3571
Epoch [55/100], Step[439/526], Loss: 0.7237
Epoch [55/100], Step[440/526], Loss: 0.6860
Epoch [55/100], Step[441/526], Loss: 0.6896
Epoch [55/100], Step[442/526], Loss: 0.6409
Epoch [55/100], Step[443/526], Loss: 0.6697
Epoch [55/100], Step[444/526], Loss: 0.7526
Epoch [55/100], Step[445/526], Loss: 0.7038
Epoch [55/100], Step[446/526], Loss: 0.7155
Epoch [55/100], Step[447/526], Loss: 0.7195
Epoch [55/100], Step[448/526], Loss: 0.7189
Epoch [55/100], Step[449/526], Loss: 0.6725
Epoch [55/100], Step[450/526], Loss: 0.6018
Epoch [55/100], Step[451/526], Loss: 0.6630
Epoch [55/100], Step[452/526], Loss: 0.7230
Epoch [55/100], Step[453/526], Loss: 0.7049
Epoch [55/100], Step[454/526], Loss: 0.8316
Epoch [55/100], Step[455/526], Loss: 0.6540
Epoch [55/100], Step[456/526], Loss: 0.6595
Epoch [55/100], Step[457/526], Loss: 0.7129
Epoch [55/100], Step[458/526], Loss: 0.6731
Epoch [55/100], Step[459/526], Loss: 0.6587
Epoch [55/100], Step[460/526], Loss: 0.6448
Epoch [55/100], Step[461/526], Loss: 0.6143
Epoch [55/100], Step[462/526], Loss: 0.6711
Epoch [55/100], Step[463/526], Loss: 0.6534
Epoch [55/100], Step[464/526], Loss: 0.6375
Epoch [55/100], Step[465/526], Loss: 0.6600
Epoch [55/100], Step[466/526], Loss: 0.6721
Epoch [55/100], Step[467/526], Loss: 0.6432
Epoch [55/100], Step[468/526], Loss: 0.6164
Epoch [55/100], Step[469/526], Loss: 0.8078
Epoch [55/100], Step[470/526], Loss: 0.6596
Epoch [55/100], Step[471/526], Loss: 0.6860
Epoch [55/100], Step[472/526], Loss: 0.6752
Epoch [55/100], Step[473/526], Loss: 0.6760
Epoch [55/100], Step[474/526], Loss: 0.6770
Epoch [55/100], Step[475/526], Loss: 0.8368
Epoch [55/100], Step[476/526], Loss: 0.7443
Epoch [55/100], Step[477/526], Loss: 0.7025
Epoch [55/100], Step[478/526], Loss: 0.6896
Epoch [55/100], Step[479/526], Loss: 0.6582
Epoch [55/100], Step[480/526], Loss: 0.7330
Epoch [55/100], Step[481/526], Loss: 0.7324
Epoch [55/100], Step[482/526], Loss: 0.6208
Epoch [55/100], Step[483/526], Loss: 0.5412
Epoch [55/100], Step[484/526], Loss: 0.6987
Epoch [55/100], Step[485/526], Loss: 0.7723
Epoch [55/100], Step[486/526], Loss: 0.7250
Epoch [55/100], Step[487/526], Loss: 0.7526
Epoch [55/100], Step[488/526], Loss: 0.6887
Epoch [55/100], Step[489/526], Loss: 0.6265
Epoch [55/100], Step[490/526], Loss: 0.6100
Epoch [55/100], Step[491/526], Loss: 0.6949
Epoch [55/100], Step[492/526], Loss: 0.6504
Epoch [55/100], Step[493/526], Loss: 0.6421
Epoch [55/100], Step[494/526], Loss: 0.6602
Epoch [55/100], Step[495/526], Loss: 0.6841
Epoch [55/100], Step[496/526], Loss: 0.6647
Epoch [55/100], Step[497/526], Loss: 0.6338
Epoch [55/100], Step[498/526], Loss: 0.6725
Epoch [55/100], Step[499/526], Loss: 0.6684
Epoch [55/100], Step[500/526], Loss: 0.6672
Epoch [55/100], Step[501/526], Loss: 0.6601
Epoch [55/100], Step[502/526], Loss: 0.6802
Epoch [55/100], Step[503/526], Loss: 0.7140
Epoch [55/100], Step[504/526], Loss: 0.6433
Epoch [55/100], Step[505/526], Loss: 0.7072
Epoch [55/100], Step[506/526], Loss: 0.7689
Epoch [55/100], Step[507/526], Loss: 0.6743
Epoch [55/100], Step[508/526], Loss: 0.7379
Epoch [55/100], Step[509/526], Loss: 0.6606
Epoch [55/100], Step[510/526], Loss: 0.7028
Epoch [55/100], Step[511/526], Loss: 0.6156
Epoch [55/100], Step[512/526], Loss: 0.6631
Epoch [55/100], Step[513/526], Loss: 0.6630
Epoch [55/100], Step[514/526], Loss: 0.6702
Epoch [55/100], Step[515/526], Loss: 0.5985
Epoch [55/100], Step[516/526], Loss: 0.7624
Epoch [55/100], Step[517/526], Loss: 0.6819
Epoch [55/100], Step[518/526], Loss: 0.7266
Epoch [55/100], Step[519/526], Loss: 0.7165
Epoch [55/100], Step[520/526], Loss: 0.6741
Epoch [55/100], Step[521/526], Loss: 0.6521
Epoch [55/100], Step[522/526], Loss: 0.6133
Epoch [55/100], Step[523/526], Loss: 0.6530
Epoch [55/100], Step[524/526], Loss: 0.6332
Epoch [55/100], Step[525/526], Loss: 0.7593
Epoch [55/100], Step[526/526], Loss: 0.7290
Epoch [56/100], Step[1/526], Loss: 0.6534
Epoch [56/100], Step[2/526], Loss: 0.6329
Epoch [56/100], Step[3/526], Loss: 0.6766
Epoch [56/100], Step[4/526], Loss: 0.6171
Epoch [56/100], Step[5/526], Loss: 0.7356
Epoch [56/100], Step[6/526], Loss: 0.7843
Epoch [56/100], Step[7/526], Loss: 0.6847
Epoch [56/100], Step[8/526], Loss: 0.6822
Epoch [56/100], Step[9/526], Loss: 0.7084
Epoch [56/100], Step[10/526], Loss: 0.6513
Epoch [56/100], Step[11/526], Loss: 0.7065
Epoch [56/100], Step[12/526], Loss: 0.7514
Epoch [56/100], Step[13/526], Loss: 0.6086
Epoch [56/100], Step[14/526], Loss: 0.6559
Epoch [56/100], Step[15/526], Loss: 0.6884
Epoch [56/100], Step[16/526], Loss: 0.7007
Epoch [56/100], Step[17/526], Loss: 0.7026
Epoch [56/100], Step[18/526], Loss: 0.6738
Epoch [56/100], Step[19/526], Loss: 0.7108
Epoch [56/100], Step[20/526], Loss: 0.7254
Epoch [56/100], Step[21/526], Loss: 0.7487
Epoch [56/100], Step[22/526], Loss: 0.7304
Epoch [56/100], Step[23/526], Loss: 0.7350
Epoch [56/100], Step[24/526], Loss: 0.7146
Epoch [56/100], Step[25/526], Loss: 0.6927
Epoch [56/100], Step[26/526], Loss: 0.6255
Epoch [56/100], Step[27/526], Loss: 0.6852
Epoch [56/100], Step[28/526], Loss: 0.7044
Epoch [56/100], Step[29/526], Loss: 0.6520
Epoch [56/100], Step[30/526], Loss: 0.6907
Epoch [56/100], Step[31/526], Loss: 0.7102
Epoch [56/100], Step[32/526], Loss: 0.6740
Epoch [56/100], Step[33/526], Loss: 0.7158
Epoch [56/100], Step[34/526], Loss: 0.6956
Epoch [56/100], Step[35/526], Loss: 0.7118
Epoch [56/100], Step[36/526], Loss: 0.7015
Epoch [56/100], Step[37/526], Loss: 0.6911
Epoch [56/100], Step[38/526], Loss: 0.7087
Epoch [56/100], Step[39/526], Loss: 0.6920
Epoch [56/100], Step[40/526], Loss: 0.6982
Epoch [56/100], Step[41/526], Loss: 0.6641
Epoch [56/100], Step[42/526], Loss: 0.7263
Epoch [56/100], Step[43/526], Loss: 0.7169
Epoch [56/100], Step[44/526], Loss: 0.6849
Epoch [56/100], Step[45/526], Loss: 0.6864
Epoch [56/100], Step[46/526], Loss: 0.6880
Epoch [56/100], Step[47/526], Loss: 0.7061
Epoch [56/100], Step[48/526], Loss: 0.7237
Epoch [56/100], Step[49/526], Loss: 0.7070
Epoch [56/100], Step[50/526], Loss: 0.6854
Epoch [56/100], Step[51/526], Loss: 0.6930
Epoch [56/100], Step[52/526], Loss: 0.6751
Epoch [56/100], Step[53/526], Loss: 0.6971
Epoch [56/100], Step[54/526], Loss: 0.7186
Epoch [56/100], Step[55/526], Loss: 0.7345
Epoch [56/100], Step[56/526], Loss: 0.6923
Epoch [56/100], Step[57/526], Loss: 0.6829
Epoch [56/100], Step[58/526], Loss: 0.7009
Epoch [56/100], Step[59/526], Loss: 0.6518
Epoch [56/100], Step[60/526], Loss: 0.6749
Epoch [56/100], Step[61/526], Loss: 0.6735
Epoch [56/100], Step[62/526], Loss: 0.6987
Epoch [56/100], Step[63/526], Loss: 0.6819
Epoch [56/100], Step[64/526], Loss: 0.6699
Epoch [56/100], Step[65/526], Loss: 0.7458
Epoch [56/100], Step[66/526], Loss: 0.6886
Epoch [56/100], Step[67/526], Loss: 0.6444
Epoch [56/100], Step[68/526], Loss: 0.6640
Epoch [56/100], Step[69/526], Loss: 0.6960
Epoch [56/100], Step[70/526], Loss: 0.6858
Epoch [56/100], Step[71/526], Loss: 0.6713
Epoch [56/100], Step[72/526], Loss: 0.6840
Epoch [56/100], Step[73/526], Loss: 0.7167
Epoch [56/100], Step[74/526], Loss: 0.6547
Epoch [56/100], Step[75/526], Loss: 0.6971
Epoch [56/100], Step[76/526], Loss: 0.6887
Epoch [56/100], Step[77/526], Loss: 0.6956
Epoch [56/100], Step[78/526], Loss: 0.7153
Epoch [56/100], Step[79/526], Loss: 0.6902
Epoch [56/100], Step[80/526], Loss: 0.6891
Epoch [56/100], Step[81/526], Loss: 0.7026
Epoch [56/100], Step[82/526], Loss: 0.7347
Epoch [56/100], Step[83/526], Loss: 0.7077
Epoch [56/100], Step[84/526], Loss: 0.6899
Epoch [56/100], Step[85/526], Loss: 0.6571
Epoch [56/100], Step[86/526], Loss: 0.6925
Epoch [56/100], Step[87/526], Loss: 0.6839
Epoch [56/100], Step[88/526], Loss: 0.6853
Epoch [56/100], Step[89/526], Loss: 0.7167
Epoch [56/100], Step[90/526], Loss: 0.6852
Epoch [56/100], Step[91/526], Loss: 0.6767
Epoch [56/100], Step[92/526], Loss: 0.6781
Epoch [56/100], Step[93/526], Loss: 0.6823
Epoch [56/100], Step[94/526], Loss: 0.8063
Epoch [56/100], Step[95/526], Loss: 0.7177
Epoch [56/100], Step[96/526], Loss: 0.6243
Epoch [56/100], Step[97/526], Loss: 0.5907
Epoch [56/100], Step[98/526], Loss: 0.6829
Epoch [56/100], Step[99/526], Loss: 0.6937
Epoch [56/100], Step[100/526], Loss: 0.6614
Epoch [56/100], Step[101/526], Loss: 0.6596
Epoch [56/100], Step[102/526], Loss: 0.6285
Epoch [56/100], Step[103/526], Loss: 0.6981
Epoch [56/100], Step[104/526], Loss: 0.6445
Epoch [56/100], Step[105/526], Loss: 0.6330
Epoch [56/100], Step[106/526], Loss: 0.6835
Epoch [56/100], Step[107/526], Loss: 0.6353
Epoch [56/100], Step[108/526], Loss: 0.5797
Epoch [56/100], Step[109/526], Loss: 0.6694
Epoch [56/100], Step[110/526], Loss: 0.6895
Epoch [56/100], Step[111/526], Loss: 0.5909
Epoch [56/100], Step[112/526], Loss: 0.7337
Epoch [56/100], Step[113/526], Loss: 0.6086
Epoch [56/100], Step[114/526], Loss: 0.6649
Epoch [56/100], Step[115/526], Loss: 0.6046
Epoch [56/100], Step[116/526], Loss: 0.6271
Epoch [56/100], Step[117/526], Loss: 0.6598
Epoch [56/100], Step[118/526], Loss: 0.7499
Epoch [56/100], Step[119/526], Loss: 0.6726
Epoch [56/100], Step[120/526], Loss: 0.6797
Epoch [56/100], Step[121/526], Loss: 0.6870
Epoch [56/100], Step[122/526], Loss: 0.6319
Epoch [56/100], Step[123/526], Loss: 0.6471
Epoch [56/100], Step[124/526], Loss: 0.6703
Epoch [56/100], Step[125/526], Loss: 0.6363
Epoch [56/100], Step[126/526], Loss: 0.7187
Epoch [56/100], Step[127/526], Loss: 0.6715
Epoch [56/100], Step[128/526], Loss: 0.6441
Epoch [56/100], Step[129/526], Loss: 0.5986
Epoch [56/100], Step[130/526], Loss: 0.6132
Epoch [56/100], Step[131/526], Loss: 0.6671
Epoch [56/100], Step[132/526], Loss: 0.7155
Epoch [56/100], Step[133/526], Loss: 0.6733
Epoch [56/100], Step[134/526], Loss: 0.6305
Epoch [56/100], Step[135/526], Loss: 0.6471
Epoch [56/100], Step[136/526], Loss: 0.5711
Epoch [56/100], Step[137/526], Loss: 0.6379
Epoch [56/100], Step[138/526], Loss: 0.6367
Epoch [56/100], Step[139/526], Loss: 0.6978
Epoch [56/100], Step[140/526], Loss: 0.5981
Epoch [56/100], Step[141/526], Loss: 0.6777
Epoch [56/100], Step[142/526], Loss: 0.6655
Epoch [56/100], Step[143/526], Loss: 0.6860
Epoch [56/100], Step[144/526], Loss: 0.7822
Epoch [56/100], Step[145/526], Loss: 0.5459
Epoch [56/100], Step[146/526], Loss: 0.5161
Epoch [56/100], Step[147/526], Loss: 0.4638
Epoch [56/100], Step[148/526], Loss: 0.5994
Epoch [56/100], Step[149/526], Loss: 0.4893
Epoch [56/100], Step[150/526], Loss: 0.5516
Epoch [56/100], Step[151/526], Loss: 0.5457
Epoch [56/100], Step[152/526], Loss: 0.6203
Epoch [56/100], Step[153/526], Loss: 0.6341
Epoch [56/100], Step[154/526], Loss: 0.7079
Epoch [56/100], Step[155/526], Loss: 0.7040
Epoch [56/100], Step[156/526], Loss: 0.5364
Epoch [56/100], Step[157/526], Loss: 0.2672
Epoch [56/100], Step[158/526], Loss: 0.5856
Epoch [56/100], Step[159/526], Loss: 0.6736
Epoch [56/100], Step[160/526], Loss: 0.5392
Epoch [56/100], Step[161/526], Loss: 0.8951
Epoch [56/100], Step[162/526], Loss: 0.6974
Epoch [56/100], Step[163/526], Loss: 0.7124
Epoch [56/100], Step[164/526], Loss: 0.6145
Epoch [56/100], Step[165/526], Loss: 0.6974
Epoch [56/100], Step[166/526], Loss: 0.5061
Epoch [56/100], Step[167/526], Loss: 0.5680
Epoch [56/100], Step[168/526], Loss: 0.7097
Epoch [56/100], Step[169/526], Loss: 0.7618
Epoch [56/100], Step[170/526], Loss: 0.7023
Epoch [56/100], Step[171/526], Loss: 0.7367
Epoch [56/100], Step[172/526], Loss: 0.7053
Epoch [56/100], Step[173/526], Loss: 0.8241
Epoch [56/100], Step[174/526], Loss: 0.6119
Epoch [56/100], Step[175/526], Loss: 0.6608
Epoch [56/100], Step[176/526], Loss: 0.6166
Epoch [56/100], Step[177/526], Loss: 0.6634
Epoch [56/100], Step[178/526], Loss: 0.6867
Epoch [56/100], Step[179/526], Loss: 0.6248
Epoch [56/100], Step[180/526], Loss: 0.6728
Epoch [56/100], Step[181/526], Loss: 0.6433
Epoch [56/100], Step[182/526], Loss: 0.6793
Epoch [56/100], Step[183/526], Loss: 0.5346
Epoch [56/100], Step[184/526], Loss: 0.5948
Epoch [56/100], Step[185/526], Loss: 0.5935
Epoch [56/100], Step[186/526], Loss: 0.6555
Epoch [56/100], Step[187/526], Loss: 0.7320
Epoch [56/100], Step[188/526], Loss: 0.7007
Epoch [56/100], Step[189/526], Loss: 0.6752
Epoch [56/100], Step[190/526], Loss: 0.6543
Epoch [56/100], Step[191/526], Loss: 0.6999
Epoch [56/100], Step[192/526], Loss: 0.8195
Epoch [56/100], Step[193/526], Loss: 0.6419
Epoch [56/100], Step[194/526], Loss: 0.6195
Epoch [56/100], Step[195/526], Loss: 0.6477
Epoch [56/100], Step[196/526], Loss: 0.7302
Epoch [56/100], Step[197/526], Loss: 0.6794
Epoch [56/100], Step[198/526], Loss: 0.6330
Epoch [56/100], Step[199/526], Loss: 0.7358
Epoch [56/100], Step[200/526], Loss: 0.6796
Epoch [56/100], Step[201/526], Loss: 0.6725
Epoch [56/100], Step[202/526], Loss: 0.7557
Epoch [56/100], Step[203/526], Loss: 0.7001
Epoch [56/100], Step[204/526], Loss: 0.7239
Epoch [56/100], Step[205/526], Loss: 0.7067
Epoch [56/100], Step[206/526], Loss: 0.6747
Epoch [56/100], Step[207/526], Loss: 0.7081
Epoch [56/100], Step[208/526], Loss: 0.6870
Epoch [56/100], Step[209/526], Loss: 0.6838
Epoch [56/100], Step[210/526], Loss: 0.7665
Epoch [56/100], Step[211/526], Loss: 0.6254
Epoch [56/100], Step[212/526], Loss: 0.6860
Epoch [56/100], Step[213/526], Loss: 0.7260
Epoch [56/100], Step[214/526], Loss: 0.7469
Epoch [56/100], Step[215/526], Loss: 0.6936
Epoch [56/100], Step[216/526], Loss: 0.6756
Epoch [56/100], Step[217/526], Loss: 0.6737
Epoch [56/100], Step[218/526], Loss: 0.6968
Epoch [56/100], Step[219/526], Loss: 0.6899
Epoch [56/100], Step[220/526], Loss: 0.7273
Epoch [56/100], Step[221/526], Loss: 0.6968
Epoch [56/100], Step[222/526], Loss: 0.7383
Epoch [56/100], Step[223/526], Loss: 0.6693
Epoch [56/100], Step[224/526], Loss: 0.6768
Epoch [56/100], Step[225/526], Loss: 0.7236
Epoch [56/100], Step[226/526], Loss: 0.6663
Epoch [56/100], Step[227/526], Loss: 0.6627
Epoch [56/100], Step[228/526], Loss: 0.6570
Epoch [56/100], Step[229/526], Loss: 0.6844
Epoch [56/100], Step[230/526], Loss: 0.6621
Epoch [56/100], Step[231/526], Loss: 0.6651
Epoch [56/100], Step[232/526], Loss: 0.7118
Epoch [56/100], Step[233/526], Loss: 0.6846
Epoch [56/100], Step[234/526], Loss: 0.6618
Epoch [56/100], Step[235/526], Loss: 0.7086
Epoch [56/100], Step[236/526], Loss: 0.6951
Epoch [56/100], Step[237/526], Loss: 0.7190
Epoch [56/100], Step[238/526], Loss: 0.6640
Epoch [56/100], Step[239/526], Loss: 0.6662
Epoch [56/100], Step[240/526], Loss: 0.7234
Epoch [56/100], Step[241/526], Loss: 0.6823
Epoch [56/100], Step[242/526], Loss: 0.7112
Epoch [56/100], Step[243/526], Loss: 0.6523
Epoch [56/100], Step[244/526], Loss: 0.6502
Epoch [56/100], Step[245/526], Loss: 0.6457
Epoch [56/100], Step[246/526], Loss: 0.6655
Epoch [56/100], Step[247/526], Loss: 0.6159
Epoch [56/100], Step[248/526], Loss: 0.6542
Epoch [56/100], Step[249/526], Loss: 0.6858
Epoch [56/100], Step[250/526], Loss: 0.6841
Epoch [56/100], Step[251/526], Loss: 0.6943
Epoch [56/100], Step[252/526], Loss: 0.6950
Epoch [56/100], Step[253/526], Loss: 0.6243
Epoch [56/100], Step[254/526], Loss: 0.6649
Epoch [56/100], Step[255/526], Loss: 0.5956
Epoch [56/100], Step[256/526], Loss: 0.6766
Epoch [56/100], Step[257/526], Loss: 0.6554
Epoch [56/100], Step[258/526], Loss: 0.6247
Epoch [56/100], Step[259/526], Loss: 0.6746
Epoch [56/100], Step[260/526], Loss: 0.7542
Epoch [56/100], Step[261/526], Loss: 0.7560
Epoch [56/100], Step[262/526], Loss: 0.6773
Epoch [56/100], Step[263/526], Loss: 0.6624
Epoch [56/100], Step[264/526], Loss: 0.6449
Epoch [56/100], Step[265/526], Loss: 0.6184
Epoch [56/100], Step[266/526], Loss: 0.6242
Epoch [56/100], Step[267/526], Loss: 0.4923
Epoch [56/100], Step[268/526], Loss: 0.5411
Epoch [56/100], Step[269/526], Loss: 0.4468
Epoch [56/100], Step[270/526], Loss: 0.3742
Epoch [56/100], Step[271/526], Loss: 0.5046
Epoch [56/100], Step[272/526], Loss: 0.5232
Epoch [56/100], Step[273/526], Loss: 0.6350
Epoch [56/100], Step[274/526], Loss: 0.4245
Epoch [56/100], Step[275/526], Loss: 0.4075
Epoch [56/100], Step[276/526], Loss: 0.4684
Epoch [56/100], Step[277/526], Loss: 0.4174
Epoch [56/100], Step[278/526], Loss: 0.4469
Epoch [56/100], Step[279/526], Loss: 0.4037
Epoch [56/100], Step[280/526], Loss: 0.4425
Epoch [56/100], Step[281/526], Loss: 0.6334
Epoch [56/100], Step[282/526], Loss: 0.3545
Epoch [56/100], Step[283/526], Loss: 0.3646
Epoch [56/100], Step[284/526], Loss: 0.4018
Epoch [56/100], Step[285/526], Loss: 0.2719
Epoch [56/100], Step[286/526], Loss: 0.6992
Epoch [56/100], Step[287/526], Loss: 0.4805
Epoch [56/100], Step[288/526], Loss: 0.4318
Epoch [56/100], Step[289/526], Loss: 0.6188
Epoch [56/100], Step[290/526], Loss: 0.4239
Epoch [56/100], Step[291/526], Loss: 0.4829
Epoch [56/100], Step[292/526], Loss: 0.2597
Epoch [56/100], Step[293/526], Loss: 0.3048
Epoch [56/100], Step[294/526], Loss: 0.3147
Epoch [56/100], Step[295/526], Loss: 0.4169
Epoch [56/100], Step[296/526], Loss: 0.6249
Epoch [56/100], Step[297/526], Loss: 0.2987
Epoch [56/100], Step[298/526], Loss: 0.2832
Epoch [56/100], Step[299/526], Loss: 0.2353
Epoch [56/100], Step[300/526], Loss: 0.2844
Epoch [56/100], Step[301/526], Loss: 0.6235
Epoch [56/100], Step[302/526], Loss: 0.3242
Epoch [56/100], Step[303/526], Loss: 0.4737
Epoch [56/100], Step[304/526], Loss: 0.2603
Epoch [56/100], Step[305/526], Loss: 0.2598
Epoch [56/100], Step[306/526], Loss: 0.5860
Epoch [56/100], Step[307/526], Loss: 0.8952
Epoch [56/100], Step[308/526], Loss: 1.3249
Epoch [56/100], Step[309/526], Loss: 0.8544
Epoch [56/100], Step[310/526], Loss: 0.9571
Epoch [56/100], Step[311/526], Loss: 0.8220
Epoch [56/100], Step[312/526], Loss: 0.4905
Epoch [56/100], Step[313/526], Loss: 0.4851
Epoch [56/100], Step[314/526], Loss: 0.6544
Epoch [56/100], Step[315/526], Loss: 0.7056
Epoch [56/100], Step[316/526], Loss: 0.4918
Epoch [56/100], Step[317/526], Loss: 0.3241
Epoch [56/100], Step[318/526], Loss: 0.7724
Epoch [56/100], Step[319/526], Loss: 0.3580
Epoch [56/100], Step[320/526], Loss: 0.6273
Epoch [56/100], Step[321/526], Loss: 0.7044
Epoch [56/100], Step[322/526], Loss: 0.2709
Epoch [56/100], Step[323/526], Loss: 0.6167
Epoch [56/100], Step[324/526], Loss: 0.6566
Epoch [56/100], Step[325/526], Loss: 0.5855
Epoch [56/100], Step[326/526], Loss: 0.7511
Epoch [56/100], Step[327/526], Loss: 0.7396
Epoch [56/100], Step[328/526], Loss: 0.9373
Epoch [56/100], Step[329/526], Loss: 1.2813
Epoch [56/100], Step[330/526], Loss: 1.0457
Epoch [56/100], Step[331/526], Loss: 0.7806
Epoch [56/100], Step[332/526], Loss: 0.8319
Epoch [56/100], Step[333/526], Loss: 0.7712
Epoch [56/100], Step[334/526], Loss: 0.7677
Epoch [56/100], Step[335/526], Loss: 0.7805
Epoch [56/100], Step[336/526], Loss: 0.6987
Epoch [56/100], Step[337/526], Loss: 0.5893
Epoch [56/100], Step[338/526], Loss: 0.7047
Epoch [56/100], Step[339/526], Loss: 0.6385
Epoch [56/100], Step[340/526], Loss: 0.7183
Epoch [56/100], Step[341/526], Loss: 0.7576
Epoch [56/100], Step[342/526], Loss: 0.7728
Epoch [56/100], Step[343/526], Loss: 0.5390
Epoch [56/100], Step[344/526], Loss: 0.7275
Epoch [56/100], Step[345/526], Loss: 0.6685
Epoch [56/100], Step[346/526], Loss: 0.6659
Epoch [56/100], Step[347/526], Loss: 0.7114
Epoch [56/100], Step[348/526], Loss: 0.6299
Epoch [56/100], Step[349/526], Loss: 0.5747
Epoch [56/100], Step[350/526], Loss: 0.6720
Epoch [56/100], Step[351/526], Loss: 0.7126
Epoch [56/100], Step[352/526], Loss: 0.6096
Epoch [56/100], Step[353/526], Loss: 0.6843
Epoch [56/100], Step[354/526], Loss: 0.6666
Epoch [56/100], Step[355/526], Loss: 0.6692
Epoch [56/100], Step[356/526], Loss: 0.7013
Epoch [56/100], Step[357/526], Loss: 0.6606
Epoch [56/100], Step[358/526], Loss: 0.6948
Epoch [56/100], Step[359/526], Loss: 0.6472
Epoch [56/100], Step[360/526], Loss: 0.6833
Epoch [56/100], Step[361/526], Loss: 0.7352
Epoch [56/100], Step[362/526], Loss: 0.7080
Epoch [56/100], Step[363/526], Loss: 0.6920
Epoch [56/100], Step[364/526], Loss: 0.7182
Epoch [56/100], Step[365/526], Loss: 0.7262
Epoch [56/100], Step[366/526], Loss: 0.6856
Epoch [56/100], Step[367/526], Loss: 0.6907
Epoch [56/100], Step[368/526], Loss: 0.6487
Epoch [56/100], Step[369/526], Loss: 0.6559
Epoch [56/100], Step[370/526], Loss: 0.5640
Epoch [56/100], Step[371/526], Loss: 0.7401
Epoch [56/100], Step[372/526], Loss: 0.6376
Epoch [56/100], Step[373/526], Loss: 0.6778
Epoch [56/100], Step[374/526], Loss: 0.7060
Epoch [56/100], Step[375/526], Loss: 0.6514
Epoch [56/100], Step[376/526], Loss: 0.6434
Epoch [56/100], Step[377/526], Loss: 0.6907
Epoch [56/100], Step[378/526], Loss: 0.6890
Epoch [56/100], Step[379/526], Loss: 0.7499
Epoch [56/100], Step[380/526], Loss: 0.6095
Epoch [56/100], Step[381/526], Loss: 0.5945
Epoch [56/100], Step[382/526], Loss: 0.6736
Epoch [56/100], Step[383/526], Loss: 0.7205
Epoch [56/100], Step[384/526], Loss: 0.6337
Epoch [56/100], Step[385/526], Loss: 0.6243
Epoch [56/100], Step[386/526], Loss: 0.6719
Epoch [56/100], Step[387/526], Loss: 0.6449
Epoch [56/100], Step[388/526], Loss: 0.5936
Epoch [56/100], Step[389/526], Loss: 0.7201
Epoch [56/100], Step[390/526], Loss: 0.5837
Epoch [56/100], Step[391/526], Loss: 0.6540
Epoch [56/100], Step[392/526], Loss: 0.6971
Epoch [56/100], Step[393/526], Loss: 0.5854
Epoch [56/100], Step[394/526], Loss: 0.5148
Epoch [56/100], Step[395/526], Loss: 0.5998
Epoch [56/100], Step[396/526], Loss: 0.6278
Epoch [56/100], Step[397/526], Loss: 0.4626
Epoch [56/100], Step[398/526], Loss: 0.6023
Epoch [56/100], Step[399/526], Loss: 0.6530
Epoch [56/100], Step[400/526], Loss: 0.4740
Epoch [56/100], Step[401/526], Loss: 0.6018
Epoch [56/100], Step[402/526], Loss: 0.6459
Epoch [56/100], Step[403/526], Loss: 0.7181
Epoch [56/100], Step[404/526], Loss: 0.4819
Epoch [56/100], Step[405/526], Loss: 0.5028
Epoch [56/100], Step[406/526], Loss: 0.6287
Epoch [56/100], Step[407/526], Loss: 0.7869
Epoch [56/100], Step[408/526], Loss: 0.6502
Epoch [56/100], Step[409/526], Loss: 0.4757
Epoch [56/100], Step[410/526], Loss: 0.4916
Epoch [56/100], Step[411/526], Loss: 0.5371
Epoch [56/100], Step[412/526], Loss: 0.5962
Epoch [56/100], Step[413/526], Loss: 0.6017
Epoch [56/100], Step[414/526], Loss: 0.6451
Epoch [56/100], Step[415/526], Loss: 0.6046
Epoch [56/100], Step[416/526], Loss: 0.5450
Epoch [56/100], Step[417/526], Loss: 0.4417
Epoch [56/100], Step[418/526], Loss: 0.7353
Epoch [56/100], Step[419/526], Loss: 0.6870
Epoch [56/100], Step[420/526], Loss: 0.6808
Epoch [56/100], Step[421/526], Loss: 0.6451
Epoch [56/100], Step[422/526], Loss: 0.7672
Epoch [56/100], Step[423/526], Loss: 0.6912
Epoch [56/100], Step[424/526], Loss: 0.7396
Epoch [56/100], Step[425/526], Loss: 0.6981
Epoch [56/100], Step[426/526], Loss: 0.7810
Epoch [56/100], Step[427/526], Loss: 0.7061
Epoch [56/100], Step[428/526], Loss: 0.7109
Epoch [56/100], Step[429/526], Loss: 0.7244
Epoch [56/100], Step[430/526], Loss: 0.7901
Epoch [56/100], Step[431/526], Loss: 0.7022
Epoch [56/100], Step[432/526], Loss: 0.7305
Epoch [56/100], Step[433/526], Loss: 0.6728
Epoch [56/100], Step[434/526], Loss: 0.6095
Epoch [56/100], Step[435/526], Loss: 0.7778
Epoch [56/100], Step[436/526], Loss: 0.8086
Epoch [56/100], Step[437/526], Loss: 0.4887
Epoch [56/100], Step[438/526], Loss: 0.3603
Epoch [56/100], Step[439/526], Loss: 0.7233
Epoch [56/100], Step[440/526], Loss: 0.6929
Epoch [56/100], Step[441/526], Loss: 0.7008
Epoch [56/100], Step[442/526], Loss: 0.6406
Epoch [56/100], Step[443/526], Loss: 0.6695
Epoch [56/100], Step[444/526], Loss: 0.7542
Epoch [56/100], Step[445/526], Loss: 0.7044
Epoch [56/100], Step[446/526], Loss: 0.7156
Epoch [56/100], Step[447/526], Loss: 0.7199
Epoch [56/100], Step[448/526], Loss: 0.7190
Epoch [56/100], Step[449/526], Loss: 0.6741
Epoch [56/100], Step[450/526], Loss: 0.6040
Epoch [56/100], Step[451/526], Loss: 0.6647
Epoch [56/100], Step[452/526], Loss: 0.7241
Epoch [56/100], Step[453/526], Loss: 0.7090
Epoch [56/100], Step[454/526], Loss: 0.8317
Epoch [56/100], Step[455/526], Loss: 0.6629
Epoch [56/100], Step[456/526], Loss: 0.6318
Epoch [56/100], Step[457/526], Loss: 0.7001
Epoch [56/100], Step[458/526], Loss: 0.6804
Epoch [56/100], Step[459/526], Loss: 0.6645
Epoch [56/100], Step[460/526], Loss: 0.6516
Epoch [56/100], Step[461/526], Loss: 0.6142
Epoch [56/100], Step[462/526], Loss: 0.6754
Epoch [56/100], Step[463/526], Loss: 0.6532
Epoch [56/100], Step[464/526], Loss: 0.6379
Epoch [56/100], Step[465/526], Loss: 0.6617
Epoch [56/100], Step[466/526], Loss: 0.6685
Epoch [56/100], Step[467/526], Loss: 0.6496
Epoch [56/100], Step[468/526], Loss: 0.6172
Epoch [56/100], Step[469/526], Loss: 0.8066
Epoch [56/100], Step[470/526], Loss: 0.6586
Epoch [56/100], Step[471/526], Loss: 0.6950
Epoch [56/100], Step[472/526], Loss: 0.6742
Epoch [56/100], Step[473/526], Loss: 0.6798
Epoch [56/100], Step[474/526], Loss: 0.6783
Epoch [56/100], Step[475/526], Loss: 0.8364
Epoch [56/100], Step[476/526], Loss: 0.7434
Epoch [56/100], Step[477/526], Loss: 0.7043
Epoch [56/100], Step[478/526], Loss: 0.6880
Epoch [56/100], Step[479/526], Loss: 0.6584
Epoch [56/100], Step[480/526], Loss: 0.7328
Epoch [56/100], Step[481/526], Loss: 0.7311
Epoch [56/100], Step[482/526], Loss: 0.6170
Epoch [56/100], Step[483/526], Loss: 0.5376
Epoch [56/100], Step[484/526], Loss: 0.6988
Epoch [56/100], Step[485/526], Loss: 0.7763
Epoch [56/100], Step[486/526], Loss: 0.7249
Epoch [56/100], Step[487/526], Loss: 0.7509
Epoch [56/100], Step[488/526], Loss: 0.6893
Epoch [56/100], Step[489/526], Loss: 0.6229
Epoch [56/100], Step[490/526], Loss: 0.6117
Epoch [56/100], Step[491/526], Loss: 0.6998
Epoch [56/100], Step[492/526], Loss: 0.6492
Epoch [56/100], Step[493/526], Loss: 0.6413
Epoch [56/100], Step[494/526], Loss: 0.6615
Epoch [56/100], Step[495/526], Loss: 0.6831
Epoch [56/100], Step[496/526], Loss: 0.6649
Epoch [56/100], Step[497/526], Loss: 0.6349
Epoch [56/100], Step[498/526], Loss: 0.6727
Epoch [56/100], Step[499/526], Loss: 0.6697
Epoch [56/100], Step[500/526], Loss: 0.6937
Epoch [56/100], Step[501/526], Loss: 0.6539
Epoch [56/100], Step[502/526], Loss: 0.6994
Epoch [56/100], Step[503/526], Loss: 0.7125
Epoch [56/100], Step[504/526], Loss: 0.7041
Epoch [56/100], Step[505/526], Loss: 0.7082
Epoch [56/100], Step[506/526], Loss: 0.6693
Epoch [56/100], Step[507/526], Loss: 0.6716
Epoch [56/100], Step[508/526], Loss: 0.6965
Epoch [56/100], Step[509/526], Loss: 0.6481
Epoch [56/100], Step[510/526], Loss: 0.7031
Epoch [56/100], Step[511/526], Loss: 0.6424
Epoch [56/100], Step[512/526], Loss: 0.6734
Epoch [56/100], Step[513/526], Loss: 0.6456
Epoch [56/100], Step[514/526], Loss: 0.6530
Epoch [56/100], Step[515/526], Loss: 0.5717
Epoch [56/100], Step[516/526], Loss: 0.7510
Epoch [56/100], Step[517/526], Loss: 0.6905
Epoch [56/100], Step[518/526], Loss: 0.7306
Epoch [56/100], Step[519/526], Loss: 0.7155
Epoch [56/100], Step[520/526], Loss: 0.6771
Epoch [56/100], Step[521/526], Loss: 0.6652
Epoch [56/100], Step[522/526], Loss: 0.6037
Epoch [56/100], Step[523/526], Loss: 0.6480
Epoch [56/100], Step[524/526], Loss: 0.6348
Epoch [56/100], Step[525/526], Loss: 0.7471
Epoch [56/100], Step[526/526], Loss: 0.7080
Epoch [57/100], Step[1/526], Loss: 0.6501
Epoch [57/100], Step[2/526], Loss: 0.6406
Epoch [57/100], Step[3/526], Loss: 0.6793
Epoch [57/100], Step[4/526], Loss: 0.6322
Epoch [57/100], Step[5/526], Loss: 0.7397
Epoch [57/100], Step[6/526], Loss: 0.7526
Epoch [57/100], Step[7/526], Loss: 0.6958
Epoch [57/100], Step[8/526], Loss: 0.6811
Epoch [57/100], Step[9/526], Loss: 0.7055
Epoch [57/100], Step[10/526], Loss: 0.6659
Epoch [57/100], Step[11/526], Loss: 0.6782
Epoch [57/100], Step[12/526], Loss: 0.7354
Epoch [57/100], Step[13/526], Loss: 0.6073
Epoch [57/100], Step[14/526], Loss: 0.6435
Epoch [57/100], Step[15/526], Loss: 0.6857
Epoch [57/100], Step[16/526], Loss: 0.7027
Epoch [57/100], Step[17/526], Loss: 0.7097
Epoch [57/100], Step[18/526], Loss: 0.6788
Epoch [57/100], Step[19/526], Loss: 0.6933
Epoch [57/100], Step[20/526], Loss: 0.7303
Epoch [57/100], Step[21/526], Loss: 0.7720
Epoch [57/100], Step[22/526], Loss: 0.7305
Epoch [57/100], Step[23/526], Loss: 0.7369
Epoch [57/100], Step[24/526], Loss: 0.7174
Epoch [57/100], Step[25/526], Loss: 0.6958
Epoch [57/100], Step[26/526], Loss: 0.6091
Epoch [57/100], Step[27/526], Loss: 0.6768
Epoch [57/100], Step[28/526], Loss: 0.6841
Epoch [57/100], Step[29/526], Loss: 0.6459
Epoch [57/100], Step[30/526], Loss: 0.6928
Epoch [57/100], Step[31/526], Loss: 0.7070
Epoch [57/100], Step[32/526], Loss: 0.6676
Epoch [57/100], Step[33/526], Loss: 0.7118
Epoch [57/100], Step[34/526], Loss: 0.6949
Epoch [57/100], Step[35/526], Loss: 0.7055
Epoch [57/100], Step[36/526], Loss: 0.6969
Epoch [57/100], Step[37/526], Loss: 0.6913
Epoch [57/100], Step[38/526], Loss: 0.7104
Epoch [57/100], Step[39/526], Loss: 0.6913
Epoch [57/100], Step[40/526], Loss: 0.6974
Epoch [57/100], Step[41/526], Loss: 0.6845
Epoch [57/100], Step[42/526], Loss: 0.7176
Epoch [57/100], Step[43/526], Loss: 0.7369
Epoch [57/100], Step[44/526], Loss: 0.6801
Epoch [57/100], Step[45/526], Loss: 0.6729
Epoch [57/100], Step[46/526], Loss: 0.6702
Epoch [57/100], Step[47/526], Loss: 0.7252
Epoch [57/100], Step[48/526], Loss: 0.7238
Epoch [57/100], Step[49/526], Loss: 0.7079
Epoch [57/100], Step[50/526], Loss: 0.6817
Epoch [57/100], Step[51/526], Loss: 0.6997
Epoch [57/100], Step[52/526], Loss: 0.6542
Epoch [57/100], Step[53/526], Loss: 0.6884
Epoch [57/100], Step[54/526], Loss: 0.7313
Epoch [57/100], Step[55/526], Loss: 0.7282
Epoch [57/100], Step[56/526], Loss: 0.6854
Epoch [57/100], Step[57/526], Loss: 0.6714
Epoch [57/100], Step[58/526], Loss: 0.7023
Epoch [57/100], Step[59/526], Loss: 0.6442
Epoch [57/100], Step[60/526], Loss: 0.6739
Epoch [57/100], Step[61/526], Loss: 0.6688
Epoch [57/100], Step[62/526], Loss: 0.6869
Epoch [57/100], Step[63/526], Loss: 0.6700
Epoch [57/100], Step[64/526], Loss: 0.6902
Epoch [57/100], Step[65/526], Loss: 0.7376
Epoch [57/100], Step[66/526], Loss: 0.6893
Epoch [57/100], Step[67/526], Loss: 0.6390
Epoch [57/100], Step[68/526], Loss: 0.6526
Epoch [57/100], Step[69/526], Loss: 0.6921
Epoch [57/100], Step[70/526], Loss: 0.6905
Epoch [57/100], Step[71/526], Loss: 0.6748
Epoch [57/100], Step[72/526], Loss: 0.6867
Epoch [57/100], Step[73/526], Loss: 0.7176
Epoch [57/100], Step[74/526], Loss: 0.6536
Epoch [57/100], Step[75/526], Loss: 0.6886
Epoch [57/100], Step[76/526], Loss: 0.6761
Epoch [57/100], Step[77/526], Loss: 0.6955
Epoch [57/100], Step[78/526], Loss: 0.7122
Epoch [57/100], Step[79/526], Loss: 0.6886
Epoch [57/100], Step[80/526], Loss: 0.6856
Epoch [57/100], Step[81/526], Loss: 0.6973
Epoch [57/100], Step[82/526], Loss: 0.7370
Epoch [57/100], Step[83/526], Loss: 0.6979
Epoch [57/100], Step[84/526], Loss: 0.6927
Epoch [57/100], Step[85/526], Loss: 0.6595
Epoch [57/100], Step[86/526], Loss: 0.6910
Epoch [57/100], Step[87/526], Loss: 0.6827
Epoch [57/100], Step[88/526], Loss: 0.6869
Epoch [57/100], Step[89/526], Loss: 0.7110
Epoch [57/100], Step[90/526], Loss: 0.7042
Epoch [57/100], Step[91/526], Loss: 0.6768
Epoch [57/100], Step[92/526], Loss: 0.6788
Epoch [57/100], Step[93/526], Loss: 0.6861
Epoch [57/100], Step[94/526], Loss: 0.8084
Epoch [57/100], Step[95/526], Loss: 0.7435
Epoch [57/100], Step[96/526], Loss: 0.6393
Epoch [57/100], Step[97/526], Loss: 0.6235
Epoch [57/100], Step[98/526], Loss: 0.6829
Epoch [57/100], Step[99/526], Loss: 0.6893
Epoch [57/100], Step[100/526], Loss: 0.6613
Epoch [57/100], Step[101/526], Loss: 0.6541
Epoch [57/100], Step[102/526], Loss: 0.6343
Epoch [57/100], Step[103/526], Loss: 0.7051
Epoch [57/100], Step[104/526], Loss: 0.6530
Epoch [57/100], Step[105/526], Loss: 0.6359
Epoch [57/100], Step[106/526], Loss: 0.6856
Epoch [57/100], Step[107/526], Loss: 0.6319
Epoch [57/100], Step[108/526], Loss: 0.5747
Epoch [57/100], Step[109/526], Loss: 0.6689
Epoch [57/100], Step[110/526], Loss: 0.6844
Epoch [57/100], Step[111/526], Loss: 0.5920
Epoch [57/100], Step[112/526], Loss: 0.7347
Epoch [57/100], Step[113/526], Loss: 0.6083
Epoch [57/100], Step[114/526], Loss: 0.6645
Epoch [57/100], Step[115/526], Loss: 0.6008
Epoch [57/100], Step[116/526], Loss: 0.6285
Epoch [57/100], Step[117/526], Loss: 0.6627
Epoch [57/100], Step[118/526], Loss: 0.7517
Epoch [57/100], Step[119/526], Loss: 0.6756
Epoch [57/100], Step[120/526], Loss: 0.6809
Epoch [57/100], Step[121/526], Loss: 0.6886
Epoch [57/100], Step[122/526], Loss: 0.6270
Epoch [57/100], Step[123/526], Loss: 0.6452
Epoch [57/100], Step[124/526], Loss: 0.6693
Epoch [57/100], Step[125/526], Loss: 0.6367
Epoch [57/100], Step[126/526], Loss: 0.7209
Epoch [57/100], Step[127/526], Loss: 0.6700
Epoch [57/100], Step[128/526], Loss: 0.6448
Epoch [57/100], Step[129/526], Loss: 0.5993
Epoch [57/100], Step[130/526], Loss: 0.6200
Epoch [57/100], Step[131/526], Loss: 0.6682
Epoch [57/100], Step[132/526], Loss: 0.7149
Epoch [57/100], Step[133/526], Loss: 0.6714
Epoch [57/100], Step[134/526], Loss: 0.6294
Epoch [57/100], Step[135/526], Loss: 0.6454
Epoch [57/100], Step[136/526], Loss: 0.5676
Epoch [57/100], Step[137/526], Loss: 0.6407
Epoch [57/100], Step[138/526], Loss: 0.6306
Epoch [57/100], Step[139/526], Loss: 0.6926
Epoch [57/100], Step[140/526], Loss: 0.5992
Epoch [57/100], Step[141/526], Loss: 0.6782
Epoch [57/100], Step[142/526], Loss: 0.6656
Epoch [57/100], Step[143/526], Loss: 0.6843
Epoch [57/100], Step[144/526], Loss: 0.7841
Epoch [57/100], Step[145/526], Loss: 0.5490
Epoch [57/100], Step[146/526], Loss: 0.5129
Epoch [57/100], Step[147/526], Loss: 0.4711
Epoch [57/100], Step[148/526], Loss: 0.5986
Epoch [57/100], Step[149/526], Loss: 0.4799
Epoch [57/100], Step[150/526], Loss: 0.5637
Epoch [57/100], Step[151/526], Loss: 0.5527
Epoch [57/100], Step[152/526], Loss: 0.6248
Epoch [57/100], Step[153/526], Loss: 0.6374
Epoch [57/100], Step[154/526], Loss: 0.7113
Epoch [57/100], Step[155/526], Loss: 0.7028
Epoch [57/100], Step[156/526], Loss: 0.5433
Epoch [57/100], Step[157/526], Loss: 0.2703
Epoch [57/100], Step[158/526], Loss: 0.5928
Epoch [57/100], Step[159/526], Loss: 0.6716
Epoch [57/100], Step[160/526], Loss: 0.5460
Epoch [57/100], Step[161/526], Loss: 0.8791
Epoch [57/100], Step[162/526], Loss: 0.7021
Epoch [57/100], Step[163/526], Loss: 0.7105
Epoch [57/100], Step[164/526], Loss: 0.6148
Epoch [57/100], Step[165/526], Loss: 0.6954
Epoch [57/100], Step[166/526], Loss: 0.5092
Epoch [57/100], Step[167/526], Loss: 0.5702
Epoch [57/100], Step[168/526], Loss: 0.7087
Epoch [57/100], Step[169/526], Loss: 0.7619
Epoch [57/100], Step[170/526], Loss: 0.7049
Epoch [57/100], Step[171/526], Loss: 0.7416
Epoch [57/100], Step[172/526], Loss: 0.7075
Epoch [57/100], Step[173/526], Loss: 0.8326
Epoch [57/100], Step[174/526], Loss: 0.6144
Epoch [57/100], Step[175/526], Loss: 0.6654
Epoch [57/100], Step[176/526], Loss: 0.6342
Epoch [57/100], Step[177/526], Loss: 0.6647
Epoch [57/100], Step[178/526], Loss: 0.6946
Epoch [57/100], Step[179/526], Loss: 0.6235
Epoch [57/100], Step[180/526], Loss: 0.6722
Epoch [57/100], Step[181/526], Loss: 0.6420
Epoch [57/100], Step[182/526], Loss: 0.6797
Epoch [57/100], Step[183/526], Loss: 0.5359
Epoch [57/100], Step[184/526], Loss: 0.5961
Epoch [57/100], Step[185/526], Loss: 0.5922
Epoch [57/100], Step[186/526], Loss: 0.6549
Epoch [57/100], Step[187/526], Loss: 0.7296
Epoch [57/100], Step[188/526], Loss: 0.6916
Epoch [57/100], Step[189/526], Loss: 0.6709
Epoch [57/100], Step[190/526], Loss: 0.6520
Epoch [57/100], Step[191/526], Loss: 0.6935
Epoch [57/100], Step[192/526], Loss: 0.8076
Epoch [57/100], Step[193/526], Loss: 0.6537
Epoch [57/100], Step[194/526], Loss: 0.6143
Epoch [57/100], Step[195/526], Loss: 0.6454
Epoch [57/100], Step[196/526], Loss: 0.7261
Epoch [57/100], Step[197/526], Loss: 0.6792
Epoch [57/100], Step[198/526], Loss: 0.6349
Epoch [57/100], Step[199/526], Loss: 0.7394
Epoch [57/100], Step[200/526], Loss: 0.6819
Epoch [57/100], Step[201/526], Loss: 0.6710
Epoch [57/100], Step[202/526], Loss: 0.7395
Epoch [57/100], Step[203/526], Loss: 0.7048
Epoch [57/100], Step[204/526], Loss: 0.7128
Epoch [57/100], Step[205/526], Loss: 0.6986
Epoch [57/100], Step[206/526], Loss: 0.6832
Epoch [57/100], Step[207/526], Loss: 0.7094
Epoch [57/100], Step[208/526], Loss: 0.6787
Epoch [57/100], Step[209/526], Loss: 0.6794
Epoch [57/100], Step[210/526], Loss: 0.7597
Epoch [57/100], Step[211/526], Loss: 0.6251
Epoch [57/100], Step[212/526], Loss: 0.6857
Epoch [57/100], Step[213/526], Loss: 0.7217
Epoch [57/100], Step[214/526], Loss: 0.7461
Epoch [57/100], Step[215/526], Loss: 0.6958
Epoch [57/100], Step[216/526], Loss: 0.6760
Epoch [57/100], Step[217/526], Loss: 0.6753
Epoch [57/100], Step[218/526], Loss: 0.6959
Epoch [57/100], Step[219/526], Loss: 0.6883
Epoch [57/100], Step[220/526], Loss: 0.7227
Epoch [57/100], Step[221/526], Loss: 0.6982
Epoch [57/100], Step[222/526], Loss: 0.7355
Epoch [57/100], Step[223/526], Loss: 0.6767
Epoch [57/100], Step[224/526], Loss: 0.6791
Epoch [57/100], Step[225/526], Loss: 0.7191
Epoch [57/100], Step[226/526], Loss: 0.6684
Epoch [57/100], Step[227/526], Loss: 0.6605
Epoch [57/100], Step[228/526], Loss: 0.6539
Epoch [57/100], Step[229/526], Loss: 0.6816
Epoch [57/100], Step[230/526], Loss: 0.6584
Epoch [57/100], Step[231/526], Loss: 0.6662
Epoch [57/100], Step[232/526], Loss: 0.7165
Epoch [57/100], Step[233/526], Loss: 0.6811
Epoch [57/100], Step[234/526], Loss: 0.6728
Epoch [57/100], Step[235/526], Loss: 0.7002
Epoch [57/100], Step[236/526], Loss: 0.6948
Epoch [57/100], Step[237/526], Loss: 0.7189
Epoch [57/100], Step[238/526], Loss: 0.6763
Epoch [57/100], Step[239/526], Loss: 0.6665
Epoch [57/100], Step[240/526], Loss: 0.7265
Epoch [57/100], Step[241/526], Loss: 0.6894
Epoch [57/100], Step[242/526], Loss: 0.7108
Epoch [57/100], Step[243/526], Loss: 0.6318
Epoch [57/100], Step[244/526], Loss: 0.6500
Epoch [57/100], Step[245/526], Loss: 0.6405
Epoch [57/100], Step[246/526], Loss: 0.6653
Epoch [57/100], Step[247/526], Loss: 0.6153
Epoch [57/100], Step[248/526], Loss: 0.6529
Epoch [57/100], Step[249/526], Loss: 0.6700
Epoch [57/100], Step[250/526], Loss: 0.6817
Epoch [57/100], Step[251/526], Loss: 0.7027
Epoch [57/100], Step[252/526], Loss: 0.6947
Epoch [57/100], Step[253/526], Loss: 0.6291
Epoch [57/100], Step[254/526], Loss: 0.6669
Epoch [57/100], Step[255/526], Loss: 0.5979
Epoch [57/100], Step[256/526], Loss: 0.6862
Epoch [57/100], Step[257/526], Loss: 0.6546
Epoch [57/100], Step[258/526], Loss: 0.6246
Epoch [57/100], Step[259/526], Loss: 0.6802
Epoch [57/100], Step[260/526], Loss: 0.7518
Epoch [57/100], Step[261/526], Loss: 0.7543
Epoch [57/100], Step[262/526], Loss: 0.6727
Epoch [57/100], Step[263/526], Loss: 0.6617
Epoch [57/100], Step[264/526], Loss: 0.6441
Epoch [57/100], Step[265/526], Loss: 0.6192
Epoch [57/100], Step[266/526], Loss: 0.6250
Epoch [57/100], Step[267/526], Loss: 0.4907
Epoch [57/100], Step[268/526], Loss: 0.5399
Epoch [57/100], Step[269/526], Loss: 0.4491
Epoch [57/100], Step[270/526], Loss: 0.3734
Epoch [57/100], Step[271/526], Loss: 0.5045
Epoch [57/100], Step[272/526], Loss: 0.5245
Epoch [57/100], Step[273/526], Loss: 0.6373
Epoch [57/100], Step[274/526], Loss: 0.4222
Epoch [57/100], Step[275/526], Loss: 0.4090
Epoch [57/100], Step[276/526], Loss: 0.4679
Epoch [57/100], Step[277/526], Loss: 0.4189
Epoch [57/100], Step[278/526], Loss: 0.4475
Epoch [57/100], Step[279/526], Loss: 0.4038
Epoch [57/100], Step[280/526], Loss: 0.4414
Epoch [57/100], Step[281/526], Loss: 0.6310
Epoch [57/100], Step[282/526], Loss: 0.3534
Epoch [57/100], Step[283/526], Loss: 0.3725
Epoch [57/100], Step[284/526], Loss: 0.4023
Epoch [57/100], Step[285/526], Loss: 0.2714
Epoch [57/100], Step[286/526], Loss: 0.7045
Epoch [57/100], Step[287/526], Loss: 0.4798
Epoch [57/100], Step[288/526], Loss: 0.4338
Epoch [57/100], Step[289/526], Loss: 0.6202
Epoch [57/100], Step[290/526], Loss: 0.4233
Epoch [57/100], Step[291/526], Loss: 0.4828
Epoch [57/100], Step[292/526], Loss: 0.2585
Epoch [57/100], Step[293/526], Loss: 0.3043
Epoch [57/100], Step[294/526], Loss: 0.3141
Epoch [57/100], Step[295/526], Loss: 0.4188
Epoch [57/100], Step[296/526], Loss: 0.6246
Epoch [57/100], Step[297/526], Loss: 0.3038
Epoch [57/100], Step[298/526], Loss: 0.2808
Epoch [57/100], Step[299/526], Loss: 0.2354
Epoch [57/100], Step[300/526], Loss: 0.2804
Epoch [57/100], Step[301/526], Loss: 0.6239
Epoch [57/100], Step[302/526], Loss: 0.3236
Epoch [57/100], Step[303/526], Loss: 0.4734
Epoch [57/100], Step[304/526], Loss: 0.2606
Epoch [57/100], Step[305/526], Loss: 0.2567
Epoch [57/100], Step[306/526], Loss: 0.5856
Epoch [57/100], Step[307/526], Loss: 0.8964
Epoch [57/100], Step[308/526], Loss: 1.3251
Epoch [57/100], Step[309/526], Loss: 0.8112
Epoch [57/100], Step[310/526], Loss: 0.9601
Epoch [57/100], Step[311/526], Loss: 0.8246
Epoch [57/100], Step[312/526], Loss: 0.4903
Epoch [57/100], Step[313/526], Loss: 0.4866
Epoch [57/100], Step[314/526], Loss: 0.6573
Epoch [57/100], Step[315/526], Loss: 0.7084
Epoch [57/100], Step[316/526], Loss: 0.4925
Epoch [57/100], Step[317/526], Loss: 0.3236
Epoch [57/100], Step[318/526], Loss: 0.7765
Epoch [57/100], Step[319/526], Loss: 0.3572
Epoch [57/100], Step[320/526], Loss: 0.6244
Epoch [57/100], Step[321/526], Loss: 0.7007
Epoch [57/100], Step[322/526], Loss: 0.2705
Epoch [57/100], Step[323/526], Loss: 0.6172
Epoch [57/100], Step[324/526], Loss: 0.6544
Epoch [57/100], Step[325/526], Loss: 0.5897
Epoch [57/100], Step[326/526], Loss: 0.7510
Epoch [57/100], Step[327/526], Loss: 0.7356
Epoch [57/100], Step[328/526], Loss: 0.9320
Epoch [57/100], Step[329/526], Loss: 1.2808
Epoch [57/100], Step[330/526], Loss: 1.0488
Epoch [57/100], Step[331/526], Loss: 0.7807
Epoch [57/100], Step[332/526], Loss: 0.8290
Epoch [57/100], Step[333/526], Loss: 0.7685
Epoch [57/100], Step[334/526], Loss: 0.7668
Epoch [57/100], Step[335/526], Loss: 0.7792
Epoch [57/100], Step[336/526], Loss: 0.6970
Epoch [57/100], Step[337/526], Loss: 0.5915
Epoch [57/100], Step[338/526], Loss: 0.7023
Epoch [57/100], Step[339/526], Loss: 0.6385
Epoch [57/100], Step[340/526], Loss: 0.7187
Epoch [57/100], Step[341/526], Loss: 0.7643
Epoch [57/100], Step[342/526], Loss: 0.7743
Epoch [57/100], Step[343/526], Loss: 0.5393
Epoch [57/100], Step[344/526], Loss: 0.7287
Epoch [57/100], Step[345/526], Loss: 0.6542
Epoch [57/100], Step[346/526], Loss: 0.6692
Epoch [57/100], Step[347/526], Loss: 0.7127
Epoch [57/100], Step[348/526], Loss: 0.6285
Epoch [57/100], Step[349/526], Loss: 0.5756
Epoch [57/100], Step[350/526], Loss: 0.6709
Epoch [57/100], Step[351/526], Loss: 0.7121
Epoch [57/100], Step[352/526], Loss: 0.6094
Epoch [57/100], Step[353/526], Loss: 0.6837
Epoch [57/100], Step[354/526], Loss: 0.6674
Epoch [57/100], Step[355/526], Loss: 0.6691
Epoch [57/100], Step[356/526], Loss: 0.7010
Epoch [57/100], Step[357/526], Loss: 0.6608
Epoch [57/100], Step[358/526], Loss: 0.6957
Epoch [57/100], Step[359/526], Loss: 0.6494
Epoch [57/100], Step[360/526], Loss: 0.6817
Epoch [57/100], Step[361/526], Loss: 0.7299
Epoch [57/100], Step[362/526], Loss: 0.7074
Epoch [57/100], Step[363/526], Loss: 0.6921
Epoch [57/100], Step[364/526], Loss: 0.7174
Epoch [57/100], Step[365/526], Loss: 0.7215
Epoch [57/100], Step[366/526], Loss: 0.6851
Epoch [57/100], Step[367/526], Loss: 0.6915
Epoch [57/100], Step[368/526], Loss: 0.6490
Epoch [57/100], Step[369/526], Loss: 0.6580
Epoch [57/100], Step[370/526], Loss: 0.5459
Epoch [57/100], Step[371/526], Loss: 0.7378
Epoch [57/100], Step[372/526], Loss: 0.6387
Epoch [57/100], Step[373/526], Loss: 0.6787
Epoch [57/100], Step[374/526], Loss: 0.7067
Epoch [57/100], Step[375/526], Loss: 0.6507
Epoch [57/100], Step[376/526], Loss: 0.6487
Epoch [57/100], Step[377/526], Loss: 0.6926
Epoch [57/100], Step[378/526], Loss: 0.6843
Epoch [57/100], Step[379/526], Loss: 0.7483
Epoch [57/100], Step[380/526], Loss: 0.6095
Epoch [57/100], Step[381/526], Loss: 0.5963
Epoch [57/100], Step[382/526], Loss: 0.6753
Epoch [57/100], Step[383/526], Loss: 0.7184
Epoch [57/100], Step[384/526], Loss: 0.6346
Epoch [57/100], Step[385/526], Loss: 0.6223
Epoch [57/100], Step[386/526], Loss: 0.6723
Epoch [57/100], Step[387/526], Loss: 0.6420
Epoch [57/100], Step[388/526], Loss: 0.5935
Epoch [57/100], Step[389/526], Loss: 0.7206
Epoch [57/100], Step[390/526], Loss: 0.5822
Epoch [57/100], Step[391/526], Loss: 0.6554
Epoch [57/100], Step[392/526], Loss: 0.6981
Epoch [57/100], Step[393/526], Loss: 0.5856
Epoch [57/100], Step[394/526], Loss: 0.5145
Epoch [57/100], Step[395/526], Loss: 0.5968
Epoch [57/100], Step[396/526], Loss: 0.6286
Epoch [57/100], Step[397/526], Loss: 0.4600
Epoch [57/100], Step[398/526], Loss: 0.6026
Epoch [57/100], Step[399/526], Loss: 0.6525
Epoch [57/100], Step[400/526], Loss: 0.4751
Epoch [57/100], Step[401/526], Loss: 0.5967
Epoch [57/100], Step[402/526], Loss: 0.6462
Epoch [57/100], Step[403/526], Loss: 0.7321
Epoch [57/100], Step[404/526], Loss: 0.4819
Epoch [57/100], Step[405/526], Loss: 0.4966
Epoch [57/100], Step[406/526], Loss: 0.6294
Epoch [57/100], Step[407/526], Loss: 0.7884
Epoch [57/100], Step[408/526], Loss: 0.6513
Epoch [57/100], Step[409/526], Loss: 0.4688
Epoch [57/100], Step[410/526], Loss: 0.4926
Epoch [57/100], Step[411/526], Loss: 0.5373
Epoch [57/100], Step[412/526], Loss: 0.5943
Epoch [57/100], Step[413/526], Loss: 0.6011
Epoch [57/100], Step[414/526], Loss: 0.6436
Epoch [57/100], Step[415/526], Loss: 0.6026
Epoch [57/100], Step[416/526], Loss: 0.5525
Epoch [57/100], Step[417/526], Loss: 0.4174
Epoch [57/100], Step[418/526], Loss: 0.7324
Epoch [57/100], Step[419/526], Loss: 0.7034
Epoch [57/100], Step[420/526], Loss: 0.6859
Epoch [57/100], Step[421/526], Loss: 0.6410
Epoch [57/100], Step[422/526], Loss: 0.7426
Epoch [57/100], Step[423/526], Loss: 0.7270
Epoch [57/100], Step[424/526], Loss: 0.7400
Epoch [57/100], Step[425/526], Loss: 0.6722
Epoch [57/100], Step[426/526], Loss: 0.7979
Epoch [57/100], Step[427/526], Loss: 0.7051
Epoch [57/100], Step[428/526], Loss: 0.7121
Epoch [57/100], Step[429/526], Loss: 0.7189
Epoch [57/100], Step[430/526], Loss: 0.7867
Epoch [57/100], Step[431/526], Loss: 0.7065
Epoch [57/100], Step[432/526], Loss: 0.7291
Epoch [57/100], Step[433/526], Loss: 0.6725
Epoch [57/100], Step[434/526], Loss: 0.6124
Epoch [57/100], Step[435/526], Loss: 0.7808
Epoch [57/100], Step[436/526], Loss: 0.8060
Epoch [57/100], Step[437/526], Loss: 0.4856
Epoch [57/100], Step[438/526], Loss: 0.3621
Epoch [57/100], Step[439/526], Loss: 0.7215
Epoch [57/100], Step[440/526], Loss: 0.6890
Epoch [57/100], Step[441/526], Loss: 0.7052
Epoch [57/100], Step[442/526], Loss: 0.6416
Epoch [57/100], Step[443/526], Loss: 0.6712
Epoch [57/100], Step[444/526], Loss: 0.7533
Epoch [57/100], Step[445/526], Loss: 0.7048
Epoch [57/100], Step[446/526], Loss: 0.7118
Epoch [57/100], Step[447/526], Loss: 0.7188
Epoch [57/100], Step[448/526], Loss: 0.7180
Epoch [57/100], Step[449/526], Loss: 0.6729
Epoch [57/100], Step[450/526], Loss: 0.6050
Epoch [57/100], Step[451/526], Loss: 0.6647
Epoch [57/100], Step[452/526], Loss: 0.7236
Epoch [57/100], Step[453/526], Loss: 0.7085
Epoch [57/100], Step[454/526], Loss: 0.8319
Epoch [57/100], Step[455/526], Loss: 0.6789
Epoch [57/100], Step[456/526], Loss: 0.6275
Epoch [57/100], Step[457/526], Loss: 0.7027
Epoch [57/100], Step[458/526], Loss: 0.6766
Epoch [57/100], Step[459/526], Loss: 0.6640
Epoch [57/100], Step[460/526], Loss: 0.6504
Epoch [57/100], Step[461/526], Loss: 0.6135
Epoch [57/100], Step[462/526], Loss: 0.6735
Epoch [57/100], Step[463/526], Loss: 0.6526
Epoch [57/100], Step[464/526], Loss: 0.6361
Epoch [57/100], Step[465/526], Loss: 0.6613
Epoch [57/100], Step[466/526], Loss: 0.6687
Epoch [57/100], Step[467/526], Loss: 0.6495
Epoch [57/100], Step[468/526], Loss: 0.6170
Epoch [57/100], Step[469/526], Loss: 0.8072
Epoch [57/100], Step[470/526], Loss: 0.6584
Epoch [57/100], Step[471/526], Loss: 0.6948
Epoch [57/100], Step[472/526], Loss: 0.6743
Epoch [57/100], Step[473/526], Loss: 0.6799
Epoch [57/100], Step[474/526], Loss: 0.6783
Epoch [57/100], Step[475/526], Loss: 0.8351
Epoch [57/100], Step[476/526], Loss: 0.7432
Epoch [57/100], Step[477/526], Loss: 0.7049
Epoch [57/100], Step[478/526], Loss: 0.6882
Epoch [57/100], Step[479/526], Loss: 0.6590
Epoch [57/100], Step[480/526], Loss: 0.7329
Epoch [57/100], Step[481/526], Loss: 0.7306
Epoch [57/100], Step[482/526], Loss: 0.6165
Epoch [57/100], Step[483/526], Loss: 0.5386
Epoch [57/100], Step[484/526], Loss: 0.7009
Epoch [57/100], Step[485/526], Loss: 0.7753
Epoch [57/100], Step[486/526], Loss: 0.7251
Epoch [57/100], Step[487/526], Loss: 0.7493
Epoch [57/100], Step[488/526], Loss: 0.6900
Epoch [57/100], Step[489/526], Loss: 0.6250
Epoch [57/100], Step[490/526], Loss: 0.6137
Epoch [57/100], Step[491/526], Loss: 0.7018
Epoch [57/100], Step[492/526], Loss: 0.6496
Epoch [57/100], Step[493/526], Loss: 0.6414
Epoch [57/100], Step[494/526], Loss: 0.6617
Epoch [57/100], Step[495/526], Loss: 0.6837
Epoch [57/100], Step[496/526], Loss: 0.6652
Epoch [57/100], Step[497/526], Loss: 0.6362
Epoch [57/100], Step[498/526], Loss: 0.6725
Epoch [57/100], Step[499/526], Loss: 0.6700
Epoch [57/100], Step[500/526], Loss: 0.6882
Epoch [57/100], Step[501/526], Loss: 0.6547
Epoch [57/100], Step[502/526], Loss: 0.6993
Epoch [57/100], Step[503/526], Loss: 0.7132
Epoch [57/100], Step[504/526], Loss: 0.7052
Epoch [57/100], Step[505/526], Loss: 0.7088
Epoch [57/100], Step[506/526], Loss: 0.6663
Epoch [57/100], Step[507/526], Loss: 0.6711
Epoch [57/100], Step[508/526], Loss: 0.6951
Epoch [57/100], Step[509/526], Loss: 0.6457
Epoch [57/100], Step[510/526], Loss: 0.7043
Epoch [57/100], Step[511/526], Loss: 0.6429
Epoch [57/100], Step[512/526], Loss: 0.6732
Epoch [57/100], Step[513/526], Loss: 0.6430
Epoch [57/100], Step[514/526], Loss: 0.6531
Epoch [57/100], Step[515/526], Loss: 0.5725
Epoch [57/100], Step[516/526], Loss: 0.7516
Epoch [57/100], Step[517/526], Loss: 0.6897
Epoch [57/100], Step[518/526], Loss: 0.7307
Epoch [57/100], Step[519/526], Loss: 0.7157
Epoch [57/100], Step[520/526], Loss: 0.6770
Epoch [57/100], Step[521/526], Loss: 0.6568
Epoch [57/100], Step[522/526], Loss: 0.6041
Epoch [57/100], Step[523/526], Loss: 0.6483
Epoch [57/100], Step[524/526], Loss: 0.6317
Epoch [57/100], Step[525/526], Loss: 0.7470
Epoch [57/100], Step[526/526], Loss: 0.7152
Epoch [58/100], Step[1/526], Loss: 0.6589
Epoch [58/100], Step[2/526], Loss: 0.6409
Epoch [58/100], Step[3/526], Loss: 0.6832
Epoch [58/100], Step[4/526], Loss: 0.6317
Epoch [58/100], Step[5/526], Loss: 0.7382
Epoch [58/100], Step[6/526], Loss: 0.7586
Epoch [58/100], Step[7/526], Loss: 0.6927
Epoch [58/100], Step[8/526], Loss: 0.6795
Epoch [58/100], Step[9/526], Loss: 0.7025
Epoch [58/100], Step[10/526], Loss: 0.6554
Epoch [58/100], Step[11/526], Loss: 0.6919
Epoch [58/100], Step[12/526], Loss: 0.7390
Epoch [58/100], Step[13/526], Loss: 0.6066
Epoch [58/100], Step[14/526], Loss: 0.6498
Epoch [58/100], Step[15/526], Loss: 0.6885
Epoch [58/100], Step[16/526], Loss: 0.7001
Epoch [58/100], Step[17/526], Loss: 0.7091
Epoch [58/100], Step[18/526], Loss: 0.6720
Epoch [58/100], Step[19/526], Loss: 0.6872
Epoch [58/100], Step[20/526], Loss: 0.7368
Epoch [58/100], Step[21/526], Loss: 0.7594
Epoch [58/100], Step[22/526], Loss: 0.7320
Epoch [58/100], Step[23/526], Loss: 0.7346
Epoch [58/100], Step[24/526], Loss: 0.7182
Epoch [58/100], Step[25/526], Loss: 0.6929
Epoch [58/100], Step[26/526], Loss: 0.6139
Epoch [58/100], Step[27/526], Loss: 0.6769
Epoch [58/100], Step[28/526], Loss: 0.6797
Epoch [58/100], Step[29/526], Loss: 0.6472
Epoch [58/100], Step[30/526], Loss: 0.6929
Epoch [58/100], Step[31/526], Loss: 0.7069
Epoch [58/100], Step[32/526], Loss: 0.6658
Epoch [58/100], Step[33/526], Loss: 0.7121
Epoch [58/100], Step[34/526], Loss: 0.6948
Epoch [58/100], Step[35/526], Loss: 0.7054
Epoch [58/100], Step[36/526], Loss: 0.7009
Epoch [58/100], Step[37/526], Loss: 0.6909
Epoch [58/100], Step[38/526], Loss: 0.7101
Epoch [58/100], Step[39/526], Loss: 0.6904
Epoch [58/100], Step[40/526], Loss: 0.7075
Epoch [58/100], Step[41/526], Loss: 0.6879
Epoch [58/100], Step[42/526], Loss: 0.7152
Epoch [58/100], Step[43/526], Loss: 0.7322
Epoch [58/100], Step[44/526], Loss: 0.6819
Epoch [58/100], Step[45/526], Loss: 0.6737
Epoch [58/100], Step[46/526], Loss: 0.6824
Epoch [58/100], Step[47/526], Loss: 0.7198
Epoch [58/100], Step[48/526], Loss: 0.7242
Epoch [58/100], Step[49/526], Loss: 0.7008
Epoch [58/100], Step[50/526], Loss: 0.6972
Epoch [58/100], Step[51/526], Loss: 0.6958
Epoch [58/100], Step[52/526], Loss: 0.6665
Epoch [58/100], Step[53/526], Loss: 0.7030
Epoch [58/100], Step[54/526], Loss: 0.7210
Epoch [58/100], Step[55/526], Loss: 0.7156
Epoch [58/100], Step[56/526], Loss: 0.6881
Epoch [58/100], Step[57/526], Loss: 0.6683
Epoch [58/100], Step[58/526], Loss: 0.6769
Epoch [58/100], Step[59/526], Loss: 0.6572
Epoch [58/100], Step[60/526], Loss: 0.6702
Epoch [58/100], Step[61/526], Loss: 0.6619
Epoch [58/100], Step[62/526], Loss: 0.6894
Epoch [58/100], Step[63/526], Loss: 0.6825
Epoch [58/100], Step[64/526], Loss: 0.6837
Epoch [58/100], Step[65/526], Loss: 0.7167
Epoch [58/100], Step[66/526], Loss: 0.6799
Epoch [58/100], Step[67/526], Loss: 0.6402
Epoch [58/100], Step[68/526], Loss: 0.6362
Epoch [58/100], Step[69/526], Loss: 0.7027
Epoch [58/100], Step[70/526], Loss: 0.7059
Epoch [58/100], Step[71/526], Loss: 0.6764
Epoch [58/100], Step[72/526], Loss: 0.6843
Epoch [58/100], Step[73/526], Loss: 0.7174
Epoch [58/100], Step[74/526], Loss: 0.6410
Epoch [58/100], Step[75/526], Loss: 0.6805
Epoch [58/100], Step[76/526], Loss: 0.6603
Epoch [58/100], Step[77/526], Loss: 0.6951
Epoch [58/100], Step[78/526], Loss: 0.7232
Epoch [58/100], Step[79/526], Loss: 0.6854
Epoch [58/100], Step[80/526], Loss: 0.6868
Epoch [58/100], Step[81/526], Loss: 0.6940
Epoch [58/100], Step[82/526], Loss: 0.7357
Epoch [58/100], Step[83/526], Loss: 0.6796
Epoch [58/100], Step[84/526], Loss: 0.6906
Epoch [58/100], Step[85/526], Loss: 0.6401
Epoch [58/100], Step[86/526], Loss: 0.6901
Epoch [58/100], Step[87/526], Loss: 0.6790
Epoch [58/100], Step[88/526], Loss: 0.6923
Epoch [58/100], Step[89/526], Loss: 0.7290
Epoch [58/100], Step[90/526], Loss: 0.7565
Epoch [58/100], Step[91/526], Loss: 0.6621
Epoch [58/100], Step[92/526], Loss: 0.6565
Epoch [58/100], Step[93/526], Loss: 0.6873
Epoch [58/100], Step[94/526], Loss: 0.8132
Epoch [58/100], Step[95/526], Loss: 0.7349
Epoch [58/100], Step[96/526], Loss: 0.6572
Epoch [58/100], Step[97/526], Loss: 0.6088
Epoch [58/100], Step[98/526], Loss: 0.6833
Epoch [58/100], Step[99/526], Loss: 0.6911
Epoch [58/100], Step[100/526], Loss: 0.6572
Epoch [58/100], Step[101/526], Loss: 0.6629
Epoch [58/100], Step[102/526], Loss: 0.6372
Epoch [58/100], Step[103/526], Loss: 0.7097
Epoch [58/100], Step[104/526], Loss: 0.6533
Epoch [58/100], Step[105/526], Loss: 0.6341
Epoch [58/100], Step[106/526], Loss: 0.6838
Epoch [58/100], Step[107/526], Loss: 0.6294
Epoch [58/100], Step[108/526], Loss: 0.5749
Epoch [58/100], Step[109/526], Loss: 0.6634
Epoch [58/100], Step[110/526], Loss: 0.6827
Epoch [58/100], Step[111/526], Loss: 0.5951
Epoch [58/100], Step[112/526], Loss: 0.7335
Epoch [58/100], Step[113/526], Loss: 0.6099
Epoch [58/100], Step[114/526], Loss: 0.6650
Epoch [58/100], Step[115/526], Loss: 0.6029
Epoch [58/100], Step[116/526], Loss: 0.6292
Epoch [58/100], Step[117/526], Loss: 0.6616
Epoch [58/100], Step[118/526], Loss: 0.7498
Epoch [58/100], Step[119/526], Loss: 0.6743
Epoch [58/100], Step[120/526], Loss: 0.6802
Epoch [58/100], Step[121/526], Loss: 0.6887
Epoch [58/100], Step[122/526], Loss: 0.6303
Epoch [58/100], Step[123/526], Loss: 0.6458
Epoch [58/100], Step[124/526], Loss: 0.6691
Epoch [58/100], Step[125/526], Loss: 0.6384
Epoch [58/100], Step[126/526], Loss: 0.7210
Epoch [58/100], Step[127/526], Loss: 0.6696
Epoch [58/100], Step[128/526], Loss: 0.6447
Epoch [58/100], Step[129/526], Loss: 0.6008
Epoch [58/100], Step[130/526], Loss: 0.6219
Epoch [58/100], Step[131/526], Loss: 0.6665
Epoch [58/100], Step[132/526], Loss: 0.7139
Epoch [58/100], Step[133/526], Loss: 0.6706
Epoch [58/100], Step[134/526], Loss: 0.6292
Epoch [58/100], Step[135/526], Loss: 0.6457
Epoch [58/100], Step[136/526], Loss: 0.5690
Epoch [58/100], Step[137/526], Loss: 0.6358
Epoch [58/100], Step[138/526], Loss: 0.6441
Epoch [58/100], Step[139/526], Loss: 0.6930
Epoch [58/100], Step[140/526], Loss: 0.5986
Epoch [58/100], Step[141/526], Loss: 0.6775
Epoch [58/100], Step[142/526], Loss: 0.6663
Epoch [58/100], Step[143/526], Loss: 0.6873
Epoch [58/100], Step[144/526], Loss: 0.7842
Epoch [58/100], Step[145/526], Loss: 0.5480
Epoch [58/100], Step[146/526], Loss: 0.5178
Epoch [58/100], Step[147/526], Loss: 0.4714
Epoch [58/100], Step[148/526], Loss: 0.5987
Epoch [58/100], Step[149/526], Loss: 0.4934
Epoch [58/100], Step[150/526], Loss: 0.5584
Epoch [58/100], Step[151/526], Loss: 0.5514
Epoch [58/100], Step[152/526], Loss: 0.6255
Epoch [58/100], Step[153/526], Loss: 0.6391
Epoch [58/100], Step[154/526], Loss: 0.7094
Epoch [58/100], Step[155/526], Loss: 0.7090
Epoch [58/100], Step[156/526], Loss: 0.5432
Epoch [58/100], Step[157/526], Loss: 0.2729
Epoch [58/100], Step[158/526], Loss: 0.5846
Epoch [58/100], Step[159/526], Loss: 0.6738
Epoch [58/100], Step[160/526], Loss: 0.5457
Epoch [58/100], Step[161/526], Loss: 0.8738
Epoch [58/100], Step[162/526], Loss: 0.7016
Epoch [58/100], Step[163/526], Loss: 0.7113
Epoch [58/100], Step[164/526], Loss: 0.6143
Epoch [58/100], Step[165/526], Loss: 0.6990
Epoch [58/100], Step[166/526], Loss: 0.5095
Epoch [58/100], Step[167/526], Loss: 0.5700
Epoch [58/100], Step[168/526], Loss: 0.7050
Epoch [58/100], Step[169/526], Loss: 0.7601
Epoch [58/100], Step[170/526], Loss: 0.7028
Epoch [58/100], Step[171/526], Loss: 0.7408
Epoch [58/100], Step[172/526], Loss: 0.7074
Epoch [58/100], Step[173/526], Loss: 0.8259
Epoch [58/100], Step[174/526], Loss: 0.6142
Epoch [58/100], Step[175/526], Loss: 0.6629
Epoch [58/100], Step[176/526], Loss: 0.6149
Epoch [58/100], Step[177/526], Loss: 0.6634
Epoch [58/100], Step[178/526], Loss: 0.6837
Epoch [58/100], Step[179/526], Loss: 0.6240
Epoch [58/100], Step[180/526], Loss: 0.6734
Epoch [58/100], Step[181/526], Loss: 0.6429
Epoch [58/100], Step[182/526], Loss: 0.6809
Epoch [58/100], Step[183/526], Loss: 0.5354
Epoch [58/100], Step[184/526], Loss: 0.5975
Epoch [58/100], Step[185/526], Loss: 0.5964
Epoch [58/100], Step[186/526], Loss: 0.6548
Epoch [58/100], Step[187/526], Loss: 0.7290
Epoch [58/100], Step[188/526], Loss: 0.6900
Epoch [58/100], Step[189/526], Loss: 0.6706
Epoch [58/100], Step[190/526], Loss: 0.6501
Epoch [58/100], Step[191/526], Loss: 0.6963
Epoch [58/100], Step[192/526], Loss: 0.8026
Epoch [58/100], Step[193/526], Loss: 0.6560
Epoch [58/100], Step[194/526], Loss: 0.6140
Epoch [58/100], Step[195/526], Loss: 0.6468
Epoch [58/100], Step[196/526], Loss: 0.7284
Epoch [58/100], Step[197/526], Loss: 0.6795
Epoch [58/100], Step[198/526], Loss: 0.6337
Epoch [58/100], Step[199/526], Loss: 0.7392
Epoch [58/100], Step[200/526], Loss: 0.6814
Epoch [58/100], Step[201/526], Loss: 0.6705
Epoch [58/100], Step[202/526], Loss: 0.7382
Epoch [58/100], Step[203/526], Loss: 0.7064
Epoch [58/100], Step[204/526], Loss: 0.7124
Epoch [58/100], Step[205/526], Loss: 0.6994
Epoch [58/100], Step[206/526], Loss: 0.6835
Epoch [58/100], Step[207/526], Loss: 0.7095
Epoch [58/100], Step[208/526], Loss: 0.6783
Epoch [58/100], Step[209/526], Loss: 0.6791
Epoch [58/100], Step[210/526], Loss: 0.7634
Epoch [58/100], Step[211/526], Loss: 0.6230
Epoch [58/100], Step[212/526], Loss: 0.6851
Epoch [58/100], Step[213/526], Loss: 0.7220
Epoch [58/100], Step[214/526], Loss: 0.7479
Epoch [58/100], Step[215/526], Loss: 0.6961
Epoch [58/100], Step[216/526], Loss: 0.6757
Epoch [58/100], Step[217/526], Loss: 0.6752
Epoch [58/100], Step[218/526], Loss: 0.6965
Epoch [58/100], Step[219/526], Loss: 0.6893
Epoch [58/100], Step[220/526], Loss: 0.7251
Epoch [58/100], Step[221/526], Loss: 0.6981
Epoch [58/100], Step[222/526], Loss: 0.7395
Epoch [58/100], Step[223/526], Loss: 0.6767
Epoch [58/100], Step[224/526], Loss: 0.6791
Epoch [58/100], Step[225/526], Loss: 0.7211
Epoch [58/100], Step[226/526], Loss: 0.6703
Epoch [58/100], Step[227/526], Loss: 0.6609
Epoch [58/100], Step[228/526], Loss: 0.6531
Epoch [58/100], Step[229/526], Loss: 0.6797
Epoch [58/100], Step[230/526], Loss: 0.6576
Epoch [58/100], Step[231/526], Loss: 0.6657
Epoch [58/100], Step[232/526], Loss: 0.7170
Epoch [58/100], Step[233/526], Loss: 0.6819
Epoch [58/100], Step[234/526], Loss: 0.6751
Epoch [58/100], Step[235/526], Loss: 0.6996
Epoch [58/100], Step[236/526], Loss: 0.6946
Epoch [58/100], Step[237/526], Loss: 0.7193
Epoch [58/100], Step[238/526], Loss: 0.6789
Epoch [58/100], Step[239/526], Loss: 0.6665
Epoch [58/100], Step[240/526], Loss: 0.7282
Epoch [58/100], Step[241/526], Loss: 0.6901
Epoch [58/100], Step[242/526], Loss: 0.7117
Epoch [58/100], Step[243/526], Loss: 0.6295
Epoch [58/100], Step[244/526], Loss: 0.6492
Epoch [58/100], Step[245/526], Loss: 0.6402
Epoch [58/100], Step[246/526], Loss: 0.6650
Epoch [58/100], Step[247/526], Loss: 0.6149
Epoch [58/100], Step[248/526], Loss: 0.6522
Epoch [58/100], Step[249/526], Loss: 0.6660
Epoch [58/100], Step[250/526], Loss: 0.6806
Epoch [58/100], Step[251/526], Loss: 0.7019
Epoch [58/100], Step[252/526], Loss: 0.6954
Epoch [58/100], Step[253/526], Loss: 0.6290
Epoch [58/100], Step[254/526], Loss: 0.6681
Epoch [58/100], Step[255/526], Loss: 0.5963
Epoch [58/100], Step[256/526], Loss: 0.6877
Epoch [58/100], Step[257/526], Loss: 0.6549
Epoch [58/100], Step[258/526], Loss: 0.6235
Epoch [58/100], Step[259/526], Loss: 0.6811
Epoch [58/100], Step[260/526], Loss: 0.7526
Epoch [58/100], Step[261/526], Loss: 0.7549
Epoch [58/100], Step[262/526], Loss: 0.6771
Epoch [58/100], Step[263/526], Loss: 0.6602
Epoch [58/100], Step[264/526], Loss: 0.6301
Epoch [58/100], Step[265/526], Loss: 0.6164
Epoch [58/100], Step[266/526], Loss: 0.6230
Epoch [58/100], Step[267/526], Loss: 0.4895
Epoch [58/100], Step[268/526], Loss: 0.5396
Epoch [58/100], Step[269/526], Loss: 0.4480
Epoch [58/100], Step[270/526], Loss: 0.3726
Epoch [58/100], Step[271/526], Loss: 0.5049
Epoch [58/100], Step[272/526], Loss: 0.5237
Epoch [58/100], Step[273/526], Loss: 0.6370
Epoch [58/100], Step[274/526], Loss: 0.4229
Epoch [58/100], Step[275/526], Loss: 0.4101
Epoch [58/100], Step[276/526], Loss: 0.4685
Epoch [58/100], Step[277/526], Loss: 0.4188
Epoch [58/100], Step[278/526], Loss: 0.4472
Epoch [58/100], Step[279/526], Loss: 0.4049
Epoch [58/100], Step[280/526], Loss: 0.4419
Epoch [58/100], Step[281/526], Loss: 0.6306
Epoch [58/100], Step[282/526], Loss: 0.3531
Epoch [58/100], Step[283/526], Loss: 0.3667
Epoch [58/100], Step[284/526], Loss: 0.4035
Epoch [58/100], Step[285/526], Loss: 0.2715
Epoch [58/100], Step[286/526], Loss: 0.7005
Epoch [58/100], Step[287/526], Loss: 0.4804
Epoch [58/100], Step[288/526], Loss: 0.4324
Epoch [58/100], Step[289/526], Loss: 0.6194
Epoch [58/100], Step[290/526], Loss: 0.4247
Epoch [58/100], Step[291/526], Loss: 0.4818
Epoch [58/100], Step[292/526], Loss: 0.2602
Epoch [58/100], Step[293/526], Loss: 0.3049
Epoch [58/100], Step[294/526], Loss: 0.3148
Epoch [58/100], Step[295/526], Loss: 0.4220
Epoch [58/100], Step[296/526], Loss: 0.6249
Epoch [58/100], Step[297/526], Loss: 0.3088
Epoch [58/100], Step[298/526], Loss: 0.2834
Epoch [58/100], Step[299/526], Loss: 0.2360
Epoch [58/100], Step[300/526], Loss: 0.2842
Epoch [58/100], Step[301/526], Loss: 0.6244
Epoch [58/100], Step[302/526], Loss: 0.3252
Epoch [58/100], Step[303/526], Loss: 0.4736
Epoch [58/100], Step[304/526], Loss: 0.2614
Epoch [58/100], Step[305/526], Loss: 0.2601
Epoch [58/100], Step[306/526], Loss: 0.5875
Epoch [58/100], Step[307/526], Loss: 0.8959
Epoch [58/100], Step[308/526], Loss: 1.3228
Epoch [58/100], Step[309/526], Loss: 0.8290
Epoch [58/100], Step[310/526], Loss: 0.9548
Epoch [58/100], Step[311/526], Loss: 0.8213
Epoch [58/100], Step[312/526], Loss: 0.4907
Epoch [58/100], Step[313/526], Loss: 0.4851
Epoch [58/100], Step[314/526], Loss: 0.6559
Epoch [58/100], Step[315/526], Loss: 0.7088
Epoch [58/100], Step[316/526], Loss: 0.4923
Epoch [58/100], Step[317/526], Loss: 0.3238
Epoch [58/100], Step[318/526], Loss: 0.7767
Epoch [58/100], Step[319/526], Loss: 0.3575
Epoch [58/100], Step[320/526], Loss: 0.6288
Epoch [58/100], Step[321/526], Loss: 0.7011
Epoch [58/100], Step[322/526], Loss: 0.2704
Epoch [58/100], Step[323/526], Loss: 0.6174
Epoch [58/100], Step[324/526], Loss: 0.6572
Epoch [58/100], Step[325/526], Loss: 0.5901
Epoch [58/100], Step[326/526], Loss: 0.7516
Epoch [58/100], Step[327/526], Loss: 0.7333
Epoch [58/100], Step[328/526], Loss: 0.9388
Epoch [58/100], Step[329/526], Loss: 1.2822
Epoch [58/100], Step[330/526], Loss: 1.0493
Epoch [58/100], Step[331/526], Loss: 0.7809
Epoch [58/100], Step[332/526], Loss: 0.8312
Epoch [58/100], Step[333/526], Loss: 0.7704
Epoch [58/100], Step[334/526], Loss: 0.7685
Epoch [58/100], Step[335/526], Loss: 0.7812
Epoch [58/100], Step[336/526], Loss: 0.6977
Epoch [58/100], Step[337/526], Loss: 0.5916
Epoch [58/100], Step[338/526], Loss: 0.7044
Epoch [58/100], Step[339/526], Loss: 0.6387
Epoch [58/100], Step[340/526], Loss: 0.7189
Epoch [58/100], Step[341/526], Loss: 0.7615
Epoch [58/100], Step[342/526], Loss: 0.7768
Epoch [58/100], Step[343/526], Loss: 0.5390
Epoch [58/100], Step[344/526], Loss: 0.7298
Epoch [58/100], Step[345/526], Loss: 0.6520
Epoch [58/100], Step[346/526], Loss: 0.6698
Epoch [58/100], Step[347/526], Loss: 0.7118
Epoch [58/100], Step[348/526], Loss: 0.6294
Epoch [58/100], Step[349/526], Loss: 0.5734
Epoch [58/100], Step[350/526], Loss: 0.6713
Epoch [58/100], Step[351/526], Loss: 0.7125
Epoch [58/100], Step[352/526], Loss: 0.6107
Epoch [58/100], Step[353/526], Loss: 0.6839
Epoch [58/100], Step[354/526], Loss: 0.6669
Epoch [58/100], Step[355/526], Loss: 0.6692
Epoch [58/100], Step[356/526], Loss: 0.7009
Epoch [58/100], Step[357/526], Loss: 0.6606
Epoch [58/100], Step[358/526], Loss: 0.6956
Epoch [58/100], Step[359/526], Loss: 0.6467
Epoch [58/100], Step[360/526], Loss: 0.6811
Epoch [58/100], Step[361/526], Loss: 0.7297
Epoch [58/100], Step[362/526], Loss: 0.7073
Epoch [58/100], Step[363/526], Loss: 0.6921
Epoch [58/100], Step[364/526], Loss: 0.7187
Epoch [58/100], Step[365/526], Loss: 0.7227
Epoch [58/100], Step[366/526], Loss: 0.6848
Epoch [58/100], Step[367/526], Loss: 0.6911
Epoch [58/100], Step[368/526], Loss: 0.6490
Epoch [58/100], Step[369/526], Loss: 0.6577
Epoch [58/100], Step[370/526], Loss: 0.5432
Epoch [58/100], Step[371/526], Loss: 0.7380
Epoch [58/100], Step[372/526], Loss: 0.6395
Epoch [58/100], Step[373/526], Loss: 0.6797
Epoch [58/100], Step[374/526], Loss: 0.7072
Epoch [58/100], Step[375/526], Loss: 0.6508
Epoch [58/100], Step[376/526], Loss: 0.6585
Epoch [58/100], Step[377/526], Loss: 0.6925
Epoch [58/100], Step[378/526], Loss: 0.6893
Epoch [58/100], Step[379/526], Loss: 0.7474
Epoch [58/100], Step[380/526], Loss: 0.6092
Epoch [58/100], Step[381/526], Loss: 0.5963
Epoch [58/100], Step[382/526], Loss: 0.6755
Epoch [58/100], Step[383/526], Loss: 0.7015
Epoch [58/100], Step[384/526], Loss: 0.6355
Epoch [58/100], Step[385/526], Loss: 0.6214
Epoch [58/100], Step[386/526], Loss: 0.6724
Epoch [58/100], Step[387/526], Loss: 0.6486
Epoch [58/100], Step[388/526], Loss: 0.6012
Epoch [58/100], Step[389/526], Loss: 0.7181
Epoch [58/100], Step[390/526], Loss: 0.5805
Epoch [58/100], Step[391/526], Loss: 0.6547
Epoch [58/100], Step[392/526], Loss: 0.6976
Epoch [58/100], Step[393/526], Loss: 0.5849
Epoch [58/100], Step[394/526], Loss: 0.5131
Epoch [58/100], Step[395/526], Loss: 0.5942
Epoch [58/100], Step[396/526], Loss: 0.6278
Epoch [58/100], Step[397/526], Loss: 0.4639
Epoch [58/100], Step[398/526], Loss: 0.6032
Epoch [58/100], Step[399/526], Loss: 0.6538
Epoch [58/100], Step[400/526], Loss: 0.4719
Epoch [58/100], Step[401/526], Loss: 0.6030
Epoch [58/100], Step[402/526], Loss: 0.6382
Epoch [58/100], Step[403/526], Loss: 0.7389
Epoch [58/100], Step[404/526], Loss: 0.4805
Epoch [58/100], Step[405/526], Loss: 0.5034
Epoch [58/100], Step[406/526], Loss: 0.6294
Epoch [58/100], Step[407/526], Loss: 0.7591
Epoch [58/100], Step[408/526], Loss: 0.6536
Epoch [58/100], Step[409/526], Loss: 0.4764
Epoch [58/100], Step[410/526], Loss: 0.4894
Epoch [58/100], Step[411/526], Loss: 0.5358
Epoch [58/100], Step[412/526], Loss: 0.5949
Epoch [58/100], Step[413/526], Loss: 0.6014
Epoch [58/100], Step[414/526], Loss: 0.6436
Epoch [58/100], Step[415/526], Loss: 0.6046
Epoch [58/100], Step[416/526], Loss: 0.5450
Epoch [58/100], Step[417/526], Loss: 0.4401
Epoch [58/100], Step[418/526], Loss: 0.7372
Epoch [58/100], Step[419/526], Loss: 0.6890
Epoch [58/100], Step[420/526], Loss: 0.6804
Epoch [58/100], Step[421/526], Loss: 0.6454
Epoch [58/100], Step[422/526], Loss: 0.7666
Epoch [58/100], Step[423/526], Loss: 0.6916
Epoch [58/100], Step[424/526], Loss: 0.7398
Epoch [58/100], Step[425/526], Loss: 0.6884
Epoch [58/100], Step[426/526], Loss: 0.7842
Epoch [58/100], Step[427/526], Loss: 0.7059
Epoch [58/100], Step[428/526], Loss: 0.7133
Epoch [58/100], Step[429/526], Loss: 0.7251
Epoch [58/100], Step[430/526], Loss: 0.7901
Epoch [58/100], Step[431/526], Loss: 0.7044
Epoch [58/100], Step[432/526], Loss: 0.7299
Epoch [58/100], Step[433/526], Loss: 0.6771
Epoch [58/100], Step[434/526], Loss: 0.6107
Epoch [58/100], Step[435/526], Loss: 0.7804
Epoch [58/100], Step[436/526], Loss: 0.8087
Epoch [58/100], Step[437/526], Loss: 0.4852
Epoch [58/100], Step[438/526], Loss: 0.3579
Epoch [58/100], Step[439/526], Loss: 0.7234
Epoch [58/100], Step[440/526], Loss: 0.6849
Epoch [58/100], Step[441/526], Loss: 0.6950
Epoch [58/100], Step[442/526], Loss: 0.6402
Epoch [58/100], Step[443/526], Loss: 0.6697
Epoch [58/100], Step[444/526], Loss: 0.7525
Epoch [58/100], Step[445/526], Loss: 0.7058
Epoch [58/100], Step[446/526], Loss: 0.7310
Epoch [58/100], Step[447/526], Loss: 0.7203
Epoch [58/100], Step[448/526], Loss: 0.7182
Epoch [58/100], Step[449/526], Loss: 0.6733
Epoch [58/100], Step[450/526], Loss: 0.6037
Epoch [58/100], Step[451/526], Loss: 0.6599
Epoch [58/100], Step[452/526], Loss: 0.7231
Epoch [58/100], Step[453/526], Loss: 0.7167
Epoch [58/100], Step[454/526], Loss: 0.8317
Epoch [58/100], Step[455/526], Loss: 0.6647
Epoch [58/100], Step[456/526], Loss: 0.6333
Epoch [58/100], Step[457/526], Loss: 0.7051
Epoch [58/100], Step[458/526], Loss: 0.6875
Epoch [58/100], Step[459/526], Loss: 0.6610
Epoch [58/100], Step[460/526], Loss: 0.6505
Epoch [58/100], Step[461/526], Loss: 0.6155
Epoch [58/100], Step[462/526], Loss: 0.6714
Epoch [58/100], Step[463/526], Loss: 0.6535
Epoch [58/100], Step[464/526], Loss: 0.6381
Epoch [58/100], Step[465/526], Loss: 0.6605
Epoch [58/100], Step[466/526], Loss: 0.6736
Epoch [58/100], Step[467/526], Loss: 0.6450
Epoch [58/100], Step[468/526], Loss: 0.6170
Epoch [58/100], Step[469/526], Loss: 0.8078
Epoch [58/100], Step[470/526], Loss: 0.6597
Epoch [58/100], Step[471/526], Loss: 0.6918
Epoch [58/100], Step[472/526], Loss: 0.6760
Epoch [58/100], Step[473/526], Loss: 0.6785
Epoch [58/100], Step[474/526], Loss: 0.6779
Epoch [58/100], Step[475/526], Loss: 0.8364
Epoch [58/100], Step[476/526], Loss: 0.7435
Epoch [58/100], Step[477/526], Loss: 0.7054
Epoch [58/100], Step[478/526], Loss: 0.6858
Epoch [58/100], Step[479/526], Loss: 0.6575
Epoch [58/100], Step[480/526], Loss: 0.7323
Epoch [58/100], Step[481/526], Loss: 0.7329
Epoch [58/100], Step[482/526], Loss: 0.6210
Epoch [58/100], Step[483/526], Loss: 0.5407
Epoch [58/100], Step[484/526], Loss: 0.6983
Epoch [58/100], Step[485/526], Loss: 0.7716
Epoch [58/100], Step[486/526], Loss: 0.7254
Epoch [58/100], Step[487/526], Loss: 0.7519
Epoch [58/100], Step[488/526], Loss: 0.6900
Epoch [58/100], Step[489/526], Loss: 0.6113
Epoch [58/100], Step[490/526], Loss: 0.6149
Epoch [58/100], Step[491/526], Loss: 0.7014
Epoch [58/100], Step[492/526], Loss: 0.6476
Epoch [58/100], Step[493/526], Loss: 0.6411
Epoch [58/100], Step[494/526], Loss: 0.6612
Epoch [58/100], Step[495/526], Loss: 0.6845
Epoch [58/100], Step[496/526], Loss: 0.6660
Epoch [58/100], Step[497/526], Loss: 0.6370
Epoch [58/100], Step[498/526], Loss: 0.6717
Epoch [58/100], Step[499/526], Loss: 0.6718
Epoch [58/100], Step[500/526], Loss: 0.6882
Epoch [58/100], Step[501/526], Loss: 0.6550
Epoch [58/100], Step[502/526], Loss: 0.6973
Epoch [58/100], Step[503/526], Loss: 0.7135
Epoch [58/100], Step[504/526], Loss: 0.7027
Epoch [58/100], Step[505/526], Loss: 0.7090
Epoch [58/100], Step[506/526], Loss: 0.6685
Epoch [58/100], Step[507/526], Loss: 0.6709
Epoch [58/100], Step[508/526], Loss: 0.6951
Epoch [58/100], Step[509/526], Loss: 0.6458
Epoch [58/100], Step[510/526], Loss: 0.7024
Epoch [58/100], Step[511/526], Loss: 0.6426
Epoch [58/100], Step[512/526], Loss: 0.6736
Epoch [58/100], Step[513/526], Loss: 0.6451
Epoch [58/100], Step[514/526], Loss: 0.6538
Epoch [58/100], Step[515/526], Loss: 0.5707
Epoch [58/100], Step[516/526], Loss: 0.7509
Epoch [58/100], Step[517/526], Loss: 0.6902
Epoch [58/100], Step[518/526], Loss: 0.7302
Epoch [58/100], Step[519/526], Loss: 0.7157
Epoch [58/100], Step[520/526], Loss: 0.6764
Epoch [58/100], Step[521/526], Loss: 0.6176
Epoch [58/100], Step[522/526], Loss: 0.6026
Epoch [58/100], Step[523/526], Loss: 0.6475
Epoch [58/100], Step[524/526], Loss: 0.6299
Epoch [58/100], Step[525/526], Loss: 0.7444
Epoch [58/100], Step[526/526], Loss: 0.7226
Epoch [59/100], Step[1/526], Loss: 0.6384
Epoch [59/100], Step[2/526], Loss: 0.6405
Epoch [59/100], Step[3/526], Loss: 0.6585
Epoch [59/100], Step[4/526], Loss: 0.6342
Epoch [59/100], Step[5/526], Loss: 0.7390
Epoch [59/100], Step[6/526], Loss: 0.7621
Epoch [59/100], Step[7/526], Loss: 0.6916
Epoch [59/100], Step[8/526], Loss: 0.6831
Epoch [59/100], Step[9/526], Loss: 0.7008
Epoch [59/100], Step[10/526], Loss: 0.6551
Epoch [59/100], Step[11/526], Loss: 0.6957
Epoch [59/100], Step[12/526], Loss: 0.7455
Epoch [59/100], Step[13/526], Loss: 0.5896
Epoch [59/100], Step[14/526], Loss: 0.6208
Epoch [59/100], Step[15/526], Loss: 0.6859
Epoch [59/100], Step[16/526], Loss: 0.7004
Epoch [59/100], Step[17/526], Loss: 0.7078
Epoch [59/100], Step[18/526], Loss: 0.6900
Epoch [59/100], Step[19/526], Loss: 0.6684
Epoch [59/100], Step[20/526], Loss: 0.7587
Epoch [59/100], Step[21/526], Loss: 0.8045
Epoch [59/100], Step[22/526], Loss: 0.7253
Epoch [59/100], Step[23/526], Loss: 0.7596
Epoch [59/100], Step[24/526], Loss: 0.7186
Epoch [59/100], Step[25/526], Loss: 0.7059
Epoch [59/100], Step[26/526], Loss: 0.6072
Epoch [59/100], Step[27/526], Loss: 0.6782
Epoch [59/100], Step[28/526], Loss: 0.6715
Epoch [59/100], Step[29/526], Loss: 0.6505
Epoch [59/100], Step[30/526], Loss: 0.6921
Epoch [59/100], Step[31/526], Loss: 0.7093
Epoch [59/100], Step[32/526], Loss: 0.6696
Epoch [59/100], Step[33/526], Loss: 0.7201
Epoch [59/100], Step[34/526], Loss: 0.7000
Epoch [59/100], Step[35/526], Loss: 0.7101
Epoch [59/100], Step[36/526], Loss: 0.7107
Epoch [59/100], Step[37/526], Loss: 0.6881
Epoch [59/100], Step[38/526], Loss: 0.7084
Epoch [59/100], Step[39/526], Loss: 0.6878
Epoch [59/100], Step[40/526], Loss: 0.6987
Epoch [59/100], Step[41/526], Loss: 0.6687
Epoch [59/100], Step[42/526], Loss: 0.7272
Epoch [59/100], Step[43/526], Loss: 0.7184
Epoch [59/100], Step[44/526], Loss: 0.6885
Epoch [59/100], Step[45/526], Loss: 0.6914
Epoch [59/100], Step[46/526], Loss: 0.6891
Epoch [59/100], Step[47/526], Loss: 0.7012
Epoch [59/100], Step[48/526], Loss: 0.7206
Epoch [59/100], Step[49/526], Loss: 0.7016
Epoch [59/100], Step[50/526], Loss: 0.6855
Epoch [59/100], Step[51/526], Loss: 0.6941
Epoch [59/100], Step[52/526], Loss: 0.6755
Epoch [59/100], Step[53/526], Loss: 0.7031
Epoch [59/100], Step[54/526], Loss: 0.7140
Epoch [59/100], Step[55/526], Loss: 0.7317
Epoch [59/100], Step[56/526], Loss: 0.6859
Epoch [59/100], Step[57/526], Loss: 0.6810
Epoch [59/100], Step[58/526], Loss: 0.6959
Epoch [59/100], Step[59/526], Loss: 0.6466
Epoch [59/100], Step[60/526], Loss: 0.6742
Epoch [59/100], Step[61/526], Loss: 0.6728
Epoch [59/100], Step[62/526], Loss: 0.6991
Epoch [59/100], Step[63/526], Loss: 0.6834
Epoch [59/100], Step[64/526], Loss: 0.6701
Epoch [59/100], Step[65/526], Loss: 0.7469
Epoch [59/100], Step[66/526], Loss: 0.6833
Epoch [59/100], Step[67/526], Loss: 0.6432
Epoch [59/100], Step[68/526], Loss: 0.6525
Epoch [59/100], Step[69/526], Loss: 0.6916
Epoch [59/100], Step[70/526], Loss: 0.6915
Epoch [59/100], Step[71/526], Loss: 0.6729
Epoch [59/100], Step[72/526], Loss: 0.6841
Epoch [59/100], Step[73/526], Loss: 0.7157
Epoch [59/100], Step[74/526], Loss: 0.6365
Epoch [59/100], Step[75/526], Loss: 0.6759
Epoch [59/100], Step[76/526], Loss: 0.6557
Epoch [59/100], Step[77/526], Loss: 0.6985
Epoch [59/100], Step[78/526], Loss: 0.7388
Epoch [59/100], Step[79/526], Loss: 0.6748
Epoch [59/100], Step[80/526], Loss: 0.6837
Epoch [59/100], Step[81/526], Loss: 0.6771
Epoch [59/100], Step[82/526], Loss: 0.7141
Epoch [59/100], Step[83/526], Loss: 0.6681
Epoch [59/100], Step[84/526], Loss: 0.6535
Epoch [59/100], Step[85/526], Loss: 0.6026
Epoch [59/100], Step[86/526], Loss: 0.7738
Epoch [59/100], Step[87/526], Loss: 0.6352
Epoch [59/100], Step[88/526], Loss: 0.7008
Epoch [59/100], Step[89/526], Loss: 0.7712
Epoch [59/100], Step[90/526], Loss: 0.8244
Epoch [59/100], Step[91/526], Loss: 0.6422
Epoch [59/100], Step[92/526], Loss: 0.6354
Epoch [59/100], Step[93/526], Loss: 0.7068
Epoch [59/100], Step[94/526], Loss: 0.8090
Epoch [59/100], Step[95/526], Loss: 0.7294
Epoch [59/100], Step[96/526], Loss: 0.6794
Epoch [59/100], Step[97/526], Loss: 0.6158
Epoch [59/100], Step[98/526], Loss: 0.6763
Epoch [59/100], Step[99/526], Loss: 0.6967
Epoch [59/100], Step[100/526], Loss: 0.6442
Epoch [59/100], Step[101/526], Loss: 0.6764
Epoch [59/100], Step[102/526], Loss: 0.6608
Epoch [59/100], Step[103/526], Loss: 0.7518
Epoch [59/100], Step[104/526], Loss: 0.6786
Epoch [59/100], Step[105/526], Loss: 0.6413
Epoch [59/100], Step[106/526], Loss: 0.6801
Epoch [59/100], Step[107/526], Loss: 0.6251
Epoch [59/100], Step[108/526], Loss: 0.5754
Epoch [59/100], Step[109/526], Loss: 0.6537
Epoch [59/100], Step[110/526], Loss: 0.6692
Epoch [59/100], Step[111/526], Loss: 0.6196
Epoch [59/100], Step[112/526], Loss: 0.7223
Epoch [59/100], Step[113/526], Loss: 0.6178
Epoch [59/100], Step[114/526], Loss: 0.6705
Epoch [59/100], Step[115/526], Loss: 0.6056
Epoch [59/100], Step[116/526], Loss: 0.6273
Epoch [59/100], Step[117/526], Loss: 0.6616
Epoch [59/100], Step[118/526], Loss: 0.7474
Epoch [59/100], Step[119/526], Loss: 0.6735
Epoch [59/100], Step[120/526], Loss: 0.6760
Epoch [59/100], Step[121/526], Loss: 0.6889
Epoch [59/100], Step[122/526], Loss: 0.6301
Epoch [59/100], Step[123/526], Loss: 0.6464
Epoch [59/100], Step[124/526], Loss: 0.6687
Epoch [59/100], Step[125/526], Loss: 0.6391
Epoch [59/100], Step[126/526], Loss: 0.7248
Epoch [59/100], Step[127/526], Loss: 0.6709
Epoch [59/100], Step[128/526], Loss: 0.6470
Epoch [59/100], Step[129/526], Loss: 0.6033
Epoch [59/100], Step[130/526], Loss: 0.6328
Epoch [59/100], Step[131/526], Loss: 0.6657
Epoch [59/100], Step[132/526], Loss: 0.7114
Epoch [59/100], Step[133/526], Loss: 0.6651
Epoch [59/100], Step[134/526], Loss: 0.6245
Epoch [59/100], Step[135/526], Loss: 0.6423
Epoch [59/100], Step[136/526], Loss: 0.5700
Epoch [59/100], Step[137/526], Loss: 0.6292
Epoch [59/100], Step[138/526], Loss: 0.6477
Epoch [59/100], Step[139/526], Loss: 0.6928
Epoch [59/100], Step[140/526], Loss: 0.5997
Epoch [59/100], Step[141/526], Loss: 0.6800
Epoch [59/100], Step[142/526], Loss: 0.6658
Epoch [59/100], Step[143/526], Loss: 0.6850
Epoch [59/100], Step[144/526], Loss: 0.7842
Epoch [59/100], Step[145/526], Loss: 0.5433
Epoch [59/100], Step[146/526], Loss: 0.5201
Epoch [59/100], Step[147/526], Loss: 0.4768
Epoch [59/100], Step[148/526], Loss: 0.6005
Epoch [59/100], Step[149/526], Loss: 0.5048
Epoch [59/100], Step[150/526], Loss: 0.5596
Epoch [59/100], Step[151/526], Loss: 0.5577
Epoch [59/100], Step[152/526], Loss: 0.6269
Epoch [59/100], Step[153/526], Loss: 0.6439
Epoch [59/100], Step[154/526], Loss: 0.7083
Epoch [59/100], Step[155/526], Loss: 0.7013
Epoch [59/100], Step[156/526], Loss: 0.5481
Epoch [59/100], Step[157/526], Loss: 0.2797
Epoch [59/100], Step[158/526], Loss: 0.5896
Epoch [59/100], Step[159/526], Loss: 0.6699
Epoch [59/100], Step[160/526], Loss: 0.5506
Epoch [59/100], Step[161/526], Loss: 0.8497
Epoch [59/100], Step[162/526], Loss: 0.7041
Epoch [59/100], Step[163/526], Loss: 0.7103
Epoch [59/100], Step[164/526], Loss: 0.6137
Epoch [59/100], Step[165/526], Loss: 0.6966
Epoch [59/100], Step[166/526], Loss: 0.5169
Epoch [59/100], Step[167/526], Loss: 0.5775
Epoch [59/100], Step[168/526], Loss: 0.7056
Epoch [59/100], Step[169/526], Loss: 0.7560
Epoch [59/100], Step[170/526], Loss: 0.7046
Epoch [59/100], Step[171/526], Loss: 0.7458
Epoch [59/100], Step[172/526], Loss: 0.7071
Epoch [59/100], Step[173/526], Loss: 0.8275
Epoch [59/100], Step[174/526], Loss: 0.6167
Epoch [59/100], Step[175/526], Loss: 0.6686
Epoch [59/100], Step[176/526], Loss: 0.6133
Epoch [59/100], Step[177/526], Loss: 0.6618
Epoch [59/100], Step[178/526], Loss: 0.6840
Epoch [59/100], Step[179/526], Loss: 0.6229
Epoch [59/100], Step[180/526], Loss: 0.6712
Epoch [59/100], Step[181/526], Loss: 0.6435
Epoch [59/100], Step[182/526], Loss: 0.6809
Epoch [59/100], Step[183/526], Loss: 0.5387
Epoch [59/100], Step[184/526], Loss: 0.5992
Epoch [59/100], Step[185/526], Loss: 0.5984
Epoch [59/100], Step[186/526], Loss: 0.6519
Epoch [59/100], Step[187/526], Loss: 0.7330
Epoch [59/100], Step[188/526], Loss: 0.6906
Epoch [59/100], Step[189/526], Loss: 0.6699
Epoch [59/100], Step[190/526], Loss: 0.6463
Epoch [59/100], Step[191/526], Loss: 0.6913
Epoch [59/100], Step[192/526], Loss: 0.7975
Epoch [59/100], Step[193/526], Loss: 0.6533
Epoch [59/100], Step[194/526], Loss: 0.6137
Epoch [59/100], Step[195/526], Loss: 0.6452
Epoch [59/100], Step[196/526], Loss: 0.7255
Epoch [59/100], Step[197/526], Loss: 0.6775
Epoch [59/100], Step[198/526], Loss: 0.6352
Epoch [59/100], Step[199/526], Loss: 0.7399
Epoch [59/100], Step[200/526], Loss: 0.6819
Epoch [59/100], Step[201/526], Loss: 0.6689
Epoch [59/100], Step[202/526], Loss: 0.7362
Epoch [59/100], Step[203/526], Loss: 0.7052
Epoch [59/100], Step[204/526], Loss: 0.7124
Epoch [59/100], Step[205/526], Loss: 0.6975
Epoch [59/100], Step[206/526], Loss: 0.6838
Epoch [59/100], Step[207/526], Loss: 0.7071
Epoch [59/100], Step[208/526], Loss: 0.6792
Epoch [59/100], Step[209/526], Loss: 0.6784
Epoch [59/100], Step[210/526], Loss: 0.7563
Epoch [59/100], Step[211/526], Loss: 0.6246
Epoch [59/100], Step[212/526], Loss: 0.6860
Epoch [59/100], Step[213/526], Loss: 0.7224
Epoch [59/100], Step[214/526], Loss: 0.7442
Epoch [59/100], Step[215/526], Loss: 0.6943
Epoch [59/100], Step[216/526], Loss: 0.6762
Epoch [59/100], Step[217/526], Loss: 0.6730
Epoch [59/100], Step[218/526], Loss: 0.6962
Epoch [59/100], Step[219/526], Loss: 0.6881
Epoch [59/100], Step[220/526], Loss: 0.7220
Epoch [59/100], Step[221/526], Loss: 0.6961
Epoch [59/100], Step[222/526], Loss: 0.7342
Epoch [59/100], Step[223/526], Loss: 0.6778
Epoch [59/100], Step[224/526], Loss: 0.6806
Epoch [59/100], Step[225/526], Loss: 0.7185
Epoch [59/100], Step[226/526], Loss: 0.6707
Epoch [59/100], Step[227/526], Loss: 0.6620
Epoch [59/100], Step[228/526], Loss: 0.6564
Epoch [59/100], Step[229/526], Loss: 0.6808
Epoch [59/100], Step[230/526], Loss: 0.6593
Epoch [59/100], Step[231/526], Loss: 0.6660
Epoch [59/100], Step[232/526], Loss: 0.7143
Epoch [59/100], Step[233/526], Loss: 0.6828
Epoch [59/100], Step[234/526], Loss: 0.6750
Epoch [59/100], Step[235/526], Loss: 0.6996
Epoch [59/100], Step[236/526], Loss: 0.6945
Epoch [59/100], Step[237/526], Loss: 0.7178
Epoch [59/100], Step[238/526], Loss: 0.6793
Epoch [59/100], Step[239/526], Loss: 0.6660
Epoch [59/100], Step[240/526], Loss: 0.7291
Epoch [59/100], Step[241/526], Loss: 0.6906
Epoch [59/100], Step[242/526], Loss: 0.7095
Epoch [59/100], Step[243/526], Loss: 0.6307
Epoch [59/100], Step[244/526], Loss: 0.6494
Epoch [59/100], Step[245/526], Loss: 0.6395
Epoch [59/100], Step[246/526], Loss: 0.6639
Epoch [59/100], Step[247/526], Loss: 0.6161
Epoch [59/100], Step[248/526], Loss: 0.6555
Epoch [59/100], Step[249/526], Loss: 0.6656
Epoch [59/100], Step[250/526], Loss: 0.6814
Epoch [59/100], Step[251/526], Loss: 0.7048
Epoch [59/100], Step[252/526], Loss: 0.6959
Epoch [59/100], Step[253/526], Loss: 0.6296
Epoch [59/100], Step[254/526], Loss: 0.6672
Epoch [59/100], Step[255/526], Loss: 0.5968
Epoch [59/100], Step[256/526], Loss: 0.6902
Epoch [59/100], Step[257/526], Loss: 0.6569
Epoch [59/100], Step[258/526], Loss: 0.6256
Epoch [59/100], Step[259/526], Loss: 0.6822
Epoch [59/100], Step[260/526], Loss: 0.7518
Epoch [59/100], Step[261/526], Loss: 0.7543
Epoch [59/100], Step[262/526], Loss: 0.6773
Epoch [59/100], Step[263/526], Loss: 0.6606
Epoch [59/100], Step[264/526], Loss: 0.6273
Epoch [59/100], Step[265/526], Loss: 0.6178
Epoch [59/100], Step[266/526], Loss: 0.6256
Epoch [59/100], Step[267/526], Loss: 0.4952
Epoch [59/100], Step[268/526], Loss: 0.5399
Epoch [59/100], Step[269/526], Loss: 0.4476
Epoch [59/100], Step[270/526], Loss: 0.3713
Epoch [59/100], Step[271/526], Loss: 0.5045
Epoch [59/100], Step[272/526], Loss: 0.5238
Epoch [59/100], Step[273/526], Loss: 0.6401
Epoch [59/100], Step[274/526], Loss: 0.4216
Epoch [59/100], Step[275/526], Loss: 0.4154
Epoch [59/100], Step[276/526], Loss: 0.4681
Epoch [59/100], Step[277/526], Loss: 0.4184
Epoch [59/100], Step[278/526], Loss: 0.4452
Epoch [59/100], Step[279/526], Loss: 0.4031
Epoch [59/100], Step[280/526], Loss: 0.4388
Epoch [59/100], Step[281/526], Loss: 0.6304
Epoch [59/100], Step[282/526], Loss: 0.3511
Epoch [59/100], Step[283/526], Loss: 0.3701
Epoch [59/100], Step[284/526], Loss: 0.4021
Epoch [59/100], Step[285/526], Loss: 0.2700
Epoch [59/100], Step[286/526], Loss: 0.7043
Epoch [59/100], Step[287/526], Loss: 0.4803
Epoch [59/100], Step[288/526], Loss: 0.4323
Epoch [59/100], Step[289/526], Loss: 0.6204
Epoch [59/100], Step[290/526], Loss: 0.4235
Epoch [59/100], Step[291/526], Loss: 0.4793
Epoch [59/100], Step[292/526], Loss: 0.2571
Epoch [59/100], Step[293/526], Loss: 0.3033
Epoch [59/100], Step[294/526], Loss: 0.3131
Epoch [59/100], Step[295/526], Loss: 0.4241
Epoch [59/100], Step[296/526], Loss: 0.6256
Epoch [59/100], Step[297/526], Loss: 0.3043
Epoch [59/100], Step[298/526], Loss: 0.2801
Epoch [59/100], Step[299/526], Loss: 0.2361
Epoch [59/100], Step[300/526], Loss: 0.2835
Epoch [59/100], Step[301/526], Loss: 0.6241
Epoch [59/100], Step[302/526], Loss: 0.3222
Epoch [59/100], Step[303/526], Loss: 0.4748
Epoch [59/100], Step[304/526], Loss: 0.2615
Epoch [59/100], Step[305/526], Loss: 0.2591
Epoch [59/100], Step[306/526], Loss: 0.5885
Epoch [59/100], Step[307/526], Loss: 0.8961
Epoch [59/100], Step[308/526], Loss: 1.3282
Epoch [59/100], Step[309/526], Loss: 0.8189
Epoch [59/100], Step[310/526], Loss: 0.9576
Epoch [59/100], Step[311/526], Loss: 0.8249
Epoch [59/100], Step[312/526], Loss: 0.4900
Epoch [59/100], Step[313/526], Loss: 0.4856
Epoch [59/100], Step[314/526], Loss: 0.6571
Epoch [59/100], Step[315/526], Loss: 0.7112
Epoch [59/100], Step[316/526], Loss: 0.4927
Epoch [59/100], Step[317/526], Loss: 0.3239
Epoch [59/100], Step[318/526], Loss: 0.7790
Epoch [59/100], Step[319/526], Loss: 0.3582
Epoch [59/100], Step[320/526], Loss: 0.6294
Epoch [59/100], Step[321/526], Loss: 0.7034
Epoch [59/100], Step[322/526], Loss: 0.2712
Epoch [59/100], Step[323/526], Loss: 0.6163
Epoch [59/100], Step[324/526], Loss: 0.6556
Epoch [59/100], Step[325/526], Loss: 0.5914
Epoch [59/100], Step[326/526], Loss: 0.7488
Epoch [59/100], Step[327/526], Loss: 0.7300
Epoch [59/100], Step[328/526], Loss: 0.9372
Epoch [59/100], Step[329/526], Loss: 1.2785
Epoch [59/100], Step[330/526], Loss: 1.0468
Epoch [59/100], Step[331/526], Loss: 0.7778
Epoch [59/100], Step[332/526], Loss: 0.8242
Epoch [59/100], Step[333/526], Loss: 0.7655
Epoch [59/100], Step[334/526], Loss: 0.7654
Epoch [59/100], Step[335/526], Loss: 0.7773
Epoch [59/100], Step[336/526], Loss: 0.6933
Epoch [59/100], Step[337/526], Loss: 0.5914
Epoch [59/100], Step[338/526], Loss: 0.7021
Epoch [59/100], Step[339/526], Loss: 0.6382
Epoch [59/100], Step[340/526], Loss: 0.7187
Epoch [59/100], Step[341/526], Loss: 0.7622
Epoch [59/100], Step[342/526], Loss: 0.7765
Epoch [59/100], Step[343/526], Loss: 0.5382
Epoch [59/100], Step[344/526], Loss: 0.7288
Epoch [59/100], Step[345/526], Loss: 0.6519
Epoch [59/100], Step[346/526], Loss: 0.6708
Epoch [59/100], Step[347/526], Loss: 0.7125
Epoch [59/100], Step[348/526], Loss: 0.6283
Epoch [59/100], Step[349/526], Loss: 0.5732
Epoch [59/100], Step[350/526], Loss: 0.6699
Epoch [59/100], Step[351/526], Loss: 0.7123
Epoch [59/100], Step[352/526], Loss: 0.6104
Epoch [59/100], Step[353/526], Loss: 0.6840
Epoch [59/100], Step[354/526], Loss: 0.6676
Epoch [59/100], Step[355/526], Loss: 0.6697
Epoch [59/100], Step[356/526], Loss: 0.7004
Epoch [59/100], Step[357/526], Loss: 0.6602
Epoch [59/100], Step[358/526], Loss: 0.6957
Epoch [59/100], Step[359/526], Loss: 0.6453
Epoch [59/100], Step[360/526], Loss: 0.6815
Epoch [59/100], Step[361/526], Loss: 0.7279
Epoch [59/100], Step[362/526], Loss: 0.7067
Epoch [59/100], Step[363/526], Loss: 0.6930
Epoch [59/100], Step[364/526], Loss: 0.7174
Epoch [59/100], Step[365/526], Loss: 0.7193
Epoch [59/100], Step[366/526], Loss: 0.6852
Epoch [59/100], Step[367/526], Loss: 0.6913
Epoch [59/100], Step[368/526], Loss: 0.6490
Epoch [59/100], Step[369/526], Loss: 0.6578
Epoch [59/100], Step[370/526], Loss: 0.6044
Epoch [59/100], Step[371/526], Loss: 0.7371
Epoch [59/100], Step[372/526], Loss: 0.6383
Epoch [59/100], Step[373/526], Loss: 0.6793
Epoch [59/100], Step[374/526], Loss: 0.7069
Epoch [59/100], Step[375/526], Loss: 0.6506
Epoch [59/100], Step[376/526], Loss: 0.6470
Epoch [59/100], Step[377/526], Loss: 0.6934
Epoch [59/100], Step[378/526], Loss: 0.6911
Epoch [59/100], Step[379/526], Loss: 0.7486
Epoch [59/100], Step[380/526], Loss: 0.6087
Epoch [59/100], Step[381/526], Loss: 0.5962
Epoch [59/100], Step[382/526], Loss: 0.6760
Epoch [59/100], Step[383/526], Loss: 0.6993
Epoch [59/100], Step[384/526], Loss: 0.6361
Epoch [59/100], Step[385/526], Loss: 0.6222
Epoch [59/100], Step[386/526], Loss: 0.6715
Epoch [59/100], Step[387/526], Loss: 0.6565
Epoch [59/100], Step[388/526], Loss: 0.5962
Epoch [59/100], Step[389/526], Loss: 0.7235
Epoch [59/100], Step[390/526], Loss: 0.5816
Epoch [59/100], Step[391/526], Loss: 0.6553
Epoch [59/100], Step[392/526], Loss: 0.6986
Epoch [59/100], Step[393/526], Loss: 0.5856
Epoch [59/100], Step[394/526], Loss: 0.5138
Epoch [59/100], Step[395/526], Loss: 0.6030
Epoch [59/100], Step[396/526], Loss: 0.6283
Epoch [59/100], Step[397/526], Loss: 0.4664
Epoch [59/100], Step[398/526], Loss: 0.6039
Epoch [59/100], Step[399/526], Loss: 0.6531
Epoch [59/100], Step[400/526], Loss: 0.4745
Epoch [59/100], Step[401/526], Loss: 0.6022
Epoch [59/100], Step[402/526], Loss: 0.6398
Epoch [59/100], Step[403/526], Loss: 0.7600
Epoch [59/100], Step[404/526], Loss: 0.4818
Epoch [59/100], Step[405/526], Loss: 0.5046
Epoch [59/100], Step[406/526], Loss: 0.6298
Epoch [59/100], Step[407/526], Loss: 0.7533
Epoch [59/100], Step[408/526], Loss: 0.6568
Epoch [59/100], Step[409/526], Loss: 0.4770
Epoch [59/100], Step[410/526], Loss: 0.4923
Epoch [59/100], Step[411/526], Loss: 0.5366
Epoch [59/100], Step[412/526], Loss: 0.5967
Epoch [59/100], Step[413/526], Loss: 0.6023
Epoch [59/100], Step[414/526], Loss: 0.6437
Epoch [59/100], Step[415/526], Loss: 0.6060
Epoch [59/100], Step[416/526], Loss: 0.5467
Epoch [59/100], Step[417/526], Loss: 0.4507
Epoch [59/100], Step[418/526], Loss: 0.7378
Epoch [59/100], Step[419/526], Loss: 0.6883
Epoch [59/100], Step[420/526], Loss: 0.6823
Epoch [59/100], Step[421/526], Loss: 0.6459
Epoch [59/100], Step[422/526], Loss: 0.7620
Epoch [59/100], Step[423/526], Loss: 0.6966
Epoch [59/100], Step[424/526], Loss: 0.7392
Epoch [59/100], Step[425/526], Loss: 0.6988
Epoch [59/100], Step[426/526], Loss: 0.7570
Epoch [59/100], Step[427/526], Loss: 0.7049
Epoch [59/100], Step[428/526], Loss: 0.7131
Epoch [59/100], Step[429/526], Loss: 0.7314
Epoch [59/100], Step[430/526], Loss: 0.7907
Epoch [59/100], Step[431/526], Loss: 0.7032
Epoch [59/100], Step[432/526], Loss: 0.7297
Epoch [59/100], Step[433/526], Loss: 0.6697
Epoch [59/100], Step[434/526], Loss: 0.6095
Epoch [59/100], Step[435/526], Loss: 0.7792
Epoch [59/100], Step[436/526], Loss: 0.8149
Epoch [59/100], Step[437/526], Loss: 0.4873
Epoch [59/100], Step[438/526], Loss: 0.3571
Epoch [59/100], Step[439/526], Loss: 0.7238
Epoch [59/100], Step[440/526], Loss: 0.6867
Epoch [59/100], Step[441/526], Loss: 0.6990
Epoch [59/100], Step[442/526], Loss: 0.6403
Epoch [59/100], Step[443/526], Loss: 0.6695
Epoch [59/100], Step[444/526], Loss: 0.7538
Epoch [59/100], Step[445/526], Loss: 0.7050
Epoch [59/100], Step[446/526], Loss: 0.7132
Epoch [59/100], Step[447/526], Loss: 0.7207
Epoch [59/100], Step[448/526], Loss: 0.7186
Epoch [59/100], Step[449/526], Loss: 0.6726
Epoch [59/100], Step[450/526], Loss: 0.6056
Epoch [59/100], Step[451/526], Loss: 0.6633
Epoch [59/100], Step[452/526], Loss: 0.7233
Epoch [59/100], Step[453/526], Loss: 0.7090
Epoch [59/100], Step[454/526], Loss: 0.8348
Epoch [59/100], Step[455/526], Loss: 0.6612
Epoch [59/100], Step[456/526], Loss: 0.6297
Epoch [59/100], Step[457/526], Loss: 0.6992
Epoch [59/100], Step[458/526], Loss: 0.6747
Epoch [59/100], Step[459/526], Loss: 0.6642
Epoch [59/100], Step[460/526], Loss: 0.6484
Epoch [59/100], Step[461/526], Loss: 0.6141
Epoch [59/100], Step[462/526], Loss: 0.6739
Epoch [59/100], Step[463/526], Loss: 0.6533
Epoch [59/100], Step[464/526], Loss: 0.6369
Epoch [59/100], Step[465/526], Loss: 0.6617
Epoch [59/100], Step[466/526], Loss: 0.6715
Epoch [59/100], Step[467/526], Loss: 0.6460
Epoch [59/100], Step[468/526], Loss: 0.6167
Epoch [59/100], Step[469/526], Loss: 0.8058
Epoch [59/100], Step[470/526], Loss: 0.6594
Epoch [59/100], Step[471/526], Loss: 0.6940
Epoch [59/100], Step[472/526], Loss: 0.6756
Epoch [59/100], Step[473/526], Loss: 0.6797
Epoch [59/100], Step[474/526], Loss: 0.6774
Epoch [59/100], Step[475/526], Loss: 0.8366
Epoch [59/100], Step[476/526], Loss: 0.7413
Epoch [59/100], Step[477/526], Loss: 0.7062
Epoch [59/100], Step[478/526], Loss: 0.6882
Epoch [59/100], Step[479/526], Loss: 0.6575
Epoch [59/100], Step[480/526], Loss: 0.7316
Epoch [59/100], Step[481/526], Loss: 0.7333
Epoch [59/100], Step[482/526], Loss: 0.6217
Epoch [59/100], Step[483/526], Loss: 0.5413
Epoch [59/100], Step[484/526], Loss: 0.7006
Epoch [59/100], Step[485/526], Loss: 0.7786
Epoch [59/100], Step[486/526], Loss: 0.7251
Epoch [59/100], Step[487/526], Loss: 0.7564
Epoch [59/100], Step[488/526], Loss: 0.6839
Epoch [59/100], Step[489/526], Loss: 0.6216
Epoch [59/100], Step[490/526], Loss: 0.6142
Epoch [59/100], Step[491/526], Loss: 0.7007
Epoch [59/100], Step[492/526], Loss: 0.6476
Epoch [59/100], Step[493/526], Loss: 0.6410
Epoch [59/100], Step[494/526], Loss: 0.6615
Epoch [59/100], Step[495/526], Loss: 0.6838
Epoch [59/100], Step[496/526], Loss: 0.6659
Epoch [59/100], Step[497/526], Loss: 0.6362
Epoch [59/100], Step[498/526], Loss: 0.6714
Epoch [59/100], Step[499/526], Loss: 0.6694
Epoch [59/100], Step[500/526], Loss: 0.6915
Epoch [59/100], Step[501/526], Loss: 0.6542
Epoch [59/100], Step[502/526], Loss: 0.7003
Epoch [59/100], Step[503/526], Loss: 0.7133
Epoch [59/100], Step[504/526], Loss: 0.7078
Epoch [59/100], Step[505/526], Loss: 0.7094
Epoch [59/100], Step[506/526], Loss: 0.6642
Epoch [59/100], Step[507/526], Loss: 0.6709
Epoch [59/100], Step[508/526], Loss: 0.6948
Epoch [59/100], Step[509/526], Loss: 0.6442
Epoch [59/100], Step[510/526], Loss: 0.7039
Epoch [59/100], Step[511/526], Loss: 0.6429
Epoch [59/100], Step[512/526], Loss: 0.6737
Epoch [59/100], Step[513/526], Loss: 0.6415
Epoch [59/100], Step[514/526], Loss: 0.6537
Epoch [59/100], Step[515/526], Loss: 0.5738
Epoch [59/100], Step[516/526], Loss: 0.7502
Epoch [59/100], Step[517/526], Loss: 0.6901
Epoch [59/100], Step[518/526], Loss: 0.7301
Epoch [59/100], Step[519/526], Loss: 0.7159
Epoch [59/100], Step[520/526], Loss: 0.6768
Epoch [59/100], Step[521/526], Loss: 0.6684
Epoch [59/100], Step[522/526], Loss: 0.6042
Epoch [59/100], Step[523/526], Loss: 0.6474
Epoch [59/100], Step[524/526], Loss: 0.6307
Epoch [59/100], Step[525/526], Loss: 0.7471
Epoch [59/100], Step[526/526], Loss: 0.7132
Epoch [60/100], Step[1/526], Loss: 0.6588
Epoch [60/100], Step[2/526], Loss: 0.6404
Epoch [60/100], Step[3/526], Loss: 0.6830
Epoch [60/100], Step[4/526], Loss: 0.6324
Epoch [60/100], Step[5/526], Loss: 0.7409
Epoch [60/100], Step[6/526], Loss: 0.7545
Epoch [60/100], Step[7/526], Loss: 0.6972
Epoch [60/100], Step[8/526], Loss: 0.6801
Epoch [60/100], Step[9/526], Loss: 0.7038
Epoch [60/100], Step[10/526], Loss: 0.6629
Epoch [60/100], Step[11/526], Loss: 0.6821
Epoch [60/100], Step[12/526], Loss: 0.7341
Epoch [60/100], Step[13/526], Loss: 0.6167
Epoch [60/100], Step[14/526], Loss: 0.6488
Epoch [60/100], Step[15/526], Loss: 0.6873
Epoch [60/100], Step[16/526], Loss: 0.7035
Epoch [60/100], Step[17/526], Loss: 0.7104
Epoch [60/100], Step[18/526], Loss: 0.6646
Epoch [60/100], Step[19/526], Loss: 0.6692
Epoch [60/100], Step[20/526], Loss: 0.7329
Epoch [60/100], Step[21/526], Loss: 0.7536
Epoch [60/100], Step[22/526], Loss: 0.7296
Epoch [60/100], Step[23/526], Loss: 0.7368
Epoch [60/100], Step[24/526], Loss: 0.7164
Epoch [60/100], Step[25/526], Loss: 0.6906
Epoch [60/100], Step[26/526], Loss: 0.6187
Epoch [60/100], Step[27/526], Loss: 0.6771
Epoch [60/100], Step[28/526], Loss: 0.6935
Epoch [60/100], Step[29/526], Loss: 0.6444
Epoch [60/100], Step[30/526], Loss: 0.6920
Epoch [60/100], Step[31/526], Loss: 0.7070
Epoch [60/100], Step[32/526], Loss: 0.6661
Epoch [60/100], Step[33/526], Loss: 0.7152
Epoch [60/100], Step[34/526], Loss: 0.6941
Epoch [60/100], Step[35/526], Loss: 0.7122
Epoch [60/100], Step[36/526], Loss: 0.6997
Epoch [60/100], Step[37/526], Loss: 0.6917
Epoch [60/100], Step[38/526], Loss: 0.7100
Epoch [60/100], Step[39/526], Loss: 0.6923
Epoch [60/100], Step[40/526], Loss: 0.7032
Epoch [60/100], Step[41/526], Loss: 0.6629
Epoch [60/100], Step[42/526], Loss: 0.7270
Epoch [60/100], Step[43/526], Loss: 0.7170
Epoch [60/100], Step[44/526], Loss: 0.6843
Epoch [60/100], Step[45/526], Loss: 0.6903
Epoch [60/100], Step[46/526], Loss: 0.6917
Epoch [60/100], Step[47/526], Loss: 0.7035
Epoch [60/100], Step[48/526], Loss: 0.7245
Epoch [60/100], Step[49/526], Loss: 0.7012
Epoch [60/100], Step[50/526], Loss: 0.6949
Epoch [60/100], Step[51/526], Loss: 0.6928
Epoch [60/100], Step[52/526], Loss: 0.6802
Epoch [60/100], Step[53/526], Loss: 0.7063
Epoch [60/100], Step[54/526], Loss: 0.7125
Epoch [60/100], Step[55/526], Loss: 0.7244
Epoch [60/100], Step[56/526], Loss: 0.6870
Epoch [60/100], Step[57/526], Loss: 0.6836
Epoch [60/100], Step[58/526], Loss: 0.6846
Epoch [60/100], Step[59/526], Loss: 0.6560
Epoch [60/100], Step[60/526], Loss: 0.6719
Epoch [60/100], Step[61/526], Loss: 0.6681
Epoch [60/100], Step[62/526], Loss: 0.6992
Epoch [60/100], Step[63/526], Loss: 0.6869
Epoch [60/100], Step[64/526], Loss: 0.6700
Epoch [60/100], Step[65/526], Loss: 0.7319
Epoch [60/100], Step[66/526], Loss: 0.6829
Epoch [60/100], Step[67/526], Loss: 0.6480
Epoch [60/100], Step[68/526], Loss: 0.6553
Epoch [60/100], Step[69/526], Loss: 0.6963
Epoch [60/100], Step[70/526], Loss: 0.6856
Epoch [60/100], Step[71/526], Loss: 0.6709
Epoch [60/100], Step[72/526], Loss: 0.6829
Epoch [60/100], Step[73/526], Loss: 0.7129
Epoch [60/100], Step[74/526], Loss: 0.6548
Epoch [60/100], Step[75/526], Loss: 0.7005
Epoch [60/100], Step[76/526], Loss: 0.6865
Epoch [60/100], Step[77/526], Loss: 0.6954
Epoch [60/100], Step[78/526], Loss: 0.7135
Epoch [60/100], Step[79/526], Loss: 0.6908
Epoch [60/100], Step[80/526], Loss: 0.6905
Epoch [60/100], Step[81/526], Loss: 0.7023
Epoch [60/100], Step[82/526], Loss: 0.7344
Epoch [60/100], Step[83/526], Loss: 0.7084
Epoch [60/100], Step[84/526], Loss: 0.6856
Epoch [60/100], Step[85/526], Loss: 0.6543
Epoch [60/100], Step[86/526], Loss: 0.6917
Epoch [60/100], Step[87/526], Loss: 0.6854
Epoch [60/100], Step[88/526], Loss: 0.6864
Epoch [60/100], Step[89/526], Loss: 0.7178
Epoch [60/100], Step[90/526], Loss: 0.6849
Epoch [60/100], Step[91/526], Loss: 0.6758
Epoch [60/100], Step[92/526], Loss: 0.6771
Epoch [60/100], Step[93/526], Loss: 0.6823
Epoch [60/100], Step[94/526], Loss: 0.8073
Epoch [60/100], Step[95/526], Loss: 0.7185
Epoch [60/100], Step[96/526], Loss: 0.6238
Epoch [60/100], Step[97/526], Loss: 0.5910
Epoch [60/100], Step[98/526], Loss: 0.6830
Epoch [60/100], Step[99/526], Loss: 0.6932
Epoch [60/100], Step[100/526], Loss: 0.6519
Epoch [60/100], Step[101/526], Loss: 0.6599
Epoch [60/100], Step[102/526], Loss: 0.6288
Epoch [60/100], Step[103/526], Loss: 0.7013
Epoch [60/100], Step[104/526], Loss: 0.6449
Epoch [60/100], Step[105/526], Loss: 0.6309
Epoch [60/100], Step[106/526], Loss: 0.6837
Epoch [60/100], Step[107/526], Loss: 0.6319
Epoch [60/100], Step[108/526], Loss: 0.5784
Epoch [60/100], Step[109/526], Loss: 0.6678
Epoch [60/100], Step[110/526], Loss: 0.6887
Epoch [60/100], Step[111/526], Loss: 0.5919
Epoch [60/100], Step[112/526], Loss: 0.7331
Epoch [60/100], Step[113/526], Loss: 0.6091
Epoch [60/100], Step[114/526], Loss: 0.6648
Epoch [60/100], Step[115/526], Loss: 0.6037
Epoch [60/100], Step[116/526], Loss: 0.6287
Epoch [60/100], Step[117/526], Loss: 0.6619
Epoch [60/100], Step[118/526], Loss: 0.7490
Epoch [60/100], Step[119/526], Loss: 0.6740
Epoch [60/100], Step[120/526], Loss: 0.6786
Epoch [60/100], Step[121/526], Loss: 0.6856
Epoch [60/100], Step[122/526], Loss: 0.6303
Epoch [60/100], Step[123/526], Loss: 0.6467
Epoch [60/100], Step[124/526], Loss: 0.6686
Epoch [60/100], Step[125/526], Loss: 0.6382
Epoch [60/100], Step[126/526], Loss: 0.7184
Epoch [60/100], Step[127/526], Loss: 0.6648
Epoch [60/100], Step[128/526], Loss: 0.6435
Epoch [60/100], Step[129/526], Loss: 0.6040
Epoch [60/100], Step[130/526], Loss: 0.6197
Epoch [60/100], Step[131/526], Loss: 0.6728
Epoch [60/100], Step[132/526], Loss: 0.7223
Epoch [60/100], Step[133/526], Loss: 0.6721
Epoch [60/100], Step[134/526], Loss: 0.6317
Epoch [60/100], Step[135/526], Loss: 0.6465
Epoch [60/100], Step[136/526], Loss: 0.5696
Epoch [60/100], Step[137/526], Loss: 0.6371
Epoch [60/100], Step[138/526], Loss: 0.6521
Epoch [60/100], Step[139/526], Loss: 0.6932
Epoch [60/100], Step[140/526], Loss: 0.5976
Epoch [60/100], Step[141/526], Loss: 0.6735
Epoch [60/100], Step[142/526], Loss: 0.6664
Epoch [60/100], Step[143/526], Loss: 0.6868
Epoch [60/100], Step[144/526], Loss: 0.7843
Epoch [60/100], Step[145/526], Loss: 0.5456
Epoch [60/100], Step[146/526], Loss: 0.5183
Epoch [60/100], Step[147/526], Loss: 0.4725
Epoch [60/100], Step[148/526], Loss: 0.5993
Epoch [60/100], Step[149/526], Loss: 0.4998
Epoch [60/100], Step[150/526], Loss: 0.5521
Epoch [60/100], Step[151/526], Loss: 0.5493
Epoch [60/100], Step[152/526], Loss: 0.6254
Epoch [60/100], Step[153/526], Loss: 0.6395
Epoch [60/100], Step[154/526], Loss: 0.7091
Epoch [60/100], Step[155/526], Loss: 0.6853
Epoch [60/100], Step[156/526], Loss: 0.5441
Epoch [60/100], Step[157/526], Loss: 0.2763
Epoch [60/100], Step[158/526], Loss: 0.5790
Epoch [60/100], Step[159/526], Loss: 0.6756
Epoch [60/100], Step[160/526], Loss: 0.5423
Epoch [60/100], Step[161/526], Loss: 0.8557
Epoch [60/100], Step[162/526], Loss: 0.6987
Epoch [60/100], Step[163/526], Loss: 0.7113
Epoch [60/100], Step[164/526], Loss: 0.6143
Epoch [60/100], Step[165/526], Loss: 0.6905
Epoch [60/100], Step[166/526], Loss: 0.5094
Epoch [60/100], Step[167/526], Loss: 0.5788
Epoch [60/100], Step[168/526], Loss: 0.7180
Epoch [60/100], Step[169/526], Loss: 0.7642
Epoch [60/100], Step[170/526], Loss: 0.7031
Epoch [60/100], Step[171/526], Loss: 0.7465
Epoch [60/100], Step[172/526], Loss: 0.7104
Epoch [60/100], Step[173/526], Loss: 0.8298
Epoch [60/100], Step[174/526], Loss: 0.6141
Epoch [60/100], Step[175/526], Loss: 0.6626
Epoch [60/100], Step[176/526], Loss: 0.6134
Epoch [60/100], Step[177/526], Loss: 0.6672
Epoch [60/100], Step[178/526], Loss: 0.6835
Epoch [60/100], Step[179/526], Loss: 0.6242
Epoch [60/100], Step[180/526], Loss: 0.6738
Epoch [60/100], Step[181/526], Loss: 0.6428
Epoch [60/100], Step[182/526], Loss: 0.6834
Epoch [60/100], Step[183/526], Loss: 0.5343
Epoch [60/100], Step[184/526], Loss: 0.5995
Epoch [60/100], Step[185/526], Loss: 0.5940
Epoch [60/100], Step[186/526], Loss: 0.6543
Epoch [60/100], Step[187/526], Loss: 0.7339
Epoch [60/100], Step[188/526], Loss: 0.6903
Epoch [60/100], Step[189/526], Loss: 0.6704
Epoch [60/100], Step[190/526], Loss: 0.6457
Epoch [60/100], Step[191/526], Loss: 0.6991
Epoch [60/100], Step[192/526], Loss: 0.7878
Epoch [60/100], Step[193/526], Loss: 0.6560
Epoch [60/100], Step[194/526], Loss: 0.6144
Epoch [60/100], Step[195/526], Loss: 0.6474
Epoch [60/100], Step[196/526], Loss: 0.7315
Epoch [60/100], Step[197/526], Loss: 0.6788
Epoch [60/100], Step[198/526], Loss: 0.6337
Epoch [60/100], Step[199/526], Loss: 0.7370
Epoch [60/100], Step[200/526], Loss: 0.6808
Epoch [60/100], Step[201/526], Loss: 0.6705
Epoch [60/100], Step[202/526], Loss: 0.7386
Epoch [60/100], Step[203/526], Loss: 0.7072
Epoch [60/100], Step[204/526], Loss: 0.7147
Epoch [60/100], Step[205/526], Loss: 0.6997
Epoch [60/100], Step[206/526], Loss: 0.6838
Epoch [60/100], Step[207/526], Loss: 0.7096
Epoch [60/100], Step[208/526], Loss: 0.6783
Epoch [60/100], Step[209/526], Loss: 0.6790
Epoch [60/100], Step[210/526], Loss: 0.7647
Epoch [60/100], Step[211/526], Loss: 0.6222
Epoch [60/100], Step[212/526], Loss: 0.6852
Epoch [60/100], Step[213/526], Loss: 0.7229
Epoch [60/100], Step[214/526], Loss: 0.7481
Epoch [60/100], Step[215/526], Loss: 0.6959
Epoch [60/100], Step[216/526], Loss: 0.6756
Epoch [60/100], Step[217/526], Loss: 0.6751
Epoch [60/100], Step[218/526], Loss: 0.6968
Epoch [60/100], Step[219/526], Loss: 0.6894
Epoch [60/100], Step[220/526], Loss: 0.7258
Epoch [60/100], Step[221/526], Loss: 0.6978
Epoch [60/100], Step[222/526], Loss: 0.7408
Epoch [60/100], Step[223/526], Loss: 0.6772
Epoch [60/100], Step[224/526], Loss: 0.6797
Epoch [60/100], Step[225/526], Loss: 0.7215
Epoch [60/100], Step[226/526], Loss: 0.6703
Epoch [60/100], Step[227/526], Loss: 0.6608
Epoch [60/100], Step[228/526], Loss: 0.6536
Epoch [60/100], Step[229/526], Loss: 0.6799
Epoch [60/100], Step[230/526], Loss: 0.6578
Epoch [60/100], Step[231/526], Loss: 0.6654
Epoch [60/100], Step[232/526], Loss: 0.7165
Epoch [60/100], Step[233/526], Loss: 0.6824
Epoch [60/100], Step[234/526], Loss: 0.6764
Epoch [60/100], Step[235/526], Loss: 0.6988
Epoch [60/100], Step[236/526], Loss: 0.6948
Epoch [60/100], Step[237/526], Loss: 0.7191
Epoch [60/100], Step[238/526], Loss: 0.6797
Epoch [60/100], Step[239/526], Loss: 0.6662
Epoch [60/100], Step[240/526], Loss: 0.7301
Epoch [60/100], Step[241/526], Loss: 0.6903
Epoch [60/100], Step[242/526], Loss: 0.7116
Epoch [60/100], Step[243/526], Loss: 0.6185
Epoch [60/100], Step[244/526], Loss: 0.6494
Epoch [60/100], Step[245/526], Loss: 0.6401
Epoch [60/100], Step[246/526], Loss: 0.6660
Epoch [60/100], Step[247/526], Loss: 0.6161
Epoch [60/100], Step[248/526], Loss: 0.6526
Epoch [60/100], Step[249/526], Loss: 0.6650
Epoch [60/100], Step[250/526], Loss: 0.6806
Epoch [60/100], Step[251/526], Loss: 0.7028
Epoch [60/100], Step[252/526], Loss: 0.6953
Epoch [60/100], Step[253/526], Loss: 0.6306
Epoch [60/100], Step[254/526], Loss: 0.6686
Epoch [60/100], Step[255/526], Loss: 0.5968
Epoch [60/100], Step[256/526], Loss: 0.6908
Epoch [60/100], Step[257/526], Loss: 0.6556
Epoch [60/100], Step[258/526], Loss: 0.6245
Epoch [60/100], Step[259/526], Loss: 0.6816
Epoch [60/100], Step[260/526], Loss: 0.7522
Epoch [60/100], Step[261/526], Loss: 0.7547
Epoch [60/100], Step[262/526], Loss: 0.6737
Epoch [60/100], Step[263/526], Loss: 0.6613
Epoch [60/100], Step[264/526], Loss: 0.6372
Epoch [60/100], Step[265/526], Loss: 0.6178
Epoch [60/100], Step[266/526], Loss: 0.6242
Epoch [60/100], Step[267/526], Loss: 0.4906
Epoch [60/100], Step[268/526], Loss: 0.5403
Epoch [60/100], Step[269/526], Loss: 0.4490
Epoch [60/100], Step[270/526], Loss: 0.3721
Epoch [60/100], Step[271/526], Loss: 0.5052
Epoch [60/100], Step[272/526], Loss: 0.5243
Epoch [60/100], Step[273/526], Loss: 0.6385
Epoch [60/100], Step[274/526], Loss: 0.4213
Epoch [60/100], Step[275/526], Loss: 0.4180
Epoch [60/100], Step[276/526], Loss: 0.4683
Epoch [60/100], Step[277/526], Loss: 0.4193
Epoch [60/100], Step[278/526], Loss: 0.4462
Epoch [60/100], Step[279/526], Loss: 0.4036
Epoch [60/100], Step[280/526], Loss: 0.4404
Epoch [60/100], Step[281/526], Loss: 0.6325
Epoch [60/100], Step[282/526], Loss: 0.3532
Epoch [60/100], Step[283/526], Loss: 0.3810
Epoch [60/100], Step[284/526], Loss: 0.4024
Epoch [60/100], Step[285/526], Loss: 0.2711
Epoch [60/100], Step[286/526], Loss: 0.7008
Epoch [60/100], Step[287/526], Loss: 0.4807
Epoch [60/100], Step[288/526], Loss: 0.4339
Epoch [60/100], Step[289/526], Loss: 0.6199
Epoch [60/100], Step[290/526], Loss: 0.4249
Epoch [60/100], Step[291/526], Loss: 0.4802
Epoch [60/100], Step[292/526], Loss: 0.2576
Epoch [60/100], Step[293/526], Loss: 0.3042
Epoch [60/100], Step[294/526], Loss: 0.3131
Epoch [60/100], Step[295/526], Loss: 0.4238
Epoch [60/100], Step[296/526], Loss: 0.6255
Epoch [60/100], Step[297/526], Loss: 0.3026
Epoch [60/100], Step[298/526], Loss: 0.2798
Epoch [60/100], Step[299/526], Loss: 0.2355
Epoch [60/100], Step[300/526], Loss: 0.2810
Epoch [60/100], Step[301/526], Loss: 0.6247
Epoch [60/100], Step[302/526], Loss: 0.3241
Epoch [60/100], Step[303/526], Loss: 0.4709
Epoch [60/100], Step[304/526], Loss: 0.2613
Epoch [60/100], Step[305/526], Loss: 0.2585
Epoch [60/100], Step[306/526], Loss: 0.5871
Epoch [60/100], Step[307/526], Loss: 0.8963
Epoch [60/100], Step[308/526], Loss: 1.3285
Epoch [60/100], Step[309/526], Loss: 0.8114
Epoch [60/100], Step[310/526], Loss: 0.9573
Epoch [60/100], Step[311/526], Loss: 0.8230
Epoch [60/100], Step[312/526], Loss: 0.4908
Epoch [60/100], Step[313/526], Loss: 0.4846
Epoch [60/100], Step[314/526], Loss: 0.6575
Epoch [60/100], Step[315/526], Loss: 0.7100
Epoch [60/100], Step[316/526], Loss: 0.4930
Epoch [60/100], Step[317/526], Loss: 0.3240
Epoch [60/100], Step[318/526], Loss: 0.7794
Epoch [60/100], Step[319/526], Loss: 0.3578
Epoch [60/100], Step[320/526], Loss: 0.6269
Epoch [60/100], Step[321/526], Loss: 0.7026
Epoch [60/100], Step[322/526], Loss: 0.2703
Epoch [60/100], Step[323/526], Loss: 0.6167
Epoch [60/100], Step[324/526], Loss: 0.6558
Epoch [60/100], Step[325/526], Loss: 0.5926
Epoch [60/100], Step[326/526], Loss: 0.7493
Epoch [60/100], Step[327/526], Loss: 0.7295
Epoch [60/100], Step[328/526], Loss: 0.9355
Epoch [60/100], Step[329/526], Loss: 1.2784
Epoch [60/100], Step[330/526], Loss: 1.0469
Epoch [60/100], Step[331/526], Loss: 0.7787
Epoch [60/100], Step[332/526], Loss: 0.8253
Epoch [60/100], Step[333/526], Loss: 0.7661
Epoch [60/100], Step[334/526], Loss: 0.7665
Epoch [60/100], Step[335/526], Loss: 0.7779
Epoch [60/100], Step[336/526], Loss: 0.6945
Epoch [60/100], Step[337/526], Loss: 0.5912
Epoch [60/100], Step[338/526], Loss: 0.7011
Epoch [60/100], Step[339/526], Loss: 0.6385
Epoch [60/100], Step[340/526], Loss: 0.7185
Epoch [60/100], Step[341/526], Loss: 0.7656
Epoch [60/100], Step[342/526], Loss: 0.7775
Epoch [60/100], Step[343/526], Loss: 0.5382
Epoch [60/100], Step[344/526], Loss: 0.7290
Epoch [60/100], Step[345/526], Loss: 0.6514
Epoch [60/100], Step[346/526], Loss: 0.6709
Epoch [60/100], Step[347/526], Loss: 0.7126
Epoch [60/100], Step[348/526], Loss: 0.6285
Epoch [60/100], Step[349/526], Loss: 0.5725
Epoch [60/100], Step[350/526], Loss: 0.6701
Epoch [60/100], Step[351/526], Loss: 0.7127
Epoch [60/100], Step[352/526], Loss: 0.6063
Epoch [60/100], Step[353/526], Loss: 0.6845
Epoch [60/100], Step[354/526], Loss: 0.6674
Epoch [60/100], Step[355/526], Loss: 0.6694
Epoch [60/100], Step[356/526], Loss: 0.7010
Epoch [60/100], Step[357/526], Loss: 0.6606
Epoch [60/100], Step[358/526], Loss: 0.6971
Epoch [60/100], Step[359/526], Loss: 0.6473
Epoch [60/100], Step[360/526], Loss: 0.6816
Epoch [60/100], Step[361/526], Loss: 0.7263
Epoch [60/100], Step[362/526], Loss: 0.7073
Epoch [60/100], Step[363/526], Loss: 0.6923
Epoch [60/100], Step[364/526], Loss: 0.7179
Epoch [60/100], Step[365/526], Loss: 0.7197
Epoch [60/100], Step[366/526], Loss: 0.6853
Epoch [60/100], Step[367/526], Loss: 0.6915
Epoch [60/100], Step[368/526], Loss: 0.6489
Epoch [60/100], Step[369/526], Loss: 0.6580
Epoch [60/100], Step[370/526], Loss: 0.5820
Epoch [60/100], Step[371/526], Loss: 0.7377
Epoch [60/100], Step[372/526], Loss: 0.6390
Epoch [60/100], Step[373/526], Loss: 0.6795
Epoch [60/100], Step[374/526], Loss: 0.7074
Epoch [60/100], Step[375/526], Loss: 0.6510
Epoch [60/100], Step[376/526], Loss: 0.6527
Epoch [60/100], Step[377/526], Loss: 0.6931
Epoch [60/100], Step[378/526], Loss: 0.6907
Epoch [60/100], Step[379/526], Loss: 0.7483
Epoch [60/100], Step[380/526], Loss: 0.6089
Epoch [60/100], Step[381/526], Loss: 0.5961
Epoch [60/100], Step[382/526], Loss: 0.6757
Epoch [60/100], Step[383/526], Loss: 0.6992
Epoch [60/100], Step[384/526], Loss: 0.6362
Epoch [60/100], Step[385/526], Loss: 0.6221
Epoch [60/100], Step[386/526], Loss: 0.6725
Epoch [60/100], Step[387/526], Loss: 0.6502
Epoch [60/100], Step[388/526], Loss: 0.5958
Epoch [60/100], Step[389/526], Loss: 0.7245
Epoch [60/100], Step[390/526], Loss: 0.5805
Epoch [60/100], Step[391/526], Loss: 0.6548
Epoch [60/100], Step[392/526], Loss: 0.6972
Epoch [60/100], Step[393/526], Loss: 0.5850
Epoch [60/100], Step[394/526], Loss: 0.5135
Epoch [60/100], Step[395/526], Loss: 0.6051
Epoch [60/100], Step[396/526], Loss: 0.6281
Epoch [60/100], Step[397/526], Loss: 0.4655
Epoch [60/100], Step[398/526], Loss: 0.6037
Epoch [60/100], Step[399/526], Loss: 0.6537
Epoch [60/100], Step[400/526], Loss: 0.4737
Epoch [60/100], Step[401/526], Loss: 0.6028
Epoch [60/100], Step[402/526], Loss: 0.6386
Epoch [60/100], Step[403/526], Loss: 0.7628
Epoch [60/100], Step[404/526], Loss: 0.4814
Epoch [60/100], Step[405/526], Loss: 0.5043
Epoch [60/100], Step[406/526], Loss: 0.6314
Epoch [60/100], Step[407/526], Loss: 0.7529
Epoch [60/100], Step[408/526], Loss: 0.6554
Epoch [60/100], Step[409/526], Loss: 0.4761
Epoch [60/100], Step[410/526], Loss: 0.4914
Epoch [60/100], Step[411/526], Loss: 0.5363
Epoch [60/100], Step[412/526], Loss: 0.5962
Epoch [60/100], Step[413/526], Loss: 0.6019
Epoch [60/100], Step[414/526], Loss: 0.6440
Epoch [60/100], Step[415/526], Loss: 0.6058
Epoch [60/100], Step[416/526], Loss: 0.5462
Epoch [60/100], Step[417/526], Loss: 0.4500
Epoch [60/100], Step[418/526], Loss: 0.7371
Epoch [60/100], Step[419/526], Loss: 0.6884
Epoch [60/100], Step[420/526], Loss: 0.6805
Epoch [60/100], Step[421/526], Loss: 0.6459
Epoch [60/100], Step[422/526], Loss: 0.7651
Epoch [60/100], Step[423/526], Loss: 0.6968
Epoch [60/100], Step[424/526], Loss: 0.7393
Epoch [60/100], Step[425/526], Loss: 0.6953
Epoch [60/100], Step[426/526], Loss: 0.7587
Epoch [60/100], Step[427/526], Loss: 0.7056
Epoch [60/100], Step[428/526], Loss: 0.7138
Epoch [60/100], Step[429/526], Loss: 0.7320
Epoch [60/100], Step[430/526], Loss: 0.7894
Epoch [60/100], Step[431/526], Loss: 0.7040
Epoch [60/100], Step[432/526], Loss: 0.7302
Epoch [60/100], Step[433/526], Loss: 0.6719
Epoch [60/100], Step[434/526], Loss: 0.6104
Epoch [60/100], Step[435/526], Loss: 0.7808
Epoch [60/100], Step[436/526], Loss: 0.8139
Epoch [60/100], Step[437/526], Loss: 0.4911
Epoch [60/100], Step[438/526], Loss: 0.3565
Epoch [60/100], Step[439/526], Loss: 0.7241
Epoch [60/100], Step[440/526], Loss: 0.6867
Epoch [60/100], Step[441/526], Loss: 0.6954
Epoch [60/100], Step[442/526], Loss: 0.6399
Epoch [60/100], Step[443/526], Loss: 0.6691
Epoch [60/100], Step[444/526], Loss: 0.7540
Epoch [60/100], Step[445/526], Loss: 0.7051
Epoch [60/100], Step[446/526], Loss: 0.7124
Epoch [60/100], Step[447/526], Loss: 0.7209
Epoch [60/100], Step[448/526], Loss: 0.7184
Epoch [60/100], Step[449/526], Loss: 0.6726
Epoch [60/100], Step[450/526], Loss: 0.6057
Epoch [60/100], Step[451/526], Loss: 0.6591
Epoch [60/100], Step[452/526], Loss: 0.7227
Epoch [60/100], Step[453/526], Loss: 0.7089
Epoch [60/100], Step[454/526], Loss: 0.8332
Epoch [60/100], Step[455/526], Loss: 0.6539
Epoch [60/100], Step[456/526], Loss: 0.6319
Epoch [60/100], Step[457/526], Loss: 0.6986
Epoch [60/100], Step[458/526], Loss: 0.6780
Epoch [60/100], Step[459/526], Loss: 0.6629
Epoch [60/100], Step[460/526], Loss: 0.6484
Epoch [60/100], Step[461/526], Loss: 0.6151
Epoch [60/100], Step[462/526], Loss: 0.6735
Epoch [60/100], Step[463/526], Loss: 0.6537
Epoch [60/100], Step[464/526], Loss: 0.6376
Epoch [60/100], Step[465/526], Loss: 0.6618
Epoch [60/100], Step[466/526], Loss: 0.6726
Epoch [60/100], Step[467/526], Loss: 0.6448
Epoch [60/100], Step[468/526], Loss: 0.6203
Epoch [60/100], Step[469/526], Loss: 0.8050
Epoch [60/100], Step[470/526], Loss: 0.6596
Epoch [60/100], Step[471/526], Loss: 0.6938
Epoch [60/100], Step[472/526], Loss: 0.6759
Epoch [60/100], Step[473/526], Loss: 0.6792
Epoch [60/100], Step[474/526], Loss: 0.6782
Epoch [60/100], Step[475/526], Loss: 0.8370
Epoch [60/100], Step[476/526], Loss: 0.7398
Epoch [60/100], Step[477/526], Loss: 0.7055
Epoch [60/100], Step[478/526], Loss: 0.6864
Epoch [60/100], Step[479/526], Loss: 0.6569
Epoch [60/100], Step[480/526], Loss: 0.7333
Epoch [60/100], Step[481/526], Loss: 0.7341
Epoch [60/100], Step[482/526], Loss: 0.6220
Epoch [60/100], Step[483/526], Loss: 0.5412
Epoch [60/100], Step[484/526], Loss: 0.6976
Epoch [60/100], Step[485/526], Loss: 0.7794
Epoch [60/100], Step[486/526], Loss: 0.7254
Epoch [60/100], Step[487/526], Loss: 0.7572
Epoch [60/100], Step[488/526], Loss: 0.6856
Epoch [60/100], Step[489/526], Loss: 0.5958
Epoch [60/100], Step[490/526], Loss: 0.6151
Epoch [60/100], Step[491/526], Loss: 0.7019
Epoch [60/100], Step[492/526], Loss: 0.6461
Epoch [60/100], Step[493/526], Loss: 0.6404
Epoch [60/100], Step[494/526], Loss: 0.6615
Epoch [60/100], Step[495/526], Loss: 0.6836
Epoch [60/100], Step[496/526], Loss: 0.6660
Epoch [60/100], Step[497/526], Loss: 0.6366
Epoch [60/100], Step[498/526], Loss: 0.6713
Epoch [60/100], Step[499/526], Loss: 0.6716
Epoch [60/100], Step[500/526], Loss: 0.6951
Epoch [60/100], Step[501/526], Loss: 0.6534
Epoch [60/100], Step[502/526], Loss: 0.6983
Epoch [60/100], Step[503/526], Loss: 0.7121
Epoch [60/100], Step[504/526], Loss: 0.7040
Epoch [60/100], Step[505/526], Loss: 0.7084
Epoch [60/100], Step[506/526], Loss: 0.6668
Epoch [60/100], Step[507/526], Loss: 0.6715
Epoch [60/100], Step[508/526], Loss: 0.6953
Epoch [60/100], Step[509/526], Loss: 0.6459
Epoch [60/100], Step[510/526], Loss: 0.7020
Epoch [60/100], Step[511/526], Loss: 0.6421
Epoch [60/100], Step[512/526], Loss: 0.6737
Epoch [60/100], Step[513/526], Loss: 0.6447
Epoch [60/100], Step[514/526], Loss: 0.6533
Epoch [60/100], Step[515/526], Loss: 0.5687
Epoch [60/100], Step[516/526], Loss: 0.7512
Epoch [60/100], Step[517/526], Loss: 0.6887
Epoch [60/100], Step[518/526], Loss: 0.7303
Epoch [60/100], Step[519/526], Loss: 0.7156
Epoch [60/100], Step[520/526], Loss: 0.6769
Epoch [60/100], Step[521/526], Loss: 0.5730
Epoch [60/100], Step[522/526], Loss: 0.5887
Epoch [60/100], Step[523/526], Loss: 0.6478
Epoch [60/100], Step[524/526], Loss: 0.6309
Epoch [60/100], Step[525/526], Loss: 0.7443
Epoch [60/100], Step[526/526], Loss: 0.7237
Epoch [61/100], Step[1/526], Loss: 0.6345
Epoch [61/100], Step[2/526], Loss: 0.6409
Epoch [61/100], Step[3/526], Loss: 0.6448
Epoch [61/100], Step[4/526], Loss: 0.6402
Epoch [61/100], Step[5/526], Loss: 0.7514
Epoch [61/100], Step[6/526], Loss: 0.7682
Epoch [61/100], Step[7/526], Loss: 0.6961
Epoch [61/100], Step[8/526], Loss: 0.6804
Epoch [61/100], Step[9/526], Loss: 0.7013
Epoch [61/100], Step[10/526], Loss: 0.6599
Epoch [61/100], Step[11/526], Loss: 0.6878
Epoch [61/100], Step[12/526], Loss: 0.7365
Epoch [61/100], Step[13/526], Loss: 0.5991
Epoch [61/100], Step[14/526], Loss: 0.6203
Epoch [61/100], Step[15/526], Loss: 0.6906
Epoch [61/100], Step[16/526], Loss: 0.7014
Epoch [61/100], Step[17/526], Loss: 0.7098
Epoch [61/100], Step[18/526], Loss: 0.6603
Epoch [61/100], Step[19/526], Loss: 0.6413
Epoch [61/100], Step[20/526], Loss: 0.7630
Epoch [61/100], Step[21/526], Loss: 0.7799
Epoch [61/100], Step[22/526], Loss: 0.7201
Epoch [61/100], Step[23/526], Loss: 0.7487
Epoch [61/100], Step[24/526], Loss: 0.7180
Epoch [61/100], Step[25/526], Loss: 0.6936
Epoch [61/100], Step[26/526], Loss: 0.6104
Epoch [61/100], Step[27/526], Loss: 0.6768
Epoch [61/100], Step[28/526], Loss: 0.6740
Epoch [61/100], Step[29/526], Loss: 0.6476
Epoch [61/100], Step[30/526], Loss: 0.6945
Epoch [61/100], Step[31/526], Loss: 0.6995
Epoch [61/100], Step[32/526], Loss: 0.6682
Epoch [61/100], Step[33/526], Loss: 0.7158
Epoch [61/100], Step[34/526], Loss: 0.6904
Epoch [61/100], Step[35/526], Loss: 0.6899
Epoch [61/100], Step[36/526], Loss: 0.7244
Epoch [61/100], Step[37/526], Loss: 0.6827
Epoch [61/100], Step[38/526], Loss: 0.6948
Epoch [61/100], Step[39/526], Loss: 0.7043
Epoch [61/100], Step[40/526], Loss: 0.7356
Epoch [61/100], Step[41/526], Loss: 0.7480
Epoch [61/100], Step[42/526], Loss: 0.6946
Epoch [61/100], Step[43/526], Loss: 0.7382
Epoch [61/100], Step[44/526], Loss: 0.6765
Epoch [61/100], Step[45/526], Loss: 0.6302
Epoch [61/100], Step[46/526], Loss: 0.6657
Epoch [61/100], Step[47/526], Loss: 0.7785
Epoch [61/100], Step[48/526], Loss: 0.7442
Epoch [61/100], Step[49/526], Loss: 0.7113
Epoch [61/100], Step[50/526], Loss: 0.6929
Epoch [61/100], Step[51/526], Loss: 0.7001
Epoch [61/100], Step[52/526], Loss: 0.6514
Epoch [61/100], Step[53/526], Loss: 0.6980
Epoch [61/100], Step[54/526], Loss: 0.7398
Epoch [61/100], Step[55/526], Loss: 0.7300
Epoch [61/100], Step[56/526], Loss: 0.6797
Epoch [61/100], Step[57/526], Loss: 0.6656
Epoch [61/100], Step[58/526], Loss: 0.6768
Epoch [61/100], Step[59/526], Loss: 0.6474
Epoch [61/100], Step[60/526], Loss: 0.6695
Epoch [61/100], Step[61/526], Loss: 0.6754
Epoch [61/100], Step[62/526], Loss: 0.6977
Epoch [61/100], Step[63/526], Loss: 0.6921
Epoch [61/100], Step[64/526], Loss: 0.6775
Epoch [61/100], Step[65/526], Loss: 0.7242
Epoch [61/100], Step[66/526], Loss: 0.6769
Epoch [61/100], Step[67/526], Loss: 0.6475
Epoch [61/100], Step[68/526], Loss: 0.6468
Epoch [61/100], Step[69/526], Loss: 0.6926
Epoch [61/100], Step[70/526], Loss: 0.6873
Epoch [61/100], Step[71/526], Loss: 0.6760
Epoch [61/100], Step[72/526], Loss: 0.6857
Epoch [61/100], Step[73/526], Loss: 0.7145
Epoch [61/100], Step[74/526], Loss: 0.6399
Epoch [61/100], Step[75/526], Loss: 0.6815
Epoch [61/100], Step[76/526], Loss: 0.6594
Epoch [61/100], Step[77/526], Loss: 0.6977
Epoch [61/100], Step[78/526], Loss: 0.7186
Epoch [61/100], Step[79/526], Loss: 0.6850
Epoch [61/100], Step[80/526], Loss: 0.6864
Epoch [61/100], Step[81/526], Loss: 0.6921
Epoch [61/100], Step[82/526], Loss: 0.7299
Epoch [61/100], Step[83/526], Loss: 0.6730
Epoch [61/100], Step[84/526], Loss: 0.6882
Epoch [61/100], Step[85/526], Loss: 0.6332
Epoch [61/100], Step[86/526], Loss: 0.6880
Epoch [61/100], Step[87/526], Loss: 0.6560
Epoch [61/100], Step[88/526], Loss: 0.6870
Epoch [61/100], Step[89/526], Loss: 0.7442
Epoch [61/100], Step[90/526], Loss: 0.8026
Epoch [61/100], Step[91/526], Loss: 0.6457
Epoch [61/100], Step[92/526], Loss: 0.6246
Epoch [61/100], Step[93/526], Loss: 0.7448
Epoch [61/100], Step[94/526], Loss: 0.6819
Epoch [61/100], Step[95/526], Loss: 0.7411
Epoch [61/100], Step[96/526], Loss: 0.8127
Epoch [61/100], Step[97/526], Loss: 0.7673
Epoch [61/100], Step[98/526], Loss: 0.7387
Epoch [61/100], Step[99/526], Loss: 0.7284
Epoch [61/100], Step[100/526], Loss: 0.7001
Epoch [61/100], Step[101/526], Loss: 0.6434
Epoch [61/100], Step[102/526], Loss: 0.6565
Epoch [61/100], Step[103/526], Loss: 0.7235
Epoch [61/100], Step[104/526], Loss: 0.6793
Epoch [61/100], Step[105/526], Loss: 0.6677
Epoch [61/100], Step[106/526], Loss: 0.6780
Epoch [61/100], Step[107/526], Loss: 0.6185
Epoch [61/100], Step[108/526], Loss: 0.5676
Epoch [61/100], Step[109/526], Loss: 0.6508
Epoch [61/100], Step[110/526], Loss: 0.6641
Epoch [61/100], Step[111/526], Loss: 0.6337
Epoch [61/100], Step[112/526], Loss: 0.7111
Epoch [61/100], Step[113/526], Loss: 0.6154
Epoch [61/100], Step[114/526], Loss: 0.6705
Epoch [61/100], Step[115/526], Loss: 0.6066
Epoch [61/100], Step[116/526], Loss: 0.6082
Epoch [61/100], Step[117/526], Loss: 0.6613
Epoch [61/100], Step[118/526], Loss: 0.7594
Epoch [61/100], Step[119/526], Loss: 0.6719
Epoch [61/100], Step[120/526], Loss: 0.6710
Epoch [61/100], Step[121/526], Loss: 0.6744
Epoch [61/100], Step[122/526], Loss: 0.6297
Epoch [61/100], Step[123/526], Loss: 0.6508
Epoch [61/100], Step[124/526], Loss: 0.6714
Epoch [61/100], Step[125/526], Loss: 0.6256
Epoch [61/100], Step[126/526], Loss: 0.7214
Epoch [61/100], Step[127/526], Loss: 0.6722
Epoch [61/100], Step[128/526], Loss: 0.6377
Epoch [61/100], Step[129/526], Loss: 0.5965
Epoch [61/100], Step[130/526], Loss: 0.6025
Epoch [61/100], Step[131/526], Loss: 0.6781
Epoch [61/100], Step[132/526], Loss: 0.7304
Epoch [61/100], Step[133/526], Loss: 0.6700
Epoch [61/100], Step[134/526], Loss: 0.6215
Epoch [61/100], Step[135/526], Loss: 0.6412
Epoch [61/100], Step[136/526], Loss: 0.5629
Epoch [61/100], Step[137/526], Loss: 0.6315
Epoch [61/100], Step[138/526], Loss: 0.6526
Epoch [61/100], Step[139/526], Loss: 0.7080
Epoch [61/100], Step[140/526], Loss: 0.5853
Epoch [61/100], Step[141/526], Loss: 0.6735
Epoch [61/100], Step[142/526], Loss: 0.6599
Epoch [61/100], Step[143/526], Loss: 0.6923
Epoch [61/100], Step[144/526], Loss: 0.7967
Epoch [61/100], Step[145/526], Loss: 0.5404
Epoch [61/100], Step[146/526], Loss: 0.5081
Epoch [61/100], Step[147/526], Loss: 0.4559
Epoch [61/100], Step[148/526], Loss: 0.6015
Epoch [61/100], Step[149/526], Loss: 0.4848
Epoch [61/100], Step[150/526], Loss: 0.5423
Epoch [61/100], Step[151/526], Loss: 0.5353
Epoch [61/100], Step[152/526], Loss: 0.6186
Epoch [61/100], Step[153/526], Loss: 0.6302
Epoch [61/100], Step[154/526], Loss: 0.7123
Epoch [61/100], Step[155/526], Loss: 0.6953
Epoch [61/100], Step[156/526], Loss: 0.5291
Epoch [61/100], Step[157/526], Loss: 0.2528
Epoch [61/100], Step[158/526], Loss: 0.5848
Epoch [61/100], Step[159/526], Loss: 0.6686
Epoch [61/100], Step[160/526], Loss: 0.5434
Epoch [61/100], Step[161/526], Loss: 0.9262
Epoch [61/100], Step[162/526], Loss: 0.6990
Epoch [61/100], Step[163/526], Loss: 0.7121
Epoch [61/100], Step[164/526], Loss: 0.6119
Epoch [61/100], Step[165/526], Loss: 0.7055
Epoch [61/100], Step[166/526], Loss: 0.4986
Epoch [61/100], Step[167/526], Loss: 0.5534
Epoch [61/100], Step[168/526], Loss: 0.7044
Epoch [61/100], Step[169/526], Loss: 0.7544
Epoch [61/100], Step[170/526], Loss: 0.7051
Epoch [61/100], Step[171/526], Loss: 0.7362
Epoch [61/100], Step[172/526], Loss: 0.7085
Epoch [61/100], Step[173/526], Loss: 0.8210
Epoch [61/100], Step[174/526], Loss: 0.6101
Epoch [61/100], Step[175/526], Loss: 0.6616
Epoch [61/100], Step[176/526], Loss: 0.6105
Epoch [61/100], Step[177/526], Loss: 0.6632
Epoch [61/100], Step[178/526], Loss: 0.6848
Epoch [61/100], Step[179/526], Loss: 0.6139
Epoch [61/100], Step[180/526], Loss: 0.6744
Epoch [61/100], Step[181/526], Loss: 0.6427
Epoch [61/100], Step[182/526], Loss: 0.6712
Epoch [61/100], Step[183/526], Loss: 0.5334
Epoch [61/100], Step[184/526], Loss: 0.5935
Epoch [61/100], Step[185/526], Loss: 0.6007
Epoch [61/100], Step[186/526], Loss: 0.6478
Epoch [61/100], Step[187/526], Loss: 0.7347
Epoch [61/100], Step[188/526], Loss: 0.6923
Epoch [61/100], Step[189/526], Loss: 0.6703
Epoch [61/100], Step[190/526], Loss: 0.6732
Epoch [61/100], Step[191/526], Loss: 0.7026
Epoch [61/100], Step[192/526], Loss: 0.8435
Epoch [61/100], Step[193/526], Loss: 0.6549
Epoch [61/100], Step[194/526], Loss: 0.6201
Epoch [61/100], Step[195/526], Loss: 0.6471
Epoch [61/100], Step[196/526], Loss: 0.7338
Epoch [61/100], Step[197/526], Loss: 0.6829
Epoch [61/100], Step[198/526], Loss: 0.6361
Epoch [61/100], Step[199/526], Loss: 0.7391
Epoch [61/100], Step[200/526], Loss: 0.6834
Epoch [61/100], Step[201/526], Loss: 0.6692
Epoch [61/100], Step[202/526], Loss: 0.7370
Epoch [61/100], Step[203/526], Loss: 0.7058
Epoch [61/100], Step[204/526], Loss: 0.7133
Epoch [61/100], Step[205/526], Loss: 0.6978
Epoch [61/100], Step[206/526], Loss: 0.6840
Epoch [61/100], Step[207/526], Loss: 0.7083
Epoch [61/100], Step[208/526], Loss: 0.6787
Epoch [61/100], Step[209/526], Loss: 0.6781
Epoch [61/100], Step[210/526], Loss: 0.7577
Epoch [61/100], Step[211/526], Loss: 0.6226
Epoch [61/100], Step[212/526], Loss: 0.6849
Epoch [61/100], Step[213/526], Loss: 0.7232
Epoch [61/100], Step[214/526], Loss: 0.7454
Epoch [61/100], Step[215/526], Loss: 0.6944
Epoch [61/100], Step[216/526], Loss: 0.6759
Epoch [61/100], Step[217/526], Loss: 0.6742
Epoch [61/100], Step[218/526], Loss: 0.6958
Epoch [61/100], Step[219/526], Loss: 0.6886
Epoch [61/100], Step[220/526], Loss: 0.7226
Epoch [61/100], Step[221/526], Loss: 0.6975
Epoch [61/100], Step[222/526], Loss: 0.7355
Epoch [61/100], Step[223/526], Loss: 0.6785
Epoch [61/100], Step[224/526], Loss: 0.6797
Epoch [61/100], Step[225/526], Loss: 0.7186
Epoch [61/100], Step[226/526], Loss: 0.6699
Epoch [61/100], Step[227/526], Loss: 0.6608
Epoch [61/100], Step[228/526], Loss: 0.6542
Epoch [61/100], Step[229/526], Loss: 0.6797
Epoch [61/100], Step[230/526], Loss: 0.6592
Epoch [61/100], Step[231/526], Loss: 0.6668
Epoch [61/100], Step[232/526], Loss: 0.7175
Epoch [61/100], Step[233/526], Loss: 0.6812
Epoch [61/100], Step[234/526], Loss: 0.6763
Epoch [61/100], Step[235/526], Loss: 0.6972
Epoch [61/100], Step[236/526], Loss: 0.6939
Epoch [61/100], Step[237/526], Loss: 0.7183
Epoch [61/100], Step[238/526], Loss: 0.6814
Epoch [61/100], Step[239/526], Loss: 0.6673
Epoch [61/100], Step[240/526], Loss: 0.7305
Epoch [61/100], Step[241/526], Loss: 0.6912
Epoch [61/100], Step[242/526], Loss: 0.7112
Epoch [61/100], Step[243/526], Loss: 0.6200
Epoch [61/100], Step[244/526], Loss: 0.6489
Epoch [61/100], Step[245/526], Loss: 0.6402
Epoch [61/100], Step[246/526], Loss: 0.6653
Epoch [61/100], Step[247/526], Loss: 0.6162
Epoch [61/100], Step[248/526], Loss: 0.6547
Epoch [61/100], Step[249/526], Loss: 0.6650
Epoch [61/100], Step[250/526], Loss: 0.6807
Epoch [61/100], Step[251/526], Loss: 0.7038
Epoch [61/100], Step[252/526], Loss: 0.6953
Epoch [61/100], Step[253/526], Loss: 0.6307
Epoch [61/100], Step[254/526], Loss: 0.6687
Epoch [61/100], Step[255/526], Loss: 0.5971
Epoch [61/100], Step[256/526], Loss: 0.6916
Epoch [61/100], Step[257/526], Loss: 0.6556
Epoch [61/100], Step[258/526], Loss: 0.6241
Epoch [61/100], Step[259/526], Loss: 0.6825
Epoch [61/100], Step[260/526], Loss: 0.7531
Epoch [61/100], Step[261/526], Loss: 0.7543
Epoch [61/100], Step[262/526], Loss: 0.6776
Epoch [61/100], Step[263/526], Loss: 0.6600
Epoch [61/100], Step[264/526], Loss: 0.6249
Epoch [61/100], Step[265/526], Loss: 0.6157
Epoch [61/100], Step[266/526], Loss: 0.6244
Epoch [61/100], Step[267/526], Loss: 0.4970
Epoch [61/100], Step[268/526], Loss: 0.5407
Epoch [61/100], Step[269/526], Loss: 0.4483
Epoch [61/100], Step[270/526], Loss: 0.3722
Epoch [61/100], Step[271/526], Loss: 0.5056
Epoch [61/100], Step[272/526], Loss: 0.5229
Epoch [61/100], Step[273/526], Loss: 0.6392
Epoch [61/100], Step[274/526], Loss: 0.4244
Epoch [61/100], Step[275/526], Loss: 0.4125
Epoch [61/100], Step[276/526], Loss: 0.4706
Epoch [61/100], Step[277/526], Loss: 0.4203
Epoch [61/100], Step[278/526], Loss: 0.4485
Epoch [61/100], Step[279/526], Loss: 0.4070
Epoch [61/100], Step[280/526], Loss: 0.4418
Epoch [61/100], Step[281/526], Loss: 0.6291
Epoch [61/100], Step[282/526], Loss: 0.3527
Epoch [61/100], Step[283/526], Loss: 0.3703
Epoch [61/100], Step[284/526], Loss: 0.4054
Epoch [61/100], Step[285/526], Loss: 0.2728
Epoch [61/100], Step[286/526], Loss: 0.6983
Epoch [61/100], Step[287/526], Loss: 0.4812
Epoch [61/100], Step[288/526], Loss: 0.4318
Epoch [61/100], Step[289/526], Loss: 0.6194
Epoch [61/100], Step[290/526], Loss: 0.4260
Epoch [61/100], Step[291/526], Loss: 0.4795
Epoch [61/100], Step[292/526], Loss: 0.2620
Epoch [61/100], Step[293/526], Loss: 0.3052
Epoch [61/100], Step[294/526], Loss: 0.3157
Epoch [61/100], Step[295/526], Loss: 0.4251
Epoch [61/100], Step[296/526], Loss: 0.6249
Epoch [61/100], Step[297/526], Loss: 0.3071
Epoch [61/100], Step[298/526], Loss: 0.2821
Epoch [61/100], Step[299/526], Loss: 0.2373
Epoch [61/100], Step[300/526], Loss: 0.2850
Epoch [61/100], Step[301/526], Loss: 0.6237
Epoch [61/100], Step[302/526], Loss: 0.3254
Epoch [61/100], Step[303/526], Loss: 0.4727
Epoch [61/100], Step[304/526], Loss: 0.2610
Epoch [61/100], Step[305/526], Loss: 0.2610
Epoch [61/100], Step[306/526], Loss: 0.5881
Epoch [61/100], Step[307/526], Loss: 0.8941
Epoch [61/100], Step[308/526], Loss: 1.3217
Epoch [61/100], Step[309/526], Loss: 0.8318
Epoch [61/100], Step[310/526], Loss: 0.9537
Epoch [61/100], Step[311/526], Loss: 0.8205
Epoch [61/100], Step[312/526], Loss: 0.4901
Epoch [61/100], Step[313/526], Loss: 0.4840
Epoch [61/100], Step[314/526], Loss: 0.6553
Epoch [61/100], Step[315/526], Loss: 0.7119
Epoch [61/100], Step[316/526], Loss: 0.4929
Epoch [61/100], Step[317/526], Loss: 0.3240
Epoch [61/100], Step[318/526], Loss: 0.7782
Epoch [61/100], Step[319/526], Loss: 0.3582
Epoch [61/100], Step[320/526], Loss: 0.6324
Epoch [61/100], Step[321/526], Loss: 0.7027
Epoch [61/100], Step[322/526], Loss: 0.2711
Epoch [61/100], Step[323/526], Loss: 0.6166
Epoch [61/100], Step[324/526], Loss: 0.6554
Epoch [61/100], Step[325/526], Loss: 0.5918
Epoch [61/100], Step[326/526], Loss: 0.7480
Epoch [61/100], Step[327/526], Loss: 0.7294
Epoch [61/100], Step[328/526], Loss: 0.9367
Epoch [61/100], Step[329/526], Loss: 1.2775
Epoch [61/100], Step[330/526], Loss: 1.0484
Epoch [61/100], Step[331/526], Loss: 0.7779
Epoch [61/100], Step[332/526], Loss: 0.8248
Epoch [61/100], Step[333/526], Loss: 0.7651
Epoch [61/100], Step[334/526], Loss: 0.7678
Epoch [61/100], Step[335/526], Loss: 0.7783
Epoch [61/100], Step[336/526], Loss: 0.6937
Epoch [61/100], Step[337/526], Loss: 0.5917
Epoch [61/100], Step[338/526], Loss: 0.7039
Epoch [61/100], Step[339/526], Loss: 0.6384
Epoch [61/100], Step[340/526], Loss: 0.7189
Epoch [61/100], Step[341/526], Loss: 0.7611
Epoch [61/100], Step[342/526], Loss: 0.7771
Epoch [61/100], Step[343/526], Loss: 0.5383
Epoch [61/100], Step[344/526], Loss: 0.7293
Epoch [61/100], Step[345/526], Loss: 0.6516
Epoch [61/100], Step[346/526], Loss: 0.6700
Epoch [61/100], Step[347/526], Loss: 0.7123
Epoch [61/100], Step[348/526], Loss: 0.6287
Epoch [61/100], Step[349/526], Loss: 0.5719
Epoch [61/100], Step[350/526], Loss: 0.6699
Epoch [61/100], Step[351/526], Loss: 0.7123
Epoch [61/100], Step[352/526], Loss: 0.6118
Epoch [61/100], Step[353/526], Loss: 0.6843
Epoch [61/100], Step[354/526], Loss: 0.6674
Epoch [61/100], Step[355/526], Loss: 0.6692
Epoch [61/100], Step[356/526], Loss: 0.7003
Epoch [61/100], Step[357/526], Loss: 0.6604
Epoch [61/100], Step[358/526], Loss: 0.6978
Epoch [61/100], Step[359/526], Loss: 0.6439
Epoch [61/100], Step[360/526], Loss: 0.6826
Epoch [61/100], Step[361/526], Loss: 0.7272
Epoch [61/100], Step[362/526], Loss: 0.7071
Epoch [61/100], Step[363/526], Loss: 0.6927
Epoch [61/100], Step[364/526], Loss: 0.7180
Epoch [61/100], Step[365/526], Loss: 0.7182
Epoch [61/100], Step[366/526], Loss: 0.6850
Epoch [61/100], Step[367/526], Loss: 0.6912
Epoch [61/100], Step[368/526], Loss: 0.6493
Epoch [61/100], Step[369/526], Loss: 0.6578
Epoch [61/100], Step[370/526], Loss: 0.5141
Epoch [61/100], Step[371/526], Loss: 0.7375
Epoch [61/100], Step[372/526], Loss: 0.6385
Epoch [61/100], Step[373/526], Loss: 0.6799
Epoch [61/100], Step[374/526], Loss: 0.7075
Epoch [61/100], Step[375/526], Loss: 0.6508
Epoch [61/100], Step[376/526], Loss: 0.6503
Epoch [61/100], Step[377/526], Loss: 0.6936
Epoch [61/100], Step[378/526], Loss: 0.6890
Epoch [61/100], Step[379/526], Loss: 0.7485
Epoch [61/100], Step[380/526], Loss: 0.6076
Epoch [61/100], Step[381/526], Loss: 0.5948
Epoch [61/100], Step[382/526], Loss: 0.6759
Epoch [61/100], Step[383/526], Loss: 0.7032
Epoch [61/100], Step[384/526], Loss: 0.6370
Epoch [61/100], Step[385/526], Loss: 0.6189
Epoch [61/100], Step[386/526], Loss: 0.6724
Epoch [61/100], Step[387/526], Loss: 0.6438
Epoch [61/100], Step[388/526], Loss: 0.6013
Epoch [61/100], Step[389/526], Loss: 0.7187
Epoch [61/100], Step[390/526], Loss: 0.5772
Epoch [61/100], Step[391/526], Loss: 0.6546
Epoch [61/100], Step[392/526], Loss: 0.6975
Epoch [61/100], Step[393/526], Loss: 0.5845
Epoch [61/100], Step[394/526], Loss: 0.5109
Epoch [61/100], Step[395/526], Loss: 0.5886
Epoch [61/100], Step[396/526], Loss: 0.6272
Epoch [61/100], Step[397/526], Loss: 0.4615
Epoch [61/100], Step[398/526], Loss: 0.6022
Epoch [61/100], Step[399/526], Loss: 0.6536
Epoch [61/100], Step[400/526], Loss: 0.4702
Epoch [61/100], Step[401/526], Loss: 0.6034
Epoch [61/100], Step[402/526], Loss: 0.6370
Epoch [61/100], Step[403/526], Loss: 0.7670
Epoch [61/100], Step[404/526], Loss: 0.4802
Epoch [61/100], Step[405/526], Loss: 0.5018
Epoch [61/100], Step[406/526], Loss: 0.6302
Epoch [61/100], Step[407/526], Loss: 0.7532
Epoch [61/100], Step[408/526], Loss: 0.6525
Epoch [61/100], Step[409/526], Loss: 0.4839
Epoch [61/100], Step[410/526], Loss: 0.4886
Epoch [61/100], Step[411/526], Loss: 0.5347
Epoch [61/100], Step[412/526], Loss: 0.5944
Epoch [61/100], Step[413/526], Loss: 0.6011
Epoch [61/100], Step[414/526], Loss: 0.6425
Epoch [61/100], Step[415/526], Loss: 0.6045
Epoch [61/100], Step[416/526], Loss: 0.5459
Epoch [61/100], Step[417/526], Loss: 0.4482
Epoch [61/100], Step[418/526], Loss: 0.7392
Epoch [61/100], Step[419/526], Loss: 0.6894
Epoch [61/100], Step[420/526], Loss: 0.6802
Epoch [61/100], Step[421/526], Loss: 0.6460
Epoch [61/100], Step[422/526], Loss: 0.7668
Epoch [61/100], Step[423/526], Loss: 0.6963
Epoch [61/100], Step[424/526], Loss: 0.7399
Epoch [61/100], Step[425/526], Loss: 0.6969
Epoch [61/100], Step[426/526], Loss: 0.7673
Epoch [61/100], Step[427/526], Loss: 0.7053
Epoch [61/100], Step[428/526], Loss: 0.7149
Epoch [61/100], Step[429/526], Loss: 0.7280
Epoch [61/100], Step[430/526], Loss: 0.7870
Epoch [61/100], Step[431/526], Loss: 0.7045
Epoch [61/100], Step[432/526], Loss: 0.7294
Epoch [61/100], Step[433/526], Loss: 0.6732
Epoch [61/100], Step[434/526], Loss: 0.6107
Epoch [61/100], Step[435/526], Loss: 0.7808
Epoch [61/100], Step[436/526], Loss: 0.8074
Epoch [61/100], Step[437/526], Loss: 0.4875
Epoch [61/100], Step[438/526], Loss: 0.3563
Epoch [61/100], Step[439/526], Loss: 0.7239
Epoch [61/100], Step[440/526], Loss: 0.6863
Epoch [61/100], Step[441/526], Loss: 0.6908
Epoch [61/100], Step[442/526], Loss: 0.6414
Epoch [61/100], Step[443/526], Loss: 0.6696
Epoch [61/100], Step[444/526], Loss: 0.7535
Epoch [61/100], Step[445/526], Loss: 0.7047
Epoch [61/100], Step[446/526], Loss: 0.7101
Epoch [61/100], Step[447/526], Loss: 0.7184
Epoch [61/100], Step[448/526], Loss: 0.7184
Epoch [61/100], Step[449/526], Loss: 0.6725
Epoch [61/100], Step[450/526], Loss: 0.5992
Epoch [61/100], Step[451/526], Loss: 0.6594
Epoch [61/100], Step[452/526], Loss: 0.7229
Epoch [61/100], Step[453/526], Loss: 0.7067
Epoch [61/100], Step[454/526], Loss: 0.8349
Epoch [61/100], Step[455/526], Loss: 0.6484
Epoch [61/100], Step[456/526], Loss: 0.6450
Epoch [61/100], Step[457/526], Loss: 0.7140
Epoch [61/100], Step[458/526], Loss: 0.6733
Epoch [61/100], Step[459/526], Loss: 0.6566
Epoch [61/100], Step[460/526], Loss: 0.6453
Epoch [61/100], Step[461/526], Loss: 0.6147
Epoch [61/100], Step[462/526], Loss: 0.6624
Epoch [61/100], Step[463/526], Loss: 0.6529
Epoch [61/100], Step[464/526], Loss: 0.6442
Epoch [61/100], Step[465/526], Loss: 0.6571
Epoch [61/100], Step[466/526], Loss: 0.6813
Epoch [61/100], Step[467/526], Loss: 0.6371
Epoch [61/100], Step[468/526], Loss: 0.6175
Epoch [61/100], Step[469/526], Loss: 0.8135
Epoch [61/100], Step[470/526], Loss: 0.6592
Epoch [61/100], Step[471/526], Loss: 0.6895
Epoch [61/100], Step[472/526], Loss: 0.6773
Epoch [61/100], Step[473/526], Loss: 0.6778
Epoch [61/100], Step[474/526], Loss: 0.6791
Epoch [61/100], Step[475/526], Loss: 0.8370
Epoch [61/100], Step[476/526], Loss: 0.7374
Epoch [61/100], Step[477/526], Loss: 0.7060
Epoch [61/100], Step[478/526], Loss: 0.6832
Epoch [61/100], Step[479/526], Loss: 0.6571
Epoch [61/100], Step[480/526], Loss: 0.7321
Epoch [61/100], Step[481/526], Loss: 0.7325
Epoch [61/100], Step[482/526], Loss: 0.6220
Epoch [61/100], Step[483/526], Loss: 0.5432
Epoch [61/100], Step[484/526], Loss: 0.6920
Epoch [61/100], Step[485/526], Loss: 0.7733
Epoch [61/100], Step[486/526], Loss: 0.7245
Epoch [61/100], Step[487/526], Loss: 0.7531
Epoch [61/100], Step[488/526], Loss: 0.6930
Epoch [61/100], Step[489/526], Loss: 0.6059
Epoch [61/100], Step[490/526], Loss: 0.6140
Epoch [61/100], Step[491/526], Loss: 0.7008
Epoch [61/100], Step[492/526], Loss: 0.6472
Epoch [61/100], Step[493/526], Loss: 0.6408
Epoch [61/100], Step[494/526], Loss: 0.6610
Epoch [61/100], Step[495/526], Loss: 0.6850
Epoch [61/100], Step[496/526], Loss: 0.6661
Epoch [61/100], Step[497/526], Loss: 0.6371
Epoch [61/100], Step[498/526], Loss: 0.6709
Epoch [61/100], Step[499/526], Loss: 0.6698
Epoch [61/100], Step[500/526], Loss: 0.6893
Epoch [61/100], Step[501/526], Loss: 0.6552
Epoch [61/100], Step[502/526], Loss: 0.6959
Epoch [61/100], Step[503/526], Loss: 0.7125
Epoch [61/100], Step[504/526], Loss: 0.7006
Epoch [61/100], Step[505/526], Loss: 0.7087
Epoch [61/100], Step[506/526], Loss: 0.6716
Epoch [61/100], Step[507/526], Loss: 0.6715
Epoch [61/100], Step[508/526], Loss: 0.6968
Epoch [61/100], Step[509/526], Loss: 0.6467
Epoch [61/100], Step[510/526], Loss: 0.7014
Epoch [61/100], Step[511/526], Loss: 0.6427
Epoch [61/100], Step[512/526], Loss: 0.6736
Epoch [61/100], Step[513/526], Loss: 0.6464
Epoch [61/100], Step[514/526], Loss: 0.6535
Epoch [61/100], Step[515/526], Loss: 0.5720
Epoch [61/100], Step[516/526], Loss: 0.7502
Epoch [61/100], Step[517/526], Loss: 0.6907
Epoch [61/100], Step[518/526], Loss: 0.7299
Epoch [61/100], Step[519/526], Loss: 0.7159
Epoch [61/100], Step[520/526], Loss: 0.6770
Epoch [61/100], Step[521/526], Loss: 0.6190
Epoch [61/100], Step[522/526], Loss: 0.6020
Epoch [61/100], Step[523/526], Loss: 0.6476
Epoch [61/100], Step[524/526], Loss: 0.6287
Epoch [61/100], Step[525/526], Loss: 0.7481
Epoch [61/100], Step[526/526], Loss: 0.7209
Epoch [62/100], Step[1/526], Loss: 0.6474
Epoch [62/100], Step[2/526], Loss: 0.6400
Epoch [62/100], Step[3/526], Loss: 0.6669
Epoch [62/100], Step[4/526], Loss: 0.6296
Epoch [62/100], Step[5/526], Loss: 0.7411
Epoch [62/100], Step[6/526], Loss: 0.7637
Epoch [62/100], Step[7/526], Loss: 0.6923
Epoch [62/100], Step[8/526], Loss: 0.6798
Epoch [62/100], Step[9/526], Loss: 0.7008
Epoch [62/100], Step[10/526], Loss: 0.6545
Epoch [62/100], Step[11/526], Loss: 0.7022
Epoch [62/100], Step[12/526], Loss: 0.7452
Epoch [62/100], Step[13/526], Loss: 0.6017
Epoch [62/100], Step[14/526], Loss: 0.6368
Epoch [62/100], Step[15/526], Loss: 0.6857
Epoch [62/100], Step[16/526], Loss: 0.7003
Epoch [62/100], Step[17/526], Loss: 0.7102
Epoch [62/100], Step[18/526], Loss: 0.6817
Epoch [62/100], Step[19/526], Loss: 0.6721
Epoch [62/100], Step[20/526], Loss: 0.7527
Epoch [62/100], Step[21/526], Loss: 0.7733
Epoch [62/100], Step[22/526], Loss: 0.7349
Epoch [62/100], Step[23/526], Loss: 0.7286
Epoch [62/100], Step[24/526], Loss: 0.7210
Epoch [62/100], Step[25/526], Loss: 0.6944
Epoch [62/100], Step[26/526], Loss: 0.6060
Epoch [62/100], Step[27/526], Loss: 0.6751
Epoch [62/100], Step[28/526], Loss: 0.6893
Epoch [62/100], Step[29/526], Loss: 0.6495
Epoch [62/100], Step[30/526], Loss: 0.6972
Epoch [62/100], Step[31/526], Loss: 0.7029
Epoch [62/100], Step[32/526], Loss: 0.6668
Epoch [62/100], Step[33/526], Loss: 0.7144
Epoch [62/100], Step[34/526], Loss: 0.6907
Epoch [62/100], Step[35/526], Loss: 0.6987
Epoch [62/100], Step[36/526], Loss: 0.7050
Epoch [62/100], Step[37/526], Loss: 0.6877
Epoch [62/100], Step[38/526], Loss: 0.7086
Epoch [62/100], Step[39/526], Loss: 0.6879
Epoch [62/100], Step[40/526], Loss: 0.7029
Epoch [62/100], Step[41/526], Loss: 0.6940
Epoch [62/100], Step[42/526], Loss: 0.7100
Epoch [62/100], Step[43/526], Loss: 0.7302
Epoch [62/100], Step[44/526], Loss: 0.6787
Epoch [62/100], Step[45/526], Loss: 0.6514
Epoch [62/100], Step[46/526], Loss: 0.6672
Epoch [62/100], Step[47/526], Loss: 0.7426
Epoch [62/100], Step[48/526], Loss: 0.7322
Epoch [62/100], Step[49/526], Loss: 0.7050
Epoch [62/100], Step[50/526], Loss: 0.6901
Epoch [62/100], Step[51/526], Loss: 0.6965
Epoch [62/100], Step[52/526], Loss: 0.6411
Epoch [62/100], Step[53/526], Loss: 0.6836
Epoch [62/100], Step[54/526], Loss: 0.7530
Epoch [62/100], Step[55/526], Loss: 0.7339
Epoch [62/100], Step[56/526], Loss: 0.6856
Epoch [62/100], Step[57/526], Loss: 0.6689
Epoch [62/100], Step[58/526], Loss: 0.6877
Epoch [62/100], Step[59/526], Loss: 0.6464
Epoch [62/100], Step[60/526], Loss: 0.6782
Epoch [62/100], Step[61/526], Loss: 0.6737
Epoch [62/100], Step[62/526], Loss: 0.6926
Epoch [62/100], Step[63/526], Loss: 0.6841
Epoch [62/100], Step[64/526], Loss: 0.6798
Epoch [62/100], Step[65/526], Loss: 0.7246
Epoch [62/100], Step[66/526], Loss: 0.6736
Epoch [62/100], Step[67/526], Loss: 0.6452
Epoch [62/100], Step[68/526], Loss: 0.6463
Epoch [62/100], Step[69/526], Loss: 0.6914
Epoch [62/100], Step[70/526], Loss: 0.6875
Epoch [62/100], Step[71/526], Loss: 0.6786
Epoch [62/100], Step[72/526], Loss: 0.6866
Epoch [62/100], Step[73/526], Loss: 0.7157
Epoch [62/100], Step[74/526], Loss: 0.6434
Epoch [62/100], Step[75/526], Loss: 0.6827
Epoch [62/100], Step[76/526], Loss: 0.6648
Epoch [62/100], Step[77/526], Loss: 0.6977
Epoch [62/100], Step[78/526], Loss: 0.7180
Epoch [62/100], Step[79/526], Loss: 0.6862
Epoch [62/100], Step[80/526], Loss: 0.6871
Epoch [62/100], Step[81/526], Loss: 0.6960
Epoch [62/100], Step[82/526], Loss: 0.7355
Epoch [62/100], Step[83/526], Loss: 0.6856
Epoch [62/100], Step[84/526], Loss: 0.6898
Epoch [62/100], Step[85/526], Loss: 0.6436
Epoch [62/100], Step[86/526], Loss: 0.6882
Epoch [62/100], Step[87/526], Loss: 0.6762
Epoch [62/100], Step[88/526], Loss: 0.6840
Epoch [62/100], Step[89/526], Loss: 0.7108
Epoch [62/100], Step[90/526], Loss: 0.7112
Epoch [62/100], Step[91/526], Loss: 0.6689
Epoch [62/100], Step[92/526], Loss: 0.6419
Epoch [62/100], Step[93/526], Loss: 0.6913
Epoch [62/100], Step[94/526], Loss: 0.7937
Epoch [62/100], Step[95/526], Loss: 0.7307
Epoch [62/100], Step[96/526], Loss: 0.6947
Epoch [62/100], Step[97/526], Loss: 0.6743
Epoch [62/100], Step[98/526], Loss: 0.7046
Epoch [62/100], Step[99/526], Loss: 0.7000
Epoch [62/100], Step[100/526], Loss: 0.6853
Epoch [62/100], Step[101/526], Loss: 0.6393
Epoch [62/100], Step[102/526], Loss: 0.6376
Epoch [62/100], Step[103/526], Loss: 0.6989
Epoch [62/100], Step[104/526], Loss: 0.6669
Epoch [62/100], Step[105/526], Loss: 0.6668
Epoch [62/100], Step[106/526], Loss: 0.6835
Epoch [62/100], Step[107/526], Loss: 0.6256
Epoch [62/100], Step[108/526], Loss: 0.5636
Epoch [62/100], Step[109/526], Loss: 0.6730
Epoch [62/100], Step[110/526], Loss: 0.6719
Epoch [62/100], Step[111/526], Loss: 0.6037
Epoch [62/100], Step[112/526], Loss: 0.7244
Epoch [62/100], Step[113/526], Loss: 0.6058
Epoch [62/100], Step[114/526], Loss: 0.6652
Epoch [62/100], Step[115/526], Loss: 0.6012
Epoch [62/100], Step[116/526], Loss: 0.6155
Epoch [62/100], Step[117/526], Loss: 0.6486
Epoch [62/100], Step[118/526], Loss: 0.7580
Epoch [62/100], Step[119/526], Loss: 0.6749
Epoch [62/100], Step[120/526], Loss: 0.6763
Epoch [62/100], Step[121/526], Loss: 0.6761
Epoch [62/100], Step[122/526], Loss: 0.6246
Epoch [62/100], Step[123/526], Loss: 0.6491
Epoch [62/100], Step[124/526], Loss: 0.6766
Epoch [62/100], Step[125/526], Loss: 0.6298
Epoch [62/100], Step[126/526], Loss: 0.7212
Epoch [62/100], Step[127/526], Loss: 0.6798
Epoch [62/100], Step[128/526], Loss: 0.6381
Epoch [62/100], Step[129/526], Loss: 0.5905
Epoch [62/100], Step[130/526], Loss: 0.6056
Epoch [62/100], Step[131/526], Loss: 0.6617
Epoch [62/100], Step[132/526], Loss: 0.7185
Epoch [62/100], Step[133/526], Loss: 0.6735
Epoch [62/100], Step[134/526], Loss: 0.6257
Epoch [62/100], Step[135/526], Loss: 0.6437
Epoch [62/100], Step[136/526], Loss: 0.5650
Epoch [62/100], Step[137/526], Loss: 0.6370
Epoch [62/100], Step[138/526], Loss: 0.6385
Epoch [62/100], Step[139/526], Loss: 0.7045
Epoch [62/100], Step[140/526], Loss: 0.5900
Epoch [62/100], Step[141/526], Loss: 0.6738
Epoch [62/100], Step[142/526], Loss: 0.6617
Epoch [62/100], Step[143/526], Loss: 0.6899
Epoch [62/100], Step[144/526], Loss: 0.7907
Epoch [62/100], Step[145/526], Loss: 0.5507
Epoch [62/100], Step[146/526], Loss: 0.5106
Epoch [62/100], Step[147/526], Loss: 0.4559
Epoch [62/100], Step[148/526], Loss: 0.6060
Epoch [62/100], Step[149/526], Loss: 0.4780
Epoch [62/100], Step[150/526], Loss: 0.5674
Epoch [62/100], Step[151/526], Loss: 0.5459
Epoch [62/100], Step[152/526], Loss: 0.6228
Epoch [62/100], Step[153/526], Loss: 0.6331
Epoch [62/100], Step[154/526], Loss: 0.7146
Epoch [62/100], Step[155/526], Loss: 0.6969
Epoch [62/100], Step[156/526], Loss: 0.5294
Epoch [62/100], Step[157/526], Loss: 0.2561
Epoch [62/100], Step[158/526], Loss: 0.5956
Epoch [62/100], Step[159/526], Loss: 0.6694
Epoch [62/100], Step[160/526], Loss: 0.5429
Epoch [62/100], Step[161/526], Loss: 0.9245
Epoch [62/100], Step[162/526], Loss: 0.6992
Epoch [62/100], Step[163/526], Loss: 0.7114
Epoch [62/100], Step[164/526], Loss: 0.6127
Epoch [62/100], Step[165/526], Loss: 0.7015
Epoch [62/100], Step[166/526], Loss: 0.4993
Epoch [62/100], Step[167/526], Loss: 0.5567
Epoch [62/100], Step[168/526], Loss: 0.7055
Epoch [62/100], Step[169/526], Loss: 0.7585
Epoch [62/100], Step[170/526], Loss: 0.7037
Epoch [62/100], Step[171/526], Loss: 0.7402
Epoch [62/100], Step[172/526], Loss: 0.7083
Epoch [62/100], Step[173/526], Loss: 0.8263
Epoch [62/100], Step[174/526], Loss: 0.6175
Epoch [62/100], Step[175/526], Loss: 0.6607
Epoch [62/100], Step[176/526], Loss: 0.6109
Epoch [62/100], Step[177/526], Loss: 0.6614
Epoch [62/100], Step[178/526], Loss: 0.6844
Epoch [62/100], Step[179/526], Loss: 0.6156
Epoch [62/100], Step[180/526], Loss: 0.6748
Epoch [62/100], Step[181/526], Loss: 0.6432
Epoch [62/100], Step[182/526], Loss: 0.6748
Epoch [62/100], Step[183/526], Loss: 0.5336
Epoch [62/100], Step[184/526], Loss: 0.5954
Epoch [62/100], Step[185/526], Loss: 0.5974
Epoch [62/100], Step[186/526], Loss: 0.6481
Epoch [62/100], Step[187/526], Loss: 0.7355
Epoch [62/100], Step[188/526], Loss: 0.6914
Epoch [62/100], Step[189/526], Loss: 0.6706
Epoch [62/100], Step[190/526], Loss: 0.6598
Epoch [62/100], Step[191/526], Loss: 0.6985
Epoch [62/100], Step[192/526], Loss: 0.8218
Epoch [62/100], Step[193/526], Loss: 0.6558
Epoch [62/100], Step[194/526], Loss: 0.6169
Epoch [62/100], Step[195/526], Loss: 0.6477
Epoch [62/100], Step[196/526], Loss: 0.7348
Epoch [62/100], Step[197/526], Loss: 0.6811
Epoch [62/100], Step[198/526], Loss: 0.6360
Epoch [62/100], Step[199/526], Loss: 0.7387
Epoch [62/100], Step[200/526], Loss: 0.6832
Epoch [62/100], Step[201/526], Loss: 0.6690
Epoch [62/100], Step[202/526], Loss: 0.7358
Epoch [62/100], Step[203/526], Loss: 0.7066
Epoch [62/100], Step[204/526], Loss: 0.7133
Epoch [62/100], Step[205/526], Loss: 0.6974
Epoch [62/100], Step[206/526], Loss: 0.6841
Epoch [62/100], Step[207/526], Loss: 0.7078
Epoch [62/100], Step[208/526], Loss: 0.6787
Epoch [62/100], Step[209/526], Loss: 0.6772
Epoch [62/100], Step[210/526], Loss: 0.7595
Epoch [62/100], Step[211/526], Loss: 0.6223
Epoch [62/100], Step[212/526], Loss: 0.6839
Epoch [62/100], Step[213/526], Loss: 0.7227
Epoch [62/100], Step[214/526], Loss: 0.7466
Epoch [62/100], Step[215/526], Loss: 0.6943
Epoch [62/100], Step[216/526], Loss: 0.6758
Epoch [62/100], Step[217/526], Loss: 0.6740
Epoch [62/100], Step[218/526], Loss: 0.6964
Epoch [62/100], Step[219/526], Loss: 0.6888
Epoch [62/100], Step[220/526], Loss: 0.7237
Epoch [62/100], Step[221/526], Loss: 0.6972
Epoch [62/100], Step[222/526], Loss: 0.7372
Epoch [62/100], Step[223/526], Loss: 0.6782
Epoch [62/100], Step[224/526], Loss: 0.6792
Epoch [62/100], Step[225/526], Loss: 0.7196
Epoch [62/100], Step[226/526], Loss: 0.6682
Epoch [62/100], Step[227/526], Loss: 0.6606
Epoch [62/100], Step[228/526], Loss: 0.6536
Epoch [62/100], Step[229/526], Loss: 0.6788
Epoch [62/100], Step[230/526], Loss: 0.6588
Epoch [62/100], Step[231/526], Loss: 0.6667
Epoch [62/100], Step[232/526], Loss: 0.7177
Epoch [62/100], Step[233/526], Loss: 0.6818
Epoch [62/100], Step[234/526], Loss: 0.6762
Epoch [62/100], Step[235/526], Loss: 0.6964
Epoch [62/100], Step[236/526], Loss: 0.6938
Epoch [62/100], Step[237/526], Loss: 0.7184
Epoch [62/100], Step[238/526], Loss: 0.6812
Epoch [62/100], Step[239/526], Loss: 0.6662
Epoch [62/100], Step[240/526], Loss: 0.7299
Epoch [62/100], Step[241/526], Loss: 0.6902
Epoch [62/100], Step[242/526], Loss: 0.7111
Epoch [62/100], Step[243/526], Loss: 0.6316
Epoch [62/100], Step[244/526], Loss: 0.6480
Epoch [62/100], Step[245/526], Loss: 0.6401
Epoch [62/100], Step[246/526], Loss: 0.6649
Epoch [62/100], Step[247/526], Loss: 0.6137
Epoch [62/100], Step[248/526], Loss: 0.6548
Epoch [62/100], Step[249/526], Loss: 0.6646
Epoch [62/100], Step[250/526], Loss: 0.6807
Epoch [62/100], Step[251/526], Loss: 0.7034
Epoch [62/100], Step[252/526], Loss: 0.6959
Epoch [62/100], Step[253/526], Loss: 0.6316
Epoch [62/100], Step[254/526], Loss: 0.6694
Epoch [62/100], Step[255/526], Loss: 0.5967
Epoch [62/100], Step[256/526], Loss: 0.6911
Epoch [62/100], Step[257/526], Loss: 0.6543
Epoch [62/100], Step[258/526], Loss: 0.6237
Epoch [62/100], Step[259/526], Loss: 0.6820
Epoch [62/100], Step[260/526], Loss: 0.7526
Epoch [62/100], Step[261/526], Loss: 0.7535
Epoch [62/100], Step[262/526], Loss: 0.6772
Epoch [62/100], Step[263/526], Loss: 0.6597
Epoch [62/100], Step[264/526], Loss: 0.6240
Epoch [62/100], Step[265/526], Loss: 0.6136
Epoch [62/100], Step[266/526], Loss: 0.6234
Epoch [62/100], Step[267/526], Loss: 0.4929
Epoch [62/100], Step[268/526], Loss: 0.5410
Epoch [62/100], Step[269/526], Loss: 0.4484
Epoch [62/100], Step[270/526], Loss: 0.3722
Epoch [62/100], Step[271/526], Loss: 0.5064
Epoch [62/100], Step[272/526], Loss: 0.5241
Epoch [62/100], Step[273/526], Loss: 0.6383
Epoch [62/100], Step[274/526], Loss: 0.4230
Epoch [62/100], Step[275/526], Loss: 0.4069
Epoch [62/100], Step[276/526], Loss: 0.4697
Epoch [62/100], Step[277/526], Loss: 0.4182
Epoch [62/100], Step[278/526], Loss: 0.4487
Epoch [62/100], Step[279/526], Loss: 0.4076
Epoch [62/100], Step[280/526], Loss: 0.4419
Epoch [62/100], Step[281/526], Loss: 0.6295
Epoch [62/100], Step[282/526], Loss: 0.3526
Epoch [62/100], Step[283/526], Loss: 0.3719
Epoch [62/100], Step[284/526], Loss: 0.4068
Epoch [62/100], Step[285/526], Loss: 0.2730
Epoch [62/100], Step[286/526], Loss: 0.6987
Epoch [62/100], Step[287/526], Loss: 0.4810
Epoch [62/100], Step[288/526], Loss: 0.4316
Epoch [62/100], Step[289/526], Loss: 0.6184
Epoch [62/100], Step[290/526], Loss: 0.4274
Epoch [62/100], Step[291/526], Loss: 0.4782
Epoch [62/100], Step[292/526], Loss: 0.2646
Epoch [62/100], Step[293/526], Loss: 0.3053
Epoch [62/100], Step[294/526], Loss: 0.3173
Epoch [62/100], Step[295/526], Loss: 0.4250
Epoch [62/100], Step[296/526], Loss: 0.6231
Epoch [62/100], Step[297/526], Loss: 0.3104
Epoch [62/100], Step[298/526], Loss: 0.2811
Epoch [62/100], Step[299/526], Loss: 0.2381
Epoch [62/100], Step[300/526], Loss: 0.2833
Epoch [62/100], Step[301/526], Loss: 0.6255
Epoch [62/100], Step[302/526], Loss: 0.3283
Epoch [62/100], Step[303/526], Loss: 0.4724
Epoch [62/100], Step[304/526], Loss: 0.2595
Epoch [62/100], Step[305/526], Loss: 0.2609
Epoch [62/100], Step[306/526], Loss: 0.5879
Epoch [62/100], Step[307/526], Loss: 0.8939
Epoch [62/100], Step[308/526], Loss: 1.3187
Epoch [62/100], Step[309/526], Loss: 0.8451
Epoch [62/100], Step[310/526], Loss: 0.9492
Epoch [62/100], Step[311/526], Loss: 0.8229
Epoch [62/100], Step[312/526], Loss: 0.4885
Epoch [62/100], Step[313/526], Loss: 0.4846
Epoch [62/100], Step[314/526], Loss: 0.6543
Epoch [62/100], Step[315/526], Loss: 0.7136
Epoch [62/100], Step[316/526], Loss: 0.4929
Epoch [62/100], Step[317/526], Loss: 0.3242
Epoch [62/100], Step[318/526], Loss: 0.7786
Epoch [62/100], Step[319/526], Loss: 0.3595
Epoch [62/100], Step[320/526], Loss: 0.6347
Epoch [62/100], Step[321/526], Loss: 0.7014
Epoch [62/100], Step[322/526], Loss: 0.2729
Epoch [62/100], Step[323/526], Loss: 0.6166
Epoch [62/100], Step[324/526], Loss: 0.6542
Epoch [62/100], Step[325/526], Loss: 0.5935
Epoch [62/100], Step[326/526], Loss: 0.7440
Epoch [62/100], Step[327/526], Loss: 0.7340
Epoch [62/100], Step[328/526], Loss: 0.9366
Epoch [62/100], Step[329/526], Loss: 1.2722
Epoch [62/100], Step[330/526], Loss: 1.0473
Epoch [62/100], Step[331/526], Loss: 0.7752
Epoch [62/100], Step[332/526], Loss: 0.8223
Epoch [62/100], Step[333/526], Loss: 0.7614
Epoch [62/100], Step[334/526], Loss: 0.7641
Epoch [62/100], Step[335/526], Loss: 0.7749
Epoch [62/100], Step[336/526], Loss: 0.6918
Epoch [62/100], Step[337/526], Loss: 0.5918
Epoch [62/100], Step[338/526], Loss: 0.7028
Epoch [62/100], Step[339/526], Loss: 0.6374
Epoch [62/100], Step[340/526], Loss: 0.7184
Epoch [62/100], Step[341/526], Loss: 0.7599
Epoch [62/100], Step[342/526], Loss: 0.7747
Epoch [62/100], Step[343/526], Loss: 0.5384
Epoch [62/100], Step[344/526], Loss: 0.7282
Epoch [62/100], Step[345/526], Loss: 0.6519
Epoch [62/100], Step[346/526], Loss: 0.6702
Epoch [62/100], Step[347/526], Loss: 0.7131
Epoch [62/100], Step[348/526], Loss: 0.6272
Epoch [62/100], Step[349/526], Loss: 0.5736
Epoch [62/100], Step[350/526], Loss: 0.6694
Epoch [62/100], Step[351/526], Loss: 0.7109
Epoch [62/100], Step[352/526], Loss: 0.6129
Epoch [62/100], Step[353/526], Loss: 0.6827
Epoch [62/100], Step[354/526], Loss: 0.6676
Epoch [62/100], Step[355/526], Loss: 0.6688
Epoch [62/100], Step[356/526], Loss: 0.6996
Epoch [62/100], Step[357/526], Loss: 0.6610
Epoch [62/100], Step[358/526], Loss: 0.6971
Epoch [62/100], Step[359/526], Loss: 0.6427
Epoch [62/100], Step[360/526], Loss: 0.6833
Epoch [62/100], Step[361/526], Loss: 0.7237
Epoch [62/100], Step[362/526], Loss: 0.7063
Epoch [62/100], Step[363/526], Loss: 0.6927
Epoch [62/100], Step[364/526], Loss: 0.7190
Epoch [62/100], Step[365/526], Loss: 0.7170
Epoch [62/100], Step[366/526], Loss: 0.6847
Epoch [62/100], Step[367/526], Loss: 0.6913
Epoch [62/100], Step[368/526], Loss: 0.6493
Epoch [62/100], Step[369/526], Loss: 0.6583
Epoch [62/100], Step[370/526], Loss: 0.4928
Epoch [62/100], Step[371/526], Loss: 0.7376
Epoch [62/100], Step[372/526], Loss: 0.6375
Epoch [62/100], Step[373/526], Loss: 0.6792
Epoch [62/100], Step[374/526], Loss: 0.7073
Epoch [62/100], Step[375/526], Loss: 0.6505
Epoch [62/100], Step[376/526], Loss: 0.6575
Epoch [62/100], Step[377/526], Loss: 0.6939
Epoch [62/100], Step[378/526], Loss: 0.6838
Epoch [62/100], Step[379/526], Loss: 0.7505
Epoch [62/100], Step[380/526], Loss: 0.6062
Epoch [62/100], Step[381/526], Loss: 0.5930
Epoch [62/100], Step[382/526], Loss: 0.6769
Epoch [62/100], Step[383/526], Loss: 0.7116
Epoch [62/100], Step[384/526], Loss: 0.6362
Epoch [62/100], Step[385/526], Loss: 0.6168
Epoch [62/100], Step[386/526], Loss: 0.6733
Epoch [62/100], Step[387/526], Loss: 0.6359
Epoch [62/100], Step[388/526], Loss: 0.6007
Epoch [62/100], Step[389/526], Loss: 0.7196
Epoch [62/100], Step[390/526], Loss: 0.5741
Epoch [62/100], Step[391/526], Loss: 0.6547
Epoch [62/100], Step[392/526], Loss: 0.6979
Epoch [62/100], Step[393/526], Loss: 0.5835
Epoch [62/100], Step[394/526], Loss: 0.5083
Epoch [62/100], Step[395/526], Loss: 0.5836
Epoch [62/100], Step[396/526], Loss: 0.6268
Epoch [62/100], Step[397/526], Loss: 0.4580
Epoch [62/100], Step[398/526], Loss: 0.6005
Epoch [62/100], Step[399/526], Loss: 0.6530
Epoch [62/100], Step[400/526], Loss: 0.4677
Epoch [62/100], Step[401/526], Loss: 0.6050
Epoch [62/100], Step[402/526], Loss: 0.6358
Epoch [62/100], Step[403/526], Loss: 0.7788
Epoch [62/100], Step[404/526], Loss: 0.4785
Epoch [62/100], Step[405/526], Loss: 0.5006
Epoch [62/100], Step[406/526], Loss: 0.6299
Epoch [62/100], Step[407/526], Loss: 0.7546
Epoch [62/100], Step[408/526], Loss: 0.6567
Epoch [62/100], Step[409/526], Loss: 0.4791
Epoch [62/100], Step[410/526], Loss: 0.4874
Epoch [62/100], Step[411/526], Loss: 0.5337
Epoch [62/100], Step[412/526], Loss: 0.5944
Epoch [62/100], Step[413/526], Loss: 0.6007
Epoch [62/100], Step[414/526], Loss: 0.6428
Epoch [62/100], Step[415/526], Loss: 0.6044
Epoch [62/100], Step[416/526], Loss: 0.5459
Epoch [62/100], Step[417/526], Loss: 0.4363
Epoch [62/100], Step[418/526], Loss: 0.7398
Epoch [62/100], Step[419/526], Loss: 0.6904
Epoch [62/100], Step[420/526], Loss: 0.6819
Epoch [62/100], Step[421/526], Loss: 0.6467
Epoch [62/100], Step[422/526], Loss: 0.7672
Epoch [62/100], Step[423/526], Loss: 0.6941
Epoch [62/100], Step[424/526], Loss: 0.7401
Epoch [62/100], Step[425/526], Loss: 0.6973
Epoch [62/100], Step[426/526], Loss: 0.7746
Epoch [62/100], Step[427/526], Loss: 0.7066
Epoch [62/100], Step[428/526], Loss: 0.7158
Epoch [62/100], Step[429/526], Loss: 0.7284
Epoch [62/100], Step[430/526], Loss: 0.7880
Epoch [62/100], Step[431/526], Loss: 0.7049
Epoch [62/100], Step[432/526], Loss: 0.7294
Epoch [62/100], Step[433/526], Loss: 0.6745
Epoch [62/100], Step[434/526], Loss: 0.6115
Epoch [62/100], Step[435/526], Loss: 0.7830
Epoch [62/100], Step[436/526], Loss: 0.8098
Epoch [62/100], Step[437/526], Loss: 0.4877
Epoch [62/100], Step[438/526], Loss: 0.3554
Epoch [62/100], Step[439/526], Loss: 0.7235
Epoch [62/100], Step[440/526], Loss: 0.6853
Epoch [62/100], Step[441/526], Loss: 0.6948
Epoch [62/100], Step[442/526], Loss: 0.6407
Epoch [62/100], Step[443/526], Loss: 0.6703
Epoch [62/100], Step[444/526], Loss: 0.7534
Epoch [62/100], Step[445/526], Loss: 0.7045
Epoch [62/100], Step[446/526], Loss: 0.7172
Epoch [62/100], Step[447/526], Loss: 0.7206
Epoch [62/100], Step[448/526], Loss: 0.7177
Epoch [62/100], Step[449/526], Loss: 0.6726
Epoch [62/100], Step[450/526], Loss: 0.6031
Epoch [62/100], Step[451/526], Loss: 0.6597
Epoch [62/100], Step[452/526], Loss: 0.7237
Epoch [62/100], Step[453/526], Loss: 0.7090
Epoch [62/100], Step[454/526], Loss: 0.8333
Epoch [62/100], Step[455/526], Loss: 0.6565
Epoch [62/100], Step[456/526], Loss: 0.6389
Epoch [62/100], Step[457/526], Loss: 0.7072
Epoch [62/100], Step[458/526], Loss: 0.6793
Epoch [62/100], Step[459/526], Loss: 0.6596
Epoch [62/100], Step[460/526], Loss: 0.6466
Epoch [62/100], Step[461/526], Loss: 0.6146
Epoch [62/100], Step[462/526], Loss: 0.6699
Epoch [62/100], Step[463/526], Loss: 0.6540
Epoch [62/100], Step[464/526], Loss: 0.6364
Epoch [62/100], Step[465/526], Loss: 0.6603
Epoch [62/100], Step[466/526], Loss: 0.6757
Epoch [62/100], Step[467/526], Loss: 0.6460
Epoch [62/100], Step[468/526], Loss: 0.6174
Epoch [62/100], Step[469/526], Loss: 0.8076
Epoch [62/100], Step[470/526], Loss: 0.6598
Epoch [62/100], Step[471/526], Loss: 0.6924
Epoch [62/100], Step[472/526], Loss: 0.6769
Epoch [62/100], Step[473/526], Loss: 0.6787
Epoch [62/100], Step[474/526], Loss: 0.6819
Epoch [62/100], Step[475/526], Loss: 0.8353
Epoch [62/100], Step[476/526], Loss: 0.7373
Epoch [62/100], Step[477/526], Loss: 0.7068
Epoch [62/100], Step[478/526], Loss: 0.6849
Epoch [62/100], Step[479/526], Loss: 0.6578
Epoch [62/100], Step[480/526], Loss: 0.7330
Epoch [62/100], Step[481/526], Loss: 0.7315
Epoch [62/100], Step[482/526], Loss: 0.6198
Epoch [62/100], Step[483/526], Loss: 0.5424
Epoch [62/100], Step[484/526], Loss: 0.6948
Epoch [62/100], Step[485/526], Loss: 0.7736
Epoch [62/100], Step[486/526], Loss: 0.7253
Epoch [62/100], Step[487/526], Loss: 0.7546
Epoch [62/100], Step[488/526], Loss: 0.6899
Epoch [62/100], Step[489/526], Loss: 0.6035
Epoch [62/100], Step[490/526], Loss: 0.6145
Epoch [62/100], Step[491/526], Loss: 0.7007
Epoch [62/100], Step[492/526], Loss: 0.6475
Epoch [62/100], Step[493/526], Loss: 0.6402
Epoch [62/100], Step[494/526], Loss: 0.6613
Epoch [62/100], Step[495/526], Loss: 0.6833
Epoch [62/100], Step[496/526], Loss: 0.6665
Epoch [62/100], Step[497/526], Loss: 0.6372
Epoch [62/100], Step[498/526], Loss: 0.6700
Epoch [62/100], Step[499/526], Loss: 0.6698
Epoch [62/100], Step[500/526], Loss: 0.6915
Epoch [62/100], Step[501/526], Loss: 0.6552
Epoch [62/100], Step[502/526], Loss: 0.6971
Epoch [62/100], Step[503/526], Loss: 0.7131
Epoch [62/100], Step[504/526], Loss: 0.7037
Epoch [62/100], Step[505/526], Loss: 0.7090
Epoch [62/100], Step[506/526], Loss: 0.6653
Epoch [62/100], Step[507/526], Loss: 0.6714
Epoch [62/100], Step[508/526], Loss: 0.6951
Epoch [62/100], Step[509/526], Loss: 0.6437
Epoch [62/100], Step[510/526], Loss: 0.7018
Epoch [62/100], Step[511/526], Loss: 0.6418
Epoch [62/100], Step[512/526], Loss: 0.6736
Epoch [62/100], Step[513/526], Loss: 0.6428
Epoch [62/100], Step[514/526], Loss: 0.6539
Epoch [62/100], Step[515/526], Loss: 0.5728
Epoch [62/100], Step[516/526], Loss: 0.7505
Epoch [62/100], Step[517/526], Loss: 0.6913
Epoch [62/100], Step[518/526], Loss: 0.7307
Epoch [62/100], Step[519/526], Loss: 0.7163
Epoch [62/100], Step[520/526], Loss: 0.6771
Epoch [62/100], Step[521/526], Loss: 0.6359
Epoch [62/100], Step[522/526], Loss: 0.6033
Epoch [62/100], Step[523/526], Loss: 0.6473
Epoch [62/100], Step[524/526], Loss: 0.6282
Epoch [62/100], Step[525/526], Loss: 0.7485
Epoch [62/100], Step[526/526], Loss: 0.7190
Epoch [63/100], Step[1/526], Loss: 0.6452
Epoch [63/100], Step[2/526], Loss: 0.6398
Epoch [63/100], Step[3/526], Loss: 0.6684
Epoch [63/100], Step[4/526], Loss: 0.6307
Epoch [63/100], Step[5/526], Loss: 0.7410
Epoch [63/100], Step[6/526], Loss: 0.7616
Epoch [63/100], Step[7/526], Loss: 0.6954
Epoch [63/100], Step[8/526], Loss: 0.6797
Epoch [63/100], Step[9/526], Loss: 0.7018
Epoch [63/100], Step[10/526], Loss: 0.6556
Epoch [63/100], Step[11/526], Loss: 0.6970
Epoch [63/100], Step[12/526], Loss: 0.7432
Epoch [63/100], Step[13/526], Loss: 0.6000
Epoch [63/100], Step[14/526], Loss: 0.6331
Epoch [63/100], Step[15/526], Loss: 0.6848
Epoch [63/100], Step[16/526], Loss: 0.7006
Epoch [63/100], Step[17/526], Loss: 0.7102
Epoch [63/100], Step[18/526], Loss: 0.6723
Epoch [63/100], Step[19/526], Loss: 0.6707
Epoch [63/100], Step[20/526], Loss: 0.7480
Epoch [63/100], Step[21/526], Loss: 0.7755
Epoch [63/100], Step[22/526], Loss: 0.7343
Epoch [63/100], Step[23/526], Loss: 0.7354
Epoch [63/100], Step[24/526], Loss: 0.7189
Epoch [63/100], Step[25/526], Loss: 0.6944
Epoch [63/100], Step[26/526], Loss: 0.6064
Epoch [63/100], Step[27/526], Loss: 0.6733
Epoch [63/100], Step[28/526], Loss: 0.6779
Epoch [63/100], Step[29/526], Loss: 0.6517
Epoch [63/100], Step[30/526], Loss: 0.6961
Epoch [63/100], Step[31/526], Loss: 0.7037
Epoch [63/100], Step[32/526], Loss: 0.6675
Epoch [63/100], Step[33/526], Loss: 0.7150
Epoch [63/100], Step[34/526], Loss: 0.6876
Epoch [63/100], Step[35/526], Loss: 0.6943
Epoch [63/100], Step[36/526], Loss: 0.7051
Epoch [63/100], Step[37/526], Loss: 0.6852
Epoch [63/100], Step[38/526], Loss: 0.7059
Epoch [63/100], Step[39/526], Loss: 0.6847
Epoch [63/100], Step[40/526], Loss: 0.6982
Epoch [63/100], Step[41/526], Loss: 0.7046
Epoch [63/100], Step[42/526], Loss: 0.7033
Epoch [63/100], Step[43/526], Loss: 0.7400
Epoch [63/100], Step[44/526], Loss: 0.6702
Epoch [63/100], Step[45/526], Loss: 0.6421
Epoch [63/100], Step[46/526], Loss: 0.6614
Epoch [63/100], Step[47/526], Loss: 0.7563
Epoch [63/100], Step[48/526], Loss: 0.7366
Epoch [63/100], Step[49/526], Loss: 0.7106
Epoch [63/100], Step[50/526], Loss: 0.6951
Epoch [63/100], Step[51/526], Loss: 0.6988
Epoch [63/100], Step[52/526], Loss: 0.6395
Epoch [63/100], Step[53/526], Loss: 0.6838
Epoch [63/100], Step[54/526], Loss: 0.7493
Epoch [63/100], Step[55/526], Loss: 0.7150
Epoch [63/100], Step[56/526], Loss: 0.6892
Epoch [63/100], Step[57/526], Loss: 0.6696
Epoch [63/100], Step[58/526], Loss: 0.6771
Epoch [63/100], Step[59/526], Loss: 0.6493
Epoch [63/100], Step[60/526], Loss: 0.6749
Epoch [63/100], Step[61/526], Loss: 0.6642
Epoch [63/100], Step[62/526], Loss: 0.6896
Epoch [63/100], Step[63/526], Loss: 0.6810
Epoch [63/100], Step[64/526], Loss: 0.6869
Epoch [63/100], Step[65/526], Loss: 0.7165
Epoch [63/100], Step[66/526], Loss: 0.6745
Epoch [63/100], Step[67/526], Loss: 0.6459
Epoch [63/100], Step[68/526], Loss: 0.6432
Epoch [63/100], Step[69/526], Loss: 0.6913
Epoch [63/100], Step[70/526], Loss: 0.6878
Epoch [63/100], Step[71/526], Loss: 0.6781
Epoch [63/100], Step[72/526], Loss: 0.6863
Epoch [63/100], Step[73/526], Loss: 0.7156
Epoch [63/100], Step[74/526], Loss: 0.6487
Epoch [63/100], Step[75/526], Loss: 0.6885
Epoch [63/100], Step[76/526], Loss: 0.6680
Epoch [63/100], Step[77/526], Loss: 0.6962
Epoch [63/100], Step[78/526], Loss: 0.7127
Epoch [63/100], Step[79/526], Loss: 0.6879
Epoch [63/100], Step[80/526], Loss: 0.6867
Epoch [63/100], Step[81/526], Loss: 0.6959
Epoch [63/100], Step[82/526], Loss: 0.7303
Epoch [63/100], Step[83/526], Loss: 0.6850
Epoch [63/100], Step[84/526], Loss: 0.6887
Epoch [63/100], Step[85/526], Loss: 0.6485
Epoch [63/100], Step[86/526], Loss: 0.6898
Epoch [63/100], Step[87/526], Loss: 0.6810
Epoch [63/100], Step[88/526], Loss: 0.6870
Epoch [63/100], Step[89/526], Loss: 0.7111
Epoch [63/100], Step[90/526], Loss: 0.7038
Epoch [63/100], Step[91/526], Loss: 0.6723
Epoch [63/100], Step[92/526], Loss: 0.6522
Epoch [63/100], Step[93/526], Loss: 0.6878
Epoch [63/100], Step[94/526], Loss: 0.8024
Epoch [63/100], Step[95/526], Loss: 0.7368
Epoch [63/100], Step[96/526], Loss: 0.6679
Epoch [63/100], Step[97/526], Loss: 0.6505
Epoch [63/100], Step[98/526], Loss: 0.6887
Epoch [63/100], Step[99/526], Loss: 0.6942
Epoch [63/100], Step[100/526], Loss: 0.6701
Epoch [63/100], Step[101/526], Loss: 0.6453
Epoch [63/100], Step[102/526], Loss: 0.6357
Epoch [63/100], Step[103/526], Loss: 0.7147
Epoch [63/100], Step[104/526], Loss: 0.6599
Epoch [63/100], Step[105/526], Loss: 0.6434
Epoch [63/100], Step[106/526], Loss: 0.6835
Epoch [63/100], Step[107/526], Loss: 0.6265
Epoch [63/100], Step[108/526], Loss: 0.5735
Epoch [63/100], Step[109/526], Loss: 0.6737
Epoch [63/100], Step[110/526], Loss: 0.6808
Epoch [63/100], Step[111/526], Loss: 0.5962
Epoch [63/100], Step[112/526], Loss: 0.7291
Epoch [63/100], Step[113/526], Loss: 0.6067
Epoch [63/100], Step[114/526], Loss: 0.6639
Epoch [63/100], Step[115/526], Loss: 0.6007
Epoch [63/100], Step[116/526], Loss: 0.6253
Epoch [63/100], Step[117/526], Loss: 0.6648
Epoch [63/100], Step[118/526], Loss: 0.7542
Epoch [63/100], Step[119/526], Loss: 0.6756
Epoch [63/100], Step[120/526], Loss: 0.6808
Epoch [63/100], Step[121/526], Loss: 0.6848
Epoch [63/100], Step[122/526], Loss: 0.6229
Epoch [63/100], Step[123/526], Loss: 0.6471
Epoch [63/100], Step[124/526], Loss: 0.6738
Epoch [63/100], Step[125/526], Loss: 0.6327
Epoch [63/100], Step[126/526], Loss: 0.7234
Epoch [63/100], Step[127/526], Loss: 0.6677
Epoch [63/100], Step[128/526], Loss: 0.6411
Epoch [63/100], Step[129/526], Loss: 0.6002
Epoch [63/100], Step[130/526], Loss: 0.6123
Epoch [63/100], Step[131/526], Loss: 0.6687
Epoch [63/100], Step[132/526], Loss: 0.7219
Epoch [63/100], Step[133/526], Loss: 0.6718
Epoch [63/100], Step[134/526], Loss: 0.6266
Epoch [63/100], Step[135/526], Loss: 0.6437
Epoch [63/100], Step[136/526], Loss: 0.5674
Epoch [63/100], Step[137/526], Loss: 0.6388
Epoch [63/100], Step[138/526], Loss: 0.6404
Epoch [63/100], Step[139/526], Loss: 0.6987
Epoch [63/100], Step[140/526], Loss: 0.5941
Epoch [63/100], Step[141/526], Loss: 0.6739
Epoch [63/100], Step[142/526], Loss: 0.6646
Epoch [63/100], Step[143/526], Loss: 0.6878
Epoch [63/100], Step[144/526], Loss: 0.7860
Epoch [63/100], Step[145/526], Loss: 0.5443
Epoch [63/100], Step[146/526], Loss: 0.5149
Epoch [63/100], Step[147/526], Loss: 0.4646
Epoch [63/100], Step[148/526], Loss: 0.6011
Epoch [63/100], Step[149/526], Loss: 0.4780
Epoch [63/100], Step[150/526], Loss: 0.5581
Epoch [63/100], Step[151/526], Loss: 0.5482
Epoch [63/100], Step[152/526], Loss: 0.6230
Epoch [63/100], Step[153/526], Loss: 0.6367
Epoch [63/100], Step[154/526], Loss: 0.7121
Epoch [63/100], Step[155/526], Loss: 0.6854
Epoch [63/100], Step[156/526], Loss: 0.5381
Epoch [63/100], Step[157/526], Loss: 0.2670
Epoch [63/100], Step[158/526], Loss: 0.6028
Epoch [63/100], Step[159/526], Loss: 0.6752
Epoch [63/100], Step[160/526], Loss: 0.5413
Epoch [63/100], Step[161/526], Loss: 0.8846
Epoch [63/100], Step[162/526], Loss: 0.7009
Epoch [63/100], Step[163/526], Loss: 0.7097
Epoch [63/100], Step[164/526], Loss: 0.6127
Epoch [63/100], Step[165/526], Loss: 0.7024
Epoch [63/100], Step[166/526], Loss: 0.5078
Epoch [63/100], Step[167/526], Loss: 0.5698
Epoch [63/100], Step[168/526], Loss: 0.7064
Epoch [63/100], Step[169/526], Loss: 0.7536
Epoch [63/100], Step[170/526], Loss: 0.7027
Epoch [63/100], Step[171/526], Loss: 0.7387
Epoch [63/100], Step[172/526], Loss: 0.7062
Epoch [63/100], Step[173/526], Loss: 0.8208
Epoch [63/100], Step[174/526], Loss: 0.6172
Epoch [63/100], Step[175/526], Loss: 0.6620
Epoch [63/100], Step[176/526], Loss: 0.6232
Epoch [63/100], Step[177/526], Loss: 0.6631
Epoch [63/100], Step[178/526], Loss: 0.6868
Epoch [63/100], Step[179/526], Loss: 0.6162
Epoch [63/100], Step[180/526], Loss: 0.6743
Epoch [63/100], Step[181/526], Loss: 0.6444
Epoch [63/100], Step[182/526], Loss: 0.6743
Epoch [63/100], Step[183/526], Loss: 0.5367
Epoch [63/100], Step[184/526], Loss: 0.5955
Epoch [63/100], Step[185/526], Loss: 0.6002
Epoch [63/100], Step[186/526], Loss: 0.6451
Epoch [63/100], Step[187/526], Loss: 0.7300
Epoch [63/100], Step[188/526], Loss: 0.6884
Epoch [63/100], Step[189/526], Loss: 0.6697
Epoch [63/100], Step[190/526], Loss: 0.6640
Epoch [63/100], Step[191/526], Loss: 0.6972
Epoch [63/100], Step[192/526], Loss: 0.8290
Epoch [63/100], Step[193/526], Loss: 0.6598
Epoch [63/100], Step[194/526], Loss: 0.6184
Epoch [63/100], Step[195/526], Loss: 0.6478
Epoch [63/100], Step[196/526], Loss: 0.7337
Epoch [63/100], Step[197/526], Loss: 0.6793
Epoch [63/100], Step[198/526], Loss: 0.6348
Epoch [63/100], Step[199/526], Loss: 0.7398
Epoch [63/100], Step[200/526], Loss: 0.6838
Epoch [63/100], Step[201/526], Loss: 0.6692
Epoch [63/100], Step[202/526], Loss: 0.7355
Epoch [63/100], Step[203/526], Loss: 0.7072
Epoch [63/100], Step[204/526], Loss: 0.7098
Epoch [63/100], Step[205/526], Loss: 0.6978
Epoch [63/100], Step[206/526], Loss: 0.6843
Epoch [63/100], Step[207/526], Loss: 0.7084
Epoch [63/100], Step[208/526], Loss: 0.6776
Epoch [63/100], Step[209/526], Loss: 0.6768
Epoch [63/100], Step[210/526], Loss: 0.7608
Epoch [63/100], Step[211/526], Loss: 0.6225
Epoch [63/100], Step[212/526], Loss: 0.6831
Epoch [63/100], Step[213/526], Loss: 0.7216
Epoch [63/100], Step[214/526], Loss: 0.7473
Epoch [63/100], Step[215/526], Loss: 0.6951
Epoch [63/100], Step[216/526], Loss: 0.6756
Epoch [63/100], Step[217/526], Loss: 0.6754
Epoch [63/100], Step[218/526], Loss: 0.6961
Epoch [63/100], Step[219/526], Loss: 0.6875
Epoch [63/100], Step[220/526], Loss: 0.7235
Epoch [63/100], Step[221/526], Loss: 0.6988
Epoch [63/100], Step[222/526], Loss: 0.7368
Epoch [63/100], Step[223/526], Loss: 0.6780
Epoch [63/100], Step[224/526], Loss: 0.6782
Epoch [63/100], Step[225/526], Loss: 0.7199
Epoch [63/100], Step[226/526], Loss: 0.6652
Epoch [63/100], Step[227/526], Loss: 0.6581
Epoch [63/100], Step[228/526], Loss: 0.6505
Epoch [63/100], Step[229/526], Loss: 0.6776
Epoch [63/100], Step[230/526], Loss: 0.6573
Epoch [63/100], Step[231/526], Loss: 0.6669
Epoch [63/100], Step[232/526], Loss: 0.7207
Epoch [63/100], Step[233/526], Loss: 0.6806
Epoch [63/100], Step[234/526], Loss: 0.6746
Epoch [63/100], Step[235/526], Loss: 0.6943
Epoch [63/100], Step[236/526], Loss: 0.6933
Epoch [63/100], Step[237/526], Loss: 0.7194
Epoch [63/100], Step[238/526], Loss: 0.6808
Epoch [63/100], Step[239/526], Loss: 0.6658
Epoch [63/100], Step[240/526], Loss: 0.7292
Epoch [63/100], Step[241/526], Loss: 0.6894
Epoch [63/100], Step[242/526], Loss: 0.7113
Epoch [63/100], Step[243/526], Loss: 0.6094
Epoch [63/100], Step[244/526], Loss: 0.6451
Epoch [63/100], Step[245/526], Loss: 0.6394
Epoch [63/100], Step[246/526], Loss: 0.6625
Epoch [63/100], Step[247/526], Loss: 0.6101
Epoch [63/100], Step[248/526], Loss: 0.6538
Epoch [63/100], Step[249/526], Loss: 0.6608
Epoch [63/100], Step[250/526], Loss: 0.6791
Epoch [63/100], Step[251/526], Loss: 0.7020
Epoch [63/100], Step[252/526], Loss: 0.6958
Epoch [63/100], Step[253/526], Loss: 0.6304
Epoch [63/100], Step[254/526], Loss: 0.6704
Epoch [63/100], Step[255/526], Loss: 0.5959
Epoch [63/100], Step[256/526], Loss: 0.6836
Epoch [63/100], Step[257/526], Loss: 0.6543
Epoch [63/100], Step[258/526], Loss: 0.6235
Epoch [63/100], Step[259/526], Loss: 0.6846
Epoch [63/100], Step[260/526], Loss: 0.7604
Epoch [63/100], Step[261/526], Loss: 0.7604
Epoch [63/100], Step[262/526], Loss: 0.6759
Epoch [63/100], Step[263/526], Loss: 0.6604
Epoch [63/100], Step[264/526], Loss: 0.6237
Epoch [63/100], Step[265/526], Loss: 0.6148
Epoch [63/100], Step[266/526], Loss: 0.6223
Epoch [63/100], Step[267/526], Loss: 0.4878
Epoch [63/100], Step[268/526], Loss: 0.5423
Epoch [63/100], Step[269/526], Loss: 0.4503
Epoch [63/100], Step[270/526], Loss: 0.3735
Epoch [63/100], Step[271/526], Loss: 0.5085
Epoch [63/100], Step[272/526], Loss: 0.5240
Epoch [63/100], Step[273/526], Loss: 0.6374
Epoch [63/100], Step[274/526], Loss: 0.4220
Epoch [63/100], Step[275/526], Loss: 0.3907
Epoch [63/100], Step[276/526], Loss: 0.4697
Epoch [63/100], Step[277/526], Loss: 0.4117
Epoch [63/100], Step[278/526], Loss: 0.4481
Epoch [63/100], Step[279/526], Loss: 0.4027
Epoch [63/100], Step[280/526], Loss: 0.4426
Epoch [63/100], Step[281/526], Loss: 0.6312
Epoch [63/100], Step[282/526], Loss: 0.3498
Epoch [63/100], Step[283/526], Loss: 0.3678
Epoch [63/100], Step[284/526], Loss: 0.4066
Epoch [63/100], Step[285/526], Loss: 0.2695
Epoch [63/100], Step[286/526], Loss: 0.6985
Epoch [63/100], Step[287/526], Loss: 0.4800
Epoch [63/100], Step[288/526], Loss: 0.4304
Epoch [63/100], Step[289/526], Loss: 0.6187
Epoch [63/100], Step[290/526], Loss: 0.4277
Epoch [63/100], Step[291/526], Loss: 0.4875
Epoch [63/100], Step[292/526], Loss: 0.2646
Epoch [63/100], Step[293/526], Loss: 0.3055
Epoch [63/100], Step[294/526], Loss: 0.3155
Epoch [63/100], Step[295/526], Loss: 0.4168
Epoch [63/100], Step[296/526], Loss: 0.6221
Epoch [63/100], Step[297/526], Loss: 0.3099
Epoch [63/100], Step[298/526], Loss: 0.2727
Epoch [63/100], Step[299/526], Loss: 0.2373
Epoch [63/100], Step[300/526], Loss: 0.2845
Epoch [63/100], Step[301/526], Loss: 0.6250
Epoch [63/100], Step[302/526], Loss: 0.3277
Epoch [63/100], Step[303/526], Loss: 0.4745
Epoch [63/100], Step[304/526], Loss: 0.2485
Epoch [63/100], Step[305/526], Loss: 0.2556
Epoch [63/100], Step[306/526], Loss: 0.5895
Epoch [63/100], Step[307/526], Loss: 0.8931
Epoch [63/100], Step[308/526], Loss: 1.3220
Epoch [63/100], Step[309/526], Loss: 0.8843
Epoch [63/100], Step[310/526], Loss: 0.9499
Epoch [63/100], Step[311/526], Loss: 0.8277
Epoch [63/100], Step[312/526], Loss: 0.4886
Epoch [63/100], Step[313/526], Loss: 0.4789
Epoch [63/100], Step[314/526], Loss: 0.6478
Epoch [63/100], Step[315/526], Loss: 0.7143
Epoch [63/100], Step[316/526], Loss: 0.4927
Epoch [63/100], Step[317/526], Loss: 0.3244
Epoch [63/100], Step[318/526], Loss: 0.7767
Epoch [63/100], Step[319/526], Loss: 0.3605
Epoch [63/100], Step[320/526], Loss: 0.6347
Epoch [63/100], Step[321/526], Loss: 0.7030
Epoch [63/100], Step[322/526], Loss: 0.2749
Epoch [63/100], Step[323/526], Loss: 0.6172
Epoch [63/100], Step[324/526], Loss: 0.6488
Epoch [63/100], Step[325/526], Loss: 0.5942
Epoch [63/100], Step[326/526], Loss: 0.7429
Epoch [63/100], Step[327/526], Loss: 0.7472
Epoch [63/100], Step[328/526], Loss: 0.9407
Epoch [63/100], Step[329/526], Loss: 1.2679
Epoch [63/100], Step[330/526], Loss: 1.0488
Epoch [63/100], Step[331/526], Loss: 0.7725
Epoch [63/100], Step[332/526], Loss: 0.8224
Epoch [63/100], Step[333/526], Loss: 0.7593
Epoch [63/100], Step[334/526], Loss: 0.7616
Epoch [63/100], Step[335/526], Loss: 0.7809
Epoch [63/100], Step[336/526], Loss: 0.6933
Epoch [63/100], Step[337/526], Loss: 0.5928
Epoch [63/100], Step[338/526], Loss: 0.7017
Epoch [63/100], Step[339/526], Loss: 0.6381
Epoch [63/100], Step[340/526], Loss: 0.7173
Epoch [63/100], Step[341/526], Loss: 0.7603
Epoch [63/100], Step[342/526], Loss: 0.7729
Epoch [63/100], Step[343/526], Loss: 0.5383
Epoch [63/100], Step[344/526], Loss: 0.7267
Epoch [63/100], Step[345/526], Loss: 0.6520
Epoch [63/100], Step[346/526], Loss: 0.6679
Epoch [63/100], Step[347/526], Loss: 0.7129
Epoch [63/100], Step[348/526], Loss: 0.6270
Epoch [63/100], Step[349/526], Loss: 0.5734
Epoch [63/100], Step[350/526], Loss: 0.6693
Epoch [63/100], Step[351/526], Loss: 0.7101
Epoch [63/100], Step[352/526], Loss: 0.6126
Epoch [63/100], Step[353/526], Loss: 0.6819
Epoch [63/100], Step[354/526], Loss: 0.6670
Epoch [63/100], Step[355/526], Loss: 0.6677
Epoch [63/100], Step[356/526], Loss: 0.6985
Epoch [63/100], Step[357/526], Loss: 0.6608
Epoch [63/100], Step[358/526], Loss: 0.6946
Epoch [63/100], Step[359/526], Loss: 0.6427
Epoch [63/100], Step[360/526], Loss: 0.6844
Epoch [63/100], Step[361/526], Loss: 0.7282
Epoch [63/100], Step[362/526], Loss: 0.7071
Epoch [63/100], Step[363/526], Loss: 0.6927
Epoch [63/100], Step[364/526], Loss: 0.7201
Epoch [63/100], Step[365/526], Loss: 0.7177
Epoch [63/100], Step[366/526], Loss: 0.6838
Epoch [63/100], Step[367/526], Loss: 0.6907
Epoch [63/100], Step[368/526], Loss: 0.6485
Epoch [63/100], Step[369/526], Loss: 0.6573
Epoch [63/100], Step[370/526], Loss: 0.5028
Epoch [63/100], Step[371/526], Loss: 0.7393
Epoch [63/100], Step[372/526], Loss: 0.6365
Epoch [63/100], Step[373/526], Loss: 0.6791
Epoch [63/100], Step[374/526], Loss: 0.7076
Epoch [63/100], Step[375/526], Loss: 0.6505
Epoch [63/100], Step[376/526], Loss: 0.6532
Epoch [63/100], Step[377/526], Loss: 0.6940
Epoch [63/100], Step[378/526], Loss: 0.6797
Epoch [63/100], Step[379/526], Loss: 0.7518
Epoch [63/100], Step[380/526], Loss: 0.6057
Epoch [63/100], Step[381/526], Loss: 0.5929
Epoch [63/100], Step[382/526], Loss: 0.6792
Epoch [63/100], Step[383/526], Loss: 0.7215
Epoch [63/100], Step[384/526], Loss: 0.6355
Epoch [63/100], Step[385/526], Loss: 0.6155
Epoch [63/100], Step[386/526], Loss: 0.6742
Epoch [63/100], Step[387/526], Loss: 0.6417
Epoch [63/100], Step[388/526], Loss: 0.5972
Epoch [63/100], Step[389/526], Loss: 0.7207
Epoch [63/100], Step[390/526], Loss: 0.5753
Epoch [63/100], Step[391/526], Loss: 0.6554
Epoch [63/100], Step[392/526], Loss: 0.6987
Epoch [63/100], Step[393/526], Loss: 0.5841
Epoch [63/100], Step[394/526], Loss: 0.5097
Epoch [63/100], Step[395/526], Loss: 0.5814
Epoch [63/100], Step[396/526], Loss: 0.6264
Epoch [63/100], Step[397/526], Loss: 0.4564
Epoch [63/100], Step[398/526], Loss: 0.6002
Epoch [63/100], Step[399/526], Loss: 0.6530
Epoch [63/100], Step[400/526], Loss: 0.4689
Epoch [63/100], Step[401/526], Loss: 0.6064
Epoch [63/100], Step[402/526], Loss: 0.6372
Epoch [63/100], Step[403/526], Loss: 0.7339
Epoch [63/100], Step[404/526], Loss: 0.4785
Epoch [63/100], Step[405/526], Loss: 0.5015
Epoch [63/100], Step[406/526], Loss: 0.6281
Epoch [63/100], Step[407/526], Loss: 0.7578
Epoch [63/100], Step[408/526], Loss: 0.6493
Epoch [63/100], Step[409/526], Loss: 0.4836
Epoch [63/100], Step[410/526], Loss: 0.4883
Epoch [63/100], Step[411/526], Loss: 0.5344
Epoch [63/100], Step[412/526], Loss: 0.5951
Epoch [63/100], Step[413/526], Loss: 0.6015
Epoch [63/100], Step[414/526], Loss: 0.6441
Epoch [63/100], Step[415/526], Loss: 0.6037
Epoch [63/100], Step[416/526], Loss: 0.5463
Epoch [63/100], Step[417/526], Loss: 0.4448
Epoch [63/100], Step[418/526], Loss: 0.7391
Epoch [63/100], Step[419/526], Loss: 0.6914
Epoch [63/100], Step[420/526], Loss: 0.6828
Epoch [63/100], Step[421/526], Loss: 0.6475
Epoch [63/100], Step[422/526], Loss: 0.7664
Epoch [63/100], Step[423/526], Loss: 0.6895
Epoch [63/100], Step[424/526], Loss: 0.7407
Epoch [63/100], Step[425/526], Loss: 0.6956
Epoch [63/100], Step[426/526], Loss: 0.7783
Epoch [63/100], Step[427/526], Loss: 0.7071
Epoch [63/100], Step[428/526], Loss: 0.7143
Epoch [63/100], Step[429/526], Loss: 0.7272
Epoch [63/100], Step[430/526], Loss: 0.7889
Epoch [63/100], Step[431/526], Loss: 0.7036
Epoch [63/100], Step[432/526], Loss: 0.7296
Epoch [63/100], Step[433/526], Loss: 0.6751
Epoch [63/100], Step[434/526], Loss: 0.6112
Epoch [63/100], Step[435/526], Loss: 0.7828
Epoch [63/100], Step[436/526], Loss: 0.8047
Epoch [63/100], Step[437/526], Loss: 0.4937
Epoch [63/100], Step[438/526], Loss: 0.3551
Epoch [63/100], Step[439/526], Loss: 0.7237
Epoch [63/100], Step[440/526], Loss: 0.6828
Epoch [63/100], Step[441/526], Loss: 0.6976
Epoch [63/100], Step[442/526], Loss: 0.6410
Epoch [63/100], Step[443/526], Loss: 0.6704
Epoch [63/100], Step[444/526], Loss: 0.7538
Epoch [63/100], Step[445/526], Loss: 0.7047
Epoch [63/100], Step[446/526], Loss: 0.7192
Epoch [63/100], Step[447/526], Loss: 0.7210
Epoch [63/100], Step[448/526], Loss: 0.7167
Epoch [63/100], Step[449/526], Loss: 0.6737
Epoch [63/100], Step[450/526], Loss: 0.6064
Epoch [63/100], Step[451/526], Loss: 0.6628
Epoch [63/100], Step[452/526], Loss: 0.7247
Epoch [63/100], Step[453/526], Loss: 0.7082
Epoch [63/100], Step[454/526], Loss: 0.8301
Epoch [63/100], Step[455/526], Loss: 0.6612
Epoch [63/100], Step[456/526], Loss: 0.6347
Epoch [63/100], Step[457/526], Loss: 0.6984
Epoch [63/100], Step[458/526], Loss: 0.6796
Epoch [63/100], Step[459/526], Loss: 0.6622
Epoch [63/100], Step[460/526], Loss: 0.6457
Epoch [63/100], Step[461/526], Loss: 0.6148
Epoch [63/100], Step[462/526], Loss: 0.6729
Epoch [63/100], Step[463/526], Loss: 0.6548
Epoch [63/100], Step[464/526], Loss: 0.6358
Epoch [63/100], Step[465/526], Loss: 0.6628
Epoch [63/100], Step[466/526], Loss: 0.6711
Epoch [63/100], Step[467/526], Loss: 0.6584
Epoch [63/100], Step[468/526], Loss: 0.6134
Epoch [63/100], Step[469/526], Loss: 0.8063
Epoch [63/100], Step[470/526], Loss: 0.6598
Epoch [63/100], Step[471/526], Loss: 0.6973
Epoch [63/100], Step[472/526], Loss: 0.6774
Epoch [63/100], Step[473/526], Loss: 0.6791
Epoch [63/100], Step[474/526], Loss: 0.6806
Epoch [63/100], Step[475/526], Loss: 0.8359
Epoch [63/100], Step[476/526], Loss: 0.7403
Epoch [63/100], Step[477/526], Loss: 0.7088
Epoch [63/100], Step[478/526], Loss: 0.6813
Epoch [63/100], Step[479/526], Loss: 0.6589
Epoch [63/100], Step[480/526], Loss: 0.7327
Epoch [63/100], Step[481/526], Loss: 0.7307
Epoch [63/100], Step[482/526], Loss: 0.6157
Epoch [63/100], Step[483/526], Loss: 0.5380
Epoch [63/100], Step[484/526], Loss: 0.6957
Epoch [63/100], Step[485/526], Loss: 0.7572
Epoch [63/100], Step[486/526], Loss: 0.7248
Epoch [63/100], Step[487/526], Loss: 0.7334
Epoch [63/100], Step[488/526], Loss: 0.7027
Epoch [63/100], Step[489/526], Loss: 0.6151
Epoch [63/100], Step[490/526], Loss: 0.6123
Epoch [63/100], Step[491/526], Loss: 0.7012
Epoch [63/100], Step[492/526], Loss: 0.6451
Epoch [63/100], Step[493/526], Loss: 0.6400
Epoch [63/100], Step[494/526], Loss: 0.6604
Epoch [63/100], Step[495/526], Loss: 0.6820
Epoch [63/100], Step[496/526], Loss: 0.6662
Epoch [63/100], Step[497/526], Loss: 0.6351
Epoch [63/100], Step[498/526], Loss: 0.6693
Epoch [63/100], Step[499/526], Loss: 0.6694
Epoch [63/100], Step[500/526], Loss: 0.6983
Epoch [63/100], Step[501/526], Loss: 0.6530
Epoch [63/100], Step[502/526], Loss: 0.6989
Epoch [63/100], Step[503/526], Loss: 0.7133
Epoch [63/100], Step[504/526], Loss: 0.7061
Epoch [63/100], Step[505/526], Loss: 0.7090
Epoch [63/100], Step[506/526], Loss: 0.6635
Epoch [63/100], Step[507/526], Loss: 0.6717
Epoch [63/100], Step[508/526], Loss: 0.6949
Epoch [63/100], Step[509/526], Loss: 0.6434
Epoch [63/100], Step[510/526], Loss: 0.7010
Epoch [63/100], Step[511/526], Loss: 0.6409
Epoch [63/100], Step[512/526], Loss: 0.6733
Epoch [63/100], Step[513/526], Loss: 0.6460
Epoch [63/100], Step[514/526], Loss: 0.6539
Epoch [63/100], Step[515/526], Loss: 0.5766
Epoch [63/100], Step[516/526], Loss: 0.7512
Epoch [63/100], Step[517/526], Loss: 0.6922
Epoch [63/100], Step[518/526], Loss: 0.7317
Epoch [63/100], Step[519/526], Loss: 0.7171
Epoch [63/100], Step[520/526], Loss: 0.6938
Epoch [63/100], Step[521/526], Loss: 0.6446
Epoch [63/100], Step[522/526], Loss: 0.6015
Epoch [63/100], Step[523/526], Loss: 0.6317
Epoch [63/100], Step[524/526], Loss: 0.6171
Epoch [63/100], Step[525/526], Loss: 0.7697
Epoch [63/100], Step[526/526], Loss: 0.7234
Epoch [64/100], Step[1/526], Loss: 0.6447
Epoch [64/100], Step[2/526], Loss: 0.6396
Epoch [64/100], Step[3/526], Loss: 0.6746
Epoch [64/100], Step[4/526], Loss: 0.6269
Epoch [64/100], Step[5/526], Loss: 0.7520
Epoch [64/100], Step[6/526], Loss: 0.7668
Epoch [64/100], Step[7/526], Loss: 0.6917
Epoch [64/100], Step[8/526], Loss: 0.6777
Epoch [64/100], Step[9/526], Loss: 0.6979
Epoch [64/100], Step[10/526], Loss: 0.6445
Epoch [64/100], Step[11/526], Loss: 0.7195
Epoch [64/100], Step[12/526], Loss: 0.7545
Epoch [64/100], Step[13/526], Loss: 0.5910
Epoch [64/100], Step[14/526], Loss: 0.6347
Epoch [64/100], Step[15/526], Loss: 0.6876
Epoch [64/100], Step[16/526], Loss: 0.6980
Epoch [64/100], Step[17/526], Loss: 0.7088
Epoch [64/100], Step[18/526], Loss: 0.6574
Epoch [64/100], Step[19/526], Loss: 0.6722
Epoch [64/100], Step[20/526], Loss: 0.7518
Epoch [64/100], Step[21/526], Loss: 0.7710
Epoch [64/100], Step[22/526], Loss: 0.7394
Epoch [64/100], Step[23/526], Loss: 0.7337
Epoch [64/100], Step[24/526], Loss: 0.7178
Epoch [64/100], Step[25/526], Loss: 0.6965
Epoch [64/100], Step[26/526], Loss: 0.6042
Epoch [64/100], Step[27/526], Loss: 0.6714
Epoch [64/100], Step[28/526], Loss: 0.6785
Epoch [64/100], Step[29/526], Loss: 0.6500
Epoch [64/100], Step[30/526], Loss: 0.6937
Epoch [64/100], Step[31/526], Loss: 0.7051
Epoch [64/100], Step[32/526], Loss: 0.6675
Epoch [64/100], Step[33/526], Loss: 0.7159
Epoch [64/100], Step[34/526], Loss: 0.6916
Epoch [64/100], Step[35/526], Loss: 0.6987
Epoch [64/100], Step[36/526], Loss: 0.7059
Epoch [64/100], Step[37/526], Loss: 0.6847
Epoch [64/100], Step[38/526], Loss: 0.7063
Epoch [64/100], Step[39/526], Loss: 0.6836
Epoch [64/100], Step[40/526], Loss: 0.6984
Epoch [64/100], Step[41/526], Loss: 0.7031
Epoch [64/100], Step[42/526], Loss: 0.7042
Epoch [64/100], Step[43/526], Loss: 0.7442
Epoch [64/100], Step[44/526], Loss: 0.6697
Epoch [64/100], Step[45/526], Loss: 0.6464
Epoch [64/100], Step[46/526], Loss: 0.6633
Epoch [64/100], Step[47/526], Loss: 0.7596
Epoch [64/100], Step[48/526], Loss: 0.7410
Epoch [64/100], Step[49/526], Loss: 0.7139
Epoch [64/100], Step[50/526], Loss: 0.7010
Epoch [64/100], Step[51/526], Loss: 0.6991
Epoch [64/100], Step[52/526], Loss: 0.6373
Epoch [64/100], Step[53/526], Loss: 0.6839
Epoch [64/100], Step[54/526], Loss: 0.7463
Epoch [64/100], Step[55/526], Loss: 0.7019
Epoch [64/100], Step[56/526], Loss: 0.7012
Epoch [64/100], Step[57/526], Loss: 0.6731
Epoch [64/100], Step[58/526], Loss: 0.6799
Epoch [64/100], Step[59/526], Loss: 0.6442
Epoch [64/100], Step[60/526], Loss: 0.6759
Epoch [64/100], Step[61/526], Loss: 0.6529
Epoch [64/100], Step[62/526], Loss: 0.6861
Epoch [64/100], Step[63/526], Loss: 0.6777
Epoch [64/100], Step[64/526], Loss: 0.6912
Epoch [64/100], Step[65/526], Loss: 0.7126
Epoch [64/100], Step[66/526], Loss: 0.6789
Epoch [64/100], Step[67/526], Loss: 0.6447
Epoch [64/100], Step[68/526], Loss: 0.6399
Epoch [64/100], Step[69/526], Loss: 0.6917
Epoch [64/100], Step[70/526], Loss: 0.6882
Epoch [64/100], Step[71/526], Loss: 0.6785
Epoch [64/100], Step[72/526], Loss: 0.6860
Epoch [64/100], Step[73/526], Loss: 0.7166
Epoch [64/100], Step[74/526], Loss: 0.6503
Epoch [64/100], Step[75/526], Loss: 0.6923
Epoch [64/100], Step[76/526], Loss: 0.6684
Epoch [64/100], Step[77/526], Loss: 0.6965
Epoch [64/100], Step[78/526], Loss: 0.7118
Epoch [64/100], Step[79/526], Loss: 0.6882
Epoch [64/100], Step[80/526], Loss: 0.6870
Epoch [64/100], Step[81/526], Loss: 0.6961
Epoch [64/100], Step[82/526], Loss: 0.7294
Epoch [64/100], Step[83/526], Loss: 0.6880
Epoch [64/100], Step[84/526], Loss: 0.6863
Epoch [64/100], Step[85/526], Loss: 0.6523
Epoch [64/100], Step[86/526], Loss: 0.6917
Epoch [64/100], Step[87/526], Loss: 0.6837
Epoch [64/100], Step[88/526], Loss: 0.6892
Epoch [64/100], Step[89/526], Loss: 0.7122
Epoch [64/100], Step[90/526], Loss: 0.6988
Epoch [64/100], Step[91/526], Loss: 0.6776
Epoch [64/100], Step[92/526], Loss: 0.6630
Epoch [64/100], Step[93/526], Loss: 0.6847
Epoch [64/100], Step[94/526], Loss: 0.8083
Epoch [64/100], Step[95/526], Loss: 0.7368
Epoch [64/100], Step[96/526], Loss: 0.6427
Epoch [64/100], Step[97/526], Loss: 0.6227
Epoch [64/100], Step[98/526], Loss: 0.6810
Epoch [64/100], Step[99/526], Loss: 0.6901
Epoch [64/100], Step[100/526], Loss: 0.6743
Epoch [64/100], Step[101/526], Loss: 0.6474
Epoch [64/100], Step[102/526], Loss: 0.6346
Epoch [64/100], Step[103/526], Loss: 0.7150
Epoch [64/100], Step[104/526], Loss: 0.6592
Epoch [64/100], Step[105/526], Loss: 0.6410
Epoch [64/100], Step[106/526], Loss: 0.6848
Epoch [64/100], Step[107/526], Loss: 0.6266
Epoch [64/100], Step[108/526], Loss: 0.5727
Epoch [64/100], Step[109/526], Loss: 0.6823
Epoch [64/100], Step[110/526], Loss: 0.6813
Epoch [64/100], Step[111/526], Loss: 0.5899
Epoch [64/100], Step[112/526], Loss: 0.7277
Epoch [64/100], Step[113/526], Loss: 0.6069
Epoch [64/100], Step[114/526], Loss: 0.6629
Epoch [64/100], Step[115/526], Loss: 0.5984
Epoch [64/100], Step[116/526], Loss: 0.6281
Epoch [64/100], Step[117/526], Loss: 0.6656
Epoch [64/100], Step[118/526], Loss: 0.7541
Epoch [64/100], Step[119/526], Loss: 0.6764
Epoch [64/100], Step[120/526], Loss: 0.6774
Epoch [64/100], Step[121/526], Loss: 0.6785
Epoch [64/100], Step[122/526], Loss: 0.6123
Epoch [64/100], Step[123/526], Loss: 0.6469
Epoch [64/100], Step[124/526], Loss: 0.6789
Epoch [64/100], Step[125/526], Loss: 0.6354
Epoch [64/100], Step[126/526], Loss: 0.7221
Epoch [64/100], Step[127/526], Loss: 0.6758
Epoch [64/100], Step[128/526], Loss: 0.6441
Epoch [64/100], Step[129/526], Loss: 0.5989
Epoch [64/100], Step[130/526], Loss: 0.6160
Epoch [64/100], Step[131/526], Loss: 0.6582
Epoch [64/100], Step[132/526], Loss: 0.7216
Epoch [64/100], Step[133/526], Loss: 0.6808
Epoch [64/100], Step[134/526], Loss: 0.6334
Epoch [64/100], Step[135/526], Loss: 0.6440
Epoch [64/100], Step[136/526], Loss: 0.5635
Epoch [64/100], Step[137/526], Loss: 0.6442
Epoch [64/100], Step[138/526], Loss: 0.6355
Epoch [64/100], Step[139/526], Loss: 0.6933
Epoch [64/100], Step[140/526], Loss: 0.5960
Epoch [64/100], Step[141/526], Loss: 0.6720
Epoch [64/100], Step[142/526], Loss: 0.6653
Epoch [64/100], Step[143/526], Loss: 0.6937
Epoch [64/100], Step[144/526], Loss: 0.7876
Epoch [64/100], Step[145/526], Loss: 0.5424
Epoch [64/100], Step[146/526], Loss: 0.5125
Epoch [64/100], Step[147/526], Loss: 0.4656
Epoch [64/100], Step[148/526], Loss: 0.6010
Epoch [64/100], Step[149/526], Loss: 0.4629
Epoch [64/100], Step[150/526], Loss: 0.5624
Epoch [64/100], Step[151/526], Loss: 0.5542
Epoch [64/100], Step[152/526], Loss: 0.6195
Epoch [64/100], Step[153/526], Loss: 0.6325
Epoch [64/100], Step[154/526], Loss: 0.7021
Epoch [64/100], Step[155/526], Loss: 0.6892
Epoch [64/100], Step[156/526], Loss: 0.5411
Epoch [64/100], Step[157/526], Loss: 0.2719
Epoch [64/100], Step[158/526], Loss: 0.6123
Epoch [64/100], Step[159/526], Loss: 0.6684
Epoch [64/100], Step[160/526], Loss: 0.5490
Epoch [64/100], Step[161/526], Loss: 0.8701
Epoch [64/100], Step[162/526], Loss: 0.7101
Epoch [64/100], Step[163/526], Loss: 0.7030
Epoch [64/100], Step[164/526], Loss: 0.6235
Epoch [64/100], Step[165/526], Loss: 0.7153
Epoch [64/100], Step[166/526], Loss: 0.5146
Epoch [64/100], Step[167/526], Loss: 0.5660
Epoch [64/100], Step[168/526], Loss: 0.6929
Epoch [64/100], Step[169/526], Loss: 0.7448
Epoch [64/100], Step[170/526], Loss: 0.6987
Epoch [64/100], Step[171/526], Loss: 0.7259
Epoch [64/100], Step[172/526], Loss: 0.7061
Epoch [64/100], Step[173/526], Loss: 0.8167
Epoch [64/100], Step[174/526], Loss: 0.6160
Epoch [64/100], Step[175/526], Loss: 0.6636
Epoch [64/100], Step[176/526], Loss: 0.6520
Epoch [64/100], Step[177/526], Loss: 0.6674
Epoch [64/100], Step[178/526], Loss: 0.6965
Epoch [64/100], Step[179/526], Loss: 0.6188
Epoch [64/100], Step[180/526], Loss: 0.6596
Epoch [64/100], Step[181/526], Loss: 0.6445
Epoch [64/100], Step[182/526], Loss: 0.6798
Epoch [64/100], Step[183/526], Loss: 0.5392
Epoch [64/100], Step[184/526], Loss: 0.5901
Epoch [64/100], Step[185/526], Loss: 0.5956
Epoch [64/100], Step[186/526], Loss: 0.6345
Epoch [64/100], Step[187/526], Loss: 0.7389
Epoch [64/100], Step[188/526], Loss: 0.6962
Epoch [64/100], Step[189/526], Loss: 0.6697
Epoch [64/100], Step[190/526], Loss: 0.6693
Epoch [64/100], Step[191/526], Loss: 0.7046
Epoch [64/100], Step[192/526], Loss: 0.8581
Epoch [64/100], Step[193/526], Loss: 0.6729
Epoch [64/100], Step[194/526], Loss: 0.6272
Epoch [64/100], Step[195/526], Loss: 0.6460
Epoch [64/100], Step[196/526], Loss: 0.7322
Epoch [64/100], Step[197/526], Loss: 0.6778
Epoch [64/100], Step[198/526], Loss: 0.6296
Epoch [64/100], Step[199/526], Loss: 0.7547
Epoch [64/100], Step[200/526], Loss: 0.6848
Epoch [64/100], Step[201/526], Loss: 0.6750
Epoch [64/100], Step[202/526], Loss: 0.7651
Epoch [64/100], Step[203/526], Loss: 0.7034
Epoch [64/100], Step[204/526], Loss: 0.7220
Epoch [64/100], Step[205/526], Loss: 0.6930
Epoch [64/100], Step[206/526], Loss: 0.6796
Epoch [64/100], Step[207/526], Loss: 0.7131
Epoch [64/100], Step[208/526], Loss: 0.6776
Epoch [64/100], Step[209/526], Loss: 0.6757
Epoch [64/100], Step[210/526], Loss: 0.7653
Epoch [64/100], Step[211/526], Loss: 0.6220
Epoch [64/100], Step[212/526], Loss: 0.6821
Epoch [64/100], Step[213/526], Loss: 0.7207
Epoch [64/100], Step[214/526], Loss: 0.7470
Epoch [64/100], Step[215/526], Loss: 0.6978
Epoch [64/100], Step[216/526], Loss: 0.6772
Epoch [64/100], Step[217/526], Loss: 0.6742
Epoch [64/100], Step[218/526], Loss: 0.6972
Epoch [64/100], Step[219/526], Loss: 0.6851
Epoch [64/100], Step[220/526], Loss: 0.7266
Epoch [64/100], Step[221/526], Loss: 0.6963
Epoch [64/100], Step[222/526], Loss: 0.7416
Epoch [64/100], Step[223/526], Loss: 0.6791
Epoch [64/100], Step[224/526], Loss: 0.6782
Epoch [64/100], Step[225/526], Loss: 0.7223
Epoch [64/100], Step[226/526], Loss: 0.6651
Epoch [64/100], Step[227/526], Loss: 0.6593
Epoch [64/100], Step[228/526], Loss: 0.6519
Epoch [64/100], Step[229/526], Loss: 0.6781
Epoch [64/100], Step[230/526], Loss: 0.6578
Epoch [64/100], Step[231/526], Loss: 0.6660
Epoch [64/100], Step[232/526], Loss: 0.7155
Epoch [64/100], Step[233/526], Loss: 0.6817
Epoch [64/100], Step[234/526], Loss: 0.6659
Epoch [64/100], Step[235/526], Loss: 0.6948
Epoch [64/100], Step[236/526], Loss: 0.6941
Epoch [64/100], Step[237/526], Loss: 0.7222
Epoch [64/100], Step[238/526], Loss: 0.6781
Epoch [64/100], Step[239/526], Loss: 0.6643
Epoch [64/100], Step[240/526], Loss: 0.7283
Epoch [64/100], Step[241/526], Loss: 0.6885
Epoch [64/100], Step[242/526], Loss: 0.7107
Epoch [64/100], Step[243/526], Loss: 0.6073
Epoch [64/100], Step[244/526], Loss: 0.6371
Epoch [64/100], Step[245/526], Loss: 0.6357
Epoch [64/100], Step[246/526], Loss: 0.6568
Epoch [64/100], Step[247/526], Loss: 0.6035
Epoch [64/100], Step[248/526], Loss: 0.6544
Epoch [64/100], Step[249/526], Loss: 0.6557
Epoch [64/100], Step[250/526], Loss: 0.6752
Epoch [64/100], Step[251/526], Loss: 0.6973
Epoch [64/100], Step[252/526], Loss: 0.6877
Epoch [64/100], Step[253/526], Loss: 0.6234
Epoch [64/100], Step[254/526], Loss: 0.6669
Epoch [64/100], Step[255/526], Loss: 0.5777
Epoch [64/100], Step[256/526], Loss: 0.6763
Epoch [64/100], Step[257/526], Loss: 0.6553
Epoch [64/100], Step[258/526], Loss: 0.6208
Epoch [64/100], Step[259/526], Loss: 0.6944
Epoch [64/100], Step[260/526], Loss: 0.7872
Epoch [64/100], Step[261/526], Loss: 0.8003
Epoch [64/100], Step[262/526], Loss: 0.6784
Epoch [64/100], Step[263/526], Loss: 0.6643
Epoch [64/100], Step[264/526], Loss: 0.6262
Epoch [64/100], Step[265/526], Loss: 0.6160
Epoch [64/100], Step[266/526], Loss: 0.6234
Epoch [64/100], Step[267/526], Loss: 0.4885
Epoch [64/100], Step[268/526], Loss: 0.5423
Epoch [64/100], Step[269/526], Loss: 0.4440
Epoch [64/100], Step[270/526], Loss: 0.3742
Epoch [64/100], Step[271/526], Loss: 0.5091
Epoch [64/100], Step[272/526], Loss: 0.5245
Epoch [64/100], Step[273/526], Loss: 0.6395
Epoch [64/100], Step[274/526], Loss: 0.4201
Epoch [64/100], Step[275/526], Loss: 0.3810
Epoch [64/100], Step[276/526], Loss: 0.4712
Epoch [64/100], Step[277/526], Loss: 0.4062
Epoch [64/100], Step[278/526], Loss: 0.4460
Epoch [64/100], Step[279/526], Loss: 0.3960
Epoch [64/100], Step[280/526], Loss: 0.4407
Epoch [64/100], Step[281/526], Loss: 0.6307
Epoch [64/100], Step[282/526], Loss: 0.3500
Epoch [64/100], Step[283/526], Loss: 0.3664
Epoch [64/100], Step[284/526], Loss: 0.4029
Epoch [64/100], Step[285/526], Loss: 0.2670
Epoch [64/100], Step[286/526], Loss: 0.7016
Epoch [64/100], Step[287/526], Loss: 0.4795
Epoch [64/100], Step[288/526], Loss: 0.4251
Epoch [64/100], Step[289/526], Loss: 0.6184
Epoch [64/100], Step[290/526], Loss: 0.4292
Epoch [64/100], Step[291/526], Loss: 0.4999
Epoch [64/100], Step[292/526], Loss: 0.2637
Epoch [64/100], Step[293/526], Loss: 0.3060
Epoch [64/100], Step[294/526], Loss: 0.3173
Epoch [64/100], Step[295/526], Loss: 0.4108
Epoch [64/100], Step[296/526], Loss: 0.6169
Epoch [64/100], Step[297/526], Loss: 0.3067
Epoch [64/100], Step[298/526], Loss: 0.2672
Epoch [64/100], Step[299/526], Loss: 0.2348
Epoch [64/100], Step[300/526], Loss: 0.2793
Epoch [64/100], Step[301/526], Loss: 0.6231
Epoch [64/100], Step[302/526], Loss: 0.3298
Epoch [64/100], Step[303/526], Loss: 0.4778
Epoch [64/100], Step[304/526], Loss: 0.2440
Epoch [64/100], Step[305/526], Loss: 0.2503
Epoch [64/100], Step[306/526], Loss: 0.5887
Epoch [64/100], Step[307/526], Loss: 0.8938
Epoch [64/100], Step[308/526], Loss: 1.3424
Epoch [64/100], Step[309/526], Loss: 0.8967
Epoch [64/100], Step[310/526], Loss: 0.9641
Epoch [64/100], Step[311/526], Loss: 0.8296
Epoch [64/100], Step[312/526], Loss: 0.4856
Epoch [64/100], Step[313/526], Loss: 0.4723
Epoch [64/100], Step[314/526], Loss: 0.6400
Epoch [64/100], Step[315/526], Loss: 0.7120
Epoch [64/100], Step[316/526], Loss: 0.4897
Epoch [64/100], Step[317/526], Loss: 0.3261
Epoch [64/100], Step[318/526], Loss: 0.7698
Epoch [64/100], Step[319/526], Loss: 0.3610
Epoch [64/100], Step[320/526], Loss: 0.6313
Epoch [64/100], Step[321/526], Loss: 0.7028
Epoch [64/100], Step[322/526], Loss: 0.2763
Epoch [64/100], Step[323/526], Loss: 0.6183
Epoch [64/100], Step[324/526], Loss: 0.6478
Epoch [64/100], Step[325/526], Loss: 0.5950
Epoch [64/100], Step[326/526], Loss: 0.7399
Epoch [64/100], Step[327/526], Loss: 0.7468
Epoch [64/100], Step[328/526], Loss: 0.9331
Epoch [64/100], Step[329/526], Loss: 1.2577
Epoch [64/100], Step[330/526], Loss: 1.0427
Epoch [64/100], Step[331/526], Loss: 0.7701
Epoch [64/100], Step[332/526], Loss: 0.8205
Epoch [64/100], Step[333/526], Loss: 0.7553
Epoch [64/100], Step[334/526], Loss: 0.7556
Epoch [64/100], Step[335/526], Loss: 0.7823
Epoch [64/100], Step[336/526], Loss: 0.6921
Epoch [64/100], Step[337/526], Loss: 0.5925
Epoch [64/100], Step[338/526], Loss: 0.6986
Epoch [64/100], Step[339/526], Loss: 0.6373
Epoch [64/100], Step[340/526], Loss: 0.7169
Epoch [64/100], Step[341/526], Loss: 0.7626
Epoch [64/100], Step[342/526], Loss: 0.7674
Epoch [64/100], Step[343/526], Loss: 0.5371
Epoch [64/100], Step[344/526], Loss: 0.7240
Epoch [64/100], Step[345/526], Loss: 0.6514
Epoch [64/100], Step[346/526], Loss: 0.6623
Epoch [64/100], Step[347/526], Loss: 0.7139
Epoch [64/100], Step[348/526], Loss: 0.6252
Epoch [64/100], Step[349/526], Loss: 0.5732
Epoch [64/100], Step[350/526], Loss: 0.6677
Epoch [64/100], Step[351/526], Loss: 0.7084
Epoch [64/100], Step[352/526], Loss: 0.6074
Epoch [64/100], Step[353/526], Loss: 0.6806
Epoch [64/100], Step[354/526], Loss: 0.6662
Epoch [64/100], Step[355/526], Loss: 0.6671
Epoch [64/100], Step[356/526], Loss: 0.6973
Epoch [64/100], Step[357/526], Loss: 0.6616
Epoch [64/100], Step[358/526], Loss: 0.6948
Epoch [64/100], Step[359/526], Loss: 0.6479
Epoch [64/100], Step[360/526], Loss: 0.6854
Epoch [64/100], Step[361/526], Loss: 0.7288
Epoch [64/100], Step[362/526], Loss: 0.7067
Epoch [64/100], Step[363/526], Loss: 0.6932
Epoch [64/100], Step[364/526], Loss: 0.7223
Epoch [64/100], Step[365/526], Loss: 0.7167
Epoch [64/100], Step[366/526], Loss: 0.6836
Epoch [64/100], Step[367/526], Loss: 0.6914
Epoch [64/100], Step[368/526], Loss: 0.6474
Epoch [64/100], Step[369/526], Loss: 0.6564
Epoch [64/100], Step[370/526], Loss: 0.5520
Epoch [64/100], Step[371/526], Loss: 0.7401
Epoch [64/100], Step[372/526], Loss: 0.6351
Epoch [64/100], Step[373/526], Loss: 0.6782
Epoch [64/100], Step[374/526], Loss: 0.7073
Epoch [64/100], Step[375/526], Loss: 0.6494
Epoch [64/100], Step[376/526], Loss: 0.6578
Epoch [64/100], Step[377/526], Loss: 0.6941
Epoch [64/100], Step[378/526], Loss: 0.6796
Epoch [64/100], Step[379/526], Loss: 0.7551
Epoch [64/100], Step[380/526], Loss: 0.6062
Epoch [64/100], Step[381/526], Loss: 0.5928
Epoch [64/100], Step[382/526], Loss: 0.6774
Epoch [64/100], Step[383/526], Loss: 0.7240
Epoch [64/100], Step[384/526], Loss: 0.6355
Epoch [64/100], Step[385/526], Loss: 0.6179
Epoch [64/100], Step[386/526], Loss: 0.6748
Epoch [64/100], Step[387/526], Loss: 0.6336
Epoch [64/100], Step[388/526], Loss: 0.5889
Epoch [64/100], Step[389/526], Loss: 0.7276
Epoch [64/100], Step[390/526], Loss: 0.5756
Epoch [64/100], Step[391/526], Loss: 0.6552
Epoch [64/100], Step[392/526], Loss: 0.7009
Epoch [64/100], Step[393/526], Loss: 0.5844
Epoch [64/100], Step[394/526], Loss: 0.5127
Epoch [64/100], Step[395/526], Loss: 0.5964
Epoch [64/100], Step[396/526], Loss: 0.6259
Epoch [64/100], Step[397/526], Loss: 0.4585
Epoch [64/100], Step[398/526], Loss: 0.6008
Epoch [64/100], Step[399/526], Loss: 0.6524
Epoch [64/100], Step[400/526], Loss: 0.4740
Epoch [64/100], Step[401/526], Loss: 0.6089
Epoch [64/100], Step[402/526], Loss: 0.6409
Epoch [64/100], Step[403/526], Loss: 0.7613
Epoch [64/100], Step[404/526], Loss: 0.4811
Epoch [64/100], Step[405/526], Loss: 0.5009
Epoch [64/100], Step[406/526], Loss: 0.6290
Epoch [64/100], Step[407/526], Loss: 0.7622
Epoch [64/100], Step[408/526], Loss: 0.6499
Epoch [64/100], Step[409/526], Loss: 0.4688
Epoch [64/100], Step[410/526], Loss: 0.4933
Epoch [64/100], Step[411/526], Loss: 0.5368
Epoch [64/100], Step[412/526], Loss: 0.5971
Epoch [64/100], Step[413/526], Loss: 0.6034
Epoch [64/100], Step[414/526], Loss: 0.6454
Epoch [64/100], Step[415/526], Loss: 0.6032
Epoch [64/100], Step[416/526], Loss: 0.5481
Epoch [64/100], Step[417/526], Loss: 0.4336
Epoch [64/100], Step[418/526], Loss: 0.7381
Epoch [64/100], Step[419/526], Loss: 0.6952
Epoch [64/100], Step[420/526], Loss: 0.6847
Epoch [64/100], Step[421/526], Loss: 0.6489
Epoch [64/100], Step[422/526], Loss: 0.7553
Epoch [64/100], Step[423/526], Loss: 0.6935
Epoch [64/100], Step[424/526], Loss: 0.7411
Epoch [64/100], Step[425/526], Loss: 0.6843
Epoch [64/100], Step[426/526], Loss: 0.7898
Epoch [64/100], Step[427/526], Loss: 0.7065
Epoch [64/100], Step[428/526], Loss: 0.7121
Epoch [64/100], Step[429/526], Loss: 0.7330
Epoch [64/100], Step[430/526], Loss: 0.7847
Epoch [64/100], Step[431/526], Loss: 0.7055
Epoch [64/100], Step[432/526], Loss: 0.7343
Epoch [64/100], Step[433/526], Loss: 0.6849
Epoch [64/100], Step[434/526], Loss: 0.6124
Epoch [64/100], Step[435/526], Loss: 0.7815
Epoch [64/100], Step[436/526], Loss: 0.8063
Epoch [64/100], Step[437/526], Loss: 0.4922
Epoch [64/100], Step[438/526], Loss: 0.3593
Epoch [64/100], Step[439/526], Loss: 0.7216
Epoch [64/100], Step[440/526], Loss: 0.6808
Epoch [64/100], Step[441/526], Loss: 0.6955
Epoch [64/100], Step[442/526], Loss: 0.6422
Epoch [64/100], Step[443/526], Loss: 0.6724
Epoch [64/100], Step[444/526], Loss: 0.7519
Epoch [64/100], Step[445/526], Loss: 0.7046
Epoch [64/100], Step[446/526], Loss: 0.7168
Epoch [64/100], Step[447/526], Loss: 0.7203
Epoch [64/100], Step[448/526], Loss: 0.7163
Epoch [64/100], Step[449/526], Loss: 0.6736
Epoch [64/100], Step[450/526], Loss: 0.6045
Epoch [64/100], Step[451/526], Loss: 0.6652
Epoch [64/100], Step[452/526], Loss: 0.7259
Epoch [64/100], Step[453/526], Loss: 0.7122
Epoch [64/100], Step[454/526], Loss: 0.8322
Epoch [64/100], Step[455/526], Loss: 0.6548
Epoch [64/100], Step[456/526], Loss: 0.6302
Epoch [64/100], Step[457/526], Loss: 0.7008
Epoch [64/100], Step[458/526], Loss: 0.6873
Epoch [64/100], Step[459/526], Loss: 0.6611
Epoch [64/100], Step[460/526], Loss: 0.6445
Epoch [64/100], Step[461/526], Loss: 0.6142
Epoch [64/100], Step[462/526], Loss: 0.6707
Epoch [64/100], Step[463/526], Loss: 0.6553
Epoch [64/100], Step[464/526], Loss: 0.6350
Epoch [64/100], Step[465/526], Loss: 0.6619
Epoch [64/100], Step[466/526], Loss: 0.6726
Epoch [64/100], Step[467/526], Loss: 0.6448
Epoch [64/100], Step[468/526], Loss: 0.6172
Epoch [64/100], Step[469/526], Loss: 0.8093
Epoch [64/100], Step[470/526], Loss: 0.6598
Epoch [64/100], Step[471/526], Loss: 0.6950
Epoch [64/100], Step[472/526], Loss: 0.6778
Epoch [64/100], Step[473/526], Loss: 0.6803
Epoch [64/100], Step[474/526], Loss: 0.6811
Epoch [64/100], Step[475/526], Loss: 0.8347
Epoch [64/100], Step[476/526], Loss: 0.7416
Epoch [64/100], Step[477/526], Loss: 0.7079
Epoch [64/100], Step[478/526], Loss: 0.6889
Epoch [64/100], Step[479/526], Loss: 0.6588
Epoch [64/100], Step[480/526], Loss: 0.7345
Epoch [64/100], Step[481/526], Loss: 0.7304
Epoch [64/100], Step[482/526], Loss: 0.6175
Epoch [64/100], Step[483/526], Loss: 0.5381
Epoch [64/100], Step[484/526], Loss: 0.6992
Epoch [64/100], Step[485/526], Loss: 0.7818
Epoch [64/100], Step[486/526], Loss: 0.7259
Epoch [64/100], Step[487/526], Loss: 0.7554
Epoch [64/100], Step[488/526], Loss: 0.6818
Epoch [64/100], Step[489/526], Loss: 0.6051
Epoch [64/100], Step[490/526], Loss: 0.6134
Epoch [64/100], Step[491/526], Loss: 0.6992
Epoch [64/100], Step[492/526], Loss: 0.6491
Epoch [64/100], Step[493/526], Loss: 0.6391
Epoch [64/100], Step[494/526], Loss: 0.6608
Epoch [64/100], Step[495/526], Loss: 0.6806
Epoch [64/100], Step[496/526], Loss: 0.6663
Epoch [64/100], Step[497/526], Loss: 0.6358
Epoch [64/100], Step[498/526], Loss: 0.6688
Epoch [64/100], Step[499/526], Loss: 0.6705
Epoch [64/100], Step[500/526], Loss: 0.7000
Epoch [64/100], Step[501/526], Loss: 0.6530
Epoch [64/100], Step[502/526], Loss: 0.6990
Epoch [64/100], Step[503/526], Loss: 0.7128
Epoch [64/100], Step[504/526], Loss: 0.7078
Epoch [64/100], Step[505/526], Loss: 0.7088
Epoch [64/100], Step[506/526], Loss: 0.6607
Epoch [64/100], Step[507/526], Loss: 0.6718
Epoch [64/100], Step[508/526], Loss: 0.6939
Epoch [64/100], Step[509/526], Loss: 0.6417
Epoch [64/100], Step[510/526], Loss: 0.7009
Epoch [64/100], Step[511/526], Loss: 0.6407
Epoch [64/100], Step[512/526], Loss: 0.6729
Epoch [64/100], Step[513/526], Loss: 0.6452
Epoch [64/100], Step[514/526], Loss: 0.6536
Epoch [64/100], Step[515/526], Loss: 0.5731
Epoch [64/100], Step[516/526], Loss: 0.7500
Epoch [64/100], Step[517/526], Loss: 0.6931
Epoch [64/100], Step[518/526], Loss: 0.7308
Epoch [64/100], Step[519/526], Loss: 0.7174
Epoch [64/100], Step[520/526], Loss: 0.6784
Epoch [64/100], Step[521/526], Loss: 0.6512
Epoch [64/100], Step[522/526], Loss: 0.6023
Epoch [64/100], Step[523/526], Loss: 0.6471
Epoch [64/100], Step[524/526], Loss: 0.6272
Epoch [64/100], Step[525/526], Loss: 0.7504
Epoch [64/100], Step[526/526], Loss: 0.7144
Epoch [65/100], Step[1/526], Loss: 0.6470
Epoch [65/100], Step[2/526], Loss: 0.6394
Epoch [65/100], Step[3/526], Loss: 0.6693
Epoch [65/100], Step[4/526], Loss: 0.6325
Epoch [65/100], Step[5/526], Loss: 0.7422
Epoch [65/100], Step[6/526], Loss: 0.7564
Epoch [65/100], Step[7/526], Loss: 0.6965
Epoch [65/100], Step[8/526], Loss: 0.6789
Epoch [65/100], Step[9/526], Loss: 0.7011
Epoch [65/100], Step[10/526], Loss: 0.6561
Epoch [65/100], Step[11/526], Loss: 0.7027
Epoch [65/100], Step[12/526], Loss: 0.7481
Epoch [65/100], Step[13/526], Loss: 0.5993
Epoch [65/100], Step[14/526], Loss: 0.6273
Epoch [65/100], Step[15/526], Loss: 0.6863
Epoch [65/100], Step[16/526], Loss: 0.7008
Epoch [65/100], Step[17/526], Loss: 0.7103
Epoch [65/100], Step[18/526], Loss: 0.6565
Epoch [65/100], Step[19/526], Loss: 0.6653
Epoch [65/100], Step[20/526], Loss: 0.7463
Epoch [65/100], Step[21/526], Loss: 0.7574
Epoch [65/100], Step[22/526], Loss: 0.7329
Epoch [65/100], Step[23/526], Loss: 0.7397
Epoch [65/100], Step[24/526], Loss: 0.7145
Epoch [65/100], Step[25/526], Loss: 0.6946
Epoch [65/100], Step[26/526], Loss: 0.6079
Epoch [65/100], Step[27/526], Loss: 0.6720
Epoch [65/100], Step[28/526], Loss: 0.6770
Epoch [65/100], Step[29/526], Loss: 0.6468
Epoch [65/100], Step[30/526], Loss: 0.6906
Epoch [65/100], Step[31/526], Loss: 0.7043
Epoch [65/100], Step[32/526], Loss: 0.6650
Epoch [65/100], Step[33/526], Loss: 0.7159
Epoch [65/100], Step[34/526], Loss: 0.6945
Epoch [65/100], Step[35/526], Loss: 0.7060
Epoch [65/100], Step[36/526], Loss: 0.7042
Epoch [65/100], Step[37/526], Loss: 0.6867
Epoch [65/100], Step[38/526], Loss: 0.7068
Epoch [65/100], Step[39/526], Loss: 0.6886
Epoch [65/100], Step[40/526], Loss: 0.7021
Epoch [65/100], Step[41/526], Loss: 0.6906
Epoch [65/100], Step[42/526], Loss: 0.7114
Epoch [65/100], Step[43/526], Loss: 0.7305
Epoch [65/100], Step[44/526], Loss: 0.6747
Epoch [65/100], Step[45/526], Loss: 0.6588
Epoch [65/100], Step[46/526], Loss: 0.6780
Epoch [65/100], Step[47/526], Loss: 0.7471
Epoch [65/100], Step[48/526], Loss: 0.7316
Epoch [65/100], Step[49/526], Loss: 0.7077
Epoch [65/100], Step[50/526], Loss: 0.6982
Epoch [65/100], Step[51/526], Loss: 0.6998
Epoch [65/100], Step[52/526], Loss: 0.6534
Epoch [65/100], Step[53/526], Loss: 0.6881
Epoch [65/100], Step[54/526], Loss: 0.7246
Epoch [65/100], Step[55/526], Loss: 0.7154
Epoch [65/100], Step[56/526], Loss: 0.6872
Epoch [65/100], Step[57/526], Loss: 0.6695
Epoch [65/100], Step[58/526], Loss: 0.6774
Epoch [65/100], Step[59/526], Loss: 0.6479
Epoch [65/100], Step[60/526], Loss: 0.6696
Epoch [65/100], Step[61/526], Loss: 0.6620
Epoch [65/100], Step[62/526], Loss: 0.6863
Epoch [65/100], Step[63/526], Loss: 0.6810
Epoch [65/100], Step[64/526], Loss: 0.6828
Epoch [65/100], Step[65/526], Loss: 0.7184
Epoch [65/100], Step[66/526], Loss: 0.6846
Epoch [65/100], Step[67/526], Loss: 0.6403
Epoch [65/100], Step[68/526], Loss: 0.6420
Epoch [65/100], Step[69/526], Loss: 0.6932
Epoch [65/100], Step[70/526], Loss: 0.6951
Epoch [65/100], Step[71/526], Loss: 0.6778
Epoch [65/100], Step[72/526], Loss: 0.6818
Epoch [65/100], Step[73/526], Loss: 0.7173
Epoch [65/100], Step[74/526], Loss: 0.6461
Epoch [65/100], Step[75/526], Loss: 0.6882
Epoch [65/100], Step[76/526], Loss: 0.6614
Epoch [65/100], Step[77/526], Loss: 0.6959
Epoch [65/100], Step[78/526], Loss: 0.7161
Epoch [65/100], Step[79/526], Loss: 0.6815
Epoch [65/100], Step[80/526], Loss: 0.6827
Epoch [65/100], Step[81/526], Loss: 0.6866
Epoch [65/100], Step[82/526], Loss: 0.7227
Epoch [65/100], Step[83/526], Loss: 0.6835
Epoch [65/100], Step[84/526], Loss: 0.6784
Epoch [65/100], Step[85/526], Loss: 0.6421
Epoch [65/100], Step[86/526], Loss: 0.6933
Epoch [65/100], Step[87/526], Loss: 0.6786
Epoch [65/100], Step[88/526], Loss: 0.7052
Epoch [65/100], Step[89/526], Loss: 0.7172
Epoch [65/100], Step[90/526], Loss: 0.7170
Epoch [65/100], Step[91/526], Loss: 0.6669
Epoch [65/100], Step[92/526], Loss: 0.6584
Epoch [65/100], Step[93/526], Loss: 0.6884
Epoch [65/100], Step[94/526], Loss: 0.8092
Epoch [65/100], Step[95/526], Loss: 0.7286
Epoch [65/100], Step[96/526], Loss: 0.6405
Epoch [65/100], Step[97/526], Loss: 0.6183
Epoch [65/100], Step[98/526], Loss: 0.6801
Epoch [65/100], Step[99/526], Loss: 0.6920
Epoch [65/100], Step[100/526], Loss: 0.6591
Epoch [65/100], Step[101/526], Loss: 0.6498
Epoch [65/100], Step[102/526], Loss: 0.6393
Epoch [65/100], Step[103/526], Loss: 0.7181
Epoch [65/100], Step[104/526], Loss: 0.6608
Epoch [65/100], Step[105/526], Loss: 0.6435
Epoch [65/100], Step[106/526], Loss: 0.6826
Epoch [65/100], Step[107/526], Loss: 0.6262
Epoch [65/100], Step[108/526], Loss: 0.5749
Epoch [65/100], Step[109/526], Loss: 0.6704
Epoch [65/100], Step[110/526], Loss: 0.6816
Epoch [65/100], Step[111/526], Loss: 0.5966
Epoch [65/100], Step[112/526], Loss: 0.7263
Epoch [65/100], Step[113/526], Loss: 0.6094
Epoch [65/100], Step[114/526], Loss: 0.6651
Epoch [65/100], Step[115/526], Loss: 0.6015
Epoch [65/100], Step[116/526], Loss: 0.6303
Epoch [65/100], Step[117/526], Loss: 0.6703
Epoch [65/100], Step[118/526], Loss: 0.7505
Epoch [65/100], Step[119/526], Loss: 0.6764
Epoch [65/100], Step[120/526], Loss: 0.6804
Epoch [65/100], Step[121/526], Loss: 0.6851
Epoch [65/100], Step[122/526], Loss: 0.6272
Epoch [65/100], Step[123/526], Loss: 0.6460
Epoch [65/100], Step[124/526], Loss: 0.6691
Epoch [65/100], Step[125/526], Loss: 0.6372
Epoch [65/100], Step[126/526], Loss: 0.7227
Epoch [65/100], Step[127/526], Loss: 0.6658
Epoch [65/100], Step[128/526], Loss: 0.6432
Epoch [65/100], Step[129/526], Loss: 0.6017
Epoch [65/100], Step[130/526], Loss: 0.6245
Epoch [65/100], Step[131/526], Loss: 0.6629
Epoch [65/100], Step[132/526], Loss: 0.7116
Epoch [65/100], Step[133/526], Loss: 0.6666
Epoch [65/100], Step[134/526], Loss: 0.6261
Epoch [65/100], Step[135/526], Loss: 0.6448
Epoch [65/100], Step[136/526], Loss: 0.5685
Epoch [65/100], Step[137/526], Loss: 0.6360
Epoch [65/100], Step[138/526], Loss: 0.6400
Epoch [65/100], Step[139/526], Loss: 0.6911
Epoch [65/100], Step[140/526], Loss: 0.5981
Epoch [65/100], Step[141/526], Loss: 0.6733
Epoch [65/100], Step[142/526], Loss: 0.6665
Epoch [65/100], Step[143/526], Loss: 0.6845
Epoch [65/100], Step[144/526], Loss: 0.7826
Epoch [65/100], Step[145/526], Loss: 0.5344
Epoch [65/100], Step[146/526], Loss: 0.5137
Epoch [65/100], Step[147/526], Loss: 0.4704
Epoch [65/100], Step[148/526], Loss: 0.6019
Epoch [65/100], Step[149/526], Loss: 0.4671
Epoch [65/100], Step[150/526], Loss: 0.5622
Epoch [65/100], Step[151/526], Loss: 0.5456
Epoch [65/100], Step[152/526], Loss: 0.6201
Epoch [65/100], Step[153/526], Loss: 0.6289
Epoch [65/100], Step[154/526], Loss: 0.6939
Epoch [65/100], Step[155/526], Loss: 0.6775
Epoch [65/100], Step[156/526], Loss: 0.5420
Epoch [65/100], Step[157/526], Loss: 0.2723
Epoch [65/100], Step[158/526], Loss: 0.6079
Epoch [65/100], Step[159/526], Loss: 0.6615
Epoch [65/100], Step[160/526], Loss: 0.5420
Epoch [65/100], Step[161/526], Loss: 0.8692
Epoch [65/100], Step[162/526], Loss: 0.7095
Epoch [65/100], Step[163/526], Loss: 0.6976
Epoch [65/100], Step[164/526], Loss: 0.6338
Epoch [65/100], Step[165/526], Loss: 0.6996
Epoch [65/100], Step[166/526], Loss: 0.5107
Epoch [65/100], Step[167/526], Loss: 0.5638
Epoch [65/100], Step[168/526], Loss: 0.7101
Epoch [65/100], Step[169/526], Loss: 0.7606
Epoch [65/100], Step[170/526], Loss: 0.7152
Epoch [65/100], Step[171/526], Loss: 0.7353
Epoch [65/100], Step[172/526], Loss: 0.7060
Epoch [65/100], Step[173/526], Loss: 0.8302
Epoch [65/100], Step[174/526], Loss: 0.6147
Epoch [65/100], Step[175/526], Loss: 0.6445
Epoch [65/100], Step[176/526], Loss: 0.6748
Epoch [65/100], Step[177/526], Loss: 0.6625
Epoch [65/100], Step[178/526], Loss: 0.6988
Epoch [65/100], Step[179/526], Loss: 0.6322
Epoch [65/100], Step[180/526], Loss: 0.6272
Epoch [65/100], Step[181/526], Loss: 0.6445
Epoch [65/100], Step[182/526], Loss: 0.6894
Epoch [65/100], Step[183/526], Loss: 0.5343
Epoch [65/100], Step[184/526], Loss: 0.5790
Epoch [65/100], Step[185/526], Loss: 0.5776
Epoch [65/100], Step[186/526], Loss: 0.6379
Epoch [65/100], Step[187/526], Loss: 0.7570
Epoch [65/100], Step[188/526], Loss: 0.7488
Epoch [65/100], Step[189/526], Loss: 0.6785
Epoch [65/100], Step[190/526], Loss: 0.6494
Epoch [65/100], Step[191/526], Loss: 0.7236
Epoch [65/100], Step[192/526], Loss: 0.8338
Epoch [65/100], Step[193/526], Loss: 0.6487
Epoch [65/100], Step[194/526], Loss: 0.6346
Epoch [65/100], Step[195/526], Loss: 0.6320
Epoch [65/100], Step[196/526], Loss: 0.7170
Epoch [65/100], Step[197/526], Loss: 0.6543
Epoch [65/100], Step[198/526], Loss: 0.6138
Epoch [65/100], Step[199/526], Loss: 0.7438
Epoch [65/100], Step[200/526], Loss: 0.6614
Epoch [65/100], Step[201/526], Loss: 0.6877
Epoch [65/100], Step[202/526], Loss: 0.7841
Epoch [65/100], Step[203/526], Loss: 0.6706
Epoch [65/100], Step[204/526], Loss: 0.7773
Epoch [65/100], Step[205/526], Loss: 0.7113
Epoch [65/100], Step[206/526], Loss: 0.6950
Epoch [65/100], Step[207/526], Loss: 0.7261
Epoch [65/100], Step[208/526], Loss: 0.6936
Epoch [65/100], Step[209/526], Loss: 0.7023
Epoch [65/100], Step[210/526], Loss: 0.7936
Epoch [65/100], Step[211/526], Loss: 0.6273
Epoch [65/100], Step[212/526], Loss: 0.6865
Epoch [65/100], Step[213/526], Loss: 0.7248
Epoch [65/100], Step[214/526], Loss: 0.7469
Epoch [65/100], Step[215/526], Loss: 0.6943
Epoch [65/100], Step[216/526], Loss: 0.6786
Epoch [65/100], Step[217/526], Loss: 0.6699
Epoch [65/100], Step[218/526], Loss: 0.7014
Epoch [65/100], Step[219/526], Loss: 0.6916
Epoch [65/100], Step[220/526], Loss: 0.7423
Epoch [65/100], Step[221/526], Loss: 0.6925
Epoch [65/100], Step[222/526], Loss: 0.7674
Epoch [65/100], Step[223/526], Loss: 0.6758
Epoch [65/100], Step[224/526], Loss: 0.6774
Epoch [65/100], Step[225/526], Loss: 0.7360
Epoch [65/100], Step[226/526], Loss: 0.6734
Epoch [65/100], Step[227/526], Loss: 0.6617
Epoch [65/100], Step[228/526], Loss: 0.6514
Epoch [65/100], Step[229/526], Loss: 0.6758
Epoch [65/100], Step[230/526], Loss: 0.6573
Epoch [65/100], Step[231/526], Loss: 0.6645
Epoch [65/100], Step[232/526], Loss: 0.7147
Epoch [65/100], Step[233/526], Loss: 0.6825
Epoch [65/100], Step[234/526], Loss: 0.6695
Epoch [65/100], Step[235/526], Loss: 0.6952
Epoch [65/100], Step[236/526], Loss: 0.6953
Epoch [65/100], Step[237/526], Loss: 0.7177
Epoch [65/100], Step[238/526], Loss: 0.6788
Epoch [65/100], Step[239/526], Loss: 0.6633
Epoch [65/100], Step[240/526], Loss: 0.7249
Epoch [65/100], Step[241/526], Loss: 0.6880
Epoch [65/100], Step[242/526], Loss: 0.7097
Epoch [65/100], Step[243/526], Loss: 0.6059
Epoch [65/100], Step[244/526], Loss: 0.6389
Epoch [65/100], Step[245/526], Loss: 0.6360
Epoch [65/100], Step[246/526], Loss: 0.6596
Epoch [65/100], Step[247/526], Loss: 0.6076
Epoch [65/100], Step[248/526], Loss: 0.6540
Epoch [65/100], Step[249/526], Loss: 0.6591
Epoch [65/100], Step[250/526], Loss: 0.6770
Epoch [65/100], Step[251/526], Loss: 0.7010
Epoch [65/100], Step[252/526], Loss: 0.6922
Epoch [65/100], Step[253/526], Loss: 0.6271
Epoch [65/100], Step[254/526], Loss: 0.6702
Epoch [65/100], Step[255/526], Loss: 0.5868
Epoch [65/100], Step[256/526], Loss: 0.6841
Epoch [65/100], Step[257/526], Loss: 0.6541
Epoch [65/100], Step[258/526], Loss: 0.6238
Epoch [65/100], Step[259/526], Loss: 0.6854
Epoch [65/100], Step[260/526], Loss: 0.7637
Epoch [65/100], Step[261/526], Loss: 0.7636
Epoch [65/100], Step[262/526], Loss: 0.6758
Epoch [65/100], Step[263/526], Loss: 0.6589
Epoch [65/100], Step[264/526], Loss: 0.6218
Epoch [65/100], Step[265/526], Loss: 0.6200
Epoch [65/100], Step[266/526], Loss: 0.6278
Epoch [65/100], Step[267/526], Loss: 0.6352
Epoch [65/100], Step[268/526], Loss: 0.5465
Epoch [65/100], Step[269/526], Loss: 0.4483
Epoch [65/100], Step[270/526], Loss: 0.3765
Epoch [65/100], Step[271/526], Loss: 0.5068
Epoch [65/100], Step[272/526], Loss: 0.5154
Epoch [65/100], Step[273/526], Loss: 0.6412
Epoch [65/100], Step[274/526], Loss: 0.4336
Epoch [65/100], Step[275/526], Loss: 0.4003
Epoch [65/100], Step[276/526], Loss: 0.4822
Epoch [65/100], Step[277/526], Loss: 0.4159
Epoch [65/100], Step[278/526], Loss: 0.4540
Epoch [65/100], Step[279/526], Loss: 0.4063
Epoch [65/100], Step[280/526], Loss: 0.4433
Epoch [65/100], Step[281/526], Loss: 0.6147
Epoch [65/100], Step[282/526], Loss: 0.3619
Epoch [65/100], Step[283/526], Loss: 0.3823
Epoch [65/100], Step[284/526], Loss: 0.4181
Epoch [65/100], Step[285/526], Loss: 0.2836
Epoch [65/100], Step[286/526], Loss: 0.7028
Epoch [65/100], Step[287/526], Loss: 0.4835
Epoch [65/100], Step[288/526], Loss: 0.4289
Epoch [65/100], Step[289/526], Loss: 0.6150
Epoch [65/100], Step[290/526], Loss: 0.4315
Epoch [65/100], Step[291/526], Loss: 0.4907
Epoch [65/100], Step[292/526], Loss: 0.2845
Epoch [65/100], Step[293/526], Loss: 0.3091
Epoch [65/100], Step[294/526], Loss: 0.3341
Epoch [65/100], Step[295/526], Loss: 0.4192
Epoch [65/100], Step[296/526], Loss: 0.6048
Epoch [65/100], Step[297/526], Loss: 0.3240
Epoch [65/100], Step[298/526], Loss: 0.2821
Epoch [65/100], Step[299/526], Loss: 0.2444
Epoch [65/100], Step[300/526], Loss: 0.2804
Epoch [65/100], Step[301/526], Loss: 0.6196
Epoch [65/100], Step[302/526], Loss: 0.3397
Epoch [65/100], Step[303/526], Loss: 0.4756
Epoch [65/100], Step[304/526], Loss: 0.2443
Epoch [65/100], Step[305/526], Loss: 0.2608
Epoch [65/100], Step[306/526], Loss: 0.5814
Epoch [65/100], Step[307/526], Loss: 0.9030
Epoch [65/100], Step[308/526], Loss: 1.3096
Epoch [65/100], Step[309/526], Loss: 0.9014
Epoch [65/100], Step[310/526], Loss: 0.9533
Epoch [65/100], Step[311/526], Loss: 0.8334
Epoch [65/100], Step[312/526], Loss: 0.4809
Epoch [65/100], Step[313/526], Loss: 0.4763
Epoch [65/100], Step[314/526], Loss: 0.6309
Epoch [65/100], Step[315/526], Loss: 0.7096
Epoch [65/100], Step[316/526], Loss: 0.4916
Epoch [65/100], Step[317/526], Loss: 0.3255
Epoch [65/100], Step[318/526], Loss: 0.7697
Epoch [65/100], Step[319/526], Loss: 0.3634
Epoch [65/100], Step[320/526], Loss: 0.6346
Epoch [65/100], Step[321/526], Loss: 0.7128
Epoch [65/100], Step[322/526], Loss: 0.2752
Epoch [65/100], Step[323/526], Loss: 0.6128
Epoch [65/100], Step[324/526], Loss: 0.6449
Epoch [65/100], Step[325/526], Loss: 0.5908
Epoch [65/100], Step[326/526], Loss: 0.7401
Epoch [65/100], Step[327/526], Loss: 0.7564
Epoch [65/100], Step[328/526], Loss: 0.9268
Epoch [65/100], Step[329/526], Loss: 1.2522
Epoch [65/100], Step[330/526], Loss: 1.0207
Epoch [65/100], Step[331/526], Loss: 0.7730
Epoch [65/100], Step[332/526], Loss: 0.8146
Epoch [65/100], Step[333/526], Loss: 0.7527
Epoch [65/100], Step[334/526], Loss: 0.7507
Epoch [65/100], Step[335/526], Loss: 0.7880
Epoch [65/100], Step[336/526], Loss: 0.6920
Epoch [65/100], Step[337/526], Loss: 0.5894
Epoch [65/100], Step[338/526], Loss: 0.7043
Epoch [65/100], Step[339/526], Loss: 0.6400
Epoch [65/100], Step[340/526], Loss: 0.7197
Epoch [65/100], Step[341/526], Loss: 0.7597
Epoch [65/100], Step[342/526], Loss: 0.7656
Epoch [65/100], Step[343/526], Loss: 0.5343
Epoch [65/100], Step[344/526], Loss: 0.7208
Epoch [65/100], Step[345/526], Loss: 0.6546
Epoch [65/100], Step[346/526], Loss: 0.6597
Epoch [65/100], Step[347/526], Loss: 0.7157
Epoch [65/100], Step[348/526], Loss: 0.6213
Epoch [65/100], Step[349/526], Loss: 0.5723
Epoch [65/100], Step[350/526], Loss: 0.6669
Epoch [65/100], Step[351/526], Loss: 0.7081
Epoch [65/100], Step[352/526], Loss: 0.6103
Epoch [65/100], Step[353/526], Loss: 0.6818
Epoch [65/100], Step[354/526], Loss: 0.6659
Epoch [65/100], Step[355/526], Loss: 0.6675
Epoch [65/100], Step[356/526], Loss: 0.7003
Epoch [65/100], Step[357/526], Loss: 0.6618
Epoch [65/100], Step[358/526], Loss: 0.6979
Epoch [65/100], Step[359/526], Loss: 0.6444
Epoch [65/100], Step[360/526], Loss: 0.6851
Epoch [65/100], Step[361/526], Loss: 0.7339
Epoch [65/100], Step[362/526], Loss: 0.7054
Epoch [65/100], Step[363/526], Loss: 0.6929
Epoch [65/100], Step[364/526], Loss: 0.7252
Epoch [65/100], Step[365/526], Loss: 0.7190
Epoch [65/100], Step[366/526], Loss: 0.6834
Epoch [65/100], Step[367/526], Loss: 0.6911
Epoch [65/100], Step[368/526], Loss: 0.6476
Epoch [65/100], Step[369/526], Loss: 0.6588
Epoch [65/100], Step[370/526], Loss: 0.5289
Epoch [65/100], Step[371/526], Loss: 0.7392
Epoch [65/100], Step[372/526], Loss: 0.6357
Epoch [65/100], Step[373/526], Loss: 0.6789
Epoch [65/100], Step[374/526], Loss: 0.7086
Epoch [65/100], Step[375/526], Loss: 0.6482
Epoch [65/100], Step[376/526], Loss: 0.6501
Epoch [65/100], Step[377/526], Loss: 0.6947
Epoch [65/100], Step[378/526], Loss: 0.6822
Epoch [65/100], Step[379/526], Loss: 0.7568
Epoch [65/100], Step[380/526], Loss: 0.6042
Epoch [65/100], Step[381/526], Loss: 0.5889
Epoch [65/100], Step[382/526], Loss: 0.6746
Epoch [65/100], Step[383/526], Loss: 0.7184
Epoch [65/100], Step[384/526], Loss: 0.6326
Epoch [65/100], Step[385/526], Loss: 0.6173
Epoch [65/100], Step[386/526], Loss: 0.6741
Epoch [65/100], Step[387/526], Loss: 0.6509
Epoch [65/100], Step[388/526], Loss: 0.5914
Epoch [65/100], Step[389/526], Loss: 0.7249
Epoch [65/100], Step[390/526], Loss: 0.5728
Epoch [65/100], Step[391/526], Loss: 0.6540
Epoch [65/100], Step[392/526], Loss: 0.7019
Epoch [65/100], Step[393/526], Loss: 0.5809
Epoch [65/100], Step[394/526], Loss: 0.5106
Epoch [65/100], Step[395/526], Loss: 0.5923
Epoch [65/100], Step[396/526], Loss: 0.6258
Epoch [65/100], Step[397/526], Loss: 0.4601
Epoch [65/100], Step[398/526], Loss: 0.6021
Epoch [65/100], Step[399/526], Loss: 0.6544
Epoch [65/100], Step[400/526], Loss: 0.4741
Epoch [65/100], Step[401/526], Loss: 0.6024
Epoch [65/100], Step[402/526], Loss: 0.6420
Epoch [65/100], Step[403/526], Loss: 0.7329
Epoch [65/100], Step[404/526], Loss: 0.4810
Epoch [65/100], Step[405/526], Loss: 0.4995
Epoch [65/100], Step[406/526], Loss: 0.6340
Epoch [65/100], Step[407/526], Loss: 0.7646
Epoch [65/100], Step[408/526], Loss: 0.6500
Epoch [65/100], Step[409/526], Loss: 0.4779
Epoch [65/100], Step[410/526], Loss: 0.4925
Epoch [65/100], Step[411/526], Loss: 0.5382
Epoch [65/100], Step[412/526], Loss: 0.5940
Epoch [65/100], Step[413/526], Loss: 0.6041
Epoch [65/100], Step[414/526], Loss: 0.6439
Epoch [65/100], Step[415/526], Loss: 0.6028
Epoch [65/100], Step[416/526], Loss: 0.5484
Epoch [65/100], Step[417/526], Loss: 0.4434
Epoch [65/100], Step[418/526], Loss: 0.7399
Epoch [65/100], Step[419/526], Loss: 0.6942
Epoch [65/100], Step[420/526], Loss: 0.6857
Epoch [65/100], Step[421/526], Loss: 0.6463
Epoch [65/100], Step[422/526], Loss: 0.7580
Epoch [65/100], Step[423/526], Loss: 0.6882
Epoch [65/100], Step[424/526], Loss: 0.7438
Epoch [65/100], Step[425/526], Loss: 0.6884
Epoch [65/100], Step[426/526], Loss: 0.7800
Epoch [65/100], Step[427/526], Loss: 0.7047
Epoch [65/100], Step[428/526], Loss: 0.7127
Epoch [65/100], Step[429/526], Loss: 0.7285
Epoch [65/100], Step[430/526], Loss: 0.7853
Epoch [65/100], Step[431/526], Loss: 0.7042
Epoch [65/100], Step[432/526], Loss: 0.7348
Epoch [65/100], Step[433/526], Loss: 0.6850
Epoch [65/100], Step[434/526], Loss: 0.6114
Epoch [65/100], Step[435/526], Loss: 0.7795
Epoch [65/100], Step[436/526], Loss: 0.8051
Epoch [65/100], Step[437/526], Loss: 0.4960
Epoch [65/100], Step[438/526], Loss: 0.3608
Epoch [65/100], Step[439/526], Loss: 0.7229
Epoch [65/100], Step[440/526], Loss: 0.6806
Epoch [65/100], Step[441/526], Loss: 0.6964
Epoch [65/100], Step[442/526], Loss: 0.6409
Epoch [65/100], Step[443/526], Loss: 0.6730
Epoch [65/100], Step[444/526], Loss: 0.7522
Epoch [65/100], Step[445/526], Loss: 0.7042
Epoch [65/100], Step[446/526], Loss: 0.7155
Epoch [65/100], Step[447/526], Loss: 0.7203
Epoch [65/100], Step[448/526], Loss: 0.7177
Epoch [65/100], Step[449/526], Loss: 0.6733
Epoch [65/100], Step[450/526], Loss: 0.5993
Epoch [65/100], Step[451/526], Loss: 0.6643
Epoch [65/100], Step[452/526], Loss: 0.7258
Epoch [65/100], Step[453/526], Loss: 0.7097
Epoch [65/100], Step[454/526], Loss: 0.8339
Epoch [65/100], Step[455/526], Loss: 0.6517
Epoch [65/100], Step[456/526], Loss: 0.6391
Epoch [65/100], Step[457/526], Loss: 0.7060
Epoch [65/100], Step[458/526], Loss: 0.6880
Epoch [65/100], Step[459/526], Loss: 0.6581
Epoch [65/100], Step[460/526], Loss: 0.6438
Epoch [65/100], Step[461/526], Loss: 0.6141
Epoch [65/100], Step[462/526], Loss: 0.6674
Epoch [65/100], Step[463/526], Loss: 0.6538
Epoch [65/100], Step[464/526], Loss: 0.6343
Epoch [65/100], Step[465/526], Loss: 0.6596
Epoch [65/100], Step[466/526], Loss: 0.6738
Epoch [65/100], Step[467/526], Loss: 0.6454
Epoch [65/100], Step[468/526], Loss: 0.6172
Epoch [65/100], Step[469/526], Loss: 0.8096
Epoch [65/100], Step[470/526], Loss: 0.6596
Epoch [65/100], Step[471/526], Loss: 0.6896
Epoch [65/100], Step[472/526], Loss: 0.6784
Epoch [65/100], Step[473/526], Loss: 0.6772
Epoch [65/100], Step[474/526], Loss: 0.6804
Epoch [65/100], Step[475/526], Loss: 0.8392
Epoch [65/100], Step[476/526], Loss: 0.7374
Epoch [65/100], Step[477/526], Loss: 0.7075
Epoch [65/100], Step[478/526], Loss: 0.6843
Epoch [65/100], Step[479/526], Loss: 0.6583
Epoch [65/100], Step[480/526], Loss: 0.7348
Epoch [65/100], Step[481/526], Loss: 0.7304
Epoch [65/100], Step[482/526], Loss: 0.6175
Epoch [65/100], Step[483/526], Loss: 0.5389
Epoch [65/100], Step[484/526], Loss: 0.7024
Epoch [65/100], Step[485/526], Loss: 0.7691
Epoch [65/100], Step[486/526], Loss: 0.7264
Epoch [65/100], Step[487/526], Loss: 0.7487
Epoch [65/100], Step[488/526], Loss: 0.6883
Epoch [65/100], Step[489/526], Loss: 0.6113
Epoch [65/100], Step[490/526], Loss: 0.6122
Epoch [65/100], Step[491/526], Loss: 0.6993
Epoch [65/100], Step[492/526], Loss: 0.6472
Epoch [65/100], Step[493/526], Loss: 0.6380
Epoch [65/100], Step[494/526], Loss: 0.6599
Epoch [65/100], Step[495/526], Loss: 0.6818
Epoch [65/100], Step[496/526], Loss: 0.6665
Epoch [65/100], Step[497/526], Loss: 0.6353
Epoch [65/100], Step[498/526], Loss: 0.6689
Epoch [65/100], Step[499/526], Loss: 0.6687
Epoch [65/100], Step[500/526], Loss: 0.6957
Epoch [65/100], Step[501/526], Loss: 0.6551
Epoch [65/100], Step[502/526], Loss: 0.6975
Epoch [65/100], Step[503/526], Loss: 0.7141
Epoch [65/100], Step[504/526], Loss: 0.7043
Epoch [65/100], Step[505/526], Loss: 0.7096
Epoch [65/100], Step[506/526], Loss: 0.6642
Epoch [65/100], Step[507/526], Loss: 0.6714
Epoch [65/100], Step[508/526], Loss: 0.6956
Epoch [65/100], Step[509/526], Loss: 0.6431
Epoch [65/100], Step[510/526], Loss: 0.7013
Epoch [65/100], Step[511/526], Loss: 0.6409
Epoch [65/100], Step[512/526], Loss: 0.6727
Epoch [65/100], Step[513/526], Loss: 0.6443
Epoch [65/100], Step[514/526], Loss: 0.6536
Epoch [65/100], Step[515/526], Loss: 0.5725
Epoch [65/100], Step[516/526], Loss: 0.7513
Epoch [65/100], Step[517/526], Loss: 0.6935
Epoch [65/100], Step[518/526], Loss: 0.7316
Epoch [65/100], Step[519/526], Loss: 0.7177
Epoch [65/100], Step[520/526], Loss: 0.6781
Epoch [65/100], Step[521/526], Loss: 0.6519
Epoch [65/100], Step[522/526], Loss: 0.6004
Epoch [65/100], Step[523/526], Loss: 0.6466
Epoch [65/100], Step[524/526], Loss: 0.6253
Epoch [65/100], Step[525/526], Loss: 0.7510
Epoch [65/100], Step[526/526], Loss: 0.7236
Epoch [66/100], Step[1/526], Loss: 0.6510
Epoch [66/100], Step[2/526], Loss: 0.6388
Epoch [66/100], Step[3/526], Loss: 0.6729
Epoch [66/100], Step[4/526], Loss: 0.6279
Epoch [66/100], Step[5/526], Loss: 0.7410
Epoch [66/100], Step[6/526], Loss: 0.7615
Epoch [66/100], Step[7/526], Loss: 0.6935
Epoch [66/100], Step[8/526], Loss: 0.6790
Epoch [66/100], Step[9/526], Loss: 0.7004
Epoch [66/100], Step[10/526], Loss: 0.6508
Epoch [66/100], Step[11/526], Loss: 0.7119
Epoch [66/100], Step[12/526], Loss: 0.7516
Epoch [66/100], Step[13/526], Loss: 0.5989
Epoch [66/100], Step[14/526], Loss: 0.6401
Epoch [66/100], Step[15/526], Loss: 0.6872
Epoch [66/100], Step[16/526], Loss: 0.6998
Epoch [66/100], Step[17/526], Loss: 0.7107
Epoch [66/100], Step[18/526], Loss: 0.6661
Epoch [66/100], Step[19/526], Loss: 0.6958
Epoch [66/100], Step[20/526], Loss: 0.7497
Epoch [66/100], Step[21/526], Loss: 0.7552
Epoch [66/100], Step[22/526], Loss: 0.7345
Epoch [66/100], Step[23/526], Loss: 0.7333
Epoch [66/100], Step[24/526], Loss: 0.7167
Epoch [66/100], Step[25/526], Loss: 0.6923
Epoch [66/100], Step[26/526], Loss: 0.6058
Epoch [66/100], Step[27/526], Loss: 0.6699
Epoch [66/100], Step[28/526], Loss: 0.6853
Epoch [66/100], Step[29/526], Loss: 0.6445
Epoch [66/100], Step[30/526], Loss: 0.6939
Epoch [66/100], Step[31/526], Loss: 0.7073
Epoch [66/100], Step[32/526], Loss: 0.6625
Epoch [66/100], Step[33/526], Loss: 0.7173
Epoch [66/100], Step[34/526], Loss: 0.6953
Epoch [66/100], Step[35/526], Loss: 0.7085
Epoch [66/100], Step[36/526], Loss: 0.7009
Epoch [66/100], Step[37/526], Loss: 0.6883
Epoch [66/100], Step[38/526], Loss: 0.7082
Epoch [66/100], Step[39/526], Loss: 0.6906
Epoch [66/100], Step[40/526], Loss: 0.7018
Epoch [66/100], Step[41/526], Loss: 0.6803
Epoch [66/100], Step[42/526], Loss: 0.7174
Epoch [66/100], Step[43/526], Loss: 0.7256
Epoch [66/100], Step[44/526], Loss: 0.6793
Epoch [66/100], Step[45/526], Loss: 0.6661
Epoch [66/100], Step[46/526], Loss: 0.6846
Epoch [66/100], Step[47/526], Loss: 0.7358
Epoch [66/100], Step[48/526], Loss: 0.7248
Epoch [66/100], Step[49/526], Loss: 0.7030
Epoch [66/100], Step[50/526], Loss: 0.7005
Epoch [66/100], Step[51/526], Loss: 0.7009
Epoch [66/100], Step[52/526], Loss: 0.6601
Epoch [66/100], Step[53/526], Loss: 0.7011
Epoch [66/100], Step[54/526], Loss: 0.7080
Epoch [66/100], Step[55/526], Loss: 0.7096
Epoch [66/100], Step[56/526], Loss: 0.6882
Epoch [66/100], Step[57/526], Loss: 0.6709
Epoch [66/100], Step[58/526], Loss: 0.6739
Epoch [66/100], Step[59/526], Loss: 0.6466
Epoch [66/100], Step[60/526], Loss: 0.6687
Epoch [66/100], Step[61/526], Loss: 0.6570
Epoch [66/100], Step[62/526], Loss: 0.6874
Epoch [66/100], Step[63/526], Loss: 0.6831
Epoch [66/100], Step[64/526], Loss: 0.6836
Epoch [66/100], Step[65/526], Loss: 0.7184
Epoch [66/100], Step[66/526], Loss: 0.6869
Epoch [66/100], Step[67/526], Loss: 0.6400
Epoch [66/100], Step[68/526], Loss: 0.6396
Epoch [66/100], Step[69/526], Loss: 0.6960
Epoch [66/100], Step[70/526], Loss: 0.6972
Epoch [66/100], Step[71/526], Loss: 0.6784
Epoch [66/100], Step[72/526], Loss: 0.6757
Epoch [66/100], Step[73/526], Loss: 0.7192
Epoch [66/100], Step[74/526], Loss: 0.6465
Epoch [66/100], Step[75/526], Loss: 0.6924
Epoch [66/100], Step[76/526], Loss: 0.6607
Epoch [66/100], Step[77/526], Loss: 0.6963
Epoch [66/100], Step[78/526], Loss: 0.7141
Epoch [66/100], Step[79/526], Loss: 0.6797
Epoch [66/100], Step[80/526], Loss: 0.6790
Epoch [66/100], Step[81/526], Loss: 0.6859
Epoch [66/100], Step[82/526], Loss: 0.7156
Epoch [66/100], Step[83/526], Loss: 0.6873
Epoch [66/100], Step[84/526], Loss: 0.6755
Epoch [66/100], Step[85/526], Loss: 0.6471
Epoch [66/100], Step[86/526], Loss: 0.6995
Epoch [66/100], Step[87/526], Loss: 0.6778
Epoch [66/100], Step[88/526], Loss: 0.7101
Epoch [66/100], Step[89/526], Loss: 0.7202
Epoch [66/100], Step[90/526], Loss: 0.7115
Epoch [66/100], Step[91/526], Loss: 0.6706
Epoch [66/100], Step[92/526], Loss: 0.6598
Epoch [66/100], Step[93/526], Loss: 0.6907
Epoch [66/100], Step[94/526], Loss: 0.8103
Epoch [66/100], Step[95/526], Loss: 0.7242
Epoch [66/100], Step[96/526], Loss: 0.6261
Epoch [66/100], Step[97/526], Loss: 0.6116
Epoch [66/100], Step[98/526], Loss: 0.6775
Epoch [66/100], Step[99/526], Loss: 0.6909
Epoch [66/100], Step[100/526], Loss: 0.6584
Epoch [66/100], Step[101/526], Loss: 0.6495
Epoch [66/100], Step[102/526], Loss: 0.6411
Epoch [66/100], Step[103/526], Loss: 0.7216
Epoch [66/100], Step[104/526], Loss: 0.6677
Epoch [66/100], Step[105/526], Loss: 0.6529
Epoch [66/100], Step[106/526], Loss: 0.6837
Epoch [66/100], Step[107/526], Loss: 0.6249
Epoch [66/100], Step[108/526], Loss: 0.5705
Epoch [66/100], Step[109/526], Loss: 0.6772
Epoch [66/100], Step[110/526], Loss: 0.6755
Epoch [66/100], Step[111/526], Loss: 0.5956
Epoch [66/100], Step[112/526], Loss: 0.7236
Epoch [66/100], Step[113/526], Loss: 0.6107
Epoch [66/100], Step[114/526], Loss: 0.6660
Epoch [66/100], Step[115/526], Loss: 0.5954
Epoch [66/100], Step[116/526], Loss: 0.6266
Epoch [66/100], Step[117/526], Loss: 0.6616
Epoch [66/100], Step[118/526], Loss: 0.7528
Epoch [66/100], Step[119/526], Loss: 0.6755
Epoch [66/100], Step[120/526], Loss: 0.6703
Epoch [66/100], Step[121/526], Loss: 0.6757
Epoch [66/100], Step[122/526], Loss: 0.6187
Epoch [66/100], Step[123/526], Loss: 0.6470
Epoch [66/100], Step[124/526], Loss: 0.6744
Epoch [66/100], Step[125/526], Loss: 0.6439
Epoch [66/100], Step[126/526], Loss: 0.7198
Epoch [66/100], Step[127/526], Loss: 0.6794
Epoch [66/100], Step[128/526], Loss: 0.6481
Epoch [66/100], Step[129/526], Loss: 0.6073
Epoch [66/100], Step[130/526], Loss: 0.6287
Epoch [66/100], Step[131/526], Loss: 0.6516
Epoch [66/100], Step[132/526], Loss: 0.7198
Epoch [66/100], Step[133/526], Loss: 0.6804
Epoch [66/100], Step[134/526], Loss: 0.6318
Epoch [66/100], Step[135/526], Loss: 0.6419
Epoch [66/100], Step[136/526], Loss: 0.5632
Epoch [66/100], Step[137/526], Loss: 0.6401
Epoch [66/100], Step[138/526], Loss: 0.6401
Epoch [66/100], Step[139/526], Loss: 0.6892
Epoch [66/100], Step[140/526], Loss: 0.5982
Epoch [66/100], Step[141/526], Loss: 0.6720
Epoch [66/100], Step[142/526], Loss: 0.6668
Epoch [66/100], Step[143/526], Loss: 0.6834
Epoch [66/100], Step[144/526], Loss: 0.7805
Epoch [66/100], Step[145/526], Loss: 0.5273
Epoch [66/100], Step[146/526], Loss: 0.5094
Epoch [66/100], Step[147/526], Loss: 0.4697
Epoch [66/100], Step[148/526], Loss: 0.5983
Epoch [66/100], Step[149/526], Loss: 0.4662
Epoch [66/100], Step[150/526], Loss: 0.5631
Epoch [66/100], Step[151/526], Loss: 0.5488
Epoch [66/100], Step[152/526], Loss: 0.6206
Epoch [66/100], Step[153/526], Loss: 0.6316
Epoch [66/100], Step[154/526], Loss: 0.6898
Epoch [66/100], Step[155/526], Loss: 0.6778
Epoch [66/100], Step[156/526], Loss: 0.5473
Epoch [66/100], Step[157/526], Loss: 0.2752
Epoch [66/100], Step[158/526], Loss: 0.6088
Epoch [66/100], Step[159/526], Loss: 0.6590
Epoch [66/100], Step[160/526], Loss: 0.5483
Epoch [66/100], Step[161/526], Loss: 0.8515
Epoch [66/100], Step[162/526], Loss: 0.7112
Epoch [66/100], Step[163/526], Loss: 0.7006
Epoch [66/100], Step[164/526], Loss: 0.6316
Epoch [66/100], Step[165/526], Loss: 0.7010
Epoch [66/100], Step[166/526], Loss: 0.5150
Epoch [66/100], Step[167/526], Loss: 0.5680
Epoch [66/100], Step[168/526], Loss: 0.7027
Epoch [66/100], Step[169/526], Loss: 0.7440
Epoch [66/100], Step[170/526], Loss: 0.7133
Epoch [66/100], Step[171/526], Loss: 0.7348
Epoch [66/100], Step[172/526], Loss: 0.7073
Epoch [66/100], Step[173/526], Loss: 0.8280
Epoch [66/100], Step[174/526], Loss: 0.6144
Epoch [66/100], Step[175/526], Loss: 0.6494
Epoch [66/100], Step[176/526], Loss: 0.6717
Epoch [66/100], Step[177/526], Loss: 0.6630
Epoch [66/100], Step[178/526], Loss: 0.7011
Epoch [66/100], Step[179/526], Loss: 0.6275
Epoch [66/100], Step[180/526], Loss: 0.6320
Epoch [66/100], Step[181/526], Loss: 0.6456
Epoch [66/100], Step[182/526], Loss: 0.6833
Epoch [66/100], Step[183/526], Loss: 0.5423
Epoch [66/100], Step[184/526], Loss: 0.5811
Epoch [66/100], Step[185/526], Loss: 0.5808
Epoch [66/100], Step[186/526], Loss: 0.6353
Epoch [66/100], Step[187/526], Loss: 0.7586
Epoch [66/100], Step[188/526], Loss: 0.7367
Epoch [66/100], Step[189/526], Loss: 0.6734
Epoch [66/100], Step[190/526], Loss: 0.6550
Epoch [66/100], Step[191/526], Loss: 0.7114
Epoch [66/100], Step[192/526], Loss: 0.8311
Epoch [66/100], Step[193/526], Loss: 0.6426
Epoch [66/100], Step[194/526], Loss: 0.6298
Epoch [66/100], Step[195/526], Loss: 0.6289
Epoch [66/100], Step[196/526], Loss: 0.7115
Epoch [66/100], Step[197/526], Loss: 0.6451
Epoch [66/100], Step[198/526], Loss: 0.6141
Epoch [66/100], Step[199/526], Loss: 0.7482
Epoch [66/100], Step[200/526], Loss: 0.6641
Epoch [66/100], Step[201/526], Loss: 0.6913
Epoch [66/100], Step[202/526], Loss: 0.7945
Epoch [66/100], Step[203/526], Loss: 0.6638
Epoch [66/100], Step[204/526], Loss: 0.7871
Epoch [66/100], Step[205/526], Loss: 0.7098
Epoch [66/100], Step[206/526], Loss: 0.6958
Epoch [66/100], Step[207/526], Loss: 0.7263
Epoch [66/100], Step[208/526], Loss: 0.6938
Epoch [66/100], Step[209/526], Loss: 0.6988
Epoch [66/100], Step[210/526], Loss: 0.7856
Epoch [66/100], Step[211/526], Loss: 0.6277
Epoch [66/100], Step[212/526], Loss: 0.6834
Epoch [66/100], Step[213/526], Loss: 0.7253
Epoch [66/100], Step[214/526], Loss: 0.7427
Epoch [66/100], Step[215/526], Loss: 0.6929
Epoch [66/100], Step[216/526], Loss: 0.6800
Epoch [66/100], Step[217/526], Loss: 0.6688
Epoch [66/100], Step[218/526], Loss: 0.7011
Epoch [66/100], Step[219/526], Loss: 0.6884
Epoch [66/100], Step[220/526], Loss: 0.7370
Epoch [66/100], Step[221/526], Loss: 0.6913
Epoch [66/100], Step[222/526], Loss: 0.7598
Epoch [66/100], Step[223/526], Loss: 0.6758
Epoch [66/100], Step[224/526], Loss: 0.6779
Epoch [66/100], Step[225/526], Loss: 0.7304
Epoch [66/100], Step[226/526], Loss: 0.6709
Epoch [66/100], Step[227/526], Loss: 0.6595
Epoch [66/100], Step[228/526], Loss: 0.6507
Epoch [66/100], Step[229/526], Loss: 0.6758
Epoch [66/100], Step[230/526], Loss: 0.6567
Epoch [66/100], Step[231/526], Loss: 0.6648
Epoch [66/100], Step[232/526], Loss: 0.7162
Epoch [66/100], Step[233/526], Loss: 0.6813
Epoch [66/100], Step[234/526], Loss: 0.6663
Epoch [66/100], Step[235/526], Loss: 0.6924
Epoch [66/100], Step[236/526], Loss: 0.6947
Epoch [66/100], Step[237/526], Loss: 0.7184
Epoch [66/100], Step[238/526], Loss: 0.6791
Epoch [66/100], Step[239/526], Loss: 0.6633
Epoch [66/100], Step[240/526], Loss: 0.7277
Epoch [66/100], Step[241/526], Loss: 0.6888
Epoch [66/100], Step[242/526], Loss: 0.7106
Epoch [66/100], Step[243/526], Loss: 0.6097
Epoch [66/100], Step[244/526], Loss: 0.6322
Epoch [66/100], Step[245/526], Loss: 0.6310
Epoch [66/100], Step[246/526], Loss: 0.6577
Epoch [66/100], Step[247/526], Loss: 0.6034
Epoch [66/100], Step[248/526], Loss: 0.6547
Epoch [66/100], Step[249/526], Loss: 0.6581
Epoch [66/100], Step[250/526], Loss: 0.6775
Epoch [66/100], Step[251/526], Loss: 0.7010
Epoch [66/100], Step[252/526], Loss: 0.6924
Epoch [66/100], Step[253/526], Loss: 0.6251
Epoch [66/100], Step[254/526], Loss: 0.6695
Epoch [66/100], Step[255/526], Loss: 0.5799
Epoch [66/100], Step[256/526], Loss: 0.6790
Epoch [66/100], Step[257/526], Loss: 0.6509
Epoch [66/100], Step[258/526], Loss: 0.6235
Epoch [66/100], Step[259/526], Loss: 0.6882
Epoch [66/100], Step[260/526], Loss: 0.7732
Epoch [66/100], Step[261/526], Loss: 0.7791
Epoch [66/100], Step[262/526], Loss: 0.6767
Epoch [66/100], Step[263/526], Loss: 0.6572
Epoch [66/100], Step[264/526], Loss: 0.6213
Epoch [66/100], Step[265/526], Loss: 0.6167
Epoch [66/100], Step[266/526], Loss: 0.6255
Epoch [66/100], Step[267/526], Loss: 0.4951
Epoch [66/100], Step[268/526], Loss: 0.5427
Epoch [66/100], Step[269/526], Loss: 0.4399
Epoch [66/100], Step[270/526], Loss: 0.3700
Epoch [66/100], Step[271/526], Loss: 0.5062
Epoch [66/100], Step[272/526], Loss: 0.5174
Epoch [66/100], Step[273/526], Loss: 0.6417
Epoch [66/100], Step[274/526], Loss: 0.4216
Epoch [66/100], Step[275/526], Loss: 0.3872
Epoch [66/100], Step[276/526], Loss: 0.4736
Epoch [66/100], Step[277/526], Loss: 0.4079
Epoch [66/100], Step[278/526], Loss: 0.4466
Epoch [66/100], Step[279/526], Loss: 0.3977
Epoch [66/100], Step[280/526], Loss: 0.4370
Epoch [66/100], Step[281/526], Loss: 0.6292
Epoch [66/100], Step[282/526], Loss: 0.3515
Epoch [66/100], Step[283/526], Loss: 0.3708
Epoch [66/100], Step[284/526], Loss: 0.4056
Epoch [66/100], Step[285/526], Loss: 0.2711
Epoch [66/100], Step[286/526], Loss: 0.7030
Epoch [66/100], Step[287/526], Loss: 0.4806
Epoch [66/100], Step[288/526], Loss: 0.4247
Epoch [66/100], Step[289/526], Loss: 0.6165
Epoch [66/100], Step[290/526], Loss: 0.4288
Epoch [66/100], Step[291/526], Loss: 0.4890
Epoch [66/100], Step[292/526], Loss: 0.2709
Epoch [66/100], Step[293/526], Loss: 0.3037
Epoch [66/100], Step[294/526], Loss: 0.3195
Epoch [66/100], Step[295/526], Loss: 0.4147
Epoch [66/100], Step[296/526], Loss: 0.6129
Epoch [66/100], Step[297/526], Loss: 0.3125
Epoch [66/100], Step[298/526], Loss: 0.2736
Epoch [66/100], Step[299/526], Loss: 0.2370
Epoch [66/100], Step[300/526], Loss: 0.2779
Epoch [66/100], Step[301/526], Loss: 0.6267
Epoch [66/100], Step[302/526], Loss: 0.3332
Epoch [66/100], Step[303/526], Loss: 0.4760
Epoch [66/100], Step[304/526], Loss: 0.2453
Epoch [66/100], Step[305/526], Loss: 0.2562
Epoch [66/100], Step[306/526], Loss: 0.5868
Epoch [66/100], Step[307/526], Loss: 0.9010
Epoch [66/100], Step[308/526], Loss: 1.3338
Epoch [66/100], Step[309/526], Loss: 0.8938
Epoch [66/100], Step[310/526], Loss: 0.9645
Epoch [66/100], Step[311/526], Loss: 0.8372
Epoch [66/100], Step[312/526], Loss: 0.4883
Epoch [66/100], Step[313/526], Loss: 0.4727
Epoch [66/100], Step[314/526], Loss: 0.6339
Epoch [66/100], Step[315/526], Loss: 0.7116
Epoch [66/100], Step[316/526], Loss: 0.4900
Epoch [66/100], Step[317/526], Loss: 0.3254
Epoch [66/100], Step[318/526], Loss: 0.7667
Epoch [66/100], Step[319/526], Loss: 0.3624
Epoch [66/100], Step[320/526], Loss: 0.6345
Epoch [66/100], Step[321/526], Loss: 0.7113
Epoch [66/100], Step[322/526], Loss: 0.2742
Epoch [66/100], Step[323/526], Loss: 0.6139
Epoch [66/100], Step[324/526], Loss: 0.6458
Epoch [66/100], Step[325/526], Loss: 0.5859
Epoch [66/100], Step[326/526], Loss: 0.7455
Epoch [66/100], Step[327/526], Loss: 0.7537
Epoch [66/100], Step[328/526], Loss: 0.9330
Epoch [66/100], Step[329/526], Loss: 1.2680
Epoch [66/100], Step[330/526], Loss: 1.0395
Epoch [66/100], Step[331/526], Loss: 0.7702
Epoch [66/100], Step[332/526], Loss: 0.8230
Epoch [66/100], Step[333/526], Loss: 0.7553
Epoch [66/100], Step[334/526], Loss: 0.7531
Epoch [66/100], Step[335/526], Loss: 0.7816
Epoch [66/100], Step[336/526], Loss: 0.6944
Epoch [66/100], Step[337/526], Loss: 0.5909
Epoch [66/100], Step[338/526], Loss: 0.7035
Epoch [66/100], Step[339/526], Loss: 0.6402
Epoch [66/100], Step[340/526], Loss: 0.7197
Epoch [66/100], Step[341/526], Loss: 0.7588
Epoch [66/100], Step[342/526], Loss: 0.7640
Epoch [66/100], Step[343/526], Loss: 0.5361
Epoch [66/100], Step[344/526], Loss: 0.7214
Epoch [66/100], Step[345/526], Loss: 0.6600
Epoch [66/100], Step[346/526], Loss: 0.6710
Epoch [66/100], Step[347/526], Loss: 0.7149
Epoch [66/100], Step[348/526], Loss: 0.6222
Epoch [66/100], Step[349/526], Loss: 0.5731
Epoch [66/100], Step[350/526], Loss: 0.6676
Epoch [66/100], Step[351/526], Loss: 0.7066
Epoch [66/100], Step[352/526], Loss: 0.6130
Epoch [66/100], Step[353/526], Loss: 0.6794
Epoch [66/100], Step[354/526], Loss: 0.6662
Epoch [66/100], Step[355/526], Loss: 0.6664
Epoch [66/100], Step[356/526], Loss: 0.6967
Epoch [66/100], Step[357/526], Loss: 0.6615
Epoch [66/100], Step[358/526], Loss: 0.6939
Epoch [66/100], Step[359/526], Loss: 0.6421
Epoch [66/100], Step[360/526], Loss: 0.6870
Epoch [66/100], Step[361/526], Loss: 0.7275
Epoch [66/100], Step[362/526], Loss: 0.7060
Epoch [66/100], Step[363/526], Loss: 0.6936
Epoch [66/100], Step[364/526], Loss: 0.7242
Epoch [66/100], Step[365/526], Loss: 0.7186
Epoch [66/100], Step[366/526], Loss: 0.6823
Epoch [66/100], Step[367/526], Loss: 0.6900
Epoch [66/100], Step[368/526], Loss: 0.6493
Epoch [66/100], Step[369/526], Loss: 0.6570
Epoch [66/100], Step[370/526], Loss: 0.5300
Epoch [66/100], Step[371/526], Loss: 0.7387
Epoch [66/100], Step[372/526], Loss: 0.6354
Epoch [66/100], Step[373/526], Loss: 0.6795
Epoch [66/100], Step[374/526], Loss: 0.7086
Epoch [66/100], Step[375/526], Loss: 0.6482
Epoch [66/100], Step[376/526], Loss: 0.6491
Epoch [66/100], Step[377/526], Loss: 0.6958
Epoch [66/100], Step[378/526], Loss: 0.6842
Epoch [66/100], Step[379/526], Loss: 0.7576
Epoch [66/100], Step[380/526], Loss: 0.6064
Epoch [66/100], Step[381/526], Loss: 0.5909
Epoch [66/100], Step[382/526], Loss: 0.6750
Epoch [66/100], Step[383/526], Loss: 0.7106
Epoch [66/100], Step[384/526], Loss: 0.6330
Epoch [66/100], Step[385/526], Loss: 0.6185
Epoch [66/100], Step[386/526], Loss: 0.6759
Epoch [66/100], Step[387/526], Loss: 0.6549
Epoch [66/100], Step[388/526], Loss: 0.5926
Epoch [66/100], Step[389/526], Loss: 0.7247
Epoch [66/100], Step[390/526], Loss: 0.5753
Epoch [66/100], Step[391/526], Loss: 0.6540
Epoch [66/100], Step[392/526], Loss: 0.7026
Epoch [66/100], Step[393/526], Loss: 0.5824
Epoch [66/100], Step[394/526], Loss: 0.5106
Epoch [66/100], Step[395/526], Loss: 0.5925
Epoch [66/100], Step[396/526], Loss: 0.6258
Epoch [66/100], Step[397/526], Loss: 0.4606
Epoch [66/100], Step[398/526], Loss: 0.6013
Epoch [66/100], Step[399/526], Loss: 0.6530
Epoch [66/100], Step[400/526], Loss: 0.4730
Epoch [66/100], Step[401/526], Loss: 0.6055
Epoch [66/100], Step[402/526], Loss: 0.6414
Epoch [66/100], Step[403/526], Loss: 0.7390
Epoch [66/100], Step[404/526], Loss: 0.4805
Epoch [66/100], Step[405/526], Loss: 0.5011
Epoch [66/100], Step[406/526], Loss: 0.6317
Epoch [66/100], Step[407/526], Loss: 0.7565
Epoch [66/100], Step[408/526], Loss: 0.6483
Epoch [66/100], Step[409/526], Loss: 0.4776
Epoch [66/100], Step[410/526], Loss: 0.4927
Epoch [66/100], Step[411/526], Loss: 0.5386
Epoch [66/100], Step[412/526], Loss: 0.5963
Epoch [66/100], Step[413/526], Loss: 0.6053
Epoch [66/100], Step[414/526], Loss: 0.6442
Epoch [66/100], Step[415/526], Loss: 0.6015
Epoch [66/100], Step[416/526], Loss: 0.5489
Epoch [66/100], Step[417/526], Loss: 0.4462
Epoch [66/100], Step[418/526], Loss: 0.7391
Epoch [66/100], Step[419/526], Loss: 0.6936
Epoch [66/100], Step[420/526], Loss: 0.6840
Epoch [66/100], Step[421/526], Loss: 0.6476
Epoch [66/100], Step[422/526], Loss: 0.7633
Epoch [66/100], Step[423/526], Loss: 0.6872
Epoch [66/100], Step[424/526], Loss: 0.7441
Epoch [66/100], Step[425/526], Loss: 0.6941
Epoch [66/100], Step[426/526], Loss: 0.7717
Epoch [66/100], Step[427/526], Loss: 0.7071
Epoch [66/100], Step[428/526], Loss: 0.7159
Epoch [66/100], Step[429/526], Loss: 0.7302
Epoch [66/100], Step[430/526], Loss: 0.7891
Epoch [66/100], Step[431/526], Loss: 0.7029
Epoch [66/100], Step[432/526], Loss: 0.7325
Epoch [66/100], Step[433/526], Loss: 0.6778
Epoch [66/100], Step[434/526], Loss: 0.6108
Epoch [66/100], Step[435/526], Loss: 0.7812
Epoch [66/100], Step[436/526], Loss: 0.8088
Epoch [66/100], Step[437/526], Loss: 0.4839
Epoch [66/100], Step[438/526], Loss: 0.3569
Epoch [66/100], Step[439/526], Loss: 0.7233
Epoch [66/100], Step[440/526], Loss: 0.6801
Epoch [66/100], Step[441/526], Loss: 0.6996
Epoch [66/100], Step[442/526], Loss: 0.6411
Epoch [66/100], Step[443/526], Loss: 0.6718
Epoch [66/100], Step[444/526], Loss: 0.7518
Epoch [66/100], Step[445/526], Loss: 0.7041
Epoch [66/100], Step[446/526], Loss: 0.7155
Epoch [66/100], Step[447/526], Loss: 0.7202
Epoch [66/100], Step[448/526], Loss: 0.7173
Epoch [66/100], Step[449/526], Loss: 0.6731
Epoch [66/100], Step[450/526], Loss: 0.6022
Epoch [66/100], Step[451/526], Loss: 0.6636
Epoch [66/100], Step[452/526], Loss: 0.7253
Epoch [66/100], Step[453/526], Loss: 0.7115
Epoch [66/100], Step[454/526], Loss: 0.8360
Epoch [66/100], Step[455/526], Loss: 0.6602
Epoch [66/100], Step[456/526], Loss: 0.6286
Epoch [66/100], Step[457/526], Loss: 0.6987
Epoch [66/100], Step[458/526], Loss: 0.6910
Epoch [66/100], Step[459/526], Loss: 0.6609
Epoch [66/100], Step[460/526], Loss: 0.6450
Epoch [66/100], Step[461/526], Loss: 0.6140
Epoch [66/100], Step[462/526], Loss: 0.6700
Epoch [66/100], Step[463/526], Loss: 0.6541
Epoch [66/100], Step[464/526], Loss: 0.6337
Epoch [66/100], Step[465/526], Loss: 0.6615
Epoch [66/100], Step[466/526], Loss: 0.6718
Epoch [66/100], Step[467/526], Loss: 0.6486
Epoch [66/100], Step[468/526], Loss: 0.6161
Epoch [66/100], Step[469/526], Loss: 0.8079
Epoch [66/100], Step[470/526], Loss: 0.6601
Epoch [66/100], Step[471/526], Loss: 0.6929
Epoch [66/100], Step[472/526], Loss: 0.6785
Epoch [66/100], Step[473/526], Loss: 0.6791
Epoch [66/100], Step[474/526], Loss: 0.6804
Epoch [66/100], Step[475/526], Loss: 0.8358
Epoch [66/100], Step[476/526], Loss: 0.7389
Epoch [66/100], Step[477/526], Loss: 0.7088
Epoch [66/100], Step[478/526], Loss: 0.6864
Epoch [66/100], Step[479/526], Loss: 0.6588
Epoch [66/100], Step[480/526], Loss: 0.7357
Epoch [66/100], Step[481/526], Loss: 0.7294
Epoch [66/100], Step[482/526], Loss: 0.6161
Epoch [66/100], Step[483/526], Loss: 0.5374
Epoch [66/100], Step[484/526], Loss: 0.7072
Epoch [66/100], Step[485/526], Loss: 0.7693
Epoch [66/100], Step[486/526], Loss: 0.7253
Epoch [66/100], Step[487/526], Loss: 0.7479
Epoch [66/100], Step[488/526], Loss: 0.6860
Epoch [66/100], Step[489/526], Loss: 0.6109
Epoch [66/100], Step[490/526], Loss: 0.6114
Epoch [66/100], Step[491/526], Loss: 0.6988
Epoch [66/100], Step[492/526], Loss: 0.6493
Epoch [66/100], Step[493/526], Loss: 0.6387
Epoch [66/100], Step[494/526], Loss: 0.6601
Epoch [66/100], Step[495/526], Loss: 0.6806
Epoch [66/100], Step[496/526], Loss: 0.6661
Epoch [66/100], Step[497/526], Loss: 0.6343
Epoch [66/100], Step[498/526], Loss: 0.6681
Epoch [66/100], Step[499/526], Loss: 0.6692
Epoch [66/100], Step[500/526], Loss: 0.7024
Epoch [66/100], Step[501/526], Loss: 0.6532
Epoch [66/100], Step[502/526], Loss: 0.6983
Epoch [66/100], Step[503/526], Loss: 0.7130
Epoch [66/100], Step[504/526], Loss: 0.7057
Epoch [66/100], Step[505/526], Loss: 0.7084
Epoch [66/100], Step[506/526], Loss: 0.6605
Epoch [66/100], Step[507/526], Loss: 0.6721
Epoch [66/100], Step[508/526], Loss: 0.6947
Epoch [66/100], Step[509/526], Loss: 0.6418
Epoch [66/100], Step[510/526], Loss: 0.7011
Epoch [66/100], Step[511/526], Loss: 0.6407
Epoch [66/100], Step[512/526], Loss: 0.6726
Epoch [66/100], Step[513/526], Loss: 0.6458
Epoch [66/100], Step[514/526], Loss: 0.6529
Epoch [66/100], Step[515/526], Loss: 0.5731
Epoch [66/100], Step[516/526], Loss: 0.7495
Epoch [66/100], Step[517/526], Loss: 0.6933
Epoch [66/100], Step[518/526], Loss: 0.7301
Epoch [66/100], Step[519/526], Loss: 0.7180
Epoch [66/100], Step[520/526], Loss: 0.6790
Epoch [66/100], Step[521/526], Loss: 0.6574
Epoch [66/100], Step[522/526], Loss: 0.6000
Epoch [66/100], Step[523/526], Loss: 0.6471
Epoch [66/100], Step[524/526], Loss: 0.6260
Epoch [66/100], Step[525/526], Loss: 0.7516
Epoch [66/100], Step[526/526], Loss: 0.7191
Epoch [67/100], Step[1/526], Loss: 0.6527
Epoch [67/100], Step[2/526], Loss: 0.6389
Epoch [67/100], Step[3/526], Loss: 0.6732
Epoch [67/100], Step[4/526], Loss: 0.6290
Epoch [67/100], Step[5/526], Loss: 0.7422
Epoch [67/100], Step[6/526], Loss: 0.7604
Epoch [67/100], Step[7/526], Loss: 0.6952
Epoch [67/100], Step[8/526], Loss: 0.6790
Epoch [67/100], Step[9/526], Loss: 0.7006
Epoch [67/100], Step[10/526], Loss: 0.6504
Epoch [67/100], Step[11/526], Loss: 0.7117
Epoch [67/100], Step[12/526], Loss: 0.7523
Epoch [67/100], Step[13/526], Loss: 0.5989
Epoch [67/100], Step[14/526], Loss: 0.6417
Epoch [67/100], Step[15/526], Loss: 0.6872
Epoch [67/100], Step[16/526], Loss: 0.7004
Epoch [67/100], Step[17/526], Loss: 0.7109
Epoch [67/100], Step[18/526], Loss: 0.6661
Epoch [67/100], Step[19/526], Loss: 0.6974
Epoch [67/100], Step[20/526], Loss: 0.7542
Epoch [67/100], Step[21/526], Loss: 0.7565
Epoch [67/100], Step[22/526], Loss: 0.7352
Epoch [67/100], Step[23/526], Loss: 0.7322
Epoch [67/100], Step[24/526], Loss: 0.7171
Epoch [67/100], Step[25/526], Loss: 0.6915
Epoch [67/100], Step[26/526], Loss: 0.6085
Epoch [67/100], Step[27/526], Loss: 0.6702
Epoch [67/100], Step[28/526], Loss: 0.6917
Epoch [67/100], Step[29/526], Loss: 0.6456
Epoch [67/100], Step[30/526], Loss: 0.6923
Epoch [67/100], Step[31/526], Loss: 0.7090
Epoch [67/100], Step[32/526], Loss: 0.6633
Epoch [67/100], Step[33/526], Loss: 0.7191
Epoch [67/100], Step[34/526], Loss: 0.6978
Epoch [67/100], Step[35/526], Loss: 0.7122
Epoch [67/100], Step[36/526], Loss: 0.7039
Epoch [67/100], Step[37/526], Loss: 0.6890
Epoch [67/100], Step[38/526], Loss: 0.7098
Epoch [67/100], Step[39/526], Loss: 0.6904
Epoch [67/100], Step[40/526], Loss: 0.7032
Epoch [67/100], Step[41/526], Loss: 0.6713
Epoch [67/100], Step[42/526], Loss: 0.7235
Epoch [67/100], Step[43/526], Loss: 0.7199
Epoch [67/100], Step[44/526], Loss: 0.6866
Epoch [67/100], Step[45/526], Loss: 0.6805
Epoch [67/100], Step[46/526], Loss: 0.6924
Epoch [67/100], Step[47/526], Loss: 0.7133
Epoch [67/100], Step[48/526], Loss: 0.7229
Epoch [67/100], Step[49/526], Loss: 0.6992
Epoch [67/100], Step[50/526], Loss: 0.7051
Epoch [67/100], Step[51/526], Loss: 0.6978
Epoch [67/100], Step[52/526], Loss: 0.6718
Epoch [67/100], Step[53/526], Loss: 0.7108
Epoch [67/100], Step[54/526], Loss: 0.7035
Epoch [67/100], Step[55/526], Loss: 0.7070
Epoch [67/100], Step[56/526], Loss: 0.6893
Epoch [67/100], Step[57/526], Loss: 0.6756
Epoch [67/100], Step[58/526], Loss: 0.6735
Epoch [67/100], Step[59/526], Loss: 0.6505
Epoch [67/100], Step[60/526], Loss: 0.6694
Epoch [67/100], Step[61/526], Loss: 0.6556
Epoch [67/100], Step[62/526], Loss: 0.6893
Epoch [67/100], Step[63/526], Loss: 0.6835
Epoch [67/100], Step[64/526], Loss: 0.6788
Epoch [67/100], Step[65/526], Loss: 0.7196
Epoch [67/100], Step[66/526], Loss: 0.6860
Epoch [67/100], Step[67/526], Loss: 0.6410
Epoch [67/100], Step[68/526], Loss: 0.6398
Epoch [67/100], Step[69/526], Loss: 0.6979
Epoch [67/100], Step[70/526], Loss: 0.7004
Epoch [67/100], Step[71/526], Loss: 0.6770
Epoch [67/100], Step[72/526], Loss: 0.6738
Epoch [67/100], Step[73/526], Loss: 0.7199
Epoch [67/100], Step[74/526], Loss: 0.6453
Epoch [67/100], Step[75/526], Loss: 0.6934
Epoch [67/100], Step[76/526], Loss: 0.6571
Epoch [67/100], Step[77/526], Loss: 0.6951
Epoch [67/100], Step[78/526], Loss: 0.7162
Epoch [67/100], Step[79/526], Loss: 0.6731
Epoch [67/100], Step[80/526], Loss: 0.6765
Epoch [67/100], Step[81/526], Loss: 0.6813
Epoch [67/100], Step[82/526], Loss: 0.7045
Epoch [67/100], Step[83/526], Loss: 0.6900
Epoch [67/100], Step[84/526], Loss: 0.6699
Epoch [67/100], Step[85/526], Loss: 0.6475
Epoch [67/100], Step[86/526], Loss: 0.7067
Epoch [67/100], Step[87/526], Loss: 0.6750
Epoch [67/100], Step[88/526], Loss: 0.7114
Epoch [67/100], Step[89/526], Loss: 0.7233
Epoch [67/100], Step[90/526], Loss: 0.7204
Epoch [67/100], Step[91/526], Loss: 0.6692
Epoch [67/100], Step[92/526], Loss: 0.6657
Epoch [67/100], Step[93/526], Loss: 0.6890
Epoch [67/100], Step[94/526], Loss: 0.8104
Epoch [67/100], Step[95/526], Loss: 0.7179
Epoch [67/100], Step[96/526], Loss: 0.6186
Epoch [67/100], Step[97/526], Loss: 0.6134
Epoch [67/100], Step[98/526], Loss: 0.6760
Epoch [67/100], Step[99/526], Loss: 0.6933
Epoch [67/100], Step[100/526], Loss: 0.6580
Epoch [67/100], Step[101/526], Loss: 0.6488
Epoch [67/100], Step[102/526], Loss: 0.6442
Epoch [67/100], Step[103/526], Loss: 0.7313
Epoch [67/100], Step[104/526], Loss: 0.6726
Epoch [67/100], Step[105/526], Loss: 0.6532
Epoch [67/100], Step[106/526], Loss: 0.6841
Epoch [67/100], Step[107/526], Loss: 0.6226
Epoch [67/100], Step[108/526], Loss: 0.5675
Epoch [67/100], Step[109/526], Loss: 0.6799
Epoch [67/100], Step[110/526], Loss: 0.6707
Epoch [67/100], Step[111/526], Loss: 0.5974
Epoch [67/100], Step[112/526], Loss: 0.7181
Epoch [67/100], Step[113/526], Loss: 0.6118
Epoch [67/100], Step[114/526], Loss: 0.6703
Epoch [67/100], Step[115/526], Loss: 0.5932
Epoch [67/100], Step[116/526], Loss: 0.6227
Epoch [67/100], Step[117/526], Loss: 0.6579
Epoch [67/100], Step[118/526], Loss: 0.7528
Epoch [67/100], Step[119/526], Loss: 0.6728
Epoch [67/100], Step[120/526], Loss: 0.6654
Epoch [67/100], Step[121/526], Loss: 0.6735
Epoch [67/100], Step[122/526], Loss: 0.6182
Epoch [67/100], Step[123/526], Loss: 0.6491
Epoch [67/100], Step[124/526], Loss: 0.6722
Epoch [67/100], Step[125/526], Loss: 0.6451
Epoch [67/100], Step[126/526], Loss: 0.7168
Epoch [67/100], Step[127/526], Loss: 0.6860
Epoch [67/100], Step[128/526], Loss: 0.6529
Epoch [67/100], Step[129/526], Loss: 0.6076
Epoch [67/100], Step[130/526], Loss: 0.6247
Epoch [67/100], Step[131/526], Loss: 0.6451
Epoch [67/100], Step[132/526], Loss: 0.7222
Epoch [67/100], Step[133/526], Loss: 0.6894
Epoch [67/100], Step[134/526], Loss: 0.6308
Epoch [67/100], Step[135/526], Loss: 0.6382
Epoch [67/100], Step[136/526], Loss: 0.5615
Epoch [67/100], Step[137/526], Loss: 0.6388
Epoch [67/100], Step[138/526], Loss: 0.6469
Epoch [67/100], Step[139/526], Loss: 0.6952
Epoch [67/100], Step[140/526], Loss: 0.5924
Epoch [67/100], Step[141/526], Loss: 0.6719
Epoch [67/100], Step[142/526], Loss: 0.6653
Epoch [67/100], Step[143/526], Loss: 0.6834
Epoch [67/100], Step[144/526], Loss: 0.7861
Epoch [67/100], Step[145/526], Loss: 0.5232
Epoch [67/100], Step[146/526], Loss: 0.5046
Epoch [67/100], Step[147/526], Loss: 0.4596
Epoch [67/100], Step[148/526], Loss: 0.5991
Epoch [67/100], Step[149/526], Loss: 0.4630
Epoch [67/100], Step[150/526], Loss: 0.5547
Epoch [67/100], Step[151/526], Loss: 0.5397
Epoch [67/100], Step[152/526], Loss: 0.6202
Epoch [67/100], Step[153/526], Loss: 0.6266
Epoch [67/100], Step[154/526], Loss: 0.6865
Epoch [67/100], Step[155/526], Loss: 0.6794
Epoch [67/100], Step[156/526], Loss: 0.5389
Epoch [67/100], Step[157/526], Loss: 0.2629
Epoch [67/100], Step[158/526], Loss: 0.6008
Epoch [67/100], Step[159/526], Loss: 0.6572
Epoch [67/100], Step[160/526], Loss: 0.5451
Epoch [67/100], Step[161/526], Loss: 0.8873
Epoch [67/100], Step[162/526], Loss: 0.7074
Epoch [67/100], Step[163/526], Loss: 0.7013
Epoch [67/100], Step[164/526], Loss: 0.6251
Epoch [67/100], Step[165/526], Loss: 0.6924
Epoch [67/100], Step[166/526], Loss: 0.5093
Epoch [67/100], Step[167/526], Loss: 0.5646
Epoch [67/100], Step[168/526], Loss: 0.7148
Epoch [67/100], Step[169/526], Loss: 0.7532
Epoch [67/100], Step[170/526], Loss: 0.7178
Epoch [67/100], Step[171/526], Loss: 0.7398
Epoch [67/100], Step[172/526], Loss: 0.7101
Epoch [67/100], Step[173/526], Loss: 0.8346
Epoch [67/100], Step[174/526], Loss: 0.6190
Epoch [67/100], Step[175/526], Loss: 0.6481
Epoch [67/100], Step[176/526], Loss: 0.6641
Epoch [67/100], Step[177/526], Loss: 0.6659
Epoch [67/100], Step[178/526], Loss: 0.6988
Epoch [67/100], Step[179/526], Loss: 0.6288
Epoch [67/100], Step[180/526], Loss: 0.6360
Epoch [67/100], Step[181/526], Loss: 0.6465
Epoch [67/100], Step[182/526], Loss: 0.6846
Epoch [67/100], Step[183/526], Loss: 0.5447
Epoch [67/100], Step[184/526], Loss: 0.5862
Epoch [67/100], Step[185/526], Loss: 0.5833
Epoch [67/100], Step[186/526], Loss: 0.6391
Epoch [67/100], Step[187/526], Loss: 0.7529
Epoch [67/100], Step[188/526], Loss: 0.7246
Epoch [67/100], Step[189/526], Loss: 0.6703
Epoch [67/100], Step[190/526], Loss: 0.6478
Epoch [67/100], Step[191/526], Loss: 0.7013
Epoch [67/100], Step[192/526], Loss: 0.8004
Epoch [67/100], Step[193/526], Loss: 0.6393
Epoch [67/100], Step[194/526], Loss: 0.6210
Epoch [67/100], Step[195/526], Loss: 0.6262
Epoch [67/100], Step[196/526], Loss: 0.7068
Epoch [67/100], Step[197/526], Loss: 0.6446
Epoch [67/100], Step[198/526], Loss: 0.6139
Epoch [67/100], Step[199/526], Loss: 0.7432
Epoch [67/100], Step[200/526], Loss: 0.6649
Epoch [67/100], Step[201/526], Loss: 0.6883
Epoch [67/100], Step[202/526], Loss: 0.7810
Epoch [67/100], Step[203/526], Loss: 0.6636
Epoch [67/100], Step[204/526], Loss: 0.7797
Epoch [67/100], Step[205/526], Loss: 0.7101
Epoch [67/100], Step[206/526], Loss: 0.6976
Epoch [67/100], Step[207/526], Loss: 0.7196
Epoch [67/100], Step[208/526], Loss: 0.6964
Epoch [67/100], Step[209/526], Loss: 0.7013
Epoch [67/100], Step[210/526], Loss: 0.7835
Epoch [67/100], Step[211/526], Loss: 0.6286
Epoch [67/100], Step[212/526], Loss: 0.6876
Epoch [67/100], Step[213/526], Loss: 0.7257
Epoch [67/100], Step[214/526], Loss: 0.7369
Epoch [67/100], Step[215/526], Loss: 0.6940
Epoch [67/100], Step[216/526], Loss: 0.6797
Epoch [67/100], Step[217/526], Loss: 0.6688
Epoch [67/100], Step[218/526], Loss: 0.7008
Epoch [67/100], Step[219/526], Loss: 0.6890
Epoch [67/100], Step[220/526], Loss: 0.7364
Epoch [67/100], Step[221/526], Loss: 0.6901
Epoch [67/100], Step[222/526], Loss: 0.7549
Epoch [67/100], Step[223/526], Loss: 0.6734
Epoch [67/100], Step[224/526], Loss: 0.6778
Epoch [67/100], Step[225/526], Loss: 0.7302
Epoch [67/100], Step[226/526], Loss: 0.6705
Epoch [67/100], Step[227/526], Loss: 0.6598
Epoch [67/100], Step[228/526], Loss: 0.6511
Epoch [67/100], Step[229/526], Loss: 0.6751
Epoch [67/100], Step[230/526], Loss: 0.6578
Epoch [67/100], Step[231/526], Loss: 0.6653
Epoch [67/100], Step[232/526], Loss: 0.7138
Epoch [67/100], Step[233/526], Loss: 0.6805
Epoch [67/100], Step[234/526], Loss: 0.6644
Epoch [67/100], Step[235/526], Loss: 0.6940
Epoch [67/100], Step[236/526], Loss: 0.6944
Epoch [67/100], Step[237/526], Loss: 0.7170
Epoch [67/100], Step[238/526], Loss: 0.6786
Epoch [67/100], Step[239/526], Loss: 0.6636
Epoch [67/100], Step[240/526], Loss: 0.7253
Epoch [67/100], Step[241/526], Loss: 0.6886
Epoch [67/100], Step[242/526], Loss: 0.7085
Epoch [67/100], Step[243/526], Loss: 0.6015
Epoch [67/100], Step[244/526], Loss: 0.6283
Epoch [67/100], Step[245/526], Loss: 0.6285
Epoch [67/100], Step[246/526], Loss: 0.6559
Epoch [67/100], Step[247/526], Loss: 0.6013
Epoch [67/100], Step[248/526], Loss: 0.6558
Epoch [67/100], Step[249/526], Loss: 0.6591
Epoch [67/100], Step[250/526], Loss: 0.6766
Epoch [67/100], Step[251/526], Loss: 0.6972
Epoch [67/100], Step[252/526], Loss: 0.6888
Epoch [67/100], Step[253/526], Loss: 0.6221
Epoch [67/100], Step[254/526], Loss: 0.6683
Epoch [67/100], Step[255/526], Loss: 0.5782
Epoch [67/100], Step[256/526], Loss: 0.6789
Epoch [67/100], Step[257/526], Loss: 0.6505
Epoch [67/100], Step[258/526], Loss: 0.6215
Epoch [67/100], Step[259/526], Loss: 0.6891
Epoch [67/100], Step[260/526], Loss: 0.7739
Epoch [67/100], Step[261/526], Loss: 0.7781
Epoch [67/100], Step[262/526], Loss: 0.6772
Epoch [67/100], Step[263/526], Loss: 0.6552
Epoch [67/100], Step[264/526], Loss: 0.6190
Epoch [67/100], Step[265/526], Loss: 0.6161
Epoch [67/100], Step[266/526], Loss: 0.6272
Epoch [67/100], Step[267/526], Loss: 0.5093
Epoch [67/100], Step[268/526], Loss: 0.5424
Epoch [67/100], Step[269/526], Loss: 0.4375
Epoch [67/100], Step[270/526], Loss: 0.3680
Epoch [67/100], Step[271/526], Loss: 0.5070
Epoch [67/100], Step[272/526], Loss: 0.5127
Epoch [67/100], Step[273/526], Loss: 0.6445
Epoch [67/100], Step[274/526], Loss: 0.4219
Epoch [67/100], Step[275/526], Loss: 0.3873
Epoch [67/100], Step[276/526], Loss: 0.4770
Epoch [67/100], Step[277/526], Loss: 0.4067
Epoch [67/100], Step[278/526], Loss: 0.4474
Epoch [67/100], Step[279/526], Loss: 0.3996
Epoch [67/100], Step[280/526], Loss: 0.4367
Epoch [67/100], Step[281/526], Loss: 0.6275
Epoch [67/100], Step[282/526], Loss: 0.3535
Epoch [67/100], Step[283/526], Loss: 0.3752
Epoch [67/100], Step[284/526], Loss: 0.4077
Epoch [67/100], Step[285/526], Loss: 0.2735
Epoch [67/100], Step[286/526], Loss: 0.7026
Epoch [67/100], Step[287/526], Loss: 0.4819
Epoch [67/100], Step[288/526], Loss: 0.4211
Epoch [67/100], Step[289/526], Loss: 0.6147
Epoch [67/100], Step[290/526], Loss: 0.4333
Epoch [67/100], Step[291/526], Loss: 0.4901
Epoch [67/100], Step[292/526], Loss: 0.2755
Epoch [67/100], Step[293/526], Loss: 0.3043
Epoch [67/100], Step[294/526], Loss: 0.3211
Epoch [67/100], Step[295/526], Loss: 0.4132
Epoch [67/100], Step[296/526], Loss: 0.6088
Epoch [67/100], Step[297/526], Loss: 0.3153
Epoch [67/100], Step[298/526], Loss: 0.2752
Epoch [67/100], Step[299/526], Loss: 0.2366
Epoch [67/100], Step[300/526], Loss: 0.2749
Epoch [67/100], Step[301/526], Loss: 0.6283
Epoch [67/100], Step[302/526], Loss: 0.3390
Epoch [67/100], Step[303/526], Loss: 0.4757
Epoch [67/100], Step[304/526], Loss: 0.2438
Epoch [67/100], Step[305/526], Loss: 0.2557
Epoch [67/100], Step[306/526], Loss: 0.5862
Epoch [67/100], Step[307/526], Loss: 0.9018
Epoch [67/100], Step[308/526], Loss: 1.3514
Epoch [67/100], Step[309/526], Loss: 0.9098
Epoch [67/100], Step[310/526], Loss: 0.9708
Epoch [67/100], Step[311/526], Loss: 0.8391
Epoch [67/100], Step[312/526], Loss: 0.4883
Epoch [67/100], Step[313/526], Loss: 0.4639
Epoch [67/100], Step[314/526], Loss: 0.6235
Epoch [67/100], Step[315/526], Loss: 0.7093
Epoch [67/100], Step[316/526], Loss: 0.4919
Epoch [67/100], Step[317/526], Loss: 0.3278
Epoch [67/100], Step[318/526], Loss: 0.7601
Epoch [67/100], Step[319/526], Loss: 0.3659
Epoch [67/100], Step[320/526], Loss: 0.6319
Epoch [67/100], Step[321/526], Loss: 0.7146
Epoch [67/100], Step[322/526], Loss: 0.2745
Epoch [67/100], Step[323/526], Loss: 0.6136
Epoch [67/100], Step[324/526], Loss: 0.6436
Epoch [67/100], Step[325/526], Loss: 0.5765
Epoch [67/100], Step[326/526], Loss: 0.7482
Epoch [67/100], Step[327/526], Loss: 0.7542
Epoch [67/100], Step[328/526], Loss: 0.9315
Epoch [67/100], Step[329/526], Loss: 1.2679
Epoch [67/100], Step[330/526], Loss: 1.0374
Epoch [67/100], Step[331/526], Loss: 0.7728
Epoch [67/100], Step[332/526], Loss: 0.8208
Epoch [67/100], Step[333/526], Loss: 0.7517
Epoch [67/100], Step[334/526], Loss: 0.7558
Epoch [67/100], Step[335/526], Loss: 0.7815
Epoch [67/100], Step[336/526], Loss: 0.7012
Epoch [67/100], Step[337/526], Loss: 0.5888
Epoch [67/100], Step[338/526], Loss: 0.7069
Epoch [67/100], Step[339/526], Loss: 0.6442
Epoch [67/100], Step[340/526], Loss: 0.7236
Epoch [67/100], Step[341/526], Loss: 0.7599
Epoch [67/100], Step[342/526], Loss: 0.7620
Epoch [67/100], Step[343/526], Loss: 0.5358
Epoch [67/100], Step[344/526], Loss: 0.7200
Epoch [67/100], Step[345/526], Loss: 0.6670
Epoch [67/100], Step[346/526], Loss: 0.6636
Epoch [67/100], Step[347/526], Loss: 0.7147
Epoch [67/100], Step[348/526], Loss: 0.6211
Epoch [67/100], Step[349/526], Loss: 0.5728
Epoch [67/100], Step[350/526], Loss: 0.6662
Epoch [67/100], Step[351/526], Loss: 0.7033
Epoch [67/100], Step[352/526], Loss: 0.6127
Epoch [67/100], Step[353/526], Loss: 0.6777
Epoch [67/100], Step[354/526], Loss: 0.6655
Epoch [67/100], Step[355/526], Loss: 0.6659
Epoch [67/100], Step[356/526], Loss: 0.6960
Epoch [67/100], Step[357/526], Loss: 0.6617
Epoch [67/100], Step[358/526], Loss: 0.6961
Epoch [67/100], Step[359/526], Loss: 0.6405
Epoch [67/100], Step[360/526], Loss: 0.6861
Epoch [67/100], Step[361/526], Loss: 0.7273
Epoch [67/100], Step[362/526], Loss: 0.7047
Epoch [67/100], Step[363/526], Loss: 0.6946
Epoch [67/100], Step[364/526], Loss: 0.7265
Epoch [67/100], Step[365/526], Loss: 0.7209
Epoch [67/100], Step[366/526], Loss: 0.6807
Epoch [67/100], Step[367/526], Loss: 0.6899
Epoch [67/100], Step[368/526], Loss: 0.6498
Epoch [67/100], Step[369/526], Loss: 0.6579
Epoch [67/100], Step[370/526], Loss: 0.5415
Epoch [67/100], Step[371/526], Loss: 0.7373
Epoch [67/100], Step[372/526], Loss: 0.6363
Epoch [67/100], Step[373/526], Loss: 0.6815
Epoch [67/100], Step[374/526], Loss: 0.7100
Epoch [67/100], Step[375/526], Loss: 0.6469
Epoch [67/100], Step[376/526], Loss: 0.6494
Epoch [67/100], Step[377/526], Loss: 0.6976
Epoch [67/100], Step[378/526], Loss: 0.6849
Epoch [67/100], Step[379/526], Loss: 0.7567
Epoch [67/100], Step[380/526], Loss: 0.6067
Epoch [67/100], Step[381/526], Loss: 0.5937
Epoch [67/100], Step[382/526], Loss: 0.6773
Epoch [67/100], Step[383/526], Loss: 0.7052
Epoch [67/100], Step[384/526], Loss: 0.6331
Epoch [67/100], Step[385/526], Loss: 0.6173
Epoch [67/100], Step[386/526], Loss: 0.6761
Epoch [67/100], Step[387/526], Loss: 0.6513
Epoch [67/100], Step[388/526], Loss: 0.5971
Epoch [67/100], Step[389/526], Loss: 0.7238
Epoch [67/100], Step[390/526], Loss: 0.5757
Epoch [67/100], Step[391/526], Loss: 0.6541
Epoch [67/100], Step[392/526], Loss: 0.7043
Epoch [67/100], Step[393/526], Loss: 0.5821
Epoch [67/100], Step[394/526], Loss: 0.5113
Epoch [67/100], Step[395/526], Loss: 0.5942
Epoch [67/100], Step[396/526], Loss: 0.6254
Epoch [67/100], Step[397/526], Loss: 0.4638
Epoch [67/100], Step[398/526], Loss: 0.6039
Epoch [67/100], Step[399/526], Loss: 0.6543
Epoch [67/100], Step[400/526], Loss: 0.4740
Epoch [67/100], Step[401/526], Loss: 0.6036
Epoch [67/100], Step[402/526], Loss: 0.6444
Epoch [67/100], Step[403/526], Loss: 0.7598
Epoch [67/100], Step[404/526], Loss: 0.4795
Epoch [67/100], Step[405/526], Loss: 0.5021
Epoch [67/100], Step[406/526], Loss: 0.6300
Epoch [67/100], Step[407/526], Loss: 0.7569
Epoch [67/100], Step[408/526], Loss: 0.6610
Epoch [67/100], Step[409/526], Loss: 0.4819
Epoch [67/100], Step[410/526], Loss: 0.4939
Epoch [67/100], Step[411/526], Loss: 0.5388
Epoch [67/100], Step[412/526], Loss: 0.5973
Epoch [67/100], Step[413/526], Loss: 0.6061
Epoch [67/100], Step[414/526], Loss: 0.6435
Epoch [67/100], Step[415/526], Loss: 0.6008
Epoch [67/100], Step[416/526], Loss: 0.5510
Epoch [67/100], Step[417/526], Loss: 0.4548
Epoch [67/100], Step[418/526], Loss: 0.7377
Epoch [67/100], Step[419/526], Loss: 0.6913
Epoch [67/100], Step[420/526], Loss: 0.6815
Epoch [67/100], Step[421/526], Loss: 0.6495
Epoch [67/100], Step[422/526], Loss: 0.7651
Epoch [67/100], Step[423/526], Loss: 0.6865
Epoch [67/100], Step[424/526], Loss: 0.7438
Epoch [67/100], Step[425/526], Loss: 0.6981
Epoch [67/100], Step[426/526], Loss: 0.7626
Epoch [67/100], Step[427/526], Loss: 0.7055
Epoch [67/100], Step[428/526], Loss: 0.7153
Epoch [67/100], Step[429/526], Loss: 0.7274
Epoch [67/100], Step[430/526], Loss: 0.7845
Epoch [67/100], Step[431/526], Loss: 0.7073
Epoch [67/100], Step[432/526], Loss: 0.7294
Epoch [67/100], Step[433/526], Loss: 0.6774
Epoch [67/100], Step[434/526], Loss: 0.6110
Epoch [67/100], Step[435/526], Loss: 0.7796
Epoch [67/100], Step[436/526], Loss: 0.8094
Epoch [67/100], Step[437/526], Loss: 0.5067
Epoch [67/100], Step[438/526], Loss: 0.3610
Epoch [67/100], Step[439/526], Loss: 0.7199
Epoch [67/100], Step[440/526], Loss: 0.6821
Epoch [67/100], Step[441/526], Loss: 0.6969
Epoch [67/100], Step[442/526], Loss: 0.6425
Epoch [67/100], Step[443/526], Loss: 0.6727
Epoch [67/100], Step[444/526], Loss: 0.7504
Epoch [67/100], Step[445/526], Loss: 0.7033
Epoch [67/100], Step[446/526], Loss: 0.7155
Epoch [67/100], Step[447/526], Loss: 0.7191
Epoch [67/100], Step[448/526], Loss: 0.7157
Epoch [67/100], Step[449/526], Loss: 0.6713
Epoch [67/100], Step[450/526], Loss: 0.6027
Epoch [67/100], Step[451/526], Loss: 0.6643
Epoch [67/100], Step[452/526], Loss: 0.7250
Epoch [67/100], Step[453/526], Loss: 0.7108
Epoch [67/100], Step[454/526], Loss: 0.8363
Epoch [67/100], Step[455/526], Loss: 0.6520
Epoch [67/100], Step[456/526], Loss: 0.6673
Epoch [67/100], Step[457/526], Loss: 0.6996
Epoch [67/100], Step[458/526], Loss: 0.6922
Epoch [67/100], Step[459/526], Loss: 0.6624
Epoch [67/100], Step[460/526], Loss: 0.6448
Epoch [67/100], Step[461/526], Loss: 0.6128
Epoch [67/100], Step[462/526], Loss: 0.6698
Epoch [67/100], Step[463/526], Loss: 0.6543
Epoch [67/100], Step[464/526], Loss: 0.6313
Epoch [67/100], Step[465/526], Loss: 0.6600
Epoch [67/100], Step[466/526], Loss: 0.6691
Epoch [67/100], Step[467/526], Loss: 0.6555
Epoch [67/100], Step[468/526], Loss: 0.6139
Epoch [67/100], Step[469/526], Loss: 0.8085
Epoch [67/100], Step[470/526], Loss: 0.6601
Epoch [67/100], Step[471/526], Loss: 0.6967
Epoch [67/100], Step[472/526], Loss: 0.6784
Epoch [67/100], Step[473/526], Loss: 0.6817
Epoch [67/100], Step[474/526], Loss: 0.6796
Epoch [67/100], Step[475/526], Loss: 0.8374
Epoch [67/100], Step[476/526], Loss: 0.7371
Epoch [67/100], Step[477/526], Loss: 0.7094
Epoch [67/100], Step[478/526], Loss: 0.6847
Epoch [67/100], Step[479/526], Loss: 0.6587
Epoch [67/100], Step[480/526], Loss: 0.7380
Epoch [67/100], Step[481/526], Loss: 0.7305
Epoch [67/100], Step[482/526], Loss: 0.6174
Epoch [67/100], Step[483/526], Loss: 0.5379
Epoch [67/100], Step[484/526], Loss: 0.7058
Epoch [67/100], Step[485/526], Loss: 0.7642
Epoch [67/100], Step[486/526], Loss: 0.7279
Epoch [67/100], Step[487/526], Loss: 0.7498
Epoch [67/100], Step[488/526], Loss: 0.6879
Epoch [67/100], Step[489/526], Loss: 0.6084
Epoch [67/100], Step[490/526], Loss: 0.6107
Epoch [67/100], Step[491/526], Loss: 0.6928
Epoch [67/100], Step[492/526], Loss: 0.6470
Epoch [67/100], Step[493/526], Loss: 0.6376
Epoch [67/100], Step[494/526], Loss: 0.6614
Epoch [67/100], Step[495/526], Loss: 0.6813
Epoch [67/100], Step[496/526], Loss: 0.6661
Epoch [67/100], Step[497/526], Loss: 0.6336
Epoch [67/100], Step[498/526], Loss: 0.6655
Epoch [67/100], Step[499/526], Loss: 0.6692
Epoch [67/100], Step[500/526], Loss: 0.6923
Epoch [67/100], Step[501/526], Loss: 0.6509
Epoch [67/100], Step[502/526], Loss: 0.6902
Epoch [67/100], Step[503/526], Loss: 0.7163
Epoch [67/100], Step[504/526], Loss: 0.6757
Epoch [67/100], Step[505/526], Loss: 0.6970
Epoch [67/100], Step[506/526], Loss: 0.6676
Epoch [67/100], Step[507/526], Loss: 0.6643
Epoch [67/100], Step[508/526], Loss: 0.7204
Epoch [67/100], Step[509/526], Loss: 0.6532
Epoch [67/100], Step[510/526], Loss: 0.7019
Epoch [67/100], Step[511/526], Loss: 0.5994
Epoch [67/100], Step[512/526], Loss: 0.6629
Epoch [67/100], Step[513/526], Loss: 0.6836
Epoch [67/100], Step[514/526], Loss: 0.6596
Epoch [67/100], Step[515/526], Loss: 0.5845
Epoch [67/100], Step[516/526], Loss: 0.7542
Epoch [67/100], Step[517/526], Loss: 0.6896
Epoch [67/100], Step[518/526], Loss: 0.7245
Epoch [67/100], Step[519/526], Loss: 0.7540
Epoch [67/100], Step[520/526], Loss: 0.6806
Epoch [67/100], Step[521/526], Loss: 0.6438
Epoch [67/100], Step[522/526], Loss: 0.6019
Epoch [67/100], Step[523/526], Loss: 0.6423
Epoch [67/100], Step[524/526], Loss: 0.6294
Epoch [67/100], Step[525/526], Loss: 0.7640
Epoch [67/100], Step[526/526], Loss: 0.6884
Epoch [68/100], Step[1/526], Loss: 0.6477
Epoch [68/100], Step[2/526], Loss: 0.6423
Epoch [68/100], Step[3/526], Loss: 0.6594
Epoch [68/100], Step[4/526], Loss: 0.6041
Epoch [68/100], Step[5/526], Loss: 0.7478
Epoch [68/100], Step[6/526], Loss: 0.7737
Epoch [68/100], Step[7/526], Loss: 0.7034
Epoch [68/100], Step[8/526], Loss: 0.6763
Epoch [68/100], Step[9/526], Loss: 0.6927
Epoch [68/100], Step[10/526], Loss: 0.6460
Epoch [68/100], Step[11/526], Loss: 0.7022
Epoch [68/100], Step[12/526], Loss: 0.7701
Epoch [68/100], Step[13/526], Loss: 0.5883
Epoch [68/100], Step[14/526], Loss: 0.6424
Epoch [68/100], Step[15/526], Loss: 0.6867
Epoch [68/100], Step[16/526], Loss: 0.7058
Epoch [68/100], Step[17/526], Loss: 0.6981
Epoch [68/100], Step[18/526], Loss: 0.6712
Epoch [68/100], Step[19/526], Loss: 0.6963
Epoch [68/100], Step[20/526], Loss: 0.7561
Epoch [68/100], Step[21/526], Loss: 0.7643
Epoch [68/100], Step[22/526], Loss: 0.7345
Epoch [68/100], Step[23/526], Loss: 0.7466
Epoch [68/100], Step[24/526], Loss: 0.7262
Epoch [68/100], Step[25/526], Loss: 0.6907
Epoch [68/100], Step[26/526], Loss: 0.6181
Epoch [68/100], Step[27/526], Loss: 0.6831
Epoch [68/100], Step[28/526], Loss: 0.6980
Epoch [68/100], Step[29/526], Loss: 0.6571
Epoch [68/100], Step[30/526], Loss: 0.6946
Epoch [68/100], Step[31/526], Loss: 0.7031
Epoch [68/100], Step[32/526], Loss: 0.6596
Epoch [68/100], Step[33/526], Loss: 0.7217
Epoch [68/100], Step[34/526], Loss: 0.6954
Epoch [68/100], Step[35/526], Loss: 0.7082
Epoch [68/100], Step[36/526], Loss: 0.6994
Epoch [68/100], Step[37/526], Loss: 0.6866
Epoch [68/100], Step[38/526], Loss: 0.7097
Epoch [68/100], Step[39/526], Loss: 0.6896
Epoch [68/100], Step[40/526], Loss: 0.6988
Epoch [68/100], Step[41/526], Loss: 0.6777
Epoch [68/100], Step[42/526], Loss: 0.7183
Epoch [68/100], Step[43/526], Loss: 0.7186
Epoch [68/100], Step[44/526], Loss: 0.6828
Epoch [68/100], Step[45/526], Loss: 0.6777
Epoch [68/100], Step[46/526], Loss: 0.6949
Epoch [68/100], Step[47/526], Loss: 0.7267
Epoch [68/100], Step[48/526], Loss: 0.7251
Epoch [68/100], Step[49/526], Loss: 0.7029
Epoch [68/100], Step[50/526], Loss: 0.7045
Epoch [68/100], Step[51/526], Loss: 0.6981
Epoch [68/100], Step[52/526], Loss: 0.6635
Epoch [68/100], Step[53/526], Loss: 0.7054
Epoch [68/100], Step[54/526], Loss: 0.7037
Epoch [68/100], Step[55/526], Loss: 0.7033
Epoch [68/100], Step[56/526], Loss: 0.7000
Epoch [68/100], Step[57/526], Loss: 0.6762
Epoch [68/100], Step[58/526], Loss: 0.6739
Epoch [68/100], Step[59/526], Loss: 0.6441
Epoch [68/100], Step[60/526], Loss: 0.6700
Epoch [68/100], Step[61/526], Loss: 0.6562
Epoch [68/100], Step[62/526], Loss: 0.6883
Epoch [68/100], Step[63/526], Loss: 0.6882
Epoch [68/100], Step[64/526], Loss: 0.6819
Epoch [68/100], Step[65/526], Loss: 0.7193
Epoch [68/100], Step[66/526], Loss: 0.6857
Epoch [68/100], Step[67/526], Loss: 0.6417
Epoch [68/100], Step[68/526], Loss: 0.6418
Epoch [68/100], Step[69/526], Loss: 0.6958
Epoch [68/100], Step[70/526], Loss: 0.6967
Epoch [68/100], Step[71/526], Loss: 0.6775
Epoch [68/100], Step[72/526], Loss: 0.6755
Epoch [68/100], Step[73/526], Loss: 0.7169
Epoch [68/100], Step[74/526], Loss: 0.6477
Epoch [68/100], Step[75/526], Loss: 0.6955
Epoch [68/100], Step[76/526], Loss: 0.6670
Epoch [68/100], Step[77/526], Loss: 0.6970
Epoch [68/100], Step[78/526], Loss: 0.7128
Epoch [68/100], Step[79/526], Loss: 0.6809
Epoch [68/100], Step[80/526], Loss: 0.6791
Epoch [68/100], Step[81/526], Loss: 0.6843
Epoch [68/100], Step[82/526], Loss: 0.7072
Epoch [68/100], Step[83/526], Loss: 0.6913
Epoch [68/100], Step[84/526], Loss: 0.6761
Epoch [68/100], Step[85/526], Loss: 0.6518
Epoch [68/100], Step[86/526], Loss: 0.7018
Epoch [68/100], Step[87/526], Loss: 0.6815
Epoch [68/100], Step[88/526], Loss: 0.7085
Epoch [68/100], Step[89/526], Loss: 0.7204
Epoch [68/100], Step[90/526], Loss: 0.7040
Epoch [68/100], Step[91/526], Loss: 0.6777
Epoch [68/100], Step[92/526], Loss: 0.6620
Epoch [68/100], Step[93/526], Loss: 0.6926
Epoch [68/100], Step[94/526], Loss: 0.8025
Epoch [68/100], Step[95/526], Loss: 0.7168
Epoch [68/100], Step[96/526], Loss: 0.6165
Epoch [68/100], Step[97/526], Loss: 0.6044
Epoch [68/100], Step[98/526], Loss: 0.6710
Epoch [68/100], Step[99/526], Loss: 0.6916
Epoch [68/100], Step[100/526], Loss: 0.6556
Epoch [68/100], Step[101/526], Loss: 0.6524
Epoch [68/100], Step[102/526], Loss: 0.6448
Epoch [68/100], Step[103/526], Loss: 0.7369
Epoch [68/100], Step[104/526], Loss: 0.6758
Epoch [68/100], Step[105/526], Loss: 0.6543
Epoch [68/100], Step[106/526], Loss: 0.6849
Epoch [68/100], Step[107/526], Loss: 0.6219
Epoch [68/100], Step[108/526], Loss: 0.5690
Epoch [68/100], Step[109/526], Loss: 0.6797
Epoch [68/100], Step[110/526], Loss: 0.6685
Epoch [68/100], Step[111/526], Loss: 0.5971
Epoch [68/100], Step[112/526], Loss: 0.7183
Epoch [68/100], Step[113/526], Loss: 0.6104
Epoch [68/100], Step[114/526], Loss: 0.6676
Epoch [68/100], Step[115/526], Loss: 0.5896
Epoch [68/100], Step[116/526], Loss: 0.6239
Epoch [68/100], Step[117/526], Loss: 0.6623
Epoch [68/100], Step[118/526], Loss: 0.7568
Epoch [68/100], Step[119/526], Loss: 0.6763
Epoch [68/100], Step[120/526], Loss: 0.6650
Epoch [68/100], Step[121/526], Loss: 0.6769
Epoch [68/100], Step[122/526], Loss: 0.6169
Epoch [68/100], Step[123/526], Loss: 0.6536
Epoch [68/100], Step[124/526], Loss: 0.6707
Epoch [68/100], Step[125/526], Loss: 0.6462
Epoch [68/100], Step[126/526], Loss: 0.7171
Epoch [68/100], Step[127/526], Loss: 0.6847
Epoch [68/100], Step[128/526], Loss: 0.6527
Epoch [68/100], Step[129/526], Loss: 0.6132
Epoch [68/100], Step[130/526], Loss: 0.6320
Epoch [68/100], Step[131/526], Loss: 0.6466
Epoch [68/100], Step[132/526], Loss: 0.7210
Epoch [68/100], Step[133/526], Loss: 0.6915
Epoch [68/100], Step[134/526], Loss: 0.6346
Epoch [68/100], Step[135/526], Loss: 0.6363
Epoch [68/100], Step[136/526], Loss: 0.5597
Epoch [68/100], Step[137/526], Loss: 0.6449
Epoch [68/100], Step[138/526], Loss: 0.6496
Epoch [68/100], Step[139/526], Loss: 0.6899
Epoch [68/100], Step[140/526], Loss: 0.5978
Epoch [68/100], Step[141/526], Loss: 0.6703
Epoch [68/100], Step[142/526], Loss: 0.6659
Epoch [68/100], Step[143/526], Loss: 0.6851
Epoch [68/100], Step[144/526], Loss: 0.7795
Epoch [68/100], Step[145/526], Loss: 0.5138
Epoch [68/100], Step[146/526], Loss: 0.5207
Epoch [68/100], Step[147/526], Loss: 0.4622
Epoch [68/100], Step[148/526], Loss: 0.5980
Epoch [68/100], Step[149/526], Loss: 0.4742
Epoch [68/100], Step[150/526], Loss: 0.5591
Epoch [68/100], Step[151/526], Loss: 0.5407
Epoch [68/100], Step[152/526], Loss: 0.6166
Epoch [68/100], Step[153/526], Loss: 0.6280
Epoch [68/100], Step[154/526], Loss: 0.6787
Epoch [68/100], Step[155/526], Loss: 0.6765
Epoch [68/100], Step[156/526], Loss: 0.5401
Epoch [68/100], Step[157/526], Loss: 0.2698
Epoch [68/100], Step[158/526], Loss: 0.5976
Epoch [68/100], Step[159/526], Loss: 0.6531
Epoch [68/100], Step[160/526], Loss: 0.5459
Epoch [68/100], Step[161/526], Loss: 0.8493
Epoch [68/100], Step[162/526], Loss: 0.7089
Epoch [68/100], Step[163/526], Loss: 0.7032
Epoch [68/100], Step[164/526], Loss: 0.6261
Epoch [68/100], Step[165/526], Loss: 0.6953
Epoch [68/100], Step[166/526], Loss: 0.5143
Epoch [68/100], Step[167/526], Loss: 0.5685
Epoch [68/100], Step[168/526], Loss: 0.7115
Epoch [68/100], Step[169/526], Loss: 0.7467
Epoch [68/100], Step[170/526], Loss: 0.7159
Epoch [68/100], Step[171/526], Loss: 0.7368
Epoch [68/100], Step[172/526], Loss: 0.7072
Epoch [68/100], Step[173/526], Loss: 0.8308
Epoch [68/100], Step[174/526], Loss: 0.6208
Epoch [68/100], Step[175/526], Loss: 0.6471
Epoch [68/100], Step[176/526], Loss: 0.6641
Epoch [68/100], Step[177/526], Loss: 0.6650
Epoch [68/100], Step[178/526], Loss: 0.6984
Epoch [68/100], Step[179/526], Loss: 0.6269
Epoch [68/100], Step[180/526], Loss: 0.6332
Epoch [68/100], Step[181/526], Loss: 0.6471
Epoch [68/100], Step[182/526], Loss: 0.6815
Epoch [68/100], Step[183/526], Loss: 0.5454
Epoch [68/100], Step[184/526], Loss: 0.5836
Epoch [68/100], Step[185/526], Loss: 0.5833
Epoch [68/100], Step[186/526], Loss: 0.6400
Epoch [68/100], Step[187/526], Loss: 0.7567
Epoch [68/100], Step[188/526], Loss: 0.7384
Epoch [68/100], Step[189/526], Loss: 0.6733
Epoch [68/100], Step[190/526], Loss: 0.6566
Epoch [68/100], Step[191/526], Loss: 0.7067
Epoch [68/100], Step[192/526], Loss: 0.8175
Epoch [68/100], Step[193/526], Loss: 0.6282
Epoch [68/100], Step[194/526], Loss: 0.6230
Epoch [68/100], Step[195/526], Loss: 0.6273
Epoch [68/100], Step[196/526], Loss: 0.7084
Epoch [68/100], Step[197/526], Loss: 0.6445
Epoch [68/100], Step[198/526], Loss: 0.6125
Epoch [68/100], Step[199/526], Loss: 0.7399
Epoch [68/100], Step[200/526], Loss: 0.6649
Epoch [68/100], Step[201/526], Loss: 0.6893
Epoch [68/100], Step[202/526], Loss: 0.7932
Epoch [68/100], Step[203/526], Loss: 0.6604
Epoch [68/100], Step[204/526], Loss: 0.7840
Epoch [68/100], Step[205/526], Loss: 0.7114
Epoch [68/100], Step[206/526], Loss: 0.6939
Epoch [68/100], Step[207/526], Loss: 0.7190
Epoch [68/100], Step[208/526], Loss: 0.6971
Epoch [68/100], Step[209/526], Loss: 0.7000
Epoch [68/100], Step[210/526], Loss: 0.7826
Epoch [68/100], Step[211/526], Loss: 0.6265
Epoch [68/100], Step[212/526], Loss: 0.6884
Epoch [68/100], Step[213/526], Loss: 0.7272
Epoch [68/100], Step[214/526], Loss: 0.7373
Epoch [68/100], Step[215/526], Loss: 0.6945
Epoch [68/100], Step[216/526], Loss: 0.6794
Epoch [68/100], Step[217/526], Loss: 0.6695
Epoch [68/100], Step[218/526], Loss: 0.7009
Epoch [68/100], Step[219/526], Loss: 0.6890
Epoch [68/100], Step[220/526], Loss: 0.7365
Epoch [68/100], Step[221/526], Loss: 0.6910
Epoch [68/100], Step[222/526], Loss: 0.7525
Epoch [68/100], Step[223/526], Loss: 0.6725
Epoch [68/100], Step[224/526], Loss: 0.6753
Epoch [68/100], Step[225/526], Loss: 0.7311
Epoch [68/100], Step[226/526], Loss: 0.6697
Epoch [68/100], Step[227/526], Loss: 0.6604
Epoch [68/100], Step[228/526], Loss: 0.6516
Epoch [68/100], Step[229/526], Loss: 0.6763
Epoch [68/100], Step[230/526], Loss: 0.6584
Epoch [68/100], Step[231/526], Loss: 0.6649
Epoch [68/100], Step[232/526], Loss: 0.7121
Epoch [68/100], Step[233/526], Loss: 0.6819
Epoch [68/100], Step[234/526], Loss: 0.6590
Epoch [68/100], Step[235/526], Loss: 0.7037
Epoch [68/100], Step[236/526], Loss: 0.6951
Epoch [68/100], Step[237/526], Loss: 0.7166
Epoch [68/100], Step[238/526], Loss: 0.6753
Epoch [68/100], Step[239/526], Loss: 0.6623
Epoch [68/100], Step[240/526], Loss: 0.7217
Epoch [68/100], Step[241/526], Loss: 0.6875
Epoch [68/100], Step[242/526], Loss: 0.7091
Epoch [68/100], Step[243/526], Loss: 0.6515
Epoch [68/100], Step[244/526], Loss: 0.6284
Epoch [68/100], Step[245/526], Loss: 0.6302
Epoch [68/100], Step[246/526], Loss: 0.6567
Epoch [68/100], Step[247/526], Loss: 0.6005
Epoch [68/100], Step[248/526], Loss: 0.6558
Epoch [68/100], Step[249/526], Loss: 0.6638
Epoch [68/100], Step[250/526], Loss: 0.6754
Epoch [68/100], Step[251/526], Loss: 0.6952
Epoch [68/100], Step[252/526], Loss: 0.6888
Epoch [68/100], Step[253/526], Loss: 0.6214
Epoch [68/100], Step[254/526], Loss: 0.6676
Epoch [68/100], Step[255/526], Loss: 0.5781
Epoch [68/100], Step[256/526], Loss: 0.6751
Epoch [68/100], Step[257/526], Loss: 0.6496
Epoch [68/100], Step[258/526], Loss: 0.6202
Epoch [68/100], Step[259/526], Loss: 0.6873
Epoch [68/100], Step[260/526], Loss: 0.7740
Epoch [68/100], Step[261/526], Loss: 0.7804
Epoch [68/100], Step[262/526], Loss: 0.6762
Epoch [68/100], Step[263/526], Loss: 0.6584
Epoch [68/100], Step[264/526], Loss: 0.6263
Epoch [68/100], Step[265/526], Loss: 0.6177
Epoch [68/100], Step[266/526], Loss: 0.6269
Epoch [68/100], Step[267/526], Loss: 0.5107
Epoch [68/100], Step[268/526], Loss: 0.5432
Epoch [68/100], Step[269/526], Loss: 0.4368
Epoch [68/100], Step[270/526], Loss: 0.3691
Epoch [68/100], Step[271/526], Loss: 0.5066
Epoch [68/100], Step[272/526], Loss: 0.5159
Epoch [68/100], Step[273/526], Loss: 0.6453
Epoch [68/100], Step[274/526], Loss: 0.4229
Epoch [68/100], Step[275/526], Loss: 0.3852
Epoch [68/100], Step[276/526], Loss: 0.4775
Epoch [68/100], Step[277/526], Loss: 0.4050
Epoch [68/100], Step[278/526], Loss: 0.4466
Epoch [68/100], Step[279/526], Loss: 0.3979
Epoch [68/100], Step[280/526], Loss: 0.4347
Epoch [68/100], Step[281/526], Loss: 0.6287
Epoch [68/100], Step[282/526], Loss: 0.3566
Epoch [68/100], Step[283/526], Loss: 0.3753
Epoch [68/100], Step[284/526], Loss: 0.4053
Epoch [68/100], Step[285/526], Loss: 0.2745
Epoch [68/100], Step[286/526], Loss: 0.7070
Epoch [68/100], Step[287/526], Loss: 0.4824
Epoch [68/100], Step[288/526], Loss: 0.4198
Epoch [68/100], Step[289/526], Loss: 0.6170
Epoch [68/100], Step[290/526], Loss: 0.4329
Epoch [68/100], Step[291/526], Loss: 0.4908
Epoch [68/100], Step[292/526], Loss: 0.2735
Epoch [68/100], Step[293/526], Loss: 0.3035
Epoch [68/100], Step[294/526], Loss: 0.3203
Epoch [68/100], Step[295/526], Loss: 0.4100
Epoch [68/100], Step[296/526], Loss: 0.6090
Epoch [68/100], Step[297/526], Loss: 0.3120
Epoch [68/100], Step[298/526], Loss: 0.2735
Epoch [68/100], Step[299/526], Loss: 0.2371
Epoch [68/100], Step[300/526], Loss: 0.2750
Epoch [68/100], Step[301/526], Loss: 0.6261
Epoch [68/100], Step[302/526], Loss: 0.3392
Epoch [68/100], Step[303/526], Loss: 0.4748
Epoch [68/100], Step[304/526], Loss: 0.2449
Epoch [68/100], Step[305/526], Loss: 0.2562
Epoch [68/100], Step[306/526], Loss: 0.5862
Epoch [68/100], Step[307/526], Loss: 0.8984
Epoch [68/100], Step[308/526], Loss: 1.3482
Epoch [68/100], Step[309/526], Loss: 0.9442
Epoch [68/100], Step[310/526], Loss: 0.9684
Epoch [68/100], Step[311/526], Loss: 0.8391
Epoch [68/100], Step[312/526], Loss: 0.4870
Epoch [68/100], Step[313/526], Loss: 0.4622
Epoch [68/100], Step[314/526], Loss: 0.6213
Epoch [68/100], Step[315/526], Loss: 0.7091
Epoch [68/100], Step[316/526], Loss: 0.4920
Epoch [68/100], Step[317/526], Loss: 0.3292
Epoch [68/100], Step[318/526], Loss: 0.7585
Epoch [68/100], Step[319/526], Loss: 0.3678
Epoch [68/100], Step[320/526], Loss: 0.6346
Epoch [68/100], Step[321/526], Loss: 0.7143
Epoch [68/100], Step[322/526], Loss: 0.2760
Epoch [68/100], Step[323/526], Loss: 0.6127
Epoch [68/100], Step[324/526], Loss: 0.6416
Epoch [68/100], Step[325/526], Loss: 0.5775
Epoch [68/100], Step[326/526], Loss: 0.7450
Epoch [68/100], Step[327/526], Loss: 0.7556
Epoch [68/100], Step[328/526], Loss: 0.9283
Epoch [68/100], Step[329/526], Loss: 1.2641
Epoch [68/100], Step[330/526], Loss: 1.0328
Epoch [68/100], Step[331/526], Loss: 0.7701
Epoch [68/100], Step[332/526], Loss: 0.8142
Epoch [68/100], Step[333/526], Loss: 0.7478
Epoch [68/100], Step[334/526], Loss: 0.7537
Epoch [68/100], Step[335/526], Loss: 0.7763
Epoch [68/100], Step[336/526], Loss: 0.6990
Epoch [68/100], Step[337/526], Loss: 0.5886
Epoch [68/100], Step[338/526], Loss: 0.7069
Epoch [68/100], Step[339/526], Loss: 0.6436
Epoch [68/100], Step[340/526], Loss: 0.7228
Epoch [68/100], Step[341/526], Loss: 0.7566
Epoch [68/100], Step[342/526], Loss: 0.7608
Epoch [68/100], Step[343/526], Loss: 0.5358
Epoch [68/100], Step[344/526], Loss: 0.7184
Epoch [68/100], Step[345/526], Loss: 0.6708
Epoch [68/100], Step[346/526], Loss: 0.6623
Epoch [68/100], Step[347/526], Loss: 0.7148
Epoch [68/100], Step[348/526], Loss: 0.6210
Epoch [68/100], Step[349/526], Loss: 0.5738
Epoch [68/100], Step[350/526], Loss: 0.6661
Epoch [68/100], Step[351/526], Loss: 0.7034
Epoch [68/100], Step[352/526], Loss: 0.6134
Epoch [68/100], Step[353/526], Loss: 0.6774
Epoch [68/100], Step[354/526], Loss: 0.6665
Epoch [68/100], Step[355/526], Loss: 0.6664
Epoch [68/100], Step[356/526], Loss: 0.6961
Epoch [68/100], Step[357/526], Loss: 0.6617
Epoch [68/100], Step[358/526], Loss: 0.6961
Epoch [68/100], Step[359/526], Loss: 0.6392
Epoch [68/100], Step[360/526], Loss: 0.6868
Epoch [68/100], Step[361/526], Loss: 0.7299
Epoch [68/100], Step[362/526], Loss: 0.7055
Epoch [68/100], Step[363/526], Loss: 0.6945
Epoch [68/100], Step[364/526], Loss: 0.7258
Epoch [68/100], Step[365/526], Loss: 0.7256
Epoch [68/100], Step[366/526], Loss: 0.6807
Epoch [68/100], Step[367/526], Loss: 0.6896
Epoch [68/100], Step[368/526], Loss: 0.6498
Epoch [68/100], Step[369/526], Loss: 0.6567
Epoch [68/100], Step[370/526], Loss: 0.5321
Epoch [68/100], Step[371/526], Loss: 0.7381
Epoch [68/100], Step[372/526], Loss: 0.6354
Epoch [68/100], Step[373/526], Loss: 0.6805
Epoch [68/100], Step[374/526], Loss: 0.7094
Epoch [68/100], Step[375/526], Loss: 0.6464
Epoch [68/100], Step[376/526], Loss: 0.6487
Epoch [68/100], Step[377/526], Loss: 0.6967
Epoch [68/100], Step[378/526], Loss: 0.6838
Epoch [68/100], Step[379/526], Loss: 0.7578
Epoch [68/100], Step[380/526], Loss: 0.6069
Epoch [68/100], Step[381/526], Loss: 0.5939
Epoch [68/100], Step[382/526], Loss: 0.6764
Epoch [68/100], Step[383/526], Loss: 0.7047
Epoch [68/100], Step[384/526], Loss: 0.6317
Epoch [68/100], Step[385/526], Loss: 0.6179
Epoch [68/100], Step[386/526], Loss: 0.6748
Epoch [68/100], Step[387/526], Loss: 0.6502
Epoch [68/100], Step[388/526], Loss: 0.6015
Epoch [68/100], Step[389/526], Loss: 0.7219
Epoch [68/100], Step[390/526], Loss: 0.5749
Epoch [68/100], Step[391/526], Loss: 0.6530
Epoch [68/100], Step[392/526], Loss: 0.7043
Epoch [68/100], Step[393/526], Loss: 0.5818
Epoch [68/100], Step[394/526], Loss: 0.5115
Epoch [68/100], Step[395/526], Loss: 0.5859
Epoch [68/100], Step[396/526], Loss: 0.6244
Epoch [68/100], Step[397/526], Loss: 0.4652
Epoch [68/100], Step[398/526], Loss: 0.6046
Epoch [68/100], Step[399/526], Loss: 0.6554
Epoch [68/100], Step[400/526], Loss: 0.4734
Epoch [68/100], Step[401/526], Loss: 0.6027
Epoch [68/100], Step[402/526], Loss: 0.6435
Epoch [68/100], Step[403/526], Loss: 0.7862
Epoch [68/100], Step[404/526], Loss: 0.4785
Epoch [68/100], Step[405/526], Loss: 0.5011
Epoch [68/100], Step[406/526], Loss: 0.6294
Epoch [68/100], Step[407/526], Loss: 0.7578
Epoch [68/100], Step[408/526], Loss: 0.6704
Epoch [68/100], Step[409/526], Loss: 0.4854
Epoch [68/100], Step[410/526], Loss: 0.4933
Epoch [68/100], Step[411/526], Loss: 0.5377
Epoch [68/100], Step[412/526], Loss: 0.5964
Epoch [68/100], Step[413/526], Loss: 0.6054
Epoch [68/100], Step[414/526], Loss: 0.6445
Epoch [68/100], Step[415/526], Loss: 0.6015
Epoch [68/100], Step[416/526], Loss: 0.5526
Epoch [68/100], Step[417/526], Loss: 0.4508
Epoch [68/100], Step[418/526], Loss: 0.7401
Epoch [68/100], Step[419/526], Loss: 0.6916
Epoch [68/100], Step[420/526], Loss: 0.6832
Epoch [68/100], Step[421/526], Loss: 0.6500
Epoch [68/100], Step[422/526], Loss: 0.7589
Epoch [68/100], Step[423/526], Loss: 0.6871
Epoch [68/100], Step[424/526], Loss: 0.7436
Epoch [68/100], Step[425/526], Loss: 0.6972
Epoch [68/100], Step[426/526], Loss: 0.7602
Epoch [68/100], Step[427/526], Loss: 0.7062
Epoch [68/100], Step[428/526], Loss: 0.7154
Epoch [68/100], Step[429/526], Loss: 0.7293
Epoch [68/100], Step[430/526], Loss: 0.7857
Epoch [68/100], Step[431/526], Loss: 0.7064
Epoch [68/100], Step[432/526], Loss: 0.7298
Epoch [68/100], Step[433/526], Loss: 0.6772
Epoch [68/100], Step[434/526], Loss: 0.6110
Epoch [68/100], Step[435/526], Loss: 0.7820
Epoch [68/100], Step[436/526], Loss: 0.8019
Epoch [68/100], Step[437/526], Loss: 0.4891
Epoch [68/100], Step[438/526], Loss: 0.3597
Epoch [68/100], Step[439/526], Loss: 0.7213
Epoch [68/100], Step[440/526], Loss: 0.6834
Epoch [68/100], Step[441/526], Loss: 0.6945
Epoch [68/100], Step[442/526], Loss: 0.6448
Epoch [68/100], Step[443/526], Loss: 0.6726
Epoch [68/100], Step[444/526], Loss: 0.7510
Epoch [68/100], Step[445/526], Loss: 0.7043
Epoch [68/100], Step[446/526], Loss: 0.7093
Epoch [68/100], Step[447/526], Loss: 0.7170
Epoch [68/100], Step[448/526], Loss: 0.7159
Epoch [68/100], Step[449/526], Loss: 0.6713
Epoch [68/100], Step[450/526], Loss: 0.5959
Epoch [68/100], Step[451/526], Loss: 0.6656
Epoch [68/100], Step[452/526], Loss: 0.7252
Epoch [68/100], Step[453/526], Loss: 0.7125
Epoch [68/100], Step[454/526], Loss: 0.8382
Epoch [68/100], Step[455/526], Loss: 0.6445
Epoch [68/100], Step[456/526], Loss: 0.6757
Epoch [68/100], Step[457/526], Loss: 0.7123
Epoch [68/100], Step[458/526], Loss: 0.7004
Epoch [68/100], Step[459/526], Loss: 0.6558
Epoch [68/100], Step[460/526], Loss: 0.6504
Epoch [68/100], Step[461/526], Loss: 0.6133
Epoch [68/100], Step[462/526], Loss: 0.6603
Epoch [68/100], Step[463/526], Loss: 0.6549
Epoch [68/100], Step[464/526], Loss: 0.6346
Epoch [68/100], Step[465/526], Loss: 0.6562
Epoch [68/100], Step[466/526], Loss: 0.6774
Epoch [68/100], Step[467/526], Loss: 0.6416
Epoch [68/100], Step[468/526], Loss: 0.6139
Epoch [68/100], Step[469/526], Loss: 0.8168
Epoch [68/100], Step[470/526], Loss: 0.6602
Epoch [68/100], Step[471/526], Loss: 0.6949
Epoch [68/100], Step[472/526], Loss: 0.6795
Epoch [68/100], Step[473/526], Loss: 0.6812
Epoch [68/100], Step[474/526], Loss: 0.6798
Epoch [68/100], Step[475/526], Loss: 0.8384
Epoch [68/100], Step[476/526], Loss: 0.7412
Epoch [68/100], Step[477/526], Loss: 0.7074
Epoch [68/100], Step[478/526], Loss: 0.6828
Epoch [68/100], Step[479/526], Loss: 0.6576
Epoch [68/100], Step[480/526], Loss: 0.7372
Epoch [68/100], Step[481/526], Loss: 0.7322
Epoch [68/100], Step[482/526], Loss: 0.6211
Epoch [68/100], Step[483/526], Loss: 0.5377
Epoch [68/100], Step[484/526], Loss: 0.7065
Epoch [68/100], Step[485/526], Loss: 0.7660
Epoch [68/100], Step[486/526], Loss: 0.7282
Epoch [68/100], Step[487/526], Loss: 0.7500
Epoch [68/100], Step[488/526], Loss: 0.6883
Epoch [68/100], Step[489/526], Loss: 0.6079
Epoch [68/100], Step[490/526], Loss: 0.6141
Epoch [68/100], Step[491/526], Loss: 0.6988
Epoch [68/100], Step[492/526], Loss: 0.6464
Epoch [68/100], Step[493/526], Loss: 0.6373
Epoch [68/100], Step[494/526], Loss: 0.6624
Epoch [68/100], Step[495/526], Loss: 0.6828
Epoch [68/100], Step[496/526], Loss: 0.6649
Epoch [68/100], Step[497/526], Loss: 0.6347
Epoch [68/100], Step[498/526], Loss: 0.6663
Epoch [68/100], Step[499/526], Loss: 0.6679
Epoch [68/100], Step[500/526], Loss: 0.6964
Epoch [68/100], Step[501/526], Loss: 0.6523
Epoch [68/100], Step[502/526], Loss: 0.6961
Epoch [68/100], Step[503/526], Loss: 0.7133
Epoch [68/100], Step[504/526], Loss: 0.7045
Epoch [68/100], Step[505/526], Loss: 0.7097
Epoch [68/100], Step[506/526], Loss: 0.6570
Epoch [68/100], Step[507/526], Loss: 0.6724
Epoch [68/100], Step[508/526], Loss: 0.6934
Epoch [68/100], Step[509/526], Loss: 0.6385
Epoch [68/100], Step[510/526], Loss: 0.7011
Epoch [68/100], Step[511/526], Loss: 0.6408
Epoch [68/100], Step[512/526], Loss: 0.6715
Epoch [68/100], Step[513/526], Loss: 0.6414
Epoch [68/100], Step[514/526], Loss: 0.6536
Epoch [68/100], Step[515/526], Loss: 0.5736
Epoch [68/100], Step[516/526], Loss: 0.7509
Epoch [68/100], Step[517/526], Loss: 0.6931
Epoch [68/100], Step[518/526], Loss: 0.7304
Epoch [68/100], Step[519/526], Loss: 0.7183
Epoch [68/100], Step[520/526], Loss: 0.6786
Epoch [68/100], Step[521/526], Loss: 0.6513
Epoch [68/100], Step[522/526], Loss: 0.5957
Epoch [68/100], Step[523/526], Loss: 0.6467
Epoch [68/100], Step[524/526], Loss: 0.6251
Epoch [68/100], Step[525/526], Loss: 0.7539
Epoch [68/100], Step[526/526], Loss: 0.7210
Epoch [69/100], Step[1/526], Loss: 0.6525
Epoch [69/100], Step[2/526], Loss: 0.6381
Epoch [69/100], Step[3/526], Loss: 0.6707
Epoch [69/100], Step[4/526], Loss: 0.6287
Epoch [69/100], Step[5/526], Loss: 0.7424
Epoch [69/100], Step[6/526], Loss: 0.7626
Epoch [69/100], Step[7/526], Loss: 0.6961
Epoch [69/100], Step[8/526], Loss: 0.6783
Epoch [69/100], Step[9/526], Loss: 0.6999
Epoch [69/100], Step[10/526], Loss: 0.6477
Epoch [69/100], Step[11/526], Loss: 0.7138
Epoch [69/100], Step[12/526], Loss: 0.7539
Epoch [69/100], Step[13/526], Loss: 0.5951
Epoch [69/100], Step[14/526], Loss: 0.6395
Epoch [69/100], Step[15/526], Loss: 0.6861
Epoch [69/100], Step[16/526], Loss: 0.7004
Epoch [69/100], Step[17/526], Loss: 0.7118
Epoch [69/100], Step[18/526], Loss: 0.6854
Epoch [69/100], Step[19/526], Loss: 0.6934
Epoch [69/100], Step[20/526], Loss: 0.7560
Epoch [69/100], Step[21/526], Loss: 0.7585
Epoch [69/100], Step[22/526], Loss: 0.7363
Epoch [69/100], Step[23/526], Loss: 0.7363
Epoch [69/100], Step[24/526], Loss: 0.7166
Epoch [69/100], Step[25/526], Loss: 0.6921
Epoch [69/100], Step[26/526], Loss: 0.6032
Epoch [69/100], Step[27/526], Loss: 0.6692
Epoch [69/100], Step[28/526], Loss: 0.6874
Epoch [69/100], Step[29/526], Loss: 0.6450
Epoch [69/100], Step[30/526], Loss: 0.6948
Epoch [69/100], Step[31/526], Loss: 0.7048
Epoch [69/100], Step[32/526], Loss: 0.6611
Epoch [69/100], Step[33/526], Loss: 0.7205
Epoch [69/100], Step[34/526], Loss: 0.6967
Epoch [69/100], Step[35/526], Loss: 0.7108
Epoch [69/100], Step[36/526], Loss: 0.7033
Epoch [69/100], Step[37/526], Loss: 0.6886
Epoch [69/100], Step[38/526], Loss: 0.7072
Epoch [69/100], Step[39/526], Loss: 0.6902
Epoch [69/100], Step[40/526], Loss: 0.7056
Epoch [69/100], Step[41/526], Loss: 0.6783
Epoch [69/100], Step[42/526], Loss: 0.7200
Epoch [69/100], Step[43/526], Loss: 0.7218
Epoch [69/100], Step[44/526], Loss: 0.6838
Epoch [69/100], Step[45/526], Loss: 0.6755
Epoch [69/100], Step[46/526], Loss: 0.6912
Epoch [69/100], Step[47/526], Loss: 0.7295
Epoch [69/100], Step[48/526], Loss: 0.7266
Epoch [69/100], Step[49/526], Loss: 0.7022
Epoch [69/100], Step[50/526], Loss: 0.7045
Epoch [69/100], Step[51/526], Loss: 0.7000
Epoch [69/100], Step[52/526], Loss: 0.6628
Epoch [69/100], Step[53/526], Loss: 0.7039
Epoch [69/100], Step[54/526], Loss: 0.7081
Epoch [69/100], Step[55/526], Loss: 0.7042
Epoch [69/100], Step[56/526], Loss: 0.6932
Epoch [69/100], Step[57/526], Loss: 0.6733
Epoch [69/100], Step[58/526], Loss: 0.6737
Epoch [69/100], Step[59/526], Loss: 0.6450
Epoch [69/100], Step[60/526], Loss: 0.6685
Epoch [69/100], Step[61/526], Loss: 0.6555
Epoch [69/100], Step[62/526], Loss: 0.6898
Epoch [69/100], Step[63/526], Loss: 0.6885
Epoch [69/100], Step[64/526], Loss: 0.6787
Epoch [69/100], Step[65/526], Loss: 0.7211
Epoch [69/100], Step[66/526], Loss: 0.6847
Epoch [69/100], Step[67/526], Loss: 0.6406
Epoch [69/100], Step[68/526], Loss: 0.6391
Epoch [69/100], Step[69/526], Loss: 0.6968
Epoch [69/100], Step[70/526], Loss: 0.6989
Epoch [69/100], Step[71/526], Loss: 0.6764
Epoch [69/100], Step[72/526], Loss: 0.6748
Epoch [69/100], Step[73/526], Loss: 0.7179
Epoch [69/100], Step[74/526], Loss: 0.6454
Epoch [69/100], Step[75/526], Loss: 0.6947
Epoch [69/100], Step[76/526], Loss: 0.6643
Epoch [69/100], Step[77/526], Loss: 0.6965
Epoch [69/100], Step[78/526], Loss: 0.7126
Epoch [69/100], Step[79/526], Loss: 0.6791
Epoch [69/100], Step[80/526], Loss: 0.6804
Epoch [69/100], Step[81/526], Loss: 0.6851
Epoch [69/100], Step[82/526], Loss: 0.7099
Epoch [69/100], Step[83/526], Loss: 0.6910
Epoch [69/100], Step[84/526], Loss: 0.6722
Epoch [69/100], Step[85/526], Loss: 0.6446
Epoch [69/100], Step[86/526], Loss: 0.6992
Epoch [69/100], Step[87/526], Loss: 0.6804
Epoch [69/100], Step[88/526], Loss: 0.7051
Epoch [69/100], Step[89/526], Loss: 0.7198
Epoch [69/100], Step[90/526], Loss: 0.7070
Epoch [69/100], Step[91/526], Loss: 0.6697
Epoch [69/100], Step[92/526], Loss: 0.6591
Epoch [69/100], Step[93/526], Loss: 0.6873
Epoch [69/100], Step[94/526], Loss: 0.8103
Epoch [69/100], Step[95/526], Loss: 0.7188
Epoch [69/100], Step[96/526], Loss: 0.6156
Epoch [69/100], Step[97/526], Loss: 0.6012
Epoch [69/100], Step[98/526], Loss: 0.6760
Epoch [69/100], Step[99/526], Loss: 0.6912
Epoch [69/100], Step[100/526], Loss: 0.6612
Epoch [69/100], Step[101/526], Loss: 0.6511
Epoch [69/100], Step[102/526], Loss: 0.6384
Epoch [69/100], Step[103/526], Loss: 0.7281
Epoch [69/100], Step[104/526], Loss: 0.6660
Epoch [69/100], Step[105/526], Loss: 0.6548
Epoch [69/100], Step[106/526], Loss: 0.6854
Epoch [69/100], Step[107/526], Loss: 0.6225
Epoch [69/100], Step[108/526], Loss: 0.5687
Epoch [69/100], Step[109/526], Loss: 0.6764
Epoch [69/100], Step[110/526], Loss: 0.6729
Epoch [69/100], Step[111/526], Loss: 0.5932
Epoch [69/100], Step[112/526], Loss: 0.7240
Epoch [69/100], Step[113/526], Loss: 0.6086
Epoch [69/100], Step[114/526], Loss: 0.6668
Epoch [69/100], Step[115/526], Loss: 0.5918
Epoch [69/100], Step[116/526], Loss: 0.6232
Epoch [69/100], Step[117/526], Loss: 0.6610
Epoch [69/100], Step[118/526], Loss: 0.7550
Epoch [69/100], Step[119/526], Loss: 0.6747
Epoch [69/100], Step[120/526], Loss: 0.6646
Epoch [69/100], Step[121/526], Loss: 0.6793
Epoch [69/100], Step[122/526], Loss: 0.6196
Epoch [69/100], Step[123/526], Loss: 0.6516
Epoch [69/100], Step[124/526], Loss: 0.6708
Epoch [69/100], Step[125/526], Loss: 0.6447
Epoch [69/100], Step[126/526], Loss: 0.7168
Epoch [69/100], Step[127/526], Loss: 0.6765
Epoch [69/100], Step[128/526], Loss: 0.6509
Epoch [69/100], Step[129/526], Loss: 0.6104
Epoch [69/100], Step[130/526], Loss: 0.6284
Epoch [69/100], Step[131/526], Loss: 0.6463
Epoch [69/100], Step[132/526], Loss: 0.7199
Epoch [69/100], Step[133/526], Loss: 0.6908
Epoch [69/100], Step[134/526], Loss: 0.6322
Epoch [69/100], Step[135/526], Loss: 0.6370
Epoch [69/100], Step[136/526], Loss: 0.5596
Epoch [69/100], Step[137/526], Loss: 0.6403
Epoch [69/100], Step[138/526], Loss: 0.6503
Epoch [69/100], Step[139/526], Loss: 0.6936
Epoch [69/100], Step[140/526], Loss: 0.5914
Epoch [69/100], Step[141/526], Loss: 0.6708
Epoch [69/100], Step[142/526], Loss: 0.6663
Epoch [69/100], Step[143/526], Loss: 0.6848
Epoch [69/100], Step[144/526], Loss: 0.7847
Epoch [69/100], Step[145/526], Loss: 0.5197
Epoch [69/100], Step[146/526], Loss: 0.5026
Epoch [69/100], Step[147/526], Loss: 0.4629
Epoch [69/100], Step[148/526], Loss: 0.5961
Epoch [69/100], Step[149/526], Loss: 0.4608
Epoch [69/100], Step[150/526], Loss: 0.5487
Epoch [69/100], Step[151/526], Loss: 0.5390
Epoch [69/100], Step[152/526], Loss: 0.6206
Epoch [69/100], Step[153/526], Loss: 0.6248
Epoch [69/100], Step[154/526], Loss: 0.6773
Epoch [69/100], Step[155/526], Loss: 0.6776
Epoch [69/100], Step[156/526], Loss: 0.5398
Epoch [69/100], Step[157/526], Loss: 0.2623
Epoch [69/100], Step[158/526], Loss: 0.5975
Epoch [69/100], Step[159/526], Loss: 0.6500
Epoch [69/100], Step[160/526], Loss: 0.5449
Epoch [69/100], Step[161/526], Loss: 0.8799
Epoch [69/100], Step[162/526], Loss: 0.7034
Epoch [69/100], Step[163/526], Loss: 0.6911
Epoch [69/100], Step[164/526], Loss: 0.6245
Epoch [69/100], Step[165/526], Loss: 0.6905
Epoch [69/100], Step[166/526], Loss: 0.5234
Epoch [69/100], Step[167/526], Loss: 0.5554
Epoch [69/100], Step[168/526], Loss: 0.7330
Epoch [69/100], Step[169/526], Loss: 0.7485
Epoch [69/100], Step[170/526], Loss: 0.7308
Epoch [69/100], Step[171/526], Loss: 0.7343
Epoch [69/100], Step[172/526], Loss: 0.7183
Epoch [69/100], Step[173/526], Loss: 0.8325
Epoch [69/100], Step[174/526], Loss: 0.6325
Epoch [69/100], Step[175/526], Loss: 0.6449
Epoch [69/100], Step[176/526], Loss: 0.6723
Epoch [69/100], Step[177/526], Loss: 0.6613
Epoch [69/100], Step[178/526], Loss: 0.6979
Epoch [69/100], Step[179/526], Loss: 0.6353
Epoch [69/100], Step[180/526], Loss: 0.6195
Epoch [69/100], Step[181/526], Loss: 0.6585
Epoch [69/100], Step[182/526], Loss: 0.6823
Epoch [69/100], Step[183/526], Loss: 0.5501
Epoch [69/100], Step[184/526], Loss: 0.5698
Epoch [69/100], Step[185/526], Loss: 0.5815
Epoch [69/100], Step[186/526], Loss: 0.6346
Epoch [69/100], Step[187/526], Loss: 0.7577
Epoch [69/100], Step[188/526], Loss: 0.7537
Epoch [69/100], Step[189/526], Loss: 0.6803
Epoch [69/100], Step[190/526], Loss: 0.6615
Epoch [69/100], Step[191/526], Loss: 0.7241
Epoch [69/100], Step[192/526], Loss: 0.8292
Epoch [69/100], Step[193/526], Loss: 0.6274
Epoch [69/100], Step[194/526], Loss: 0.6287
Epoch [69/100], Step[195/526], Loss: 0.6232
Epoch [69/100], Step[196/526], Loss: 0.7050
Epoch [69/100], Step[197/526], Loss: 0.6399
Epoch [69/100], Step[198/526], Loss: 0.6072
Epoch [69/100], Step[199/526], Loss: 0.7339
Epoch [69/100], Step[200/526], Loss: 0.6594
Epoch [69/100], Step[201/526], Loss: 0.6890
Epoch [69/100], Step[202/526], Loss: 0.7785
Epoch [69/100], Step[203/526], Loss: 0.6635
Epoch [69/100], Step[204/526], Loss: 0.7790
Epoch [69/100], Step[205/526], Loss: 0.7126
Epoch [69/100], Step[206/526], Loss: 0.6928
Epoch [69/100], Step[207/526], Loss: 0.7183
Epoch [69/100], Step[208/526], Loss: 0.6927
Epoch [69/100], Step[209/526], Loss: 0.6972
Epoch [69/100], Step[210/526], Loss: 0.7911
Epoch [69/100], Step[211/526], Loss: 0.6244
Epoch [69/100], Step[212/526], Loss: 0.6875
Epoch [69/100], Step[213/526], Loss: 0.7265
Epoch [69/100], Step[214/526], Loss: 0.7423
Epoch [69/100], Step[215/526], Loss: 0.6947
Epoch [69/100], Step[216/526], Loss: 0.6787
Epoch [69/100], Step[217/526], Loss: 0.6703
Epoch [69/100], Step[218/526], Loss: 0.7006
Epoch [69/100], Step[219/526], Loss: 0.6898
Epoch [69/100], Step[220/526], Loss: 0.7392
Epoch [69/100], Step[221/526], Loss: 0.6932
Epoch [69/100], Step[222/526], Loss: 0.7599
Epoch [69/100], Step[223/526], Loss: 0.6719
Epoch [69/100], Step[224/526], Loss: 0.6743
Epoch [69/100], Step[225/526], Loss: 0.7353
Epoch [69/100], Step[226/526], Loss: 0.6694
Epoch [69/100], Step[227/526], Loss: 0.6576
Epoch [69/100], Step[228/526], Loss: 0.6479
Epoch [69/100], Step[229/526], Loss: 0.6736
Epoch [69/100], Step[230/526], Loss: 0.6571
Epoch [69/100], Step[231/526], Loss: 0.6651
Epoch [69/100], Step[232/526], Loss: 0.7151
Epoch [69/100], Step[233/526], Loss: 0.6797
Epoch [69/100], Step[234/526], Loss: 0.6617
Epoch [69/100], Step[235/526], Loss: 0.6965
Epoch [69/100], Step[236/526], Loss: 0.6951
Epoch [69/100], Step[237/526], Loss: 0.7178
Epoch [69/100], Step[238/526], Loss: 0.6792
Epoch [69/100], Step[239/526], Loss: 0.6629
Epoch [69/100], Step[240/526], Loss: 0.7241
Epoch [69/100], Step[241/526], Loss: 0.6888
Epoch [69/100], Step[242/526], Loss: 0.7090
Epoch [69/100], Step[243/526], Loss: 0.6177
Epoch [69/100], Step[244/526], Loss: 0.6263
Epoch [69/100], Step[245/526], Loss: 0.6296
Epoch [69/100], Step[246/526], Loss: 0.6559
Epoch [69/100], Step[247/526], Loss: 0.5996
Epoch [69/100], Step[248/526], Loss: 0.6540
Epoch [69/100], Step[249/526], Loss: 0.6585
Epoch [69/100], Step[250/526], Loss: 0.6741
Epoch [69/100], Step[251/526], Loss: 0.6939
Epoch [69/100], Step[252/526], Loss: 0.6872
Epoch [69/100], Step[253/526], Loss: 0.6198
Epoch [69/100], Step[254/526], Loss: 0.6683
Epoch [69/100], Step[255/526], Loss: 0.5744
Epoch [69/100], Step[256/526], Loss: 0.6814
Epoch [69/100], Step[257/526], Loss: 0.6466
Epoch [69/100], Step[258/526], Loss: 0.6219
Epoch [69/100], Step[259/526], Loss: 0.6890
Epoch [69/100], Step[260/526], Loss: 0.7757
Epoch [69/100], Step[261/526], Loss: 0.7825
Epoch [69/100], Step[262/526], Loss: 0.6762
Epoch [69/100], Step[263/526], Loss: 0.6576
Epoch [69/100], Step[264/526], Loss: 0.6210
Epoch [69/100], Step[265/526], Loss: 0.6200
Epoch [69/100], Step[266/526], Loss: 0.6310
Epoch [69/100], Step[267/526], Loss: 0.5139
Epoch [69/100], Step[268/526], Loss: 0.5449
Epoch [69/100], Step[269/526], Loss: 0.4364
Epoch [69/100], Step[270/526], Loss: 0.3679
Epoch [69/100], Step[271/526], Loss: 0.5080
Epoch [69/100], Step[272/526], Loss: 0.5104
Epoch [69/100], Step[273/526], Loss: 0.6471
Epoch [69/100], Step[274/526], Loss: 0.4232
Epoch [69/100], Step[275/526], Loss: 0.3848
Epoch [69/100], Step[276/526], Loss: 0.4801
Epoch [69/100], Step[277/526], Loss: 0.4055
Epoch [69/100], Step[278/526], Loss: 0.4459
Epoch [69/100], Step[279/526], Loss: 0.3993
Epoch [69/100], Step[280/526], Loss: 0.4353
Epoch [69/100], Step[281/526], Loss: 0.6267
Epoch [69/100], Step[282/526], Loss: 0.3564
Epoch [69/100], Step[283/526], Loss: 0.3746
Epoch [69/100], Step[284/526], Loss: 0.4075
Epoch [69/100], Step[285/526], Loss: 0.2757
Epoch [69/100], Step[286/526], Loss: 0.7031
Epoch [69/100], Step[287/526], Loss: 0.4810
Epoch [69/100], Step[288/526], Loss: 0.4194
Epoch [69/100], Step[289/526], Loss: 0.6159
Epoch [69/100], Step[290/526], Loss: 0.4345
Epoch [69/100], Step[291/526], Loss: 0.4886
Epoch [69/100], Step[292/526], Loss: 0.2772
Epoch [69/100], Step[293/526], Loss: 0.3040
Epoch [69/100], Step[294/526], Loss: 0.3212
Epoch [69/100], Step[295/526], Loss: 0.4125
Epoch [69/100], Step[296/526], Loss: 0.6074
Epoch [69/100], Step[297/526], Loss: 0.3173
Epoch [69/100], Step[298/526], Loss: 0.2732
Epoch [69/100], Step[299/526], Loss: 0.2377
Epoch [69/100], Step[300/526], Loss: 0.2742
Epoch [69/100], Step[301/526], Loss: 0.6279
Epoch [69/100], Step[302/526], Loss: 0.3412
Epoch [69/100], Step[303/526], Loss: 0.4707
Epoch [69/100], Step[304/526], Loss: 0.2440
Epoch [69/100], Step[305/526], Loss: 0.2545
Epoch [69/100], Step[306/526], Loss: 0.5859
Epoch [69/100], Step[307/526], Loss: 0.9020
Epoch [69/100], Step[308/526], Loss: 1.3516
Epoch [69/100], Step[309/526], Loss: 0.9207
Epoch [69/100], Step[310/526], Loss: 0.9696
Epoch [69/100], Step[311/526], Loss: 0.8402
Epoch [69/100], Step[312/526], Loss: 0.4879
Epoch [69/100], Step[313/526], Loss: 0.4624
Epoch [69/100], Step[314/526], Loss: 0.6195
Epoch [69/100], Step[315/526], Loss: 0.7079
Epoch [69/100], Step[316/526], Loss: 0.4936
Epoch [69/100], Step[317/526], Loss: 0.3299
Epoch [69/100], Step[318/526], Loss: 0.7575
Epoch [69/100], Step[319/526], Loss: 0.3689
Epoch [69/100], Step[320/526], Loss: 0.6332
Epoch [69/100], Step[321/526], Loss: 0.7186
Epoch [69/100], Step[322/526], Loss: 0.2741
Epoch [69/100], Step[323/526], Loss: 0.6135
Epoch [69/100], Step[324/526], Loss: 0.6401
Epoch [69/100], Step[325/526], Loss: 0.5723
Epoch [69/100], Step[326/526], Loss: 0.7478
Epoch [69/100], Step[327/526], Loss: 0.7529
Epoch [69/100], Step[328/526], Loss: 0.9298
Epoch [69/100], Step[329/526], Loss: 1.2725
Epoch [69/100], Step[330/526], Loss: 1.0318
Epoch [69/100], Step[331/526], Loss: 0.7722
Epoch [69/100], Step[332/526], Loss: 0.8158
Epoch [69/100], Step[333/526], Loss: 0.7483
Epoch [69/100], Step[334/526], Loss: 0.7558
Epoch [69/100], Step[335/526], Loss: 0.7768
Epoch [69/100], Step[336/526], Loss: 0.6984
Epoch [69/100], Step[337/526], Loss: 0.5879
Epoch [69/100], Step[338/526], Loss: 0.7088
Epoch [69/100], Step[339/526], Loss: 0.6435
Epoch [69/100], Step[340/526], Loss: 0.7235
Epoch [69/100], Step[341/526], Loss: 0.7572
Epoch [69/100], Step[342/526], Loss: 0.7594
Epoch [69/100], Step[343/526], Loss: 0.5354
Epoch [69/100], Step[344/526], Loss: 0.7173
Epoch [69/100], Step[345/526], Loss: 0.6709
Epoch [69/100], Step[346/526], Loss: 0.6668
Epoch [69/100], Step[347/526], Loss: 0.7150
Epoch [69/100], Step[348/526], Loss: 0.6219
Epoch [69/100], Step[349/526], Loss: 0.5724
Epoch [69/100], Step[350/526], Loss: 0.6639
Epoch [69/100], Step[351/526], Loss: 0.7022
Epoch [69/100], Step[352/526], Loss: 0.6133
Epoch [69/100], Step[353/526], Loss: 0.6766
Epoch [69/100], Step[354/526], Loss: 0.6659
Epoch [69/100], Step[355/526], Loss: 0.6650
Epoch [69/100], Step[356/526], Loss: 0.6945
Epoch [69/100], Step[357/526], Loss: 0.6609
Epoch [69/100], Step[358/526], Loss: 0.6939
Epoch [69/100], Step[359/526], Loss: 0.6382
Epoch [69/100], Step[360/526], Loss: 0.6876
Epoch [69/100], Step[361/526], Loss: 0.7275
Epoch [69/100], Step[362/526], Loss: 0.7065
Epoch [69/100], Step[363/526], Loss: 0.6945
Epoch [69/100], Step[364/526], Loss: 0.7268
Epoch [69/100], Step[365/526], Loss: 0.7248
Epoch [69/100], Step[366/526], Loss: 0.6801
Epoch [69/100], Step[367/526], Loss: 0.6887
Epoch [69/100], Step[368/526], Loss: 0.6501
Epoch [69/100], Step[369/526], Loss: 0.6546
Epoch [69/100], Step[370/526], Loss: 0.5623
Epoch [69/100], Step[371/526], Loss: 0.7402
Epoch [69/100], Step[372/526], Loss: 0.6339
Epoch [69/100], Step[373/526], Loss: 0.6812
Epoch [69/100], Step[374/526], Loss: 0.7105
Epoch [69/100], Step[375/526], Loss: 0.6461
Epoch [69/100], Step[376/526], Loss: 0.6456
Epoch [69/100], Step[377/526], Loss: 0.6974
Epoch [69/100], Step[378/526], Loss: 0.6848
Epoch [69/100], Step[379/526], Loss: 0.7599
Epoch [69/100], Step[380/526], Loss: 0.6060
Epoch [69/100], Step[381/526], Loss: 0.5926
Epoch [69/100], Step[382/526], Loss: 0.6768
Epoch [69/100], Step[383/526], Loss: 0.7022
Epoch [69/100], Step[384/526], Loss: 0.6340
Epoch [69/100], Step[385/526], Loss: 0.6185
Epoch [69/100], Step[386/526], Loss: 0.6748
Epoch [69/100], Step[387/526], Loss: 0.6600
Epoch [69/100], Step[388/526], Loss: 0.5933
Epoch [69/100], Step[389/526], Loss: 0.7256
Epoch [69/100], Step[390/526], Loss: 0.5806
Epoch [69/100], Step[391/526], Loss: 0.6535
Epoch [69/100], Step[392/526], Loss: 0.7054
Epoch [69/100], Step[393/526], Loss: 0.5826
Epoch [69/100], Step[394/526], Loss: 0.5122
Epoch [69/100], Step[395/526], Loss: 0.5910
Epoch [69/100], Step[396/526], Loss: 0.6237
Epoch [69/100], Step[397/526], Loss: 0.4660
Epoch [69/100], Step[398/526], Loss: 0.6041
Epoch [69/100], Step[399/526], Loss: 0.6548
Epoch [69/100], Step[400/526], Loss: 0.4745
Epoch [69/100], Step[401/526], Loss: 0.6033
Epoch [69/100], Step[402/526], Loss: 0.6456
Epoch [69/100], Step[403/526], Loss: 0.7369
Epoch [69/100], Step[404/526], Loss: 0.4793
Epoch [69/100], Step[405/526], Loss: 0.5022
Epoch [69/100], Step[406/526], Loss: 0.6310
Epoch [69/100], Step[407/526], Loss: 0.7573
Epoch [69/100], Step[408/526], Loss: 0.6499
Epoch [69/100], Step[409/526], Loss: 0.4822
Epoch [69/100], Step[410/526], Loss: 0.4938
Epoch [69/100], Step[411/526], Loss: 0.5388
Epoch [69/100], Step[412/526], Loss: 0.5965
Epoch [69/100], Step[413/526], Loss: 0.6070
Epoch [69/100], Step[414/526], Loss: 0.6450
Epoch [69/100], Step[415/526], Loss: 0.6006
Epoch [69/100], Step[416/526], Loss: 0.5536
Epoch [69/100], Step[417/526], Loss: 0.4588
Epoch [69/100], Step[418/526], Loss: 0.7379
Epoch [69/100], Step[419/526], Loss: 0.6921
Epoch [69/100], Step[420/526], Loss: 0.6818
Epoch [69/100], Step[421/526], Loss: 0.6508
Epoch [69/100], Step[422/526], Loss: 0.7632
Epoch [69/100], Step[423/526], Loss: 0.6876
Epoch [69/100], Step[424/526], Loss: 0.7457
Epoch [69/100], Step[425/526], Loss: 0.6989
Epoch [69/100], Step[426/526], Loss: 0.7582
Epoch [69/100], Step[427/526], Loss: 0.7058
Epoch [69/100], Step[428/526], Loss: 0.7155
Epoch [69/100], Step[429/526], Loss: 0.7324
Epoch [69/100], Step[430/526], Loss: 0.7907
Epoch [69/100], Step[431/526], Loss: 0.7053
Epoch [69/100], Step[432/526], Loss: 0.7283
Epoch [69/100], Step[433/526], Loss: 0.6715
Epoch [69/100], Step[434/526], Loss: 0.6082
Epoch [69/100], Step[435/526], Loss: 0.7785
Epoch [69/100], Step[436/526], Loss: 0.8059
Epoch [69/100], Step[437/526], Loss: 0.4935
Epoch [69/100], Step[438/526], Loss: 0.3600
Epoch [69/100], Step[439/526], Loss: 0.7205
Epoch [69/100], Step[440/526], Loss: 0.6811
Epoch [69/100], Step[441/526], Loss: 0.7038
Epoch [69/100], Step[442/526], Loss: 0.6422
Epoch [69/100], Step[443/526], Loss: 0.6719
Epoch [69/100], Step[444/526], Loss: 0.7526
Epoch [69/100], Step[445/526], Loss: 0.7042
Epoch [69/100], Step[446/526], Loss: 0.7142
Epoch [69/100], Step[447/526], Loss: 0.7210
Epoch [69/100], Step[448/526], Loss: 0.7163
Epoch [69/100], Step[449/526], Loss: 0.6739
Epoch [69/100], Step[450/526], Loss: 0.6005
Epoch [69/100], Step[451/526], Loss: 0.6649
Epoch [69/100], Step[452/526], Loss: 0.7256
Epoch [69/100], Step[453/526], Loss: 0.7123
Epoch [69/100], Step[454/526], Loss: 0.8363
Epoch [69/100], Step[455/526], Loss: 0.6534
Epoch [69/100], Step[456/526], Loss: 0.6430
Epoch [69/100], Step[457/526], Loss: 0.6977
Epoch [69/100], Step[458/526], Loss: 0.6922
Epoch [69/100], Step[459/526], Loss: 0.6598
Epoch [69/100], Step[460/526], Loss: 0.6453
Epoch [69/100], Step[461/526], Loss: 0.6117
Epoch [69/100], Step[462/526], Loss: 0.6660
Epoch [69/100], Step[463/526], Loss: 0.6527
Epoch [69/100], Step[464/526], Loss: 0.6293
Epoch [69/100], Step[465/526], Loss: 0.6586
Epoch [69/100], Step[466/526], Loss: 0.6699
Epoch [69/100], Step[467/526], Loss: 0.6504
Epoch [69/100], Step[468/526], Loss: 0.6126
Epoch [69/100], Step[469/526], Loss: 0.8125
Epoch [69/100], Step[470/526], Loss: 0.6605
Epoch [69/100], Step[471/526], Loss: 0.6934
Epoch [69/100], Step[472/526], Loss: 0.6796
Epoch [69/100], Step[473/526], Loss: 0.6798
Epoch [69/100], Step[474/526], Loss: 0.6789
Epoch [69/100], Step[475/526], Loss: 0.8374
Epoch [69/100], Step[476/526], Loss: 0.7381
Epoch [69/100], Step[477/526], Loss: 0.7079
Epoch [69/100], Step[478/526], Loss: 0.6827
Epoch [69/100], Step[479/526], Loss: 0.6579
Epoch [69/100], Step[480/526], Loss: 0.7379
Epoch [69/100], Step[481/526], Loss: 0.7314
Epoch [69/100], Step[482/526], Loss: 0.6208
Epoch [69/100], Step[483/526], Loss: 0.5368
Epoch [69/100], Step[484/526], Loss: 0.7072
Epoch [69/100], Step[485/526], Loss: 0.7657
Epoch [69/100], Step[486/526], Loss: 0.7276
Epoch [69/100], Step[487/526], Loss: 0.7499
Epoch [69/100], Step[488/526], Loss: 0.6876
Epoch [69/100], Step[489/526], Loss: 0.6091
Epoch [69/100], Step[490/526], Loss: 0.6139
Epoch [69/100], Step[491/526], Loss: 0.6974
Epoch [69/100], Step[492/526], Loss: 0.6450
Epoch [69/100], Step[493/526], Loss: 0.6363
Epoch [69/100], Step[494/526], Loss: 0.6624
Epoch [69/100], Step[495/526], Loss: 0.6829
Epoch [69/100], Step[496/526], Loss: 0.6645
Epoch [69/100], Step[497/526], Loss: 0.6340
Epoch [69/100], Step[498/526], Loss: 0.6647
Epoch [69/100], Step[499/526], Loss: 0.6678
Epoch [69/100], Step[500/526], Loss: 0.6972
Epoch [69/100], Step[501/526], Loss: 0.6502
Epoch [69/100], Step[502/526], Loss: 0.6966
Epoch [69/100], Step[503/526], Loss: 0.7124
Epoch [69/100], Step[504/526], Loss: 0.7059
Epoch [69/100], Step[505/526], Loss: 0.7092
Epoch [69/100], Step[506/526], Loss: 0.6576
Epoch [69/100], Step[507/526], Loss: 0.6727
Epoch [69/100], Step[508/526], Loss: 0.6942
Epoch [69/100], Step[509/526], Loss: 0.6383
Epoch [69/100], Step[510/526], Loss: 0.7015
Epoch [69/100], Step[511/526], Loss: 0.6404
Epoch [69/100], Step[512/526], Loss: 0.6708
Epoch [69/100], Step[513/526], Loss: 0.6433
Epoch [69/100], Step[514/526], Loss: 0.6535
Epoch [69/100], Step[515/526], Loss: 0.5736
Epoch [69/100], Step[516/526], Loss: 0.7517
Epoch [69/100], Step[517/526], Loss: 0.6927
Epoch [69/100], Step[518/526], Loss: 0.7302
Epoch [69/100], Step[519/526], Loss: 0.7191
Epoch [69/100], Step[520/526], Loss: 0.6786
Epoch [69/100], Step[521/526], Loss: 0.6547
Epoch [69/100], Step[522/526], Loss: 0.5952
Epoch [69/100], Step[523/526], Loss: 0.6457
Epoch [69/100], Step[524/526], Loss: 0.6250
Epoch [69/100], Step[525/526], Loss: 0.7564
Epoch [69/100], Step[526/526], Loss: 0.7165
Epoch [70/100], Step[1/526], Loss: 0.6519
Epoch [70/100], Step[2/526], Loss: 0.6370
Epoch [70/100], Step[3/526], Loss: 0.6711
Epoch [70/100], Step[4/526], Loss: 0.6297
Epoch [70/100], Step[5/526], Loss: 0.7458
Epoch [70/100], Step[6/526], Loss: 0.7611
Epoch [70/100], Step[7/526], Loss: 0.6988
Epoch [70/100], Step[8/526], Loss: 0.6787
Epoch [70/100], Step[9/526], Loss: 0.7012
Epoch [70/100], Step[10/526], Loss: 0.6515
Epoch [70/100], Step[11/526], Loss: 0.7096
Epoch [70/100], Step[12/526], Loss: 0.7530
Epoch [70/100], Step[13/526], Loss: 0.5972
Epoch [70/100], Step[14/526], Loss: 0.6407
Epoch [70/100], Step[15/526], Loss: 0.6858
Epoch [70/100], Step[16/526], Loss: 0.7021
Epoch [70/100], Step[17/526], Loss: 0.7122
Epoch [70/100], Step[18/526], Loss: 0.6657
Epoch [70/100], Step[19/526], Loss: 0.6909
Epoch [70/100], Step[20/526], Loss: 0.7510
Epoch [70/100], Step[21/526], Loss: 0.7560
Epoch [70/100], Step[22/526], Loss: 0.7343
Epoch [70/100], Step[23/526], Loss: 0.7407
Epoch [70/100], Step[24/526], Loss: 0.7149
Epoch [70/100], Step[25/526], Loss: 0.6924
Epoch [70/100], Step[26/526], Loss: 0.6070
Epoch [70/100], Step[27/526], Loss: 0.6693
Epoch [70/100], Step[28/526], Loss: 0.6846
Epoch [70/100], Step[29/526], Loss: 0.6453
Epoch [70/100], Step[30/526], Loss: 0.6927
Epoch [70/100], Step[31/526], Loss: 0.7058
Epoch [70/100], Step[32/526], Loss: 0.6613
Epoch [70/100], Step[33/526], Loss: 0.7202
Epoch [70/100], Step[34/526], Loss: 0.6981
Epoch [70/100], Step[35/526], Loss: 0.7126
Epoch [70/100], Step[36/526], Loss: 0.7051
Epoch [70/100], Step[37/526], Loss: 0.6891
Epoch [70/100], Step[38/526], Loss: 0.7078
Epoch [70/100], Step[39/526], Loss: 0.6901
Epoch [70/100], Step[40/526], Loss: 0.7062
Epoch [70/100], Step[41/526], Loss: 0.6733
Epoch [70/100], Step[42/526], Loss: 0.7229
Epoch [70/100], Step[43/526], Loss: 0.7206
Epoch [70/100], Step[44/526], Loss: 0.6864
Epoch [70/100], Step[45/526], Loss: 0.6783
Epoch [70/100], Step[46/526], Loss: 0.6945
Epoch [70/100], Step[47/526], Loss: 0.7195
Epoch [70/100], Step[48/526], Loss: 0.7248
Epoch [70/100], Step[49/526], Loss: 0.7012
Epoch [70/100], Step[50/526], Loss: 0.7064
Epoch [70/100], Step[51/526], Loss: 0.6989
Epoch [70/100], Step[52/526], Loss: 0.6679
Epoch [70/100], Step[53/526], Loss: 0.7076
Epoch [70/100], Step[54/526], Loss: 0.7072
Epoch [70/100], Step[55/526], Loss: 0.7050
Epoch [70/100], Step[56/526], Loss: 0.6913
Epoch [70/100], Step[57/526], Loss: 0.6757
Epoch [70/100], Step[58/526], Loss: 0.6733
Epoch [70/100], Step[59/526], Loss: 0.6482
Epoch [70/100], Step[60/526], Loss: 0.6691
Epoch [70/100], Step[61/526], Loss: 0.6570
Epoch [70/100], Step[62/526], Loss: 0.6902
Epoch [70/100], Step[63/526], Loss: 0.6887
Epoch [70/100], Step[64/526], Loss: 0.6762
Epoch [70/100], Step[65/526], Loss: 0.7206
Epoch [70/100], Step[66/526], Loss: 0.6830
Epoch [70/100], Step[67/526], Loss: 0.6401
Epoch [70/100], Step[68/526], Loss: 0.6419
Epoch [70/100], Step[69/526], Loss: 0.6960
Epoch [70/100], Step[70/526], Loss: 0.6997
Epoch [70/100], Step[71/526], Loss: 0.6755
Epoch [70/100], Step[72/526], Loss: 0.6735
Epoch [70/100], Step[73/526], Loss: 0.7180
Epoch [70/100], Step[74/526], Loss: 0.6452
Epoch [70/100], Step[75/526], Loss: 0.6956
Epoch [70/100], Step[76/526], Loss: 0.6621
Epoch [70/100], Step[77/526], Loss: 0.6955
Epoch [70/100], Step[78/526], Loss: 0.7125
Epoch [70/100], Step[79/526], Loss: 0.6752
Epoch [70/100], Step[80/526], Loss: 0.6766
Epoch [70/100], Step[81/526], Loss: 0.6803
Epoch [70/100], Step[82/526], Loss: 0.7012
Epoch [70/100], Step[83/526], Loss: 0.6927
Epoch [70/100], Step[84/526], Loss: 0.6673
Epoch [70/100], Step[85/526], Loss: 0.6445
Epoch [70/100], Step[86/526], Loss: 0.7103
Epoch [70/100], Step[87/526], Loss: 0.6761
Epoch [70/100], Step[88/526], Loss: 0.7113
Epoch [70/100], Step[89/526], Loss: 0.7303
Epoch [70/100], Step[90/526], Loss: 0.7212
Epoch [70/100], Step[91/526], Loss: 0.6734
Epoch [70/100], Step[92/526], Loss: 0.6663
Epoch [70/100], Step[93/526], Loss: 0.6884
Epoch [70/100], Step[94/526], Loss: 0.8126
Epoch [70/100], Step[95/526], Loss: 0.7182
Epoch [70/100], Step[96/526], Loss: 0.6131
Epoch [70/100], Step[97/526], Loss: 0.6016
Epoch [70/100], Step[98/526], Loss: 0.6734
Epoch [70/100], Step[99/526], Loss: 0.6917
Epoch [70/100], Step[100/526], Loss: 0.6605
Epoch [70/100], Step[101/526], Loss: 0.6530
Epoch [70/100], Step[102/526], Loss: 0.6414
Epoch [70/100], Step[103/526], Loss: 0.7323
Epoch [70/100], Step[104/526], Loss: 0.6702
Epoch [70/100], Step[105/526], Loss: 0.6521
Epoch [70/100], Step[106/526], Loss: 0.6830
Epoch [70/100], Step[107/526], Loss: 0.6197
Epoch [70/100], Step[108/526], Loss: 0.5696
Epoch [70/100], Step[109/526], Loss: 0.6732
Epoch [70/100], Step[110/526], Loss: 0.6715
Epoch [70/100], Step[111/526], Loss: 0.5989
Epoch [70/100], Step[112/526], Loss: 0.7211
Epoch [70/100], Step[113/526], Loss: 0.6100
Epoch [70/100], Step[114/526], Loss: 0.6686
Epoch [70/100], Step[115/526], Loss: 0.5946
Epoch [70/100], Step[116/526], Loss: 0.6227
Epoch [70/100], Step[117/526], Loss: 0.6654
Epoch [70/100], Step[118/526], Loss: 0.7542
Epoch [70/100], Step[119/526], Loss: 0.6732
Epoch [70/100], Step[120/526], Loss: 0.6632
Epoch [70/100], Step[121/526], Loss: 0.6788
Epoch [70/100], Step[122/526], Loss: 0.6200
Epoch [70/100], Step[123/526], Loss: 0.6531
Epoch [70/100], Step[124/526], Loss: 0.6705
Epoch [70/100], Step[125/526], Loss: 0.6444
Epoch [70/100], Step[126/526], Loss: 0.7169
Epoch [70/100], Step[127/526], Loss: 0.6748
Epoch [70/100], Step[128/526], Loss: 0.6510
Epoch [70/100], Step[129/526], Loss: 0.6130
Epoch [70/100], Step[130/526], Loss: 0.6343
Epoch [70/100], Step[131/526], Loss: 0.6476
Epoch [70/100], Step[132/526], Loss: 0.7213
Epoch [70/100], Step[133/526], Loss: 0.6915
Epoch [70/100], Step[134/526], Loss: 0.6322
Epoch [70/100], Step[135/526], Loss: 0.6350
Epoch [70/100], Step[136/526], Loss: 0.5585
Epoch [70/100], Step[137/526], Loss: 0.6342
Epoch [70/100], Step[138/526], Loss: 0.6500
Epoch [70/100], Step[139/526], Loss: 0.6909
Epoch [70/100], Step[140/526], Loss: 0.5944
Epoch [70/100], Step[141/526], Loss: 0.6748
Epoch [70/100], Step[142/526], Loss: 0.6648
Epoch [70/100], Step[143/526], Loss: 0.6736
Epoch [70/100], Step[144/526], Loss: 0.7861
Epoch [70/100], Step[145/526], Loss: 0.5183
Epoch [70/100], Step[146/526], Loss: 0.5039
Epoch [70/100], Step[147/526], Loss: 0.4728
Epoch [70/100], Step[148/526], Loss: 0.5983
Epoch [70/100], Step[149/526], Loss: 0.4666
Epoch [70/100], Step[150/526], Loss: 0.5492
Epoch [70/100], Step[151/526], Loss: 0.5378
Epoch [70/100], Step[152/526], Loss: 0.6239
Epoch [70/100], Step[153/526], Loss: 0.6251
Epoch [70/100], Step[154/526], Loss: 0.6687
Epoch [70/100], Step[155/526], Loss: 0.6590
Epoch [70/100], Step[156/526], Loss: 0.5518
Epoch [70/100], Step[157/526], Loss: 0.2613
Epoch [70/100], Step[158/526], Loss: 0.5957
Epoch [70/100], Step[159/526], Loss: 0.6439
Epoch [70/100], Step[160/526], Loss: 0.5397
Epoch [70/100], Step[161/526], Loss: 0.8804
Epoch [70/100], Step[162/526], Loss: 0.7019
Epoch [70/100], Step[163/526], Loss: 0.6799
Epoch [70/100], Step[164/526], Loss: 0.6500
Epoch [70/100], Step[165/526], Loss: 0.6781
Epoch [70/100], Step[166/526], Loss: 0.5117
Epoch [70/100], Step[167/526], Loss: 0.5371
Epoch [70/100], Step[168/526], Loss: 0.7471
Epoch [70/100], Step[169/526], Loss: 0.7604
Epoch [70/100], Step[170/526], Loss: 0.7522
Epoch [70/100], Step[171/526], Loss: 0.7331
Epoch [70/100], Step[172/526], Loss: 0.7205
Epoch [70/100], Step[173/526], Loss: 0.8303
Epoch [70/100], Step[174/526], Loss: 0.6282
Epoch [70/100], Step[175/526], Loss: 0.6366
Epoch [70/100], Step[176/526], Loss: 0.6727
Epoch [70/100], Step[177/526], Loss: 0.6697
Epoch [70/100], Step[178/526], Loss: 0.6975
Epoch [70/100], Step[179/526], Loss: 0.6399
Epoch [70/100], Step[180/526], Loss: 0.6233
Epoch [70/100], Step[181/526], Loss: 0.6552
Epoch [70/100], Step[182/526], Loss: 0.6886
Epoch [70/100], Step[183/526], Loss: 0.5469
Epoch [70/100], Step[184/526], Loss: 0.5670
Epoch [70/100], Step[185/526], Loss: 0.5793
Epoch [70/100], Step[186/526], Loss: 0.6376
Epoch [70/100], Step[187/526], Loss: 0.7552
Epoch [70/100], Step[188/526], Loss: 0.7517
Epoch [70/100], Step[189/526], Loss: 0.6781
Epoch [70/100], Step[190/526], Loss: 0.6473
Epoch [70/100], Step[191/526], Loss: 0.7161
Epoch [70/100], Step[192/526], Loss: 0.7961
Epoch [70/100], Step[193/526], Loss: 0.6250
Epoch [70/100], Step[194/526], Loss: 0.6270
Epoch [70/100], Step[195/526], Loss: 0.6226
Epoch [70/100], Step[196/526], Loss: 0.7056
Epoch [70/100], Step[197/526], Loss: 0.6372
Epoch [70/100], Step[198/526], Loss: 0.6045
Epoch [70/100], Step[199/526], Loss: 0.7249
Epoch [70/100], Step[200/526], Loss: 0.6545
Epoch [70/100], Step[201/526], Loss: 0.6853
Epoch [70/100], Step[202/526], Loss: 0.7803
Epoch [70/100], Step[203/526], Loss: 0.6611
Epoch [70/100], Step[204/526], Loss: 0.7815
Epoch [70/100], Step[205/526], Loss: 0.7156
Epoch [70/100], Step[206/526], Loss: 0.6924
Epoch [70/100], Step[207/526], Loss: 0.7163
Epoch [70/100], Step[208/526], Loss: 0.6967
Epoch [70/100], Step[209/526], Loss: 0.7028
Epoch [70/100], Step[210/526], Loss: 0.7966
Epoch [70/100], Step[211/526], Loss: 0.6237
Epoch [70/100], Step[212/526], Loss: 0.6927
Epoch [70/100], Step[213/526], Loss: 0.7271
Epoch [70/100], Step[214/526], Loss: 0.7393
Epoch [70/100], Step[215/526], Loss: 0.6962
Epoch [70/100], Step[216/526], Loss: 0.6781
Epoch [70/100], Step[217/526], Loss: 0.6713
Epoch [70/100], Step[218/526], Loss: 0.6990
Epoch [70/100], Step[219/526], Loss: 0.6905
Epoch [70/100], Step[220/526], Loss: 0.7394
Epoch [70/100], Step[221/526], Loss: 0.6962
Epoch [70/100], Step[222/526], Loss: 0.7617
Epoch [70/100], Step[223/526], Loss: 0.6689
Epoch [70/100], Step[224/526], Loss: 0.6700
Epoch [70/100], Step[225/526], Loss: 0.7358
Epoch [70/100], Step[226/526], Loss: 0.6648
Epoch [70/100], Step[227/526], Loss: 0.6576
Epoch [70/100], Step[228/526], Loss: 0.6471
Epoch [70/100], Step[229/526], Loss: 0.6742
Epoch [70/100], Step[230/526], Loss: 0.6571
Epoch [70/100], Step[231/526], Loss: 0.6648
Epoch [70/100], Step[232/526], Loss: 0.7111
Epoch [70/100], Step[233/526], Loss: 0.6786
Epoch [70/100], Step[234/526], Loss: 0.6597
Epoch [70/100], Step[235/526], Loss: 0.6961
Epoch [70/100], Step[236/526], Loss: 0.6952
Epoch [70/100], Step[237/526], Loss: 0.7169
Epoch [70/100], Step[238/526], Loss: 0.6727
Epoch [70/100], Step[239/526], Loss: 0.6600
Epoch [70/100], Step[240/526], Loss: 0.7225
Epoch [70/100], Step[241/526], Loss: 0.6881
Epoch [70/100], Step[242/526], Loss: 0.7073
Epoch [70/100], Step[243/526], Loss: 0.5995
Epoch [70/100], Step[244/526], Loss: 0.6180
Epoch [70/100], Step[245/526], Loss: 0.6261
Epoch [70/100], Step[246/526], Loss: 0.6555
Epoch [70/100], Step[247/526], Loss: 0.5885
Epoch [70/100], Step[248/526], Loss: 0.6431
Epoch [70/100], Step[249/526], Loss: 0.6653
Epoch [70/100], Step[250/526], Loss: 0.6739
Epoch [70/100], Step[251/526], Loss: 0.6797
Epoch [70/100], Step[252/526], Loss: 0.6845
Epoch [70/100], Step[253/526], Loss: 0.6118
Epoch [70/100], Step[254/526], Loss: 0.6619
Epoch [70/100], Step[255/526], Loss: 0.5654
Epoch [70/100], Step[256/526], Loss: 0.6795
Epoch [70/100], Step[257/526], Loss: 0.6432
Epoch [70/100], Step[258/526], Loss: 0.6165
Epoch [70/100], Step[259/526], Loss: 0.6921
Epoch [70/100], Step[260/526], Loss: 0.7856
Epoch [70/100], Step[261/526], Loss: 0.7977
Epoch [70/100], Step[262/526], Loss: 0.6722
Epoch [70/100], Step[263/526], Loss: 0.6585
Epoch [70/100], Step[264/526], Loss: 0.6213
Epoch [70/100], Step[265/526], Loss: 0.6113
Epoch [70/100], Step[266/526], Loss: 0.6241
Epoch [70/100], Step[267/526], Loss: 0.5122
Epoch [70/100], Step[268/526], Loss: 0.5451
Epoch [70/100], Step[269/526], Loss: 0.4286
Epoch [70/100], Step[270/526], Loss: 0.3677
Epoch [70/100], Step[271/526], Loss: 0.5109
Epoch [70/100], Step[272/526], Loss: 0.5081
Epoch [70/100], Step[273/526], Loss: 0.6478
Epoch [70/100], Step[274/526], Loss: 0.4257
Epoch [70/100], Step[275/526], Loss: 0.3761
Epoch [70/100], Step[276/526], Loss: 0.4822
Epoch [70/100], Step[277/526], Loss: 0.3931
Epoch [70/100], Step[278/526], Loss: 0.4407
Epoch [70/100], Step[279/526], Loss: 0.3950
Epoch [70/100], Step[280/526], Loss: 0.4346
Epoch [70/100], Step[281/526], Loss: 0.6382
Epoch [70/100], Step[282/526], Loss: 0.3640
Epoch [70/100], Step[283/526], Loss: 0.3813
Epoch [70/100], Step[284/526], Loss: 0.4053
Epoch [70/100], Step[285/526], Loss: 0.2792
Epoch [70/100], Step[286/526], Loss: 0.7089
Epoch [70/100], Step[287/526], Loss: 0.4955
Epoch [70/100], Step[288/526], Loss: 0.4054
Epoch [70/100], Step[289/526], Loss: 0.6091
Epoch [70/100], Step[290/526], Loss: 0.4360
Epoch [70/100], Step[291/526], Loss: 0.4965
Epoch [70/100], Step[292/526], Loss: 0.2722
Epoch [70/100], Step[293/526], Loss: 0.3046
Epoch [70/100], Step[294/526], Loss: 0.3201
Epoch [70/100], Step[295/526], Loss: 0.4005
Epoch [70/100], Step[296/526], Loss: 0.6004
Epoch [70/100], Step[297/526], Loss: 0.3104
Epoch [70/100], Step[298/526], Loss: 0.2779
Epoch [70/100], Step[299/526], Loss: 0.2290
Epoch [70/100], Step[300/526], Loss: 0.2644
Epoch [70/100], Step[301/526], Loss: 0.6262
Epoch [70/100], Step[302/526], Loss: 0.3489
Epoch [70/100], Step[303/526], Loss: 0.4641
Epoch [70/100], Step[304/526], Loss: 0.2432
Epoch [70/100], Step[305/526], Loss: 0.2452
Epoch [70/100], Step[306/526], Loss: 0.5997
Epoch [70/100], Step[307/526], Loss: 0.8971
Epoch [70/100], Step[308/526], Loss: 1.3761
Epoch [70/100], Step[309/526], Loss: 0.9539
Epoch [70/100], Step[310/526], Loss: 0.9882
Epoch [70/100], Step[311/526], Loss: 0.8461
Epoch [70/100], Step[312/526], Loss: 0.4933
Epoch [70/100], Step[313/526], Loss: 0.4418
Epoch [70/100], Step[314/526], Loss: 0.5923
Epoch [70/100], Step[315/526], Loss: 0.6912
Epoch [70/100], Step[316/526], Loss: 0.4935
Epoch [70/100], Step[317/526], Loss: 0.3310
Epoch [70/100], Step[318/526], Loss: 0.7406
Epoch [70/100], Step[319/526], Loss: 0.3765
Epoch [70/100], Step[320/526], Loss: 0.6245
Epoch [70/100], Step[321/526], Loss: 0.7334
Epoch [70/100], Step[322/526], Loss: 0.2789
Epoch [70/100], Step[323/526], Loss: 0.6150
Epoch [70/100], Step[324/526], Loss: 0.6405
Epoch [70/100], Step[325/526], Loss: 0.5606
Epoch [70/100], Step[326/526], Loss: 0.7511
Epoch [70/100], Step[327/526], Loss: 0.7602
Epoch [70/100], Step[328/526], Loss: 0.9274
Epoch [70/100], Step[329/526], Loss: 1.2616
Epoch [70/100], Step[330/526], Loss: 1.0239
Epoch [70/100], Step[331/526], Loss: 0.7819
Epoch [70/100], Step[332/526], Loss: 0.8202
Epoch [70/100], Step[333/526], Loss: 0.7385
Epoch [70/100], Step[334/526], Loss: 0.7513
Epoch [70/100], Step[335/526], Loss: 0.7658
Epoch [70/100], Step[336/526], Loss: 0.6859
Epoch [70/100], Step[337/526], Loss: 0.5879
Epoch [70/100], Step[338/526], Loss: 0.7100
Epoch [70/100], Step[339/526], Loss: 0.6378
Epoch [70/100], Step[340/526], Loss: 0.7200
Epoch [70/100], Step[341/526], Loss: 0.7452
Epoch [70/100], Step[342/526], Loss: 0.7439
Epoch [70/100], Step[343/526], Loss: 0.5365
Epoch [70/100], Step[344/526], Loss: 0.7120
Epoch [70/100], Step[345/526], Loss: 0.6738
Epoch [70/100], Step[346/526], Loss: 0.6632
Epoch [70/100], Step[347/526], Loss: 0.7160
Epoch [70/100], Step[348/526], Loss: 0.6195
Epoch [70/100], Step[349/526], Loss: 0.5844
Epoch [70/100], Step[350/526], Loss: 0.6590
Epoch [70/100], Step[351/526], Loss: 0.6954
Epoch [70/100], Step[352/526], Loss: 0.6194
Epoch [70/100], Step[353/526], Loss: 0.6729
Epoch [70/100], Step[354/526], Loss: 0.6650
Epoch [70/100], Step[355/526], Loss: 0.6625
Epoch [70/100], Step[356/526], Loss: 0.6927
Epoch [70/100], Step[357/526], Loss: 0.6591
Epoch [70/100], Step[358/526], Loss: 0.6945
Epoch [70/100], Step[359/526], Loss: 0.6360
Epoch [70/100], Step[360/526], Loss: 0.6883
Epoch [70/100], Step[361/526], Loss: 0.7273
Epoch [70/100], Step[362/526], Loss: 0.7074
Epoch [70/100], Step[363/526], Loss: 0.6953
Epoch [70/100], Step[364/526], Loss: 0.7302
Epoch [70/100], Step[365/526], Loss: 0.7281
Epoch [70/100], Step[366/526], Loss: 0.6804
Epoch [70/100], Step[367/526], Loss: 0.6873
Epoch [70/100], Step[368/526], Loss: 0.6505
Epoch [70/100], Step[369/526], Loss: 0.6515
Epoch [70/100], Step[370/526], Loss: 0.5558
Epoch [70/100], Step[371/526], Loss: 0.7440
Epoch [70/100], Step[372/526], Loss: 0.6306
Epoch [70/100], Step[373/526], Loss: 0.6815
Epoch [70/100], Step[374/526], Loss: 0.7114
Epoch [70/100], Step[375/526], Loss: 0.6449
Epoch [70/100], Step[376/526], Loss: 0.6523
Epoch [70/100], Step[377/526], Loss: 0.6981
Epoch [70/100], Step[378/526], Loss: 0.6873
Epoch [70/100], Step[379/526], Loss: 0.7665
Epoch [70/100], Step[380/526], Loss: 0.6039
Epoch [70/100], Step[381/526], Loss: 0.5885
Epoch [70/100], Step[382/526], Loss: 0.6766
Epoch [70/100], Step[383/526], Loss: 0.7005
Epoch [70/100], Step[384/526], Loss: 0.6310
Epoch [70/100], Step[385/526], Loss: 0.6199
Epoch [70/100], Step[386/526], Loss: 0.6744
Epoch [70/100], Step[387/526], Loss: 0.6538
Epoch [70/100], Step[388/526], Loss: 0.5980
Epoch [70/100], Step[389/526], Loss: 0.7237
Epoch [70/100], Step[390/526], Loss: 0.5781
Epoch [70/100], Step[391/526], Loss: 0.6515
Epoch [70/100], Step[392/526], Loss: 0.7073
Epoch [70/100], Step[393/526], Loss: 0.5822
Epoch [70/100], Step[394/526], Loss: 0.5131
Epoch [70/100], Step[395/526], Loss: 0.5854
Epoch [70/100], Step[396/526], Loss: 0.6211
Epoch [70/100], Step[397/526], Loss: 0.4671
Epoch [70/100], Step[398/526], Loss: 0.6043
Epoch [70/100], Step[399/526], Loss: 0.6554
Epoch [70/100], Step[400/526], Loss: 0.4764
Epoch [70/100], Step[401/526], Loss: 0.6040
Epoch [70/100], Step[402/526], Loss: 0.6476
Epoch [70/100], Step[403/526], Loss: 0.7859
Epoch [70/100], Step[404/526], Loss: 0.4790
Epoch [70/100], Step[405/526], Loss: 0.5027
Epoch [70/100], Step[406/526], Loss: 0.6288
Epoch [70/100], Step[407/526], Loss: 0.7576
Epoch [70/100], Step[408/526], Loss: 0.6599
Epoch [70/100], Step[409/526], Loss: 0.4867
Epoch [70/100], Step[410/526], Loss: 0.4959
Epoch [70/100], Step[411/526], Loss: 0.5399
Epoch [70/100], Step[412/526], Loss: 0.5979
Epoch [70/100], Step[413/526], Loss: 0.6078
Epoch [70/100], Step[414/526], Loss: 0.6466
Epoch [70/100], Step[415/526], Loss: 0.5994
Epoch [70/100], Step[416/526], Loss: 0.5564
Epoch [70/100], Step[417/526], Loss: 0.4592
Epoch [70/100], Step[418/526], Loss: 0.7363
Epoch [70/100], Step[419/526], Loss: 0.6909
Epoch [70/100], Step[420/526], Loss: 0.6803
Epoch [70/100], Step[421/526], Loss: 0.6533
Epoch [70/100], Step[422/526], Loss: 0.7579
Epoch [70/100], Step[423/526], Loss: 0.6880
Epoch [70/100], Step[424/526], Loss: 0.7462
Epoch [70/100], Step[425/526], Loss: 0.7009
Epoch [70/100], Step[426/526], Loss: 0.7554
Epoch [70/100], Step[427/526], Loss: 0.7037
Epoch [70/100], Step[428/526], Loss: 0.7141
Epoch [70/100], Step[429/526], Loss: 0.7324
Epoch [70/100], Step[430/526], Loss: 0.7852
Epoch [70/100], Step[431/526], Loss: 0.7085
Epoch [70/100], Step[432/526], Loss: 0.7271
Epoch [70/100], Step[433/526], Loss: 0.6721
Epoch [70/100], Step[434/526], Loss: 0.6078
Epoch [70/100], Step[435/526], Loss: 0.7776
Epoch [70/100], Step[436/526], Loss: 0.8012
Epoch [70/100], Step[437/526], Loss: 0.4902
Epoch [70/100], Step[438/526], Loss: 0.3638
Epoch [70/100], Step[439/526], Loss: 0.7189
Epoch [70/100], Step[440/526], Loss: 0.6822
Epoch [70/100], Step[441/526], Loss: 0.6984
Epoch [70/100], Step[442/526], Loss: 0.6432
Epoch [70/100], Step[443/526], Loss: 0.6722
Epoch [70/100], Step[444/526], Loss: 0.7544
Epoch [70/100], Step[445/526], Loss: 0.7039
Epoch [70/100], Step[446/526], Loss: 0.7119
Epoch [70/100], Step[447/526], Loss: 0.7226
Epoch [70/100], Step[448/526], Loss: 0.7154
Epoch [70/100], Step[449/526], Loss: 0.6735
Epoch [70/100], Step[450/526], Loss: 0.5994
Epoch [70/100], Step[451/526], Loss: 0.6667
Epoch [70/100], Step[452/526], Loss: 0.7272
Epoch [70/100], Step[453/526], Loss: 0.7132
Epoch [70/100], Step[454/526], Loss: 0.8378
Epoch [70/100], Step[455/526], Loss: 0.6474
Epoch [70/100], Step[456/526], Loss: 0.6373
Epoch [70/100], Step[457/526], Loss: 0.7043
Epoch [70/100], Step[458/526], Loss: 0.6904
Epoch [70/100], Step[459/526], Loss: 0.6576
Epoch [70/100], Step[460/526], Loss: 0.6445
Epoch [70/100], Step[461/526], Loss: 0.6099
Epoch [70/100], Step[462/526], Loss: 0.6608
Epoch [70/100], Step[463/526], Loss: 0.6525
Epoch [70/100], Step[464/526], Loss: 0.6276
Epoch [70/100], Step[465/526], Loss: 0.6534
Epoch [70/100], Step[466/526], Loss: 0.6726
Epoch [70/100], Step[467/526], Loss: 0.6452
Epoch [70/100], Step[468/526], Loss: 0.6093
Epoch [70/100], Step[469/526], Loss: 0.8212
Epoch [70/100], Step[470/526], Loss: 0.6617
Epoch [70/100], Step[471/526], Loss: 0.6916
Epoch [70/100], Step[472/526], Loss: 0.6800
Epoch [70/100], Step[473/526], Loss: 0.6787
Epoch [70/100], Step[474/526], Loss: 0.6772
Epoch [70/100], Step[475/526], Loss: 0.8385
Epoch [70/100], Step[476/526], Loss: 0.7406
Epoch [70/100], Step[477/526], Loss: 0.7078
Epoch [70/100], Step[478/526], Loss: 0.6833
Epoch [70/100], Step[479/526], Loss: 0.6579
Epoch [70/100], Step[480/526], Loss: 0.7385
Epoch [70/100], Step[481/526], Loss: 0.7312
Epoch [70/100], Step[482/526], Loss: 0.6217
Epoch [70/100], Step[483/526], Loss: 0.5356
Epoch [70/100], Step[484/526], Loss: 0.7080
Epoch [70/100], Step[485/526], Loss: 0.7670
Epoch [70/100], Step[486/526], Loss: 0.7286
Epoch [70/100], Step[487/526], Loss: 0.7503
Epoch [70/100], Step[488/526], Loss: 0.6874
Epoch [70/100], Step[489/526], Loss: 0.6107
Epoch [70/100], Step[490/526], Loss: 0.6130
Epoch [70/100], Step[491/526], Loss: 0.6962
Epoch [70/100], Step[492/526], Loss: 0.6443
Epoch [70/100], Step[493/526], Loss: 0.6353
Epoch [70/100], Step[494/526], Loss: 0.6611
Epoch [70/100], Step[495/526], Loss: 0.6840
Epoch [70/100], Step[496/526], Loss: 0.6643
Epoch [70/100], Step[497/526], Loss: 0.6326
Epoch [70/100], Step[498/526], Loss: 0.6636
Epoch [70/100], Step[499/526], Loss: 0.6674
Epoch [70/100], Step[500/526], Loss: 0.6962
Epoch [70/100], Step[501/526], Loss: 0.6501
Epoch [70/100], Step[502/526], Loss: 0.6939
Epoch [70/100], Step[503/526], Loss: 0.7111
Epoch [70/100], Step[504/526], Loss: 0.7022
Epoch [70/100], Step[505/526], Loss: 0.7088
Epoch [70/100], Step[506/526], Loss: 0.6581
Epoch [70/100], Step[507/526], Loss: 0.6732
Epoch [70/100], Step[508/526], Loss: 0.6950
Epoch [70/100], Step[509/526], Loss: 0.6380
Epoch [70/100], Step[510/526], Loss: 0.7019
Epoch [70/100], Step[511/526], Loss: 0.6394
Epoch [70/100], Step[512/526], Loss: 0.6700
Epoch [70/100], Step[513/526], Loss: 0.6456
Epoch [70/100], Step[514/526], Loss: 0.6545
Epoch [70/100], Step[515/526], Loss: 0.5815
Epoch [70/100], Step[516/526], Loss: 0.7523
Epoch [70/100], Step[517/526], Loss: 0.6934
Epoch [70/100], Step[518/526], Loss: 0.7297
Epoch [70/100], Step[519/526], Loss: 0.7196
Epoch [70/100], Step[520/526], Loss: 0.6787
Epoch [70/100], Step[521/526], Loss: 0.6653
Epoch [70/100], Step[522/526], Loss: 0.5946
Epoch [70/100], Step[523/526], Loss: 0.6444
Epoch [70/100], Step[524/526], Loss: 0.6233
Epoch [70/100], Step[525/526], Loss: 0.7605
Epoch [70/100], Step[526/526], Loss: 0.7183
Epoch [71/100], Step[1/526], Loss: 0.6522
Epoch [71/100], Step[2/526], Loss: 0.6354
Epoch [71/100], Step[3/526], Loss: 0.6717
Epoch [71/100], Step[4/526], Loss: 0.6267
Epoch [71/100], Step[5/526], Loss: 0.7462
Epoch [71/100], Step[6/526], Loss: 0.7671
Epoch [71/100], Step[7/526], Loss: 0.6978
Epoch [71/100], Step[8/526], Loss: 0.6787
Epoch [71/100], Step[9/526], Loss: 0.7007
Epoch [71/100], Step[10/526], Loss: 0.6480
Epoch [71/100], Step[11/526], Loss: 0.7174
Epoch [71/100], Step[12/526], Loss: 0.7551
Epoch [71/100], Step[13/526], Loss: 0.5950
Epoch [71/100], Step[14/526], Loss: 0.6406
Epoch [71/100], Step[15/526], Loss: 0.6856
Epoch [71/100], Step[16/526], Loss: 0.7016
Epoch [71/100], Step[17/526], Loss: 0.7123
Epoch [71/100], Step[18/526], Loss: 0.6625
Epoch [71/100], Step[19/526], Loss: 0.6871
Epoch [71/100], Step[20/526], Loss: 0.7576
Epoch [71/100], Step[21/526], Loss: 0.7597
Epoch [71/100], Step[22/526], Loss: 0.7377
Epoch [71/100], Step[23/526], Loss: 0.7368
Epoch [71/100], Step[24/526], Loss: 0.7163
Epoch [71/100], Step[25/526], Loss: 0.6929
Epoch [71/100], Step[26/526], Loss: 0.6058
Epoch [71/100], Step[27/526], Loss: 0.6680
Epoch [71/100], Step[28/526], Loss: 0.6919
Epoch [71/100], Step[29/526], Loss: 0.6479
Epoch [71/100], Step[30/526], Loss: 0.6929
Epoch [71/100], Step[31/526], Loss: 0.7083
Epoch [71/100], Step[32/526], Loss: 0.6616
Epoch [71/100], Step[33/526], Loss: 0.7217
Epoch [71/100], Step[34/526], Loss: 0.6987
Epoch [71/100], Step[35/526], Loss: 0.7163
Epoch [71/100], Step[36/526], Loss: 0.7059
Epoch [71/100], Step[37/526], Loss: 0.6884
Epoch [71/100], Step[38/526], Loss: 0.7105
Epoch [71/100], Step[39/526], Loss: 0.6895
Epoch [71/100], Step[40/526], Loss: 0.7052
Epoch [71/100], Step[41/526], Loss: 0.6654
Epoch [71/100], Step[42/526], Loss: 0.7280
Epoch [71/100], Step[43/526], Loss: 0.7160
Epoch [71/100], Step[44/526], Loss: 0.6873
Epoch [71/100], Step[45/526], Loss: 0.6836
Epoch [71/100], Step[46/526], Loss: 0.6998
Epoch [71/100], Step[47/526], Loss: 0.7044
Epoch [71/100], Step[48/526], Loss: 0.7242
Epoch [71/100], Step[49/526], Loss: 0.6995
Epoch [71/100], Step[50/526], Loss: 0.7065
Epoch [71/100], Step[51/526], Loss: 0.6960
Epoch [71/100], Step[52/526], Loss: 0.6769
Epoch [71/100], Step[53/526], Loss: 0.7132
Epoch [71/100], Step[54/526], Loss: 0.7023
Epoch [71/100], Step[55/526], Loss: 0.7091
Epoch [71/100], Step[56/526], Loss: 0.6883
Epoch [71/100], Step[57/526], Loss: 0.6846
Epoch [71/100], Step[58/526], Loss: 0.6738
Epoch [71/100], Step[59/526], Loss: 0.6564
Epoch [71/100], Step[60/526], Loss: 0.6691
Epoch [71/100], Step[61/526], Loss: 0.6553
Epoch [71/100], Step[62/526], Loss: 0.6961
Epoch [71/100], Step[63/526], Loss: 0.6867
Epoch [71/100], Step[64/526], Loss: 0.6741
Epoch [71/100], Step[65/526], Loss: 0.7215
Epoch [71/100], Step[66/526], Loss: 0.6816
Epoch [71/100], Step[67/526], Loss: 0.6434
Epoch [71/100], Step[68/526], Loss: 0.6518
Epoch [71/100], Step[69/526], Loss: 0.6906
Epoch [71/100], Step[70/526], Loss: 0.6884
Epoch [71/100], Step[71/526], Loss: 0.6726
Epoch [71/100], Step[72/526], Loss: 0.6795
Epoch [71/100], Step[73/526], Loss: 0.7146
Epoch [71/100], Step[74/526], Loss: 0.6523
Epoch [71/100], Step[75/526], Loss: 0.7032
Epoch [71/100], Step[76/526], Loss: 0.6789
Epoch [71/100], Step[77/526], Loss: 0.6979
Epoch [71/100], Step[78/526], Loss: 0.7137
Epoch [71/100], Step[79/526], Loss: 0.6886
Epoch [71/100], Step[80/526], Loss: 0.6894
Epoch [71/100], Step[81/526], Loss: 0.6895
Epoch [71/100], Step[82/526], Loss: 0.7227
Epoch [71/100], Step[83/526], Loss: 0.7012
Epoch [71/100], Step[84/526], Loss: 0.6774
Epoch [71/100], Step[85/526], Loss: 0.6539
Epoch [71/100], Step[86/526], Loss: 0.6875
Epoch [71/100], Step[87/526], Loss: 0.6827
Epoch [71/100], Step[88/526], Loss: 0.6942
Epoch [71/100], Step[89/526], Loss: 0.7183
Epoch [71/100], Step[90/526], Loss: 0.6855
Epoch [71/100], Step[91/526], Loss: 0.6764
Epoch [71/100], Step[92/526], Loss: 0.6728
Epoch [71/100], Step[93/526], Loss: 0.6799
Epoch [71/100], Step[94/526], Loss: 0.8080
Epoch [71/100], Step[95/526], Loss: 0.7180
Epoch [71/100], Step[96/526], Loss: 0.6147
Epoch [71/100], Step[97/526], Loss: 0.5918
Epoch [71/100], Step[98/526], Loss: 0.6820
Epoch [71/100], Step[99/526], Loss: 0.6910
Epoch [71/100], Step[100/526], Loss: 0.6499
Epoch [71/100], Step[101/526], Loss: 0.6583
Epoch [71/100], Step[102/526], Loss: 0.6288
Epoch [71/100], Step[103/526], Loss: 0.7126
Epoch [71/100], Step[104/526], Loss: 0.6488
Epoch [71/100], Step[105/526], Loss: 0.6332
Epoch [71/100], Step[106/526], Loss: 0.6815
Epoch [71/100], Step[107/526], Loss: 0.6234
Epoch [71/100], Step[108/526], Loss: 0.5768
Epoch [71/100], Step[109/526], Loss: 0.6789
Epoch [71/100], Step[110/526], Loss: 0.6884
Epoch [71/100], Step[111/526], Loss: 0.5921
Epoch [71/100], Step[112/526], Loss: 0.7280
Epoch [71/100], Step[113/526], Loss: 0.6085
Epoch [71/100], Step[114/526], Loss: 0.6640
Epoch [71/100], Step[115/526], Loss: 0.5970
Epoch [71/100], Step[116/526], Loss: 0.6302
Epoch [71/100], Step[117/526], Loss: 0.6717
Epoch [71/100], Step[118/526], Loss: 0.7526
Epoch [71/100], Step[119/526], Loss: 0.6755
Epoch [71/100], Step[120/526], Loss: 0.6688
Epoch [71/100], Step[121/526], Loss: 0.6778
Epoch [71/100], Step[122/526], Loss: 0.6220
Epoch [71/100], Step[123/526], Loss: 0.6546
Epoch [71/100], Step[124/526], Loss: 0.6677
Epoch [71/100], Step[125/526], Loss: 0.6371
Epoch [71/100], Step[126/526], Loss: 0.7149
Epoch [71/100], Step[127/526], Loss: 0.6707
Epoch [71/100], Step[128/526], Loss: 0.6398
Epoch [71/100], Step[129/526], Loss: 0.5984
Epoch [71/100], Step[130/526], Loss: 0.6284
Epoch [71/100], Step[131/526], Loss: 0.6602
Epoch [71/100], Step[132/526], Loss: 0.7134
Epoch [71/100], Step[133/526], Loss: 0.6887
Epoch [71/100], Step[134/526], Loss: 0.6276
Epoch [71/100], Step[135/526], Loss: 0.6422
Epoch [71/100], Step[136/526], Loss: 0.5652
Epoch [71/100], Step[137/526], Loss: 0.6371
Epoch [71/100], Step[138/526], Loss: 0.6453
Epoch [71/100], Step[139/526], Loss: 0.6899
Epoch [71/100], Step[140/526], Loss: 0.5940
Epoch [71/100], Step[141/526], Loss: 0.6724
Epoch [71/100], Step[142/526], Loss: 0.6685
Epoch [71/100], Step[143/526], Loss: 0.6865
Epoch [71/100], Step[144/526], Loss: 0.7741
Epoch [71/100], Step[145/526], Loss: 0.5160
Epoch [71/100], Step[146/526], Loss: 0.5090
Epoch [71/100], Step[147/526], Loss: 0.4708
Epoch [71/100], Step[148/526], Loss: 0.5928
Epoch [71/100], Step[149/526], Loss: 0.4678
Epoch [71/100], Step[150/526], Loss: 0.5449
Epoch [71/100], Step[151/526], Loss: 0.5434
Epoch [71/100], Step[152/526], Loss: 0.6196
Epoch [71/100], Step[153/526], Loss: 0.6332
Epoch [71/100], Step[154/526], Loss: 0.6726
Epoch [71/100], Step[155/526], Loss: 0.6622
Epoch [71/100], Step[156/526], Loss: 0.5506
Epoch [71/100], Step[157/526], Loss: 0.2743
Epoch [71/100], Step[158/526], Loss: 0.5948
Epoch [71/100], Step[159/526], Loss: 0.6419
Epoch [71/100], Step[160/526], Loss: 0.5449
Epoch [71/100], Step[161/526], Loss: 0.8483
Epoch [71/100], Step[162/526], Loss: 0.7090
Epoch [71/100], Step[163/526], Loss: 0.7029
Epoch [71/100], Step[164/526], Loss: 0.6246
Epoch [71/100], Step[165/526], Loss: 0.6936
Epoch [71/100], Step[166/526], Loss: 0.5167
Epoch [71/100], Step[167/526], Loss: 0.5597
Epoch [71/100], Step[168/526], Loss: 0.7104
Epoch [71/100], Step[169/526], Loss: 0.7394
Epoch [71/100], Step[170/526], Loss: 0.7305
Epoch [71/100], Step[171/526], Loss: 0.7275
Epoch [71/100], Step[172/526], Loss: 0.7152
Epoch [71/100], Step[173/526], Loss: 0.8311
Epoch [71/100], Step[174/526], Loss: 0.6182
Epoch [71/100], Step[175/526], Loss: 0.6345
Epoch [71/100], Step[176/526], Loss: 0.6795
Epoch [71/100], Step[177/526], Loss: 0.6744
Epoch [71/100], Step[178/526], Loss: 0.6995
Epoch [71/100], Step[179/526], Loss: 0.6282
Epoch [71/100], Step[180/526], Loss: 0.6233
Epoch [71/100], Step[181/526], Loss: 0.6512
Epoch [71/100], Step[182/526], Loss: 0.6863
Epoch [71/100], Step[183/526], Loss: 0.5428
Epoch [71/100], Step[184/526], Loss: 0.5643
Epoch [71/100], Step[185/526], Loss: 0.5789
Epoch [71/100], Step[186/526], Loss: 0.6304
Epoch [71/100], Step[187/526], Loss: 0.7579
Epoch [71/100], Step[188/526], Loss: 0.7617
Epoch [71/100], Step[189/526], Loss: 0.6804
Epoch [71/100], Step[190/526], Loss: 0.6594
Epoch [71/100], Step[191/526], Loss: 0.7240
Epoch [71/100], Step[192/526], Loss: 0.8338
Epoch [71/100], Step[193/526], Loss: 0.6190
Epoch [71/100], Step[194/526], Loss: 0.6362
Epoch [71/100], Step[195/526], Loss: 0.6243
Epoch [71/100], Step[196/526], Loss: 0.7072
Epoch [71/100], Step[197/526], Loss: 0.6345
Epoch [71/100], Step[198/526], Loss: 0.6000
Epoch [71/100], Step[199/526], Loss: 0.7238
Epoch [71/100], Step[200/526], Loss: 0.6497
Epoch [71/100], Step[201/526], Loss: 0.6884
Epoch [71/100], Step[202/526], Loss: 0.8010
Epoch [71/100], Step[203/526], Loss: 0.6562
Epoch [71/100], Step[204/526], Loss: 0.7908
Epoch [71/100], Step[205/526], Loss: 0.7176
Epoch [71/100], Step[206/526], Loss: 0.6906
Epoch [71/100], Step[207/526], Loss: 0.7132
Epoch [71/100], Step[208/526], Loss: 0.6954
Epoch [71/100], Step[209/526], Loss: 0.6980
Epoch [71/100], Step[210/526], Loss: 0.7986
Epoch [71/100], Step[211/526], Loss: 0.6250
Epoch [71/100], Step[212/526], Loss: 0.6912
Epoch [71/100], Step[213/526], Loss: 0.7289
Epoch [71/100], Step[214/526], Loss: 0.7395
Epoch [71/100], Step[215/526], Loss: 0.6939
Epoch [71/100], Step[216/526], Loss: 0.6784
Epoch [71/100], Step[217/526], Loss: 0.6707
Epoch [71/100], Step[218/526], Loss: 0.7012
Epoch [71/100], Step[219/526], Loss: 0.6915
Epoch [71/100], Step[220/526], Loss: 0.7423
Epoch [71/100], Step[221/526], Loss: 0.6930
Epoch [71/100], Step[222/526], Loss: 0.7643
Epoch [71/100], Step[223/526], Loss: 0.6675
Epoch [71/100], Step[224/526], Loss: 0.6701
Epoch [71/100], Step[225/526], Loss: 0.7388
Epoch [71/100], Step[226/526], Loss: 0.6694
Epoch [71/100], Step[227/526], Loss: 0.6591
Epoch [71/100], Step[228/526], Loss: 0.6485
Epoch [71/100], Step[229/526], Loss: 0.6725
Epoch [71/100], Step[230/526], Loss: 0.6584
Epoch [71/100], Step[231/526], Loss: 0.6655
Epoch [71/100], Step[232/526], Loss: 0.7136
Epoch [71/100], Step[233/526], Loss: 0.6807
Epoch [71/100], Step[234/526], Loss: 0.6585
Epoch [71/100], Step[235/526], Loss: 0.6958
Epoch [71/100], Step[236/526], Loss: 0.6953
Epoch [71/100], Step[237/526], Loss: 0.7146
Epoch [71/100], Step[238/526], Loss: 0.6775
Epoch [71/100], Step[239/526], Loss: 0.6597
Epoch [71/100], Step[240/526], Loss: 0.7226
Epoch [71/100], Step[241/526], Loss: 0.6890
Epoch [71/100], Step[242/526], Loss: 0.7086
Epoch [71/100], Step[243/526], Loss: 0.6024
Epoch [71/100], Step[244/526], Loss: 0.6202
Epoch [71/100], Step[245/526], Loss: 0.6282
Epoch [71/100], Step[246/526], Loss: 0.6542
Epoch [71/100], Step[247/526], Loss: 0.5963
Epoch [71/100], Step[248/526], Loss: 0.6517
Epoch [71/100], Step[249/526], Loss: 0.6618
Epoch [71/100], Step[250/526], Loss: 0.6754
Epoch [71/100], Step[251/526], Loss: 0.6870
Epoch [71/100], Step[252/526], Loss: 0.6878
Epoch [71/100], Step[253/526], Loss: 0.6168
Epoch [71/100], Step[254/526], Loss: 0.6673
Epoch [71/100], Step[255/526], Loss: 0.5696
Epoch [71/100], Step[256/526], Loss: 0.6798
Epoch [71/100], Step[257/526], Loss: 0.6477
Epoch [71/100], Step[258/526], Loss: 0.6237
Epoch [71/100], Step[259/526], Loss: 0.6896
Epoch [71/100], Step[260/526], Loss: 0.7806
Epoch [71/100], Step[261/526], Loss: 0.7813
Epoch [71/100], Step[262/526], Loss: 0.6751
Epoch [71/100], Step[263/526], Loss: 0.6607
Epoch [71/100], Step[264/526], Loss: 0.6250
Epoch [71/100], Step[265/526], Loss: 0.6234
Epoch [71/100], Step[266/526], Loss: 0.6336
Epoch [71/100], Step[267/526], Loss: 0.5006
Epoch [71/100], Step[268/526], Loss: 0.5462
Epoch [71/100], Step[269/526], Loss: 0.4406
Epoch [71/100], Step[270/526], Loss: 0.3695
Epoch [71/100], Step[271/526], Loss: 0.5096
Epoch [71/100], Step[272/526], Loss: 0.5112
Epoch [71/100], Step[273/526], Loss: 0.6478
Epoch [71/100], Step[274/526], Loss: 0.4202
Epoch [71/100], Step[275/526], Loss: 0.3948
Epoch [71/100], Step[276/526], Loss: 0.4838
Epoch [71/100], Step[277/526], Loss: 0.4143
Epoch [71/100], Step[278/526], Loss: 0.4485
Epoch [71/100], Step[279/526], Loss: 0.4043
Epoch [71/100], Step[280/526], Loss: 0.4412
Epoch [71/100], Step[281/526], Loss: 0.6267
Epoch [71/100], Step[282/526], Loss: 0.3548
Epoch [71/100], Step[283/526], Loss: 0.3775
Epoch [71/100], Step[284/526], Loss: 0.4130
Epoch [71/100], Step[285/526], Loss: 0.2770
Epoch [71/100], Step[286/526], Loss: 0.6951
Epoch [71/100], Step[287/526], Loss: 0.4788
Epoch [71/100], Step[288/526], Loss: 0.4237
Epoch [71/100], Step[289/526], Loss: 0.6183
Epoch [71/100], Step[290/526], Loss: 0.4353
Epoch [71/100], Step[291/526], Loss: 0.4809
Epoch [71/100], Step[292/526], Loss: 0.2771
Epoch [71/100], Step[293/526], Loss: 0.3046
Epoch [71/100], Step[294/526], Loss: 0.3201
Epoch [71/100], Step[295/526], Loss: 0.4199
Epoch [71/100], Step[296/526], Loss: 0.6119
Epoch [71/100], Step[297/526], Loss: 0.3206
Epoch [71/100], Step[298/526], Loss: 0.2694
Epoch [71/100], Step[299/526], Loss: 0.2418
Epoch [71/100], Step[300/526], Loss: 0.2768
Epoch [71/100], Step[301/526], Loss: 0.6288
Epoch [71/100], Step[302/526], Loss: 0.3374
Epoch [71/100], Step[303/526], Loss: 0.4676
Epoch [71/100], Step[304/526], Loss: 0.2500
Epoch [71/100], Step[305/526], Loss: 0.2538
Epoch [71/100], Step[306/526], Loss: 0.5843
Epoch [71/100], Step[307/526], Loss: 0.8970
Epoch [71/100], Step[308/526], Loss: 1.3307
Epoch [71/100], Step[309/526], Loss: 0.9050
Epoch [71/100], Step[310/526], Loss: 0.9603
Epoch [71/100], Step[311/526], Loss: 0.8363
Epoch [71/100], Step[312/526], Loss: 0.4908
Epoch [71/100], Step[313/526], Loss: 0.4722
Epoch [71/100], Step[314/526], Loss: 0.6345
Epoch [71/100], Step[315/526], Loss: 0.7196
Epoch [71/100], Step[316/526], Loss: 0.4936
Epoch [71/100], Step[317/526], Loss: 0.3271
Epoch [71/100], Step[318/526], Loss: 0.7693
Epoch [71/100], Step[319/526], Loss: 0.3654
Epoch [71/100], Step[320/526], Loss: 0.6380
Epoch [71/100], Step[321/526], Loss: 0.7132
Epoch [71/100], Step[322/526], Loss: 0.2735
Epoch [71/100], Step[323/526], Loss: 0.6146
Epoch [71/100], Step[324/526], Loss: 0.6412
Epoch [71/100], Step[325/526], Loss: 0.5734
Epoch [71/100], Step[326/526], Loss: 0.7481
Epoch [71/100], Step[327/526], Loss: 0.7558
Epoch [71/100], Step[328/526], Loss: 0.9294
Epoch [71/100], Step[329/526], Loss: 1.2757
Epoch [71/100], Step[330/526], Loss: 1.0433
Epoch [71/100], Step[331/526], Loss: 0.7730
Epoch [71/100], Step[332/526], Loss: 0.8151
Epoch [71/100], Step[333/526], Loss: 0.7480
Epoch [71/100], Step[334/526], Loss: 0.7622
Epoch [71/100], Step[335/526], Loss: 0.7732
Epoch [71/100], Step[336/526], Loss: 0.6913
Epoch [71/100], Step[337/526], Loss: 0.5868
Epoch [71/100], Step[338/526], Loss: 0.7112
Epoch [71/100], Step[339/526], Loss: 0.6475
Epoch [71/100], Step[340/526], Loss: 0.7287
Epoch [71/100], Step[341/526], Loss: 0.7604
Epoch [71/100], Step[342/526], Loss: 0.7607
Epoch [71/100], Step[343/526], Loss: 0.5366
Epoch [71/100], Step[344/526], Loss: 0.7176
Epoch [71/100], Step[345/526], Loss: 0.6882
Epoch [71/100], Step[346/526], Loss: 0.6642
Epoch [71/100], Step[347/526], Loss: 0.7163
Epoch [71/100], Step[348/526], Loss: 0.6224
Epoch [71/100], Step[349/526], Loss: 0.5727
Epoch [71/100], Step[350/526], Loss: 0.6672
Epoch [71/100], Step[351/526], Loss: 0.7023
Epoch [71/100], Step[352/526], Loss: 0.6122
Epoch [71/100], Step[353/526], Loss: 0.6747
Epoch [71/100], Step[354/526], Loss: 0.6658
Epoch [71/100], Step[355/526], Loss: 0.6662
Epoch [71/100], Step[356/526], Loss: 0.6942
Epoch [71/100], Step[357/526], Loss: 0.6621
Epoch [71/100], Step[358/526], Loss: 0.6940
Epoch [71/100], Step[359/526], Loss: 0.6399
Epoch [71/100], Step[360/526], Loss: 0.6865
Epoch [71/100], Step[361/526], Loss: 0.7259
Epoch [71/100], Step[362/526], Loss: 0.7062
Epoch [71/100], Step[363/526], Loss: 0.6946
Epoch [71/100], Step[364/526], Loss: 0.7266
Epoch [71/100], Step[365/526], Loss: 0.7249
Epoch [71/100], Step[366/526], Loss: 0.6842
Epoch [71/100], Step[367/526], Loss: 0.6881
Epoch [71/100], Step[368/526], Loss: 0.6495
Epoch [71/100], Step[369/526], Loss: 0.6547
Epoch [71/100], Step[370/526], Loss: 0.5379
Epoch [71/100], Step[371/526], Loss: 0.7393
Epoch [71/100], Step[372/526], Loss: 0.6351
Epoch [71/100], Step[373/526], Loss: 0.6820
Epoch [71/100], Step[374/526], Loss: 0.7087
Epoch [71/100], Step[375/526], Loss: 0.6462
Epoch [71/100], Step[376/526], Loss: 0.6427
Epoch [71/100], Step[377/526], Loss: 0.6974
Epoch [71/100], Step[378/526], Loss: 0.6850
Epoch [71/100], Step[379/526], Loss: 0.7597
Epoch [71/100], Step[380/526], Loss: 0.6061
Epoch [71/100], Step[381/526], Loss: 0.5937
Epoch [71/100], Step[382/526], Loss: 0.6774
Epoch [71/100], Step[383/526], Loss: 0.7033
Epoch [71/100], Step[384/526], Loss: 0.6353
Epoch [71/100], Step[385/526], Loss: 0.6183
Epoch [71/100], Step[386/526], Loss: 0.6740
Epoch [71/100], Step[387/526], Loss: 0.6486
Epoch [71/100], Step[388/526], Loss: 0.5905
Epoch [71/100], Step[389/526], Loss: 0.7285
Epoch [71/100], Step[390/526], Loss: 0.5826
Epoch [71/100], Step[391/526], Loss: 0.6529
Epoch [71/100], Step[392/526], Loss: 0.7055
Epoch [71/100], Step[393/526], Loss: 0.5848
Epoch [71/100], Step[394/526], Loss: 0.5142
Epoch [71/100], Step[395/526], Loss: 0.5928
Epoch [71/100], Step[396/526], Loss: 0.6241
Epoch [71/100], Step[397/526], Loss: 0.4668
Epoch [71/100], Step[398/526], Loss: 0.6052
Epoch [71/100], Step[399/526], Loss: 0.6555
Epoch [71/100], Step[400/526], Loss: 0.4756
Epoch [71/100], Step[401/526], Loss: 0.6039
Epoch [71/100], Step[402/526], Loss: 0.6457
Epoch [71/100], Step[403/526], Loss: 0.7780
Epoch [71/100], Step[404/526], Loss: 0.4793
Epoch [71/100], Step[405/526], Loss: 0.5031
Epoch [71/100], Step[406/526], Loss: 0.6298
Epoch [71/100], Step[407/526], Loss: 0.7558
Epoch [71/100], Step[408/526], Loss: 0.6609
Epoch [71/100], Step[409/526], Loss: 0.4837
Epoch [71/100], Step[410/526], Loss: 0.4947
Epoch [71/100], Step[411/526], Loss: 0.5393
Epoch [71/100], Step[412/526], Loss: 0.5972
Epoch [71/100], Step[413/526], Loss: 0.6087
Epoch [71/100], Step[414/526], Loss: 0.6461
Epoch [71/100], Step[415/526], Loss: 0.5994
Epoch [71/100], Step[416/526], Loss: 0.5551
Epoch [71/100], Step[417/526], Loss: 0.4578
Epoch [71/100], Step[418/526], Loss: 0.7360
Epoch [71/100], Step[419/526], Loss: 0.6921
Epoch [71/100], Step[420/526], Loss: 0.6789
Epoch [71/100], Step[421/526], Loss: 0.6533
Epoch [71/100], Step[422/526], Loss: 0.7634
Epoch [71/100], Step[423/526], Loss: 0.6864
Epoch [71/100], Step[424/526], Loss: 0.7456
Epoch [71/100], Step[425/526], Loss: 0.7008
Epoch [71/100], Step[426/526], Loss: 0.7553
Epoch [71/100], Step[427/526], Loss: 0.7057
Epoch [71/100], Step[428/526], Loss: 0.7150
Epoch [71/100], Step[429/526], Loss: 0.7340
Epoch [71/100], Step[430/526], Loss: 0.7905
Epoch [71/100], Step[431/526], Loss: 0.7073
Epoch [71/100], Step[432/526], Loss: 0.7277
Epoch [71/100], Step[433/526], Loss: 0.6723
Epoch [71/100], Step[434/526], Loss: 0.6093
Epoch [71/100], Step[435/526], Loss: 0.7787
Epoch [71/100], Step[436/526], Loss: 0.8089
Epoch [71/100], Step[437/526], Loss: 0.4914
Epoch [71/100], Step[438/526], Loss: 0.3612
Epoch [71/100], Step[439/526], Loss: 0.7199
Epoch [71/100], Step[440/526], Loss: 0.6821
Epoch [71/100], Step[441/526], Loss: 0.7068
Epoch [71/100], Step[442/526], Loss: 0.6429
Epoch [71/100], Step[443/526], Loss: 0.6723
Epoch [71/100], Step[444/526], Loss: 0.7519
Epoch [71/100], Step[445/526], Loss: 0.7030
Epoch [71/100], Step[446/526], Loss: 0.7178
Epoch [71/100], Step[447/526], Loss: 0.7213
Epoch [71/100], Step[448/526], Loss: 0.7156
Epoch [71/100], Step[449/526], Loss: 0.6721
Epoch [71/100], Step[450/526], Loss: 0.6035
Epoch [71/100], Step[451/526], Loss: 0.6644
Epoch [71/100], Step[452/526], Loss: 0.7249
Epoch [71/100], Step[453/526], Loss: 0.7133
Epoch [71/100], Step[454/526], Loss: 0.8373
Epoch [71/100], Step[455/526], Loss: 0.6638
Epoch [71/100], Step[456/526], Loss: 0.6277
Epoch [71/100], Step[457/526], Loss: 0.6906
Epoch [71/100], Step[458/526], Loss: 0.6976
Epoch [71/100], Step[459/526], Loss: 0.6679
Epoch [71/100], Step[460/526], Loss: 0.6465
Epoch [71/100], Step[461/526], Loss: 0.6118
Epoch [71/100], Step[462/526], Loss: 0.6688
Epoch [71/100], Step[463/526], Loss: 0.6528
Epoch [71/100], Step[464/526], Loss: 0.6274
Epoch [71/100], Step[465/526], Loss: 0.6586
Epoch [71/100], Step[466/526], Loss: 0.6655
Epoch [71/100], Step[467/526], Loss: 0.6622
Epoch [71/100], Step[468/526], Loss: 0.6112
Epoch [71/100], Step[469/526], Loss: 0.8107
Epoch [71/100], Step[470/526], Loss: 0.6622
Epoch [71/100], Step[471/526], Loss: 0.6932
Epoch [71/100], Step[472/526], Loss: 0.6790
Epoch [71/100], Step[473/526], Loss: 0.6820
Epoch [71/100], Step[474/526], Loss: 0.6776
Epoch [71/100], Step[475/526], Loss: 0.8376
Epoch [71/100], Step[476/526], Loss: 0.7373
Epoch [71/100], Step[477/526], Loss: 0.7082
Epoch [71/100], Step[478/526], Loss: 0.6861
Epoch [71/100], Step[479/526], Loss: 0.6599
Epoch [71/100], Step[480/526], Loss: 0.7409
Epoch [71/100], Step[481/526], Loss: 0.7300
Epoch [71/100], Step[482/526], Loss: 0.6172
Epoch [71/100], Step[483/526], Loss: 0.5378
Epoch [71/100], Step[484/526], Loss: 0.7095
Epoch [71/100], Step[485/526], Loss: 0.7738
Epoch [71/100], Step[486/526], Loss: 0.7276
Epoch [71/100], Step[487/526], Loss: 0.7550
Epoch [71/100], Step[488/526], Loss: 0.6927
Epoch [71/100], Step[489/526], Loss: 0.6153
Epoch [71/100], Step[490/526], Loss: 0.6141
Epoch [71/100], Step[491/526], Loss: 0.6964
Epoch [71/100], Step[492/526], Loss: 0.6445
Epoch [71/100], Step[493/526], Loss: 0.6357
Epoch [71/100], Step[494/526], Loss: 0.6629
Epoch [71/100], Step[495/526], Loss: 0.6861
Epoch [71/100], Step[496/526], Loss: 0.6640
Epoch [71/100], Step[497/526], Loss: 0.6329
Epoch [71/100], Step[498/526], Loss: 0.6645
Epoch [71/100], Step[499/526], Loss: 0.6673
Epoch [71/100], Step[500/526], Loss: 0.6773
Epoch [71/100], Step[501/526], Loss: 0.6505
Epoch [71/100], Step[502/526], Loss: 0.6944
Epoch [71/100], Step[503/526], Loss: 0.7118
Epoch [71/100], Step[504/526], Loss: 0.6995
Epoch [71/100], Step[505/526], Loss: 0.7093
Epoch [71/100], Step[506/526], Loss: 0.6719
Epoch [71/100], Step[507/526], Loss: 0.6730
Epoch [71/100], Step[508/526], Loss: 0.6983
Epoch [71/100], Step[509/526], Loss: 0.6456
Epoch [71/100], Step[510/526], Loss: 0.7018
Epoch [71/100], Step[511/526], Loss: 0.6424
Epoch [71/100], Step[512/526], Loss: 0.6698
Epoch [71/100], Step[513/526], Loss: 0.6485
Epoch [71/100], Step[514/526], Loss: 0.6543
Epoch [71/100], Step[515/526], Loss: 0.5760
Epoch [71/100], Step[516/526], Loss: 0.7529
Epoch [71/100], Step[517/526], Loss: 0.6918
Epoch [71/100], Step[518/526], Loss: 0.7305
Epoch [71/100], Step[519/526], Loss: 0.7187
Epoch [71/100], Step[520/526], Loss: 0.6788
Epoch [71/100], Step[521/526], Loss: 0.6621
Epoch [71/100], Step[522/526], Loss: 0.5937
Epoch [71/100], Step[523/526], Loss: 0.6454
Epoch [71/100], Step[524/526], Loss: 0.6280
Epoch [71/100], Step[525/526], Loss: 0.7595
Epoch [71/100], Step[526/526], Loss: 0.7031
Epoch [72/100], Step[1/526], Loss: 0.6538
Epoch [72/100], Step[2/526], Loss: 0.6361
Epoch [72/100], Step[3/526], Loss: 0.6710
Epoch [72/100], Step[4/526], Loss: 0.6312
Epoch [72/100], Step[5/526], Loss: 0.7461
Epoch [72/100], Step[6/526], Loss: 0.7576
Epoch [72/100], Step[7/526], Loss: 0.7054
Epoch [72/100], Step[8/526], Loss: 0.6796
Epoch [72/100], Step[9/526], Loss: 0.7055
Epoch [72/100], Step[10/526], Loss: 0.6671
Epoch [72/100], Step[11/526], Loss: 0.6845
Epoch [72/100], Step[12/526], Loss: 0.7405
Epoch [72/100], Step[13/526], Loss: 0.6056
Epoch [72/100], Step[14/526], Loss: 0.6496
Epoch [72/100], Step[15/526], Loss: 0.6843
Epoch [72/100], Step[16/526], Loss: 0.7067
Epoch [72/100], Step[17/526], Loss: 0.7136
Epoch [72/100], Step[18/526], Loss: 0.6718
Epoch [72/100], Step[19/526], Loss: 0.6930
Epoch [72/100], Step[20/526], Loss: 0.7465
Epoch [72/100], Step[21/526], Loss: 0.7536
Epoch [72/100], Step[22/526], Loss: 0.7332
Epoch [72/100], Step[23/526], Loss: 0.7406
Epoch [72/100], Step[24/526], Loss: 0.7119
Epoch [72/100], Step[25/526], Loss: 0.6904
Epoch [72/100], Step[26/526], Loss: 0.6041
Epoch [72/100], Step[27/526], Loss: 0.6671
Epoch [72/100], Step[28/526], Loss: 0.6901
Epoch [72/100], Step[29/526], Loss: 0.6436
Epoch [72/100], Step[30/526], Loss: 0.6950
Epoch [72/100], Step[31/526], Loss: 0.7055
Epoch [72/100], Step[32/526], Loss: 0.6580
Epoch [72/100], Step[33/526], Loss: 0.7201
Epoch [72/100], Step[34/526], Loss: 0.6975
Epoch [72/100], Step[35/526], Loss: 0.7147
Epoch [72/100], Step[36/526], Loss: 0.7025
Epoch [72/100], Step[37/526], Loss: 0.6890
Epoch [72/100], Step[38/526], Loss: 0.7085
Epoch [72/100], Step[39/526], Loss: 0.6902
Epoch [72/100], Step[40/526], Loss: 0.7048
Epoch [72/100], Step[41/526], Loss: 0.6670
Epoch [72/100], Step[42/526], Loss: 0.7276
Epoch [72/100], Step[43/526], Loss: 0.7168
Epoch [72/100], Step[44/526], Loss: 0.6878
Epoch [72/100], Step[45/526], Loss: 0.6843
Epoch [72/100], Step[46/526], Loss: 0.6988
Epoch [72/100], Step[47/526], Loss: 0.7080
Epoch [72/100], Step[48/526], Loss: 0.7235
Epoch [72/100], Step[49/526], Loss: 0.6985
Epoch [72/100], Step[50/526], Loss: 0.7038
Epoch [72/100], Step[51/526], Loss: 0.6961
Epoch [72/100], Step[52/526], Loss: 0.6743
Epoch [72/100], Step[53/526], Loss: 0.7117
Epoch [72/100], Step[54/526], Loss: 0.7061
Epoch [72/100], Step[55/526], Loss: 0.7169
Epoch [72/100], Step[56/526], Loss: 0.6861
Epoch [72/100], Step[57/526], Loss: 0.6840
Epoch [72/100], Step[58/526], Loss: 0.6735
Epoch [72/100], Step[59/526], Loss: 0.6542
Epoch [72/100], Step[60/526], Loss: 0.6687
Epoch [72/100], Step[61/526], Loss: 0.6589
Epoch [72/100], Step[62/526], Loss: 0.6964
Epoch [72/100], Step[63/526], Loss: 0.6896
Epoch [72/100], Step[64/526], Loss: 0.6743
Epoch [72/100], Step[65/526], Loss: 0.7234
Epoch [72/100], Step[66/526], Loss: 0.6806
Epoch [72/100], Step[67/526], Loss: 0.6419
Epoch [72/100], Step[68/526], Loss: 0.6533
Epoch [72/100], Step[69/526], Loss: 0.6910
Epoch [72/100], Step[70/526], Loss: 0.6883
Epoch [72/100], Step[71/526], Loss: 0.6736
Epoch [72/100], Step[72/526], Loss: 0.6797
Epoch [72/100], Step[73/526], Loss: 0.7143
Epoch [72/100], Step[74/526], Loss: 0.6510
Epoch [72/100], Step[75/526], Loss: 0.7021
Epoch [72/100], Step[76/526], Loss: 0.6777
Epoch [72/100], Step[77/526], Loss: 0.6983
Epoch [72/100], Step[78/526], Loss: 0.7122
Epoch [72/100], Step[79/526], Loss: 0.6883
Epoch [72/100], Step[80/526], Loss: 0.6883
Epoch [72/100], Step[81/526], Loss: 0.6898
Epoch [72/100], Step[82/526], Loss: 0.7205
Epoch [72/100], Step[83/526], Loss: 0.6992
Epoch [72/100], Step[84/526], Loss: 0.6770
Epoch [72/100], Step[85/526], Loss: 0.6513
Epoch [72/100], Step[86/526], Loss: 0.6883
Epoch [72/100], Step[87/526], Loss: 0.6833
Epoch [72/100], Step[88/526], Loss: 0.6969
Epoch [72/100], Step[89/526], Loss: 0.7193
Epoch [72/100], Step[90/526], Loss: 0.6872
Epoch [72/100], Step[91/526], Loss: 0.6764
Epoch [72/100], Step[92/526], Loss: 0.6682
Epoch [72/100], Step[93/526], Loss: 0.6809
Epoch [72/100], Step[94/526], Loss: 0.8071
Epoch [72/100], Step[95/526], Loss: 0.7186
Epoch [72/100], Step[96/526], Loss: 0.6124
Epoch [72/100], Step[97/526], Loss: 0.5904
Epoch [72/100], Step[98/526], Loss: 0.6799
Epoch [72/100], Step[99/526], Loss: 0.6910
Epoch [72/100], Step[100/526], Loss: 0.6504
Epoch [72/100], Step[101/526], Loss: 0.6574
Epoch [72/100], Step[102/526], Loss: 0.6278
Epoch [72/100], Step[103/526], Loss: 0.7190
Epoch [72/100], Step[104/526], Loss: 0.6475
Epoch [72/100], Step[105/526], Loss: 0.6349
Epoch [72/100], Step[106/526], Loss: 0.6823
Epoch [72/100], Step[107/526], Loss: 0.6229
Epoch [72/100], Step[108/526], Loss: 0.5773
Epoch [72/100], Step[109/526], Loss: 0.6804
Epoch [72/100], Step[110/526], Loss: 0.6888
Epoch [72/100], Step[111/526], Loss: 0.5906
Epoch [72/100], Step[112/526], Loss: 0.7296
Epoch [72/100], Step[113/526], Loss: 0.6080
Epoch [72/100], Step[114/526], Loss: 0.6626
Epoch [72/100], Step[115/526], Loss: 0.5974
Epoch [72/100], Step[116/526], Loss: 0.6308
Epoch [72/100], Step[117/526], Loss: 0.6727
Epoch [72/100], Step[118/526], Loss: 0.7532
Epoch [72/100], Step[119/526], Loss: 0.6763
Epoch [72/100], Step[120/526], Loss: 0.6726
Epoch [72/100], Step[121/526], Loss: 0.6810
Epoch [72/100], Step[122/526], Loss: 0.6239
Epoch [72/100], Step[123/526], Loss: 0.6533
Epoch [72/100], Step[124/526], Loss: 0.6661
Epoch [72/100], Step[125/526], Loss: 0.6363
Epoch [72/100], Step[126/526], Loss: 0.7164
Epoch [72/100], Step[127/526], Loss: 0.6678
Epoch [72/100], Step[128/526], Loss: 0.6397
Epoch [72/100], Step[129/526], Loss: 0.5975
Epoch [72/100], Step[130/526], Loss: 0.6274
Epoch [72/100], Step[131/526], Loss: 0.6632
Epoch [72/100], Step[132/526], Loss: 0.7102
Epoch [72/100], Step[133/526], Loss: 0.6806
Epoch [72/100], Step[134/526], Loss: 0.6260
Epoch [72/100], Step[135/526], Loss: 0.6430
Epoch [72/100], Step[136/526], Loss: 0.5661
Epoch [72/100], Step[137/526], Loss: 0.6370
Epoch [72/100], Step[138/526], Loss: 0.6442
Epoch [72/100], Step[139/526], Loss: 0.6911
Epoch [72/100], Step[140/526], Loss: 0.5947
Epoch [72/100], Step[141/526], Loss: 0.6737
Epoch [72/100], Step[142/526], Loss: 0.6682
Epoch [72/100], Step[143/526], Loss: 0.6831
Epoch [72/100], Step[144/526], Loss: 0.7772
Epoch [72/100], Step[145/526], Loss: 0.5165
Epoch [72/100], Step[146/526], Loss: 0.5060
Epoch [72/100], Step[147/526], Loss: 0.4690
Epoch [72/100], Step[148/526], Loss: 0.5933
Epoch [72/100], Step[149/526], Loss: 0.4670
Epoch [72/100], Step[150/526], Loss: 0.5413
Epoch [72/100], Step[151/526], Loss: 0.5361
Epoch [72/100], Step[152/526], Loss: 0.6186
Epoch [72/100], Step[153/526], Loss: 0.6303
Epoch [72/100], Step[154/526], Loss: 0.6733
Epoch [72/100], Step[155/526], Loss: 0.6607
Epoch [72/100], Step[156/526], Loss: 0.5495
Epoch [72/100], Step[157/526], Loss: 0.2694
Epoch [72/100], Step[158/526], Loss: 0.5931
Epoch [72/100], Step[159/526], Loss: 0.6431
Epoch [72/100], Step[160/526], Loss: 0.5420
Epoch [72/100], Step[161/526], Loss: 0.8531
Epoch [72/100], Step[162/526], Loss: 0.7061
Epoch [72/100], Step[163/526], Loss: 0.7035
Epoch [72/100], Step[164/526], Loss: 0.6249
Epoch [72/100], Step[165/526], Loss: 0.6926
Epoch [72/100], Step[166/526], Loss: 0.5157
Epoch [72/100], Step[167/526], Loss: 0.5599
Epoch [72/100], Step[168/526], Loss: 0.7112
Epoch [72/100], Step[169/526], Loss: 0.7363
Epoch [72/100], Step[170/526], Loss: 0.7279
Epoch [72/100], Step[171/526], Loss: 0.7264
Epoch [72/100], Step[172/526], Loss: 0.7157
Epoch [72/100], Step[173/526], Loss: 0.8337
Epoch [72/100], Step[174/526], Loss: 0.6197
Epoch [72/100], Step[175/526], Loss: 0.6337
Epoch [72/100], Step[176/526], Loss: 0.6794
Epoch [72/100], Step[177/526], Loss: 0.6723
Epoch [72/100], Step[178/526], Loss: 0.6976
Epoch [72/100], Step[179/526], Loss: 0.6221
Epoch [72/100], Step[180/526], Loss: 0.6288
Epoch [72/100], Step[181/526], Loss: 0.6525
Epoch [72/100], Step[182/526], Loss: 0.6860
Epoch [72/100], Step[183/526], Loss: 0.5480
Epoch [72/100], Step[184/526], Loss: 0.5854
Epoch [72/100], Step[185/526], Loss: 0.5863
Epoch [72/100], Step[186/526], Loss: 0.6354
Epoch [72/100], Step[187/526], Loss: 0.7619
Epoch [72/100], Step[188/526], Loss: 0.7268
Epoch [72/100], Step[189/526], Loss: 0.6658
Epoch [72/100], Step[190/526], Loss: 0.6532
Epoch [72/100], Step[191/526], Loss: 0.7114
Epoch [72/100], Step[192/526], Loss: 0.8025
Epoch [72/100], Step[193/526], Loss: 0.6226
Epoch [72/100], Step[194/526], Loss: 0.6248
Epoch [72/100], Step[195/526], Loss: 0.6284
Epoch [72/100], Step[196/526], Loss: 0.7129
Epoch [72/100], Step[197/526], Loss: 0.6410
Epoch [72/100], Step[198/526], Loss: 0.6012
Epoch [72/100], Step[199/526], Loss: 0.7346
Epoch [72/100], Step[200/526], Loss: 0.6575
Epoch [72/100], Step[201/526], Loss: 0.6904
Epoch [72/100], Step[202/526], Loss: 0.8056
Epoch [72/100], Step[203/526], Loss: 0.6542
Epoch [72/100], Step[204/526], Loss: 0.7964
Epoch [72/100], Step[205/526], Loss: 0.7142
Epoch [72/100], Step[206/526], Loss: 0.6928
Epoch [72/100], Step[207/526], Loss: 0.7210
Epoch [72/100], Step[208/526], Loss: 0.6986
Epoch [72/100], Step[209/526], Loss: 0.7028
Epoch [72/100], Step[210/526], Loss: 0.7841
Epoch [72/100], Step[211/526], Loss: 0.6229
Epoch [72/100], Step[212/526], Loss: 0.6935
Epoch [72/100], Step[213/526], Loss: 0.7308
Epoch [72/100], Step[214/526], Loss: 0.7354
Epoch [72/100], Step[215/526], Loss: 0.6961
Epoch [72/100], Step[216/526], Loss: 0.6764
Epoch [72/100], Step[217/526], Loss: 0.6730
Epoch [72/100], Step[218/526], Loss: 0.6999
Epoch [72/100], Step[219/526], Loss: 0.6903
Epoch [72/100], Step[220/526], Loss: 0.7389
Epoch [72/100], Step[221/526], Loss: 0.6945
Epoch [72/100], Step[222/526], Loss: 0.7604
Epoch [72/100], Step[223/526], Loss: 0.6673
Epoch [72/100], Step[224/526], Loss: 0.6684
Epoch [72/100], Step[225/526], Loss: 0.7373
Epoch [72/100], Step[226/526], Loss: 0.6687
Epoch [72/100], Step[227/526], Loss: 0.6589
Epoch [72/100], Step[228/526], Loss: 0.6489
Epoch [72/100], Step[229/526], Loss: 0.6735
Epoch [72/100], Step[230/526], Loss: 0.6590
Epoch [72/100], Step[231/526], Loss: 0.6659
Epoch [72/100], Step[232/526], Loss: 0.7130
Epoch [72/100], Step[233/526], Loss: 0.6809
Epoch [72/100], Step[234/526], Loss: 0.6569
Epoch [72/100], Step[235/526], Loss: 0.6957
Epoch [72/100], Step[236/526], Loss: 0.6956
Epoch [72/100], Step[237/526], Loss: 0.7139
Epoch [72/100], Step[238/526], Loss: 0.6766
Epoch [72/100], Step[239/526], Loss: 0.6587
Epoch [72/100], Step[240/526], Loss: 0.7217
Epoch [72/100], Step[241/526], Loss: 0.6893
Epoch [72/100], Step[242/526], Loss: 0.7088
Epoch [72/100], Step[243/526], Loss: 0.5947
Epoch [72/100], Step[244/526], Loss: 0.6165
Epoch [72/100], Step[245/526], Loss: 0.6270
Epoch [72/100], Step[246/526], Loss: 0.6536
Epoch [72/100], Step[247/526], Loss: 0.5941
Epoch [72/100], Step[248/526], Loss: 0.6502
Epoch [72/100], Step[249/526], Loss: 0.6638
Epoch [72/100], Step[250/526], Loss: 0.6761
Epoch [72/100], Step[251/526], Loss: 0.6813
Epoch [72/100], Step[252/526], Loss: 0.6864
Epoch [72/100], Step[253/526], Loss: 0.6140
Epoch [72/100], Step[254/526], Loss: 0.6648
Epoch [72/100], Step[255/526], Loss: 0.5655
Epoch [72/100], Step[256/526], Loss: 0.6745
Epoch [72/100], Step[257/526], Loss: 0.6492
Epoch [72/100], Step[258/526], Loss: 0.6228
Epoch [72/100], Step[259/526], Loss: 0.6897
Epoch [72/100], Step[260/526], Loss: 0.7871
Epoch [72/100], Step[261/526], Loss: 0.7963
Epoch [72/100], Step[262/526], Loss: 0.6742
Epoch [72/100], Step[263/526], Loss: 0.6638
Epoch [72/100], Step[264/526], Loss: 0.6303
Epoch [72/100], Step[265/526], Loss: 0.6135
Epoch [72/100], Step[266/526], Loss: 0.6231
Epoch [72/100], Step[267/526], Loss: 0.4884
Epoch [72/100], Step[268/526], Loss: 0.5457
Epoch [72/100], Step[269/526], Loss: 0.4294
Epoch [72/100], Step[270/526], Loss: 0.3691
Epoch [72/100], Step[271/526], Loss: 0.5108
Epoch [72/100], Step[272/526], Loss: 0.5138
Epoch [72/100], Step[273/526], Loss: 0.6466
Epoch [72/100], Step[274/526], Loss: 0.4254
Epoch [72/100], Step[275/526], Loss: 0.3755
Epoch [72/100], Step[276/526], Loss: 0.4805
Epoch [72/100], Step[277/526], Loss: 0.3884
Epoch [72/100], Step[278/526], Loss: 0.4397
Epoch [72/100], Step[279/526], Loss: 0.3963
Epoch [72/100], Step[280/526], Loss: 0.4387
Epoch [72/100], Step[281/526], Loss: 0.6458
Epoch [72/100], Step[282/526], Loss: 0.3667
Epoch [72/100], Step[283/526], Loss: 0.3862
Epoch [72/100], Step[284/526], Loss: 0.4112
Epoch [72/100], Step[285/526], Loss: 0.2804
Epoch [72/100], Step[286/526], Loss: 0.6994
Epoch [72/100], Step[287/526], Loss: 0.4982
Epoch [72/100], Step[288/526], Loss: 0.4052
Epoch [72/100], Step[289/526], Loss: 0.6099
Epoch [72/100], Step[290/526], Loss: 0.4373
Epoch [72/100], Step[291/526], Loss: 0.4870
Epoch [72/100], Step[292/526], Loss: 0.2686
Epoch [72/100], Step[293/526], Loss: 0.3037
Epoch [72/100], Step[294/526], Loss: 0.3170
Epoch [72/100], Step[295/526], Loss: 0.4053
Epoch [72/100], Step[296/526], Loss: 0.5995
Epoch [72/100], Step[297/526], Loss: 0.3154
Epoch [72/100], Step[298/526], Loss: 0.2732
Epoch [72/100], Step[299/526], Loss: 0.2294
Epoch [72/100], Step[300/526], Loss: 0.2673
Epoch [72/100], Step[301/526], Loss: 0.6240
Epoch [72/100], Step[302/526], Loss: 0.3488
Epoch [72/100], Step[303/526], Loss: 0.4564
Epoch [72/100], Step[304/526], Loss: 0.2466
Epoch [72/100], Step[305/526], Loss: 0.2420
Epoch [72/100], Step[306/526], Loss: 0.5988
Epoch [72/100], Step[307/526], Loss: 0.9062
Epoch [72/100], Step[308/526], Loss: 1.3665
Epoch [72/100], Step[309/526], Loss: 0.9240
Epoch [72/100], Step[310/526], Loss: 0.9779
Epoch [72/100], Step[311/526], Loss: 0.8420
Epoch [72/100], Step[312/526], Loss: 0.4931
Epoch [72/100], Step[313/526], Loss: 0.4710
Epoch [72/100], Step[314/526], Loss: 0.6032
Epoch [72/100], Step[315/526], Loss: 0.6774
Epoch [72/100], Step[316/526], Loss: 0.4929
Epoch [72/100], Step[317/526], Loss: 0.3320
Epoch [72/100], Step[318/526], Loss: 0.7534
Epoch [72/100], Step[319/526], Loss: 0.3728
Epoch [72/100], Step[320/526], Loss: 0.6070
Epoch [72/100], Step[321/526], Loss: 0.7182
Epoch [72/100], Step[322/526], Loss: 0.3036
Epoch [72/100], Step[323/526], Loss: 0.6223
Epoch [72/100], Step[324/526], Loss: 0.6415
Epoch [72/100], Step[325/526], Loss: 0.5578
Epoch [72/100], Step[326/526], Loss: 0.7497
Epoch [72/100], Step[327/526], Loss: 0.7610
Epoch [72/100], Step[328/526], Loss: 0.9241
Epoch [72/100], Step[329/526], Loss: 1.2600
Epoch [72/100], Step[330/526], Loss: 1.0274
Epoch [72/100], Step[331/526], Loss: 0.7972
Epoch [72/100], Step[332/526], Loss: 0.8392
Epoch [72/100], Step[333/526], Loss: 0.7478
Epoch [72/100], Step[334/526], Loss: 0.7756
Epoch [72/100], Step[335/526], Loss: 0.7695
Epoch [72/100], Step[336/526], Loss: 0.6903
Epoch [72/100], Step[337/526], Loss: 0.5831
Epoch [72/100], Step[338/526], Loss: 0.7120
Epoch [72/100], Step[339/526], Loss: 0.6426
Epoch [72/100], Step[340/526], Loss: 0.7239
Epoch [72/100], Step[341/526], Loss: 0.7494
Epoch [72/100], Step[342/526], Loss: 0.7548
Epoch [72/100], Step[343/526], Loss: 0.5340
Epoch [72/100], Step[344/526], Loss: 0.7124
Epoch [72/100], Step[345/526], Loss: 0.6786
Epoch [72/100], Step[346/526], Loss: 0.6605
Epoch [72/100], Step[347/526], Loss: 0.7143
Epoch [72/100], Step[348/526], Loss: 0.6224
Epoch [72/100], Step[349/526], Loss: 0.5734
Epoch [72/100], Step[350/526], Loss: 0.6586
Epoch [72/100], Step[351/526], Loss: 0.6990
Epoch [72/100], Step[352/526], Loss: 0.6056
Epoch [72/100], Step[353/526], Loss: 0.6729
Epoch [72/100], Step[354/526], Loss: 0.6670
Epoch [72/100], Step[355/526], Loss: 0.6632
Epoch [72/100], Step[356/526], Loss: 0.6930
Epoch [72/100], Step[357/526], Loss: 0.6575
Epoch [72/100], Step[358/526], Loss: 0.6974
Epoch [72/100], Step[359/526], Loss: 0.6363
Epoch [72/100], Step[360/526], Loss: 0.6868
Epoch [72/100], Step[361/526], Loss: 0.7220
Epoch [72/100], Step[362/526], Loss: 0.7058
Epoch [72/100], Step[363/526], Loss: 0.6960
Epoch [72/100], Step[364/526], Loss: 0.7276
Epoch [72/100], Step[365/526], Loss: 0.7240
Epoch [72/100], Step[366/526], Loss: 0.6831
Epoch [72/100], Step[367/526], Loss: 0.6867
Epoch [72/100], Step[368/526], Loss: 0.6510
Epoch [72/100], Step[369/526], Loss: 0.6524
Epoch [72/100], Step[370/526], Loss: 0.8460
Epoch [72/100], Step[371/526], Loss: 0.7419
Epoch [72/100], Step[372/526], Loss: 0.6319
Epoch [72/100], Step[373/526], Loss: 0.6802
Epoch [72/100], Step[374/526], Loss: 0.7078
Epoch [72/100], Step[375/526], Loss: 0.6438
Epoch [72/100], Step[376/526], Loss: 0.6478
Epoch [72/100], Step[377/526], Loss: 0.6974
Epoch [72/100], Step[378/526], Loss: 0.6868
Epoch [72/100], Step[379/526], Loss: 0.7670
Epoch [72/100], Step[380/526], Loss: 0.6047
Epoch [72/100], Step[381/526], Loss: 0.5906
Epoch [72/100], Step[382/526], Loss: 0.6762
Epoch [72/100], Step[383/526], Loss: 0.7007
Epoch [72/100], Step[384/526], Loss: 0.6321
Epoch [72/100], Step[385/526], Loss: 0.6221
Epoch [72/100], Step[386/526], Loss: 0.6704
Epoch [72/100], Step[387/526], Loss: 0.6639
Epoch [72/100], Step[388/526], Loss: 0.5974
Epoch [72/100], Step[389/526], Loss: 0.7244
Epoch [72/100], Step[390/526], Loss: 0.5769
Epoch [72/100], Step[391/526], Loss: 0.6495
Epoch [72/100], Step[392/526], Loss: 0.7081
Epoch [72/100], Step[393/526], Loss: 0.5840
Epoch [72/100], Step[394/526], Loss: 0.5139
Epoch [72/100], Step[395/526], Loss: 0.5831
Epoch [72/100], Step[396/526], Loss: 0.6226
Epoch [72/100], Step[397/526], Loss: 0.4690
Epoch [72/100], Step[398/526], Loss: 0.6061
Epoch [72/100], Step[399/526], Loss: 0.6567
Epoch [72/100], Step[400/526], Loss: 0.4765
Epoch [72/100], Step[401/526], Loss: 0.6030
Epoch [72/100], Step[402/526], Loss: 0.6455
Epoch [72/100], Step[403/526], Loss: 0.7386
Epoch [72/100], Step[404/526], Loss: 0.4784
Epoch [72/100], Step[405/526], Loss: 0.5020
Epoch [72/100], Step[406/526], Loss: 0.6280
Epoch [72/100], Step[407/526], Loss: 0.7576
Epoch [72/100], Step[408/526], Loss: 0.6511
Epoch [72/100], Step[409/526], Loss: 0.4918
Epoch [72/100], Step[410/526], Loss: 0.4980
Epoch [72/100], Step[411/526], Loss: 0.5395
Epoch [72/100], Step[412/526], Loss: 0.5985
Epoch [72/100], Step[413/526], Loss: 0.6084
Epoch [72/100], Step[414/526], Loss: 0.6461
Epoch [72/100], Step[415/526], Loss: 0.5998
Epoch [72/100], Step[416/526], Loss: 0.5596
Epoch [72/100], Step[417/526], Loss: 0.4630
Epoch [72/100], Step[418/526], Loss: 0.7385
Epoch [72/100], Step[419/526], Loss: 0.6892
Epoch [72/100], Step[420/526], Loss: 0.6783
Epoch [72/100], Step[421/526], Loss: 0.6549
Epoch [72/100], Step[422/526], Loss: 0.7565
Epoch [72/100], Step[423/526], Loss: 0.6887
Epoch [72/100], Step[424/526], Loss: 0.7472
Epoch [72/100], Step[425/526], Loss: 0.7022
Epoch [72/100], Step[426/526], Loss: 0.7551
Epoch [72/100], Step[427/526], Loss: 0.7052
Epoch [72/100], Step[428/526], Loss: 0.7140
Epoch [72/100], Step[429/526], Loss: 0.7337
Epoch [72/100], Step[430/526], Loss: 0.7833
Epoch [72/100], Step[431/526], Loss: 0.7076
Epoch [72/100], Step[432/526], Loss: 0.7278
Epoch [72/100], Step[433/526], Loss: 0.6729
Epoch [72/100], Step[434/526], Loss: 0.6074
Epoch [72/100], Step[435/526], Loss: 0.7761
Epoch [72/100], Step[436/526], Loss: 0.7998
Epoch [72/100], Step[437/526], Loss: 0.4980
Epoch [72/100], Step[438/526], Loss: 0.3637
Epoch [72/100], Step[439/526], Loss: 0.7201
Epoch [72/100], Step[440/526], Loss: 0.6838
Epoch [72/100], Step[441/526], Loss: 0.6946
Epoch [72/100], Step[442/526], Loss: 0.6444
Epoch [72/100], Step[443/526], Loss: 0.6714
Epoch [72/100], Step[444/526], Loss: 0.7544
Epoch [72/100], Step[445/526], Loss: 0.7035
Epoch [72/100], Step[446/526], Loss: 0.7095
Epoch [72/100], Step[447/526], Loss: 0.7220
Epoch [72/100], Step[448/526], Loss: 0.7150
Epoch [72/100], Step[449/526], Loss: 0.6722
Epoch [72/100], Step[450/526], Loss: 0.5958
Epoch [72/100], Step[451/526], Loss: 0.6661
Epoch [72/100], Step[452/526], Loss: 0.7273
Epoch [72/100], Step[453/526], Loss: 0.7109
Epoch [72/100], Step[454/526], Loss: 0.8364
Epoch [72/100], Step[455/526], Loss: 0.6471
Epoch [72/100], Step[456/526], Loss: 0.6634
Epoch [72/100], Step[457/526], Loss: 0.7098
Epoch [72/100], Step[458/526], Loss: 0.6891
Epoch [72/100], Step[459/526], Loss: 0.6583
Epoch [72/100], Step[460/526], Loss: 0.6417
Epoch [72/100], Step[461/526], Loss: 0.6083
Epoch [72/100], Step[462/526], Loss: 0.6564
Epoch [72/100], Step[463/526], Loss: 0.6509
Epoch [72/100], Step[464/526], Loss: 0.6272
Epoch [72/100], Step[465/526], Loss: 0.6523
Epoch [72/100], Step[466/526], Loss: 0.6727
Epoch [72/100], Step[467/526], Loss: 0.6467
Epoch [72/100], Step[468/526], Loss: 0.6064
Epoch [72/100], Step[469/526], Loss: 0.8217
Epoch [72/100], Step[470/526], Loss: 0.6634
Epoch [72/100], Step[471/526], Loss: 0.6871
Epoch [72/100], Step[472/526], Loss: 0.6792
Epoch [72/100], Step[473/526], Loss: 0.6781
Epoch [72/100], Step[474/526], Loss: 0.6766
Epoch [72/100], Step[475/526], Loss: 0.8402
Epoch [72/100], Step[476/526], Loss: 0.7407
Epoch [72/100], Step[477/526], Loss: 0.7062
Epoch [72/100], Step[478/526], Loss: 0.6770
Epoch [72/100], Step[479/526], Loss: 0.6590
Epoch [72/100], Step[480/526], Loss: 0.7394
Epoch [72/100], Step[481/526], Loss: 0.7303
Epoch [72/100], Step[482/526], Loss: 0.6202
Epoch [72/100], Step[483/526], Loss: 0.5343
Epoch [72/100], Step[484/526], Loss: 0.7067
Epoch [72/100], Step[485/526], Loss: 0.7550
Epoch [72/100], Step[486/526], Loss: 0.7273
Epoch [72/100], Step[487/526], Loss: 0.7286
Epoch [72/100], Step[488/526], Loss: 0.7000
Epoch [72/100], Step[489/526], Loss: 0.6175
Epoch [72/100], Step[490/526], Loss: 0.6084
Epoch [72/100], Step[491/526], Loss: 0.6948
Epoch [72/100], Step[492/526], Loss: 0.6410
Epoch [72/100], Step[493/526], Loss: 0.6347
Epoch [72/100], Step[494/526], Loss: 0.6624
Epoch [72/100], Step[495/526], Loss: 0.6845
Epoch [72/100], Step[496/526], Loss: 0.6620
Epoch [72/100], Step[497/526], Loss: 0.6301
Epoch [72/100], Step[498/526], Loss: 0.6655
Epoch [72/100], Step[499/526], Loss: 0.6673
Epoch [72/100], Step[500/526], Loss: 0.6961
Epoch [72/100], Step[501/526], Loss: 0.6519
Epoch [72/100], Step[502/526], Loss: 0.6965
Epoch [72/100], Step[503/526], Loss: 0.7135
Epoch [72/100], Step[504/526], Loss: 0.7055
Epoch [72/100], Step[505/526], Loss: 0.7112
Epoch [72/100], Step[506/526], Loss: 0.6566
Epoch [72/100], Step[507/526], Loss: 0.6722
Epoch [72/100], Step[508/526], Loss: 0.6951
Epoch [72/100], Step[509/526], Loss: 0.6367
Epoch [72/100], Step[510/526], Loss: 0.7018
Epoch [72/100], Step[511/526], Loss: 0.6372
Epoch [72/100], Step[512/526], Loss: 0.6680
Epoch [72/100], Step[513/526], Loss: 0.6440
Epoch [72/100], Step[514/526], Loss: 0.6537
Epoch [72/100], Step[515/526], Loss: 0.6341
Epoch [72/100], Step[516/526], Loss: 0.7523
Epoch [72/100], Step[517/526], Loss: 0.6952
Epoch [72/100], Step[518/526], Loss: 0.7306
Epoch [72/100], Step[519/526], Loss: 0.7208
Epoch [72/100], Step[520/526], Loss: 0.7025
Epoch [72/100], Step[521/526], Loss: 0.6603
Epoch [72/100], Step[522/526], Loss: 0.5928
Epoch [72/100], Step[523/526], Loss: 0.6475
Epoch [72/100], Step[524/526], Loss: 0.6326
Epoch [72/100], Step[525/526], Loss: 0.7624
Epoch [72/100], Step[526/526], Loss: 0.7223
Epoch [73/100], Step[1/526], Loss: 0.6531
Epoch [73/100], Step[2/526], Loss: 0.6348
Epoch [73/100], Step[3/526], Loss: 0.6785
Epoch [73/100], Step[4/526], Loss: 0.6265
Epoch [73/100], Step[5/526], Loss: 0.7490
Epoch [73/100], Step[6/526], Loss: 0.7699
Epoch [73/100], Step[7/526], Loss: 0.6968
Epoch [73/100], Step[8/526], Loss: 0.6808
Epoch [73/100], Step[9/526], Loss: 0.7023
Epoch [73/100], Step[10/526], Loss: 0.6485
Epoch [73/100], Step[11/526], Loss: 0.7127
Epoch [73/100], Step[12/526], Loss: 0.7534
Epoch [73/100], Step[13/526], Loss: 0.5957
Epoch [73/100], Step[14/526], Loss: 0.6408
Epoch [73/100], Step[15/526], Loss: 0.6853
Epoch [73/100], Step[16/526], Loss: 0.7037
Epoch [73/100], Step[17/526], Loss: 0.7128
Epoch [73/100], Step[18/526], Loss: 0.6632
Epoch [73/100], Step[19/526], Loss: 0.6778
Epoch [73/100], Step[20/526], Loss: 0.7553
Epoch [73/100], Step[21/526], Loss: 0.7606
Epoch [73/100], Step[22/526], Loss: 0.7331
Epoch [73/100], Step[23/526], Loss: 0.7453
Epoch [73/100], Step[24/526], Loss: 0.7154
Epoch [73/100], Step[25/526], Loss: 0.6941
Epoch [73/100], Step[26/526], Loss: 0.6039
Epoch [73/100], Step[27/526], Loss: 0.6677
Epoch [73/100], Step[28/526], Loss: 0.6879
Epoch [73/100], Step[29/526], Loss: 0.6448
Epoch [73/100], Step[30/526], Loss: 0.6912
Epoch [73/100], Step[31/526], Loss: 0.7044
Epoch [73/100], Step[32/526], Loss: 0.6550
Epoch [73/100], Step[33/526], Loss: 0.7209
Epoch [73/100], Step[34/526], Loss: 0.7000
Epoch [73/100], Step[35/526], Loss: 0.7156
Epoch [73/100], Step[36/526], Loss: 0.7074
Epoch [73/100], Step[37/526], Loss: 0.6897
Epoch [73/100], Step[38/526], Loss: 0.7073
Epoch [73/100], Step[39/526], Loss: 0.6890
Epoch [73/100], Step[40/526], Loss: 0.7075
Epoch [73/100], Step[41/526], Loss: 0.6645
Epoch [73/100], Step[42/526], Loss: 0.7295
Epoch [73/100], Step[43/526], Loss: 0.7160
Epoch [73/100], Step[44/526], Loss: 0.6881
Epoch [73/100], Step[45/526], Loss: 0.6857
Epoch [73/100], Step[46/526], Loss: 0.7001
Epoch [73/100], Step[47/526], Loss: 0.7088
Epoch [73/100], Step[48/526], Loss: 0.7276
Epoch [73/100], Step[49/526], Loss: 0.6999
Epoch [73/100], Step[50/526], Loss: 0.7049
Epoch [73/100], Step[51/526], Loss: 0.6970
Epoch [73/100], Step[52/526], Loss: 0.6720
Epoch [73/100], Step[53/526], Loss: 0.7109
Epoch [73/100], Step[54/526], Loss: 0.7084
Epoch [73/100], Step[55/526], Loss: 0.7144
Epoch [73/100], Step[56/526], Loss: 0.6894
Epoch [73/100], Step[57/526], Loss: 0.6838
Epoch [73/100], Step[58/526], Loss: 0.6738
Epoch [73/100], Step[59/526], Loss: 0.6555
Epoch [73/100], Step[60/526], Loss: 0.6677
Epoch [73/100], Step[61/526], Loss: 0.6583
Epoch [73/100], Step[62/526], Loss: 0.6969
Epoch [73/100], Step[63/526], Loss: 0.6879
Epoch [73/100], Step[64/526], Loss: 0.6737
Epoch [73/100], Step[65/526], Loss: 0.7228
Epoch [73/100], Step[66/526], Loss: 0.6816
Epoch [73/100], Step[67/526], Loss: 0.6407
Epoch [73/100], Step[68/526], Loss: 0.6525
Epoch [73/100], Step[69/526], Loss: 0.6929
Epoch [73/100], Step[70/526], Loss: 0.6895
Epoch [73/100], Step[71/526], Loss: 0.6716
Epoch [73/100], Step[72/526], Loss: 0.6796
Epoch [73/100], Step[73/526], Loss: 0.7151
Epoch [73/100], Step[74/526], Loss: 0.6530
Epoch [73/100], Step[75/526], Loss: 0.7041
Epoch [73/100], Step[76/526], Loss: 0.6791
Epoch [73/100], Step[77/526], Loss: 0.6977
Epoch [73/100], Step[78/526], Loss: 0.7127
Epoch [73/100], Step[79/526], Loss: 0.6881
Epoch [73/100], Step[80/526], Loss: 0.6917
Epoch [73/100], Step[81/526], Loss: 0.6880
Epoch [73/100], Step[82/526], Loss: 0.7226
Epoch [73/100], Step[83/526], Loss: 0.7010
Epoch [73/100], Step[84/526], Loss: 0.6758
Epoch [73/100], Step[85/526], Loss: 0.6523
Epoch [73/100], Step[86/526], Loss: 0.6874
Epoch [73/100], Step[87/526], Loss: 0.6808
Epoch [73/100], Step[88/526], Loss: 0.6947
Epoch [73/100], Step[89/526], Loss: 0.7208
Epoch [73/100], Step[90/526], Loss: 0.6838
Epoch [73/100], Step[91/526], Loss: 0.6749
Epoch [73/100], Step[92/526], Loss: 0.6749
Epoch [73/100], Step[93/526], Loss: 0.6787
Epoch [73/100], Step[94/526], Loss: 0.8096
Epoch [73/100], Step[95/526], Loss: 0.7186
Epoch [73/100], Step[96/526], Loss: 0.6211
Epoch [73/100], Step[97/526], Loss: 0.5973
Epoch [73/100], Step[98/526], Loss: 0.6889
Epoch [73/100], Step[99/526], Loss: 0.6878
Epoch [73/100], Step[100/526], Loss: 0.6612
Epoch [73/100], Step[101/526], Loss: 0.6585
Epoch [73/100], Step[102/526], Loss: 0.6250
Epoch [73/100], Step[103/526], Loss: 0.6871
Epoch [73/100], Step[104/526], Loss: 0.6444
Epoch [73/100], Step[105/526], Loss: 0.6349
Epoch [73/100], Step[106/526], Loss: 0.6835
Epoch [73/100], Step[107/526], Loss: 0.6257
Epoch [73/100], Step[108/526], Loss: 0.5799
Epoch [73/100], Step[109/526], Loss: 0.6824
Epoch [73/100], Step[110/526], Loss: 0.6907
Epoch [73/100], Step[111/526], Loss: 0.5894
Epoch [73/100], Step[112/526], Loss: 0.7311
Epoch [73/100], Step[113/526], Loss: 0.6112
Epoch [73/100], Step[114/526], Loss: 0.6640
Epoch [73/100], Step[115/526], Loss: 0.5981
Epoch [73/100], Step[116/526], Loss: 0.6335
Epoch [73/100], Step[117/526], Loss: 0.6695
Epoch [73/100], Step[118/526], Loss: 0.7465
Epoch [73/100], Step[119/526], Loss: 0.6756
Epoch [73/100], Step[120/526], Loss: 0.6689
Epoch [73/100], Step[121/526], Loss: 0.6841
Epoch [73/100], Step[122/526], Loss: 0.6267
Epoch [73/100], Step[123/526], Loss: 0.6546
Epoch [73/100], Step[124/526], Loss: 0.6661
Epoch [73/100], Step[125/526], Loss: 0.6420
Epoch [73/100], Step[126/526], Loss: 0.7117
Epoch [73/100], Step[127/526], Loss: 0.6640
Epoch [73/100], Step[128/526], Loss: 0.6406
Epoch [73/100], Step[129/526], Loss: 0.6002
Epoch [73/100], Step[130/526], Loss: 0.6413
Epoch [73/100], Step[131/526], Loss: 0.6618
Epoch [73/100], Step[132/526], Loss: 0.7117
Epoch [73/100], Step[133/526], Loss: 0.6875
Epoch [73/100], Step[134/526], Loss: 0.6292
Epoch [73/100], Step[135/526], Loss: 0.6430
Epoch [73/100], Step[136/526], Loss: 0.5664
Epoch [73/100], Step[137/526], Loss: 0.6276
Epoch [73/100], Step[138/526], Loss: 0.6437
Epoch [73/100], Step[139/526], Loss: 0.6856
Epoch [73/100], Step[140/526], Loss: 0.5948
Epoch [73/100], Step[141/526], Loss: 0.6721
Epoch [73/100], Step[142/526], Loss: 0.6684
Epoch [73/100], Step[143/526], Loss: 0.6880
Epoch [73/100], Step[144/526], Loss: 0.7698
Epoch [73/100], Step[145/526], Loss: 0.5233
Epoch [73/100], Step[146/526], Loss: 0.5116
Epoch [73/100], Step[147/526], Loss: 0.4842
Epoch [73/100], Step[148/526], Loss: 0.5959
Epoch [73/100], Step[149/526], Loss: 0.4779
Epoch [73/100], Step[150/526], Loss: 0.5561
Epoch [73/100], Step[151/526], Loss: 0.5513
Epoch [73/100], Step[152/526], Loss: 0.6287
Epoch [73/100], Step[153/526], Loss: 0.6417
Epoch [73/100], Step[154/526], Loss: 0.6715
Epoch [73/100], Step[155/526], Loss: 0.6637
Epoch [73/100], Step[156/526], Loss: 0.5670
Epoch [73/100], Step[157/526], Loss: 0.2934
Epoch [73/100], Step[158/526], Loss: 0.6024
Epoch [73/100], Step[159/526], Loss: 0.6356
Epoch [73/100], Step[160/526], Loss: 0.5530
Epoch [73/100], Step[161/526], Loss: 0.8280
Epoch [73/100], Step[162/526], Loss: 0.7117
Epoch [73/100], Step[163/526], Loss: 0.7041
Epoch [73/100], Step[164/526], Loss: 0.6261
Epoch [73/100], Step[165/526], Loss: 0.6975
Epoch [73/100], Step[166/526], Loss: 0.5267
Epoch [73/100], Step[167/526], Loss: 0.5629
Epoch [73/100], Step[168/526], Loss: 0.6940
Epoch [73/100], Step[169/526], Loss: 0.7274
Epoch [73/100], Step[170/526], Loss: 0.7271
Epoch [73/100], Step[171/526], Loss: 0.7190
Epoch [73/100], Step[172/526], Loss: 0.7204
Epoch [73/100], Step[173/526], Loss: 0.8257
Epoch [73/100], Step[174/526], Loss: 0.6227
Epoch [73/100], Step[175/526], Loss: 0.6322
Epoch [73/100], Step[176/526], Loss: 0.6803
Epoch [73/100], Step[177/526], Loss: 0.6713
Epoch [73/100], Step[178/526], Loss: 0.6975
Epoch [73/100], Step[179/526], Loss: 0.6206
Epoch [73/100], Step[180/526], Loss: 0.6241
Epoch [73/100], Step[181/526], Loss: 0.6553
Epoch [73/100], Step[182/526], Loss: 0.6836
Epoch [73/100], Step[183/526], Loss: 0.5452
Epoch [73/100], Step[184/526], Loss: 0.5606
Epoch [73/100], Step[185/526], Loss: 0.5814
Epoch [73/100], Step[186/526], Loss: 0.6249
Epoch [73/100], Step[187/526], Loss: 0.7576
Epoch [73/100], Step[188/526], Loss: 0.7634
Epoch [73/100], Step[189/526], Loss: 0.6795
Epoch [73/100], Step[190/526], Loss: 0.6759
Epoch [73/100], Step[191/526], Loss: 0.7338
Epoch [73/100], Step[192/526], Loss: 0.8500
Epoch [73/100], Step[193/526], Loss: 0.6102
Epoch [73/100], Step[194/526], Loss: 0.6409
Epoch [73/100], Step[195/526], Loss: 0.6250
Epoch [73/100], Step[196/526], Loss: 0.7073
Epoch [73/100], Step[197/526], Loss: 0.6342
Epoch [73/100], Step[198/526], Loss: 0.5926
Epoch [73/100], Step[199/526], Loss: 0.7238
Epoch [73/100], Step[200/526], Loss: 0.6441
Epoch [73/100], Step[201/526], Loss: 0.6917
Epoch [73/100], Step[202/526], Loss: 0.8162
Epoch [73/100], Step[203/526], Loss: 0.6559
Epoch [73/100], Step[204/526], Loss: 0.8014
Epoch [73/100], Step[205/526], Loss: 0.7116
Epoch [73/100], Step[206/526], Loss: 0.6885
Epoch [73/100], Step[207/526], Loss: 0.7156
Epoch [73/100], Step[208/526], Loss: 0.6972
Epoch [73/100], Step[209/526], Loss: 0.7004
Epoch [73/100], Step[210/526], Loss: 0.8004
Epoch [73/100], Step[211/526], Loss: 0.6238
Epoch [73/100], Step[212/526], Loss: 0.6956
Epoch [73/100], Step[213/526], Loss: 0.7320
Epoch [73/100], Step[214/526], Loss: 0.7355
Epoch [73/100], Step[215/526], Loss: 0.6968
Epoch [73/100], Step[216/526], Loss: 0.6750
Epoch [73/100], Step[217/526], Loss: 0.6733
Epoch [73/100], Step[218/526], Loss: 0.7004
Epoch [73/100], Step[219/526], Loss: 0.6927
Epoch [73/100], Step[220/526], Loss: 0.7436
Epoch [73/100], Step[221/526], Loss: 0.6965
Epoch [73/100], Step[222/526], Loss: 0.7695
Epoch [73/100], Step[223/526], Loss: 0.6612
Epoch [73/100], Step[224/526], Loss: 0.6623
Epoch [73/100], Step[225/526], Loss: 0.7419
Epoch [73/100], Step[226/526], Loss: 0.6635
Epoch [73/100], Step[227/526], Loss: 0.6590
Epoch [73/100], Step[228/526], Loss: 0.6472
Epoch [73/100], Step[229/526], Loss: 0.6734
Epoch [73/100], Step[230/526], Loss: 0.6583
Epoch [73/100], Step[231/526], Loss: 0.6665
Epoch [73/100], Step[232/526], Loss: 0.7124
Epoch [73/100], Step[233/526], Loss: 0.6794
Epoch [73/100], Step[234/526], Loss: 0.6506
Epoch [73/100], Step[235/526], Loss: 0.6970
Epoch [73/100], Step[236/526], Loss: 0.6969
Epoch [73/100], Step[237/526], Loss: 0.7129
Epoch [73/100], Step[238/526], Loss: 0.6691
Epoch [73/100], Step[239/526], Loss: 0.6554
Epoch [73/100], Step[240/526], Loss: 0.7211
Epoch [73/100], Step[241/526], Loss: 0.6904
Epoch [73/100], Step[242/526], Loss: 0.7096
Epoch [73/100], Step[243/526], Loss: 0.6378
Epoch [73/100], Step[244/526], Loss: 0.6045
Epoch [73/100], Step[245/526], Loss: 0.6236
Epoch [73/100], Step[246/526], Loss: 0.6515
Epoch [73/100], Step[247/526], Loss: 0.5820
Epoch [73/100], Step[248/526], Loss: 0.6341
Epoch [73/100], Step[249/526], Loss: 0.6734
Epoch [73/100], Step[250/526], Loss: 0.6816
Epoch [73/100], Step[251/526], Loss: 0.6655
Epoch [73/100], Step[252/526], Loss: 0.6850
Epoch [73/100], Step[253/526], Loss: 0.6055
Epoch [73/100], Step[254/526], Loss: 0.6572
Epoch [73/100], Step[255/526], Loss: 0.5523
Epoch [73/100], Step[256/526], Loss: 0.6731
Epoch [73/100], Step[257/526], Loss: 0.6459
Epoch [73/100], Step[258/526], Loss: 0.6216
Epoch [73/100], Step[259/526], Loss: 0.6931
Epoch [73/100], Step[260/526], Loss: 0.7949
Epoch [73/100], Step[261/526], Loss: 0.8135
Epoch [73/100], Step[262/526], Loss: 0.6637
Epoch [73/100], Step[263/526], Loss: 0.6672
Epoch [73/100], Step[264/526], Loss: 0.6341
Epoch [73/100], Step[265/526], Loss: 0.5925
Epoch [73/100], Step[266/526], Loss: 0.5897
Epoch [73/100], Step[267/526], Loss: 0.4832
Epoch [73/100], Step[268/526], Loss: 0.5497
Epoch [73/100], Step[269/526], Loss: 0.4210
Epoch [73/100], Step[270/526], Loss: 0.3744
Epoch [73/100], Step[271/526], Loss: 0.5113
Epoch [73/100], Step[272/526], Loss: 0.5119
Epoch [73/100], Step[273/526], Loss: 0.6453
Epoch [73/100], Step[274/526], Loss: 0.4383
Epoch [73/100], Step[275/526], Loss: 0.3654
Epoch [73/100], Step[276/526], Loss: 0.4823
Epoch [73/100], Step[277/526], Loss: 0.3672
Epoch [73/100], Step[278/526], Loss: 0.4383
Epoch [73/100], Step[279/526], Loss: 0.3953
Epoch [73/100], Step[280/526], Loss: 0.4424
Epoch [73/100], Step[281/526], Loss: 0.6656
Epoch [73/100], Step[282/526], Loss: 0.3764
Epoch [73/100], Step[283/526], Loss: 0.3842
Epoch [73/100], Step[284/526], Loss: 0.4070
Epoch [73/100], Step[285/526], Loss: 0.2876
Epoch [73/100], Step[286/526], Loss: 0.6985
Epoch [73/100], Step[287/526], Loss: 0.5198
Epoch [73/100], Step[288/526], Loss: 0.3874
Epoch [73/100], Step[289/526], Loss: 0.5970
Epoch [73/100], Step[290/526], Loss: 0.4338
Epoch [73/100], Step[291/526], Loss: 0.4968
Epoch [73/100], Step[292/526], Loss: 0.2634
Epoch [73/100], Step[293/526], Loss: 0.3130
Epoch [73/100], Step[294/526], Loss: 0.3245
Epoch [73/100], Step[295/526], Loss: 0.3918
Epoch [73/100], Step[296/526], Loss: 0.5967
Epoch [73/100], Step[297/526], Loss: 0.3079
Epoch [73/100], Step[298/526], Loss: 0.2827
Epoch [73/100], Step[299/526], Loss: 0.2192
Epoch [73/100], Step[300/526], Loss: 0.2657
Epoch [73/100], Step[301/526], Loss: 0.6179
Epoch [73/100], Step[302/526], Loss: 0.3455
Epoch [73/100], Step[303/526], Loss: 0.4519
Epoch [73/100], Step[304/526], Loss: 0.2426
Epoch [73/100], Step[305/526], Loss: 0.2428
Epoch [73/100], Step[306/526], Loss: 0.6063
Epoch [73/100], Step[307/526], Loss: 0.8997
Epoch [73/100], Step[308/526], Loss: 1.3794
Epoch [73/100], Step[309/526], Loss: 1.0096
Epoch [73/100], Step[310/526], Loss: 0.9751
Epoch [73/100], Step[311/526], Loss: 0.8416
Epoch [73/100], Step[312/526], Loss: 0.4940
Epoch [73/100], Step[313/526], Loss: 0.4368
Epoch [73/100], Step[314/526], Loss: 0.5840
Epoch [73/100], Step[315/526], Loss: 0.6799
Epoch [73/100], Step[316/526], Loss: 0.4967
Epoch [73/100], Step[317/526], Loss: 0.3334
Epoch [73/100], Step[318/526], Loss: 0.7316
Epoch [73/100], Step[319/526], Loss: 0.3807
Epoch [73/100], Step[320/526], Loss: 0.6164
Epoch [73/100], Step[321/526], Loss: 0.7488
Epoch [73/100], Step[322/526], Loss: 0.2809
Epoch [73/100], Step[323/526], Loss: 0.6127
Epoch [73/100], Step[324/526], Loss: 0.6350
Epoch [73/100], Step[325/526], Loss: 0.5532
Epoch [73/100], Step[326/526], Loss: 0.7492
Epoch [73/100], Step[327/526], Loss: 0.7656
Epoch [73/100], Step[328/526], Loss: 0.9191
Epoch [73/100], Step[329/526], Loss: 1.2622
Epoch [73/100], Step[330/526], Loss: 1.0115
Epoch [73/100], Step[331/526], Loss: 0.7927
Epoch [73/100], Step[332/526], Loss: 0.8341
Epoch [73/100], Step[333/526], Loss: 0.7361
Epoch [73/100], Step[334/526], Loss: 0.7751
Epoch [73/100], Step[335/526], Loss: 0.7627
Epoch [73/100], Step[336/526], Loss: 0.6848
Epoch [73/100], Step[337/526], Loss: 0.5813
Epoch [73/100], Step[338/526], Loss: 0.7145
Epoch [73/100], Step[339/526], Loss: 0.6432
Epoch [73/100], Step[340/526], Loss: 0.7228
Epoch [73/100], Step[341/526], Loss: 0.7421
Epoch [73/100], Step[342/526], Loss: 0.7445
Epoch [73/100], Step[343/526], Loss: 0.5357
Epoch [73/100], Step[344/526], Loss: 0.7070
Epoch [73/100], Step[345/526], Loss: 0.6887
Epoch [73/100], Step[346/526], Loss: 0.6610
Epoch [73/100], Step[347/526], Loss: 0.7169
Epoch [73/100], Step[348/526], Loss: 0.6217
Epoch [73/100], Step[349/526], Loss: 0.5748
Epoch [73/100], Step[350/526], Loss: 0.6562
Epoch [73/100], Step[351/526], Loss: 0.6936
Epoch [73/100], Step[352/526], Loss: 0.6156
Epoch [73/100], Step[353/526], Loss: 0.6694
Epoch [73/100], Step[354/526], Loss: 0.6660
Epoch [73/100], Step[355/526], Loss: 0.6608
Epoch [73/100], Step[356/526], Loss: 0.6920
Epoch [73/100], Step[357/526], Loss: 0.6562
Epoch [73/100], Step[358/526], Loss: 0.6955
Epoch [73/100], Step[359/526], Loss: 0.6345
Epoch [73/100], Step[360/526], Loss: 0.6862
Epoch [73/100], Step[361/526], Loss: 0.7228
Epoch [73/100], Step[362/526], Loss: 0.7077
Epoch [73/100], Step[363/526], Loss: 0.6966
Epoch [73/100], Step[364/526], Loss: 0.7317
Epoch [73/100], Step[365/526], Loss: 0.7290
Epoch [73/100], Step[366/526], Loss: 0.6829
Epoch [73/100], Step[367/526], Loss: 0.6844
Epoch [73/100], Step[368/526], Loss: 0.6507
Epoch [73/100], Step[369/526], Loss: 0.6468
Epoch [73/100], Step[370/526], Loss: 0.5668
Epoch [73/100], Step[371/526], Loss: 0.7490
Epoch [73/100], Step[372/526], Loss: 0.6266
Epoch [73/100], Step[373/526], Loss: 0.6785
Epoch [73/100], Step[374/526], Loss: 0.7081
Epoch [73/100], Step[375/526], Loss: 0.6434
Epoch [73/100], Step[376/526], Loss: 0.6412
Epoch [73/100], Step[377/526], Loss: 0.6954
Epoch [73/100], Step[378/526], Loss: 0.6895
Epoch [73/100], Step[379/526], Loss: 0.7789
Epoch [73/100], Step[380/526], Loss: 0.6030
Epoch [73/100], Step[381/526], Loss: 0.5846
Epoch [73/100], Step[382/526], Loss: 0.6740
Epoch [73/100], Step[383/526], Loss: 0.6980
Epoch [73/100], Step[384/526], Loss: 0.6310
Epoch [73/100], Step[385/526], Loss: 0.6274
Epoch [73/100], Step[386/526], Loss: 0.6686
Epoch [73/100], Step[387/526], Loss: 0.6678
Epoch [73/100], Step[388/526], Loss: 0.5883
Epoch [73/100], Step[389/526], Loss: 0.7319
Epoch [73/100], Step[390/526], Loss: 0.5812
Epoch [73/100], Step[391/526], Loss: 0.6462
Epoch [73/100], Step[392/526], Loss: 0.7098
Epoch [73/100], Step[393/526], Loss: 0.5839
Epoch [73/100], Step[394/526], Loss: 0.5168
Epoch [73/100], Step[395/526], Loss: 0.5939
Epoch [73/100], Step[396/526], Loss: 0.6195
Epoch [73/100], Step[397/526], Loss: 0.4714
Epoch [73/100], Step[398/526], Loss: 0.6048
Epoch [73/100], Step[399/526], Loss: 0.6563
Epoch [73/100], Step[400/526], Loss: 0.4808
Epoch [73/100], Step[401/526], Loss: 0.6044
Epoch [73/100], Step[402/526], Loss: 0.6498
Epoch [73/100], Step[403/526], Loss: 0.7337
Epoch [73/100], Step[404/526], Loss: 0.4802
Epoch [73/100], Step[405/526], Loss: 0.5032
Epoch [73/100], Step[406/526], Loss: 0.6297
Epoch [73/100], Step[407/526], Loss: 0.7588
Epoch [73/100], Step[408/526], Loss: 0.6493
Epoch [73/100], Step[409/526], Loss: 0.4842
Epoch [73/100], Step[410/526], Loss: 0.4998
Epoch [73/100], Step[411/526], Loss: 0.5420
Epoch [73/100], Step[412/526], Loss: 0.5983
Epoch [73/100], Step[413/526], Loss: 0.6089
Epoch [73/100], Step[414/526], Loss: 0.6499
Epoch [73/100], Step[415/526], Loss: 0.5994
Epoch [73/100], Step[416/526], Loss: 0.5609
Epoch [73/100], Step[417/526], Loss: 0.4649
Epoch [73/100], Step[418/526], Loss: 0.7367
Epoch [73/100], Step[419/526], Loss: 0.6894
Epoch [73/100], Step[420/526], Loss: 0.6799
Epoch [73/100], Step[421/526], Loss: 0.6560
Epoch [73/100], Step[422/526], Loss: 0.7478
Epoch [73/100], Step[423/526], Loss: 0.6914
Epoch [73/100], Step[424/526], Loss: 0.7498
Epoch [73/100], Step[425/526], Loss: 0.6968
Epoch [73/100], Step[426/526], Loss: 0.7562
Epoch [73/100], Step[427/526], Loss: 0.7044
Epoch [73/100], Step[428/526], Loss: 0.7134
Epoch [73/100], Step[429/526], Loss: 0.7369
Epoch [73/100], Step[430/526], Loss: 0.7815
Epoch [73/100], Step[431/526], Loss: 0.7052
Epoch [73/100], Step[432/526], Loss: 0.7283
Epoch [73/100], Step[433/526], Loss: 0.6719
Epoch [73/100], Step[434/526], Loss: 0.6040
Epoch [73/100], Step[435/526], Loss: 0.7718
Epoch [73/100], Step[436/526], Loss: 0.7917
Epoch [73/100], Step[437/526], Loss: 0.4944
Epoch [73/100], Step[438/526], Loss: 0.3678
Epoch [73/100], Step[439/526], Loss: 0.7195
Epoch [73/100], Step[440/526], Loss: 0.6833
Epoch [73/100], Step[441/526], Loss: 0.6955
Epoch [73/100], Step[442/526], Loss: 0.6466
Epoch [73/100], Step[443/526], Loss: 0.6715
Epoch [73/100], Step[444/526], Loss: 0.7583
Epoch [73/100], Step[445/526], Loss: 0.7048
Epoch [73/100], Step[446/526], Loss: 0.7058
Epoch [73/100], Step[447/526], Loss: 0.7214
Epoch [73/100], Step[448/526], Loss: 0.7170
Epoch [73/100], Step[449/526], Loss: 0.6738
Epoch [73/100], Step[450/526], Loss: 0.5935
Epoch [73/100], Step[451/526], Loss: 0.6679
Epoch [73/100], Step[452/526], Loss: 0.7289
Epoch [73/100], Step[453/526], Loss: 0.7120
Epoch [73/100], Step[454/526], Loss: 0.8431
Epoch [73/100], Step[455/526], Loss: 0.6421
Epoch [73/100], Step[456/526], Loss: 0.6391
Epoch [73/100], Step[457/526], Loss: 0.7103
Epoch [73/100], Step[458/526], Loss: 0.6866
Epoch [73/100], Step[459/526], Loss: 0.6535
Epoch [73/100], Step[460/526], Loss: 0.6386
Epoch [73/100], Step[461/526], Loss: 0.6067
Epoch [73/100], Step[462/526], Loss: 0.6489
Epoch [73/100], Step[463/526], Loss: 0.6502
Epoch [73/100], Step[464/526], Loss: 0.6297
Epoch [73/100], Step[465/526], Loss: 0.6475
Epoch [73/100], Step[466/526], Loss: 0.6744
Epoch [73/100], Step[467/526], Loss: 0.6394
Epoch [73/100], Step[468/526], Loss: 0.6065
Epoch [73/100], Step[469/526], Loss: 0.8305
Epoch [73/100], Step[470/526], Loss: 0.6640
Epoch [73/100], Step[471/526], Loss: 0.6874
Epoch [73/100], Step[472/526], Loss: 0.6810
Epoch [73/100], Step[473/526], Loss: 0.6752
Epoch [73/100], Step[474/526], Loss: 0.6767
Epoch [73/100], Step[475/526], Loss: 0.8405
Epoch [73/100], Step[476/526], Loss: 0.7424
Epoch [73/100], Step[477/526], Loss: 0.7024
Epoch [73/100], Step[478/526], Loss: 0.6789
Epoch [73/100], Step[479/526], Loss: 0.6592
Epoch [73/100], Step[480/526], Loss: 0.7386
Epoch [73/100], Step[481/526], Loss: 0.7289
Epoch [73/100], Step[482/526], Loss: 0.6209
Epoch [73/100], Step[483/526], Loss: 0.5316
Epoch [73/100], Step[484/526], Loss: 0.7038
Epoch [73/100], Step[485/526], Loss: 0.7655
Epoch [73/100], Step[486/526], Loss: 0.7281
Epoch [73/100], Step[487/526], Loss: 0.7388
Epoch [73/100], Step[488/526], Loss: 0.6865
Epoch [73/100], Step[489/526], Loss: 0.6142
Epoch [73/100], Step[490/526], Loss: 0.6052
Epoch [73/100], Step[491/526], Loss: 0.6911
Epoch [73/100], Step[492/526], Loss: 0.6444
Epoch [73/100], Step[493/526], Loss: 0.6329
Epoch [73/100], Step[494/526], Loss: 0.6622
Epoch [73/100], Step[495/526], Loss: 0.6868
Epoch [73/100], Step[496/526], Loss: 0.6610
Epoch [73/100], Step[497/526], Loss: 0.6288
Epoch [73/100], Step[498/526], Loss: 0.6669
Epoch [73/100], Step[499/526], Loss: 0.6673
Epoch [73/100], Step[500/526], Loss: 0.6944
Epoch [73/100], Step[501/526], Loss: 0.6529
Epoch [73/100], Step[502/526], Loss: 0.6947
Epoch [73/100], Step[503/526], Loss: 0.7137
Epoch [73/100], Step[504/526], Loss: 0.6999
Epoch [73/100], Step[505/526], Loss: 0.7118
Epoch [73/100], Step[506/526], Loss: 0.6622
Epoch [73/100], Step[507/526], Loss: 0.6720
Epoch [73/100], Step[508/526], Loss: 0.6965
Epoch [73/100], Step[509/526], Loss: 0.6372
Epoch [73/100], Step[510/526], Loss: 0.7026
Epoch [73/100], Step[511/526], Loss: 0.6368
Epoch [73/100], Step[512/526], Loss: 0.6668
Epoch [73/100], Step[513/526], Loss: 0.6457
Epoch [73/100], Step[514/526], Loss: 0.6550
Epoch [73/100], Step[515/526], Loss: 0.6716
Epoch [73/100], Step[516/526], Loss: 0.7538
Epoch [73/100], Step[517/526], Loss: 0.6967
Epoch [73/100], Step[518/526], Loss: 0.7305
Epoch [73/100], Step[519/526], Loss: 0.7215
Epoch [73/100], Step[520/526], Loss: 0.6799
Epoch [73/100], Step[521/526], Loss: 0.6639
Epoch [73/100], Step[522/526], Loss: 0.5919
Epoch [73/100], Step[523/526], Loss: 0.6430
Epoch [73/100], Step[524/526], Loss: 0.6215
Epoch [73/100], Step[525/526], Loss: 0.7640
Epoch [73/100], Step[526/526], Loss: 0.7243
Epoch [74/100], Step[1/526], Loss: 0.6541
Epoch [74/100], Step[2/526], Loss: 0.6348
Epoch [74/100], Step[3/526], Loss: 0.6715
Epoch [74/100], Step[4/526], Loss: 0.6233
Epoch [74/100], Step[5/526], Loss: 0.7498
Epoch [74/100], Step[6/526], Loss: 0.7731
Epoch [74/100], Step[7/526], Loss: 0.6898
Epoch [74/100], Step[8/526], Loss: 0.6799
Epoch [74/100], Step[9/526], Loss: 0.7037
Epoch [74/100], Step[10/526], Loss: 0.6455
Epoch [74/100], Step[11/526], Loss: 0.7039
Epoch [74/100], Step[12/526], Loss: 0.7608
Epoch [74/100], Step[13/526], Loss: 0.5959
Epoch [74/100], Step[14/526], Loss: 0.6504
Epoch [74/100], Step[15/526], Loss: 0.6854
Epoch [74/100], Step[16/526], Loss: 0.7045
Epoch [74/100], Step[17/526], Loss: 0.7003
Epoch [74/100], Step[18/526], Loss: 0.6908
Epoch [74/100], Step[19/526], Loss: 0.7242
Epoch [74/100], Step[20/526], Loss: 0.7494
Epoch [74/100], Step[21/526], Loss: 0.7583
Epoch [74/100], Step[22/526], Loss: 0.7268
Epoch [74/100], Step[23/526], Loss: 0.7532
Epoch [74/100], Step[24/526], Loss: 0.7150
Epoch [74/100], Step[25/526], Loss: 0.6925
Epoch [74/100], Step[26/526], Loss: 0.6114
Epoch [74/100], Step[27/526], Loss: 0.6784
Epoch [74/100], Step[28/526], Loss: 0.6979
Epoch [74/100], Step[29/526], Loss: 0.6434
Epoch [74/100], Step[30/526], Loss: 0.6905
Epoch [74/100], Step[31/526], Loss: 0.7033
Epoch [74/100], Step[32/526], Loss: 0.6479
Epoch [74/100], Step[33/526], Loss: 0.7196
Epoch [74/100], Step[34/526], Loss: 0.6970
Epoch [74/100], Step[35/526], Loss: 0.7155
Epoch [74/100], Step[36/526], Loss: 0.7010
Epoch [74/100], Step[37/526], Loss: 0.6920
Epoch [74/100], Step[38/526], Loss: 0.7077
Epoch [74/100], Step[39/526], Loss: 0.6899
Epoch [74/100], Step[40/526], Loss: 0.7082
Epoch [74/100], Step[41/526], Loss: 0.6590
Epoch [74/100], Step[42/526], Loss: 0.7308
Epoch [74/100], Step[43/526], Loss: 0.7141
Epoch [74/100], Step[44/526], Loss: 0.6861
Epoch [74/100], Step[45/526], Loss: 0.6864
Epoch [74/100], Step[46/526], Loss: 0.7009
Epoch [74/100], Step[47/526], Loss: 0.7090
Epoch [74/100], Step[48/526], Loss: 0.7324
Epoch [74/100], Step[49/526], Loss: 0.7007
Epoch [74/100], Step[50/526], Loss: 0.7011
Epoch [74/100], Step[51/526], Loss: 0.6958
Epoch [74/100], Step[52/526], Loss: 0.6719
Epoch [74/100], Step[53/526], Loss: 0.7102
Epoch [74/100], Step[54/526], Loss: 0.7112
Epoch [74/100], Step[55/526], Loss: 0.7216
Epoch [74/100], Step[56/526], Loss: 0.6888
Epoch [74/100], Step[57/526], Loss: 0.6839
Epoch [74/100], Step[58/526], Loss: 0.6732
Epoch [74/100], Step[59/526], Loss: 0.6535
Epoch [74/100], Step[60/526], Loss: 0.6668
Epoch [74/100], Step[61/526], Loss: 0.6628
Epoch [74/100], Step[62/526], Loss: 0.6975
Epoch [74/100], Step[63/526], Loss: 0.6890
Epoch [74/100], Step[64/526], Loss: 0.6736
Epoch [74/100], Step[65/526], Loss: 0.7256
Epoch [74/100], Step[66/526], Loss: 0.6803
Epoch [74/100], Step[67/526], Loss: 0.6362
Epoch [74/100], Step[68/526], Loss: 0.6530
Epoch [74/100], Step[69/526], Loss: 0.6941
Epoch [74/100], Step[70/526], Loss: 0.6898
Epoch [74/100], Step[71/526], Loss: 0.6730
Epoch [74/100], Step[72/526], Loss: 0.6789
Epoch [74/100], Step[73/526], Loss: 0.7168
Epoch [74/100], Step[74/526], Loss: 0.6525
Epoch [74/100], Step[75/526], Loss: 0.7037
Epoch [74/100], Step[76/526], Loss: 0.6782
Epoch [74/100], Step[77/526], Loss: 0.6982
Epoch [74/100], Step[78/526], Loss: 0.7136
Epoch [74/100], Step[79/526], Loss: 0.6869
Epoch [74/100], Step[80/526], Loss: 0.6917
Epoch [74/100], Step[81/526], Loss: 0.6879
Epoch [74/100], Step[82/526], Loss: 0.7206
Epoch [74/100], Step[83/526], Loss: 0.7034
Epoch [74/100], Step[84/526], Loss: 0.6755
Epoch [74/100], Step[85/526], Loss: 0.6535
Epoch [74/100], Step[86/526], Loss: 0.6864
Epoch [74/100], Step[87/526], Loss: 0.6811
Epoch [74/100], Step[88/526], Loss: 0.6932
Epoch [74/100], Step[89/526], Loss: 0.7212
Epoch [74/100], Step[90/526], Loss: 0.6821
Epoch [74/100], Step[91/526], Loss: 0.6746
Epoch [74/100], Step[92/526], Loss: 0.6780
Epoch [74/100], Step[93/526], Loss: 0.6775
Epoch [74/100], Step[94/526], Loss: 0.8125
Epoch [74/100], Step[95/526], Loss: 0.7190
Epoch [74/100], Step[96/526], Loss: 0.6211
Epoch [74/100], Step[97/526], Loss: 0.5973
Epoch [74/100], Step[98/526], Loss: 0.6914
Epoch [74/100], Step[99/526], Loss: 0.6854
Epoch [74/100], Step[100/526], Loss: 0.6681
Epoch [74/100], Step[101/526], Loss: 0.6581
Epoch [74/100], Step[102/526], Loss: 0.6224
Epoch [74/100], Step[103/526], Loss: 0.6778
Epoch [74/100], Step[104/526], Loss: 0.6432
Epoch [74/100], Step[105/526], Loss: 0.6320
Epoch [74/100], Step[106/526], Loss: 0.6840
Epoch [74/100], Step[107/526], Loss: 0.6260
Epoch [74/100], Step[108/526], Loss: 0.5805
Epoch [74/100], Step[109/526], Loss: 0.6760
Epoch [74/100], Step[110/526], Loss: 0.6924
Epoch [74/100], Step[111/526], Loss: 0.5884
Epoch [74/100], Step[112/526], Loss: 0.7350
Epoch [74/100], Step[113/526], Loss: 0.6122
Epoch [74/100], Step[114/526], Loss: 0.6640
Epoch [74/100], Step[115/526], Loss: 0.5981
Epoch [74/100], Step[116/526], Loss: 0.6331
Epoch [74/100], Step[117/526], Loss: 0.6686
Epoch [74/100], Step[118/526], Loss: 0.7452
Epoch [74/100], Step[119/526], Loss: 0.6757
Epoch [74/100], Step[120/526], Loss: 0.6717
Epoch [74/100], Step[121/526], Loss: 0.6849
Epoch [74/100], Step[122/526], Loss: 0.6279
Epoch [74/100], Step[123/526], Loss: 0.6542
Epoch [74/100], Step[124/526], Loss: 0.6672
Epoch [74/100], Step[125/526], Loss: 0.6424
Epoch [74/100], Step[126/526], Loss: 0.7116
Epoch [74/100], Step[127/526], Loss: 0.6611
Epoch [74/100], Step[128/526], Loss: 0.6400
Epoch [74/100], Step[129/526], Loss: 0.6031
Epoch [74/100], Step[130/526], Loss: 0.6439
Epoch [74/100], Step[131/526], Loss: 0.6669
Epoch [74/100], Step[132/526], Loss: 0.7102
Epoch [74/100], Step[133/526], Loss: 0.6866
Epoch [74/100], Step[134/526], Loss: 0.6297
Epoch [74/100], Step[135/526], Loss: 0.6436
Epoch [74/100], Step[136/526], Loss: 0.5654
Epoch [74/100], Step[137/526], Loss: 0.6244
Epoch [74/100], Step[138/526], Loss: 0.6394
Epoch [74/100], Step[139/526], Loss: 0.6841
Epoch [74/100], Step[140/526], Loss: 0.5982
Epoch [74/100], Step[141/526], Loss: 0.6757
Epoch [74/100], Step[142/526], Loss: 0.6682
Epoch [74/100], Step[143/526], Loss: 0.6828
Epoch [74/100], Step[144/526], Loss: 0.7652
Epoch [74/100], Step[145/526], Loss: 0.5189
Epoch [74/100], Step[146/526], Loss: 0.5170
Epoch [74/100], Step[147/526], Loss: 0.4890
Epoch [74/100], Step[148/526], Loss: 0.5967
Epoch [74/100], Step[149/526], Loss: 0.4832
Epoch [74/100], Step[150/526], Loss: 0.5619
Epoch [74/100], Step[151/526], Loss: 0.5551
Epoch [74/100], Step[152/526], Loss: 0.6319
Epoch [74/100], Step[153/526], Loss: 0.6472
Epoch [74/100], Step[154/526], Loss: 0.6704
Epoch [74/100], Step[155/526], Loss: 0.6626
Epoch [74/100], Step[156/526], Loss: 0.5749
Epoch [74/100], Step[157/526], Loss: 0.2982
Epoch [74/100], Step[158/526], Loss: 0.6013
Epoch [74/100], Step[159/526], Loss: 0.6332
Epoch [74/100], Step[160/526], Loss: 0.5563
Epoch [74/100], Step[161/526], Loss: 0.8284
Epoch [74/100], Step[162/526], Loss: 0.7116
Epoch [74/100], Step[163/526], Loss: 0.7054
Epoch [74/100], Step[164/526], Loss: 0.6243
Epoch [74/100], Step[165/526], Loss: 0.6961
Epoch [74/100], Step[166/526], Loss: 0.5260
Epoch [74/100], Step[167/526], Loss: 0.5693
Epoch [74/100], Step[168/526], Loss: 0.6948
Epoch [74/100], Step[169/526], Loss: 0.7296
Epoch [74/100], Step[170/526], Loss: 0.7224
Epoch [74/100], Step[171/526], Loss: 0.7238
Epoch [74/100], Step[172/526], Loss: 0.7214
Epoch [74/100], Step[173/526], Loss: 0.8270
Epoch [74/100], Step[174/526], Loss: 0.6226
Epoch [74/100], Step[175/526], Loss: 0.6352
Epoch [74/100], Step[176/526], Loss: 0.6741
Epoch [74/100], Step[177/526], Loss: 0.6732
Epoch [74/100], Step[178/526], Loss: 0.6961
Epoch [74/100], Step[179/526], Loss: 0.6248
Epoch [74/100], Step[180/526], Loss: 0.6265
Epoch [74/100], Step[181/526], Loss: 0.6554
Epoch [74/100], Step[182/526], Loss: 0.6895
Epoch [74/100], Step[183/526], Loss: 0.5436
Epoch [74/100], Step[184/526], Loss: 0.5543
Epoch [74/100], Step[185/526], Loss: 0.5710
Epoch [74/100], Step[186/526], Loss: 0.6275
Epoch [74/100], Step[187/526], Loss: 0.7564
Epoch [74/100], Step[188/526], Loss: 0.7710
Epoch [74/100], Step[189/526], Loss: 0.6842
Epoch [74/100], Step[190/526], Loss: 0.6570
Epoch [74/100], Step[191/526], Loss: 0.7318
Epoch [74/100], Step[192/526], Loss: 0.8236
Epoch [74/100], Step[193/526], Loss: 0.6027
Epoch [74/100], Step[194/526], Loss: 0.6415
Epoch [74/100], Step[195/526], Loss: 0.6220
Epoch [74/100], Step[196/526], Loss: 0.7071
Epoch [74/100], Step[197/526], Loss: 0.6331
Epoch [74/100], Step[198/526], Loss: 0.5913
Epoch [74/100], Step[199/526], Loss: 0.7125
Epoch [74/100], Step[200/526], Loss: 0.6372
Epoch [74/100], Step[201/526], Loss: 0.6904
Epoch [74/100], Step[202/526], Loss: 0.8317
Epoch [74/100], Step[203/526], Loss: 0.6536
Epoch [74/100], Step[204/526], Loss: 0.8094
Epoch [74/100], Step[205/526], Loss: 0.7128
Epoch [74/100], Step[206/526], Loss: 0.6884
Epoch [74/100], Step[207/526], Loss: 0.7103
Epoch [74/100], Step[208/526], Loss: 0.6999
Epoch [74/100], Step[209/526], Loss: 0.7016
Epoch [74/100], Step[210/526], Loss: 0.8115
Epoch [74/100], Step[211/526], Loss: 0.6241
Epoch [74/100], Step[212/526], Loss: 0.6978
Epoch [74/100], Step[213/526], Loss: 0.7325
Epoch [74/100], Step[214/526], Loss: 0.7327
Epoch [74/100], Step[215/526], Loss: 0.6968
Epoch [74/100], Step[216/526], Loss: 0.6756
Epoch [74/100], Step[217/526], Loss: 0.6722
Epoch [74/100], Step[218/526], Loss: 0.7012
Epoch [74/100], Step[219/526], Loss: 0.6936
Epoch [74/100], Step[220/526], Loss: 0.7477
Epoch [74/100], Step[221/526], Loss: 0.6951
Epoch [74/100], Step[222/526], Loss: 0.7716
Epoch [74/100], Step[223/526], Loss: 0.6544
Epoch [74/100], Step[224/526], Loss: 0.6596
Epoch [74/100], Step[225/526], Loss: 0.7434
Epoch [74/100], Step[226/526], Loss: 0.6619
Epoch [74/100], Step[227/526], Loss: 0.6630
Epoch [74/100], Step[228/526], Loss: 0.6531
Epoch [74/100], Step[229/526], Loss: 0.6768
Epoch [74/100], Step[230/526], Loss: 0.6606
Epoch [74/100], Step[231/526], Loss: 0.6637
Epoch [74/100], Step[232/526], Loss: 0.7004
Epoch [74/100], Step[233/526], Loss: 0.6818
Epoch [74/100], Step[234/526], Loss: 0.6422
Epoch [74/100], Step[235/526], Loss: 0.7037
Epoch [74/100], Step[236/526], Loss: 0.6968
Epoch [74/100], Step[237/526], Loss: 0.7093
Epoch [74/100], Step[238/526], Loss: 0.6603
Epoch [74/100], Step[239/526], Loss: 0.6512
Epoch [74/100], Step[240/526], Loss: 0.7164
Epoch [74/100], Step[241/526], Loss: 0.6897
Epoch [74/100], Step[242/526], Loss: 0.7106
Epoch [74/100], Step[243/526], Loss: 0.6251
Epoch [74/100], Step[244/526], Loss: 0.5991
Epoch [74/100], Step[245/526], Loss: 0.6175
Epoch [74/100], Step[246/526], Loss: 0.6531
Epoch [74/100], Step[247/526], Loss: 0.5730
Epoch [74/100], Step[248/526], Loss: 0.6229
Epoch [74/100], Step[249/526], Loss: 0.6869
Epoch [74/100], Step[250/526], Loss: 0.6827
Epoch [74/100], Step[251/526], Loss: 0.6548
Epoch [74/100], Step[252/526], Loss: 0.6879
Epoch [74/100], Step[253/526], Loss: 0.5985
Epoch [74/100], Step[254/526], Loss: 0.6523
Epoch [74/100], Step[255/526], Loss: 0.5474
Epoch [74/100], Step[256/526], Loss: 0.6668
Epoch [74/100], Step[257/526], Loss: 0.6525
Epoch [74/100], Step[258/526], Loss: 0.6209
Epoch [74/100], Step[259/526], Loss: 0.6939
Epoch [74/100], Step[260/526], Loss: 0.7919
Epoch [74/100], Step[261/526], Loss: 0.8107
Epoch [74/100], Step[262/526], Loss: 0.6560
Epoch [74/100], Step[263/526], Loss: 0.6705
Epoch [74/100], Step[264/526], Loss: 0.6348
Epoch [74/100], Step[265/526], Loss: 0.5898
Epoch [74/100], Step[266/526], Loss: 0.5782
Epoch [74/100], Step[267/526], Loss: 0.4802
Epoch [74/100], Step[268/526], Loss: 0.5528
Epoch [74/100], Step[269/526], Loss: 0.4291
Epoch [74/100], Step[270/526], Loss: 0.3813
Epoch [74/100], Step[271/526], Loss: 0.5119
Epoch [74/100], Step[272/526], Loss: 0.5155
Epoch [74/100], Step[273/526], Loss: 0.6455
Epoch [74/100], Step[274/526], Loss: 0.4371
Epoch [74/100], Step[275/526], Loss: 0.3743
Epoch [74/100], Step[276/526], Loss: 0.4867
Epoch [74/100], Step[277/526], Loss: 0.3791
Epoch [74/100], Step[278/526], Loss: 0.4449
Epoch [74/100], Step[279/526], Loss: 0.4017
Epoch [74/100], Step[280/526], Loss: 0.4454
Epoch [74/100], Step[281/526], Loss: 0.6526
Epoch [74/100], Step[282/526], Loss: 0.3793
Epoch [74/100], Step[283/526], Loss: 0.3854
Epoch [74/100], Step[284/526], Loss: 0.4180
Epoch [74/100], Step[285/526], Loss: 0.2911
Epoch [74/100], Step[286/526], Loss: 0.6995
Epoch [74/100], Step[287/526], Loss: 0.5180
Epoch [74/100], Step[288/526], Loss: 0.3914
Epoch [74/100], Step[289/526], Loss: 0.6012
Epoch [74/100], Step[290/526], Loss: 0.4333
Epoch [74/100], Step[291/526], Loss: 0.4950
Epoch [74/100], Step[292/526], Loss: 0.2677
Epoch [74/100], Step[293/526], Loss: 0.3109
Epoch [74/100], Step[294/526], Loss: 0.3256
Epoch [74/100], Step[295/526], Loss: 0.3975
Epoch [74/100], Step[296/526], Loss: 0.5951
Epoch [74/100], Step[297/526], Loss: 0.3127
Epoch [74/100], Step[298/526], Loss: 0.2802
Epoch [74/100], Step[299/526], Loss: 0.2201
Epoch [74/100], Step[300/526], Loss: 0.2622
Epoch [74/100], Step[301/526], Loss: 0.6158
Epoch [74/100], Step[302/526], Loss: 0.3459
Epoch [74/100], Step[303/526], Loss: 0.4476
Epoch [74/100], Step[304/526], Loss: 0.2418
Epoch [74/100], Step[305/526], Loss: 0.2432
Epoch [74/100], Step[306/526], Loss: 0.6036
Epoch [74/100], Step[307/526], Loss: 0.9122
Epoch [74/100], Step[308/526], Loss: 1.3696
Epoch [74/100], Step[309/526], Loss: 0.9898
Epoch [74/100], Step[310/526], Loss: 0.9744
Epoch [74/100], Step[311/526], Loss: 0.8441
Epoch [74/100], Step[312/526], Loss: 0.4946
Epoch [74/100], Step[313/526], Loss: 0.4390
Epoch [74/100], Step[314/526], Loss: 0.5884
Epoch [74/100], Step[315/526], Loss: 0.6803
Epoch [74/100], Step[316/526], Loss: 0.5002
Epoch [74/100], Step[317/526], Loss: 0.3318
Epoch [74/100], Step[318/526], Loss: 0.7327
Epoch [74/100], Step[319/526], Loss: 0.3786
Epoch [74/100], Step[320/526], Loss: 0.6119
Epoch [74/100], Step[321/526], Loss: 0.7515
Epoch [74/100], Step[322/526], Loss: 0.2751
Epoch [74/100], Step[323/526], Loss: 0.6114
Epoch [74/100], Step[324/526], Loss: 0.6352
Epoch [74/100], Step[325/526], Loss: 0.5466
Epoch [74/100], Step[326/526], Loss: 0.7537
Epoch [74/100], Step[327/526], Loss: 0.7697
Epoch [74/100], Step[328/526], Loss: 0.9186
Epoch [74/100], Step[329/526], Loss: 1.2680
Epoch [74/100], Step[330/526], Loss: 1.0106
Epoch [74/100], Step[331/526], Loss: 0.7991
Epoch [74/100], Step[332/526], Loss: 0.8457
Epoch [74/100], Step[333/526], Loss: 0.7390
Epoch [74/100], Step[334/526], Loss: 0.7877
Epoch [74/100], Step[335/526], Loss: 0.7612
Epoch [74/100], Step[336/526], Loss: 0.6871
Epoch [74/100], Step[337/526], Loss: 0.5825
Epoch [74/100], Step[338/526], Loss: 0.7155
Epoch [74/100], Step[339/526], Loss: 0.6475
Epoch [74/100], Step[340/526], Loss: 0.7247
Epoch [74/100], Step[341/526], Loss: 0.7353
Epoch [74/100], Step[342/526], Loss: 0.7422
Epoch [74/100], Step[343/526], Loss: 0.5347
Epoch [74/100], Step[344/526], Loss: 0.7009
Epoch [74/100], Step[345/526], Loss: 0.6995
Epoch [74/100], Step[346/526], Loss: 0.6608
Epoch [74/100], Step[347/526], Loss: 0.7186
Epoch [74/100], Step[348/526], Loss: 0.6180
Epoch [74/100], Step[349/526], Loss: 0.5801
Epoch [74/100], Step[350/526], Loss: 0.6554
Epoch [74/100], Step[351/526], Loss: 0.6901
Epoch [74/100], Step[352/526], Loss: 0.6176
Epoch [74/100], Step[353/526], Loss: 0.6683
Epoch [74/100], Step[354/526], Loss: 0.6668
Epoch [74/100], Step[355/526], Loss: 0.6612
Epoch [74/100], Step[356/526], Loss: 0.6935
Epoch [74/100], Step[357/526], Loss: 0.6566
Epoch [74/100], Step[358/526], Loss: 0.6960
Epoch [74/100], Step[359/526], Loss: 0.6353
Epoch [74/100], Step[360/526], Loss: 0.6852
Epoch [74/100], Step[361/526], Loss: 0.7184
Epoch [74/100], Step[362/526], Loss: 0.7062
Epoch [74/100], Step[363/526], Loss: 0.6975
Epoch [74/100], Step[364/526], Loss: 0.7315
Epoch [74/100], Step[365/526], Loss: 0.7309
Epoch [74/100], Step[366/526], Loss: 0.6848
Epoch [74/100], Step[367/526], Loss: 0.6851
Epoch [74/100], Step[368/526], Loss: 0.6508
Epoch [74/100], Step[369/526], Loss: 0.6492
Epoch [74/100], Step[370/526], Loss: 0.5607
Epoch [74/100], Step[371/526], Loss: 0.7445
Epoch [74/100], Step[372/526], Loss: 0.6291
Epoch [74/100], Step[373/526], Loss: 0.6797
Epoch [74/100], Step[374/526], Loss: 0.7084
Epoch [74/100], Step[375/526], Loss: 0.6411
Epoch [74/100], Step[376/526], Loss: 0.6350
Epoch [74/100], Step[377/526], Loss: 0.6970
Epoch [74/100], Step[378/526], Loss: 0.6850
Epoch [74/100], Step[379/526], Loss: 0.7758
Epoch [74/100], Step[380/526], Loss: 0.6063
Epoch [74/100], Step[381/526], Loss: 0.5898
Epoch [74/100], Step[382/526], Loss: 0.6749
Epoch [74/100], Step[383/526], Loss: 0.6986
Epoch [74/100], Step[384/526], Loss: 0.6290
Epoch [74/100], Step[385/526], Loss: 0.6303
Epoch [74/100], Step[386/526], Loss: 0.6666
Epoch [74/100], Step[387/526], Loss: 0.6730
Epoch [74/100], Step[388/526], Loss: 0.5873
Epoch [74/100], Step[389/526], Loss: 0.7355
Epoch [74/100], Step[390/526], Loss: 0.5849
Epoch [74/100], Step[391/526], Loss: 0.6475
Epoch [74/100], Step[392/526], Loss: 0.7124
Epoch [74/100], Step[393/526], Loss: 0.5835
Epoch [74/100], Step[394/526], Loss: 0.5199
Epoch [74/100], Step[395/526], Loss: 0.5980
Epoch [74/100], Step[396/526], Loss: 0.6229
Epoch [74/100], Step[397/526], Loss: 0.4757
Epoch [74/100], Step[398/526], Loss: 0.6083
Epoch [74/100], Step[399/526], Loss: 0.6571
Epoch [74/100], Step[400/526], Loss: 0.4853
Epoch [74/100], Step[401/526], Loss: 0.5994
Epoch [74/100], Step[402/526], Loss: 0.6537
Epoch [74/100], Step[403/526], Loss: 0.7434
Epoch [74/100], Step[404/526], Loss: 0.4790
Epoch [74/100], Step[405/526], Loss: 0.5023
Epoch [74/100], Step[406/526], Loss: 0.6305
Epoch [74/100], Step[407/526], Loss: 0.7644
Epoch [74/100], Step[408/526], Loss: 0.6524
Epoch [74/100], Step[409/526], Loss: 0.4832
Epoch [74/100], Step[410/526], Loss: 0.5028
Epoch [74/100], Step[411/526], Loss: 0.5428
Epoch [74/100], Step[412/526], Loss: 0.5991
Epoch [74/100], Step[413/526], Loss: 0.6111
Epoch [74/100], Step[414/526], Loss: 0.6478
Epoch [74/100], Step[415/526], Loss: 0.5993
Epoch [74/100], Step[416/526], Loss: 0.5641
Epoch [74/100], Step[417/526], Loss: 0.4552
Epoch [74/100], Step[418/526], Loss: 0.7390
Epoch [74/100], Step[419/526], Loss: 0.6881
Epoch [74/100], Step[420/526], Loss: 0.6790
Epoch [74/100], Step[421/526], Loss: 0.6576
Epoch [74/100], Step[422/526], Loss: 0.7496
Epoch [74/100], Step[423/526], Loss: 0.6915
Epoch [74/100], Step[424/526], Loss: 0.7530
Epoch [74/100], Step[425/526], Loss: 0.6979
Epoch [74/100], Step[426/526], Loss: 0.7552
Epoch [74/100], Step[427/526], Loss: 0.7037
Epoch [74/100], Step[428/526], Loss: 0.7136
Epoch [74/100], Step[429/526], Loss: 0.7370
Epoch [74/100], Step[430/526], Loss: 0.7831
Epoch [74/100], Step[431/526], Loss: 0.7081
Epoch [74/100], Step[432/526], Loss: 0.7274
Epoch [74/100], Step[433/526], Loss: 0.6710
Epoch [74/100], Step[434/526], Loss: 0.6053
Epoch [74/100], Step[435/526], Loss: 0.7719
Epoch [74/100], Step[436/526], Loss: 0.8068
Epoch [74/100], Step[437/526], Loss: 0.4936
Epoch [74/100], Step[438/526], Loss: 0.3698
Epoch [74/100], Step[439/526], Loss: 0.7198
Epoch [74/100], Step[440/526], Loss: 0.6828
Epoch [74/100], Step[441/526], Loss: 0.7008
Epoch [74/100], Step[442/526], Loss: 0.6446
Epoch [74/100], Step[443/526], Loss: 0.6721
Epoch [74/100], Step[444/526], Loss: 0.7560
Epoch [74/100], Step[445/526], Loss: 0.7055
Epoch [74/100], Step[446/526], Loss: 0.7099
Epoch [74/100], Step[447/526], Loss: 0.7242
Epoch [74/100], Step[448/526], Loss: 0.7176
Epoch [74/100], Step[449/526], Loss: 0.6717
Epoch [74/100], Step[450/526], Loss: 0.5975
Epoch [74/100], Step[451/526], Loss: 0.6654
Epoch [74/100], Step[452/526], Loss: 0.7283
Epoch [74/100], Step[453/526], Loss: 0.7113
Epoch [74/100], Step[454/526], Loss: 0.8433
Epoch [74/100], Step[455/526], Loss: 0.6640
Epoch [74/100], Step[456/526], Loss: 0.6257
Epoch [74/100], Step[457/526], Loss: 0.6974
Epoch [74/100], Step[458/526], Loss: 0.6922
Epoch [74/100], Step[459/526], Loss: 0.6607
Epoch [74/100], Step[460/526], Loss: 0.6415
Epoch [74/100], Step[461/526], Loss: 0.6029
Epoch [74/100], Step[462/526], Loss: 0.6567
Epoch [74/100], Step[463/526], Loss: 0.6476
Epoch [74/100], Step[464/526], Loss: 0.6205
Epoch [74/100], Step[465/526], Loss: 0.6481
Epoch [74/100], Step[466/526], Loss: 0.6639
Epoch [74/100], Step[467/526], Loss: 0.6480
Epoch [74/100], Step[468/526], Loss: 0.6036
Epoch [74/100], Step[469/526], Loss: 0.8266
Epoch [74/100], Step[470/526], Loss: 0.6631
Epoch [74/100], Step[471/526], Loss: 0.6851
Epoch [74/100], Step[472/526], Loss: 0.6802
Epoch [74/100], Step[473/526], Loss: 0.6756
Epoch [74/100], Step[474/526], Loss: 0.6771
Epoch [74/100], Step[475/526], Loss: 0.8419
Epoch [74/100], Step[476/526], Loss: 0.7369
Epoch [74/100], Step[477/526], Loss: 0.7005
Epoch [74/100], Step[478/526], Loss: 0.6761
Epoch [74/100], Step[479/526], Loss: 0.6601
Epoch [74/100], Step[480/526], Loss: 0.7393
Epoch [74/100], Step[481/526], Loss: 0.7300
Epoch [74/100], Step[482/526], Loss: 0.6230
Epoch [74/100], Step[483/526], Loss: 0.5318
Epoch [74/100], Step[484/526], Loss: 0.7120
Epoch [74/100], Step[485/526], Loss: 0.7549
Epoch [74/100], Step[486/526], Loss: 0.7309
Epoch [74/100], Step[487/526], Loss: 0.7291
Epoch [74/100], Step[488/526], Loss: 0.6928
Epoch [74/100], Step[489/526], Loss: 0.6156
Epoch [74/100], Step[490/526], Loss: 0.6073
Epoch [74/100], Step[491/526], Loss: 0.6899
Epoch [74/100], Step[492/526], Loss: 0.6397
Epoch [74/100], Step[493/526], Loss: 0.6317
Epoch [74/100], Step[494/526], Loss: 0.6650
Epoch [74/100], Step[495/526], Loss: 0.6871
Epoch [74/100], Step[496/526], Loss: 0.6584
Epoch [74/100], Step[497/526], Loss: 0.6260
Epoch [74/100], Step[498/526], Loss: 0.6670
Epoch [74/100], Step[499/526], Loss: 0.6661
Epoch [74/100], Step[500/526], Loss: 0.7072
Epoch [74/100], Step[501/526], Loss: 0.6516
Epoch [74/100], Step[502/526], Loss: 0.7003
Epoch [74/100], Step[503/526], Loss: 0.7152
Epoch [74/100], Step[504/526], Loss: 0.7119
Epoch [74/100], Step[505/526], Loss: 0.7130
Epoch [74/100], Step[506/526], Loss: 0.6542
Epoch [74/100], Step[507/526], Loss: 0.6719
Epoch [74/100], Step[508/526], Loss: 0.6964
Epoch [74/100], Step[509/526], Loss: 0.6330
Epoch [74/100], Step[510/526], Loss: 0.7036
Epoch [74/100], Step[511/526], Loss: 0.6371
Epoch [74/100], Step[512/526], Loss: 0.6656
Epoch [74/100], Step[513/526], Loss: 0.6409
Epoch [74/100], Step[514/526], Loss: 0.6542
Epoch [74/100], Step[515/526], Loss: 0.6325
Epoch [74/100], Step[516/526], Loss: 0.7534
Epoch [74/100], Step[517/526], Loss: 0.6956
Epoch [74/100], Step[518/526], Loss: 0.7304
Epoch [74/100], Step[519/526], Loss: 0.7215
Epoch [74/100], Step[520/526], Loss: 0.6995
Epoch [74/100], Step[521/526], Loss: 0.6637
Epoch [74/100], Step[522/526], Loss: 0.5903
Epoch [74/100], Step[523/526], Loss: 0.6461
Epoch [74/100], Step[524/526], Loss: 0.6326
Epoch [74/100], Step[525/526], Loss: 0.7642
Epoch [74/100], Step[526/526], Loss: 0.7211
Epoch [75/100], Step[1/526], Loss: 0.6539
Epoch [75/100], Step[2/526], Loss: 0.6363
Epoch [75/100], Step[3/526], Loss: 0.6821
Epoch [75/100], Step[4/526], Loss: 0.6304
Epoch [75/100], Step[5/526], Loss: 0.7531
Epoch [75/100], Step[6/526], Loss: 0.7644
Epoch [75/100], Step[7/526], Loss: 0.6949
Epoch [75/100], Step[8/526], Loss: 0.6794
Epoch [75/100], Step[9/526], Loss: 0.7021
Epoch [75/100], Step[10/526], Loss: 0.6499
Epoch [75/100], Step[11/526], Loss: 0.7091
Epoch [75/100], Step[12/526], Loss: 0.7518
Epoch [75/100], Step[13/526], Loss: 0.5991
Epoch [75/100], Step[14/526], Loss: 0.6482
Epoch [75/100], Step[15/526], Loss: 0.6848
Epoch [75/100], Step[16/526], Loss: 0.7051
Epoch [75/100], Step[17/526], Loss: 0.7143
Epoch [75/100], Step[18/526], Loss: 0.6656
Epoch [75/100], Step[19/526], Loss: 0.6943
Epoch [75/100], Step[20/526], Loss: 0.7552
Epoch [75/100], Step[21/526], Loss: 0.7615
Epoch [75/100], Step[22/526], Loss: 0.7310
Epoch [75/100], Step[23/526], Loss: 0.7454
Epoch [75/100], Step[24/526], Loss: 0.7166
Epoch [75/100], Step[25/526], Loss: 0.6926
Epoch [75/100], Step[26/526], Loss: 0.6019
Epoch [75/100], Step[27/526], Loss: 0.6667
Epoch [75/100], Step[28/526], Loss: 0.6890
Epoch [75/100], Step[29/526], Loss: 0.6418
Epoch [75/100], Step[30/526], Loss: 0.6899
Epoch [75/100], Step[31/526], Loss: 0.7045
Epoch [75/100], Step[32/526], Loss: 0.6489
Epoch [75/100], Step[33/526], Loss: 0.7193
Epoch [75/100], Step[34/526], Loss: 0.6998
Epoch [75/100], Step[35/526], Loss: 0.7178
Epoch [75/100], Step[36/526], Loss: 0.7062
Epoch [75/100], Step[37/526], Loss: 0.6907
Epoch [75/100], Step[38/526], Loss: 0.7094
Epoch [75/100], Step[39/526], Loss: 0.6879
Epoch [75/100], Step[40/526], Loss: 0.7089
Epoch [75/100], Step[41/526], Loss: 0.6597
Epoch [75/100], Step[42/526], Loss: 0.7308
Epoch [75/100], Step[43/526], Loss: 0.7157
Epoch [75/100], Step[44/526], Loss: 0.6880
Epoch [75/100], Step[45/526], Loss: 0.6885
Epoch [75/100], Step[46/526], Loss: 0.6976
Epoch [75/100], Step[47/526], Loss: 0.7047
Epoch [75/100], Step[48/526], Loss: 0.7314
Epoch [75/100], Step[49/526], Loss: 0.6992
Epoch [75/100], Step[50/526], Loss: 0.7046
Epoch [75/100], Step[51/526], Loss: 0.6961
Epoch [75/100], Step[52/526], Loss: 0.6734
Epoch [75/100], Step[53/526], Loss: 0.7142
Epoch [75/100], Step[54/526], Loss: 0.7070
Epoch [75/100], Step[55/526], Loss: 0.7113
Epoch [75/100], Step[56/526], Loss: 0.6895
Epoch [75/100], Step[57/526], Loss: 0.6851
Epoch [75/100], Step[58/526], Loss: 0.6730
Epoch [75/100], Step[59/526], Loss: 0.6530
Epoch [75/100], Step[60/526], Loss: 0.6655
Epoch [75/100], Step[61/526], Loss: 0.6599
Epoch [75/100], Step[62/526], Loss: 0.6984
Epoch [75/100], Step[63/526], Loss: 0.6894
Epoch [75/100], Step[64/526], Loss: 0.6762
Epoch [75/100], Step[65/526], Loss: 0.7200
Epoch [75/100], Step[66/526], Loss: 0.6805
Epoch [75/100], Step[67/526], Loss: 0.6358
Epoch [75/100], Step[68/526], Loss: 0.6508
Epoch [75/100], Step[69/526], Loss: 0.6929
Epoch [75/100], Step[70/526], Loss: 0.6900
Epoch [75/100], Step[71/526], Loss: 0.6739
Epoch [75/100], Step[72/526], Loss: 0.6789
Epoch [75/100], Step[73/526], Loss: 0.7184
Epoch [75/100], Step[74/526], Loss: 0.6545
Epoch [75/100], Step[75/526], Loss: 0.7054
Epoch [75/100], Step[76/526], Loss: 0.6774
Epoch [75/100], Step[77/526], Loss: 0.7001
Epoch [75/100], Step[78/526], Loss: 0.7122
Epoch [75/100], Step[79/526], Loss: 0.6872
Epoch [75/100], Step[80/526], Loss: 0.6904
Epoch [75/100], Step[81/526], Loss: 0.6879
Epoch [75/100], Step[82/526], Loss: 0.7183
Epoch [75/100], Step[83/526], Loss: 0.7062
Epoch [75/100], Step[84/526], Loss: 0.6765
Epoch [75/100], Step[85/526], Loss: 0.6568
Epoch [75/100], Step[86/526], Loss: 0.6857
Epoch [75/100], Step[87/526], Loss: 0.6823
Epoch [75/100], Step[88/526], Loss: 0.6931
Epoch [75/100], Step[89/526], Loss: 0.7219
Epoch [75/100], Step[90/526], Loss: 0.6803
Epoch [75/100], Step[91/526], Loss: 0.6772
Epoch [75/100], Step[92/526], Loss: 0.6775
Epoch [75/100], Step[93/526], Loss: 0.6793
Epoch [75/100], Step[94/526], Loss: 0.8089
Epoch [75/100], Step[95/526], Loss: 0.7162
Epoch [75/100], Step[96/526], Loss: 0.6240
Epoch [75/100], Step[97/526], Loss: 0.5979
Epoch [75/100], Step[98/526], Loss: 0.6889
Epoch [75/100], Step[99/526], Loss: 0.6848
Epoch [75/100], Step[100/526], Loss: 0.6681
Epoch [75/100], Step[101/526], Loss: 0.6587
Epoch [75/100], Step[102/526], Loss: 0.6212
Epoch [75/100], Step[103/526], Loss: 0.6832
Epoch [75/100], Step[104/526], Loss: 0.6496
Epoch [75/100], Step[105/526], Loss: 0.6287
Epoch [75/100], Step[106/526], Loss: 0.6980
Epoch [75/100], Step[107/526], Loss: 0.6237
Epoch [75/100], Step[108/526], Loss: 0.5788
Epoch [75/100], Step[109/526], Loss: 0.6755
Epoch [75/100], Step[110/526], Loss: 0.6915
Epoch [75/100], Step[111/526], Loss: 0.5909
Epoch [75/100], Step[112/526], Loss: 0.7333
Epoch [75/100], Step[113/526], Loss: 0.6080
Epoch [75/100], Step[114/526], Loss: 0.6637
Epoch [75/100], Step[115/526], Loss: 0.5967
Epoch [75/100], Step[116/526], Loss: 0.6328
Epoch [75/100], Step[117/526], Loss: 0.6768
Epoch [75/100], Step[118/526], Loss: 0.7501
Epoch [75/100], Step[119/526], Loss: 0.6775
Epoch [75/100], Step[120/526], Loss: 0.6732
Epoch [75/100], Step[121/526], Loss: 0.6848
Epoch [75/100], Step[122/526], Loss: 0.6261
Epoch [75/100], Step[123/526], Loss: 0.6538
Epoch [75/100], Step[124/526], Loss: 0.6674
Epoch [75/100], Step[125/526], Loss: 0.6405
Epoch [75/100], Step[126/526], Loss: 0.7118
Epoch [75/100], Step[127/526], Loss: 0.6628
Epoch [75/100], Step[128/526], Loss: 0.6380
Epoch [75/100], Step[129/526], Loss: 0.6016
Epoch [75/100], Step[130/526], Loss: 0.6422
Epoch [75/100], Step[131/526], Loss: 0.6647
Epoch [75/100], Step[132/526], Loss: 0.7055
Epoch [75/100], Step[133/526], Loss: 0.6839
Epoch [75/100], Step[134/526], Loss: 0.6295
Epoch [75/100], Step[135/526], Loss: 0.6445
Epoch [75/100], Step[136/526], Loss: 0.5646
Epoch [75/100], Step[137/526], Loss: 0.6314
Epoch [75/100], Step[138/526], Loss: 0.6395
Epoch [75/100], Step[139/526], Loss: 0.6846
Epoch [75/100], Step[140/526], Loss: 0.5973
Epoch [75/100], Step[141/526], Loss: 0.6734
Epoch [75/100], Step[142/526], Loss: 0.6689
Epoch [75/100], Step[143/526], Loss: 0.6826
Epoch [75/100], Step[144/526], Loss: 0.7645
Epoch [75/100], Step[145/526], Loss: 0.5161
Epoch [75/100], Step[146/526], Loss: 0.5129
Epoch [75/100], Step[147/526], Loss: 0.4850
Epoch [75/100], Step[148/526], Loss: 0.5962
Epoch [75/100], Step[149/526], Loss: 0.4794
Epoch [75/100], Step[150/526], Loss: 0.5584
Epoch [75/100], Step[151/526], Loss: 0.5503
Epoch [75/100], Step[152/526], Loss: 0.6284
Epoch [75/100], Step[153/526], Loss: 0.6455
Epoch [75/100], Step[154/526], Loss: 0.6717
Epoch [75/100], Step[155/526], Loss: 0.6713
Epoch [75/100], Step[156/526], Loss: 0.5716
Epoch [75/100], Step[157/526], Loss: 0.2886
Epoch [75/100], Step[158/526], Loss: 0.6011
Epoch [75/100], Step[159/526], Loss: 0.6304
Epoch [75/100], Step[160/526], Loss: 0.5573
Epoch [75/100], Step[161/526], Loss: 0.8318
Epoch [75/100], Step[162/526], Loss: 0.7137
Epoch [75/100], Step[163/526], Loss: 0.7012
Epoch [75/100], Step[164/526], Loss: 0.6209
Epoch [75/100], Step[165/526], Loss: 0.6970
Epoch [75/100], Step[166/526], Loss: 0.5263
Epoch [75/100], Step[167/526], Loss: 0.5665
Epoch [75/100], Step[168/526], Loss: 0.6995
Epoch [75/100], Step[169/526], Loss: 0.7309
Epoch [75/100], Step[170/526], Loss: 0.7267
Epoch [75/100], Step[171/526], Loss: 0.7278
Epoch [75/100], Step[172/526], Loss: 0.7258
Epoch [75/100], Step[173/526], Loss: 0.8254
Epoch [75/100], Step[174/526], Loss: 0.6313
Epoch [75/100], Step[175/526], Loss: 0.6403
Epoch [75/100], Step[176/526], Loss: 0.6713
Epoch [75/100], Step[177/526], Loss: 0.6705
Epoch [75/100], Step[178/526], Loss: 0.6951
Epoch [75/100], Step[179/526], Loss: 0.6282
Epoch [75/100], Step[180/526], Loss: 0.6239
Epoch [75/100], Step[181/526], Loss: 0.6583
Epoch [75/100], Step[182/526], Loss: 0.6898
Epoch [75/100], Step[183/526], Loss: 0.5465
Epoch [75/100], Step[184/526], Loss: 0.5469
Epoch [75/100], Step[185/526], Loss: 0.5638
Epoch [75/100], Step[186/526], Loss: 0.6295
Epoch [75/100], Step[187/526], Loss: 0.7638
Epoch [75/100], Step[188/526], Loss: 0.7703
Epoch [75/100], Step[189/526], Loss: 0.6828
Epoch [75/100], Step[190/526], Loss: 0.6452
Epoch [75/100], Step[191/526], Loss: 0.7302
Epoch [75/100], Step[192/526], Loss: 0.7856
Epoch [75/100], Step[193/526], Loss: 0.5985
Epoch [75/100], Step[194/526], Loss: 0.6343
Epoch [75/100], Step[195/526], Loss: 0.6211
Epoch [75/100], Step[196/526], Loss: 0.7051
Epoch [75/100], Step[197/526], Loss: 0.6278
Epoch [75/100], Step[198/526], Loss: 0.5937
Epoch [75/100], Step[199/526], Loss: 0.7136
Epoch [75/100], Step[200/526], Loss: 0.6407
Epoch [75/100], Step[201/526], Loss: 0.6884
Epoch [75/100], Step[202/526], Loss: 0.8185
Epoch [75/100], Step[203/526], Loss: 0.6564
Epoch [75/100], Step[204/526], Loss: 0.7997
Epoch [75/100], Step[205/526], Loss: 0.7093
Epoch [75/100], Step[206/526], Loss: 0.6901
Epoch [75/100], Step[207/526], Loss: 0.7068
Epoch [75/100], Step[208/526], Loss: 0.6978
Epoch [75/100], Step[209/526], Loss: 0.7000
Epoch [75/100], Step[210/526], Loss: 0.8007
Epoch [75/100], Step[211/526], Loss: 0.6256
Epoch [75/100], Step[212/526], Loss: 0.6981
Epoch [75/100], Step[213/526], Loss: 0.7324
Epoch [75/100], Step[214/526], Loss: 0.7268
Epoch [75/100], Step[215/526], Loss: 0.6954
Epoch [75/100], Step[216/526], Loss: 0.6762
Epoch [75/100], Step[217/526], Loss: 0.6723
Epoch [75/100], Step[218/526], Loss: 0.6997
Epoch [75/100], Step[219/526], Loss: 0.6925
Epoch [75/100], Step[220/526], Loss: 0.7407
Epoch [75/100], Step[221/526], Loss: 0.6945
Epoch [75/100], Step[222/526], Loss: 0.7605
Epoch [75/100], Step[223/526], Loss: 0.6550
Epoch [75/100], Step[224/526], Loss: 0.6615
Epoch [75/100], Step[225/526], Loss: 0.7357
Epoch [75/100], Step[226/526], Loss: 0.6608
Epoch [75/100], Step[227/526], Loss: 0.6621
Epoch [75/100], Step[228/526], Loss: 0.6542
Epoch [75/100], Step[229/526], Loss: 0.6805
Epoch [75/100], Step[230/526], Loss: 0.6614
Epoch [75/100], Step[231/526], Loss: 0.6632
Epoch [75/100], Step[232/526], Loss: 0.6972
Epoch [75/100], Step[233/526], Loss: 0.6792
Epoch [75/100], Step[234/526], Loss: 0.6413
Epoch [75/100], Step[235/526], Loss: 0.7024
Epoch [75/100], Step[236/526], Loss: 0.6962
Epoch [75/100], Step[237/526], Loss: 0.7062
Epoch [75/100], Step[238/526], Loss: 0.6579
Epoch [75/100], Step[239/526], Loss: 0.6524
Epoch [75/100], Step[240/526], Loss: 0.7140
Epoch [75/100], Step[241/526], Loss: 0.6901
Epoch [75/100], Step[242/526], Loss: 0.7111
Epoch [75/100], Step[243/526], Loss: 0.6101
Epoch [75/100], Step[244/526], Loss: 0.5974
Epoch [75/100], Step[245/526], Loss: 0.6131
Epoch [75/100], Step[246/526], Loss: 0.6525
Epoch [75/100], Step[247/526], Loss: 0.5671
Epoch [75/100], Step[248/526], Loss: 0.6148
Epoch [75/100], Step[249/526], Loss: 0.6938
Epoch [75/100], Step[250/526], Loss: 0.6812
Epoch [75/100], Step[251/526], Loss: 0.6560
Epoch [75/100], Step[252/526], Loss: 0.6942
Epoch [75/100], Step[253/526], Loss: 0.5993
Epoch [75/100], Step[254/526], Loss: 0.6469
Epoch [75/100], Step[255/526], Loss: 0.5468
Epoch [75/100], Step[256/526], Loss: 0.6645
Epoch [75/100], Step[257/526], Loss: 0.6578
Epoch [75/100], Step[258/526], Loss: 0.6220
Epoch [75/100], Step[259/526], Loss: 0.6973
Epoch [75/100], Step[260/526], Loss: 0.7903
Epoch [75/100], Step[261/526], Loss: 0.8137
Epoch [75/100], Step[262/526], Loss: 0.6476
Epoch [75/100], Step[263/526], Loss: 0.6731
Epoch [75/100], Step[264/526], Loss: 0.6345
Epoch [75/100], Step[265/526], Loss: 0.5767
Epoch [75/100], Step[266/526], Loss: 0.5656
Epoch [75/100], Step[267/526], Loss: 0.4790
Epoch [75/100], Step[268/526], Loss: 0.5537
Epoch [75/100], Step[269/526], Loss: 0.4268
Epoch [75/100], Step[270/526], Loss: 0.3804
Epoch [75/100], Step[271/526], Loss: 0.5124
Epoch [75/100], Step[272/526], Loss: 0.5127
Epoch [75/100], Step[273/526], Loss: 0.6490
Epoch [75/100], Step[274/526], Loss: 0.4394
Epoch [75/100], Step[275/526], Loss: 0.3747
Epoch [75/100], Step[276/526], Loss: 0.4885
Epoch [75/100], Step[277/526], Loss: 0.3699
Epoch [75/100], Step[278/526], Loss: 0.4450
Epoch [75/100], Step[279/526], Loss: 0.4026
Epoch [75/100], Step[280/526], Loss: 0.4465
Epoch [75/100], Step[281/526], Loss: 0.6580
Epoch [75/100], Step[282/526], Loss: 0.3809
Epoch [75/100], Step[283/526], Loss: 0.3913
Epoch [75/100], Step[284/526], Loss: 0.4139
Epoch [75/100], Step[285/526], Loss: 0.2914
Epoch [75/100], Step[286/526], Loss: 0.7036
Epoch [75/100], Step[287/526], Loss: 0.5164
Epoch [75/100], Step[288/526], Loss: 0.3908
Epoch [75/100], Step[289/526], Loss: 0.6001
Epoch [75/100], Step[290/526], Loss: 0.4305
Epoch [75/100], Step[291/526], Loss: 0.4978
Epoch [75/100], Step[292/526], Loss: 0.2686
Epoch [75/100], Step[293/526], Loss: 0.3107
Epoch [75/100], Step[294/526], Loss: 0.3267
Epoch [75/100], Step[295/526], Loss: 0.3989
Epoch [75/100], Step[296/526], Loss: 0.5934
Epoch [75/100], Step[297/526], Loss: 0.3096
Epoch [75/100], Step[298/526], Loss: 0.2820
Epoch [75/100], Step[299/526], Loss: 0.2180
Epoch [75/100], Step[300/526], Loss: 0.2596
Epoch [75/100], Step[301/526], Loss: 0.6164
Epoch [75/100], Step[302/526], Loss: 0.3456
Epoch [75/100], Step[303/526], Loss: 0.4487
Epoch [75/100], Step[304/526], Loss: 0.2434
Epoch [75/100], Step[305/526], Loss: 0.2433
Epoch [75/100], Step[306/526], Loss: 0.6020
Epoch [75/100], Step[307/526], Loss: 0.9129
Epoch [75/100], Step[308/526], Loss: 1.3705
Epoch [75/100], Step[309/526], Loss: 0.9804
Epoch [75/100], Step[310/526], Loss: 0.9740
Epoch [75/100], Step[311/526], Loss: 0.8452
Epoch [75/100], Step[312/526], Loss: 0.4931
Epoch [75/100], Step[313/526], Loss: 0.4413
Epoch [75/100], Step[314/526], Loss: 0.5899
Epoch [75/100], Step[315/526], Loss: 0.6825
Epoch [75/100], Step[316/526], Loss: 0.5007
Epoch [75/100], Step[317/526], Loss: 0.3302
Epoch [75/100], Step[318/526], Loss: 0.7334
Epoch [75/100], Step[319/526], Loss: 0.3774
Epoch [75/100], Step[320/526], Loss: 0.6119
Epoch [75/100], Step[321/526], Loss: 0.7526
Epoch [75/100], Step[322/526], Loss: 0.2736
Epoch [75/100], Step[323/526], Loss: 0.6094
Epoch [75/100], Step[324/526], Loss: 0.6350
Epoch [75/100], Step[325/526], Loss: 0.5460
Epoch [75/100], Step[326/526], Loss: 0.7562
Epoch [75/100], Step[327/526], Loss: 0.7688
Epoch [75/100], Step[328/526], Loss: 0.9207
Epoch [75/100], Step[329/526], Loss: 1.2681
Epoch [75/100], Step[330/526], Loss: 1.0149
Epoch [75/100], Step[331/526], Loss: 0.7977
Epoch [75/100], Step[332/526], Loss: 0.8442
Epoch [75/100], Step[333/526], Loss: 0.7371
Epoch [75/100], Step[334/526], Loss: 0.7872
Epoch [75/100], Step[335/526], Loss: 0.7582
Epoch [75/100], Step[336/526], Loss: 0.6860
Epoch [75/100], Step[337/526], Loss: 0.5818
Epoch [75/100], Step[338/526], Loss: 0.7163
Epoch [75/100], Step[339/526], Loss: 0.6465
Epoch [75/100], Step[340/526], Loss: 0.7236
Epoch [75/100], Step[341/526], Loss: 0.7320
Epoch [75/100], Step[342/526], Loss: 0.7399
Epoch [75/100], Step[343/526], Loss: 0.5342
Epoch [75/100], Step[344/526], Loss: 0.6998
Epoch [75/100], Step[345/526], Loss: 0.6983
Epoch [75/100], Step[346/526], Loss: 0.6584
Epoch [75/100], Step[347/526], Loss: 0.7185
Epoch [75/100], Step[348/526], Loss: 0.6176
Epoch [75/100], Step[349/526], Loss: 0.5805
Epoch [75/100], Step[350/526], Loss: 0.6545
Epoch [75/100], Step[351/526], Loss: 0.6888
Epoch [75/100], Step[352/526], Loss: 0.6195
Epoch [75/100], Step[353/526], Loss: 0.6679
Epoch [75/100], Step[354/526], Loss: 0.6673
Epoch [75/100], Step[355/526], Loss: 0.6602
Epoch [75/100], Step[356/526], Loss: 0.6925
Epoch [75/100], Step[357/526], Loss: 0.6537
Epoch [75/100], Step[358/526], Loss: 0.6987
Epoch [75/100], Step[359/526], Loss: 0.6350
Epoch [75/100], Step[360/526], Loss: 0.6848
Epoch [75/100], Step[361/526], Loss: 0.7159
Epoch [75/100], Step[362/526], Loss: 0.7050
Epoch [75/100], Step[363/526], Loss: 0.6981
Epoch [75/100], Step[364/526], Loss: 0.7321
Epoch [75/100], Step[365/526], Loss: 0.7282
Epoch [75/100], Step[366/526], Loss: 0.6841
Epoch [75/100], Step[367/526], Loss: 0.6841
Epoch [75/100], Step[368/526], Loss: 0.6516
Epoch [75/100], Step[369/526], Loss: 0.6476
Epoch [75/100], Step[370/526], Loss: 0.5509
Epoch [75/100], Step[371/526], Loss: 0.7450
Epoch [75/100], Step[372/526], Loss: 0.6269
Epoch [75/100], Step[373/526], Loss: 0.6781
Epoch [75/100], Step[374/526], Loss: 0.7072
Epoch [75/100], Step[375/526], Loss: 0.6399
Epoch [75/100], Step[376/526], Loss: 0.6386
Epoch [75/100], Step[377/526], Loss: 0.6959
Epoch [75/100], Step[378/526], Loss: 0.6856
Epoch [75/100], Step[379/526], Loss: 0.7826
Epoch [75/100], Step[380/526], Loss: 0.6058
Epoch [75/100], Step[381/526], Loss: 0.5866
Epoch [75/100], Step[382/526], Loss: 0.6731
Epoch [75/100], Step[383/526], Loss: 0.6963
Epoch [75/100], Step[384/526], Loss: 0.6280
Epoch [75/100], Step[385/526], Loss: 0.6335
Epoch [75/100], Step[386/526], Loss: 0.6638
Epoch [75/100], Step[387/526], Loss: 0.6676
Epoch [75/100], Step[388/526], Loss: 0.5886
Epoch [75/100], Step[389/526], Loss: 0.7343
Epoch [75/100], Step[390/526], Loss: 0.5831
Epoch [75/100], Step[391/526], Loss: 0.6441
Epoch [75/100], Step[392/526], Loss: 0.7141
Epoch [75/100], Step[393/526], Loss: 0.5841
Epoch [75/100], Step[394/526], Loss: 0.5197
Epoch [75/100], Step[395/526], Loss: 0.5937
Epoch [75/100], Step[396/526], Loss: 0.6231
Epoch [75/100], Step[397/526], Loss: 0.4762
Epoch [75/100], Step[398/526], Loss: 0.6064
Epoch [75/100], Step[399/526], Loss: 0.6562
Epoch [75/100], Step[400/526], Loss: 0.4858
Epoch [75/100], Step[401/526], Loss: 0.6014
Epoch [75/100], Step[402/526], Loss: 0.6529
Epoch [75/100], Step[403/526], Loss: 0.7546
Epoch [75/100], Step[404/526], Loss: 0.4795
Epoch [75/100], Step[405/526], Loss: 0.5012
Epoch [75/100], Step[406/526], Loss: 0.6300
Epoch [75/100], Step[407/526], Loss: 0.7626
Epoch [75/100], Step[408/526], Loss: 0.6509
Epoch [75/100], Step[409/526], Loss: 0.4875
Epoch [75/100], Step[410/526], Loss: 0.5050
Epoch [75/100], Step[411/526], Loss: 0.5435
Epoch [75/100], Step[412/526], Loss: 0.6010
Epoch [75/100], Step[413/526], Loss: 0.6119
Epoch [75/100], Step[414/526], Loss: 0.6486
Epoch [75/100], Step[415/526], Loss: 0.5983
Epoch [75/100], Step[416/526], Loss: 0.5668
Epoch [75/100], Step[417/526], Loss: 0.4569
Epoch [75/100], Step[418/526], Loss: 0.7407
Epoch [75/100], Step[419/526], Loss: 0.6863
Epoch [75/100], Step[420/526], Loss: 0.6779
Epoch [75/100], Step[421/526], Loss: 0.6595
Epoch [75/100], Step[422/526], Loss: 0.7474
Epoch [75/100], Step[423/526], Loss: 0.6919
Epoch [75/100], Step[424/526], Loss: 0.7540
Epoch [75/100], Step[425/526], Loss: 0.6984
Epoch [75/100], Step[426/526], Loss: 0.7537
Epoch [75/100], Step[427/526], Loss: 0.7046
Epoch [75/100], Step[428/526], Loss: 0.7140
Epoch [75/100], Step[429/526], Loss: 0.7355
Epoch [75/100], Step[430/526], Loss: 0.7806
Epoch [75/100], Step[431/526], Loss: 0.7077
Epoch [75/100], Step[432/526], Loss: 0.7264
Epoch [75/100], Step[433/526], Loss: 0.6715
Epoch [75/100], Step[434/526], Loss: 0.6044
Epoch [75/100], Step[435/526], Loss: 0.7703
Epoch [75/100], Step[436/526], Loss: 0.8033
Epoch [75/100], Step[437/526], Loss: 0.4908
Epoch [75/100], Step[438/526], Loss: 0.3699
Epoch [75/100], Step[439/526], Loss: 0.7209
Epoch [75/100], Step[440/526], Loss: 0.6840
Epoch [75/100], Step[441/526], Loss: 0.6960
Epoch [75/100], Step[442/526], Loss: 0.6453
Epoch [75/100], Step[443/526], Loss: 0.6710
Epoch [75/100], Step[444/526], Loss: 0.7568
Epoch [75/100], Step[445/526], Loss: 0.7066
Epoch [75/100], Step[446/526], Loss: 0.7074
Epoch [75/100], Step[447/526], Loss: 0.7254
Epoch [75/100], Step[448/526], Loss: 0.7173
Epoch [75/100], Step[449/526], Loss: 0.6722
Epoch [75/100], Step[450/526], Loss: 0.5964
Epoch [75/100], Step[451/526], Loss: 0.6657
Epoch [75/100], Step[452/526], Loss: 0.7293
Epoch [75/100], Step[453/526], Loss: 0.7099
Epoch [75/100], Step[454/526], Loss: 0.8415
Epoch [75/100], Step[455/526], Loss: 0.6524
Epoch [75/100], Step[456/526], Loss: 0.6307
Epoch [75/100], Step[457/526], Loss: 0.7025
Epoch [75/100], Step[458/526], Loss: 0.6873
Epoch [75/100], Step[459/526], Loss: 0.6581
Epoch [75/100], Step[460/526], Loss: 0.6357
Epoch [75/100], Step[461/526], Loss: 0.6006
Epoch [75/100], Step[462/526], Loss: 0.6536
Epoch [75/100], Step[463/526], Loss: 0.6472
Epoch [75/100], Step[464/526], Loss: 0.6194
Epoch [75/100], Step[465/526], Loss: 0.6456
Epoch [75/100], Step[466/526], Loss: 0.6636
Epoch [75/100], Step[467/526], Loss: 0.6459
Epoch [75/100], Step[468/526], Loss: 0.6016
Epoch [75/100], Step[469/526], Loss: 0.8302
Epoch [75/100], Step[470/526], Loss: 0.6633
Epoch [75/100], Step[471/526], Loss: 0.6848
Epoch [75/100], Step[472/526], Loss: 0.6807
Epoch [75/100], Step[473/526], Loss: 0.6750
Epoch [75/100], Step[474/526], Loss: 0.6767
Epoch [75/100], Step[475/526], Loss: 0.8416
Epoch [75/100], Step[476/526], Loss: 0.7376
Epoch [75/100], Step[477/526], Loss: 0.6988
Epoch [75/100], Step[478/526], Loss: 0.6808
Epoch [75/100], Step[479/526], Loss: 0.6609
Epoch [75/100], Step[480/526], Loss: 0.7397
Epoch [75/100], Step[481/526], Loss: 0.7292
Epoch [75/100], Step[482/526], Loss: 0.6233
Epoch [75/100], Step[483/526], Loss: 0.5309
Epoch [75/100], Step[484/526], Loss: 0.7125
Epoch [75/100], Step[485/526], Loss: 0.7611
Epoch [75/100], Step[486/526], Loss: 0.7326
Epoch [75/100], Step[487/526], Loss: 0.7388
Epoch [75/100], Step[488/526], Loss: 0.6834
Epoch [75/100], Step[489/526], Loss: 0.6127
Epoch [75/100], Step[490/526], Loss: 0.6029
Epoch [75/100], Step[491/526], Loss: 0.6842
Epoch [75/100], Step[492/526], Loss: 0.6454
Epoch [75/100], Step[493/526], Loss: 0.6312
Epoch [75/100], Step[494/526], Loss: 0.6672
Epoch [75/100], Step[495/526], Loss: 0.6881
Epoch [75/100], Step[496/526], Loss: 0.6569
Epoch [75/100], Step[497/526], Loss: 0.6268
Epoch [75/100], Step[498/526], Loss: 0.6675
Epoch [75/100], Step[499/526], Loss: 0.6662
Epoch [75/100], Step[500/526], Loss: 0.7033
Epoch [75/100], Step[501/526], Loss: 0.6546
Epoch [75/100], Step[502/526], Loss: 0.6980
Epoch [75/100], Step[503/526], Loss: 0.7144
Epoch [75/100], Step[504/526], Loss: 0.7075
Epoch [75/100], Step[505/526], Loss: 0.7135
Epoch [75/100], Step[506/526], Loss: 0.6564
Epoch [75/100], Step[507/526], Loss: 0.6723
Epoch [75/100], Step[508/526], Loss: 0.6977
Epoch [75/100], Step[509/526], Loss: 0.6346
Epoch [75/100], Step[510/526], Loss: 0.7032
Epoch [75/100], Step[511/526], Loss: 0.6373
Epoch [75/100], Step[512/526], Loss: 0.6653
Epoch [75/100], Step[513/526], Loss: 0.6449
Epoch [75/100], Step[514/526], Loss: 0.6550
Epoch [75/100], Step[515/526], Loss: 0.6444
Epoch [75/100], Step[516/526], Loss: 0.7548
Epoch [75/100], Step[517/526], Loss: 0.6947
Epoch [75/100], Step[518/526], Loss: 0.7311
Epoch [75/100], Step[519/526], Loss: 0.7211
Epoch [75/100], Step[520/526], Loss: 0.6828
Epoch [75/100], Step[521/526], Loss: 0.6590
Epoch [75/100], Step[522/526], Loss: 0.5887
Epoch [75/100], Step[523/526], Loss: 0.6439
Epoch [75/100], Step[524/526], Loss: 0.6222
Epoch [75/100], Step[525/526], Loss: 0.7644
Epoch [75/100], Step[526/526], Loss: 0.7215
Epoch [76/100], Step[1/526], Loss: 0.6538
Epoch [76/100], Step[2/526], Loss: 0.6372
Epoch [76/100], Step[3/526], Loss: 0.6705
Epoch [76/100], Step[4/526], Loss: 0.6245
Epoch [76/100], Step[5/526], Loss: 0.7541
Epoch [76/100], Step[6/526], Loss: 0.7652
Epoch [76/100], Step[7/526], Loss: 0.6909
Epoch [76/100], Step[8/526], Loss: 0.6785
Epoch [76/100], Step[9/526], Loss: 0.6998
Epoch [76/100], Step[10/526], Loss: 0.6449
Epoch [76/100], Step[11/526], Loss: 0.7101
Epoch [76/100], Step[12/526], Loss: 0.7648
Epoch [76/100], Step[13/526], Loss: 0.5907
Epoch [76/100], Step[14/526], Loss: 0.6446
Epoch [76/100], Step[15/526], Loss: 0.6846
Epoch [76/100], Step[16/526], Loss: 0.7025
Epoch [76/100], Step[17/526], Loss: 0.6905
Epoch [76/100], Step[18/526], Loss: 0.6840
Epoch [76/100], Step[19/526], Loss: 0.7193
Epoch [76/100], Step[20/526], Loss: 0.7640
Epoch [76/100], Step[21/526], Loss: 0.7651
Epoch [76/100], Step[22/526], Loss: 0.7336
Epoch [76/100], Step[23/526], Loss: 0.7454
Epoch [76/100], Step[24/526], Loss: 0.7237
Epoch [76/100], Step[25/526], Loss: 0.6943
Epoch [76/100], Step[26/526], Loss: 0.6054
Epoch [76/100], Step[27/526], Loss: 0.6752
Epoch [76/100], Step[28/526], Loss: 0.7062
Epoch [76/100], Step[29/526], Loss: 0.6438
Epoch [76/100], Step[30/526], Loss: 0.6924
Epoch [76/100], Step[31/526], Loss: 0.7010
Epoch [76/100], Step[32/526], Loss: 0.6423
Epoch [76/100], Step[33/526], Loss: 0.7174
Epoch [76/100], Step[34/526], Loss: 0.7000
Epoch [76/100], Step[35/526], Loss: 0.7174
Epoch [76/100], Step[36/526], Loss: 0.7046
Epoch [76/100], Step[37/526], Loss: 0.6918
Epoch [76/100], Step[38/526], Loss: 0.7071
Epoch [76/100], Step[39/526], Loss: 0.6894
Epoch [76/100], Step[40/526], Loss: 0.7076
Epoch [76/100], Step[41/526], Loss: 0.6603
Epoch [76/100], Step[42/526], Loss: 0.7313
Epoch [76/100], Step[43/526], Loss: 0.7131
Epoch [76/100], Step[44/526], Loss: 0.6875
Epoch [76/100], Step[45/526], Loss: 0.6906
Epoch [76/100], Step[46/526], Loss: 0.7008
Epoch [76/100], Step[47/526], Loss: 0.7091
Epoch [76/100], Step[48/526], Loss: 0.7339
Epoch [76/100], Step[49/526], Loss: 0.6994
Epoch [76/100], Step[50/526], Loss: 0.7049
Epoch [76/100], Step[51/526], Loss: 0.6947
Epoch [76/100], Step[52/526], Loss: 0.6719
Epoch [76/100], Step[53/526], Loss: 0.7154
Epoch [76/100], Step[54/526], Loss: 0.7061
Epoch [76/100], Step[55/526], Loss: 0.7100
Epoch [76/100], Step[56/526], Loss: 0.6894
Epoch [76/100], Step[57/526], Loss: 0.6851
Epoch [76/100], Step[58/526], Loss: 0.6724
Epoch [76/100], Step[59/526], Loss: 0.6525
Epoch [76/100], Step[60/526], Loss: 0.6648
Epoch [76/100], Step[61/526], Loss: 0.6582
Epoch [76/100], Step[62/526], Loss: 0.6991
Epoch [76/100], Step[63/526], Loss: 0.6885
Epoch [76/100], Step[64/526], Loss: 0.6767
Epoch [76/100], Step[65/526], Loss: 0.7196
Epoch [76/100], Step[66/526], Loss: 0.6801
Epoch [76/100], Step[67/526], Loss: 0.6364
Epoch [76/100], Step[68/526], Loss: 0.6511
Epoch [76/100], Step[69/526], Loss: 0.6928
Epoch [76/100], Step[70/526], Loss: 0.6884
Epoch [76/100], Step[71/526], Loss: 0.6723
Epoch [76/100], Step[72/526], Loss: 0.6794
Epoch [76/100], Step[73/526], Loss: 0.7181
Epoch [76/100], Step[74/526], Loss: 0.6553
Epoch [76/100], Step[75/526], Loss: 0.7056
Epoch [76/100], Step[76/526], Loss: 0.6803
Epoch [76/100], Step[77/526], Loss: 0.7005
Epoch [76/100], Step[78/526], Loss: 0.7124
Epoch [76/100], Step[79/526], Loss: 0.6884
Epoch [76/100], Step[80/526], Loss: 0.6931
Epoch [76/100], Step[81/526], Loss: 0.6893
Epoch [76/100], Step[82/526], Loss: 0.7200
Epoch [76/100], Step[83/526], Loss: 0.7057
Epoch [76/100], Step[84/526], Loss: 0.6769
Epoch [76/100], Step[85/526], Loss: 0.6572
Epoch [76/100], Step[86/526], Loss: 0.6855
Epoch [76/100], Step[87/526], Loss: 0.6820
Epoch [76/100], Step[88/526], Loss: 0.6918
Epoch [76/100], Step[89/526], Loss: 0.7229
Epoch [76/100], Step[90/526], Loss: 0.6800
Epoch [76/100], Step[91/526], Loss: 0.6774
Epoch [76/100], Step[92/526], Loss: 0.6769
Epoch [76/100], Step[93/526], Loss: 0.6795
Epoch [76/100], Step[94/526], Loss: 0.8094
Epoch [76/100], Step[95/526], Loss: 0.7173
Epoch [76/100], Step[96/526], Loss: 0.6172
Epoch [76/100], Step[97/526], Loss: 0.5926
Epoch [76/100], Step[98/526], Loss: 0.6891
Epoch [76/100], Step[99/526], Loss: 0.6842
Epoch [76/100], Step[100/526], Loss: 0.6644
Epoch [76/100], Step[101/526], Loss: 0.6572
Epoch [76/100], Step[102/526], Loss: 0.6235
Epoch [76/100], Step[103/526], Loss: 0.6877
Epoch [76/100], Step[104/526], Loss: 0.6466
Epoch [76/100], Step[105/526], Loss: 0.6273
Epoch [76/100], Step[106/526], Loss: 0.6835
Epoch [76/100], Step[107/526], Loss: 0.6219
Epoch [76/100], Step[108/526], Loss: 0.5797
Epoch [76/100], Step[109/526], Loss: 0.6701
Epoch [76/100], Step[110/526], Loss: 0.6905
Epoch [76/100], Step[111/526], Loss: 0.5927
Epoch [76/100], Step[112/526], Loss: 0.7353
Epoch [76/100], Step[113/526], Loss: 0.6100
Epoch [76/100], Step[114/526], Loss: 0.6625
Epoch [76/100], Step[115/526], Loss: 0.5963
Epoch [76/100], Step[116/526], Loss: 0.6324
Epoch [76/100], Step[117/526], Loss: 0.6721
Epoch [76/100], Step[118/526], Loss: 0.7485
Epoch [76/100], Step[119/526], Loss: 0.6762
Epoch [76/100], Step[120/526], Loss: 0.6729
Epoch [76/100], Step[121/526], Loss: 0.6874
Epoch [76/100], Step[122/526], Loss: 0.6271
Epoch [76/100], Step[123/526], Loss: 0.6532
Epoch [76/100], Step[124/526], Loss: 0.6684
Epoch [76/100], Step[125/526], Loss: 0.6405
Epoch [76/100], Step[126/526], Loss: 0.7120
Epoch [76/100], Step[127/526], Loss: 0.6638
Epoch [76/100], Step[128/526], Loss: 0.6373
Epoch [76/100], Step[129/526], Loss: 0.6036
Epoch [76/100], Step[130/526], Loss: 0.6447
Epoch [76/100], Step[131/526], Loss: 0.6673
Epoch [76/100], Step[132/526], Loss: 0.7089
Epoch [76/100], Step[133/526], Loss: 0.6799
Epoch [76/100], Step[134/526], Loss: 0.6288
Epoch [76/100], Step[135/526], Loss: 0.6444
Epoch [76/100], Step[136/526], Loss: 0.5641
Epoch [76/100], Step[137/526], Loss: 0.6296
Epoch [76/100], Step[138/526], Loss: 0.6395
Epoch [76/100], Step[139/526], Loss: 0.6846
Epoch [76/100], Step[140/526], Loss: 0.5962
Epoch [76/100], Step[141/526], Loss: 0.6751
Epoch [76/100], Step[142/526], Loss: 0.6693
Epoch [76/100], Step[143/526], Loss: 0.6834
Epoch [76/100], Step[144/526], Loss: 0.7638
Epoch [76/100], Step[145/526], Loss: 0.5160
Epoch [76/100], Step[146/526], Loss: 0.5107
Epoch [76/100], Step[147/526], Loss: 0.4882
Epoch [76/100], Step[148/526], Loss: 0.5958
Epoch [76/100], Step[149/526], Loss: 0.4786
Epoch [76/100], Step[150/526], Loss: 0.5579
Epoch [76/100], Step[151/526], Loss: 0.5531
Epoch [76/100], Step[152/526], Loss: 0.6297
Epoch [76/100], Step[153/526], Loss: 0.6443
Epoch [76/100], Step[154/526], Loss: 0.6692
Epoch [76/100], Step[155/526], Loss: 0.6668
Epoch [76/100], Step[156/526], Loss: 0.5725
Epoch [76/100], Step[157/526], Loss: 0.2907
Epoch [76/100], Step[158/526], Loss: 0.6025
Epoch [76/100], Step[159/526], Loss: 0.6300
Epoch [76/100], Step[160/526], Loss: 0.5593
Epoch [76/100], Step[161/526], Loss: 0.8259
Epoch [76/100], Step[162/526], Loss: 0.7142
Epoch [76/100], Step[163/526], Loss: 0.7028
Epoch [76/100], Step[164/526], Loss: 0.6189
Epoch [76/100], Step[165/526], Loss: 0.7082
Epoch [76/100], Step[166/526], Loss: 0.5285
Epoch [76/100], Step[167/526], Loss: 0.5665
Epoch [76/100], Step[168/526], Loss: 0.7058
Epoch [76/100], Step[169/526], Loss: 0.7293
Epoch [76/100], Step[170/526], Loss: 0.7251
Epoch [76/100], Step[171/526], Loss: 0.7267
Epoch [76/100], Step[172/526], Loss: 0.7253
Epoch [76/100], Step[173/526], Loss: 0.8181
Epoch [76/100], Step[174/526], Loss: 0.6246
Epoch [76/100], Step[175/526], Loss: 0.6419
Epoch [76/100], Step[176/526], Loss: 0.6685
Epoch [76/100], Step[177/526], Loss: 0.6714
Epoch [76/100], Step[178/526], Loss: 0.6927
Epoch [76/100], Step[179/526], Loss: 0.6251
Epoch [76/100], Step[180/526], Loss: 0.6318
Epoch [76/100], Step[181/526], Loss: 0.6588
Epoch [76/100], Step[182/526], Loss: 0.6842
Epoch [76/100], Step[183/526], Loss: 0.5487
Epoch [76/100], Step[184/526], Loss: 0.5513
Epoch [76/100], Step[185/526], Loss: 0.5731
Epoch [76/100], Step[186/526], Loss: 0.6247
Epoch [76/100], Step[187/526], Loss: 0.7575
Epoch [76/100], Step[188/526], Loss: 0.7601
Epoch [76/100], Step[189/526], Loss: 0.6769
Epoch [76/100], Step[190/526], Loss: 0.6580
Epoch [76/100], Step[191/526], Loss: 0.7254
Epoch [76/100], Step[192/526], Loss: 0.8039
Epoch [76/100], Step[193/526], Loss: 0.5977
Epoch [76/100], Step[194/526], Loss: 0.6328
Epoch [76/100], Step[195/526], Loss: 0.6199
Epoch [76/100], Step[196/526], Loss: 0.7068
Epoch [76/100], Step[197/526], Loss: 0.6285
Epoch [76/100], Step[198/526], Loss: 0.5937
Epoch [76/100], Step[199/526], Loss: 0.7157
Epoch [76/100], Step[200/526], Loss: 0.6416
Epoch [76/100], Step[201/526], Loss: 0.6894
Epoch [76/100], Step[202/526], Loss: 0.8234
Epoch [76/100], Step[203/526], Loss: 0.6545
Epoch [76/100], Step[204/526], Loss: 0.8043
Epoch [76/100], Step[205/526], Loss: 0.7094
Epoch [76/100], Step[206/526], Loss: 0.6930
Epoch [76/100], Step[207/526], Loss: 0.7070
Epoch [76/100], Step[208/526], Loss: 0.6984
Epoch [76/100], Step[209/526], Loss: 0.7040
Epoch [76/100], Step[210/526], Loss: 0.7982
Epoch [76/100], Step[211/526], Loss: 0.6254
Epoch [76/100], Step[212/526], Loss: 0.6990
Epoch [76/100], Step[213/526], Loss: 0.7309
Epoch [76/100], Step[214/526], Loss: 0.7213
Epoch [76/100], Step[215/526], Loss: 0.6971
Epoch [76/100], Step[216/526], Loss: 0.6775
Epoch [76/100], Step[217/526], Loss: 0.6720
Epoch [76/100], Step[218/526], Loss: 0.6985
Epoch [76/100], Step[219/526], Loss: 0.6932
Epoch [76/100], Step[220/526], Loss: 0.7393
Epoch [76/100], Step[221/526], Loss: 0.6953
Epoch [76/100], Step[222/526], Loss: 0.7576
Epoch [76/100], Step[223/526], Loss: 0.6527
Epoch [76/100], Step[224/526], Loss: 0.6607
Epoch [76/100], Step[225/526], Loss: 0.7319
Epoch [76/100], Step[226/526], Loss: 0.6584
Epoch [76/100], Step[227/526], Loss: 0.6624
Epoch [76/100], Step[228/526], Loss: 0.6548
Epoch [76/100], Step[229/526], Loss: 0.6845
Epoch [76/100], Step[230/526], Loss: 0.6597
Epoch [76/100], Step[231/526], Loss: 0.6609
Epoch [76/100], Step[232/526], Loss: 0.6911
Epoch [76/100], Step[233/526], Loss: 0.6771
Epoch [76/100], Step[234/526], Loss: 0.6354
Epoch [76/100], Step[235/526], Loss: 0.7021
Epoch [76/100], Step[236/526], Loss: 0.6934
Epoch [76/100], Step[237/526], Loss: 0.7077
Epoch [76/100], Step[238/526], Loss: 0.6511
Epoch [76/100], Step[239/526], Loss: 0.6518
Epoch [76/100], Step[240/526], Loss: 0.7106
Epoch [76/100], Step[241/526], Loss: 0.6891
Epoch [76/100], Step[242/526], Loss: 0.7157
Epoch [76/100], Step[243/526], Loss: 0.6092
Epoch [76/100], Step[244/526], Loss: 0.5922
Epoch [76/100], Step[245/526], Loss: 0.6110
Epoch [76/100], Step[246/526], Loss: 0.6535
Epoch [76/100], Step[247/526], Loss: 0.5580
Epoch [76/100], Step[248/526], Loss: 0.6012
Epoch [76/100], Step[249/526], Loss: 0.7004
Epoch [76/100], Step[250/526], Loss: 0.6821
Epoch [76/100], Step[251/526], Loss: 0.6585
Epoch [76/100], Step[252/526], Loss: 0.6978
Epoch [76/100], Step[253/526], Loss: 0.6021
Epoch [76/100], Step[254/526], Loss: 0.6460
Epoch [76/100], Step[255/526], Loss: 0.5457
Epoch [76/100], Step[256/526], Loss: 0.6660
Epoch [76/100], Step[257/526], Loss: 0.6538
Epoch [76/100], Step[258/526], Loss: 0.6228
Epoch [76/100], Step[259/526], Loss: 0.6999
Epoch [76/100], Step[260/526], Loss: 0.7830
Epoch [76/100], Step[261/526], Loss: 0.8106
Epoch [76/100], Step[262/526], Loss: 0.6420
Epoch [76/100], Step[263/526], Loss: 0.6694
Epoch [76/100], Step[264/526], Loss: 0.6298
Epoch [76/100], Step[265/526], Loss: 0.5623
Epoch [76/100], Step[266/526], Loss: 0.5556
Epoch [76/100], Step[267/526], Loss: 0.4755
Epoch [76/100], Step[268/526], Loss: 0.5571
Epoch [76/100], Step[269/526], Loss: 0.4283
Epoch [76/100], Step[270/526], Loss: 0.3849
Epoch [76/100], Step[271/526], Loss: 0.5158
Epoch [76/100], Step[272/526], Loss: 0.5149
Epoch [76/100], Step[273/526], Loss: 0.6485
Epoch [76/100], Step[274/526], Loss: 0.4433
Epoch [76/100], Step[275/526], Loss: 0.3773
Epoch [76/100], Step[276/526], Loss: 0.4917
Epoch [76/100], Step[277/526], Loss: 0.3673
Epoch [76/100], Step[278/526], Loss: 0.4494
Epoch [76/100], Step[279/526], Loss: 0.4069
Epoch [76/100], Step[280/526], Loss: 0.4506
Epoch [76/100], Step[281/526], Loss: 0.6594
Epoch [76/100], Step[282/526], Loss: 0.3858
Epoch [76/100], Step[283/526], Loss: 0.3914
Epoch [76/100], Step[284/526], Loss: 0.4165
Epoch [76/100], Step[285/526], Loss: 0.2948
Epoch [76/100], Step[286/526], Loss: 0.7044
Epoch [76/100], Step[287/526], Loss: 0.5177
Epoch [76/100], Step[288/526], Loss: 0.3892
Epoch [76/100], Step[289/526], Loss: 0.5978
Epoch [76/100], Step[290/526], Loss: 0.4306
Epoch [76/100], Step[291/526], Loss: 0.5006
Epoch [76/100], Step[292/526], Loss: 0.2750
Epoch [76/100], Step[293/526], Loss: 0.3124
Epoch [76/100], Step[294/526], Loss: 0.3308
Epoch [76/100], Step[295/526], Loss: 0.4024
Epoch [76/100], Step[296/526], Loss: 0.5904
Epoch [76/100], Step[297/526], Loss: 0.3140
Epoch [76/100], Step[298/526], Loss: 0.2881
Epoch [76/100], Step[299/526], Loss: 0.2193
Epoch [76/100], Step[300/526], Loss: 0.2599
Epoch [76/100], Step[301/526], Loss: 0.6169
Epoch [76/100], Step[302/526], Loss: 0.3547
Epoch [76/100], Step[303/526], Loss: 0.4469
Epoch [76/100], Step[304/526], Loss: 0.2474
Epoch [76/100], Step[305/526], Loss: 0.2480
Epoch [76/100], Step[306/526], Loss: 0.5969
Epoch [76/100], Step[307/526], Loss: 0.9099
Epoch [76/100], Step[308/526], Loss: 1.3482
Epoch [76/100], Step[309/526], Loss: 0.9804
Epoch [76/100], Step[310/526], Loss: 0.9615
Epoch [76/100], Step[311/526], Loss: 0.8387
Epoch [76/100], Step[312/526], Loss: 0.4904
Epoch [76/100], Step[313/526], Loss: 0.4387
Epoch [76/100], Step[314/526], Loss: 0.5877
Epoch [76/100], Step[315/526], Loss: 0.6882
Epoch [76/100], Step[316/526], Loss: 0.5015
Epoch [76/100], Step[317/526], Loss: 0.3301
Epoch [76/100], Step[318/526], Loss: 0.7346
Epoch [76/100], Step[319/526], Loss: 0.3779
Epoch [76/100], Step[320/526], Loss: 0.6163
Epoch [76/100], Step[321/526], Loss: 0.7541
Epoch [76/100], Step[322/526], Loss: 0.2758
Epoch [76/100], Step[323/526], Loss: 0.6077
Epoch [76/100], Step[324/526], Loss: 0.6370
Epoch [76/100], Step[325/526], Loss: 0.5469
Epoch [76/100], Step[326/526], Loss: 0.7587
Epoch [76/100], Step[327/526], Loss: 0.7705
Epoch [76/100], Step[328/526], Loss: 0.9228
Epoch [76/100], Step[329/526], Loss: 1.2740
Epoch [76/100], Step[330/526], Loss: 1.0194
Epoch [76/100], Step[331/526], Loss: 0.8013
Epoch [76/100], Step[332/526], Loss: 0.8554
Epoch [76/100], Step[333/526], Loss: 0.7395
Epoch [76/100], Step[334/526], Loss: 0.7911
Epoch [76/100], Step[335/526], Loss: 0.7571
Epoch [76/100], Step[336/526], Loss: 0.6864
Epoch [76/100], Step[337/526], Loss: 0.5818
Epoch [76/100], Step[338/526], Loss: 0.7185
Epoch [76/100], Step[339/526], Loss: 0.6489
Epoch [76/100], Step[340/526], Loss: 0.7250
Epoch [76/100], Step[341/526], Loss: 0.7306
Epoch [76/100], Step[342/526], Loss: 0.7403
Epoch [76/100], Step[343/526], Loss: 0.5321
Epoch [76/100], Step[344/526], Loss: 0.6980
Epoch [76/100], Step[345/526], Loss: 0.7025
Epoch [76/100], Step[346/526], Loss: 0.6599
Epoch [76/100], Step[347/526], Loss: 0.7198
Epoch [76/100], Step[348/526], Loss: 0.6159
Epoch [76/100], Step[349/526], Loss: 0.5804
Epoch [76/100], Step[350/526], Loss: 0.6552
Epoch [76/100], Step[351/526], Loss: 0.6878
Epoch [76/100], Step[352/526], Loss: 0.6193
Epoch [76/100], Step[353/526], Loss: 0.6678
Epoch [76/100], Step[354/526], Loss: 0.6679
Epoch [76/100], Step[355/526], Loss: 0.6603
Epoch [76/100], Step[356/526], Loss: 0.6937
Epoch [76/100], Step[357/526], Loss: 0.6522
Epoch [76/100], Step[358/526], Loss: 0.6984
Epoch [76/100], Step[359/526], Loss: 0.6355
Epoch [76/100], Step[360/526], Loss: 0.6839
Epoch [76/100], Step[361/526], Loss: 0.7137
Epoch [76/100], Step[362/526], Loss: 0.7026
Epoch [76/100], Step[363/526], Loss: 0.6978
Epoch [76/100], Step[364/526], Loss: 0.7342
Epoch [76/100], Step[365/526], Loss: 0.7274
Epoch [76/100], Step[366/526], Loss: 0.6847
Epoch [76/100], Step[367/526], Loss: 0.6839
Epoch [76/100], Step[368/526], Loss: 0.6515
Epoch [76/100], Step[369/526], Loss: 0.6480
Epoch [76/100], Step[370/526], Loss: 0.5442
Epoch [76/100], Step[371/526], Loss: 0.7433
Epoch [76/100], Step[372/526], Loss: 0.6274
Epoch [76/100], Step[373/526], Loss: 0.6781
Epoch [76/100], Step[374/526], Loss: 0.7065
Epoch [76/100], Step[375/526], Loss: 0.6377
Epoch [76/100], Step[376/526], Loss: 0.6348
Epoch [76/100], Step[377/526], Loss: 0.6955
Epoch [76/100], Step[378/526], Loss: 0.6833
Epoch [76/100], Step[379/526], Loss: 0.7855
Epoch [76/100], Step[380/526], Loss: 0.6054
Epoch [76/100], Step[381/526], Loss: 0.5851
Epoch [76/100], Step[382/526], Loss: 0.6724
Epoch [76/100], Step[383/526], Loss: 0.6947
Epoch [76/100], Step[384/526], Loss: 0.6267
Epoch [76/100], Step[385/526], Loss: 0.6337
Epoch [76/100], Step[386/526], Loss: 0.6611
Epoch [76/100], Step[387/526], Loss: 0.6677
Epoch [76/100], Step[388/526], Loss: 0.5857
Epoch [76/100], Step[389/526], Loss: 0.7381
Epoch [76/100], Step[390/526], Loss: 0.5827
Epoch [76/100], Step[391/526], Loss: 0.6412
Epoch [76/100], Step[392/526], Loss: 0.7157
Epoch [76/100], Step[393/526], Loss: 0.5836
Epoch [76/100], Step[394/526], Loss: 0.5183
Epoch [76/100], Step[395/526], Loss: 0.5951
Epoch [76/100], Step[396/526], Loss: 0.6240
Epoch [76/100], Step[397/526], Loss: 0.4757
Epoch [76/100], Step[398/526], Loss: 0.6065
Epoch [76/100], Step[399/526], Loss: 0.6572
Epoch [76/100], Step[400/526], Loss: 0.4848
Epoch [76/100], Step[401/526], Loss: 0.6002
Epoch [76/100], Step[402/526], Loss: 0.6519
Epoch [76/100], Step[403/526], Loss: 0.7580
Epoch [76/100], Step[404/526], Loss: 0.4786
Epoch [76/100], Step[405/526], Loss: 0.4986
Epoch [76/100], Step[406/526], Loss: 0.6326
Epoch [76/100], Step[407/526], Loss: 0.7635
Epoch [76/100], Step[408/526], Loss: 0.6531
Epoch [76/100], Step[409/526], Loss: 0.4851
Epoch [76/100], Step[410/526], Loss: 0.5058
Epoch [76/100], Step[411/526], Loss: 0.5431
Epoch [76/100], Step[412/526], Loss: 0.6014
Epoch [76/100], Step[413/526], Loss: 0.6114
Epoch [76/100], Step[414/526], Loss: 0.6467
Epoch [76/100], Step[415/526], Loss: 0.6090
Epoch [76/100], Step[416/526], Loss: 0.5667
Epoch [76/100], Step[417/526], Loss: 0.4582
Epoch [76/100], Step[418/526], Loss: 0.7481
Epoch [76/100], Step[419/526], Loss: 0.6863
Epoch [76/100], Step[420/526], Loss: 0.6747
Epoch [76/100], Step[421/526], Loss: 0.6627
Epoch [76/100], Step[422/526], Loss: 0.7505
Epoch [76/100], Step[423/526], Loss: 0.6905
Epoch [76/100], Step[424/526], Loss: 0.7525
Epoch [76/100], Step[425/526], Loss: 0.7003
Epoch [76/100], Step[426/526], Loss: 0.7470
Epoch [76/100], Step[427/526], Loss: 0.7033
Epoch [76/100], Step[428/526], Loss: 0.7135
Epoch [76/100], Step[429/526], Loss: 0.7334
Epoch [76/100], Step[430/526], Loss: 0.7779
Epoch [76/100], Step[431/526], Loss: 0.7093
Epoch [76/100], Step[432/526], Loss: 0.7242
Epoch [76/100], Step[433/526], Loss: 0.6701
Epoch [76/100], Step[434/526], Loss: 0.6046
Epoch [76/100], Step[435/526], Loss: 0.7685
Epoch [76/100], Step[436/526], Loss: 0.8105
Epoch [76/100], Step[437/526], Loss: 0.4935
Epoch [76/100], Step[438/526], Loss: 0.3716
Epoch [76/100], Step[439/526], Loss: 0.7215
Epoch [76/100], Step[440/526], Loss: 0.6819
Epoch [76/100], Step[441/526], Loss: 0.6978
Epoch [76/100], Step[442/526], Loss: 0.6462
Epoch [76/100], Step[443/526], Loss: 0.6703
Epoch [76/100], Step[444/526], Loss: 0.7567
Epoch [76/100], Step[445/526], Loss: 0.7079
Epoch [76/100], Step[446/526], Loss: 0.7066
Epoch [76/100], Step[447/526], Loss: 0.7274
Epoch [76/100], Step[448/526], Loss: 0.7185
Epoch [76/100], Step[449/526], Loss: 0.6719
Epoch [76/100], Step[450/526], Loss: 0.5951
Epoch [76/100], Step[451/526], Loss: 0.6645
Epoch [76/100], Step[452/526], Loss: 0.7298
Epoch [76/100], Step[453/526], Loss: 0.7091
Epoch [76/100], Step[454/526], Loss: 0.8463
Epoch [76/100], Step[455/526], Loss: 0.6476
Epoch [76/100], Step[456/526], Loss: 0.6285
Epoch [76/100], Step[457/526], Loss: 0.6994
Epoch [76/100], Step[458/526], Loss: 0.6861
Epoch [76/100], Step[459/526], Loss: 0.6615
Epoch [76/100], Step[460/526], Loss: 0.6315
Epoch [76/100], Step[461/526], Loss: 0.5975
Epoch [76/100], Step[462/526], Loss: 0.6560
Epoch [76/100], Step[463/526], Loss: 0.6463
Epoch [76/100], Step[464/526], Loss: 0.6174
Epoch [76/100], Step[465/526], Loss: 0.6457
Epoch [76/100], Step[466/526], Loss: 0.6599
Epoch [76/100], Step[467/526], Loss: 0.6501
Epoch [76/100], Step[468/526], Loss: 0.5985
Epoch [76/100], Step[469/526], Loss: 0.8318
Epoch [76/100], Step[470/526], Loss: 0.6637
Epoch [76/100], Step[471/526], Loss: 0.6869
Epoch [76/100], Step[472/526], Loss: 0.6790
Epoch [76/100], Step[473/526], Loss: 0.6757
Epoch [76/100], Step[474/526], Loss: 0.6763
Epoch [76/100], Step[475/526], Loss: 0.8420
Epoch [76/100], Step[476/526], Loss: 0.7410
Epoch [76/100], Step[477/526], Loss: 0.6979
Epoch [76/100], Step[478/526], Loss: 0.6825
Epoch [76/100], Step[479/526], Loss: 0.6614
Epoch [76/100], Step[480/526], Loss: 0.7407
Epoch [76/100], Step[481/526], Loss: 0.7297
Epoch [76/100], Step[482/526], Loss: 0.6244
Epoch [76/100], Step[483/526], Loss: 0.5289
Epoch [76/100], Step[484/526], Loss: 0.7157
Epoch [76/100], Step[485/526], Loss: 0.7618
Epoch [76/100], Step[486/526], Loss: 0.7341
Epoch [76/100], Step[487/526], Loss: 0.7397
Epoch [76/100], Step[488/526], Loss: 0.6816
Epoch [76/100], Step[489/526], Loss: 0.6115
Epoch [76/100], Step[490/526], Loss: 0.6002
Epoch [76/100], Step[491/526], Loss: 0.6770
Epoch [76/100], Step[492/526], Loss: 0.6462
Epoch [76/100], Step[493/526], Loss: 0.6310
Epoch [76/100], Step[494/526], Loss: 0.6689
Epoch [76/100], Step[495/526], Loss: 0.6881
Epoch [76/100], Step[496/526], Loss: 0.6553
Epoch [76/100], Step[497/526], Loss: 0.6244
Epoch [76/100], Step[498/526], Loss: 0.6682
Epoch [76/100], Step[499/526], Loss: 0.6668
Epoch [76/100], Step[500/526], Loss: 0.7090
Epoch [76/100], Step[501/526], Loss: 0.6535
Epoch [76/100], Step[502/526], Loss: 0.6991
Epoch [76/100], Step[503/526], Loss: 0.7139
Epoch [76/100], Step[504/526], Loss: 0.7093
Epoch [76/100], Step[505/526], Loss: 0.7138
Epoch [76/100], Step[506/526], Loss: 0.6553
Epoch [76/100], Step[507/526], Loss: 0.6729
Epoch [76/100], Step[508/526], Loss: 0.6991
Epoch [76/100], Step[509/526], Loss: 0.6331
Epoch [76/100], Step[510/526], Loss: 0.7034
Epoch [76/100], Step[511/526], Loss: 0.6368
Epoch [76/100], Step[512/526], Loss: 0.6642
Epoch [76/100], Step[513/526], Loss: 0.6470
Epoch [76/100], Step[514/526], Loss: 0.6551
Epoch [76/100], Step[515/526], Loss: 0.6048
Epoch [76/100], Step[516/526], Loss: 0.7540
Epoch [76/100], Step[517/526], Loss: 0.6943
Epoch [76/100], Step[518/526], Loss: 0.7312
Epoch [76/100], Step[519/526], Loss: 0.7213
Epoch [76/100], Step[520/526], Loss: 0.6857
Epoch [76/100], Step[521/526], Loss: 0.6611
Epoch [76/100], Step[522/526], Loss: 0.5862
Epoch [76/100], Step[523/526], Loss: 0.6436
Epoch [76/100], Step[524/526], Loss: 0.6227
Epoch [76/100], Step[525/526], Loss: 0.7610
Epoch [76/100], Step[526/526], Loss: 0.7181
Epoch [77/100], Step[1/526], Loss: 0.6563
Epoch [77/100], Step[2/526], Loss: 0.6432
Epoch [77/100], Step[3/526], Loss: 0.6681
Epoch [77/100], Step[4/526], Loss: 0.6263
Epoch [77/100], Step[5/526], Loss: 0.7529
Epoch [77/100], Step[6/526], Loss: 0.7608
Epoch [77/100], Step[7/526], Loss: 0.6904
Epoch [77/100], Step[8/526], Loss: 0.6764
Epoch [77/100], Step[9/526], Loss: 0.6985
Epoch [77/100], Step[10/526], Loss: 0.6490
Epoch [77/100], Step[11/526], Loss: 0.7043
Epoch [77/100], Step[12/526], Loss: 0.7537
Epoch [77/100], Step[13/526], Loss: 0.5978
Epoch [77/100], Step[14/526], Loss: 0.6486
Epoch [77/100], Step[15/526], Loss: 0.6832
Epoch [77/100], Step[16/526], Loss: 0.7054
Epoch [77/100], Step[17/526], Loss: 0.6934
Epoch [77/100], Step[18/526], Loss: 0.6849
Epoch [77/100], Step[19/526], Loss: 0.7200
Epoch [77/100], Step[20/526], Loss: 0.7565
Epoch [77/100], Step[21/526], Loss: 0.7645
Epoch [77/100], Step[22/526], Loss: 0.7347
Epoch [77/100], Step[23/526], Loss: 0.7459
Epoch [77/100], Step[24/526], Loss: 0.7220
Epoch [77/100], Step[25/526], Loss: 0.6921
Epoch [77/100], Step[26/526], Loss: 0.6065
Epoch [77/100], Step[27/526], Loss: 0.6782
Epoch [77/100], Step[28/526], Loss: 0.7071
Epoch [77/100], Step[29/526], Loss: 0.6424
Epoch [77/100], Step[30/526], Loss: 0.6881
Epoch [77/100], Step[31/526], Loss: 0.7002
Epoch [77/100], Step[32/526], Loss: 0.6451
Epoch [77/100], Step[33/526], Loss: 0.7170
Epoch [77/100], Step[34/526], Loss: 0.6981
Epoch [77/100], Step[35/526], Loss: 0.7192
Epoch [77/100], Step[36/526], Loss: 0.6986
Epoch [77/100], Step[37/526], Loss: 0.6933
Epoch [77/100], Step[38/526], Loss: 0.7100
Epoch [77/100], Step[39/526], Loss: 0.6903
Epoch [77/100], Step[40/526], Loss: 0.7087
Epoch [77/100], Step[41/526], Loss: 0.6556
Epoch [77/100], Step[42/526], Loss: 0.7315
Epoch [77/100], Step[43/526], Loss: 0.7139
Epoch [77/100], Step[44/526], Loss: 0.6874
Epoch [77/100], Step[45/526], Loss: 0.6896
Epoch [77/100], Step[46/526], Loss: 0.7008
Epoch [77/100], Step[47/526], Loss: 0.7086
Epoch [77/100], Step[48/526], Loss: 0.7361
Epoch [77/100], Step[49/526], Loss: 0.7009
Epoch [77/100], Step[50/526], Loss: 0.6990
Epoch [77/100], Step[51/526], Loss: 0.6937
Epoch [77/100], Step[52/526], Loss: 0.6718
Epoch [77/100], Step[53/526], Loss: 0.7117
Epoch [77/100], Step[54/526], Loss: 0.7084
Epoch [77/100], Step[55/526], Loss: 0.7245
Epoch [77/100], Step[56/526], Loss: 0.6865
Epoch [77/100], Step[57/526], Loss: 0.6857
Epoch [77/100], Step[58/526], Loss: 0.6715
Epoch [77/100], Step[59/526], Loss: 0.6527
Epoch [77/100], Step[60/526], Loss: 0.6633
Epoch [77/100], Step[61/526], Loss: 0.6640
Epoch [77/100], Step[62/526], Loss: 0.7002
Epoch [77/100], Step[63/526], Loss: 0.6891
Epoch [77/100], Step[64/526], Loss: 0.6755
Epoch [77/100], Step[65/526], Loss: 0.7234
Epoch [77/100], Step[66/526], Loss: 0.6795
Epoch [77/100], Step[67/526], Loss: 0.6336
Epoch [77/100], Step[68/526], Loss: 0.6528
Epoch [77/100], Step[69/526], Loss: 0.6917
Epoch [77/100], Step[70/526], Loss: 0.6872
Epoch [77/100], Step[71/526], Loss: 0.6721
Epoch [77/100], Step[72/526], Loss: 0.6800
Epoch [77/100], Step[73/526], Loss: 0.7192
Epoch [77/100], Step[74/526], Loss: 0.6554
Epoch [77/100], Step[75/526], Loss: 0.7036
Epoch [77/100], Step[76/526], Loss: 0.6813
Epoch [77/100], Step[77/526], Loss: 0.7016
Epoch [77/100], Step[78/526], Loss: 0.7112
Epoch [77/100], Step[79/526], Loss: 0.6893
Epoch [77/100], Step[80/526], Loss: 0.6940
Epoch [77/100], Step[81/526], Loss: 0.6906
Epoch [77/100], Step[82/526], Loss: 0.7202
Epoch [77/100], Step[83/526], Loss: 0.7055
Epoch [77/100], Step[84/526], Loss: 0.6778
Epoch [77/100], Step[85/526], Loss: 0.6583
Epoch [77/100], Step[86/526], Loss: 0.6850
Epoch [77/100], Step[87/526], Loss: 0.6830
Epoch [77/100], Step[88/526], Loss: 0.6915
Epoch [77/100], Step[89/526], Loss: 0.7237
Epoch [77/100], Step[90/526], Loss: 0.6783
Epoch [77/100], Step[91/526], Loss: 0.6784
Epoch [77/100], Step[92/526], Loss: 0.6751
Epoch [77/100], Step[93/526], Loss: 0.6809
Epoch [77/100], Step[94/526], Loss: 0.8100
Epoch [77/100], Step[95/526], Loss: 0.7158
Epoch [77/100], Step[96/526], Loss: 0.6113
Epoch [77/100], Step[97/526], Loss: 0.5873
Epoch [77/100], Step[98/526], Loss: 0.6891
Epoch [77/100], Step[99/526], Loss: 0.6850
Epoch [77/100], Step[100/526], Loss: 0.6569
Epoch [77/100], Step[101/526], Loss: 0.6565
Epoch [77/100], Step[102/526], Loss: 0.6230
Epoch [77/100], Step[103/526], Loss: 0.6993
Epoch [77/100], Step[104/526], Loss: 0.6468
Epoch [77/100], Step[105/526], Loss: 0.6245
Epoch [77/100], Step[106/526], Loss: 0.6835
Epoch [77/100], Step[107/526], Loss: 0.6204
Epoch [77/100], Step[108/526], Loss: 0.5794
Epoch [77/100], Step[109/526], Loss: 0.6673
Epoch [77/100], Step[110/526], Loss: 0.6900
Epoch [77/100], Step[111/526], Loss: 0.5933
Epoch [77/100], Step[112/526], Loss: 0.7405
Epoch [77/100], Step[113/526], Loss: 0.6078
Epoch [77/100], Step[114/526], Loss: 0.6601
Epoch [77/100], Step[115/526], Loss: 0.5944
Epoch [77/100], Step[116/526], Loss: 0.6312
Epoch [77/100], Step[117/526], Loss: 0.6759
Epoch [77/100], Step[118/526], Loss: 0.7515
Epoch [77/100], Step[119/526], Loss: 0.6764
Epoch [77/100], Step[120/526], Loss: 0.6722
Epoch [77/100], Step[121/526], Loss: 0.6913
Epoch [77/100], Step[122/526], Loss: 0.6252
Epoch [77/100], Step[123/526], Loss: 0.6539
Epoch [77/100], Step[124/526], Loss: 0.6693
Epoch [77/100], Step[125/526], Loss: 0.6389
Epoch [77/100], Step[126/526], Loss: 0.7108
Epoch [77/100], Step[127/526], Loss: 0.6629
Epoch [77/100], Step[128/526], Loss: 0.6356
Epoch [77/100], Step[129/526], Loss: 0.6042
Epoch [77/100], Step[130/526], Loss: 0.6422
Epoch [77/100], Step[131/526], Loss: 0.6640
Epoch [77/100], Step[132/526], Loss: 0.7063
Epoch [77/100], Step[133/526], Loss: 0.6821
Epoch [77/100], Step[134/526], Loss: 0.6295
Epoch [77/100], Step[135/526], Loss: 0.6434
Epoch [77/100], Step[136/526], Loss: 0.5630
Epoch [77/100], Step[137/526], Loss: 0.6328
Epoch [77/100], Step[138/526], Loss: 0.6397
Epoch [77/100], Step[139/526], Loss: 0.6866
Epoch [77/100], Step[140/526], Loss: 0.5941
Epoch [77/100], Step[141/526], Loss: 0.6733
Epoch [77/100], Step[142/526], Loss: 0.6706
Epoch [77/100], Step[143/526], Loss: 0.6845
Epoch [77/100], Step[144/526], Loss: 0.7666
Epoch [77/100], Step[145/526], Loss: 0.5137
Epoch [77/100], Step[146/526], Loss: 0.5023
Epoch [77/100], Step[147/526], Loss: 0.4850
Epoch [77/100], Step[148/526], Loss: 0.5943
Epoch [77/100], Step[149/526], Loss: 0.4721
Epoch [77/100], Step[150/526], Loss: 0.5514
Epoch [77/100], Step[151/526], Loss: 0.5452
Epoch [77/100], Step[152/526], Loss: 0.6271
Epoch [77/100], Step[153/526], Loss: 0.6424
Epoch [77/100], Step[154/526], Loss: 0.6740
Epoch [77/100], Step[155/526], Loss: 0.6683
Epoch [77/100], Step[156/526], Loss: 0.5674
Epoch [77/100], Step[157/526], Loss: 0.2839
Epoch [77/100], Step[158/526], Loss: 0.6002
Epoch [77/100], Step[159/526], Loss: 0.6330
Epoch [77/100], Step[160/526], Loss: 0.5577
Epoch [77/100], Step[161/526], Loss: 0.8264
Epoch [77/100], Step[162/526], Loss: 0.7142
Epoch [77/100], Step[163/526], Loss: 0.7055
Epoch [77/100], Step[164/526], Loss: 0.6146
Epoch [77/100], Step[165/526], Loss: 0.7096
Epoch [77/100], Step[166/526], Loss: 0.5288
Epoch [77/100], Step[167/526], Loss: 0.5634
Epoch [77/100], Step[168/526], Loss: 0.6932
Epoch [77/100], Step[169/526], Loss: 0.7225
Epoch [77/100], Step[170/526], Loss: 0.7223
Epoch [77/100], Step[171/526], Loss: 0.7288
Epoch [77/100], Step[172/526], Loss: 0.7239
Epoch [77/100], Step[173/526], Loss: 0.8121
Epoch [77/100], Step[174/526], Loss: 0.6222
Epoch [77/100], Step[175/526], Loss: 0.6449
Epoch [77/100], Step[176/526], Loss: 0.6633
Epoch [77/100], Step[177/526], Loss: 0.6707
Epoch [77/100], Step[178/526], Loss: 0.6928
Epoch [77/100], Step[179/526], Loss: 0.6233
Epoch [77/100], Step[180/526], Loss: 0.6366
Epoch [77/100], Step[181/526], Loss: 0.6594
Epoch [77/100], Step[182/526], Loss: 0.6798
Epoch [77/100], Step[183/526], Loss: 0.5491
Epoch [77/100], Step[184/526], Loss: 0.5519
Epoch [77/100], Step[185/526], Loss: 0.5774
Epoch [77/100], Step[186/526], Loss: 0.6245
Epoch [77/100], Step[187/526], Loss: 0.7569
Epoch [77/100], Step[188/526], Loss: 0.7544
Epoch [77/100], Step[189/526], Loss: 0.6747
Epoch [77/100], Step[190/526], Loss: 0.6677
Epoch [77/100], Step[191/526], Loss: 0.7229
Epoch [77/100], Step[192/526], Loss: 0.8133
Epoch [77/100], Step[193/526], Loss: 0.5978
Epoch [77/100], Step[194/526], Loss: 0.6303
Epoch [77/100], Step[195/526], Loss: 0.6199
Epoch [77/100], Step[196/526], Loss: 0.7105
Epoch [77/100], Step[197/526], Loss: 0.6283
Epoch [77/100], Step[198/526], Loss: 0.5939
Epoch [77/100], Step[199/526], Loss: 0.7161
Epoch [77/100], Step[200/526], Loss: 0.6437
Epoch [77/100], Step[201/526], Loss: 0.6885
Epoch [77/100], Step[202/526], Loss: 0.8156
Epoch [77/100], Step[203/526], Loss: 0.6560
Epoch [77/100], Step[204/526], Loss: 0.8009
Epoch [77/100], Step[205/526], Loss: 0.7071
Epoch [77/100], Step[206/526], Loss: 0.6946
Epoch [77/100], Step[207/526], Loss: 0.7057
Epoch [77/100], Step[208/526], Loss: 0.6980
Epoch [77/100], Step[209/526], Loss: 0.7054
Epoch [77/100], Step[210/526], Loss: 0.7952
Epoch [77/100], Step[211/526], Loss: 0.6256
Epoch [77/100], Step[212/526], Loss: 0.6997
Epoch [77/100], Step[213/526], Loss: 0.7291
Epoch [77/100], Step[214/526], Loss: 0.7170
Epoch [77/100], Step[215/526], Loss: 0.6944
Epoch [77/100], Step[216/526], Loss: 0.6801
Epoch [77/100], Step[217/526], Loss: 0.6705
Epoch [77/100], Step[218/526], Loss: 0.6976
Epoch [77/100], Step[219/526], Loss: 0.6932
Epoch [77/100], Step[220/526], Loss: 0.7378
Epoch [77/100], Step[221/526], Loss: 0.6939
Epoch [77/100], Step[222/526], Loss: 0.7541
Epoch [77/100], Step[223/526], Loss: 0.6513
Epoch [77/100], Step[224/526], Loss: 0.6613
Epoch [77/100], Step[225/526], Loss: 0.7284
Epoch [77/100], Step[226/526], Loss: 0.6601
Epoch [77/100], Step[227/526], Loss: 0.6643
Epoch [77/100], Step[228/526], Loss: 0.6582
Epoch [77/100], Step[229/526], Loss: 0.6893
Epoch [77/100], Step[230/526], Loss: 0.6596
Epoch [77/100], Step[231/526], Loss: 0.6586
Epoch [77/100], Step[232/526], Loss: 0.6816
Epoch [77/100], Step[233/526], Loss: 0.6796
Epoch [77/100], Step[234/526], Loss: 0.6323
Epoch [77/100], Step[235/526], Loss: 0.7033
Epoch [77/100], Step[236/526], Loss: 0.6936
Epoch [77/100], Step[237/526], Loss: 0.7054
Epoch [77/100], Step[238/526], Loss: 0.6444
Epoch [77/100], Step[239/526], Loss: 0.6486
Epoch [77/100], Step[240/526], Loss: 0.7065
Epoch [77/100], Step[241/526], Loss: 0.6856
Epoch [77/100], Step[242/526], Loss: 0.7111
Epoch [77/100], Step[243/526], Loss: 0.6092
Epoch [77/100], Step[244/526], Loss: 0.5897
Epoch [77/100], Step[245/526], Loss: 0.6095
Epoch [77/100], Step[246/526], Loss: 0.6551
Epoch [77/100], Step[247/526], Loss: 0.5495
Epoch [77/100], Step[248/526], Loss: 0.5875
Epoch [77/100], Step[249/526], Loss: 0.7111
Epoch [77/100], Step[250/526], Loss: 0.6838
Epoch [77/100], Step[251/526], Loss: 0.6620
Epoch [77/100], Step[252/526], Loss: 0.7033
Epoch [77/100], Step[253/526], Loss: 0.6050
Epoch [77/100], Step[254/526], Loss: 0.6434
Epoch [77/100], Step[255/526], Loss: 0.5470
Epoch [77/100], Step[256/526], Loss: 0.6653
Epoch [77/100], Step[257/526], Loss: 0.6575
Epoch [77/100], Step[258/526], Loss: 0.6238
Epoch [77/100], Step[259/526], Loss: 0.7021
Epoch [77/100], Step[260/526], Loss: 0.7799
Epoch [77/100], Step[261/526], Loss: 0.8079
Epoch [77/100], Step[262/526], Loss: 0.6344
Epoch [77/100], Step[263/526], Loss: 0.6672
Epoch [77/100], Step[264/526], Loss: 0.6316
Epoch [77/100], Step[265/526], Loss: 0.5424
Epoch [77/100], Step[266/526], Loss: 0.5395
Epoch [77/100], Step[267/526], Loss: 0.4707
Epoch [77/100], Step[268/526], Loss: 0.5591
Epoch [77/100], Step[269/526], Loss: 0.4281
Epoch [77/100], Step[270/526], Loss: 0.3847
Epoch [77/100], Step[271/526], Loss: 0.5180
Epoch [77/100], Step[272/526], Loss: 0.5168
Epoch [77/100], Step[273/526], Loss: 0.6502
Epoch [77/100], Step[274/526], Loss: 0.4434
Epoch [77/100], Step[275/526], Loss: 0.3782
Epoch [77/100], Step[276/526], Loss: 0.4912
Epoch [77/100], Step[277/526], Loss: 0.3625
Epoch [77/100], Step[278/526], Loss: 0.4495
Epoch [77/100], Step[279/526], Loss: 0.4079
Epoch [77/100], Step[280/526], Loss: 0.4528
Epoch [77/100], Step[281/526], Loss: 0.6648
Epoch [77/100], Step[282/526], Loss: 0.3880
Epoch [77/100], Step[283/526], Loss: 0.3896
Epoch [77/100], Step[284/526], Loss: 0.4180
Epoch [77/100], Step[285/526], Loss: 0.2942
Epoch [77/100], Step[286/526], Loss: 0.7084
Epoch [77/100], Step[287/526], Loss: 0.5183
Epoch [77/100], Step[288/526], Loss: 0.3885
Epoch [77/100], Step[289/526], Loss: 0.5986
Epoch [77/100], Step[290/526], Loss: 0.4275
Epoch [77/100], Step[291/526], Loss: 0.5017
Epoch [77/100], Step[292/526], Loss: 0.2744
Epoch [77/100], Step[293/526], Loss: 0.3127
Epoch [77/100], Step[294/526], Loss: 0.3308
Epoch [77/100], Step[295/526], Loss: 0.4040
Epoch [77/100], Step[296/526], Loss: 0.5899
Epoch [77/100], Step[297/526], Loss: 0.3166
Epoch [77/100], Step[298/526], Loss: 0.2874
Epoch [77/100], Step[299/526], Loss: 0.2177
Epoch [77/100], Step[300/526], Loss: 0.2598
Epoch [77/100], Step[301/526], Loss: 0.6155
Epoch [77/100], Step[302/526], Loss: 0.3534
Epoch [77/100], Step[303/526], Loss: 0.4475
Epoch [77/100], Step[304/526], Loss: 0.2495
Epoch [77/100], Step[305/526], Loss: 0.2496
Epoch [77/100], Step[306/526], Loss: 0.5993
Epoch [77/100], Step[307/526], Loss: 0.9178
Epoch [77/100], Step[308/526], Loss: 1.3417
Epoch [77/100], Step[309/526], Loss: 0.9777
Epoch [77/100], Step[310/526], Loss: 0.9567
Epoch [77/100], Step[311/526], Loss: 0.8367
Epoch [77/100], Step[312/526], Loss: 0.4901
Epoch [77/100], Step[313/526], Loss: 0.4369
Epoch [77/100], Step[314/526], Loss: 0.5880
Epoch [77/100], Step[315/526], Loss: 0.6929
Epoch [77/100], Step[316/526], Loss: 0.5023
Epoch [77/100], Step[317/526], Loss: 0.3290
Epoch [77/100], Step[318/526], Loss: 0.7374
Epoch [77/100], Step[319/526], Loss: 0.3773
Epoch [77/100], Step[320/526], Loss: 0.6190
Epoch [77/100], Step[321/526], Loss: 0.7544
Epoch [77/100], Step[322/526], Loss: 0.2764
Epoch [77/100], Step[323/526], Loss: 0.6056
Epoch [77/100], Step[324/526], Loss: 0.6390
Epoch [77/100], Step[325/526], Loss: 0.5480
Epoch [77/100], Step[326/526], Loss: 0.7603
Epoch [77/100], Step[327/526], Loss: 0.7667
Epoch [77/100], Step[328/526], Loss: 0.9237
Epoch [77/100], Step[329/526], Loss: 1.2731
Epoch [77/100], Step[330/526], Loss: 1.0251
Epoch [77/100], Step[331/526], Loss: 0.8008
Epoch [77/100], Step[332/526], Loss: 0.8600
Epoch [77/100], Step[333/526], Loss: 0.7378
Epoch [77/100], Step[334/526], Loss: 0.7917
Epoch [77/100], Step[335/526], Loss: 0.7527
Epoch [77/100], Step[336/526], Loss: 0.6845
Epoch [77/100], Step[337/526], Loss: 0.5810
Epoch [77/100], Step[338/526], Loss: 0.7193
Epoch [77/100], Step[339/526], Loss: 0.6495
Epoch [77/100], Step[340/526], Loss: 0.7246
Epoch [77/100], Step[341/526], Loss: 0.7291
Epoch [77/100], Step[342/526], Loss: 0.7416
Epoch [77/100], Step[343/526], Loss: 0.5305
Epoch [77/100], Step[344/526], Loss: 0.6965
Epoch [77/100], Step[345/526], Loss: 0.7034
Epoch [77/100], Step[346/526], Loss: 0.6611
Epoch [77/100], Step[347/526], Loss: 0.7198
Epoch [77/100], Step[348/526], Loss: 0.6165
Epoch [77/100], Step[349/526], Loss: 0.5795
Epoch [77/100], Step[350/526], Loss: 0.6535
Epoch [77/100], Step[351/526], Loss: 0.6881
Epoch [77/100], Step[352/526], Loss: 0.6200
Epoch [77/100], Step[353/526], Loss: 0.6683
Epoch [77/100], Step[354/526], Loss: 0.6690
Epoch [77/100], Step[355/526], Loss: 0.6612
Epoch [77/100], Step[356/526], Loss: 0.6934
Epoch [77/100], Step[357/526], Loss: 0.6495
Epoch [77/100], Step[358/526], Loss: 0.7009
Epoch [77/100], Step[359/526], Loss: 0.6349
Epoch [77/100], Step[360/526], Loss: 0.6827
Epoch [77/100], Step[361/526], Loss: 0.7139
Epoch [77/100], Step[362/526], Loss: 0.7011
Epoch [77/100], Step[363/526], Loss: 0.6981
Epoch [77/100], Step[364/526], Loss: 0.7346
Epoch [77/100], Step[365/526], Loss: 0.7257
Epoch [77/100], Step[366/526], Loss: 0.6844
Epoch [77/100], Step[367/526], Loss: 0.6829
Epoch [77/100], Step[368/526], Loss: 0.6513
Epoch [77/100], Step[369/526], Loss: 0.6458
Epoch [77/100], Step[370/526], Loss: 0.5389
Epoch [77/100], Step[371/526], Loss: 0.7438
Epoch [77/100], Step[372/526], Loss: 0.6260
Epoch [77/100], Step[373/526], Loss: 0.6765
Epoch [77/100], Step[374/526], Loss: 0.7045
Epoch [77/100], Step[375/526], Loss: 0.6361
Epoch [77/100], Step[376/526], Loss: 0.6362
Epoch [77/100], Step[377/526], Loss: 0.6933
Epoch [77/100], Step[378/526], Loss: 0.6824
Epoch [77/100], Step[379/526], Loss: 0.7897
Epoch [77/100], Step[380/526], Loss: 0.6035
Epoch [77/100], Step[381/526], Loss: 0.5821
Epoch [77/100], Step[382/526], Loss: 0.6711
Epoch [77/100], Step[383/526], Loss: 0.6932
Epoch [77/100], Step[384/526], Loss: 0.6256
Epoch [77/100], Step[385/526], Loss: 0.6336
Epoch [77/100], Step[386/526], Loss: 0.6557
Epoch [77/100], Step[387/526], Loss: 0.6647
Epoch [77/100], Step[388/526], Loss: 0.5902
Epoch [77/100], Step[389/526], Loss: 0.7339
Epoch [77/100], Step[390/526], Loss: 0.5789
Epoch [77/100], Step[391/526], Loss: 0.6369
Epoch [77/100], Step[392/526], Loss: 0.7180
Epoch [77/100], Step[393/526], Loss: 0.5825
Epoch [77/100], Step[394/526], Loss: 0.5156
Epoch [77/100], Step[395/526], Loss: 0.5857
Epoch [77/100], Step[396/526], Loss: 0.6229
Epoch [77/100], Step[397/526], Loss: 0.4755
Epoch [77/100], Step[398/526], Loss: 0.6066
Epoch [77/100], Step[399/526], Loss: 0.6591
Epoch [77/100], Step[400/526], Loss: 0.4811
Epoch [77/100], Step[401/526], Loss: 0.5996
Epoch [77/100], Step[402/526], Loss: 0.6478
Epoch [77/100], Step[403/526], Loss: 0.7618
Epoch [77/100], Step[404/526], Loss: 0.4764
Epoch [77/100], Step[405/526], Loss: 0.4949
Epoch [77/100], Step[406/526], Loss: 0.6313
Epoch [77/100], Step[407/526], Loss: 0.7644
Epoch [77/100], Step[408/526], Loss: 0.6560
Epoch [77/100], Step[409/526], Loss: 0.4905
Epoch [77/100], Step[410/526], Loss: 0.5044
Epoch [77/100], Step[411/526], Loss: 0.5403
Epoch [77/100], Step[412/526], Loss: 0.5997
Epoch [77/100], Step[413/526], Loss: 0.6091
Epoch [77/100], Step[414/526], Loss: 0.6492
Epoch [77/100], Step[415/526], Loss: 0.5985
Epoch [77/100], Step[416/526], Loss: 0.5733
Epoch [77/100], Step[417/526], Loss: 0.4617
Epoch [77/100], Step[418/526], Loss: 0.7484
Epoch [77/100], Step[419/526], Loss: 0.6834
Epoch [77/100], Step[420/526], Loss: 0.6784
Epoch [77/100], Step[421/526], Loss: 0.6622
Epoch [77/100], Step[422/526], Loss: 0.7478
Epoch [77/100], Step[423/526], Loss: 0.6916
Epoch [77/100], Step[424/526], Loss: 0.7546
Epoch [77/100], Step[425/526], Loss: 0.6982
Epoch [77/100], Step[426/526], Loss: 0.7498
Epoch [77/100], Step[427/526], Loss: 0.7046
Epoch [77/100], Step[428/526], Loss: 0.7127
Epoch [77/100], Step[429/526], Loss: 0.7351
Epoch [77/100], Step[430/526], Loss: 0.7783
Epoch [77/100], Step[431/526], Loss: 0.7076
Epoch [77/100], Step[432/526], Loss: 0.7242
Epoch [77/100], Step[433/526], Loss: 0.6690
Epoch [77/100], Step[434/526], Loss: 0.6024
Epoch [77/100], Step[435/526], Loss: 0.7644
Epoch [77/100], Step[436/526], Loss: 0.8034
Epoch [77/100], Step[437/526], Loss: 0.4952
Epoch [77/100], Step[438/526], Loss: 0.3763
Epoch [77/100], Step[439/526], Loss: 0.7219
Epoch [77/100], Step[440/526], Loss: 0.6816
Epoch [77/100], Step[441/526], Loss: 0.6984
Epoch [77/100], Step[442/526], Loss: 0.6487
Epoch [77/100], Step[443/526], Loss: 0.6710
Epoch [77/100], Step[444/526], Loss: 0.7562
Epoch [77/100], Step[445/526], Loss: 0.7095
Epoch [77/100], Step[446/526], Loss: 0.7034
Epoch [77/100], Step[447/526], Loss: 0.7259
Epoch [77/100], Step[448/526], Loss: 0.7150
Epoch [77/100], Step[449/526], Loss: 0.6714
Epoch [77/100], Step[450/526], Loss: 0.5999
Epoch [77/100], Step[451/526], Loss: 0.6691
Epoch [77/100], Step[452/526], Loss: 0.7320
Epoch [77/100], Step[453/526], Loss: 0.7085
Epoch [77/100], Step[454/526], Loss: 0.8413
Epoch [77/100], Step[455/526], Loss: 0.6400
Epoch [77/100], Step[456/526], Loss: 0.6305
Epoch [77/100], Step[457/526], Loss: 0.6981
Epoch [77/100], Step[458/526], Loss: 0.6872
Epoch [77/100], Step[459/526], Loss: 0.6591
Epoch [77/100], Step[460/526], Loss: 0.6314
Epoch [77/100], Step[461/526], Loss: 0.5974
Epoch [77/100], Step[462/526], Loss: 0.6523
Epoch [77/100], Step[463/526], Loss: 0.6472
Epoch [77/100], Step[464/526], Loss: 0.6182
Epoch [77/100], Step[465/526], Loss: 0.6447
Epoch [77/100], Step[466/526], Loss: 0.6618
Epoch [77/100], Step[467/526], Loss: 0.6499
Epoch [77/100], Step[468/526], Loss: 0.5961
Epoch [77/100], Step[469/526], Loss: 0.8333
Epoch [77/100], Step[470/526], Loss: 0.6641
Epoch [77/100], Step[471/526], Loss: 0.6911
Epoch [77/100], Step[472/526], Loss: 0.6814
Epoch [77/100], Step[473/526], Loss: 0.6775
Epoch [77/100], Step[474/526], Loss: 0.6758
Epoch [77/100], Step[475/526], Loss: 0.8474
Epoch [77/100], Step[476/526], Loss: 0.7392
Epoch [77/100], Step[477/526], Loss: 0.6971
Epoch [77/100], Step[478/526], Loss: 0.6798
Epoch [77/100], Step[479/526], Loss: 0.6619
Epoch [77/100], Step[480/526], Loss: 0.7418
Epoch [77/100], Step[481/526], Loss: 0.7323
Epoch [77/100], Step[482/526], Loss: 0.6257
Epoch [77/100], Step[483/526], Loss: 0.5267
Epoch [77/100], Step[484/526], Loss: 0.7180
Epoch [77/100], Step[485/526], Loss: 0.7653
Epoch [77/100], Step[486/526], Loss: 0.7364
Epoch [77/100], Step[487/526], Loss: 0.7373
Epoch [77/100], Step[488/526], Loss: 0.6835
Epoch [77/100], Step[489/526], Loss: 0.6103
Epoch [77/100], Step[490/526], Loss: 0.6002
Epoch [77/100], Step[491/526], Loss: 0.6795
Epoch [77/100], Step[492/526], Loss: 0.6458
Epoch [77/100], Step[493/526], Loss: 0.6303
Epoch [77/100], Step[494/526], Loss: 0.6712
Epoch [77/100], Step[495/526], Loss: 0.6870
Epoch [77/100], Step[496/526], Loss: 0.6546
Epoch [77/100], Step[497/526], Loss: 0.6231
Epoch [77/100], Step[498/526], Loss: 0.6692
Epoch [77/100], Step[499/526], Loss: 0.6672
Epoch [77/100], Step[500/526], Loss: 0.7123
Epoch [77/100], Step[501/526], Loss: 0.6543
Epoch [77/100], Step[502/526], Loss: 0.6997
Epoch [77/100], Step[503/526], Loss: 0.7134
Epoch [77/100], Step[504/526], Loss: 0.7093
Epoch [77/100], Step[505/526], Loss: 0.7156
Epoch [77/100], Step[506/526], Loss: 0.6543
Epoch [77/100], Step[507/526], Loss: 0.6740
Epoch [77/100], Step[508/526], Loss: 0.7000
Epoch [77/100], Step[509/526], Loss: 0.6335
Epoch [77/100], Step[510/526], Loss: 0.7028
Epoch [77/100], Step[511/526], Loss: 0.6364
Epoch [77/100], Step[512/526], Loss: 0.6633
Epoch [77/100], Step[513/526], Loss: 0.6482
Epoch [77/100], Step[514/526], Loss: 0.6550
Epoch [77/100], Step[515/526], Loss: 0.6192
Epoch [77/100], Step[516/526], Loss: 0.7544
Epoch [77/100], Step[517/526], Loss: 0.6954
Epoch [77/100], Step[518/526], Loss: 0.7338
Epoch [77/100], Step[519/526], Loss: 0.7220
Epoch [77/100], Step[520/526], Loss: 0.6909
Epoch [77/100], Step[521/526], Loss: 0.6575
Epoch [77/100], Step[522/526], Loss: 0.5839
Epoch [77/100], Step[523/526], Loss: 0.6438
Epoch [77/100], Step[524/526], Loss: 0.6266
Epoch [77/100], Step[525/526], Loss: 0.7641
Epoch [77/100], Step[526/526], Loss: 0.7156
Epoch [78/100], Step[1/526], Loss: 0.6558
Epoch [78/100], Step[2/526], Loss: 0.6415
Epoch [78/100], Step[3/526], Loss: 0.6713
Epoch [78/100], Step[4/526], Loss: 0.6313
Epoch [78/100], Step[5/526], Loss: 0.7535
Epoch [78/100], Step[6/526], Loss: 0.7580
Epoch [78/100], Step[7/526], Loss: 0.6921
Epoch [78/100], Step[8/526], Loss: 0.6764
Epoch [78/100], Step[9/526], Loss: 0.6996
Epoch [78/100], Step[10/526], Loss: 0.6510
Epoch [78/100], Step[11/526], Loss: 0.6975
Epoch [78/100], Step[12/526], Loss: 0.7465
Epoch [78/100], Step[13/526], Loss: 0.5977
Epoch [78/100], Step[14/526], Loss: 0.6419
Epoch [78/100], Step[15/526], Loss: 0.6804
Epoch [78/100], Step[16/526], Loss: 0.7270
Epoch [78/100], Step[17/526], Loss: 0.7299
Epoch [78/100], Step[18/526], Loss: 0.6207
Epoch [78/100], Step[19/526], Loss: 0.6505
Epoch [78/100], Step[20/526], Loss: 0.7768
Epoch [78/100], Step[21/526], Loss: 0.7808
Epoch [78/100], Step[22/526], Loss: 0.7690
Epoch [78/100], Step[23/526], Loss: 0.7522
Epoch [78/100], Step[24/526], Loss: 0.7180
Epoch [78/100], Step[25/526], Loss: 0.6988
Epoch [78/100], Step[26/526], Loss: 0.6089
Epoch [78/100], Step[27/526], Loss: 0.6727
Epoch [78/100], Step[28/526], Loss: 0.6825
Epoch [78/100], Step[29/526], Loss: 0.6439
Epoch [78/100], Step[30/526], Loss: 0.6793
Epoch [78/100], Step[31/526], Loss: 0.6972
Epoch [78/100], Step[32/526], Loss: 0.6433
Epoch [78/100], Step[33/526], Loss: 0.7146
Epoch [78/100], Step[34/526], Loss: 0.7064
Epoch [78/100], Step[35/526], Loss: 0.7233
Epoch [78/100], Step[36/526], Loss: 0.7224
Epoch [78/100], Step[37/526], Loss: 0.6880
Epoch [78/100], Step[38/526], Loss: 0.7069
Epoch [78/100], Step[39/526], Loss: 0.6870
Epoch [78/100], Step[40/526], Loss: 0.7081
Epoch [78/100], Step[41/526], Loss: 0.6686
Epoch [78/100], Step[42/526], Loss: 0.7307
Epoch [78/100], Step[43/526], Loss: 0.7108
Epoch [78/100], Step[44/526], Loss: 0.6924
Epoch [78/100], Step[45/526], Loss: 0.6961
Epoch [78/100], Step[46/526], Loss: 0.6982
Epoch [78/100], Step[47/526], Loss: 0.7040
Epoch [78/100], Step[48/526], Loss: 0.7300
Epoch [78/100], Step[49/526], Loss: 0.6967
Epoch [78/100], Step[50/526], Loss: 0.7032
Epoch [78/100], Step[51/526], Loss: 0.6952
Epoch [78/100], Step[52/526], Loss: 0.6711
Epoch [78/100], Step[53/526], Loss: 0.7216
Epoch [78/100], Step[54/526], Loss: 0.7024
Epoch [78/100], Step[55/526], Loss: 0.6960
Epoch [78/100], Step[56/526], Loss: 0.6878
Epoch [78/100], Step[57/526], Loss: 0.6860
Epoch [78/100], Step[58/526], Loss: 0.6698
Epoch [78/100], Step[59/526], Loss: 0.6479
Epoch [78/100], Step[60/526], Loss: 0.6624
Epoch [78/100], Step[61/526], Loss: 0.6589
Epoch [78/100], Step[62/526], Loss: 0.7003
Epoch [78/100], Step[63/526], Loss: 0.6918
Epoch [78/100], Step[64/526], Loss: 0.6755
Epoch [78/100], Step[65/526], Loss: 0.7160
Epoch [78/100], Step[66/526], Loss: 0.6801
Epoch [78/100], Step[67/526], Loss: 0.6361
Epoch [78/100], Step[68/526], Loss: 0.6507
Epoch [78/100], Step[69/526], Loss: 0.6915
Epoch [78/100], Step[70/526], Loss: 0.6895
Epoch [78/100], Step[71/526], Loss: 0.6698
Epoch [78/100], Step[72/526], Loss: 0.6770
Epoch [78/100], Step[73/526], Loss: 0.7187
Epoch [78/100], Step[74/526], Loss: 0.6564
Epoch [78/100], Step[75/526], Loss: 0.7073
Epoch [78/100], Step[76/526], Loss: 0.6833
Epoch [78/100], Step[77/526], Loss: 0.7043
Epoch [78/100], Step[78/526], Loss: 0.7134
Epoch [78/100], Step[79/526], Loss: 0.6854
Epoch [78/100], Step[80/526], Loss: 0.6968
Epoch [78/100], Step[81/526], Loss: 0.6883
Epoch [78/100], Step[82/526], Loss: 0.7223
Epoch [78/100], Step[83/526], Loss: 0.6976
Epoch [78/100], Step[84/526], Loss: 0.6738
Epoch [78/100], Step[85/526], Loss: 0.6466
Epoch [78/100], Step[86/526], Loss: 0.6857
Epoch [78/100], Step[87/526], Loss: 0.6880
Epoch [78/100], Step[88/526], Loss: 0.6943
Epoch [78/100], Step[89/526], Loss: 0.7263
Epoch [78/100], Step[90/526], Loss: 0.6901
Epoch [78/100], Step[91/526], Loss: 0.6797
Epoch [78/100], Step[92/526], Loss: 0.6715
Epoch [78/100], Step[93/526], Loss: 0.6841
Epoch [78/100], Step[94/526], Loss: 0.8010
Epoch [78/100], Step[95/526], Loss: 0.7127
Epoch [78/100], Step[96/526], Loss: 0.6094
Epoch [78/100], Step[97/526], Loss: 0.5896
Epoch [78/100], Step[98/526], Loss: 0.6887
Epoch [78/100], Step[99/526], Loss: 0.6813
Epoch [78/100], Step[100/526], Loss: 0.6579
Epoch [78/100], Step[101/526], Loss: 0.6564
Epoch [78/100], Step[102/526], Loss: 0.6276
Epoch [78/100], Step[103/526], Loss: 0.7084
Epoch [78/100], Step[104/526], Loss: 0.6545
Epoch [78/100], Step[105/526], Loss: 0.6235
Epoch [78/100], Step[106/526], Loss: 0.6834
Epoch [78/100], Step[107/526], Loss: 0.6165
Epoch [78/100], Step[108/526], Loss: 0.5811
Epoch [78/100], Step[109/526], Loss: 0.6657
Epoch [78/100], Step[110/526], Loss: 0.6859
Epoch [78/100], Step[111/526], Loss: 0.5978
Epoch [78/100], Step[112/526], Loss: 0.7373
Epoch [78/100], Step[113/526], Loss: 0.6076
Epoch [78/100], Step[114/526], Loss: 0.6588
Epoch [78/100], Step[115/526], Loss: 0.5920
Epoch [78/100], Step[116/526], Loss: 0.6311
Epoch [78/100], Step[117/526], Loss: 0.6821
Epoch [78/100], Step[118/526], Loss: 0.7532
Epoch [78/100], Step[119/526], Loss: 0.6780
Epoch [78/100], Step[120/526], Loss: 0.6731
Epoch [78/100], Step[121/526], Loss: 0.6933
Epoch [78/100], Step[122/526], Loss: 0.6235
Epoch [78/100], Step[123/526], Loss: 0.6506
Epoch [78/100], Step[124/526], Loss: 0.6688
Epoch [78/100], Step[125/526], Loss: 0.6381
Epoch [78/100], Step[126/526], Loss: 0.7123
Epoch [78/100], Step[127/526], Loss: 0.6650
Epoch [78/100], Step[128/526], Loss: 0.6347
Epoch [78/100], Step[129/526], Loss: 0.6032
Epoch [78/100], Step[130/526], Loss: 0.6490
Epoch [78/100], Step[131/526], Loss: 0.6647
Epoch [78/100], Step[132/526], Loss: 0.6951
Epoch [78/100], Step[133/526], Loss: 0.6719
Epoch [78/100], Step[134/526], Loss: 0.6268
Epoch [78/100], Step[135/526], Loss: 0.6419
Epoch [78/100], Step[136/526], Loss: 0.5623
Epoch [78/100], Step[137/526], Loss: 0.6302
Epoch [78/100], Step[138/526], Loss: 0.6372
Epoch [78/100], Step[139/526], Loss: 0.6861
Epoch [78/100], Step[140/526], Loss: 0.5923
Epoch [78/100], Step[141/526], Loss: 0.6723
Epoch [78/100], Step[142/526], Loss: 0.6710
Epoch [78/100], Step[143/526], Loss: 0.6854
Epoch [78/100], Step[144/526], Loss: 0.8095
Epoch [78/100], Step[145/526], Loss: 0.6034
Epoch [78/100], Step[146/526], Loss: 0.4843
Epoch [78/100], Step[147/526], Loss: 0.5022
Epoch [78/100], Step[148/526], Loss: 0.5928
Epoch [78/100], Step[149/526], Loss: 0.4646
Epoch [78/100], Step[150/526], Loss: 0.5509
Epoch [78/100], Step[151/526], Loss: 0.5421
Epoch [78/100], Step[152/526], Loss: 0.6327
Epoch [78/100], Step[153/526], Loss: 0.6422
Epoch [78/100], Step[154/526], Loss: 0.6771
Epoch [78/100], Step[155/526], Loss: 0.6848
Epoch [78/100], Step[156/526], Loss: 0.5631
Epoch [78/100], Step[157/526], Loss: 0.2820
Epoch [78/100], Step[158/526], Loss: 0.6034
Epoch [78/100], Step[159/526], Loss: 0.6278
Epoch [78/100], Step[160/526], Loss: 0.5581
Epoch [78/100], Step[161/526], Loss: 0.8147
Epoch [78/100], Step[162/526], Loss: 0.7176
Epoch [78/100], Step[163/526], Loss: 0.7043
Epoch [78/100], Step[164/526], Loss: 0.6154
Epoch [78/100], Step[165/526], Loss: 0.7129
Epoch [78/100], Step[166/526], Loss: 0.5299
Epoch [78/100], Step[167/526], Loss: 0.5543
Epoch [78/100], Step[168/526], Loss: 0.6944
Epoch [78/100], Step[169/526], Loss: 0.7198
Epoch [78/100], Step[170/526], Loss: 0.7262
Epoch [78/100], Step[171/526], Loss: 0.7250
Epoch [78/100], Step[172/526], Loss: 0.7253
Epoch [78/100], Step[173/526], Loss: 0.8134
Epoch [78/100], Step[174/526], Loss: 0.6283
Epoch [78/100], Step[175/526], Loss: 0.6448
Epoch [78/100], Step[176/526], Loss: 0.6620
Epoch [78/100], Step[177/526], Loss: 0.6706
Epoch [78/100], Step[178/526], Loss: 0.6944
Epoch [78/100], Step[179/526], Loss: 0.6226
Epoch [78/100], Step[180/526], Loss: 0.6404
Epoch [78/100], Step[181/526], Loss: 0.6596
Epoch [78/100], Step[182/526], Loss: 0.6750
Epoch [78/100], Step[183/526], Loss: 0.5497
Epoch [78/100], Step[184/526], Loss: 0.5497
Epoch [78/100], Step[185/526], Loss: 0.5801
Epoch [78/100], Step[186/526], Loss: 0.6206
Epoch [78/100], Step[187/526], Loss: 0.7603
Epoch [78/100], Step[188/526], Loss: 0.7615
Epoch [78/100], Step[189/526], Loss: 0.6750
Epoch [78/100], Step[190/526], Loss: 0.6895
Epoch [78/100], Step[191/526], Loss: 0.7272
Epoch [78/100], Step[192/526], Loss: 0.8466
Epoch [78/100], Step[193/526], Loss: 0.5914
Epoch [78/100], Step[194/526], Loss: 0.6395
Epoch [78/100], Step[195/526], Loss: 0.6196
Epoch [78/100], Step[196/526], Loss: 0.7105
Epoch [78/100], Step[197/526], Loss: 0.6303
Epoch [78/100], Step[198/526], Loss: 0.5924
Epoch [78/100], Step[199/526], Loss: 0.7178
Epoch [78/100], Step[200/526], Loss: 0.6440
Epoch [78/100], Step[201/526], Loss: 0.6919
Epoch [78/100], Step[202/526], Loss: 0.8346
Epoch [78/100], Step[203/526], Loss: 0.6540
Epoch [78/100], Step[204/526], Loss: 0.8025
Epoch [78/100], Step[205/526], Loss: 0.7055
Epoch [78/100], Step[206/526], Loss: 0.6947
Epoch [78/100], Step[207/526], Loss: 0.7053
Epoch [78/100], Step[208/526], Loss: 0.7000
Epoch [78/100], Step[209/526], Loss: 0.7089
Epoch [78/100], Step[210/526], Loss: 0.7898
Epoch [78/100], Step[211/526], Loss: 0.6253
Epoch [78/100], Step[212/526], Loss: 0.7021
Epoch [78/100], Step[213/526], Loss: 0.7306
Epoch [78/100], Step[214/526], Loss: 0.7102
Epoch [78/100], Step[215/526], Loss: 0.6984
Epoch [78/100], Step[216/526], Loss: 0.6818
Epoch [78/100], Step[217/526], Loss: 0.6699
Epoch [78/100], Step[218/526], Loss: 0.6971
Epoch [78/100], Step[219/526], Loss: 0.6927
Epoch [78/100], Step[220/526], Loss: 0.7357
Epoch [78/100], Step[221/526], Loss: 0.6923
Epoch [78/100], Step[222/526], Loss: 0.7462
Epoch [78/100], Step[223/526], Loss: 0.6448
Epoch [78/100], Step[224/526], Loss: 0.6604
Epoch [78/100], Step[225/526], Loss: 0.7190
Epoch [78/100], Step[226/526], Loss: 0.6552
Epoch [78/100], Step[227/526], Loss: 0.6675
Epoch [78/100], Step[228/526], Loss: 0.6680
Epoch [78/100], Step[229/526], Loss: 0.6974
Epoch [78/100], Step[230/526], Loss: 0.6587
Epoch [78/100], Step[231/526], Loss: 0.6522
Epoch [78/100], Step[232/526], Loss: 0.6609
Epoch [78/100], Step[233/526], Loss: 0.6840
Epoch [78/100], Step[234/526], Loss: 0.6215
Epoch [78/100], Step[235/526], Loss: 0.7087
Epoch [78/100], Step[236/526], Loss: 0.6941
Epoch [78/100], Step[237/526], Loss: 0.7051
Epoch [78/100], Step[238/526], Loss: 0.6249
Epoch [78/100], Step[239/526], Loss: 0.6476
Epoch [78/100], Step[240/526], Loss: 0.7009
Epoch [78/100], Step[241/526], Loss: 0.6750
Epoch [78/100], Step[242/526], Loss: 0.7053
Epoch [78/100], Step[243/526], Loss: 0.6106
Epoch [78/100], Step[244/526], Loss: 0.5878
Epoch [78/100], Step[245/526], Loss: 0.6084
Epoch [78/100], Step[246/526], Loss: 0.6622
Epoch [78/100], Step[247/526], Loss: 0.5444
Epoch [78/100], Step[248/526], Loss: 0.5751
Epoch [78/100], Step[249/526], Loss: 0.7228
Epoch [78/100], Step[250/526], Loss: 0.6870
Epoch [78/100], Step[251/526], Loss: 0.6570
Epoch [78/100], Step[252/526], Loss: 0.7054
Epoch [78/100], Step[253/526], Loss: 0.6106
Epoch [78/100], Step[254/526], Loss: 0.6429
Epoch [78/100], Step[255/526], Loss: 0.5510
Epoch [78/100], Step[256/526], Loss: 0.6630
Epoch [78/100], Step[257/526], Loss: 0.6596
Epoch [78/100], Step[258/526], Loss: 0.6219
Epoch [78/100], Step[259/526], Loss: 0.7042
Epoch [78/100], Step[260/526], Loss: 0.7793
Epoch [78/100], Step[261/526], Loss: 0.7974
Epoch [78/100], Step[262/526], Loss: 0.6285
Epoch [78/100], Step[263/526], Loss: 0.6694
Epoch [78/100], Step[264/526], Loss: 0.6361
Epoch [78/100], Step[265/526], Loss: 0.5315
Epoch [78/100], Step[266/526], Loss: 0.5301
Epoch [78/100], Step[267/526], Loss: 0.4629
Epoch [78/100], Step[268/526], Loss: 0.5630
Epoch [78/100], Step[269/526], Loss: 0.4339
Epoch [78/100], Step[270/526], Loss: 0.3920
Epoch [78/100], Step[271/526], Loss: 0.5222
Epoch [78/100], Step[272/526], Loss: 0.5213
Epoch [78/100], Step[273/526], Loss: 0.6540
Epoch [78/100], Step[274/526], Loss: 0.4445
Epoch [78/100], Step[275/526], Loss: 0.3792
Epoch [78/100], Step[276/526], Loss: 0.4948
Epoch [78/100], Step[277/526], Loss: 0.3649
Epoch [78/100], Step[278/526], Loss: 0.4520
Epoch [78/100], Step[279/526], Loss: 0.4131
Epoch [78/100], Step[280/526], Loss: 0.4562
Epoch [78/100], Step[281/526], Loss: 0.6642
Epoch [78/100], Step[282/526], Loss: 0.3941
Epoch [78/100], Step[283/526], Loss: 0.3852
Epoch [78/100], Step[284/526], Loss: 0.4234
Epoch [78/100], Step[285/526], Loss: 0.2991
Epoch [78/100], Step[286/526], Loss: 0.7114
Epoch [78/100], Step[287/526], Loss: 0.5178
Epoch [78/100], Step[288/526], Loss: 0.3889
Epoch [78/100], Step[289/526], Loss: 0.6034
Epoch [78/100], Step[290/526], Loss: 0.4321
Epoch [78/100], Step[291/526], Loss: 0.4954
Epoch [78/100], Step[292/526], Loss: 0.2763
Epoch [78/100], Step[293/526], Loss: 0.3105
Epoch [78/100], Step[294/526], Loss: 0.3301
Epoch [78/100], Step[295/526], Loss: 0.4056
Epoch [78/100], Step[296/526], Loss: 0.5933
Epoch [78/100], Step[297/526], Loss: 0.3194
Epoch [78/100], Step[298/526], Loss: 0.2819
Epoch [78/100], Step[299/526], Loss: 0.2252
Epoch [78/100], Step[300/526], Loss: 0.2640
Epoch [78/100], Step[301/526], Loss: 0.6146
Epoch [78/100], Step[302/526], Loss: 0.3531
Epoch [78/100], Step[303/526], Loss: 0.4437
Epoch [78/100], Step[304/526], Loss: 0.2551
Epoch [78/100], Step[305/526], Loss: 0.2484
Epoch [78/100], Step[306/526], Loss: 0.5935
Epoch [78/100], Step[307/526], Loss: 0.9123
Epoch [78/100], Step[308/526], Loss: 1.3291
Epoch [78/100], Step[309/526], Loss: 0.9789
Epoch [78/100], Step[310/526], Loss: 0.9577
Epoch [78/100], Step[311/526], Loss: 0.8349
Epoch [78/100], Step[312/526], Loss: 0.4912
Epoch [78/100], Step[313/526], Loss: 0.4314
Epoch [78/100], Step[314/526], Loss: 0.5918
Epoch [78/100], Step[315/526], Loss: 0.7035
Epoch [78/100], Step[316/526], Loss: 0.5017
Epoch [78/100], Step[317/526], Loss: 0.3298
Epoch [78/100], Step[318/526], Loss: 0.7452
Epoch [78/100], Step[319/526], Loss: 0.3766
Epoch [78/100], Step[320/526], Loss: 0.6199
Epoch [78/100], Step[321/526], Loss: 0.7492
Epoch [78/100], Step[322/526], Loss: 0.2733
Epoch [78/100], Step[323/526], Loss: 0.6051
Epoch [78/100], Step[324/526], Loss: 0.6415
Epoch [78/100], Step[325/526], Loss: 0.5419
Epoch [78/100], Step[326/526], Loss: 0.7673
Epoch [78/100], Step[327/526], Loss: 0.7729
Epoch [78/100], Step[328/526], Loss: 0.9238
Epoch [78/100], Step[329/526], Loss: 1.2753
Epoch [78/100], Step[330/526], Loss: 1.0345
Epoch [78/100], Step[331/526], Loss: 0.8061
Epoch [78/100], Step[332/526], Loss: 0.8807
Epoch [78/100], Step[333/526], Loss: 0.7425
Epoch [78/100], Step[334/526], Loss: 0.8078
Epoch [78/100], Step[335/526], Loss: 0.7495
Epoch [78/100], Step[336/526], Loss: 0.6873
Epoch [78/100], Step[337/526], Loss: 0.5799
Epoch [78/100], Step[338/526], Loss: 0.7220
Epoch [78/100], Step[339/526], Loss: 0.6531
Epoch [78/100], Step[340/526], Loss: 0.7263
Epoch [78/100], Step[341/526], Loss: 0.7263
Epoch [78/100], Step[342/526], Loss: 0.7428
Epoch [78/100], Step[343/526], Loss: 0.5290
Epoch [78/100], Step[344/526], Loss: 0.6933
Epoch [78/100], Step[345/526], Loss: 0.7109
Epoch [78/100], Step[346/526], Loss: 0.6588
Epoch [78/100], Step[347/526], Loss: 0.7188
Epoch [78/100], Step[348/526], Loss: 0.6178
Epoch [78/100], Step[349/526], Loss: 0.5795
Epoch [78/100], Step[350/526], Loss: 0.6495
Epoch [78/100], Step[351/526], Loss: 0.6872
Epoch [78/100], Step[352/526], Loss: 0.6221
Epoch [78/100], Step[353/526], Loss: 0.6669
Epoch [78/100], Step[354/526], Loss: 0.6723
Epoch [78/100], Step[355/526], Loss: 0.6620
Epoch [78/100], Step[356/526], Loss: 0.6936
Epoch [78/100], Step[357/526], Loss: 0.6472
Epoch [78/100], Step[358/526], Loss: 0.7069
Epoch [78/100], Step[359/526], Loss: 0.6349
Epoch [78/100], Step[360/526], Loss: 0.6816
Epoch [78/100], Step[361/526], Loss: 0.7130
Epoch [78/100], Step[362/526], Loss: 0.6992
Epoch [78/100], Step[363/526], Loss: 0.6985
Epoch [78/100], Step[364/526], Loss: 0.7335
Epoch [78/100], Step[365/526], Loss: 0.7295
Epoch [78/100], Step[366/526], Loss: 0.6839
Epoch [78/100], Step[367/526], Loss: 0.6824
Epoch [78/100], Step[368/526], Loss: 0.6538
Epoch [78/100], Step[369/526], Loss: 0.6443
Epoch [78/100], Step[370/526], Loss: 0.5390
Epoch [78/100], Step[371/526], Loss: 0.7395
Epoch [78/100], Step[372/526], Loss: 0.6278
Epoch [78/100], Step[373/526], Loss: 0.6762
Epoch [78/100], Step[374/526], Loss: 0.7036
Epoch [78/100], Step[375/526], Loss: 0.6331
Epoch [78/100], Step[376/526], Loss: 0.6298
Epoch [78/100], Step[377/526], Loss: 0.6927
Epoch [78/100], Step[378/526], Loss: 0.6809
Epoch [78/100], Step[379/526], Loss: 0.7942
Epoch [78/100], Step[380/526], Loss: 0.6043
Epoch [78/100], Step[381/526], Loss: 0.5817
Epoch [78/100], Step[382/526], Loss: 0.6705
Epoch [78/100], Step[383/526], Loss: 0.6902
Epoch [78/100], Step[384/526], Loss: 0.6264
Epoch [78/100], Step[385/526], Loss: 0.6363
Epoch [78/100], Step[386/526], Loss: 0.6491
Epoch [78/100], Step[387/526], Loss: 0.6631
Epoch [78/100], Step[388/526], Loss: 0.5867
Epoch [78/100], Step[389/526], Loss: 0.7404
Epoch [78/100], Step[390/526], Loss: 0.5760
Epoch [78/100], Step[391/526], Loss: 0.6318
Epoch [78/100], Step[392/526], Loss: 0.7215
Epoch [78/100], Step[393/526], Loss: 0.5830
Epoch [78/100], Step[394/526], Loss: 0.5169
Epoch [78/100], Step[395/526], Loss: 0.5917
Epoch [78/100], Step[396/526], Loss: 0.6229
Epoch [78/100], Step[397/526], Loss: 0.4798
Epoch [78/100], Step[398/526], Loss: 0.6097
Epoch [78/100], Step[399/526], Loss: 0.6616
Epoch [78/100], Step[400/526], Loss: 0.4839
Epoch [78/100], Step[401/526], Loss: 0.5985
Epoch [78/100], Step[402/526], Loss: 0.6478
Epoch [78/100], Step[403/526], Loss: 0.7636
Epoch [78/100], Step[404/526], Loss: 0.4768
Epoch [78/100], Step[405/526], Loss: 0.4950
Epoch [78/100], Step[406/526], Loss: 0.6327
Epoch [78/100], Step[407/526], Loss: 0.7638
Epoch [78/100], Step[408/526], Loss: 0.6598
Epoch [78/100], Step[409/526], Loss: 0.4858
Epoch [78/100], Step[410/526], Loss: 0.5087
Epoch [78/100], Step[411/526], Loss: 0.5421
Epoch [78/100], Step[412/526], Loss: 0.6016
Epoch [78/100], Step[413/526], Loss: 0.6120
Epoch [78/100], Step[414/526], Loss: 0.6478
Epoch [78/100], Step[415/526], Loss: 0.5978
Epoch [78/100], Step[416/526], Loss: 0.5779
Epoch [78/100], Step[417/526], Loss: 0.4683
Epoch [78/100], Step[418/526], Loss: 0.7532
Epoch [78/100], Step[419/526], Loss: 0.6814
Epoch [78/100], Step[420/526], Loss: 0.6760
Epoch [78/100], Step[421/526], Loss: 0.6638
Epoch [78/100], Step[422/526], Loss: 0.7457
Epoch [78/100], Step[423/526], Loss: 0.6944
Epoch [78/100], Step[424/526], Loss: 0.7565
Epoch [78/100], Step[425/526], Loss: 0.7005
Epoch [78/100], Step[426/526], Loss: 0.7478
Epoch [78/100], Step[427/526], Loss: 0.7045
Epoch [78/100], Step[428/526], Loss: 0.7107
Epoch [78/100], Step[429/526], Loss: 0.7392
Epoch [78/100], Step[430/526], Loss: 0.7753
Epoch [78/100], Step[431/526], Loss: 0.7059
Epoch [78/100], Step[432/526], Loss: 0.7204
Epoch [78/100], Step[433/526], Loss: 0.6703
Epoch [78/100], Step[434/526], Loss: 0.6034
Epoch [78/100], Step[435/526], Loss: 0.7598
Epoch [78/100], Step[436/526], Loss: 0.8015
Epoch [78/100], Step[437/526], Loss: 0.4963
Epoch [78/100], Step[438/526], Loss: 0.3801
Epoch [78/100], Step[439/526], Loss: 0.7193
Epoch [78/100], Step[440/526], Loss: 0.6846
Epoch [78/100], Step[441/526], Loss: 0.6928
Epoch [78/100], Step[442/526], Loss: 0.6526
Epoch [78/100], Step[443/526], Loss: 0.6707
Epoch [78/100], Step[444/526], Loss: 0.7559
Epoch [78/100], Step[445/526], Loss: 0.7126
Epoch [78/100], Step[446/526], Loss: 0.6997
Epoch [78/100], Step[447/526], Loss: 0.7276
Epoch [78/100], Step[448/526], Loss: 0.7152
Epoch [78/100], Step[449/526], Loss: 0.6698
Epoch [78/100], Step[450/526], Loss: 0.5994
Epoch [78/100], Step[451/526], Loss: 0.6715
Epoch [78/100], Step[452/526], Loss: 0.7308
Epoch [78/100], Step[453/526], Loss: 0.7036
Epoch [78/100], Step[454/526], Loss: 0.8426
Epoch [78/100], Step[455/526], Loss: 0.6336
Epoch [78/100], Step[456/526], Loss: 0.6361
Epoch [78/100], Step[457/526], Loss: 0.6970
Epoch [78/100], Step[458/526], Loss: 0.6923
Epoch [78/100], Step[459/526], Loss: 0.6577
Epoch [78/100], Step[460/526], Loss: 0.6307
Epoch [78/100], Step[461/526], Loss: 0.5948
Epoch [78/100], Step[462/526], Loss: 0.6515
Epoch [78/100], Step[463/526], Loss: 0.6460
Epoch [78/100], Step[464/526], Loss: 0.6171
Epoch [78/100], Step[465/526], Loss: 0.6438
Epoch [78/100], Step[466/526], Loss: 0.6612
Epoch [78/100], Step[467/526], Loss: 0.6487
Epoch [78/100], Step[468/526], Loss: 0.5927
Epoch [78/100], Step[469/526], Loss: 0.8349
Epoch [78/100], Step[470/526], Loss: 0.6643
Epoch [78/100], Step[471/526], Loss: 0.6974
Epoch [78/100], Step[472/526], Loss: 0.6826
Epoch [78/100], Step[473/526], Loss: 0.6814
Epoch [78/100], Step[474/526], Loss: 0.6746
Epoch [78/100], Step[475/526], Loss: 0.8492
Epoch [78/100], Step[476/526], Loss: 0.7362
Epoch [78/100], Step[477/526], Loss: 0.6921
Epoch [78/100], Step[478/526], Loss: 0.6770
Epoch [78/100], Step[479/526], Loss: 0.6605
Epoch [78/100], Step[480/526], Loss: 0.7377
Epoch [78/100], Step[481/526], Loss: 0.7365
Epoch [78/100], Step[482/526], Loss: 0.6372
Epoch [78/100], Step[483/526], Loss: 0.5317
Epoch [78/100], Step[484/526], Loss: 0.7181
Epoch [78/100], Step[485/526], Loss: 0.7584
Epoch [78/100], Step[486/526], Loss: 0.7408
Epoch [78/100], Step[487/526], Loss: 0.7407
Epoch [78/100], Step[488/526], Loss: 0.6809
Epoch [78/100], Step[489/526], Loss: 0.6123
Epoch [78/100], Step[490/526], Loss: 0.6037
Epoch [78/100], Step[491/526], Loss: 0.6851
Epoch [78/100], Step[492/526], Loss: 0.6416
Epoch [78/100], Step[493/526], Loss: 0.6321
Epoch [78/100], Step[494/526], Loss: 0.6757
Epoch [78/100], Step[495/526], Loss: 0.6922
Epoch [78/100], Step[496/526], Loss: 0.6529
Epoch [78/100], Step[497/526], Loss: 0.6258
Epoch [78/100], Step[498/526], Loss: 0.6705
Epoch [78/100], Step[499/526], Loss: 0.6644
Epoch [78/100], Step[500/526], Loss: 0.7048
Epoch [78/100], Step[501/526], Loss: 0.6605
Epoch [78/100], Step[502/526], Loss: 0.6978
Epoch [78/100], Step[503/526], Loss: 0.7139
Epoch [78/100], Step[504/526], Loss: 0.7080
Epoch [78/100], Step[505/526], Loss: 0.7193
Epoch [78/100], Step[506/526], Loss: 0.6535
Epoch [78/100], Step[507/526], Loss: 0.6750
Epoch [78/100], Step[508/526], Loss: 0.7007
Epoch [78/100], Step[509/526], Loss: 0.6306
Epoch [78/100], Step[510/526], Loss: 0.7026
Epoch [78/100], Step[511/526], Loss: 0.6353
Epoch [78/100], Step[512/526], Loss: 0.6623
Epoch [78/100], Step[513/526], Loss: 0.6406
Epoch [78/100], Step[514/526], Loss: 0.6562
Epoch [78/100], Step[515/526], Loss: 0.5912
Epoch [78/100], Step[516/526], Loss: 0.7549
Epoch [78/100], Step[517/526], Loss: 0.6924
Epoch [78/100], Step[518/526], Loss: 0.7335
Epoch [78/100], Step[519/526], Loss: 0.7210
Epoch [78/100], Step[520/526], Loss: 0.6909
Epoch [78/100], Step[521/526], Loss: 0.6621
Epoch [78/100], Step[522/526], Loss: 0.5840
Epoch [78/100], Step[523/526], Loss: 0.6437
Epoch [78/100], Step[524/526], Loss: 0.6250
Epoch [78/100], Step[525/526], Loss: 0.7616
Epoch [78/100], Step[526/526], Loss: 0.7255
Epoch [79/100], Step[1/526], Loss: 0.6576
Epoch [79/100], Step[2/526], Loss: 0.6454
Epoch [79/100], Step[3/526], Loss: 0.6746
Epoch [79/100], Step[4/526], Loss: 0.6323
Epoch [79/100], Step[5/526], Loss: 0.7479
Epoch [79/100], Step[6/526], Loss: 0.7593
Epoch [79/100], Step[7/526], Loss: 0.6873
Epoch [79/100], Step[8/526], Loss: 0.6750
Epoch [79/100], Step[9/526], Loss: 0.6951
Epoch [79/100], Step[10/526], Loss: 0.6411
Epoch [79/100], Step[11/526], Loss: 0.7245
Epoch [79/100], Step[12/526], Loss: 0.7542
Epoch [79/100], Step[13/526], Loss: 0.5960
Epoch [79/100], Step[14/526], Loss: 0.6517
Epoch [79/100], Step[15/526], Loss: 0.6801
Epoch [79/100], Step[16/526], Loss: 0.7057
Epoch [79/100], Step[17/526], Loss: 0.7181
Epoch [79/100], Step[18/526], Loss: 0.6507
Epoch [79/100], Step[19/526], Loss: 0.6958
Epoch [79/100], Step[20/526], Loss: 0.7655
Epoch [79/100], Step[21/526], Loss: 0.7690
Epoch [79/100], Step[22/526], Loss: 0.7427
Epoch [79/100], Step[23/526], Loss: 0.7412
Epoch [79/100], Step[24/526], Loss: 0.7186
Epoch [79/100], Step[25/526], Loss: 0.6949
Epoch [79/100], Step[26/526], Loss: 0.6013
Epoch [79/100], Step[27/526], Loss: 0.6686
Epoch [79/100], Step[28/526], Loss: 0.6966
Epoch [79/100], Step[29/526], Loss: 0.6416
Epoch [79/100], Step[30/526], Loss: 0.6951
Epoch [79/100], Step[31/526], Loss: 0.7024
Epoch [79/100], Step[32/526], Loss: 0.6485
Epoch [79/100], Step[33/526], Loss: 0.7193
Epoch [79/100], Step[34/526], Loss: 0.7019
Epoch [79/100], Step[35/526], Loss: 0.7263
Epoch [79/100], Step[36/526], Loss: 0.7052
Epoch [79/100], Step[37/526], Loss: 0.6885
Epoch [79/100], Step[38/526], Loss: 0.7148
Epoch [79/100], Step[39/526], Loss: 0.6847
Epoch [79/100], Step[40/526], Loss: 0.7071
Epoch [79/100], Step[41/526], Loss: 0.6592
Epoch [79/100], Step[42/526], Loss: 0.7294
Epoch [79/100], Step[43/526], Loss: 0.7127
Epoch [79/100], Step[44/526], Loss: 0.6920
Epoch [79/100], Step[45/526], Loss: 0.6945
Epoch [79/100], Step[46/526], Loss: 0.6950
Epoch [79/100], Step[47/526], Loss: 0.6957
Epoch [79/100], Step[48/526], Loss: 0.7270
Epoch [79/100], Step[49/526], Loss: 0.6984
Epoch [79/100], Step[50/526], Loss: 0.6957
Epoch [79/100], Step[51/526], Loss: 0.6961
Epoch [79/100], Step[52/526], Loss: 0.6721
Epoch [79/100], Step[53/526], Loss: 0.7145
Epoch [79/100], Step[54/526], Loss: 0.7002
Epoch [79/100], Step[55/526], Loss: 0.7213
Epoch [79/100], Step[56/526], Loss: 0.6794
Epoch [79/100], Step[57/526], Loss: 0.6887
Epoch [79/100], Step[58/526], Loss: 0.6683
Epoch [79/100], Step[59/526], Loss: 0.6496
Epoch [79/100], Step[60/526], Loss: 0.6612
Epoch [79/100], Step[61/526], Loss: 0.6661
Epoch [79/100], Step[62/526], Loss: 0.7028
Epoch [79/100], Step[63/526], Loss: 0.6905
Epoch [79/100], Step[64/526], Loss: 0.6776
Epoch [79/100], Step[65/526], Loss: 0.7212
Epoch [79/100], Step[66/526], Loss: 0.6800
Epoch [79/100], Step[67/526], Loss: 0.6350
Epoch [79/100], Step[68/526], Loss: 0.6544
Epoch [79/100], Step[69/526], Loss: 0.6891
Epoch [79/100], Step[70/526], Loss: 0.6840
Epoch [79/100], Step[71/526], Loss: 0.6685
Epoch [79/100], Step[72/526], Loss: 0.6797
Epoch [79/100], Step[73/526], Loss: 0.7180
Epoch [79/100], Step[74/526], Loss: 0.6577
Epoch [79/100], Step[75/526], Loss: 0.7048
Epoch [79/100], Step[76/526], Loss: 0.6887
Epoch [79/100], Step[77/526], Loss: 0.7056
Epoch [79/100], Step[78/526], Loss: 0.7116
Epoch [79/100], Step[79/526], Loss: 0.6950
Epoch [79/100], Step[80/526], Loss: 0.7003
Epoch [79/100], Step[81/526], Loss: 0.6919
Epoch [79/100], Step[82/526], Loss: 0.7199
Epoch [79/100], Step[83/526], Loss: 0.7052
Epoch [79/100], Step[84/526], Loss: 0.6802
Epoch [79/100], Step[85/526], Loss: 0.6616
Epoch [79/100], Step[86/526], Loss: 0.6858
Epoch [79/100], Step[87/526], Loss: 0.6861
Epoch [79/100], Step[88/526], Loss: 0.6914
Epoch [79/100], Step[89/526], Loss: 0.7282
Epoch [79/100], Step[90/526], Loss: 0.6744
Epoch [79/100], Step[91/526], Loss: 0.6842
Epoch [79/100], Step[92/526], Loss: 0.6702
Epoch [79/100], Step[93/526], Loss: 0.6871
Epoch [79/100], Step[94/526], Loss: 0.8024
Epoch [79/100], Step[95/526], Loss: 0.7151
Epoch [79/100], Step[96/526], Loss: 0.6108
Epoch [79/100], Step[97/526], Loss: 0.5837
Epoch [79/100], Step[98/526], Loss: 0.6886
Epoch [79/100], Step[99/526], Loss: 0.6815
Epoch [79/100], Step[100/526], Loss: 0.6551
Epoch [79/100], Step[101/526], Loss: 0.6573
Epoch [79/100], Step[102/526], Loss: 0.6254
Epoch [79/100], Step[103/526], Loss: 0.7089
Epoch [79/100], Step[104/526], Loss: 0.6535
Epoch [79/100], Step[105/526], Loss: 0.6191
Epoch [79/100], Step[106/526], Loss: 0.6830
Epoch [79/100], Step[107/526], Loss: 0.6167
Epoch [79/100], Step[108/526], Loss: 0.5825
Epoch [79/100], Step[109/526], Loss: 0.6565
Epoch [79/100], Step[110/526], Loss: 0.6863
Epoch [79/100], Step[111/526], Loss: 0.5995
Epoch [79/100], Step[112/526], Loss: 0.7416
Epoch [79/100], Step[113/526], Loss: 0.6066
Epoch [79/100], Step[114/526], Loss: 0.6550
Epoch [79/100], Step[115/526], Loss: 0.5915
Epoch [79/100], Step[116/526], Loss: 0.6310
Epoch [79/100], Step[117/526], Loss: 0.6851
Epoch [79/100], Step[118/526], Loss: 0.7570
Epoch [79/100], Step[119/526], Loss: 0.6788
Epoch [79/100], Step[120/526], Loss: 0.6740
Epoch [79/100], Step[121/526], Loss: 0.6979
Epoch [79/100], Step[122/526], Loss: 0.6193
Epoch [79/100], Step[123/526], Loss: 0.6557
Epoch [79/100], Step[124/526], Loss: 0.6691
Epoch [79/100], Step[125/526], Loss: 0.6369
Epoch [79/100], Step[126/526], Loss: 0.7120
Epoch [79/100], Step[127/526], Loss: 0.6664
Epoch [79/100], Step[128/526], Loss: 0.6305
Epoch [79/100], Step[129/526], Loss: 0.5961
Epoch [79/100], Step[130/526], Loss: 0.6453
Epoch [79/100], Step[131/526], Loss: 0.6662
Epoch [79/100], Step[132/526], Loss: 0.7048
Epoch [79/100], Step[133/526], Loss: 0.6764
Epoch [79/100], Step[134/526], Loss: 0.6295
Epoch [79/100], Step[135/526], Loss: 0.6418
Epoch [79/100], Step[136/526], Loss: 0.5595
Epoch [79/100], Step[137/526], Loss: 0.6393
Epoch [79/100], Step[138/526], Loss: 0.6398
Epoch [79/100], Step[139/526], Loss: 0.6869
Epoch [79/100], Step[140/526], Loss: 0.5931
Epoch [79/100], Step[141/526], Loss: 0.6700
Epoch [79/100], Step[142/526], Loss: 0.6721
Epoch [79/100], Step[143/526], Loss: 0.6884
Epoch [79/100], Step[144/526], Loss: 0.7650
Epoch [79/100], Step[145/526], Loss: 0.5088
Epoch [79/100], Step[146/526], Loss: 0.5007
Epoch [79/100], Step[147/526], Loss: 0.4875
Epoch [79/100], Step[148/526], Loss: 0.5916
Epoch [79/100], Step[149/526], Loss: 0.4760
Epoch [79/100], Step[150/526], Loss: 0.5554
Epoch [79/100], Step[151/526], Loss: 0.5458
Epoch [79/100], Step[152/526], Loss: 0.6291
Epoch [79/100], Step[153/526], Loss: 0.6427
Epoch [79/100], Step[154/526], Loss: 0.6733
Epoch [79/100], Step[155/526], Loss: 0.6940
Epoch [79/100], Step[156/526], Loss: 0.5561
Epoch [79/100], Step[157/526], Loss: 0.2798
Epoch [79/100], Step[158/526], Loss: 0.6028
Epoch [79/100], Step[159/526], Loss: 0.6318
Epoch [79/100], Step[160/526], Loss: 0.5605
Epoch [79/100], Step[161/526], Loss: 0.8106
Epoch [79/100], Step[162/526], Loss: 0.7206
Epoch [79/100], Step[163/526], Loss: 0.7092
Epoch [79/100], Step[164/526], Loss: 0.6123
Epoch [79/100], Step[165/526], Loss: 0.7144
Epoch [79/100], Step[166/526], Loss: 0.5320
Epoch [79/100], Step[167/526], Loss: 0.5545
Epoch [79/100], Step[168/526], Loss: 0.6875
Epoch [79/100], Step[169/526], Loss: 0.7234
Epoch [79/100], Step[170/526], Loss: 0.7232
Epoch [79/100], Step[171/526], Loss: 0.7310
Epoch [79/100], Step[172/526], Loss: 0.7207
Epoch [79/100], Step[173/526], Loss: 0.8135
Epoch [79/100], Step[174/526], Loss: 0.6293
Epoch [79/100], Step[175/526], Loss: 0.6511
Epoch [79/100], Step[176/526], Loss: 0.6507
Epoch [79/100], Step[177/526], Loss: 0.6709
Epoch [79/100], Step[178/526], Loss: 0.6938
Epoch [79/100], Step[179/526], Loss: 0.6244
Epoch [79/100], Step[180/526], Loss: 0.6492
Epoch [79/100], Step[181/526], Loss: 0.6576
Epoch [79/100], Step[182/526], Loss: 0.6736
Epoch [79/100], Step[183/526], Loss: 0.5490
Epoch [79/100], Step[184/526], Loss: 0.5630
Epoch [79/100], Step[185/526], Loss: 0.5885
Epoch [79/100], Step[186/526], Loss: 0.6274
Epoch [79/100], Step[187/526], Loss: 0.7572
Epoch [79/100], Step[188/526], Loss: 0.7407
Epoch [79/100], Step[189/526], Loss: 0.6685
Epoch [79/100], Step[190/526], Loss: 0.6898
Epoch [79/100], Step[191/526], Loss: 0.7101
Epoch [79/100], Step[192/526], Loss: 0.8393
Epoch [79/100], Step[193/526], Loss: 0.5976
Epoch [79/100], Step[194/526], Loss: 0.6255
Epoch [79/100], Step[195/526], Loss: 0.6182
Epoch [79/100], Step[196/526], Loss: 0.7118
Epoch [79/100], Step[197/526], Loss: 0.6342
Epoch [79/100], Step[198/526], Loss: 0.5956
Epoch [79/100], Step[199/526], Loss: 0.7255
Epoch [79/100], Step[200/526], Loss: 0.6507
Epoch [79/100], Step[201/526], Loss: 0.6898
Epoch [79/100], Step[202/526], Loss: 0.8193
Epoch [79/100], Step[203/526], Loss: 0.6580
Epoch [79/100], Step[204/526], Loss: 0.7946
Epoch [79/100], Step[205/526], Loss: 0.7010
Epoch [79/100], Step[206/526], Loss: 0.6940
Epoch [79/100], Step[207/526], Loss: 0.7045
Epoch [79/100], Step[208/526], Loss: 0.6967
Epoch [79/100], Step[209/526], Loss: 0.7105
Epoch [79/100], Step[210/526], Loss: 0.7758
Epoch [79/100], Step[211/526], Loss: 0.6248
Epoch [79/100], Step[212/526], Loss: 0.7044
Epoch [79/100], Step[213/526], Loss: 0.7232
Epoch [79/100], Step[214/526], Loss: 0.7021
Epoch [79/100], Step[215/526], Loss: 0.6995
Epoch [79/100], Step[216/526], Loss: 0.6867
Epoch [79/100], Step[217/526], Loss: 0.6642
Epoch [79/100], Step[218/526], Loss: 0.6950
Epoch [79/100], Step[219/526], Loss: 0.6879
Epoch [79/100], Step[220/526], Loss: 0.7252
Epoch [79/100], Step[221/526], Loss: 0.6889
Epoch [79/100], Step[222/526], Loss: 0.7270
Epoch [79/100], Step[223/526], Loss: 0.6353
Epoch [79/100], Step[224/526], Loss: 0.6600
Epoch [79/100], Step[225/526], Loss: 0.6951
Epoch [79/100], Step[226/526], Loss: 0.6516
Epoch [79/100], Step[227/526], Loss: 0.6680
Epoch [79/100], Step[228/526], Loss: 0.6738
Epoch [79/100], Step[229/526], Loss: 0.7064
Epoch [79/100], Step[230/526], Loss: 0.6497
Epoch [79/100], Step[231/526], Loss: 0.6395
Epoch [79/100], Step[232/526], Loss: 0.6463
Epoch [79/100], Step[233/526], Loss: 0.6852
Epoch [79/100], Step[234/526], Loss: 0.6261
Epoch [79/100], Step[235/526], Loss: 0.7042
Epoch [79/100], Step[236/526], Loss: 0.6890
Epoch [79/100], Step[237/526], Loss: 0.7097
Epoch [79/100], Step[238/526], Loss: 0.6149
Epoch [79/100], Step[239/526], Loss: 0.6458
Epoch [79/100], Step[240/526], Loss: 0.6890
Epoch [79/100], Step[241/526], Loss: 0.6645
Epoch [79/100], Step[242/526], Loss: 0.6866
Epoch [79/100], Step[243/526], Loss: 0.6152
Epoch [79/100], Step[244/526], Loss: 0.5880
Epoch [79/100], Step[245/526], Loss: 0.6065
Epoch [79/100], Step[246/526], Loss: 0.6662
Epoch [79/100], Step[247/526], Loss: 0.5380
Epoch [79/100], Step[248/526], Loss: 0.5656
Epoch [79/100], Step[249/526], Loss: 0.7322
Epoch [79/100], Step[250/526], Loss: 0.6963
Epoch [79/100], Step[251/526], Loss: 0.6568
Epoch [79/100], Step[252/526], Loss: 0.7090
Epoch [79/100], Step[253/526], Loss: 0.6153
Epoch [79/100], Step[254/526], Loss: 0.6454
Epoch [79/100], Step[255/526], Loss: 0.5590
Epoch [79/100], Step[256/526], Loss: 0.6616
Epoch [79/100], Step[257/526], Loss: 0.6571
Epoch [79/100], Step[258/526], Loss: 0.6237
Epoch [79/100], Step[259/526], Loss: 0.7068
Epoch [79/100], Step[260/526], Loss: 0.7658
Epoch [79/100], Step[261/526], Loss: 0.7871
Epoch [79/100], Step[262/526], Loss: 0.6155
Epoch [79/100], Step[263/526], Loss: 0.6644
Epoch [79/100], Step[264/526], Loss: 0.6389
Epoch [79/100], Step[265/526], Loss: 0.4940
Epoch [79/100], Step[266/526], Loss: 0.4946
Epoch [79/100], Step[267/526], Loss: 0.4551
Epoch [79/100], Step[268/526], Loss: 0.5714
Epoch [79/100], Step[269/526], Loss: 0.4418
Epoch [79/100], Step[270/526], Loss: 0.4049
Epoch [79/100], Step[271/526], Loss: 0.5372
Epoch [79/100], Step[272/526], Loss: 0.5352
Epoch [79/100], Step[273/526], Loss: 0.6555
Epoch [79/100], Step[274/526], Loss: 0.4497
Epoch [79/100], Step[275/526], Loss: 0.3844
Epoch [79/100], Step[276/526], Loss: 0.4966
Epoch [79/100], Step[277/526], Loss: 0.3651
Epoch [79/100], Step[278/526], Loss: 0.4647
Epoch [79/100], Step[279/526], Loss: 0.4285
Epoch [79/100], Step[280/526], Loss: 0.4661
Epoch [79/100], Step[281/526], Loss: 0.6714
Epoch [79/100], Step[282/526], Loss: 0.4055
Epoch [79/100], Step[283/526], Loss: 0.3868
Epoch [79/100], Step[284/526], Loss: 0.4317
Epoch [79/100], Step[285/526], Loss: 0.3038
Epoch [79/100], Step[286/526], Loss: 0.7162
Epoch [79/100], Step[287/526], Loss: 0.5234
Epoch [79/100], Step[288/526], Loss: 0.3840
Epoch [79/100], Step[289/526], Loss: 0.6002
Epoch [79/100], Step[290/526], Loss: 0.4306
Epoch [79/100], Step[291/526], Loss: 0.4974
Epoch [79/100], Step[292/526], Loss: 0.2865
Epoch [79/100], Step[293/526], Loss: 0.3169
Epoch [79/100], Step[294/526], Loss: 0.3417
Epoch [79/100], Step[295/526], Loss: 0.4115
Epoch [79/100], Step[296/526], Loss: 0.5898
Epoch [79/100], Step[297/526], Loss: 0.3299
Epoch [79/100], Step[298/526], Loss: 0.2923
Epoch [79/100], Step[299/526], Loss: 0.2247
Epoch [79/100], Step[300/526], Loss: 0.2595
Epoch [79/100], Step[301/526], Loss: 0.6217
Epoch [79/100], Step[302/526], Loss: 0.3589
Epoch [79/100], Step[303/526], Loss: 0.4461
Epoch [79/100], Step[304/526], Loss: 0.2565
Epoch [79/100], Step[305/526], Loss: 0.2533
Epoch [79/100], Step[306/526], Loss: 0.5969
Epoch [79/100], Step[307/526], Loss: 0.9215
Epoch [79/100], Step[308/526], Loss: 1.3142
Epoch [79/100], Step[309/526], Loss: 0.9856
Epoch [79/100], Step[310/526], Loss: 0.9473
Epoch [79/100], Step[311/526], Loss: 0.8393
Epoch [79/100], Step[312/526], Loss: 0.4881
Epoch [79/100], Step[313/526], Loss: 0.4295
Epoch [79/100], Step[314/526], Loss: 0.5879
Epoch [79/100], Step[315/526], Loss: 0.7060
Epoch [79/100], Step[316/526], Loss: 0.5015
Epoch [79/100], Step[317/526], Loss: 0.3271
Epoch [79/100], Step[318/526], Loss: 0.7502
Epoch [79/100], Step[319/526], Loss: 0.3772
Epoch [79/100], Step[320/526], Loss: 0.6254
Epoch [79/100], Step[321/526], Loss: 0.7565
Epoch [79/100], Step[322/526], Loss: 0.2733
Epoch [79/100], Step[323/526], Loss: 0.5996
Epoch [79/100], Step[324/526], Loss: 0.6450
Epoch [79/100], Step[325/526], Loss: 0.5421
Epoch [79/100], Step[326/526], Loss: 0.7732
Epoch [79/100], Step[327/526], Loss: 0.7708
Epoch [79/100], Step[328/526], Loss: 0.9234
Epoch [79/100], Step[329/526], Loss: 1.2697
Epoch [79/100], Step[330/526], Loss: 1.0419
Epoch [79/100], Step[331/526], Loss: 0.8030
Epoch [79/100], Step[332/526], Loss: 0.8907
Epoch [79/100], Step[333/526], Loss: 0.7394
Epoch [79/100], Step[334/526], Loss: 0.8037
Epoch [79/100], Step[335/526], Loss: 0.7409
Epoch [79/100], Step[336/526], Loss: 0.6789
Epoch [79/100], Step[337/526], Loss: 0.5800
Epoch [79/100], Step[338/526], Loss: 0.7246
Epoch [79/100], Step[339/526], Loss: 0.6510
Epoch [79/100], Step[340/526], Loss: 0.7259
Epoch [79/100], Step[341/526], Loss: 0.7257
Epoch [79/100], Step[342/526], Loss: 0.7416
Epoch [79/100], Step[343/526], Loss: 0.5277
Epoch [79/100], Step[344/526], Loss: 0.6947
Epoch [79/100], Step[345/526], Loss: 0.7109
Epoch [79/100], Step[346/526], Loss: 0.6658
Epoch [79/100], Step[347/526], Loss: 0.7191
Epoch [79/100], Step[348/526], Loss: 0.6189
Epoch [79/100], Step[349/526], Loss: 0.5771
Epoch [79/100], Step[350/526], Loss: 0.6462
Epoch [79/100], Step[351/526], Loss: 0.6855
Epoch [79/100], Step[352/526], Loss: 0.6249
Epoch [79/100], Step[353/526], Loss: 0.6665
Epoch [79/100], Step[354/526], Loss: 0.6741
Epoch [79/100], Step[355/526], Loss: 0.6619
Epoch [79/100], Step[356/526], Loss: 0.6921
Epoch [79/100], Step[357/526], Loss: 0.6438
Epoch [79/100], Step[358/526], Loss: 0.7045
Epoch [79/100], Step[359/526], Loss: 0.6345
Epoch [79/100], Step[360/526], Loss: 0.6787
Epoch [79/100], Step[361/526], Loss: 0.7118
Epoch [79/100], Step[362/526], Loss: 0.6968
Epoch [79/100], Step[363/526], Loss: 0.6988
Epoch [79/100], Step[364/526], Loss: 0.7345
Epoch [79/100], Step[365/526], Loss: 0.7251
Epoch [79/100], Step[366/526], Loss: 0.6842
Epoch [79/100], Step[367/526], Loss: 0.6814
Epoch [79/100], Step[368/526], Loss: 0.6543
Epoch [79/100], Step[369/526], Loss: 0.6410
Epoch [79/100], Step[370/526], Loss: 0.5384
Epoch [79/100], Step[371/526], Loss: 0.7391
Epoch [79/100], Step[372/526], Loss: 0.6270
Epoch [79/100], Step[373/526], Loss: 0.6747
Epoch [79/100], Step[374/526], Loss: 0.7022
Epoch [79/100], Step[375/526], Loss: 0.6301
Epoch [79/100], Step[376/526], Loss: 0.6275
Epoch [79/100], Step[377/526], Loss: 0.6916
Epoch [79/100], Step[378/526], Loss: 0.6796
Epoch [79/100], Step[379/526], Loss: 0.8010
Epoch [79/100], Step[380/526], Loss: 0.6015
Epoch [79/100], Step[381/526], Loss: 0.5769
Epoch [79/100], Step[382/526], Loss: 0.6702
Epoch [79/100], Step[383/526], Loss: 0.6881
Epoch [79/100], Step[384/526], Loss: 0.6273
Epoch [79/100], Step[385/526], Loss: 0.6350
Epoch [79/100], Step[386/526], Loss: 0.6404
Epoch [79/100], Step[387/526], Loss: 0.6592
Epoch [79/100], Step[388/526], Loss: 0.5849
Epoch [79/100], Step[389/526], Loss: 0.7434
Epoch [79/100], Step[390/526], Loss: 0.5738
Epoch [79/100], Step[391/526], Loss: 0.6258
Epoch [79/100], Step[392/526], Loss: 0.7262
Epoch [79/100], Step[393/526], Loss: 0.5822
Epoch [79/100], Step[394/526], Loss: 0.5116
Epoch [79/100], Step[395/526], Loss: 0.5893
Epoch [79/100], Step[396/526], Loss: 0.6237
Epoch [79/100], Step[397/526], Loss: 0.4755
Epoch [79/100], Step[398/526], Loss: 0.6069
Epoch [79/100], Step[399/526], Loss: 0.6629
Epoch [79/100], Step[400/526], Loss: 0.4783
Epoch [79/100], Step[401/526], Loss: 0.5977
Epoch [79/100], Step[402/526], Loss: 0.6425
Epoch [79/100], Step[403/526], Loss: 0.7660
Epoch [79/100], Step[404/526], Loss: 0.4741
Epoch [79/100], Step[405/526], Loss: 0.4895
Epoch [79/100], Step[406/526], Loss: 0.6363
Epoch [79/100], Step[407/526], Loss: 0.7646
Epoch [79/100], Step[408/526], Loss: 0.6555
Epoch [79/100], Step[409/526], Loss: 0.4776
Epoch [79/100], Step[410/526], Loss: 0.5059
Epoch [79/100], Step[411/526], Loss: 0.5384
Epoch [79/100], Step[412/526], Loss: 0.6005
Epoch [79/100], Step[413/526], Loss: 0.6088
Epoch [79/100], Step[414/526], Loss: 0.6483
Epoch [79/100], Step[415/526], Loss: 0.5972
Epoch [79/100], Step[416/526], Loss: 0.5825
Epoch [79/100], Step[417/526], Loss: 0.4709
Epoch [79/100], Step[418/526], Loss: 0.7605
Epoch [79/100], Step[419/526], Loss: 0.6789
Epoch [79/100], Step[420/526], Loss: 0.6755
Epoch [79/100], Step[421/526], Loss: 0.6635
Epoch [79/100], Step[422/526], Loss: 0.7545
Epoch [79/100], Step[423/526], Loss: 0.6955
Epoch [79/100], Step[424/526], Loss: 0.7584
Epoch [79/100], Step[425/526], Loss: 0.7064
Epoch [79/100], Step[426/526], Loss: 0.7495
Epoch [79/100], Step[427/526], Loss: 0.7061
Epoch [79/100], Step[428/526], Loss: 0.7110
Epoch [79/100], Step[429/526], Loss: 0.7423
Epoch [79/100], Step[430/526], Loss: 0.7804
Epoch [79/100], Step[431/526], Loss: 0.7105
Epoch [79/100], Step[432/526], Loss: 0.7187
Epoch [79/100], Step[433/526], Loss: 0.6692
Epoch [79/100], Step[434/526], Loss: 0.6036
Epoch [79/100], Step[435/526], Loss: 0.7662
Epoch [79/100], Step[436/526], Loss: 0.8095
Epoch [79/100], Step[437/526], Loss: 0.4941
Epoch [79/100], Step[438/526], Loss: 0.3792
Epoch [79/100], Step[439/526], Loss: 0.7200
Epoch [79/100], Step[440/526], Loss: 0.6816
Epoch [79/100], Step[441/526], Loss: 0.6983
Epoch [79/100], Step[442/526], Loss: 0.6533
Epoch [79/100], Step[443/526], Loss: 0.6703
Epoch [79/100], Step[444/526], Loss: 0.7554
Epoch [79/100], Step[445/526], Loss: 0.7137
Epoch [79/100], Step[446/526], Loss: 0.6977
Epoch [79/100], Step[447/526], Loss: 0.7289
Epoch [79/100], Step[448/526], Loss: 0.7185
Epoch [79/100], Step[449/526], Loss: 0.6695
Epoch [79/100], Step[450/526], Loss: 0.5994
Epoch [79/100], Step[451/526], Loss: 0.6701
Epoch [79/100], Step[452/526], Loss: 0.7314
Epoch [79/100], Step[453/526], Loss: 0.7016
Epoch [79/100], Step[454/526], Loss: 0.8444
Epoch [79/100], Step[455/526], Loss: 0.6275
Epoch [79/100], Step[456/526], Loss: 0.6352
Epoch [79/100], Step[457/526], Loss: 0.6985
Epoch [79/100], Step[458/526], Loss: 0.6873
Epoch [79/100], Step[459/526], Loss: 0.6560
Epoch [79/100], Step[460/526], Loss: 0.6261
Epoch [79/100], Step[461/526], Loss: 0.5920
Epoch [79/100], Step[462/526], Loss: 0.6490
Epoch [79/100], Step[463/526], Loss: 0.6444
Epoch [79/100], Step[464/526], Loss: 0.6154
Epoch [79/100], Step[465/526], Loss: 0.6393
Epoch [79/100], Step[466/526], Loss: 0.6610
Epoch [79/100], Step[467/526], Loss: 0.6433
Epoch [79/100], Step[468/526], Loss: 0.5890
Epoch [79/100], Step[469/526], Loss: 0.8400
Epoch [79/100], Step[470/526], Loss: 0.6669
Epoch [79/100], Step[471/526], Loss: 0.6966
Epoch [79/100], Step[472/526], Loss: 0.6812
Epoch [79/100], Step[473/526], Loss: 0.6796
Epoch [79/100], Step[474/526], Loss: 0.6727
Epoch [79/100], Step[475/526], Loss: 0.8475
Epoch [79/100], Step[476/526], Loss: 0.7381
Epoch [79/100], Step[477/526], Loss: 0.6897
Epoch [79/100], Step[478/526], Loss: 0.6844
Epoch [79/100], Step[479/526], Loss: 0.6618
Epoch [79/100], Step[480/526], Loss: 0.7366
Epoch [79/100], Step[481/526], Loss: 0.7372
Epoch [79/100], Step[482/526], Loss: 0.6412
Epoch [79/100], Step[483/526], Loss: 0.5328
Epoch [79/100], Step[484/526], Loss: 0.7191
Epoch [79/100], Step[485/526], Loss: 0.7654
Epoch [79/100], Step[486/526], Loss: 0.7439
Epoch [79/100], Step[487/526], Loss: 0.7532
Epoch [79/100], Step[488/526], Loss: 0.6765
Epoch [79/100], Step[489/526], Loss: 0.6112
Epoch [79/100], Step[490/526], Loss: 0.5958
Epoch [79/100], Step[491/526], Loss: 0.6712
Epoch [79/100], Step[492/526], Loss: 0.6448
Epoch [79/100], Step[493/526], Loss: 0.6339
Epoch [79/100], Step[494/526], Loss: 0.6793
Epoch [79/100], Step[495/526], Loss: 0.6936
Epoch [79/100], Step[496/526], Loss: 0.6504
Epoch [79/100], Step[497/526], Loss: 0.6251
Epoch [79/100], Step[498/526], Loss: 0.6712
Epoch [79/100], Step[499/526], Loss: 0.6640
Epoch [79/100], Step[500/526], Loss: 0.7025
Epoch [79/100], Step[501/526], Loss: 0.6625
Epoch [79/100], Step[502/526], Loss: 0.6984
Epoch [79/100], Step[503/526], Loss: 0.7136
Epoch [79/100], Step[504/526], Loss: 0.7081
Epoch [79/100], Step[505/526], Loss: 0.7216
Epoch [79/100], Step[506/526], Loss: 0.6565
Epoch [79/100], Step[507/526], Loss: 0.6754
Epoch [79/100], Step[508/526], Loss: 0.7025
Epoch [79/100], Step[509/526], Loss: 0.6316
Epoch [79/100], Step[510/526], Loss: 0.7021
Epoch [79/100], Step[511/526], Loss: 0.6363
Epoch [79/100], Step[512/526], Loss: 0.6610
Epoch [79/100], Step[513/526], Loss: 0.6429
Epoch [79/100], Step[514/526], Loss: 0.6572
Epoch [79/100], Step[515/526], Loss: 0.5959
Epoch [79/100], Step[516/526], Loss: 0.7553
Epoch [79/100], Step[517/526], Loss: 0.6912
Epoch [79/100], Step[518/526], Loss: 0.7337
Epoch [79/100], Step[519/526], Loss: 0.7202
Epoch [79/100], Step[520/526], Loss: 0.6868
Epoch [79/100], Step[521/526], Loss: 0.6543
Epoch [79/100], Step[522/526], Loss: 0.5815
Epoch [79/100], Step[523/526], Loss: 0.6421
Epoch [79/100], Step[524/526], Loss: 0.6194
Epoch [79/100], Step[525/526], Loss: 0.7617
Epoch [79/100], Step[526/526], Loss: 0.7191
Epoch [80/100], Step[1/526], Loss: 0.6573
Epoch [80/100], Step[2/526], Loss: 0.6474
Epoch [80/100], Step[3/526], Loss: 0.6558
Epoch [80/100], Step[4/526], Loss: 0.6293
Epoch [80/100], Step[5/526], Loss: 0.7499
Epoch [80/100], Step[6/526], Loss: 0.7539
Epoch [80/100], Step[7/526], Loss: 0.6898
Epoch [80/100], Step[8/526], Loss: 0.6750
Epoch [80/100], Step[9/526], Loss: 0.6960
Epoch [80/100], Step[10/526], Loss: 0.6524
Epoch [80/100], Step[11/526], Loss: 0.7034
Epoch [80/100], Step[12/526], Loss: 0.7435
Epoch [80/100], Step[13/526], Loss: 0.6026
Epoch [80/100], Step[14/526], Loss: 0.6588
Epoch [80/100], Step[15/526], Loss: 0.6786
Epoch [80/100], Step[16/526], Loss: 0.7109
Epoch [80/100], Step[17/526], Loss: 0.7076
Epoch [80/100], Step[18/526], Loss: 0.6695
Epoch [80/100], Step[19/526], Loss: 0.7245
Epoch [80/100], Step[20/526], Loss: 0.7523
Epoch [80/100], Step[21/526], Loss: 0.7636
Epoch [80/100], Step[22/526], Loss: 0.7394
Epoch [80/100], Step[23/526], Loss: 0.7451
Epoch [80/100], Step[24/526], Loss: 0.7271
Epoch [80/100], Step[25/526], Loss: 0.6942
Epoch [80/100], Step[26/526], Loss: 0.6074
Epoch [80/100], Step[27/526], Loss: 0.6740
Epoch [80/100], Step[28/526], Loss: 0.6993
Epoch [80/100], Step[29/526], Loss: 0.6406
Epoch [80/100], Step[30/526], Loss: 0.6881
Epoch [80/100], Step[31/526], Loss: 0.6999
Epoch [80/100], Step[32/526], Loss: 0.6495
Epoch [80/100], Step[33/526], Loss: 0.7144
Epoch [80/100], Step[34/526], Loss: 0.7010
Epoch [80/100], Step[35/526], Loss: 0.7284
Epoch [80/100], Step[36/526], Loss: 0.7021
Epoch [80/100], Step[37/526], Loss: 0.6898
Epoch [80/100], Step[38/526], Loss: 0.7165
Epoch [80/100], Step[39/526], Loss: 0.6859
Epoch [80/100], Step[40/526], Loss: 0.7115
Epoch [80/100], Step[41/526], Loss: 0.6563
Epoch [80/100], Step[42/526], Loss: 0.7295
Epoch [80/100], Step[43/526], Loss: 0.7121
Epoch [80/100], Step[44/526], Loss: 0.6938
Epoch [80/100], Step[45/526], Loss: 0.6934
Epoch [80/100], Step[46/526], Loss: 0.6908
Epoch [80/100], Step[47/526], Loss: 0.6959
Epoch [80/100], Step[48/526], Loss: 0.7269
Epoch [80/100], Step[49/526], Loss: 0.7010
Epoch [80/100], Step[50/526], Loss: 0.6990
Epoch [80/100], Step[51/526], Loss: 0.6952
Epoch [80/100], Step[52/526], Loss: 0.6708
Epoch [80/100], Step[53/526], Loss: 0.7161
Epoch [80/100], Step[54/526], Loss: 0.6991
Epoch [80/100], Step[55/526], Loss: 0.7144
Epoch [80/100], Step[56/526], Loss: 0.6776
Epoch [80/100], Step[57/526], Loss: 0.6888
Epoch [80/100], Step[58/526], Loss: 0.6685
Epoch [80/100], Step[59/526], Loss: 0.6511
Epoch [80/100], Step[60/526], Loss: 0.6595
Epoch [80/100], Step[61/526], Loss: 0.6620
Epoch [80/100], Step[62/526], Loss: 0.7030
Epoch [80/100], Step[63/526], Loss: 0.6891
Epoch [80/100], Step[64/526], Loss: 0.6727
Epoch [80/100], Step[65/526], Loss: 0.7170
Epoch [80/100], Step[66/526], Loss: 0.6795
Epoch [80/100], Step[67/526], Loss: 0.6324
Epoch [80/100], Step[68/526], Loss: 0.6510
Epoch [80/100], Step[69/526], Loss: 0.6902
Epoch [80/100], Step[70/526], Loss: 0.6860
Epoch [80/100], Step[71/526], Loss: 0.6669
Epoch [80/100], Step[72/526], Loss: 0.6774
Epoch [80/100], Step[73/526], Loss: 0.7190
Epoch [80/100], Step[74/526], Loss: 0.6568
Epoch [80/100], Step[75/526], Loss: 0.7052
Epoch [80/100], Step[76/526], Loss: 0.6886
Epoch [80/100], Step[77/526], Loss: 0.7057
Epoch [80/100], Step[78/526], Loss: 0.7128
Epoch [80/100], Step[79/526], Loss: 0.6889
Epoch [80/100], Step[80/526], Loss: 0.7000
Epoch [80/100], Step[81/526], Loss: 0.6906
Epoch [80/100], Step[82/526], Loss: 0.7192
Epoch [80/100], Step[83/526], Loss: 0.6992
Epoch [80/100], Step[84/526], Loss: 0.6821
Epoch [80/100], Step[85/526], Loss: 0.6503
Epoch [80/100], Step[86/526], Loss: 0.6819
Epoch [80/100], Step[87/526], Loss: 0.6866
Epoch [80/100], Step[88/526], Loss: 0.6913
Epoch [80/100], Step[89/526], Loss: 0.7275
Epoch [80/100], Step[90/526], Loss: 0.6799
Epoch [80/100], Step[91/526], Loss: 0.6847
Epoch [80/100], Step[92/526], Loss: 0.6651
Epoch [80/100], Step[93/526], Loss: 0.6901
Epoch [80/100], Step[94/526], Loss: 0.8035
Epoch [80/100], Step[95/526], Loss: 0.7114
Epoch [80/100], Step[96/526], Loss: 0.6028
Epoch [80/100], Step[97/526], Loss: 0.5837
Epoch [80/100], Step[98/526], Loss: 0.6867
Epoch [80/100], Step[99/526], Loss: 0.6792
Epoch [80/100], Step[100/526], Loss: 0.6620
Epoch [80/100], Step[101/526], Loss: 0.6575
Epoch [80/100], Step[102/526], Loss: 0.6268
Epoch [80/100], Step[103/526], Loss: 0.7183
Epoch [80/100], Step[104/526], Loss: 0.6561
Epoch [80/100], Step[105/526], Loss: 0.6233
Epoch [80/100], Step[106/526], Loss: 0.6834
Epoch [80/100], Step[107/526], Loss: 0.6114
Epoch [80/100], Step[108/526], Loss: 0.5825
Epoch [80/100], Step[109/526], Loss: 0.6627
Epoch [80/100], Step[110/526], Loss: 0.6835
Epoch [80/100], Step[111/526], Loss: 0.5961
Epoch [80/100], Step[112/526], Loss: 0.7416
Epoch [80/100], Step[113/526], Loss: 0.6057
Epoch [80/100], Step[114/526], Loss: 0.6527
Epoch [80/100], Step[115/526], Loss: 0.5891
Epoch [80/100], Step[116/526], Loss: 0.6317
Epoch [80/100], Step[117/526], Loss: 0.6892
Epoch [80/100], Step[118/526], Loss: 0.7582
Epoch [80/100], Step[119/526], Loss: 0.6790
Epoch [80/100], Step[120/526], Loss: 0.6696
Epoch [80/100], Step[121/526], Loss: 0.7019
Epoch [80/100], Step[122/526], Loss: 0.6189
Epoch [80/100], Step[123/526], Loss: 0.6503
Epoch [80/100], Step[124/526], Loss: 0.6694
Epoch [80/100], Step[125/526], Loss: 0.6361
Epoch [80/100], Step[126/526], Loss: 0.7100
Epoch [80/100], Step[127/526], Loss: 0.6624
Epoch [80/100], Step[128/526], Loss: 0.6300
Epoch [80/100], Step[129/526], Loss: 0.6071
Epoch [80/100], Step[130/526], Loss: 0.6521
Epoch [80/100], Step[131/526], Loss: 0.6662
Epoch [80/100], Step[132/526], Loss: 0.7010
Epoch [80/100], Step[133/526], Loss: 0.6673
Epoch [80/100], Step[134/526], Loss: 0.6326
Epoch [80/100], Step[135/526], Loss: 0.6389
Epoch [80/100], Step[136/526], Loss: 0.5600
Epoch [80/100], Step[137/526], Loss: 0.6422
Epoch [80/100], Step[138/526], Loss: 0.6360
Epoch [80/100], Step[139/526], Loss: 0.6871
Epoch [80/100], Step[140/526], Loss: 0.5884
Epoch [80/100], Step[141/526], Loss: 0.6678
Epoch [80/100], Step[142/526], Loss: 0.6742
Epoch [80/100], Step[143/526], Loss: 0.6877
Epoch [80/100], Step[144/526], Loss: 0.8195
Epoch [80/100], Step[145/526], Loss: 0.6110
Epoch [80/100], Step[146/526], Loss: 0.4866
Epoch [80/100], Step[147/526], Loss: 0.5122
Epoch [80/100], Step[148/526], Loss: 0.5909
Epoch [80/100], Step[149/526], Loss: 0.4728
Epoch [80/100], Step[150/526], Loss: 0.5546
Epoch [80/100], Step[151/526], Loss: 0.5411
Epoch [80/100], Step[152/526], Loss: 0.6371
Epoch [80/100], Step[153/526], Loss: 0.6429
Epoch [80/100], Step[154/526], Loss: 0.6794
Epoch [80/100], Step[155/526], Loss: 0.6970
Epoch [80/100], Step[156/526], Loss: 0.5607
Epoch [80/100], Step[157/526], Loss: 0.2779
Epoch [80/100], Step[158/526], Loss: 0.6083
Epoch [80/100], Step[159/526], Loss: 0.6345
Epoch [80/100], Step[160/526], Loss: 0.5587
Epoch [80/100], Step[161/526], Loss: 0.8131
Epoch [80/100], Step[162/526], Loss: 0.7203
Epoch [80/100], Step[163/526], Loss: 0.7094
Epoch [80/100], Step[164/526], Loss: 0.6112
Epoch [80/100], Step[165/526], Loss: 0.7129
Epoch [80/100], Step[166/526], Loss: 0.5331
Epoch [80/100], Step[167/526], Loss: 0.5516
Epoch [80/100], Step[168/526], Loss: 0.6898
Epoch [80/100], Step[169/526], Loss: 0.7217
Epoch [80/100], Step[170/526], Loss: 0.7258
Epoch [80/100], Step[171/526], Loss: 0.7326
Epoch [80/100], Step[172/526], Loss: 0.7197
Epoch [80/100], Step[173/526], Loss: 0.8107
Epoch [80/100], Step[174/526], Loss: 0.6324
Epoch [80/100], Step[175/526], Loss: 0.6521
Epoch [80/100], Step[176/526], Loss: 0.6473
Epoch [80/100], Step[177/526], Loss: 0.6713
Epoch [80/100], Step[178/526], Loss: 0.6945
Epoch [80/100], Step[179/526], Loss: 0.6288
Epoch [80/100], Step[180/526], Loss: 0.6540
Epoch [80/100], Step[181/526], Loss: 0.6584
Epoch [80/100], Step[182/526], Loss: 0.6786
Epoch [80/100], Step[183/526], Loss: 0.5513
Epoch [80/100], Step[184/526], Loss: 0.5649
Epoch [80/100], Step[185/526], Loss: 0.5897
Epoch [80/100], Step[186/526], Loss: 0.6305
Epoch [80/100], Step[187/526], Loss: 0.7619
Epoch [80/100], Step[188/526], Loss: 0.7426
Epoch [80/100], Step[189/526], Loss: 0.6677
Epoch [80/100], Step[190/526], Loss: 0.6666
Epoch [80/100], Step[191/526], Loss: 0.6989
Epoch [80/100], Step[192/526], Loss: 0.7809
Epoch [80/100], Step[193/526], Loss: 0.5917
Epoch [80/100], Step[194/526], Loss: 0.6192
Epoch [80/100], Step[195/526], Loss: 0.6153
Epoch [80/100], Step[196/526], Loss: 0.7147
Epoch [80/100], Step[197/526], Loss: 0.6289
Epoch [80/100], Step[198/526], Loss: 0.5932
Epoch [80/100], Step[199/526], Loss: 0.7229
Epoch [80/100], Step[200/526], Loss: 0.6494
Epoch [80/100], Step[201/526], Loss: 0.6902
Epoch [80/100], Step[202/526], Loss: 0.8344
Epoch [80/100], Step[203/526], Loss: 0.6562
Epoch [80/100], Step[204/526], Loss: 0.7984
Epoch [80/100], Step[205/526], Loss: 0.6993
Epoch [80/100], Step[206/526], Loss: 0.6928
Epoch [80/100], Step[207/526], Loss: 0.6988
Epoch [80/100], Step[208/526], Loss: 0.6993
Epoch [80/100], Step[209/526], Loss: 0.7103
Epoch [80/100], Step[210/526], Loss: 0.7762
Epoch [80/100], Step[211/526], Loss: 0.6243
Epoch [80/100], Step[212/526], Loss: 0.7027
Epoch [80/100], Step[213/526], Loss: 0.7260
Epoch [80/100], Step[214/526], Loss: 0.6975
Epoch [80/100], Step[215/526], Loss: 0.6990
Epoch [80/100], Step[216/526], Loss: 0.6877
Epoch [80/100], Step[217/526], Loss: 0.6598
Epoch [80/100], Step[218/526], Loss: 0.6956
Epoch [80/100], Step[219/526], Loss: 0.6869
Epoch [80/100], Step[220/526], Loss: 0.7263
Epoch [80/100], Step[221/526], Loss: 0.6836
Epoch [80/100], Step[222/526], Loss: 0.7278
Epoch [80/100], Step[223/526], Loss: 0.6271
Epoch [80/100], Step[224/526], Loss: 0.6591
Epoch [80/100], Step[225/526], Loss: 0.6902
Epoch [80/100], Step[226/526], Loss: 0.6538
Epoch [80/100], Step[227/526], Loss: 0.6715
Epoch [80/100], Step[228/526], Loss: 0.6823
Epoch [80/100], Step[229/526], Loss: 0.7090
Epoch [80/100], Step[230/526], Loss: 0.6484
Epoch [80/100], Step[231/526], Loss: 0.6367
Epoch [80/100], Step[232/526], Loss: 0.6332
Epoch [80/100], Step[233/526], Loss: 0.6881
Epoch [80/100], Step[234/526], Loss: 0.6194
Epoch [80/100], Step[235/526], Loss: 0.7067
Epoch [80/100], Step[236/526], Loss: 0.6859
Epoch [80/100], Step[237/526], Loss: 0.7068
Epoch [80/100], Step[238/526], Loss: 0.6023
Epoch [80/100], Step[239/526], Loss: 0.6451
Epoch [80/100], Step[240/526], Loss: 0.6767
Epoch [80/100], Step[241/526], Loss: 0.6564
Epoch [80/100], Step[242/526], Loss: 0.6726
Epoch [80/100], Step[243/526], Loss: 0.5945
Epoch [80/100], Step[244/526], Loss: 0.5835
Epoch [80/100], Step[245/526], Loss: 0.6072
Epoch [80/100], Step[246/526], Loss: 0.6706
Epoch [80/100], Step[247/526], Loss: 0.5348
Epoch [80/100], Step[248/526], Loss: 0.5602
Epoch [80/100], Step[249/526], Loss: 0.7452
Epoch [80/100], Step[250/526], Loss: 0.7059
Epoch [80/100], Step[251/526], Loss: 0.6504
Epoch [80/100], Step[252/526], Loss: 0.7055
Epoch [80/100], Step[253/526], Loss: 0.6191
Epoch [80/100], Step[254/526], Loss: 0.6487
Epoch [80/100], Step[255/526], Loss: 0.5662
Epoch [80/100], Step[256/526], Loss: 0.6538
Epoch [80/100], Step[257/526], Loss: 0.6540
Epoch [80/100], Step[258/526], Loss: 0.6243
Epoch [80/100], Step[259/526], Loss: 0.7091
Epoch [80/100], Step[260/526], Loss: 0.7650
Epoch [80/100], Step[261/526], Loss: 0.7853
Epoch [80/100], Step[262/526], Loss: 0.6067
Epoch [80/100], Step[263/526], Loss: 0.6657
Epoch [80/100], Step[264/526], Loss: 0.6433
Epoch [80/100], Step[265/526], Loss: 0.4612
Epoch [80/100], Step[266/526], Loss: 0.4593
Epoch [80/100], Step[267/526], Loss: 0.4508
Epoch [80/100], Step[268/526], Loss: 0.5731
Epoch [80/100], Step[269/526], Loss: 0.4434
Epoch [80/100], Step[270/526], Loss: 0.4074
Epoch [80/100], Step[271/526], Loss: 0.5427
Epoch [80/100], Step[272/526], Loss: 0.5398
Epoch [80/100], Step[273/526], Loss: 0.6591
Epoch [80/100], Step[274/526], Loss: 0.4527
Epoch [80/100], Step[275/526], Loss: 0.3863
Epoch [80/100], Step[276/526], Loss: 0.4985
Epoch [80/100], Step[277/526], Loss: 0.3634
Epoch [80/100], Step[278/526], Loss: 0.4704
Epoch [80/100], Step[279/526], Loss: 0.4350
Epoch [80/100], Step[280/526], Loss: 0.4731
Epoch [80/100], Step[281/526], Loss: 0.6778
Epoch [80/100], Step[282/526], Loss: 0.4160
Epoch [80/100], Step[283/526], Loss: 0.3948
Epoch [80/100], Step[284/526], Loss: 0.4395
Epoch [80/100], Step[285/526], Loss: 0.3092
Epoch [80/100], Step[286/526], Loss: 0.7143
Epoch [80/100], Step[287/526], Loss: 0.5266
Epoch [80/100], Step[288/526], Loss: 0.3841
Epoch [80/100], Step[289/526], Loss: 0.5989
Epoch [80/100], Step[290/526], Loss: 0.4387
Epoch [80/100], Step[291/526], Loss: 0.4892
Epoch [80/100], Step[292/526], Loss: 0.2930
Epoch [80/100], Step[293/526], Loss: 0.3179
Epoch [80/100], Step[294/526], Loss: 0.3452
Epoch [80/100], Step[295/526], Loss: 0.4178
Epoch [80/100], Step[296/526], Loss: 0.5874
Epoch [80/100], Step[297/526], Loss: 0.3392
Epoch [80/100], Step[298/526], Loss: 0.2904
Epoch [80/100], Step[299/526], Loss: 0.2352
Epoch [80/100], Step[300/526], Loss: 0.2601
Epoch [80/100], Step[301/526], Loss: 0.6302
Epoch [80/100], Step[302/526], Loss: 0.3677
Epoch [80/100], Step[303/526], Loss: 0.4368
Epoch [80/100], Step[304/526], Loss: 0.2632
Epoch [80/100], Step[305/526], Loss: 0.2540
Epoch [80/100], Step[306/526], Loss: 0.5847
Epoch [80/100], Step[307/526], Loss: 0.9119
Epoch [80/100], Step[308/526], Loss: 1.3066
Epoch [80/100], Step[309/526], Loss: 0.9453
Epoch [80/100], Step[310/526], Loss: 0.9423
Epoch [80/100], Step[311/526], Loss: 0.8420
Epoch [80/100], Step[312/526], Loss: 0.4885
Epoch [80/100], Step[313/526], Loss: 0.4452
Epoch [80/100], Step[314/526], Loss: 0.5910
Epoch [80/100], Step[315/526], Loss: 0.6992
Epoch [80/100], Step[316/526], Loss: 0.4995
Epoch [80/100], Step[317/526], Loss: 0.3268
Epoch [80/100], Step[318/526], Loss: 0.7607
Epoch [80/100], Step[319/526], Loss: 0.3768
Epoch [80/100], Step[320/526], Loss: 0.5997
Epoch [80/100], Step[321/526], Loss: 0.7517
Epoch [80/100], Step[322/526], Loss: 0.3066
Epoch [80/100], Step[323/526], Loss: 0.5998
Epoch [80/100], Step[324/526], Loss: 0.6502
Epoch [80/100], Step[325/526], Loss: 0.5339
Epoch [80/100], Step[326/526], Loss: 0.7827
Epoch [80/100], Step[327/526], Loss: 0.7807
Epoch [80/100], Step[328/526], Loss: 0.9191
Epoch [80/100], Step[329/526], Loss: 1.2722
Epoch [80/100], Step[330/526], Loss: 1.0580
Epoch [80/100], Step[331/526], Loss: 0.8158
Epoch [80/100], Step[332/526], Loss: 0.9358
Epoch [80/100], Step[333/526], Loss: 0.7539
Epoch [80/100], Step[334/526], Loss: 0.8306
Epoch [80/100], Step[335/526], Loss: 0.7467
Epoch [80/100], Step[336/526], Loss: 0.6888
Epoch [80/100], Step[337/526], Loss: 0.5765
Epoch [80/100], Step[338/526], Loss: 0.7281
Epoch [80/100], Step[339/526], Loss: 0.6535
Epoch [80/100], Step[340/526], Loss: 0.7280
Epoch [80/100], Step[341/526], Loss: 0.7278
Epoch [80/100], Step[342/526], Loss: 0.7475
Epoch [80/100], Step[343/526], Loss: 0.5243
Epoch [80/100], Step[344/526], Loss: 0.6926
Epoch [80/100], Step[345/526], Loss: 0.7193
Epoch [80/100], Step[346/526], Loss: 0.6640
Epoch [80/100], Step[347/526], Loss: 0.7194
Epoch [80/100], Step[348/526], Loss: 0.6195
Epoch [80/100], Step[349/526], Loss: 0.5753
Epoch [80/100], Step[350/526], Loss: 0.6424
Epoch [80/100], Step[351/526], Loss: 0.6864
Epoch [80/100], Step[352/526], Loss: 0.6162
Epoch [80/100], Step[353/526], Loss: 0.6677
Epoch [80/100], Step[354/526], Loss: 0.6761
Epoch [80/100], Step[355/526], Loss: 0.6646
Epoch [80/100], Step[356/526], Loss: 0.6929
Epoch [80/100], Step[357/526], Loss: 0.6407
Epoch [80/100], Step[358/526], Loss: 0.7089
Epoch [80/100], Step[359/526], Loss: 0.6346
Epoch [80/100], Step[360/526], Loss: 0.6763
Epoch [80/100], Step[361/526], Loss: 0.7152
Epoch [80/100], Step[362/526], Loss: 0.6951
Epoch [80/100], Step[363/526], Loss: 0.6995
Epoch [80/100], Step[364/526], Loss: 0.7329
Epoch [80/100], Step[365/526], Loss: 0.7303
Epoch [80/100], Step[366/526], Loss: 0.6838
Epoch [80/100], Step[367/526], Loss: 0.6798
Epoch [80/100], Step[368/526], Loss: 0.6560
Epoch [80/100], Step[369/526], Loss: 0.6371
Epoch [80/100], Step[370/526], Loss: 0.8610
Epoch [80/100], Step[371/526], Loss: 0.7376
Epoch [80/100], Step[372/526], Loss: 0.6276
Epoch [80/100], Step[373/526], Loss: 0.6720
Epoch [80/100], Step[374/526], Loss: 0.6986
Epoch [80/100], Step[375/526], Loss: 0.6269
Epoch [80/100], Step[376/526], Loss: 0.6237
Epoch [80/100], Step[377/526], Loss: 0.6884
Epoch [80/100], Step[378/526], Loss: 0.6759
Epoch [80/100], Step[379/526], Loss: 0.8050
Epoch [80/100], Step[380/526], Loss: 0.5992
Epoch [80/100], Step[381/526], Loss: 0.5749
Epoch [80/100], Step[382/526], Loss: 0.6685
Epoch [80/100], Step[383/526], Loss: 0.6864
Epoch [80/100], Step[384/526], Loss: 0.6282
Epoch [80/100], Step[385/526], Loss: 0.6349
Epoch [80/100], Step[386/526], Loss: 0.6300
Epoch [80/100], Step[387/526], Loss: 0.6690
Epoch [80/100], Step[388/526], Loss: 0.5833
Epoch [80/100], Step[389/526], Loss: 0.7438
Epoch [80/100], Step[390/526], Loss: 0.5685
Epoch [80/100], Step[391/526], Loss: 0.6207
Epoch [80/100], Step[392/526], Loss: 0.7304
Epoch [80/100], Step[393/526], Loss: 0.5815
Epoch [80/100], Step[394/526], Loss: 0.5087
Epoch [80/100], Step[395/526], Loss: 0.5866
Epoch [80/100], Step[396/526], Loss: 0.6227
Epoch [80/100], Step[397/526], Loss: 0.4757
Epoch [80/100], Step[398/526], Loss: 0.6079
Epoch [80/100], Step[399/526], Loss: 0.6648
Epoch [80/100], Step[400/526], Loss: 0.4754
Epoch [80/100], Step[401/526], Loss: 0.5956
Epoch [80/100], Step[402/526], Loss: 0.6391
Epoch [80/100], Step[403/526], Loss: 0.7301
Epoch [80/100], Step[404/526], Loss: 0.4727
Epoch [80/100], Step[405/526], Loss: 0.4860
Epoch [80/100], Step[406/526], Loss: 0.6382
Epoch [80/100], Step[407/526], Loss: 0.7672
Epoch [80/100], Step[408/526], Loss: 0.6524
Epoch [80/100], Step[409/526], Loss: 0.4799
Epoch [80/100], Step[410/526], Loss: 0.5073
Epoch [80/100], Step[411/526], Loss: 0.5367
Epoch [80/100], Step[412/526], Loss: 0.6015
Epoch [80/100], Step[413/526], Loss: 0.6080
Epoch [80/100], Step[414/526], Loss: 0.6489
Epoch [80/100], Step[415/526], Loss: 0.5985
Epoch [80/100], Step[416/526], Loss: 0.5892
Epoch [80/100], Step[417/526], Loss: 0.4839
Epoch [80/100], Step[418/526], Loss: 0.7696
Epoch [80/100], Step[419/526], Loss: 0.6743
Epoch [80/100], Step[420/526], Loss: 0.6757
Epoch [80/100], Step[421/526], Loss: 0.6639
Epoch [80/100], Step[422/526], Loss: 0.7549
Epoch [80/100], Step[423/526], Loss: 0.6985
Epoch [80/100], Step[424/526], Loss: 0.7594
Epoch [80/100], Step[425/526], Loss: 0.7089
Epoch [80/100], Step[426/526], Loss: 0.7487
Epoch [80/100], Step[427/526], Loss: 0.7059
Epoch [80/100], Step[428/526], Loss: 0.7095
Epoch [80/100], Step[429/526], Loss: 0.7452
Epoch [80/100], Step[430/526], Loss: 0.7796
Epoch [80/100], Step[431/526], Loss: 0.7096
Epoch [80/100], Step[432/526], Loss: 0.7175
Epoch [80/100], Step[433/526], Loss: 0.6701
Epoch [80/100], Step[434/526], Loss: 0.6035
Epoch [80/100], Step[435/526], Loss: 0.7641
Epoch [80/100], Step[436/526], Loss: 0.8142
Epoch [80/100], Step[437/526], Loss: 0.5028
Epoch [80/100], Step[438/526], Loss: 0.3798
Epoch [80/100], Step[439/526], Loss: 0.7199
Epoch [80/100], Step[440/526], Loss: 0.6848
Epoch [80/100], Step[441/526], Loss: 0.6969
Epoch [80/100], Step[442/526], Loss: 0.6546
Epoch [80/100], Step[443/526], Loss: 0.6682
Epoch [80/100], Step[444/526], Loss: 0.7574
Epoch [80/100], Step[445/526], Loss: 0.7164
Epoch [80/100], Step[446/526], Loss: 0.6976
Epoch [80/100], Step[447/526], Loss: 0.7323
Epoch [80/100], Step[448/526], Loss: 0.7216
Epoch [80/100], Step[449/526], Loss: 0.6696
Epoch [80/100], Step[450/526], Loss: 0.5966
Epoch [80/100], Step[451/526], Loss: 0.6721
Epoch [80/100], Step[452/526], Loss: 0.7327
Epoch [80/100], Step[453/526], Loss: 0.7016
Epoch [80/100], Step[454/526], Loss: 0.8452
Epoch [80/100], Step[455/526], Loss: 0.6282
Epoch [80/100], Step[456/526], Loss: 0.6512
Epoch [80/100], Step[457/526], Loss: 0.6962
Epoch [80/100], Step[458/526], Loss: 0.6859
Epoch [80/100], Step[459/526], Loss: 0.6524
Epoch [80/100], Step[460/526], Loss: 0.6229
Epoch [80/100], Step[461/526], Loss: 0.5868
Epoch [80/100], Step[462/526], Loss: 0.6481
Epoch [80/100], Step[463/526], Loss: 0.6408
Epoch [80/100], Step[464/526], Loss: 0.6129
Epoch [80/100], Step[465/526], Loss: 0.6374
Epoch [80/100], Step[466/526], Loss: 0.6596
Epoch [80/100], Step[467/526], Loss: 0.6439
Epoch [80/100], Step[468/526], Loss: 0.5849
Epoch [80/100], Step[469/526], Loss: 0.8446
Epoch [80/100], Step[470/526], Loss: 0.6659
Epoch [80/100], Step[471/526], Loss: 0.7010
Epoch [80/100], Step[472/526], Loss: 0.6829
Epoch [80/100], Step[473/526], Loss: 0.6803
Epoch [80/100], Step[474/526], Loss: 0.6713
Epoch [80/100], Step[475/526], Loss: 0.8508
Epoch [80/100], Step[476/526], Loss: 0.7371
Epoch [80/100], Step[477/526], Loss: 0.6856
Epoch [80/100], Step[478/526], Loss: 0.6855
Epoch [80/100], Step[479/526], Loss: 0.6610
Epoch [80/100], Step[480/526], Loss: 0.7326
Epoch [80/100], Step[481/526], Loss: 0.7396
Epoch [80/100], Step[482/526], Loss: 0.6494
Epoch [80/100], Step[483/526], Loss: 0.5320
Epoch [80/100], Step[484/526], Loss: 0.7236
Epoch [80/100], Step[485/526], Loss: 0.7671
Epoch [80/100], Step[486/526], Loss: 0.7463
Epoch [80/100], Step[487/526], Loss: 0.7568
Epoch [80/100], Step[488/526], Loss: 0.6710
Epoch [80/100], Step[489/526], Loss: 0.6107
Epoch [80/100], Step[490/526], Loss: 0.5968
Epoch [80/100], Step[491/526], Loss: 0.6792
Epoch [80/100], Step[492/526], Loss: 0.6452
Epoch [80/100], Step[493/526], Loss: 0.6337
Epoch [80/100], Step[494/526], Loss: 0.6827
Epoch [80/100], Step[495/526], Loss: 0.6901
Epoch [80/100], Step[496/526], Loss: 0.6482
Epoch [80/100], Step[497/526], Loss: 0.6218
Epoch [80/100], Step[498/526], Loss: 0.6741
Epoch [80/100], Step[499/526], Loss: 0.6654
Epoch [80/100], Step[500/526], Loss: 0.7193
Epoch [80/100], Step[501/526], Loss: 0.6615
Epoch [80/100], Step[502/526], Loss: 0.7037
Epoch [80/100], Step[503/526], Loss: 0.7121
Epoch [80/100], Step[504/526], Loss: 0.7144
Epoch [80/100], Step[505/526], Loss: 0.7232
Epoch [80/100], Step[506/526], Loss: 0.6530
Epoch [80/100], Step[507/526], Loss: 0.6769
Epoch [80/100], Step[508/526], Loss: 0.7039
Epoch [80/100], Step[509/526], Loss: 0.6317
Epoch [80/100], Step[510/526], Loss: 0.7019
Epoch [80/100], Step[511/526], Loss: 0.6348
Epoch [80/100], Step[512/526], Loss: 0.6595
Epoch [80/100], Step[513/526], Loss: 0.6411
Epoch [80/100], Step[514/526], Loss: 0.6568
Epoch [80/100], Step[515/526], Loss: 0.6091
Epoch [80/100], Step[516/526], Loss: 0.7554
Epoch [80/100], Step[517/526], Loss: 0.6904
Epoch [80/100], Step[518/526], Loss: 0.7353
Epoch [80/100], Step[519/526], Loss: 0.7208
Epoch [80/100], Step[520/526], Loss: 0.6874
Epoch [80/100], Step[521/526], Loss: 0.6529
Epoch [80/100], Step[522/526], Loss: 0.5865
Epoch [80/100], Step[523/526], Loss: 0.6423
Epoch [80/100], Step[524/526], Loss: 0.6203
Epoch [80/100], Step[525/526], Loss: 0.7644
Epoch [80/100], Step[526/526], Loss: 0.7117
Epoch [81/100], Step[1/526], Loss: 0.6565
Epoch [81/100], Step[2/526], Loss: 0.6482
Epoch [81/100], Step[3/526], Loss: 0.6612
Epoch [81/100], Step[4/526], Loss: 0.6332
Epoch [81/100], Step[5/526], Loss: 0.7485
Epoch [81/100], Step[6/526], Loss: 0.7519
Epoch [81/100], Step[7/526], Loss: 0.6923
Epoch [81/100], Step[8/526], Loss: 0.6744
Epoch [81/100], Step[9/526], Loss: 0.6970
Epoch [81/100], Step[10/526], Loss: 0.6601
Epoch [81/100], Step[11/526], Loss: 0.6877
Epoch [81/100], Step[12/526], Loss: 0.7368
Epoch [81/100], Step[13/526], Loss: 0.6069
Epoch [81/100], Step[14/526], Loss: 0.6621
Epoch [81/100], Step[15/526], Loss: 0.6774
Epoch [81/100], Step[16/526], Loss: 0.7118
Epoch [81/100], Step[17/526], Loss: 0.7193
Epoch [81/100], Step[18/526], Loss: 0.6595
Epoch [81/100], Step[19/526], Loss: 0.7082
Epoch [81/100], Step[20/526], Loss: 0.7515
Epoch [81/100], Step[21/526], Loss: 0.7653
Epoch [81/100], Step[22/526], Loss: 0.7411
Epoch [81/100], Step[23/526], Loss: 0.7459
Epoch [81/100], Step[24/526], Loss: 0.7230
Epoch [81/100], Step[25/526], Loss: 0.6960
Epoch [81/100], Step[26/526], Loss: 0.6076
Epoch [81/100], Step[27/526], Loss: 0.6732
Epoch [81/100], Step[28/526], Loss: 0.6934
Epoch [81/100], Step[29/526], Loss: 0.6421
Epoch [81/100], Step[30/526], Loss: 0.6953
Epoch [81/100], Step[31/526], Loss: 0.7027
Epoch [81/100], Step[32/526], Loss: 0.6522
Epoch [81/100], Step[33/526], Loss: 0.7164
Epoch [81/100], Step[34/526], Loss: 0.7028
Epoch [81/100], Step[35/526], Loss: 0.7313
Epoch [81/100], Step[36/526], Loss: 0.7060
Epoch [81/100], Step[37/526], Loss: 0.6881
Epoch [81/100], Step[38/526], Loss: 0.7187
Epoch [81/100], Step[39/526], Loss: 0.6840
Epoch [81/100], Step[40/526], Loss: 0.7073
Epoch [81/100], Step[41/526], Loss: 0.6599
Epoch [81/100], Step[42/526], Loss: 0.7289
Epoch [81/100], Step[43/526], Loss: 0.7109
Epoch [81/100], Step[44/526], Loss: 0.6937
Epoch [81/100], Step[45/526], Loss: 0.6962
Epoch [81/100], Step[46/526], Loss: 0.6918
Epoch [81/100], Step[47/526], Loss: 0.6893
Epoch [81/100], Step[48/526], Loss: 0.7269
Epoch [81/100], Step[49/526], Loss: 0.7008
Epoch [81/100], Step[50/526], Loss: 0.6906
Epoch [81/100], Step[51/526], Loss: 0.6983
Epoch [81/100], Step[52/526], Loss: 0.6726
Epoch [81/100], Step[53/526], Loss: 0.7125
Epoch [81/100], Step[54/526], Loss: 0.7029
Epoch [81/100], Step[55/526], Loss: 0.7325
Epoch [81/100], Step[56/526], Loss: 0.6765
Epoch [81/100], Step[57/526], Loss: 0.6886
Epoch [81/100], Step[58/526], Loss: 0.6665
Epoch [81/100], Step[59/526], Loss: 0.6512
Epoch [81/100], Step[60/526], Loss: 0.6587
Epoch [81/100], Step[61/526], Loss: 0.6723
Epoch [81/100], Step[62/526], Loss: 0.7042
Epoch [81/100], Step[63/526], Loss: 0.6895
Epoch [81/100], Step[64/526], Loss: 0.6769
Epoch [81/100], Step[65/526], Loss: 0.7204
Epoch [81/100], Step[66/526], Loss: 0.6794
Epoch [81/100], Step[67/526], Loss: 0.6300
Epoch [81/100], Step[68/526], Loss: 0.6548
Epoch [81/100], Step[69/526], Loss: 0.6895
Epoch [81/100], Step[70/526], Loss: 0.6847
Epoch [81/100], Step[71/526], Loss: 0.6646
Epoch [81/100], Step[72/526], Loss: 0.6783
Epoch [81/100], Step[73/526], Loss: 0.7188
Epoch [81/100], Step[74/526], Loss: 0.6574
Epoch [81/100], Step[75/526], Loss: 0.7012
Epoch [81/100], Step[76/526], Loss: 0.6915
Epoch [81/100], Step[77/526], Loss: 0.7067
Epoch [81/100], Step[78/526], Loss: 0.7116
Epoch [81/100], Step[79/526], Loss: 0.6975
Epoch [81/100], Step[80/526], Loss: 0.7021
Epoch [81/100], Step[81/526], Loss: 0.6920
Epoch [81/100], Step[82/526], Loss: 0.7164
Epoch [81/100], Step[83/526], Loss: 0.7026
Epoch [81/100], Step[84/526], Loss: 0.6818
Epoch [81/100], Step[85/526], Loss: 0.6612
Epoch [81/100], Step[86/526], Loss: 0.6811
Epoch [81/100], Step[87/526], Loss: 0.6892
Epoch [81/100], Step[88/526], Loss: 0.6896
Epoch [81/100], Step[89/526], Loss: 0.7296
Epoch [81/100], Step[90/526], Loss: 0.6680
Epoch [81/100], Step[91/526], Loss: 0.6885
Epoch [81/100], Step[92/526], Loss: 0.6626
Epoch [81/100], Step[93/526], Loss: 0.6939
Epoch [81/100], Step[94/526], Loss: 0.8004
Epoch [81/100], Step[95/526], Loss: 0.7128
Epoch [81/100], Step[96/526], Loss: 0.6055
Epoch [81/100], Step[97/526], Loss: 0.5842
Epoch [81/100], Step[98/526], Loss: 0.6890
Epoch [81/100], Step[99/526], Loss: 0.6781
Epoch [81/100], Step[100/526], Loss: 0.6552
Epoch [81/100], Step[101/526], Loss: 0.6592
Epoch [81/100], Step[102/526], Loss: 0.6281
Epoch [81/100], Step[103/526], Loss: 0.7173
Epoch [81/100], Step[104/526], Loss: 0.6592
Epoch [81/100], Step[105/526], Loss: 0.6219
Epoch [81/100], Step[106/526], Loss: 0.6843
Epoch [81/100], Step[107/526], Loss: 0.6103
Epoch [81/100], Step[108/526], Loss: 0.5851
Epoch [81/100], Step[109/526], Loss: 0.6551
Epoch [81/100], Step[110/526], Loss: 0.6823
Epoch [81/100], Step[111/526], Loss: 0.5974
Epoch [81/100], Step[112/526], Loss: 0.7410
Epoch [81/100], Step[113/526], Loss: 0.6066
Epoch [81/100], Step[114/526], Loss: 0.6515
Epoch [81/100], Step[115/526], Loss: 0.5890
Epoch [81/100], Step[116/526], Loss: 0.6339
Epoch [81/100], Step[117/526], Loss: 0.6929
Epoch [81/100], Step[118/526], Loss: 0.7599
Epoch [81/100], Step[119/526], Loss: 0.6806
Epoch [81/100], Step[120/526], Loss: 0.6717
Epoch [81/100], Step[121/526], Loss: 0.7061
Epoch [81/100], Step[122/526], Loss: 0.6153
Epoch [81/100], Step[123/526], Loss: 0.6559
Epoch [81/100], Step[124/526], Loss: 0.6696
Epoch [81/100], Step[125/526], Loss: 0.6372
Epoch [81/100], Step[126/526], Loss: 0.7121
Epoch [81/100], Step[127/526], Loss: 0.6617
Epoch [81/100], Step[128/526], Loss: 0.6281
Epoch [81/100], Step[129/526], Loss: 0.6070
Epoch [81/100], Step[130/526], Loss: 0.6581
Epoch [81/100], Step[131/526], Loss: 0.6622
Epoch [81/100], Step[132/526], Loss: 0.7056
Epoch [81/100], Step[133/526], Loss: 0.6751
Epoch [81/100], Step[134/526], Loss: 0.6319
Epoch [81/100], Step[135/526], Loss: 0.6379
Epoch [81/100], Step[136/526], Loss: 0.5604
Epoch [81/100], Step[137/526], Loss: 0.6418
Epoch [81/100], Step[138/526], Loss: 0.6443
Epoch [81/100], Step[139/526], Loss: 0.6860
Epoch [81/100], Step[140/526], Loss: 0.5931
Epoch [81/100], Step[141/526], Loss: 0.6638
Epoch [81/100], Step[142/526], Loss: 0.6766
Epoch [81/100], Step[143/526], Loss: 0.6951
Epoch [81/100], Step[144/526], Loss: 0.7567
Epoch [81/100], Step[145/526], Loss: 0.5054
Epoch [81/100], Step[146/526], Loss: 0.5037
Epoch [81/100], Step[147/526], Loss: 0.5011
Epoch [81/100], Step[148/526], Loss: 0.5984
Epoch [81/100], Step[149/526], Loss: 0.4836
Epoch [81/100], Step[150/526], Loss: 0.5676
Epoch [81/100], Step[151/526], Loss: 0.5499
Epoch [81/100], Step[152/526], Loss: 0.6384
Epoch [81/100], Step[153/526], Loss: 0.6494
Epoch [81/100], Step[154/526], Loss: 0.6691
Epoch [81/100], Step[155/526], Loss: 0.6871
Epoch [81/100], Step[156/526], Loss: 0.5633
Epoch [81/100], Step[157/526], Loss: 0.2954
Epoch [81/100], Step[158/526], Loss: 0.6059
Epoch [81/100], Step[159/526], Loss: 0.6387
Epoch [81/100], Step[160/526], Loss: 0.5641
Epoch [81/100], Step[161/526], Loss: 0.7919
Epoch [81/100], Step[162/526], Loss: 0.7235
Epoch [81/100], Step[163/526], Loss: 0.7141
Epoch [81/100], Step[164/526], Loss: 0.6100
Epoch [81/100], Step[165/526], Loss: 0.7179
Epoch [81/100], Step[166/526], Loss: 0.5444
Epoch [81/100], Step[167/526], Loss: 0.5625
Epoch [81/100], Step[168/526], Loss: 0.6817
Epoch [81/100], Step[169/526], Loss: 0.7204
Epoch [81/100], Step[170/526], Loss: 0.7234
Epoch [81/100], Step[171/526], Loss: 0.7382
Epoch [81/100], Step[172/526], Loss: 0.7183
Epoch [81/100], Step[173/526], Loss: 0.8101
Epoch [81/100], Step[174/526], Loss: 0.6337
Epoch [81/100], Step[175/526], Loss: 0.6605
Epoch [81/100], Step[176/526], Loss: 0.6414
Epoch [81/100], Step[177/526], Loss: 0.6680
Epoch [81/100], Step[178/526], Loss: 0.6939
Epoch [81/100], Step[179/526], Loss: 0.6299
Epoch [81/100], Step[180/526], Loss: 0.6569
Epoch [81/100], Step[181/526], Loss: 0.6611
Epoch [81/100], Step[182/526], Loss: 0.6721
Epoch [81/100], Step[183/526], Loss: 0.5550
Epoch [81/100], Step[184/526], Loss: 0.5698
Epoch [81/100], Step[185/526], Loss: 0.5985
Epoch [81/100], Step[186/526], Loss: 0.6283
Epoch [81/100], Step[187/526], Loss: 0.7564
Epoch [81/100], Step[188/526], Loss: 0.7347
Epoch [81/100], Step[189/526], Loss: 0.6650
Epoch [81/100], Step[190/526], Loss: 0.6813
Epoch [81/100], Step[191/526], Loss: 0.6934
Epoch [81/100], Step[192/526], Loss: 0.7935
Epoch [81/100], Step[193/526], Loss: 0.5947
Epoch [81/100], Step[194/526], Loss: 0.6112
Epoch [81/100], Step[195/526], Loss: 0.6133
Epoch [81/100], Step[196/526], Loss: 0.7111
Epoch [81/100], Step[197/526], Loss: 0.6278
Epoch [81/100], Step[198/526], Loss: 0.5945
Epoch [81/100], Step[199/526], Loss: 0.7256
Epoch [81/100], Step[200/526], Loss: 0.6530
Epoch [81/100], Step[201/526], Loss: 0.6885
Epoch [81/100], Step[202/526], Loss: 0.8170
Epoch [81/100], Step[203/526], Loss: 0.6593
Epoch [81/100], Step[204/526], Loss: 0.7916
Epoch [81/100], Step[205/526], Loss: 0.6949
Epoch [81/100], Step[206/526], Loss: 0.6931
Epoch [81/100], Step[207/526], Loss: 0.6955
Epoch [81/100], Step[208/526], Loss: 0.6959
Epoch [81/100], Step[209/526], Loss: 0.7086
Epoch [81/100], Step[210/526], Loss: 0.7705
Epoch [81/100], Step[211/526], Loss: 0.6272
Epoch [81/100], Step[212/526], Loss: 0.7028
Epoch [81/100], Step[213/526], Loss: 0.7190
Epoch [81/100], Step[214/526], Loss: 0.6933
Epoch [81/100], Step[215/526], Loss: 0.6983
Epoch [81/100], Step[216/526], Loss: 0.6899
Epoch [81/100], Step[217/526], Loss: 0.6581
Epoch [81/100], Step[218/526], Loss: 0.6936
Epoch [81/100], Step[219/526], Loss: 0.6864
Epoch [81/100], Step[220/526], Loss: 0.7195
Epoch [81/100], Step[221/526], Loss: 0.6816
Epoch [81/100], Step[222/526], Loss: 0.7222
Epoch [81/100], Step[223/526], Loss: 0.6219
Epoch [81/100], Step[224/526], Loss: 0.6607
Epoch [81/100], Step[225/526], Loss: 0.6816
Epoch [81/100], Step[226/526], Loss: 0.6556
Epoch [81/100], Step[227/526], Loss: 0.6730
Epoch [81/100], Step[228/526], Loss: 0.6891
Epoch [81/100], Step[229/526], Loss: 0.7134
Epoch [81/100], Step[230/526], Loss: 0.6432
Epoch [81/100], Step[231/526], Loss: 0.6340
Epoch [81/100], Step[232/526], Loss: 0.6253
Epoch [81/100], Step[233/526], Loss: 0.6885
Epoch [81/100], Step[234/526], Loss: 0.6223
Epoch [81/100], Step[235/526], Loss: 0.6959
Epoch [81/100], Step[236/526], Loss: 0.6828
Epoch [81/100], Step[237/526], Loss: 0.7060
Epoch [81/100], Step[238/526], Loss: 0.6027
Epoch [81/100], Step[239/526], Loss: 0.6485
Epoch [81/100], Step[240/526], Loss: 0.6688
Epoch [81/100], Step[241/526], Loss: 0.6527
Epoch [81/100], Step[242/526], Loss: 0.6612
Epoch [81/100], Step[243/526], Loss: 0.6429
Epoch [81/100], Step[244/526], Loss: 0.5807
Epoch [81/100], Step[245/526], Loss: 0.6039
Epoch [81/100], Step[246/526], Loss: 0.6675
Epoch [81/100], Step[247/526], Loss: 0.5322
Epoch [81/100], Step[248/526], Loss: 0.5587
Epoch [81/100], Step[249/526], Loss: 0.7452
Epoch [81/100], Step[250/526], Loss: 0.7095
Epoch [81/100], Step[251/526], Loss: 0.6510
Epoch [81/100], Step[252/526], Loss: 0.7026
Epoch [81/100], Step[253/526], Loss: 0.6205
Epoch [81/100], Step[254/526], Loss: 0.6505
Epoch [81/100], Step[255/526], Loss: 0.5689
Epoch [81/100], Step[256/526], Loss: 0.6583
Epoch [81/100], Step[257/526], Loss: 0.6497
Epoch [81/100], Step[258/526], Loss: 0.6273
Epoch [81/100], Step[259/526], Loss: 0.7129
Epoch [81/100], Step[260/526], Loss: 0.7540
Epoch [81/100], Step[261/526], Loss: 0.7764
Epoch [81/100], Step[262/526], Loss: 0.6028
Epoch [81/100], Step[263/526], Loss: 0.6616
Epoch [81/100], Step[264/526], Loss: 0.6366
Epoch [81/100], Step[265/526], Loss: 0.4552
Epoch [81/100], Step[266/526], Loss: 0.4554
Epoch [81/100], Step[267/526], Loss: 0.4491
Epoch [81/100], Step[268/526], Loss: 0.5779
Epoch [81/100], Step[269/526], Loss: 0.4479
Epoch [81/100], Step[270/526], Loss: 0.4105
Epoch [81/100], Step[271/526], Loss: 0.5428
Epoch [81/100], Step[272/526], Loss: 0.5357
Epoch [81/100], Step[273/526], Loss: 0.6609
Epoch [81/100], Step[274/526], Loss: 0.4503
Epoch [81/100], Step[275/526], Loss: 0.3886
Epoch [81/100], Step[276/526], Loss: 0.5034
Epoch [81/100], Step[277/526], Loss: 0.3659
Epoch [81/100], Step[278/526], Loss: 0.4672
Epoch [81/100], Step[279/526], Loss: 0.4345
Epoch [81/100], Step[280/526], Loss: 0.4689
Epoch [81/100], Step[281/526], Loss: 0.6698
Epoch [81/100], Step[282/526], Loss: 0.4144
Epoch [81/100], Step[283/526], Loss: 0.3950
Epoch [81/100], Step[284/526], Loss: 0.4396
Epoch [81/100], Step[285/526], Loss: 0.3065
Epoch [81/100], Step[286/526], Loss: 0.7191
Epoch [81/100], Step[287/526], Loss: 0.5169
Epoch [81/100], Step[288/526], Loss: 0.3874
Epoch [81/100], Step[289/526], Loss: 0.6025
Epoch [81/100], Step[290/526], Loss: 0.4430
Epoch [81/100], Step[291/526], Loss: 0.4795
Epoch [81/100], Step[292/526], Loss: 0.2926
Epoch [81/100], Step[293/526], Loss: 0.3120
Epoch [81/100], Step[294/526], Loss: 0.3427
Epoch [81/100], Step[295/526], Loss: 0.4245
Epoch [81/100], Step[296/526], Loss: 0.5919
Epoch [81/100], Step[297/526], Loss: 0.3416
Epoch [81/100], Step[298/526], Loss: 0.2873
Epoch [81/100], Step[299/526], Loss: 0.2419
Epoch [81/100], Step[300/526], Loss: 0.2622
Epoch [81/100], Step[301/526], Loss: 0.6326
Epoch [81/100], Step[302/526], Loss: 0.3665
Epoch [81/100], Step[303/526], Loss: 0.4360
Epoch [81/100], Step[304/526], Loss: 0.2640
Epoch [81/100], Step[305/526], Loss: 0.2565
Epoch [81/100], Step[306/526], Loss: 0.5800
Epoch [81/100], Step[307/526], Loss: 0.9164
Epoch [81/100], Step[308/526], Loss: 1.3216
Epoch [81/100], Step[309/526], Loss: 1.0189
Epoch [81/100], Step[310/526], Loss: 0.9445
Epoch [81/100], Step[311/526], Loss: 0.8411
Epoch [81/100], Step[312/526], Loss: 0.4875
Epoch [81/100], Step[313/526], Loss: 0.4240
Epoch [81/100], Step[314/526], Loss: 0.5950
Epoch [81/100], Step[315/526], Loss: 0.7313
Epoch [81/100], Step[316/526], Loss: 0.5049
Epoch [81/100], Step[317/526], Loss: 0.3258
Epoch [81/100], Step[318/526], Loss: 0.7613
Epoch [81/100], Step[319/526], Loss: 0.3769
Epoch [81/100], Step[320/526], Loss: 0.6240
Epoch [81/100], Step[321/526], Loss: 0.7598
Epoch [81/100], Step[322/526], Loss: 0.2653
Epoch [81/100], Step[323/526], Loss: 0.5940
Epoch [81/100], Step[324/526], Loss: 0.6496
Epoch [81/100], Step[325/526], Loss: 0.5311
Epoch [81/100], Step[326/526], Loss: 0.7889
Epoch [81/100], Step[327/526], Loss: 0.7767
Epoch [81/100], Step[328/526], Loss: 0.9261
Epoch [81/100], Step[329/526], Loss: 1.2910
Epoch [81/100], Step[330/526], Loss: 1.0613
Epoch [81/100], Step[331/526], Loss: 0.8139
Epoch [81/100], Step[332/526], Loss: 0.9531
Epoch [81/100], Step[333/526], Loss: 0.7593
Epoch [81/100], Step[334/526], Loss: 0.8326
Epoch [81/100], Step[335/526], Loss: 0.7421
Epoch [81/100], Step[336/526], Loss: 0.6983
Epoch [81/100], Step[337/526], Loss: 0.5798
Epoch [81/100], Step[338/526], Loss: 0.7257
Epoch [81/100], Step[339/526], Loss: 0.6604
Epoch [81/100], Step[340/526], Loss: 0.7276
Epoch [81/100], Step[341/526], Loss: 0.7284
Epoch [81/100], Step[342/526], Loss: 0.7507
Epoch [81/100], Step[343/526], Loss: 0.5251
Epoch [81/100], Step[344/526], Loss: 0.6907
Epoch [81/100], Step[345/526], Loss: 0.7202
Epoch [81/100], Step[346/526], Loss: 0.6700
Epoch [81/100], Step[347/526], Loss: 0.7192
Epoch [81/100], Step[348/526], Loss: 0.6222
Epoch [81/100], Step[349/526], Loss: 0.5762
Epoch [81/100], Step[350/526], Loss: 0.6455
Epoch [81/100], Step[351/526], Loss: 0.6876
Epoch [81/100], Step[352/526], Loss: 0.6274
Epoch [81/100], Step[353/526], Loss: 0.6667
Epoch [81/100], Step[354/526], Loss: 0.6778
Epoch [81/100], Step[355/526], Loss: 0.6655
Epoch [81/100], Step[356/526], Loss: 0.6908
Epoch [81/100], Step[357/526], Loss: 0.6381
Epoch [81/100], Step[358/526], Loss: 0.7076
Epoch [81/100], Step[359/526], Loss: 0.6337
Epoch [81/100], Step[360/526], Loss: 0.6762
Epoch [81/100], Step[361/526], Loss: 0.7119
Epoch [81/100], Step[362/526], Loss: 0.6956
Epoch [81/100], Step[363/526], Loss: 0.7003
Epoch [81/100], Step[364/526], Loss: 0.7313
Epoch [81/100], Step[365/526], Loss: 0.7283
Epoch [81/100], Step[366/526], Loss: 0.6822
Epoch [81/100], Step[367/526], Loss: 0.6774
Epoch [81/100], Step[368/526], Loss: 0.6575
Epoch [81/100], Step[369/526], Loss: 0.6330
Epoch [81/100], Step[370/526], Loss: 0.5556
Epoch [81/100], Step[371/526], Loss: 0.7380
Epoch [81/100], Step[372/526], Loss: 0.6292
Epoch [81/100], Step[373/526], Loss: 0.6723
Epoch [81/100], Step[374/526], Loss: 0.6986
Epoch [81/100], Step[375/526], Loss: 0.6261
Epoch [81/100], Step[376/526], Loss: 0.6239
Epoch [81/100], Step[377/526], Loss: 0.6857
Epoch [81/100], Step[378/526], Loss: 0.6739
Epoch [81/100], Step[379/526], Loss: 0.8031
Epoch [81/100], Step[380/526], Loss: 0.5983
Epoch [81/100], Step[381/526], Loss: 0.5754
Epoch [81/100], Step[382/526], Loss: 0.6675
Epoch [81/100], Step[383/526], Loss: 0.6841
Epoch [81/100], Step[384/526], Loss: 0.6283
Epoch [81/100], Step[385/526], Loss: 0.6348
Epoch [81/100], Step[386/526], Loss: 0.6243
Epoch [81/100], Step[387/526], Loss: 0.6660
Epoch [81/100], Step[388/526], Loss: 0.5815
Epoch [81/100], Step[389/526], Loss: 0.7408
Epoch [81/100], Step[390/526], Loss: 0.5694
Epoch [81/100], Step[391/526], Loss: 0.6188
Epoch [81/100], Step[392/526], Loss: 0.7324
Epoch [81/100], Step[393/526], Loss: 0.5816
Epoch [81/100], Step[394/526], Loss: 0.5090
Epoch [81/100], Step[395/526], Loss: 0.5910
Epoch [81/100], Step[396/526], Loss: 0.6228
Epoch [81/100], Step[397/526], Loss: 0.4771
Epoch [81/100], Step[398/526], Loss: 0.6079
Epoch [81/100], Step[399/526], Loss: 0.6655
Epoch [81/100], Step[400/526], Loss: 0.4749
Epoch [81/100], Step[401/526], Loss: 0.5952
Epoch [81/100], Step[402/526], Loss: 0.6399
Epoch [81/100], Step[403/526], Loss: 0.7280
Epoch [81/100], Step[404/526], Loss: 0.4733
Epoch [81/100], Step[405/526], Loss: 0.4855
Epoch [81/100], Step[406/526], Loss: 0.6391
Epoch [81/100], Step[407/526], Loss: 0.7661
Epoch [81/100], Step[408/526], Loss: 0.6528
Epoch [81/100], Step[409/526], Loss: 0.4776
Epoch [81/100], Step[410/526], Loss: 0.5073
Epoch [81/100], Step[411/526], Loss: 0.5364
Epoch [81/100], Step[412/526], Loss: 0.6019
Epoch [81/100], Step[413/526], Loss: 0.6089
Epoch [81/100], Step[414/526], Loss: 0.6499
Epoch [81/100], Step[415/526], Loss: 0.5986
Epoch [81/100], Step[416/526], Loss: 0.5917
Epoch [81/100], Step[417/526], Loss: 0.4865
Epoch [81/100], Step[418/526], Loss: 0.7731
Epoch [81/100], Step[419/526], Loss: 0.6723
Epoch [81/100], Step[420/526], Loss: 0.6772
Epoch [81/100], Step[421/526], Loss: 0.6636
Epoch [81/100], Step[422/526], Loss: 0.7569
Epoch [81/100], Step[423/526], Loss: 0.6996
Epoch [81/100], Step[424/526], Loss: 0.7587
Epoch [81/100], Step[425/526], Loss: 0.7089
Epoch [81/100], Step[426/526], Loss: 0.7476
Epoch [81/100], Step[427/526], Loss: 0.7045
Epoch [81/100], Step[428/526], Loss: 0.7078
Epoch [81/100], Step[429/526], Loss: 0.7468
Epoch [81/100], Step[430/526], Loss: 0.7798
Epoch [81/100], Step[431/526], Loss: 0.7092
Epoch [81/100], Step[432/526], Loss: 0.7162
Epoch [81/100], Step[433/526], Loss: 0.6693
Epoch [81/100], Step[434/526], Loss: 0.6022
Epoch [81/100], Step[435/526], Loss: 0.7635
Epoch [81/100], Step[436/526], Loss: 0.8147
Epoch [81/100], Step[437/526], Loss: 0.4943
Epoch [81/100], Step[438/526], Loss: 0.3810
Epoch [81/100], Step[439/526], Loss: 0.7198
Epoch [81/100], Step[440/526], Loss: 0.6810
Epoch [81/100], Step[441/526], Loss: 0.7001
Epoch [81/100], Step[442/526], Loss: 0.6550
Epoch [81/100], Step[443/526], Loss: 0.6685
Epoch [81/100], Step[444/526], Loss: 0.7578
Epoch [81/100], Step[445/526], Loss: 0.7168
Epoch [81/100], Step[446/526], Loss: 0.6945
Epoch [81/100], Step[447/526], Loss: 0.7323
Epoch [81/100], Step[448/526], Loss: 0.7218
Epoch [81/100], Step[449/526], Loss: 0.6695
Epoch [81/100], Step[450/526], Loss: 0.5981
Epoch [81/100], Step[451/526], Loss: 0.6723
Epoch [81/100], Step[452/526], Loss: 0.7333
Epoch [81/100], Step[453/526], Loss: 0.7026
Epoch [81/100], Step[454/526], Loss: 0.8423
Epoch [81/100], Step[455/526], Loss: 0.6258
Epoch [81/100], Step[456/526], Loss: 0.6262
Epoch [81/100], Step[457/526], Loss: 0.6978
Epoch [81/100], Step[458/526], Loss: 0.6838
Epoch [81/100], Step[459/526], Loss: 0.6508
Epoch [81/100], Step[460/526], Loss: 0.6177
Epoch [81/100], Step[461/526], Loss: 0.5849
Epoch [81/100], Step[462/526], Loss: 0.6459
Epoch [81/100], Step[463/526], Loss: 0.6373
Epoch [81/100], Step[464/526], Loss: 0.6099
Epoch [81/100], Step[465/526], Loss: 0.6363
Epoch [81/100], Step[466/526], Loss: 0.6586
Epoch [81/100], Step[467/526], Loss: 0.6400
Epoch [81/100], Step[468/526], Loss: 0.5826
Epoch [81/100], Step[469/526], Loss: 0.8500
Epoch [81/100], Step[470/526], Loss: 0.6652
Epoch [81/100], Step[471/526], Loss: 0.7025
Epoch [81/100], Step[472/526], Loss: 0.6815
Epoch [81/100], Step[473/526], Loss: 0.6792
Epoch [81/100], Step[474/526], Loss: 0.6707
Epoch [81/100], Step[475/526], Loss: 0.8540
Epoch [81/100], Step[476/526], Loss: 0.7397
Epoch [81/100], Step[477/526], Loss: 0.6845
Epoch [81/100], Step[478/526], Loss: 0.6893
Epoch [81/100], Step[479/526], Loss: 0.6624
Epoch [81/100], Step[480/526], Loss: 0.7343
Epoch [81/100], Step[481/526], Loss: 0.7397
Epoch [81/100], Step[482/526], Loss: 0.6507
Epoch [81/100], Step[483/526], Loss: 0.5310
Epoch [81/100], Step[484/526], Loss: 0.7238
Epoch [81/100], Step[485/526], Loss: 0.7689
Epoch [81/100], Step[486/526], Loss: 0.7473
Epoch [81/100], Step[487/526], Loss: 0.7588
Epoch [81/100], Step[488/526], Loss: 0.6705
Epoch [81/100], Step[489/526], Loss: 0.6105
Epoch [81/100], Step[490/526], Loss: 0.5931
Epoch [81/100], Step[491/526], Loss: 0.6726
Epoch [81/100], Step[492/526], Loss: 0.6440
Epoch [81/100], Step[493/526], Loss: 0.6336
Epoch [81/100], Step[494/526], Loss: 0.6839
Epoch [81/100], Step[495/526], Loss: 0.6895
Epoch [81/100], Step[496/526], Loss: 0.6478
Epoch [81/100], Step[497/526], Loss: 0.6224
Epoch [81/100], Step[498/526], Loss: 0.6747
Epoch [81/100], Step[499/526], Loss: 0.6635
Epoch [81/100], Step[500/526], Loss: 0.7169
Epoch [81/100], Step[501/526], Loss: 0.6635
Epoch [81/100], Step[502/526], Loss: 0.7016
Epoch [81/100], Step[503/526], Loss: 0.7110
Epoch [81/100], Step[504/526], Loss: 0.7106
Epoch [81/100], Step[505/526], Loss: 0.7242
Epoch [81/100], Step[506/526], Loss: 0.6541
Epoch [81/100], Step[507/526], Loss: 0.6780
Epoch [81/100], Step[508/526], Loss: 0.7044
Epoch [81/100], Step[509/526], Loss: 0.6313
Epoch [81/100], Step[510/526], Loss: 0.7018
Epoch [81/100], Step[511/526], Loss: 0.6340
Epoch [81/100], Step[512/526], Loss: 0.6587
Epoch [81/100], Step[513/526], Loss: 0.6394
Epoch [81/100], Step[514/526], Loss: 0.6559
Epoch [81/100], Step[515/526], Loss: 0.5763
Epoch [81/100], Step[516/526], Loss: 0.7555
Epoch [81/100], Step[517/526], Loss: 0.6899
Epoch [81/100], Step[518/526], Loss: 0.7370
Epoch [81/100], Step[519/526], Loss: 0.7216
Epoch [81/100], Step[520/526], Loss: 0.6881
Epoch [81/100], Step[521/526], Loss: 0.6547
Epoch [81/100], Step[522/526], Loss: 0.5809
Epoch [81/100], Step[523/526], Loss: 0.6429
Epoch [81/100], Step[524/526], Loss: 0.6194
Epoch [81/100], Step[525/526], Loss: 0.7654
Epoch [81/100], Step[526/526], Loss: 0.7156
Epoch [82/100], Step[1/526], Loss: 0.6555
Epoch [82/100], Step[2/526], Loss: 0.6461
Epoch [82/100], Step[3/526], Loss: 0.6603
Epoch [82/100], Step[4/526], Loss: 0.6322
Epoch [82/100], Step[5/526], Loss: 0.7455
Epoch [82/100], Step[6/526], Loss: 0.7521
Epoch [82/100], Step[7/526], Loss: 0.6877
Epoch [82/100], Step[8/526], Loss: 0.6748
Epoch [82/100], Step[9/526], Loss: 0.6977
Epoch [82/100], Step[10/526], Loss: 0.6557
Epoch [82/100], Step[11/526], Loss: 0.6889
Epoch [82/100], Step[12/526], Loss: 0.7419
Epoch [82/100], Step[13/526], Loss: 0.6066
Epoch [82/100], Step[14/526], Loss: 0.6617
Epoch [82/100], Step[15/526], Loss: 0.6755
Epoch [82/100], Step[16/526], Loss: 0.7125
Epoch [82/100], Step[17/526], Loss: 0.7194
Epoch [82/100], Step[18/526], Loss: 0.6562
Epoch [82/100], Step[19/526], Loss: 0.6996
Epoch [82/100], Step[20/526], Loss: 0.7580
Epoch [82/100], Step[21/526], Loss: 0.7674
Epoch [82/100], Step[22/526], Loss: 0.7460
Epoch [82/100], Step[23/526], Loss: 0.7441
Epoch [82/100], Step[24/526], Loss: 0.7241
Epoch [82/100], Step[25/526], Loss: 0.6969
Epoch [82/100], Step[26/526], Loss: 0.6113
Epoch [82/100], Step[27/526], Loss: 0.6756
Epoch [82/100], Step[28/526], Loss: 0.6949
Epoch [82/100], Step[29/526], Loss: 0.6431
Epoch [82/100], Step[30/526], Loss: 0.6907
Epoch [82/100], Step[31/526], Loss: 0.7040
Epoch [82/100], Step[32/526], Loss: 0.6590
Epoch [82/100], Step[33/526], Loss: 0.7152
Epoch [82/100], Step[34/526], Loss: 0.7041
Epoch [82/100], Step[35/526], Loss: 0.7333
Epoch [82/100], Step[36/526], Loss: 0.7120
Epoch [82/100], Step[37/526], Loss: 0.6874
Epoch [82/100], Step[38/526], Loss: 0.7198
Epoch [82/100], Step[39/526], Loss: 0.6831
Epoch [82/100], Step[40/526], Loss: 0.7115
Epoch [82/100], Step[41/526], Loss: 0.6617
Epoch [82/100], Step[42/526], Loss: 0.7283
Epoch [82/100], Step[43/526], Loss: 0.7105
Epoch [82/100], Step[44/526], Loss: 0.6948
Epoch [82/100], Step[45/526], Loss: 0.6967
Epoch [82/100], Step[46/526], Loss: 0.6861
Epoch [82/100], Step[47/526], Loss: 0.6883
Epoch [82/100], Step[48/526], Loss: 0.7242
Epoch [82/100], Step[49/526], Loss: 0.7008
Epoch [82/100], Step[50/526], Loss: 0.6976
Epoch [82/100], Step[51/526], Loss: 0.6986
Epoch [82/100], Step[52/526], Loss: 0.6746
Epoch [82/100], Step[53/526], Loss: 0.7216
Epoch [82/100], Step[54/526], Loss: 0.6969
Epoch [82/100], Step[55/526], Loss: 0.7029
Epoch [82/100], Step[56/526], Loss: 0.6786
Epoch [82/100], Step[57/526], Loss: 0.6887
Epoch [82/100], Step[58/526], Loss: 0.6669
Epoch [82/100], Step[59/526], Loss: 0.6526
Epoch [82/100], Step[60/526], Loss: 0.6583
Epoch [82/100], Step[61/526], Loss: 0.6609
Epoch [82/100], Step[62/526], Loss: 0.7036
Epoch [82/100], Step[63/526], Loss: 0.6884
Epoch [82/100], Step[64/526], Loss: 0.6745
Epoch [82/100], Step[65/526], Loss: 0.7152
Epoch [82/100], Step[66/526], Loss: 0.6790
Epoch [82/100], Step[67/526], Loss: 0.6321
Epoch [82/100], Step[68/526], Loss: 0.6508
Epoch [82/100], Step[69/526], Loss: 0.6887
Epoch [82/100], Step[70/526], Loss: 0.6849
Epoch [82/100], Step[71/526], Loss: 0.6637
Epoch [82/100], Step[72/526], Loss: 0.6775
Epoch [82/100], Step[73/526], Loss: 0.7181
Epoch [82/100], Step[74/526], Loss: 0.6586
Epoch [82/100], Step[75/526], Loss: 0.7026
Epoch [82/100], Step[76/526], Loss: 0.6910
Epoch [82/100], Step[77/526], Loss: 0.7063
Epoch [82/100], Step[78/526], Loss: 0.7117
Epoch [82/100], Step[79/526], Loss: 0.6918
Epoch [82/100], Step[80/526], Loss: 0.7014
Epoch [82/100], Step[81/526], Loss: 0.6933
Epoch [82/100], Step[82/526], Loss: 0.7161
Epoch [82/100], Step[83/526], Loss: 0.7001
Epoch [82/100], Step[84/526], Loss: 0.6826
Epoch [82/100], Step[85/526], Loss: 0.6551
Epoch [82/100], Step[86/526], Loss: 0.6793
Epoch [82/100], Step[87/526], Loss: 0.6905
Epoch [82/100], Step[88/526], Loss: 0.6891
Epoch [82/100], Step[89/526], Loss: 0.7288
Epoch [82/100], Step[90/526], Loss: 0.6683
Epoch [82/100], Step[91/526], Loss: 0.6895
Epoch [82/100], Step[92/526], Loss: 0.6588
Epoch [82/100], Step[93/526], Loss: 0.6948
Epoch [82/100], Step[94/526], Loss: 0.7977
Epoch [82/100], Step[95/526], Loss: 0.7124
Epoch [82/100], Step[96/526], Loss: 0.6061
Epoch [82/100], Step[97/526], Loss: 0.5815
Epoch [82/100], Step[98/526], Loss: 0.6795
Epoch [82/100], Step[99/526], Loss: 0.6819
Epoch [82/100], Step[100/526], Loss: 0.6530
Epoch [82/100], Step[101/526], Loss: 0.6614
Epoch [82/100], Step[102/526], Loss: 0.6308
Epoch [82/100], Step[103/526], Loss: 0.7350
Epoch [82/100], Step[104/526], Loss: 0.6616
Epoch [82/100], Step[105/526], Loss: 0.6164
Epoch [82/100], Step[106/526], Loss: 0.6841
Epoch [82/100], Step[107/526], Loss: 0.6047
Epoch [82/100], Step[108/526], Loss: 0.5862
Epoch [82/100], Step[109/526], Loss: 0.6591
Epoch [82/100], Step[110/526], Loss: 0.6796
Epoch [82/100], Step[111/526], Loss: 0.5985
Epoch [82/100], Step[112/526], Loss: 0.7340
Epoch [82/100], Step[113/526], Loss: 0.5991
Epoch [82/100], Step[114/526], Loss: 0.6503
Epoch [82/100], Step[115/526], Loss: 0.5896
Epoch [82/100], Step[116/526], Loss: 0.6326
Epoch [82/100], Step[117/526], Loss: 0.7135
Epoch [82/100], Step[118/526], Loss: 0.7703
Epoch [82/100], Step[119/526], Loss: 0.6822
Epoch [82/100], Step[120/526], Loss: 0.6709
Epoch [82/100], Step[121/526], Loss: 0.7062
Epoch [82/100], Step[122/526], Loss: 0.6126
Epoch [82/100], Step[123/526], Loss: 0.6522
Epoch [82/100], Step[124/526], Loss: 0.6689
Epoch [82/100], Step[125/526], Loss: 0.6348
Epoch [82/100], Step[126/526], Loss: 0.7129
Epoch [82/100], Step[127/526], Loss: 0.6641
Epoch [82/100], Step[128/526], Loss: 0.6266
Epoch [82/100], Step[129/526], Loss: 0.5996
Epoch [82/100], Step[130/526], Loss: 0.6532
Epoch [82/100], Step[131/526], Loss: 0.6632
Epoch [82/100], Step[132/526], Loss: 0.6965
Epoch [82/100], Step[133/526], Loss: 0.6688
Epoch [82/100], Step[134/526], Loss: 0.6310
Epoch [82/100], Step[135/526], Loss: 0.6376
Epoch [82/100], Step[136/526], Loss: 0.5607
Epoch [82/100], Step[137/526], Loss: 0.6448
Epoch [82/100], Step[138/526], Loss: 0.6330
Epoch [82/100], Step[139/526], Loss: 0.6904
Epoch [82/100], Step[140/526], Loss: 0.5891
Epoch [82/100], Step[141/526], Loss: 0.6721
Epoch [82/100], Step[142/526], Loss: 0.6778
Epoch [82/100], Step[143/526], Loss: 0.6891
Epoch [82/100], Step[144/526], Loss: 0.7926
Epoch [82/100], Step[145/526], Loss: 0.5803
Epoch [82/100], Step[146/526], Loss: 0.4846
Epoch [82/100], Step[147/526], Loss: 0.5112
Epoch [82/100], Step[148/526], Loss: 0.5953
Epoch [82/100], Step[149/526], Loss: 0.4771
Epoch [82/100], Step[150/526], Loss: 0.5561
Epoch [82/100], Step[151/526], Loss: 0.5401
Epoch [82/100], Step[152/526], Loss: 0.6415
Epoch [82/100], Step[153/526], Loss: 0.6443
Epoch [82/100], Step[154/526], Loss: 0.6804
Epoch [82/100], Step[155/526], Loss: 0.6867
Epoch [82/100], Step[156/526], Loss: 0.5513
Epoch [82/100], Step[157/526], Loss: 0.2769
Epoch [82/100], Step[158/526], Loss: 0.6017
Epoch [82/100], Step[159/526], Loss: 0.6441
Epoch [82/100], Step[160/526], Loss: 0.5580
Epoch [82/100], Step[161/526], Loss: 0.8111
Epoch [82/100], Step[162/526], Loss: 0.7203
Epoch [82/100], Step[163/526], Loss: 0.7156
Epoch [82/100], Step[164/526], Loss: 0.6059
Epoch [82/100], Step[165/526], Loss: 0.7273
Epoch [82/100], Step[166/526], Loss: 0.5374
Epoch [82/100], Step[167/526], Loss: 0.5548
Epoch [82/100], Step[168/526], Loss: 0.6929
Epoch [82/100], Step[169/526], Loss: 0.7294
Epoch [82/100], Step[170/526], Loss: 0.7242
Epoch [82/100], Step[171/526], Loss: 0.7332
Epoch [82/100], Step[172/526], Loss: 0.7165
Epoch [82/100], Step[173/526], Loss: 0.8088
Epoch [82/100], Step[174/526], Loss: 0.6328
Epoch [82/100], Step[175/526], Loss: 0.6645
Epoch [82/100], Step[176/526], Loss: 0.6367
Epoch [82/100], Step[177/526], Loss: 0.6675
Epoch [82/100], Step[178/526], Loss: 0.6929
Epoch [82/100], Step[179/526], Loss: 0.6282
Epoch [82/100], Step[180/526], Loss: 0.6612
Epoch [82/100], Step[181/526], Loss: 0.6608
Epoch [82/100], Step[182/526], Loss: 0.6652
Epoch [82/100], Step[183/526], Loss: 0.5547
Epoch [82/100], Step[184/526], Loss: 0.5747
Epoch [82/100], Step[185/526], Loss: 0.6022
Epoch [82/100], Step[186/526], Loss: 0.6321
Epoch [82/100], Step[187/526], Loss: 0.7547
Epoch [82/100], Step[188/526], Loss: 0.7300
Epoch [82/100], Step[189/526], Loss: 0.6649
Epoch [82/100], Step[190/526], Loss: 0.6941
Epoch [82/100], Step[191/526], Loss: 0.6894
Epoch [82/100], Step[192/526], Loss: 0.8152
Epoch [82/100], Step[193/526], Loss: 0.5978
Epoch [82/100], Step[194/526], Loss: 0.6124
Epoch [82/100], Step[195/526], Loss: 0.6142
Epoch [82/100], Step[196/526], Loss: 0.7176
Epoch [82/100], Step[197/526], Loss: 0.6273
Epoch [82/100], Step[198/526], Loss: 0.5978
Epoch [82/100], Step[199/526], Loss: 0.7236
Epoch [82/100], Step[200/526], Loss: 0.6555
Epoch [82/100], Step[201/526], Loss: 0.6885
Epoch [82/100], Step[202/526], Loss: 0.8103
Epoch [82/100], Step[203/526], Loss: 0.6601
Epoch [82/100], Step[204/526], Loss: 0.7849
Epoch [82/100], Step[205/526], Loss: 0.6926
Epoch [82/100], Step[206/526], Loss: 0.6921
Epoch [82/100], Step[207/526], Loss: 0.6933
Epoch [82/100], Step[208/526], Loss: 0.6945
Epoch [82/100], Step[209/526], Loss: 0.7071
Epoch [82/100], Step[210/526], Loss: 0.7563
Epoch [82/100], Step[211/526], Loss: 0.6243
Epoch [82/100], Step[212/526], Loss: 0.7024
Epoch [82/100], Step[213/526], Loss: 0.7183
Epoch [82/100], Step[214/526], Loss: 0.6896
Epoch [82/100], Step[215/526], Loss: 0.7024
Epoch [82/100], Step[216/526], Loss: 0.6917
Epoch [82/100], Step[217/526], Loss: 0.6565
Epoch [82/100], Step[218/526], Loss: 0.6907
Epoch [82/100], Step[219/526], Loss: 0.6830
Epoch [82/100], Step[220/526], Loss: 0.7075
Epoch [82/100], Step[221/526], Loss: 0.6830
Epoch [82/100], Step[222/526], Loss: 0.7092
Epoch [82/100], Step[223/526], Loss: 0.6177
Epoch [82/100], Step[224/526], Loss: 0.6604
Epoch [82/100], Step[225/526], Loss: 0.6678
Epoch [82/100], Step[226/526], Loss: 0.6535
Epoch [82/100], Step[227/526], Loss: 0.6701
Epoch [82/100], Step[228/526], Loss: 0.6940
Epoch [82/100], Step[229/526], Loss: 0.7187
Epoch [82/100], Step[230/526], Loss: 0.6371
Epoch [82/100], Step[231/526], Loss: 0.6300
Epoch [82/100], Step[232/526], Loss: 0.6233
Epoch [82/100], Step[233/526], Loss: 0.6881
Epoch [82/100], Step[234/526], Loss: 0.6240
Epoch [82/100], Step[235/526], Loss: 0.6920
Epoch [82/100], Step[236/526], Loss: 0.6840
Epoch [82/100], Step[237/526], Loss: 0.7084
Epoch [82/100], Step[238/526], Loss: 0.5984
Epoch [82/100], Step[239/526], Loss: 0.6495
Epoch [82/100], Step[240/526], Loss: 0.6642
Epoch [82/100], Step[241/526], Loss: 0.6464
Epoch [82/100], Step[242/526], Loss: 0.6513
Epoch [82/100], Step[243/526], Loss: 0.6173
Epoch [82/100], Step[244/526], Loss: 0.5778
Epoch [82/100], Step[245/526], Loss: 0.6007
Epoch [82/100], Step[246/526], Loss: 0.6612
Epoch [82/100], Step[247/526], Loss: 0.5294
Epoch [82/100], Step[248/526], Loss: 0.5586
Epoch [82/100], Step[249/526], Loss: 0.7403
Epoch [82/100], Step[250/526], Loss: 0.7071
Epoch [82/100], Step[251/526], Loss: 0.6372
Epoch [82/100], Step[252/526], Loss: 0.6911
Epoch [82/100], Step[253/526], Loss: 0.6426
Epoch [82/100], Step[254/526], Loss: 0.6922
Epoch [82/100], Step[255/526], Loss: 0.5716
Epoch [82/100], Step[256/526], Loss: 0.6641
Epoch [82/100], Step[257/526], Loss: 0.6371
Epoch [82/100], Step[258/526], Loss: 0.6166
Epoch [82/100], Step[259/526], Loss: 0.7124
Epoch [82/100], Step[260/526], Loss: 0.7496
Epoch [82/100], Step[261/526], Loss: 0.8031
Epoch [82/100], Step[262/526], Loss: 0.5973
Epoch [82/100], Step[263/526], Loss: 0.6519
Epoch [82/100], Step[264/526], Loss: 0.6418
Epoch [82/100], Step[265/526], Loss: 0.4205
Epoch [82/100], Step[266/526], Loss: 0.4174
Epoch [82/100], Step[267/526], Loss: 0.4624
Epoch [82/100], Step[268/526], Loss: 0.5652
Epoch [82/100], Step[269/526], Loss: 0.4368
Epoch [82/100], Step[270/526], Loss: 0.3891
Epoch [82/100], Step[271/526], Loss: 0.5369
Epoch [82/100], Step[272/526], Loss: 0.5346
Epoch [82/100], Step[273/526], Loss: 0.6603
Epoch [82/100], Step[274/526], Loss: 0.4536
Epoch [82/100], Step[275/526], Loss: 0.3822
Epoch [82/100], Step[276/526], Loss: 0.4921
Epoch [82/100], Step[277/526], Loss: 0.3509
Epoch [82/100], Step[278/526], Loss: 0.4586
Epoch [82/100], Step[279/526], Loss: 0.4239
Epoch [82/100], Step[280/526], Loss: 0.4703
Epoch [82/100], Step[281/526], Loss: 0.6892
Epoch [82/100], Step[282/526], Loss: 0.4123
Epoch [82/100], Step[283/526], Loss: 0.3902
Epoch [82/100], Step[284/526], Loss: 0.4347
Epoch [82/100], Step[285/526], Loss: 0.2977
Epoch [82/100], Step[286/526], Loss: 0.7229
Epoch [82/100], Step[287/526], Loss: 0.5263
Epoch [82/100], Step[288/526], Loss: 0.3818
Epoch [82/100], Step[289/526], Loss: 0.5982
Epoch [82/100], Step[290/526], Loss: 0.4364
Epoch [82/100], Step[291/526], Loss: 0.4806
Epoch [82/100], Step[292/526], Loss: 0.2854
Epoch [82/100], Step[293/526], Loss: 0.3158
Epoch [82/100], Step[294/526], Loss: 0.3404
Epoch [82/100], Step[295/526], Loss: 0.4186
Epoch [82/100], Step[296/526], Loss: 0.5935
Epoch [82/100], Step[297/526], Loss: 0.3388
Epoch [82/100], Step[298/526], Loss: 0.2855
Epoch [82/100], Step[299/526], Loss: 0.2405
Epoch [82/100], Step[300/526], Loss: 0.2647
Epoch [82/100], Step[301/526], Loss: 0.6272
Epoch [82/100], Step[302/526], Loss: 0.3629
Epoch [82/100], Step[303/526], Loss: 0.4397
Epoch [82/100], Step[304/526], Loss: 0.2659
Epoch [82/100], Step[305/526], Loss: 0.2587
Epoch [82/100], Step[306/526], Loss: 0.5848
Epoch [82/100], Step[307/526], Loss: 0.9192
Epoch [82/100], Step[308/526], Loss: 1.3108
Epoch [82/100], Step[309/526], Loss: 0.9955
Epoch [82/100], Step[310/526], Loss: 0.9353
Epoch [82/100], Step[311/526], Loss: 0.8371
Epoch [82/100], Step[312/526], Loss: 0.4884
Epoch [82/100], Step[313/526], Loss: 0.4256
Epoch [82/100], Step[314/526], Loss: 0.5952
Epoch [82/100], Step[315/526], Loss: 0.7314
Epoch [82/100], Step[316/526], Loss: 0.5037
Epoch [82/100], Step[317/526], Loss: 0.3257
Epoch [82/100], Step[318/526], Loss: 0.7625
Epoch [82/100], Step[319/526], Loss: 0.3770
Epoch [82/100], Step[320/526], Loss: 0.6252
Epoch [82/100], Step[321/526], Loss: 0.7580
Epoch [82/100], Step[322/526], Loss: 0.2655
Epoch [82/100], Step[323/526], Loss: 0.5937
Epoch [82/100], Step[324/526], Loss: 0.6488
Epoch [82/100], Step[325/526], Loss: 0.5332
Epoch [82/100], Step[326/526], Loss: 0.7870
Epoch [82/100], Step[327/526], Loss: 0.7732
Epoch [82/100], Step[328/526], Loss: 0.9250
Epoch [82/100], Step[329/526], Loss: 1.2868
Epoch [82/100], Step[330/526], Loss: 1.0593
Epoch [82/100], Step[331/526], Loss: 0.8090
Epoch [82/100], Step[332/526], Loss: 0.9444
Epoch [82/100], Step[333/526], Loss: 0.7565
Epoch [82/100], Step[334/526], Loss: 0.8233
Epoch [82/100], Step[335/526], Loss: 0.7406
Epoch [82/100], Step[336/526], Loss: 0.6929
Epoch [82/100], Step[337/526], Loss: 0.5792
Epoch [82/100], Step[338/526], Loss: 0.7258
Epoch [82/100], Step[339/526], Loss: 0.6611
Epoch [82/100], Step[340/526], Loss: 0.7293
Epoch [82/100], Step[341/526], Loss: 0.7339
Epoch [82/100], Step[342/526], Loss: 0.7545
Epoch [82/100], Step[343/526], Loss: 0.5269
Epoch [82/100], Step[344/526], Loss: 0.6958
Epoch [82/100], Step[345/526], Loss: 0.7178
Epoch [82/100], Step[346/526], Loss: 0.6708
Epoch [82/100], Step[347/526], Loss: 0.7196
Epoch [82/100], Step[348/526], Loss: 0.6257
Epoch [82/100], Step[349/526], Loss: 0.5735
Epoch [82/100], Step[350/526], Loss: 0.6451
Epoch [82/100], Step[351/526], Loss: 0.6896
Epoch [82/100], Step[352/526], Loss: 0.6285
Epoch [82/100], Step[353/526], Loss: 0.6677
Epoch [82/100], Step[354/526], Loss: 0.6791
Epoch [82/100], Step[355/526], Loss: 0.6674
Epoch [82/100], Step[356/526], Loss: 0.6896
Epoch [82/100], Step[357/526], Loss: 0.6370
Epoch [82/100], Step[358/526], Loss: 0.7081
Epoch [82/100], Step[359/526], Loss: 0.6342
Epoch [82/100], Step[360/526], Loss: 0.6759
Epoch [82/100], Step[361/526], Loss: 0.7141
Epoch [82/100], Step[362/526], Loss: 0.6953
Epoch [82/100], Step[363/526], Loss: 0.7003
Epoch [82/100], Step[364/526], Loss: 0.7308
Epoch [82/100], Step[365/526], Loss: 0.7338
Epoch [82/100], Step[366/526], Loss: 0.6824
Epoch [82/100], Step[367/526], Loss: 0.6769
Epoch [82/100], Step[368/526], Loss: 0.6577
Epoch [82/100], Step[369/526], Loss: 0.6318
Epoch [82/100], Step[370/526], Loss: 0.5517
Epoch [82/100], Step[371/526], Loss: 0.7372
Epoch [82/100], Step[372/526], Loss: 0.6317
Epoch [82/100], Step[373/526], Loss: 0.6725
Epoch [82/100], Step[374/526], Loss: 0.6978
Epoch [82/100], Step[375/526], Loss: 0.6256
Epoch [82/100], Step[376/526], Loss: 0.6227
Epoch [82/100], Step[377/526], Loss: 0.6843
Epoch [82/100], Step[378/526], Loss: 0.6714
Epoch [82/100], Step[379/526], Loss: 0.8019
Epoch [82/100], Step[380/526], Loss: 0.5975
Epoch [82/100], Step[381/526], Loss: 0.5749
Epoch [82/100], Step[382/526], Loss: 0.6664
Epoch [82/100], Step[383/526], Loss: 0.6838
Epoch [82/100], Step[384/526], Loss: 0.6286
Epoch [82/100], Step[385/526], Loss: 0.6335
Epoch [82/100], Step[386/526], Loss: 0.6218
Epoch [82/100], Step[387/526], Loss: 0.6566
Epoch [82/100], Step[388/526], Loss: 0.5828
Epoch [82/100], Step[389/526], Loss: 0.7377
Epoch [82/100], Step[390/526], Loss: 0.5683
Epoch [82/100], Step[391/526], Loss: 0.6161
Epoch [82/100], Step[392/526], Loss: 0.7335
Epoch [82/100], Step[393/526], Loss: 0.5808
Epoch [82/100], Step[394/526], Loss: 0.5074
Epoch [82/100], Step[395/526], Loss: 0.5880
Epoch [82/100], Step[396/526], Loss: 0.6209
Epoch [82/100], Step[397/526], Loss: 0.4769
Epoch [82/100], Step[398/526], Loss: 0.6085
Epoch [82/100], Step[399/526], Loss: 0.6671
Epoch [82/100], Step[400/526], Loss: 0.4723
Epoch [82/100], Step[401/526], Loss: 0.5965
Epoch [82/100], Step[402/526], Loss: 0.6369
Epoch [82/100], Step[403/526], Loss: 0.7423
Epoch [82/100], Step[404/526], Loss: 0.4738
Epoch [82/100], Step[405/526], Loss: 0.4850
Epoch [82/100], Step[406/526], Loss: 0.6379
Epoch [82/100], Step[407/526], Loss: 0.7644
Epoch [82/100], Step[408/526], Loss: 0.6530
Epoch [82/100], Step[409/526], Loss: 0.4799
Epoch [82/100], Step[410/526], Loss: 0.5066
Epoch [82/100], Step[411/526], Loss: 0.5348
Epoch [82/100], Step[412/526], Loss: 0.6019
Epoch [82/100], Step[413/526], Loss: 0.6073
Epoch [82/100], Step[414/526], Loss: 0.6505
Epoch [82/100], Step[415/526], Loss: 0.5992
Epoch [82/100], Step[416/526], Loss: 0.5926
Epoch [82/100], Step[417/526], Loss: 0.4714
Epoch [82/100], Step[418/526], Loss: 0.7769
Epoch [82/100], Step[419/526], Loss: 0.6714
Epoch [82/100], Step[420/526], Loss: 0.6784
Epoch [82/100], Step[421/526], Loss: 0.6628
Epoch [82/100], Step[422/526], Loss: 0.7600
Epoch [82/100], Step[423/526], Loss: 0.6995
Epoch [82/100], Step[424/526], Loss: 0.7575
Epoch [82/100], Step[425/526], Loss: 0.7103
Epoch [82/100], Step[426/526], Loss: 0.7467
Epoch [82/100], Step[427/526], Loss: 0.7048
Epoch [82/100], Step[428/526], Loss: 0.7072
Epoch [82/100], Step[429/526], Loss: 0.7452
Epoch [82/100], Step[430/526], Loss: 0.7833
Epoch [82/100], Step[431/526], Loss: 0.7083
Epoch [82/100], Step[432/526], Loss: 0.7157
Epoch [82/100], Step[433/526], Loss: 0.6671
Epoch [82/100], Step[434/526], Loss: 0.6030
Epoch [82/100], Step[435/526], Loss: 0.7651
Epoch [82/100], Step[436/526], Loss: 0.8140
Epoch [82/100], Step[437/526], Loss: 0.4876
Epoch [82/100], Step[438/526], Loss: 0.3795
Epoch [82/100], Step[439/526], Loss: 0.7202
Epoch [82/100], Step[440/526], Loss: 0.6823
Epoch [82/100], Step[441/526], Loss: 0.7036
Epoch [82/100], Step[442/526], Loss: 0.6549
Epoch [82/100], Step[443/526], Loss: 0.6668
Epoch [82/100], Step[444/526], Loss: 0.7585
Epoch [82/100], Step[445/526], Loss: 0.7175
Epoch [82/100], Step[446/526], Loss: 0.6957
Epoch [82/100], Step[447/526], Loss: 0.7338
Epoch [82/100], Step[448/526], Loss: 0.7237
Epoch [82/100], Step[449/526], Loss: 0.6708
Epoch [82/100], Step[450/526], Loss: 0.5942
Epoch [82/100], Step[451/526], Loss: 0.6724
Epoch [82/100], Step[452/526], Loss: 0.7338
Epoch [82/100], Step[453/526], Loss: 0.7009
Epoch [82/100], Step[454/526], Loss: 0.8421
Epoch [82/100], Step[455/526], Loss: 0.6516
Epoch [82/100], Step[456/526], Loss: 0.6229
Epoch [82/100], Step[457/526], Loss: 0.6987
Epoch [82/100], Step[458/526], Loss: 0.6850
Epoch [82/100], Step[459/526], Loss: 0.6492
Epoch [82/100], Step[460/526], Loss: 0.6214
Epoch [82/100], Step[461/526], Loss: 0.5843
Epoch [82/100], Step[462/526], Loss: 0.6443
Epoch [82/100], Step[463/526], Loss: 0.6365
Epoch [82/100], Step[464/526], Loss: 0.6093
Epoch [82/100], Step[465/526], Loss: 0.6372
Epoch [82/100], Step[466/526], Loss: 0.6619
Epoch [82/100], Step[467/526], Loss: 0.6360
Epoch [82/100], Step[468/526], Loss: 0.5811
Epoch [82/100], Step[469/526], Loss: 0.8501
Epoch [82/100], Step[470/526], Loss: 0.6640
Epoch [82/100], Step[471/526], Loss: 0.6903
Epoch [82/100], Step[472/526], Loss: 0.6817
Epoch [82/100], Step[473/526], Loss: 0.6744
Epoch [82/100], Step[474/526], Loss: 0.6717
Epoch [82/100], Step[475/526], Loss: 0.8579
Epoch [82/100], Step[476/526], Loss: 0.7462
Epoch [82/100], Step[477/526], Loss: 0.6843
Epoch [82/100], Step[478/526], Loss: 0.6925
Epoch [82/100], Step[479/526], Loss: 0.6630
Epoch [82/100], Step[480/526], Loss: 0.7348
Epoch [82/100], Step[481/526], Loss: 0.7390
Epoch [82/100], Step[482/526], Loss: 0.6517
Epoch [82/100], Step[483/526], Loss: 0.5307
Epoch [82/100], Step[484/526], Loss: 0.7257
Epoch [82/100], Step[485/526], Loss: 0.7813
Epoch [82/100], Step[486/526], Loss: 0.7478
Epoch [82/100], Step[487/526], Loss: 0.7667
Epoch [82/100], Step[488/526], Loss: 0.6664
Epoch [82/100], Step[489/526], Loss: 0.6109
Epoch [82/100], Step[490/526], Loss: 0.5924
Epoch [82/100], Step[491/526], Loss: 0.6772
Epoch [82/100], Step[492/526], Loss: 0.6452
Epoch [82/100], Step[493/526], Loss: 0.6329
Epoch [82/100], Step[494/526], Loss: 0.6854
Epoch [82/100], Step[495/526], Loss: 0.6929
Epoch [82/100], Step[496/526], Loss: 0.6477
Epoch [82/100], Step[497/526], Loss: 0.6270
Epoch [82/100], Step[498/526], Loss: 0.6763
Epoch [82/100], Step[499/526], Loss: 0.6620
Epoch [82/100], Step[500/526], Loss: 0.7103
Epoch [82/100], Step[501/526], Loss: 0.6678
Epoch [82/100], Step[502/526], Loss: 0.6991
Epoch [82/100], Step[503/526], Loss: 0.7101
Epoch [82/100], Step[504/526], Loss: 0.7066
Epoch [82/100], Step[505/526], Loss: 0.7249
Epoch [82/100], Step[506/526], Loss: 0.6571
Epoch [82/100], Step[507/526], Loss: 0.6787
Epoch [82/100], Step[508/526], Loss: 0.7037
Epoch [82/100], Step[509/526], Loss: 0.6307
Epoch [82/100], Step[510/526], Loss: 0.7011
Epoch [82/100], Step[511/526], Loss: 0.6339
Epoch [82/100], Step[512/526], Loss: 0.6581
Epoch [82/100], Step[513/526], Loss: 0.6360
Epoch [82/100], Step[514/526], Loss: 0.6545
Epoch [82/100], Step[515/526], Loss: 0.5905
Epoch [82/100], Step[516/526], Loss: 0.7553
Epoch [82/100], Step[517/526], Loss: 0.6905
Epoch [82/100], Step[518/526], Loss: 0.7391
Epoch [82/100], Step[519/526], Loss: 0.7227
Epoch [82/100], Step[520/526], Loss: 0.6870
Epoch [82/100], Step[521/526], Loss: 0.6533
Epoch [82/100], Step[522/526], Loss: 0.5803
Epoch [82/100], Step[523/526], Loss: 0.6435
Epoch [82/100], Step[524/526], Loss: 0.6162
Epoch [82/100], Step[525/526], Loss: 0.7660
Epoch [82/100], Step[526/526], Loss: 0.7236
Epoch [83/100], Step[1/526], Loss: 0.6556
Epoch [83/100], Step[2/526], Loss: 0.6446
Epoch [83/100], Step[3/526], Loss: 0.6601
Epoch [83/100], Step[4/526], Loss: 0.6315
Epoch [83/100], Step[5/526], Loss: 0.7437
Epoch [83/100], Step[6/526], Loss: 0.7532
Epoch [83/100], Step[7/526], Loss: 0.6850
Epoch [83/100], Step[8/526], Loss: 0.6746
Epoch [83/100], Step[9/526], Loss: 0.6963
Epoch [83/100], Step[10/526], Loss: 0.6541
Epoch [83/100], Step[11/526], Loss: 0.7033
Epoch [83/100], Step[12/526], Loss: 0.7472
Epoch [83/100], Step[13/526], Loss: 0.6046
Epoch [83/100], Step[14/526], Loss: 0.6640
Epoch [83/100], Step[15/526], Loss: 0.6748
Epoch [83/100], Step[16/526], Loss: 0.7126
Epoch [83/100], Step[17/526], Loss: 0.7189
Epoch [83/100], Step[18/526], Loss: 0.6581
Epoch [83/100], Step[19/526], Loss: 0.7170
Epoch [83/100], Step[20/526], Loss: 0.7522
Epoch [83/100], Step[21/526], Loss: 0.7655
Epoch [83/100], Step[22/526], Loss: 0.7452
Epoch [83/100], Step[23/526], Loss: 0.7450
Epoch [83/100], Step[24/526], Loss: 0.7260
Epoch [83/100], Step[25/526], Loss: 0.6973
Epoch [83/100], Step[26/526], Loss: 0.6103
Epoch [83/100], Step[27/526], Loss: 0.6745
Epoch [83/100], Step[28/526], Loss: 0.6925
Epoch [83/100], Step[29/526], Loss: 0.6421
Epoch [83/100], Step[30/526], Loss: 0.6949
Epoch [83/100], Step[31/526], Loss: 0.7042
Epoch [83/100], Step[32/526], Loss: 0.6574
Epoch [83/100], Step[33/526], Loss: 0.7141
Epoch [83/100], Step[34/526], Loss: 0.7050
Epoch [83/100], Step[35/526], Loss: 0.7346
Epoch [83/100], Step[36/526], Loss: 0.7126
Epoch [83/100], Step[37/526], Loss: 0.6872
Epoch [83/100], Step[38/526], Loss: 0.7188
Epoch [83/100], Step[39/526], Loss: 0.6832
Epoch [83/100], Step[40/526], Loss: 0.7104
Epoch [83/100], Step[41/526], Loss: 0.6627
Epoch [83/100], Step[42/526], Loss: 0.7281
Epoch [83/100], Step[43/526], Loss: 0.7102
Epoch [83/100], Step[44/526], Loss: 0.6964
Epoch [83/100], Step[45/526], Loss: 0.6974
Epoch [83/100], Step[46/526], Loss: 0.6893
Epoch [83/100], Step[47/526], Loss: 0.6862
Epoch [83/100], Step[48/526], Loss: 0.7249
Epoch [83/100], Step[49/526], Loss: 0.7005
Epoch [83/100], Step[50/526], Loss: 0.6946
Epoch [83/100], Step[51/526], Loss: 0.6984
Epoch [83/100], Step[52/526], Loss: 0.6747
Epoch [83/100], Step[53/526], Loss: 0.7185
Epoch [83/100], Step[54/526], Loss: 0.6970
Epoch [83/100], Step[55/526], Loss: 0.7130
Epoch [83/100], Step[56/526], Loss: 0.6791
Epoch [83/100], Step[57/526], Loss: 0.6882
Epoch [83/100], Step[58/526], Loss: 0.6665
Epoch [83/100], Step[59/526], Loss: 0.6522
Epoch [83/100], Step[60/526], Loss: 0.6577
Epoch [83/100], Step[61/526], Loss: 0.6648
Epoch [83/100], Step[62/526], Loss: 0.7035
Epoch [83/100], Step[63/526], Loss: 0.6874
Epoch [83/100], Step[64/526], Loss: 0.6788
Epoch [83/100], Step[65/526], Loss: 0.7161
Epoch [83/100], Step[66/526], Loss: 0.6783
Epoch [83/100], Step[67/526], Loss: 0.6295
Epoch [83/100], Step[68/526], Loss: 0.6509
Epoch [83/100], Step[69/526], Loss: 0.6888
Epoch [83/100], Step[70/526], Loss: 0.6844
Epoch [83/100], Step[71/526], Loss: 0.6633
Epoch [83/100], Step[72/526], Loss: 0.6775
Epoch [83/100], Step[73/526], Loss: 0.7175
Epoch [83/100], Step[74/526], Loss: 0.6592
Epoch [83/100], Step[75/526], Loss: 0.7033
Epoch [83/100], Step[76/526], Loss: 0.6921
Epoch [83/100], Step[77/526], Loss: 0.7058
Epoch [83/100], Step[78/526], Loss: 0.7116
Epoch [83/100], Step[79/526], Loss: 0.6979
Epoch [83/100], Step[80/526], Loss: 0.7018
Epoch [83/100], Step[81/526], Loss: 0.6945
Epoch [83/100], Step[82/526], Loss: 0.7140
Epoch [83/100], Step[83/526], Loss: 0.7037
Epoch [83/100], Step[84/526], Loss: 0.6840
Epoch [83/100], Step[85/526], Loss: 0.6628
Epoch [83/100], Step[86/526], Loss: 0.6793
Epoch [83/100], Step[87/526], Loss: 0.6908
Epoch [83/100], Step[88/526], Loss: 0.6892
Epoch [83/100], Step[89/526], Loss: 0.7290
Epoch [83/100], Step[90/526], Loss: 0.6652
Epoch [83/100], Step[91/526], Loss: 0.6901
Epoch [83/100], Step[92/526], Loss: 0.6580
Epoch [83/100], Step[93/526], Loss: 0.6957
Epoch [83/100], Step[94/526], Loss: 0.7987
Epoch [83/100], Step[95/526], Loss: 0.7126
Epoch [83/100], Step[96/526], Loss: 0.6059
Epoch [83/100], Step[97/526], Loss: 0.5825
Epoch [83/100], Step[98/526], Loss: 0.6824
Epoch [83/100], Step[99/526], Loss: 0.6805
Epoch [83/100], Step[100/526], Loss: 0.6555
Epoch [83/100], Step[101/526], Loss: 0.6618
Epoch [83/100], Step[102/526], Loss: 0.6302
Epoch [83/100], Step[103/526], Loss: 0.7290
Epoch [83/100], Step[104/526], Loss: 0.6617
Epoch [83/100], Step[105/526], Loss: 0.6229
Epoch [83/100], Step[106/526], Loss: 0.6847
Epoch [83/100], Step[107/526], Loss: 0.6087
Epoch [83/100], Step[108/526], Loss: 0.5881
Epoch [83/100], Step[109/526], Loss: 0.6537
Epoch [83/100], Step[110/526], Loss: 0.6793
Epoch [83/100], Step[111/526], Loss: 0.5990
Epoch [83/100], Step[112/526], Loss: 0.7375
Epoch [83/100], Step[113/526], Loss: 0.6066
Epoch [83/100], Step[114/526], Loss: 0.6487
Epoch [83/100], Step[115/526], Loss: 0.5898
Epoch [83/100], Step[116/526], Loss: 0.6345
Epoch [83/100], Step[117/526], Loss: 0.6973
Epoch [83/100], Step[118/526], Loss: 0.7634
Epoch [83/100], Step[119/526], Loss: 0.6807
Epoch [83/100], Step[120/526], Loss: 0.6705
Epoch [83/100], Step[121/526], Loss: 0.7080
Epoch [83/100], Step[122/526], Loss: 0.6111
Epoch [83/100], Step[123/526], Loss: 0.6557
Epoch [83/100], Step[124/526], Loss: 0.6690
Epoch [83/100], Step[125/526], Loss: 0.6361
Epoch [83/100], Step[126/526], Loss: 0.7135
Epoch [83/100], Step[127/526], Loss: 0.6635
Epoch [83/100], Step[128/526], Loss: 0.6251
Epoch [83/100], Step[129/526], Loss: 0.6010
Epoch [83/100], Step[130/526], Loss: 0.6571
Epoch [83/100], Step[131/526], Loss: 0.6661
Epoch [83/100], Step[132/526], Loss: 0.7050
Epoch [83/100], Step[133/526], Loss: 0.6707
Epoch [83/100], Step[134/526], Loss: 0.6301
Epoch [83/100], Step[135/526], Loss: 0.6384
Epoch [83/100], Step[136/526], Loss: 0.5604
Epoch [83/100], Step[137/526], Loss: 0.6433
Epoch [83/100], Step[138/526], Loss: 0.6486
Epoch [83/100], Step[139/526], Loss: 0.6899
Epoch [83/100], Step[140/526], Loss: 0.5901
Epoch [83/100], Step[141/526], Loss: 0.6621
Epoch [83/100], Step[142/526], Loss: 0.6786
Epoch [83/100], Step[143/526], Loss: 0.6909
Epoch [83/100], Step[144/526], Loss: 0.7583
Epoch [83/100], Step[145/526], Loss: 0.5069
Epoch [83/100], Step[146/526], Loss: 0.5007
Epoch [83/100], Step[147/526], Loss: 0.4934
Epoch [83/100], Step[148/526], Loss: 0.5997
Epoch [83/100], Step[149/526], Loss: 0.4847
Epoch [83/100], Step[150/526], Loss: 0.5668
Epoch [83/100], Step[151/526], Loss: 0.5439
Epoch [83/100], Step[152/526], Loss: 0.6357
Epoch [83/100], Step[153/526], Loss: 0.6488
Epoch [83/100], Step[154/526], Loss: 0.6779
Epoch [83/100], Step[155/526], Loss: 0.6960
Epoch [83/100], Step[156/526], Loss: 0.5504
Epoch [83/100], Step[157/526], Loss: 0.2882
Epoch [83/100], Step[158/526], Loss: 0.5976
Epoch [83/100], Step[159/526], Loss: 0.6420
Epoch [83/100], Step[160/526], Loss: 0.5634
Epoch [83/100], Step[161/526], Loss: 0.8033
Epoch [83/100], Step[162/526], Loss: 0.7205
Epoch [83/100], Step[163/526], Loss: 0.7211
Epoch [83/100], Step[164/526], Loss: 0.6113
Epoch [83/100], Step[165/526], Loss: 0.7229
Epoch [83/100], Step[166/526], Loss: 0.5355
Epoch [83/100], Step[167/526], Loss: 0.5622
Epoch [83/100], Step[168/526], Loss: 0.6825
Epoch [83/100], Step[169/526], Loss: 0.7328
Epoch [83/100], Step[170/526], Loss: 0.7176
Epoch [83/100], Step[171/526], Loss: 0.7428
Epoch [83/100], Step[172/526], Loss: 0.7156
Epoch [83/100], Step[173/526], Loss: 0.8190
Epoch [83/100], Step[174/526], Loss: 0.6350
Epoch [83/100], Step[175/526], Loss: 0.6710
Epoch [83/100], Step[176/526], Loss: 0.6317
Epoch [83/100], Step[177/526], Loss: 0.6661
Epoch [83/100], Step[178/526], Loss: 0.6904
Epoch [83/100], Step[179/526], Loss: 0.6287
Epoch [83/100], Step[180/526], Loss: 0.6671
Epoch [83/100], Step[181/526], Loss: 0.6560
Epoch [83/100], Step[182/526], Loss: 0.6692
Epoch [83/100], Step[183/526], Loss: 0.5522
Epoch [83/100], Step[184/526], Loss: 0.5871
Epoch [83/100], Step[185/526], Loss: 0.6065
Epoch [83/100], Step[186/526], Loss: 0.6336
Epoch [83/100], Step[187/526], Loss: 0.7525
Epoch [83/100], Step[188/526], Loss: 0.7221
Epoch [83/100], Step[189/526], Loss: 0.6640
Epoch [83/100], Step[190/526], Loss: 0.6799
Epoch [83/100], Step[191/526], Loss: 0.6840
Epoch [83/100], Step[192/526], Loss: 0.7883
Epoch [83/100], Step[193/526], Loss: 0.6103
Epoch [83/100], Step[194/526], Loss: 0.6039
Epoch [83/100], Step[195/526], Loss: 0.6171
Epoch [83/100], Step[196/526], Loss: 0.7186
Epoch [83/100], Step[197/526], Loss: 0.6340
Epoch [83/100], Step[198/526], Loss: 0.6020
Epoch [83/100], Step[199/526], Loss: 0.7354
Epoch [83/100], Step[200/526], Loss: 0.6605
Epoch [83/100], Step[201/526], Loss: 0.6893
Epoch [83/100], Step[202/526], Loss: 0.8063
Epoch [83/100], Step[203/526], Loss: 0.6623
Epoch [83/100], Step[204/526], Loss: 0.7813
Epoch [83/100], Step[205/526], Loss: 0.6906
Epoch [83/100], Step[206/526], Loss: 0.6913
Epoch [83/100], Step[207/526], Loss: 0.6928
Epoch [83/100], Step[208/526], Loss: 0.6926
Epoch [83/100], Step[209/526], Loss: 0.7087
Epoch [83/100], Step[210/526], Loss: 0.7430
Epoch [83/100], Step[211/526], Loss: 0.6241
Epoch [83/100], Step[212/526], Loss: 0.7045
Epoch [83/100], Step[213/526], Loss: 0.7109
Epoch [83/100], Step[214/526], Loss: 0.6842
Epoch [83/100], Step[215/526], Loss: 0.7087
Epoch [83/100], Step[216/526], Loss: 0.6952
Epoch [83/100], Step[217/526], Loss: 0.6538
Epoch [83/100], Step[218/526], Loss: 0.6837
Epoch [83/100], Step[219/526], Loss: 0.6798
Epoch [83/100], Step[220/526], Loss: 0.6978
Epoch [83/100], Step[221/526], Loss: 0.6860
Epoch [83/100], Step[222/526], Loss: 0.7007
Epoch [83/100], Step[223/526], Loss: 0.6070
Epoch [83/100], Step[224/526], Loss: 0.6601
Epoch [83/100], Step[225/526], Loss: 0.6503
Epoch [83/100], Step[226/526], Loss: 0.6531
Epoch [83/100], Step[227/526], Loss: 0.6669
Epoch [83/100], Step[228/526], Loss: 0.7019
Epoch [83/100], Step[229/526], Loss: 0.7241
Epoch [83/100], Step[230/526], Loss: 0.6281
Epoch [83/100], Step[231/526], Loss: 0.6247
Epoch [83/100], Step[232/526], Loss: 0.6194
Epoch [83/100], Step[233/526], Loss: 0.6890
Epoch [83/100], Step[234/526], Loss: 0.6313
Epoch [83/100], Step[235/526], Loss: 0.6806
Epoch [83/100], Step[236/526], Loss: 0.6838
Epoch [83/100], Step[237/526], Loss: 0.7149
Epoch [83/100], Step[238/526], Loss: 0.5942
Epoch [83/100], Step[239/526], Loss: 0.6501
Epoch [83/100], Step[240/526], Loss: 0.6546
Epoch [83/100], Step[241/526], Loss: 0.6391
Epoch [83/100], Step[242/526], Loss: 0.6383
Epoch [83/100], Step[243/526], Loss: 0.5987
Epoch [83/100], Step[244/526], Loss: 0.5715
Epoch [83/100], Step[245/526], Loss: 0.5972
Epoch [83/100], Step[246/526], Loss: 0.6579
Epoch [83/100], Step[247/526], Loss: 0.5235
Epoch [83/100], Step[248/526], Loss: 0.5532
Epoch [83/100], Step[249/526], Loss: 0.7374
Epoch [83/100], Step[250/526], Loss: 0.7180
Epoch [83/100], Step[251/526], Loss: 0.6476
Epoch [83/100], Step[252/526], Loss: 0.6948
Epoch [83/100], Step[253/526], Loss: 0.6200
Epoch [83/100], Step[254/526], Loss: 0.6607
Epoch [83/100], Step[255/526], Loss: 0.5746
Epoch [83/100], Step[256/526], Loss: 0.6573
Epoch [83/100], Step[257/526], Loss: 0.6392
Epoch [83/100], Step[258/526], Loss: 0.6249
Epoch [83/100], Step[259/526], Loss: 0.7135
Epoch [83/100], Step[260/526], Loss: 0.7411
Epoch [83/100], Step[261/526], Loss: 0.7666
Epoch [83/100], Step[262/526], Loss: 0.5928
Epoch [83/100], Step[263/526], Loss: 0.6543
Epoch [83/100], Step[264/526], Loss: 0.6262
Epoch [83/100], Step[265/526], Loss: 0.4285
Epoch [83/100], Step[266/526], Loss: 0.4310
Epoch [83/100], Step[267/526], Loss: 0.4504
Epoch [83/100], Step[268/526], Loss: 0.5785
Epoch [83/100], Step[269/526], Loss: 0.4478
Epoch [83/100], Step[270/526], Loss: 0.4109
Epoch [83/100], Step[271/526], Loss: 0.5463
Epoch [83/100], Step[272/526], Loss: 0.5384
Epoch [83/100], Step[273/526], Loss: 0.6594
Epoch [83/100], Step[274/526], Loss: 0.4476
Epoch [83/100], Step[275/526], Loss: 0.3932
Epoch [83/100], Step[276/526], Loss: 0.5040
Epoch [83/100], Step[277/526], Loss: 0.3641
Epoch [83/100], Step[278/526], Loss: 0.4667
Epoch [83/100], Step[279/526], Loss: 0.4351
Epoch [83/100], Step[280/526], Loss: 0.4707
Epoch [83/100], Step[281/526], Loss: 0.6728
Epoch [83/100], Step[282/526], Loss: 0.4158
Epoch [83/100], Step[283/526], Loss: 0.3870
Epoch [83/100], Step[284/526], Loss: 0.4417
Epoch [83/100], Step[285/526], Loss: 0.3028
Epoch [83/100], Step[286/526], Loss: 0.7208
Epoch [83/100], Step[287/526], Loss: 0.5164
Epoch [83/100], Step[288/526], Loss: 0.3906
Epoch [83/100], Step[289/526], Loss: 0.6050
Epoch [83/100], Step[290/526], Loss: 0.4431
Epoch [83/100], Step[291/526], Loss: 0.4718
Epoch [83/100], Step[292/526], Loss: 0.2905
Epoch [83/100], Step[293/526], Loss: 0.3101
Epoch [83/100], Step[294/526], Loss: 0.3426
Epoch [83/100], Step[295/526], Loss: 0.4298
Epoch [83/100], Step[296/526], Loss: 0.5954
Epoch [83/100], Step[297/526], Loss: 0.3449
Epoch [83/100], Step[298/526], Loss: 0.2875
Epoch [83/100], Step[299/526], Loss: 0.2476
Epoch [83/100], Step[300/526], Loss: 0.2684
Epoch [83/100], Step[301/526], Loss: 0.6315
Epoch [83/100], Step[302/526], Loss: 0.3694
Epoch [83/100], Step[303/526], Loss: 0.4379
Epoch [83/100], Step[304/526], Loss: 0.2671
Epoch [83/100], Step[305/526], Loss: 0.2625
Epoch [83/100], Step[306/526], Loss: 0.5719
Epoch [83/100], Step[307/526], Loss: 0.9165
Epoch [83/100], Step[308/526], Loss: 1.3270
Epoch [83/100], Step[309/526], Loss: 0.9757
Epoch [83/100], Step[310/526], Loss: 0.9323
Epoch [83/100], Step[311/526], Loss: 0.8308
Epoch [83/100], Step[312/526], Loss: 0.4839
Epoch [83/100], Step[313/526], Loss: 0.4314
Epoch [83/100], Step[314/526], Loss: 0.6033
Epoch [83/100], Step[315/526], Loss: 0.7560
Epoch [83/100], Step[316/526], Loss: 0.5035
Epoch [83/100], Step[317/526], Loss: 0.3282
Epoch [83/100], Step[318/526], Loss: 0.7703
Epoch [83/100], Step[319/526], Loss: 0.3720
Epoch [83/100], Step[320/526], Loss: 0.6407
Epoch [83/100], Step[321/526], Loss: 0.7555
Epoch [83/100], Step[322/526], Loss: 0.2765
Epoch [83/100], Step[323/526], Loss: 0.5941
Epoch [83/100], Step[324/526], Loss: 0.6529
Epoch [83/100], Step[325/526], Loss: 0.5616
Epoch [83/100], Step[326/526], Loss: 0.7743
Epoch [83/100], Step[327/526], Loss: 0.7566
Epoch [83/100], Step[328/526], Loss: 0.9356
Epoch [83/100], Step[329/526], Loss: 1.2890
Epoch [83/100], Step[330/526], Loss: 1.0366
Epoch [83/100], Step[331/526], Loss: 0.7927
Epoch [83/100], Step[332/526], Loss: 0.9083
Epoch [83/100], Step[333/526], Loss: 0.7349
Epoch [83/100], Step[334/526], Loss: 0.7884
Epoch [83/100], Step[335/526], Loss: 0.7374
Epoch [83/100], Step[336/526], Loss: 0.6683
Epoch [83/100], Step[337/526], Loss: 0.5819
Epoch [83/100], Step[338/526], Loss: 0.7256
Epoch [83/100], Step[339/526], Loss: 0.6626
Epoch [83/100], Step[340/526], Loss: 0.7268
Epoch [83/100], Step[341/526], Loss: 0.7402
Epoch [83/100], Step[342/526], Loss: 0.7539
Epoch [83/100], Step[343/526], Loss: 0.5294
Epoch [83/100], Step[344/526], Loss: 0.6976
Epoch [83/100], Step[345/526], Loss: 0.7187
Epoch [83/100], Step[346/526], Loss: 0.6704
Epoch [83/100], Step[347/526], Loss: 0.7179
Epoch [83/100], Step[348/526], Loss: 0.6267
Epoch [83/100], Step[349/526], Loss: 0.5730
Epoch [83/100], Step[350/526], Loss: 0.6481
Epoch [83/100], Step[351/526], Loss: 0.6910
Epoch [83/100], Step[352/526], Loss: 0.6312
Epoch [83/100], Step[353/526], Loss: 0.6670
Epoch [83/100], Step[354/526], Loss: 0.6811
Epoch [83/100], Step[355/526], Loss: 0.6687
Epoch [83/100], Step[356/526], Loss: 0.6904
Epoch [83/100], Step[357/526], Loss: 0.6370
Epoch [83/100], Step[358/526], Loss: 0.7138
Epoch [83/100], Step[359/526], Loss: 0.6350
Epoch [83/100], Step[360/526], Loss: 0.6738
Epoch [83/100], Step[361/526], Loss: 0.7097
Epoch [83/100], Step[362/526], Loss: 0.6941
Epoch [83/100], Step[363/526], Loss: 0.6994
Epoch [83/100], Step[364/526], Loss: 0.7315
Epoch [83/100], Step[365/526], Loss: 0.7327
Epoch [83/100], Step[366/526], Loss: 0.6848
Epoch [83/100], Step[367/526], Loss: 0.6763
Epoch [83/100], Step[368/526], Loss: 0.6582
Epoch [83/100], Step[369/526], Loss: 0.6334
Epoch [83/100], Step[370/526], Loss: 0.5360
Epoch [83/100], Step[371/526], Loss: 0.7350
Epoch [83/100], Step[372/526], Loss: 0.6360
Epoch [83/100], Step[373/526], Loss: 0.6721
Epoch [83/100], Step[374/526], Loss: 0.6972
Epoch [83/100], Step[375/526], Loss: 0.6274
Epoch [83/100], Step[376/526], Loss: 0.6194
Epoch [83/100], Step[377/526], Loss: 0.6818
Epoch [83/100], Step[378/526], Loss: 0.6713
Epoch [83/100], Step[379/526], Loss: 0.7984
Epoch [83/100], Step[380/526], Loss: 0.5961
Epoch [83/100], Step[381/526], Loss: 0.5763
Epoch [83/100], Step[382/526], Loss: 0.6652
Epoch [83/100], Step[383/526], Loss: 0.6850
Epoch [83/100], Step[384/526], Loss: 0.6324
Epoch [83/100], Step[385/526], Loss: 0.6330
Epoch [83/100], Step[386/526], Loss: 0.6182
Epoch [83/100], Step[387/526], Loss: 0.6509
Epoch [83/100], Step[388/526], Loss: 0.5790
Epoch [83/100], Step[389/526], Loss: 0.7375
Epoch [83/100], Step[390/526], Loss: 0.5617
Epoch [83/100], Step[391/526], Loss: 0.6176
Epoch [83/100], Step[392/526], Loss: 0.7328
Epoch [83/100], Step[393/526], Loss: 0.5803
Epoch [83/100], Step[394/526], Loss: 0.5044
Epoch [83/100], Step[395/526], Loss: 0.5889
Epoch [83/100], Step[396/526], Loss: 0.6232
Epoch [83/100], Step[397/526], Loss: 0.4757
Epoch [83/100], Step[398/526], Loss: 0.6088
Epoch [83/100], Step[399/526], Loss: 0.6661
Epoch [83/100], Step[400/526], Loss: 0.4679
Epoch [83/100], Step[401/526], Loss: 0.5981
Epoch [83/100], Step[402/526], Loss: 0.6339
Epoch [83/100], Step[403/526], Loss: 0.7496
Epoch [83/100], Step[404/526], Loss: 0.4726
Epoch [83/100], Step[405/526], Loss: 0.4829
Epoch [83/100], Step[406/526], Loss: 0.6411
Epoch [83/100], Step[407/526], Loss: 0.7652
Epoch [83/100], Step[408/526], Loss: 0.6559
Epoch [83/100], Step[409/526], Loss: 0.4782
Epoch [83/100], Step[410/526], Loss: 0.5037
Epoch [83/100], Step[411/526], Loss: 0.5320
Epoch [83/100], Step[412/526], Loss: 0.5981
Epoch [83/100], Step[413/526], Loss: 0.6050
Epoch [83/100], Step[414/526], Loss: 0.6493
Epoch [83/100], Step[415/526], Loss: 0.6012
Epoch [83/100], Step[416/526], Loss: 0.5942
Epoch [83/100], Step[417/526], Loss: 0.4709
Epoch [83/100], Step[418/526], Loss: 0.7828
Epoch [83/100], Step[419/526], Loss: 0.6701
Epoch [83/100], Step[420/526], Loss: 0.6789
Epoch [83/100], Step[421/526], Loss: 0.6607
Epoch [83/100], Step[422/526], Loss: 0.7587
Epoch [83/100], Step[423/526], Loss: 0.7010
Epoch [83/100], Step[424/526], Loss: 0.7561
Epoch [83/100], Step[425/526], Loss: 0.7128
Epoch [83/100], Step[426/526], Loss: 0.7466
Epoch [83/100], Step[427/526], Loss: 0.7052
Epoch [83/100], Step[428/526], Loss: 0.7082
Epoch [83/100], Step[429/526], Loss: 0.7468
Epoch [83/100], Step[430/526], Loss: 0.7792
Epoch [83/100], Step[431/526], Loss: 0.7079
Epoch [83/100], Step[432/526], Loss: 0.7159
Epoch [83/100], Step[433/526], Loss: 0.6693
Epoch [83/100], Step[434/526], Loss: 0.6046
Epoch [83/100], Step[435/526], Loss: 0.7670
Epoch [83/100], Step[436/526], Loss: 0.8095
Epoch [83/100], Step[437/526], Loss: 0.4876
Epoch [83/100], Step[438/526], Loss: 0.3805
Epoch [83/100], Step[439/526], Loss: 0.7183
Epoch [83/100], Step[440/526], Loss: 0.6831
Epoch [83/100], Step[441/526], Loss: 0.6981
Epoch [83/100], Step[442/526], Loss: 0.6548
Epoch [83/100], Step[443/526], Loss: 0.6679
Epoch [83/100], Step[444/526], Loss: 0.7587
Epoch [83/100], Step[445/526], Loss: 0.7182
Epoch [83/100], Step[446/526], Loss: 0.6936
Epoch [83/100], Step[447/526], Loss: 0.7328
Epoch [83/100], Step[448/526], Loss: 0.7241
Epoch [83/100], Step[449/526], Loss: 0.6705
Epoch [83/100], Step[450/526], Loss: 0.5958
Epoch [83/100], Step[451/526], Loss: 0.6776
Epoch [83/100], Step[452/526], Loss: 0.7348
Epoch [83/100], Step[453/526], Loss: 0.7037
Epoch [83/100], Step[454/526], Loss: 0.8408
Epoch [83/100], Step[455/526], Loss: 0.6365
Epoch [83/100], Step[456/526], Loss: 0.6209
Epoch [83/100], Step[457/526], Loss: 0.6977
Epoch [83/100], Step[458/526], Loss: 0.6854
Epoch [83/100], Step[459/526], Loss: 0.6488
Epoch [83/100], Step[460/526], Loss: 0.6136
Epoch [83/100], Step[461/526], Loss: 0.5834
Epoch [83/100], Step[462/526], Loss: 0.6459
Epoch [83/100], Step[463/526], Loss: 0.6358
Epoch [83/100], Step[464/526], Loss: 0.6089
Epoch [83/100], Step[465/526], Loss: 0.6381
Epoch [83/100], Step[466/526], Loss: 0.6591
Epoch [83/100], Step[467/526], Loss: 0.6370
Epoch [83/100], Step[468/526], Loss: 0.5819
Epoch [83/100], Step[469/526], Loss: 0.8547
Epoch [83/100], Step[470/526], Loss: 0.6608
Epoch [83/100], Step[471/526], Loss: 0.7005
Epoch [83/100], Step[472/526], Loss: 0.6791
Epoch [83/100], Step[473/526], Loss: 0.6777
Epoch [83/100], Step[474/526], Loss: 0.6701
Epoch [83/100], Step[475/526], Loss: 0.8623
Epoch [83/100], Step[476/526], Loss: 0.7446
Epoch [83/100], Step[477/526], Loss: 0.6846
Epoch [83/100], Step[478/526], Loss: 0.6938
Epoch [83/100], Step[479/526], Loss: 0.6624
Epoch [83/100], Step[480/526], Loss: 0.7348
Epoch [83/100], Step[481/526], Loss: 0.7393
Epoch [83/100], Step[482/526], Loss: 0.6543
Epoch [83/100], Step[483/526], Loss: 0.5282
Epoch [83/100], Step[484/526], Loss: 0.7321
Epoch [83/100], Step[485/526], Loss: 0.7829
Epoch [83/100], Step[486/526], Loss: 0.7460
Epoch [83/100], Step[487/526], Loss: 0.7669
Epoch [83/100], Step[488/526], Loss: 0.6575
Epoch [83/100], Step[489/526], Loss: 0.6104
Epoch [83/100], Step[490/526], Loss: 0.5887
Epoch [83/100], Step[491/526], Loss: 0.6737
Epoch [83/100], Step[492/526], Loss: 0.6443
Epoch [83/100], Step[493/526], Loss: 0.6305
Epoch [83/100], Step[494/526], Loss: 0.6846
Epoch [83/100], Step[495/526], Loss: 0.6891
Epoch [83/100], Step[496/526], Loss: 0.6498
Epoch [83/100], Step[497/526], Loss: 0.6269
Epoch [83/100], Step[498/526], Loss: 0.6774
Epoch [83/100], Step[499/526], Loss: 0.6637
Epoch [83/100], Step[500/526], Loss: 0.7220
Epoch [83/100], Step[501/526], Loss: 0.6667
Epoch [83/100], Step[502/526], Loss: 0.7025
Epoch [83/100], Step[503/526], Loss: 0.7103
Epoch [83/100], Step[504/526], Loss: 0.7104
Epoch [83/100], Step[505/526], Loss: 0.7266
Epoch [83/100], Step[506/526], Loss: 0.6553
Epoch [83/100], Step[507/526], Loss: 0.6790
Epoch [83/100], Step[508/526], Loss: 0.7030
Epoch [83/100], Step[509/526], Loss: 0.6333
Epoch [83/100], Step[510/526], Loss: 0.7007
Epoch [83/100], Step[511/526], Loss: 0.6339
Epoch [83/100], Step[512/526], Loss: 0.6584
Epoch [83/100], Step[513/526], Loss: 0.6349
Epoch [83/100], Step[514/526], Loss: 0.6535
Epoch [83/100], Step[515/526], Loss: 0.5553
Epoch [83/100], Step[516/526], Loss: 0.7556
Epoch [83/100], Step[517/526], Loss: 0.6906
Epoch [83/100], Step[518/526], Loss: 0.7415
Epoch [83/100], Step[519/526], Loss: 0.7248
Epoch [83/100], Step[520/526], Loss: 0.6861
Epoch [83/100], Step[521/526], Loss: 0.6677
Epoch [83/100], Step[522/526], Loss: 0.5821
Epoch [83/100], Step[523/526], Loss: 0.6435
Epoch [83/100], Step[524/526], Loss: 0.6177
Epoch [83/100], Step[525/526], Loss: 0.7655
Epoch [83/100], Step[526/526], Loss: 0.7159
Epoch [84/100], Step[1/526], Loss: 0.6554
Epoch [84/100], Step[2/526], Loss: 0.6436
Epoch [84/100], Step[3/526], Loss: 0.6613
Epoch [84/100], Step[4/526], Loss: 0.6312
Epoch [84/100], Step[5/526], Loss: 0.7411
Epoch [84/100], Step[6/526], Loss: 0.7500
Epoch [84/100], Step[7/526], Loss: 0.6894
Epoch [84/100], Step[8/526], Loss: 0.6747
Epoch [84/100], Step[9/526], Loss: 0.6989
Epoch [84/100], Step[10/526], Loss: 0.6580
Epoch [84/100], Step[11/526], Loss: 0.6844
Epoch [84/100], Step[12/526], Loss: 0.7409
Epoch [84/100], Step[13/526], Loss: 0.6085
Epoch [84/100], Step[14/526], Loss: 0.6710
Epoch [84/100], Step[15/526], Loss: 0.6729
Epoch [84/100], Step[16/526], Loss: 0.7125
Epoch [84/100], Step[17/526], Loss: 0.7186
Epoch [84/100], Step[18/526], Loss: 0.6638
Epoch [84/100], Step[19/526], Loss: 0.7160
Epoch [84/100], Step[20/526], Loss: 0.7519
Epoch [84/100], Step[21/526], Loss: 0.7684
Epoch [84/100], Step[22/526], Loss: 0.7482
Epoch [84/100], Step[23/526], Loss: 0.7392
Epoch [84/100], Step[24/526], Loss: 0.7263
Epoch [84/100], Step[25/526], Loss: 0.6955
Epoch [84/100], Step[26/526], Loss: 0.6154
Epoch [84/100], Step[27/526], Loss: 0.6776
Epoch [84/100], Step[28/526], Loss: 0.6974
Epoch [84/100], Step[29/526], Loss: 0.6411
Epoch [84/100], Step[30/526], Loss: 0.6962
Epoch [84/100], Step[31/526], Loss: 0.7105
Epoch [84/100], Step[32/526], Loss: 0.6715
Epoch [84/100], Step[33/526], Loss: 0.7150
Epoch [84/100], Step[34/526], Loss: 0.7044
Epoch [84/100], Step[35/526], Loss: 0.7341
Epoch [84/100], Step[36/526], Loss: 0.7040
Epoch [84/100], Step[37/526], Loss: 0.6901
Epoch [84/100], Step[38/526], Loss: 0.7211
Epoch [84/100], Step[39/526], Loss: 0.6821
Epoch [84/100], Step[40/526], Loss: 0.7082
Epoch [84/100], Step[41/526], Loss: 0.6620
Epoch [84/100], Step[42/526], Loss: 0.7278
Epoch [84/100], Step[43/526], Loss: 0.7123
Epoch [84/100], Step[44/526], Loss: 0.6961
Epoch [84/100], Step[45/526], Loss: 0.6967
Epoch [84/100], Step[46/526], Loss: 0.6763
Epoch [84/100], Step[47/526], Loss: 0.6907
Epoch [84/100], Step[48/526], Loss: 0.7186
Epoch [84/100], Step[49/526], Loss: 0.7029
Epoch [84/100], Step[50/526], Loss: 0.6985
Epoch [84/100], Step[51/526], Loss: 0.7016
Epoch [84/100], Step[52/526], Loss: 0.6795
Epoch [84/100], Step[53/526], Loss: 0.7189
Epoch [84/100], Step[54/526], Loss: 0.6975
Epoch [84/100], Step[55/526], Loss: 0.7005
Epoch [84/100], Step[56/526], Loss: 0.6741
Epoch [84/100], Step[57/526], Loss: 0.6875
Epoch [84/100], Step[58/526], Loss: 0.6681
Epoch [84/100], Step[59/526], Loss: 0.6610
Epoch [84/100], Step[60/526], Loss: 0.6575
Epoch [84/100], Step[61/526], Loss: 0.6561
Epoch [84/100], Step[62/526], Loss: 0.7076
Epoch [84/100], Step[63/526], Loss: 0.6814
Epoch [84/100], Step[64/526], Loss: 0.6715
Epoch [84/100], Step[65/526], Loss: 0.7202
Epoch [84/100], Step[66/526], Loss: 0.6791
Epoch [84/100], Step[67/526], Loss: 0.6350
Epoch [84/100], Step[68/526], Loss: 0.6565
Epoch [84/100], Step[69/526], Loss: 0.6862
Epoch [84/100], Step[70/526], Loss: 0.6750
Epoch [84/100], Step[71/526], Loss: 0.6610
Epoch [84/100], Step[72/526], Loss: 0.6825
Epoch [84/100], Step[73/526], Loss: 0.7160
Epoch [84/100], Step[74/526], Loss: 0.6593
Epoch [84/100], Step[75/526], Loss: 0.7067
Epoch [84/100], Step[76/526], Loss: 0.6973
Epoch [84/100], Step[77/526], Loss: 0.7044
Epoch [84/100], Step[78/526], Loss: 0.7051
Epoch [84/100], Step[79/526], Loss: 0.6933
Epoch [84/100], Step[80/526], Loss: 0.7048
Epoch [84/100], Step[81/526], Loss: 0.7013
Epoch [84/100], Step[82/526], Loss: 0.7291
Epoch [84/100], Step[83/526], Loss: 0.7000
Epoch [84/100], Step[84/526], Loss: 0.6886
Epoch [84/100], Step[85/526], Loss: 0.6569
Epoch [84/100], Step[86/526], Loss: 0.6774
Epoch [84/100], Step[87/526], Loss: 0.6848
Epoch [84/100], Step[88/526], Loss: 0.6912
Epoch [84/100], Step[89/526], Loss: 0.7302
Epoch [84/100], Step[90/526], Loss: 0.6749
Epoch [84/100], Step[91/526], Loss: 0.6898
Epoch [84/100], Step[92/526], Loss: 0.6691
Epoch [84/100], Step[93/526], Loss: 0.6961
Epoch [84/100], Step[94/526], Loss: 0.8061
Epoch [84/100], Step[95/526], Loss: 0.7192
Epoch [84/100], Step[96/526], Loss: 0.6151
Epoch [84/100], Step[97/526], Loss: 0.5766
Epoch [84/100], Step[98/526], Loss: 0.6843
Epoch [84/100], Step[99/526], Loss: 0.6827
Epoch [84/100], Step[100/526], Loss: 0.6455
Epoch [84/100], Step[101/526], Loss: 0.6617
Epoch [84/100], Step[102/526], Loss: 0.6209
Epoch [84/100], Step[103/526], Loss: 0.7273
Epoch [84/100], Step[104/526], Loss: 0.6511
Epoch [84/100], Step[105/526], Loss: 0.6071
Epoch [84/100], Step[106/526], Loss: 0.6845
Epoch [84/100], Step[107/526], Loss: 0.6091
Epoch [84/100], Step[108/526], Loss: 0.5891
Epoch [84/100], Step[109/526], Loss: 0.6525
Epoch [84/100], Step[110/526], Loss: 0.6834
Epoch [84/100], Step[111/526], Loss: 0.6024
Epoch [84/100], Step[112/526], Loss: 0.7335
Epoch [84/100], Step[113/526], Loss: 0.6049
Epoch [84/100], Step[114/526], Loss: 0.6434
Epoch [84/100], Step[115/526], Loss: 0.5922
Epoch [84/100], Step[116/526], Loss: 0.6354
Epoch [84/100], Step[117/526], Loss: 0.6964
Epoch [84/100], Step[118/526], Loss: 0.7662
Epoch [84/100], Step[119/526], Loss: 0.6783
Epoch [84/100], Step[120/526], Loss: 0.6704
Epoch [84/100], Step[121/526], Loss: 0.7037
Epoch [84/100], Step[122/526], Loss: 0.6090
Epoch [84/100], Step[123/526], Loss: 0.6516
Epoch [84/100], Step[124/526], Loss: 0.6694
Epoch [84/100], Step[125/526], Loss: 0.6356
Epoch [84/100], Step[126/526], Loss: 0.7134
Epoch [84/100], Step[127/526], Loss: 0.6629
Epoch [84/100], Step[128/526], Loss: 0.6232
Epoch [84/100], Step[129/526], Loss: 0.6069
Epoch [84/100], Step[130/526], Loss: 0.6478
Epoch [84/100], Step[131/526], Loss: 0.6725
Epoch [84/100], Step[132/526], Loss: 0.6990
Epoch [84/100], Step[133/526], Loss: 0.6596
Epoch [84/100], Step[134/526], Loss: 0.6301
Epoch [84/100], Step[135/526], Loss: 0.6420
Epoch [84/100], Step[136/526], Loss: 0.5608
Epoch [84/100], Step[137/526], Loss: 0.6469
Epoch [84/100], Step[138/526], Loss: 0.6473
Epoch [84/100], Step[139/526], Loss: 0.6932
Epoch [84/100], Step[140/526], Loss: 0.5836
Epoch [84/100], Step[141/526], Loss: 0.6624
Epoch [84/100], Step[142/526], Loss: 0.6786
Epoch [84/100], Step[143/526], Loss: 0.6909
Epoch [84/100], Step[144/526], Loss: 0.8091
Epoch [84/100], Step[145/526], Loss: 0.6054
Epoch [84/100], Step[146/526], Loss: 0.4858
Epoch [84/100], Step[147/526], Loss: 0.5080
Epoch [84/100], Step[148/526], Loss: 0.5871
Epoch [84/100], Step[149/526], Loss: 0.4832
Epoch [84/100], Step[150/526], Loss: 0.5563
Epoch [84/100], Step[151/526], Loss: 0.5405
Epoch [84/100], Step[152/526], Loss: 0.6398
Epoch [84/100], Step[153/526], Loss: 0.6494
Epoch [84/100], Step[154/526], Loss: 0.6937
Epoch [84/100], Step[155/526], Loss: 0.7182
Epoch [84/100], Step[156/526], Loss: 0.5409
Epoch [84/100], Step[157/526], Loss: 0.2764
Epoch [84/100], Step[158/526], Loss: 0.5935
Epoch [84/100], Step[159/526], Loss: 0.6557
Epoch [84/100], Step[160/526], Loss: 0.5582
Epoch [84/100], Step[161/526], Loss: 0.8131
Epoch [84/100], Step[162/526], Loss: 0.7133
Epoch [84/100], Step[163/526], Loss: 0.7255
Epoch [84/100], Step[164/526], Loss: 0.6106
Epoch [84/100], Step[165/526], Loss: 0.7297
Epoch [84/100], Step[166/526], Loss: 0.5262
Epoch [84/100], Step[167/526], Loss: 0.5582
Epoch [84/100], Step[168/526], Loss: 0.6905
Epoch [84/100], Step[169/526], Loss: 0.7399
Epoch [84/100], Step[170/526], Loss: 0.7112
Epoch [84/100], Step[171/526], Loss: 0.7384
Epoch [84/100], Step[172/526], Loss: 0.7136
Epoch [84/100], Step[173/526], Loss: 0.8214
Epoch [84/100], Step[174/526], Loss: 0.6330
Epoch [84/100], Step[175/526], Loss: 0.6710
Epoch [84/100], Step[176/526], Loss: 0.6247
Epoch [84/100], Step[177/526], Loss: 0.6682
Epoch [84/100], Step[178/526], Loss: 0.6909
Epoch [84/100], Step[179/526], Loss: 0.6248
Epoch [84/100], Step[180/526], Loss: 0.6724
Epoch [84/100], Step[181/526], Loss: 0.6543
Epoch [84/100], Step[182/526], Loss: 0.6673
Epoch [84/100], Step[183/526], Loss: 0.5494
Epoch [84/100], Step[184/526], Loss: 0.5951
Epoch [84/100], Step[185/526], Loss: 0.6068
Epoch [84/100], Step[186/526], Loss: 0.6340
Epoch [84/100], Step[187/526], Loss: 0.7583
Epoch [84/100], Step[188/526], Loss: 0.7197
Epoch [84/100], Step[189/526], Loss: 0.6649
Epoch [84/100], Step[190/526], Loss: 0.6831
Epoch [84/100], Step[191/526], Loss: 0.6871
Epoch [84/100], Step[192/526], Loss: 0.7941
Epoch [84/100], Step[193/526], Loss: 0.6246
Epoch [84/100], Step[194/526], Loss: 0.5976
Epoch [84/100], Step[195/526], Loss: 0.6244
Epoch [84/100], Step[196/526], Loss: 0.7309
Epoch [84/100], Step[197/526], Loss: 0.6416
Epoch [84/100], Step[198/526], Loss: 0.6041
Epoch [84/100], Step[199/526], Loss: 0.7423
Epoch [84/100], Step[200/526], Loss: 0.6683
Epoch [84/100], Step[201/526], Loss: 0.6870
Epoch [84/100], Step[202/526], Loss: 0.7934
Epoch [84/100], Step[203/526], Loss: 0.6733
Epoch [84/100], Step[204/526], Loss: 0.7598
Epoch [84/100], Step[205/526], Loss: 0.6865
Epoch [84/100], Step[206/526], Loss: 0.6824
Epoch [84/100], Step[207/526], Loss: 0.6939
Epoch [84/100], Step[208/526], Loss: 0.6862
Epoch [84/100], Step[209/526], Loss: 0.6976
Epoch [84/100], Step[210/526], Loss: 0.7413
Epoch [84/100], Step[211/526], Loss: 0.6221
Epoch [84/100], Step[212/526], Loss: 0.6939
Epoch [84/100], Step[213/526], Loss: 0.7090
Epoch [84/100], Step[214/526], Loss: 0.6900
Epoch [84/100], Step[215/526], Loss: 0.7060
Epoch [84/100], Step[216/526], Loss: 0.6890
Epoch [84/100], Step[217/526], Loss: 0.6469
Epoch [84/100], Step[218/526], Loss: 0.6833
Epoch [84/100], Step[219/526], Loss: 0.6783
Epoch [84/100], Step[220/526], Loss: 0.6977
Epoch [84/100], Step[221/526], Loss: 0.6878
Epoch [84/100], Step[222/526], Loss: 0.7017
Epoch [84/100], Step[223/526], Loss: 0.6072
Epoch [84/100], Step[224/526], Loss: 0.6555
Epoch [84/100], Step[225/526], Loss: 0.6477
Epoch [84/100], Step[226/526], Loss: 0.6526
Epoch [84/100], Step[227/526], Loss: 0.6588
Epoch [84/100], Step[228/526], Loss: 0.6914
Epoch [84/100], Step[229/526], Loss: 0.7210
Epoch [84/100], Step[230/526], Loss: 0.6223
Epoch [84/100], Step[231/526], Loss: 0.6232
Epoch [84/100], Step[232/526], Loss: 0.6297
Epoch [84/100], Step[233/526], Loss: 0.6833
Epoch [84/100], Step[234/526], Loss: 0.6311
Epoch [84/100], Step[235/526], Loss: 0.6708
Epoch [84/100], Step[236/526], Loss: 0.6835
Epoch [84/100], Step[237/526], Loss: 0.7248
Epoch [84/100], Step[238/526], Loss: 0.5887
Epoch [84/100], Step[239/526], Loss: 0.6508
Epoch [84/100], Step[240/526], Loss: 0.6525
Epoch [84/100], Step[241/526], Loss: 0.6282
Epoch [84/100], Step[242/526], Loss: 0.6249
Epoch [84/100], Step[243/526], Loss: 0.5935
Epoch [84/100], Step[244/526], Loss: 0.5686
Epoch [84/100], Step[245/526], Loss: 0.5954
Epoch [84/100], Step[246/526], Loss: 0.6554
Epoch [84/100], Step[247/526], Loss: 0.5153
Epoch [84/100], Step[248/526], Loss: 0.5508
Epoch [84/100], Step[249/526], Loss: 0.7393
Epoch [84/100], Step[250/526], Loss: 0.7293
Epoch [84/100], Step[251/526], Loss: 0.6513
Epoch [84/100], Step[252/526], Loss: 0.6929
Epoch [84/100], Step[253/526], Loss: 0.6236
Epoch [84/100], Step[254/526], Loss: 0.6668
Epoch [84/100], Step[255/526], Loss: 0.5821
Epoch [84/100], Step[256/526], Loss: 0.6577
Epoch [84/100], Step[257/526], Loss: 0.6270
Epoch [84/100], Step[258/526], Loss: 0.6245
Epoch [84/100], Step[259/526], Loss: 0.7142
Epoch [84/100], Step[260/526], Loss: 0.7281
Epoch [84/100], Step[261/526], Loss: 0.7618
Epoch [84/100], Step[262/526], Loss: 0.5845
Epoch [84/100], Step[263/526], Loss: 0.6490
Epoch [84/100], Step[264/526], Loss: 0.6216
Epoch [84/100], Step[265/526], Loss: 0.4084
Epoch [84/100], Step[266/526], Loss: 0.4096
Epoch [84/100], Step[267/526], Loss: 0.4517
Epoch [84/100], Step[268/526], Loss: 0.5810
Epoch [84/100], Step[269/526], Loss: 0.4519
Epoch [84/100], Step[270/526], Loss: 0.4170
Epoch [84/100], Step[271/526], Loss: 0.5563
Epoch [84/100], Step[272/526], Loss: 0.5485
Epoch [84/100], Step[273/526], Loss: 0.6554
Epoch [84/100], Step[274/526], Loss: 0.4495
Epoch [84/100], Step[275/526], Loss: 0.3980
Epoch [84/100], Step[276/526], Loss: 0.4999
Epoch [84/100], Step[277/526], Loss: 0.3615
Epoch [84/100], Step[278/526], Loss: 0.4733
Epoch [84/100], Step[279/526], Loss: 0.4390
Epoch [84/100], Step[280/526], Loss: 0.4825
Epoch [84/100], Step[281/526], Loss: 0.6846
Epoch [84/100], Step[282/526], Loss: 0.4228
Epoch [84/100], Step[283/526], Loss: 0.3876
Epoch [84/100], Step[284/526], Loss: 0.4453
Epoch [84/100], Step[285/526], Loss: 0.3018
Epoch [84/100], Step[286/526], Loss: 0.7196
Epoch [84/100], Step[287/526], Loss: 0.5193
Epoch [84/100], Step[288/526], Loss: 0.3923
Epoch [84/100], Step[289/526], Loss: 0.6037
Epoch [84/100], Step[290/526], Loss: 0.4419
Epoch [84/100], Step[291/526], Loss: 0.4705
Epoch [84/100], Step[292/526], Loss: 0.2880
Epoch [84/100], Step[293/526], Loss: 0.3106
Epoch [84/100], Step[294/526], Loss: 0.3437
Epoch [84/100], Step[295/526], Loss: 0.4325
Epoch [84/100], Step[296/526], Loss: 0.5973
Epoch [84/100], Step[297/526], Loss: 0.3468
Epoch [84/100], Step[298/526], Loss: 0.2906
Epoch [84/100], Step[299/526], Loss: 0.2487
Epoch [84/100], Step[300/526], Loss: 0.2704
Epoch [84/100], Step[301/526], Loss: 0.6294
Epoch [84/100], Step[302/526], Loss: 0.3729
Epoch [84/100], Step[303/526], Loss: 0.4375
Epoch [84/100], Step[304/526], Loss: 0.2704
Epoch [84/100], Step[305/526], Loss: 0.2663
Epoch [84/100], Step[306/526], Loss: 0.5729
Epoch [84/100], Step[307/526], Loss: 0.9180
Epoch [84/100], Step[308/526], Loss: 1.3231
Epoch [84/100], Step[309/526], Loss: 0.9651
Epoch [84/100], Step[310/526], Loss: 0.9244
Epoch [84/100], Step[311/526], Loss: 0.8222
Epoch [84/100], Step[312/526], Loss: 0.4864
Epoch [84/100], Step[313/526], Loss: 0.4361
Epoch [84/100], Step[314/526], Loss: 0.6076
Epoch [84/100], Step[315/526], Loss: 0.7585
Epoch [84/100], Step[316/526], Loss: 0.5025
Epoch [84/100], Step[317/526], Loss: 0.3314
Epoch [84/100], Step[318/526], Loss: 0.7758
Epoch [84/100], Step[319/526], Loss: 0.3695
Epoch [84/100], Step[320/526], Loss: 0.6444
Epoch [84/100], Step[321/526], Loss: 0.7475
Epoch [84/100], Step[322/526], Loss: 0.2789
Epoch [84/100], Step[323/526], Loss: 0.6020
Epoch [84/100], Step[324/526], Loss: 0.6583
Epoch [84/100], Step[325/526], Loss: 0.5751
Epoch [84/100], Step[326/526], Loss: 0.7646
Epoch [84/100], Step[327/526], Loss: 0.7509
Epoch [84/100], Step[328/526], Loss: 0.9359
Epoch [84/100], Step[329/526], Loss: 1.2899
Epoch [84/100], Step[330/526], Loss: 1.0335
Epoch [84/100], Step[331/526], Loss: 0.7873
Epoch [84/100], Step[332/526], Loss: 0.8930
Epoch [84/100], Step[333/526], Loss: 0.7315
Epoch [84/100], Step[334/526], Loss: 0.7792
Epoch [84/100], Step[335/526], Loss: 0.7395
Epoch [84/100], Step[336/526], Loss: 0.6638
Epoch [84/100], Step[337/526], Loss: 0.5830
Epoch [84/100], Step[338/526], Loss: 0.7228
Epoch [84/100], Step[339/526], Loss: 0.6631
Epoch [84/100], Step[340/526], Loss: 0.7241
Epoch [84/100], Step[341/526], Loss: 0.7429
Epoch [84/100], Step[342/526], Loss: 0.7567
Epoch [84/100], Step[343/526], Loss: 0.5310
Epoch [84/100], Step[344/526], Loss: 0.6978
Epoch [84/100], Step[345/526], Loss: 0.7161
Epoch [84/100], Step[346/526], Loss: 0.6719
Epoch [84/100], Step[347/526], Loss: 0.7168
Epoch [84/100], Step[348/526], Loss: 0.6271
Epoch [84/100], Step[349/526], Loss: 0.5747
Epoch [84/100], Step[350/526], Loss: 0.6497
Epoch [84/100], Step[351/526], Loss: 0.6924
Epoch [84/100], Step[352/526], Loss: 0.6317
Epoch [84/100], Step[353/526], Loss: 0.6676
Epoch [84/100], Step[354/526], Loss: 0.6818
Epoch [84/100], Step[355/526], Loss: 0.6700
Epoch [84/100], Step[356/526], Loss: 0.6905
Epoch [84/100], Step[357/526], Loss: 0.6374
Epoch [84/100], Step[358/526], Loss: 0.7149
Epoch [84/100], Step[359/526], Loss: 0.6355
Epoch [84/100], Step[360/526], Loss: 0.6731
Epoch [84/100], Step[361/526], Loss: 0.7080
Epoch [84/100], Step[362/526], Loss: 0.6944
Epoch [84/100], Step[363/526], Loss: 0.6995
Epoch [84/100], Step[364/526], Loss: 0.7293
Epoch [84/100], Step[365/526], Loss: 0.7391
Epoch [84/100], Step[366/526], Loss: 0.6848
Epoch [84/100], Step[367/526], Loss: 0.6764
Epoch [84/100], Step[368/526], Loss: 0.6587
Epoch [84/100], Step[369/526], Loss: 0.6330
Epoch [84/100], Step[370/526], Loss: 0.5414
Epoch [84/100], Step[371/526], Loss: 0.7351
Epoch [84/100], Step[372/526], Loss: 0.6371
Epoch [84/100], Step[373/526], Loss: 0.6716
Epoch [84/100], Step[374/526], Loss: 0.6965
Epoch [84/100], Step[375/526], Loss: 0.6283
Epoch [84/100], Step[376/526], Loss: 0.6154
Epoch [84/100], Step[377/526], Loss: 0.6803
Epoch [84/100], Step[378/526], Loss: 0.6701
Epoch [84/100], Step[379/526], Loss: 0.7950
Epoch [84/100], Step[380/526], Loss: 0.5970
Epoch [84/100], Step[381/526], Loss: 0.5796
Epoch [84/100], Step[382/526], Loss: 0.6643
Epoch [84/100], Step[383/526], Loss: 0.6854
Epoch [84/100], Step[384/526], Loss: 0.6337
Epoch [84/100], Step[385/526], Loss: 0.6328
Epoch [84/100], Step[386/526], Loss: 0.6182
Epoch [84/100], Step[387/526], Loss: 0.6484
Epoch [84/100], Step[388/526], Loss: 0.5765
Epoch [84/100], Step[389/526], Loss: 0.7382
Epoch [84/100], Step[390/526], Loss: 0.5609
Epoch [84/100], Step[391/526], Loss: 0.6189
Epoch [84/100], Step[392/526], Loss: 0.7320
Epoch [84/100], Step[393/526], Loss: 0.5804
Epoch [84/100], Step[394/526], Loss: 0.5043
Epoch [84/100], Step[395/526], Loss: 0.5942
Epoch [84/100], Step[396/526], Loss: 0.6247
Epoch [84/100], Step[397/526], Loss: 0.4775
Epoch [84/100], Step[398/526], Loss: 0.6100
Epoch [84/100], Step[399/526], Loss: 0.6664
Epoch [84/100], Step[400/526], Loss: 0.4670
Epoch [84/100], Step[401/526], Loss: 0.5979
Epoch [84/100], Step[402/526], Loss: 0.6338
Epoch [84/100], Step[403/526], Loss: 0.7503
Epoch [84/100], Step[404/526], Loss: 0.4717
Epoch [84/100], Step[405/526], Loss: 0.4839
Epoch [84/100], Step[406/526], Loss: 0.6411
Epoch [84/100], Step[407/526], Loss: 0.7641
Epoch [84/100], Step[408/526], Loss: 0.6610
Epoch [84/100], Step[409/526], Loss: 0.4786
Epoch [84/100], Step[410/526], Loss: 0.5045
Epoch [84/100], Step[411/526], Loss: 0.5315
Epoch [84/100], Step[412/526], Loss: 0.5989
Epoch [84/100], Step[413/526], Loss: 0.6050
Epoch [84/100], Step[414/526], Loss: 0.6500
Epoch [84/100], Step[415/526], Loss: 0.6028
Epoch [84/100], Step[416/526], Loss: 0.5948
Epoch [84/100], Step[417/526], Loss: 0.4710
Epoch [84/100], Step[418/526], Loss: 0.7850
Epoch [84/100], Step[419/526], Loss: 0.6694
Epoch [84/100], Step[420/526], Loss: 0.6816
Epoch [84/100], Step[421/526], Loss: 0.6605
Epoch [84/100], Step[422/526], Loss: 0.7575
Epoch [84/100], Step[423/526], Loss: 0.7018
Epoch [84/100], Step[424/526], Loss: 0.7551
Epoch [84/100], Step[425/526], Loss: 0.7117
Epoch [84/100], Step[426/526], Loss: 0.7470
Epoch [84/100], Step[427/526], Loss: 0.7057
Epoch [84/100], Step[428/526], Loss: 0.7079
Epoch [84/100], Step[429/526], Loss: 0.7473
Epoch [84/100], Step[430/526], Loss: 0.7798
Epoch [84/100], Step[431/526], Loss: 0.7079
Epoch [84/100], Step[432/526], Loss: 0.7159
Epoch [84/100], Step[433/526], Loss: 0.6695
Epoch [84/100], Step[434/526], Loss: 0.6054
Epoch [84/100], Step[435/526], Loss: 0.7706
Epoch [84/100], Step[436/526], Loss: 0.8124
Epoch [84/100], Step[437/526], Loss: 0.4879
Epoch [84/100], Step[438/526], Loss: 0.3784
Epoch [84/100], Step[439/526], Loss: 0.7177
Epoch [84/100], Step[440/526], Loss: 0.6841
Epoch [84/100], Step[441/526], Loss: 0.6990
Epoch [84/100], Step[442/526], Loss: 0.6541
Epoch [84/100], Step[443/526], Loss: 0.6675
Epoch [84/100], Step[444/526], Loss: 0.7587
Epoch [84/100], Step[445/526], Loss: 0.7182
Epoch [84/100], Step[446/526], Loss: 0.6928
Epoch [84/100], Step[447/526], Loss: 0.7324
Epoch [84/100], Step[448/526], Loss: 0.7260
Epoch [84/100], Step[449/526], Loss: 0.6702
Epoch [84/100], Step[450/526], Loss: 0.5950
Epoch [84/100], Step[451/526], Loss: 0.6780
Epoch [84/100], Step[452/526], Loss: 0.7350
Epoch [84/100], Step[453/526], Loss: 0.7037
Epoch [84/100], Step[454/526], Loss: 0.8444
Epoch [84/100], Step[455/526], Loss: 0.6293
Epoch [84/100], Step[456/526], Loss: 0.6215
Epoch [84/100], Step[457/526], Loss: 0.6971
Epoch [84/100], Step[458/526], Loss: 0.6916
Epoch [84/100], Step[459/526], Loss: 0.6479
Epoch [84/100], Step[460/526], Loss: 0.6212
Epoch [84/100], Step[461/526], Loss: 0.5835
Epoch [84/100], Step[462/526], Loss: 0.6463
Epoch [84/100], Step[463/526], Loss: 0.6352
Epoch [84/100], Step[464/526], Loss: 0.6093
Epoch [84/100], Step[465/526], Loss: 0.6393
Epoch [84/100], Step[466/526], Loss: 0.6624
Epoch [84/100], Step[467/526], Loss: 0.6311
Epoch [84/100], Step[468/526], Loss: 0.5822
Epoch [84/100], Step[469/526], Loss: 0.8530
Epoch [84/100], Step[470/526], Loss: 0.6601
Epoch [84/100], Step[471/526], Loss: 0.6983
Epoch [84/100], Step[472/526], Loss: 0.6801
Epoch [84/100], Step[473/526], Loss: 0.6774
Epoch [84/100], Step[474/526], Loss: 0.6698
Epoch [84/100], Step[475/526], Loss: 0.8642
Epoch [84/100], Step[476/526], Loss: 0.7449
Epoch [84/100], Step[477/526], Loss: 0.6833
Epoch [84/100], Step[478/526], Loss: 0.6930
Epoch [84/100], Step[479/526], Loss: 0.6613
Epoch [84/100], Step[480/526], Loss: 0.7330
Epoch [84/100], Step[481/526], Loss: 0.7414
Epoch [84/100], Step[482/526], Loss: 0.6581
Epoch [84/100], Step[483/526], Loss: 0.5305
Epoch [84/100], Step[484/526], Loss: 0.7310
Epoch [84/100], Step[485/526], Loss: 0.7851
Epoch [84/100], Step[486/526], Loss: 0.7470
Epoch [84/100], Step[487/526], Loss: 0.7704
Epoch [84/100], Step[488/526], Loss: 0.6579
Epoch [84/100], Step[489/526], Loss: 0.6112
Epoch [84/100], Step[490/526], Loss: 0.5901
Epoch [84/100], Step[491/526], Loss: 0.6794
Epoch [84/100], Step[492/526], Loss: 0.6423
Epoch [84/100], Step[493/526], Loss: 0.6306
Epoch [84/100], Step[494/526], Loss: 0.6854
Epoch [84/100], Step[495/526], Loss: 0.6920
Epoch [84/100], Step[496/526], Loss: 0.6501
Epoch [84/100], Step[497/526], Loss: 0.6295
Epoch [84/100], Step[498/526], Loss: 0.6781
Epoch [84/100], Step[499/526], Loss: 0.6612
Epoch [84/100], Step[500/526], Loss: 0.7142
Epoch [84/100], Step[501/526], Loss: 0.6698
Epoch [84/100], Step[502/526], Loss: 0.7003
Epoch [84/100], Step[503/526], Loss: 0.7099
Epoch [84/100], Step[504/526], Loss: 0.7084
Epoch [84/100], Step[505/526], Loss: 0.7278
Epoch [84/100], Step[506/526], Loss: 0.6565
Epoch [84/100], Step[507/526], Loss: 0.6792
Epoch [84/100], Step[508/526], Loss: 0.7028
Epoch [84/100], Step[509/526], Loss: 0.6330
Epoch [84/100], Step[510/526], Loss: 0.7004
Epoch [84/100], Step[511/526], Loss: 0.6338
Epoch [84/100], Step[512/526], Loss: 0.6587
Epoch [84/100], Step[513/526], Loss: 0.6318
Epoch [84/100], Step[514/526], Loss: 0.6534
Epoch [84/100], Step[515/526], Loss: 0.5545
Epoch [84/100], Step[516/526], Loss: 0.7570
Epoch [84/100], Step[517/526], Loss: 0.6885
Epoch [84/100], Step[518/526], Loss: 0.7427
Epoch [84/100], Step[519/526], Loss: 0.7248
Epoch [84/100], Step[520/526], Loss: 0.6860
Epoch [84/100], Step[521/526], Loss: 0.6646
Epoch [84/100], Step[522/526], Loss: 0.5801
Epoch [84/100], Step[523/526], Loss: 0.6440
Epoch [84/100], Step[524/526], Loss: 0.6151
Epoch [84/100], Step[525/526], Loss: 0.7639
Epoch [84/100], Step[526/526], Loss: 0.7267
Epoch [85/100], Step[1/526], Loss: 0.6558
Epoch [85/100], Step[2/526], Loss: 0.6440
Epoch [85/100], Step[3/526], Loss: 0.6646
Epoch [85/100], Step[4/526], Loss: 0.6307
Epoch [85/100], Step[5/526], Loss: 0.7404
Epoch [85/100], Step[6/526], Loss: 0.7516
Epoch [85/100], Step[7/526], Loss: 0.6847
Epoch [85/100], Step[8/526], Loss: 0.6740
Epoch [85/100], Step[9/526], Loss: 0.6959
Epoch [85/100], Step[10/526], Loss: 0.6510
Epoch [85/100], Step[11/526], Loss: 0.7008
Epoch [85/100], Step[12/526], Loss: 0.7476
Epoch [85/100], Step[13/526], Loss: 0.6065
Epoch [85/100], Step[14/526], Loss: 0.6684
Epoch [85/100], Step[15/526], Loss: 0.6724
Epoch [85/100], Step[16/526], Loss: 0.7116
Epoch [85/100], Step[17/526], Loss: 0.7191
Epoch [85/100], Step[18/526], Loss: 0.6537
Epoch [85/100], Step[19/526], Loss: 0.7091
Epoch [85/100], Step[20/526], Loss: 0.7511
Epoch [85/100], Step[21/526], Loss: 0.7684
Epoch [85/100], Step[22/526], Loss: 0.7501
Epoch [85/100], Step[23/526], Loss: 0.7378
Epoch [85/100], Step[24/526], Loss: 0.7268
Epoch [85/100], Step[25/526], Loss: 0.6968
Epoch [85/100], Step[26/526], Loss: 0.6189
Epoch [85/100], Step[27/526], Loss: 0.6785
Epoch [85/100], Step[28/526], Loss: 0.6938
Epoch [85/100], Step[29/526], Loss: 0.6419
Epoch [85/100], Step[30/526], Loss: 0.6981
Epoch [85/100], Step[31/526], Loss: 0.7093
Epoch [85/100], Step[32/526], Loss: 0.6734
Epoch [85/100], Step[33/526], Loss: 0.7119
Epoch [85/100], Step[34/526], Loss: 0.7045
Epoch [85/100], Step[35/526], Loss: 0.7341
Epoch [85/100], Step[36/526], Loss: 0.7047
Epoch [85/100], Step[37/526], Loss: 0.6899
Epoch [85/100], Step[38/526], Loss: 0.7214
Epoch [85/100], Step[39/526], Loss: 0.6817
Epoch [85/100], Step[40/526], Loss: 0.7079
Epoch [85/100], Step[41/526], Loss: 0.6624
Epoch [85/100], Step[42/526], Loss: 0.7271
Epoch [85/100], Step[43/526], Loss: 0.7124
Epoch [85/100], Step[44/526], Loss: 0.6964
Epoch [85/100], Step[45/526], Loss: 0.6973
Epoch [85/100], Step[46/526], Loss: 0.6787
Epoch [85/100], Step[47/526], Loss: 0.6908
Epoch [85/100], Step[48/526], Loss: 0.7204
Epoch [85/100], Step[49/526], Loss: 0.7038
Epoch [85/100], Step[50/526], Loss: 0.7006
Epoch [85/100], Step[51/526], Loss: 0.7014
Epoch [85/100], Step[52/526], Loss: 0.6795
Epoch [85/100], Step[53/526], Loss: 0.7199
Epoch [85/100], Step[54/526], Loss: 0.6971
Epoch [85/100], Step[55/526], Loss: 0.6960
Epoch [85/100], Step[56/526], Loss: 0.6769
Epoch [85/100], Step[57/526], Loss: 0.6873
Epoch [85/100], Step[58/526], Loss: 0.6679
Epoch [85/100], Step[59/526], Loss: 0.6610
Epoch [85/100], Step[60/526], Loss: 0.6577
Epoch [85/100], Step[61/526], Loss: 0.6556
Epoch [85/100], Step[62/526], Loss: 0.7075
Epoch [85/100], Step[63/526], Loss: 0.6813
Epoch [85/100], Step[64/526], Loss: 0.6769
Epoch [85/100], Step[65/526], Loss: 0.7209
Epoch [85/100], Step[66/526], Loss: 0.6810
Epoch [85/100], Step[67/526], Loss: 0.6368
Epoch [85/100], Step[68/526], Loss: 0.6568
Epoch [85/100], Step[69/526], Loss: 0.6852
Epoch [85/100], Step[70/526], Loss: 0.6735
Epoch [85/100], Step[71/526], Loss: 0.6603
Epoch [85/100], Step[72/526], Loss: 0.6861
Epoch [85/100], Step[73/526], Loss: 0.7158
Epoch [85/100], Step[74/526], Loss: 0.6593
Epoch [85/100], Step[75/526], Loss: 0.7073
Epoch [85/100], Step[76/526], Loss: 0.6980
Epoch [85/100], Step[77/526], Loss: 0.7044
Epoch [85/100], Step[78/526], Loss: 0.7015
Epoch [85/100], Step[79/526], Loss: 0.7002
Epoch [85/100], Step[80/526], Loss: 0.7049
Epoch [85/100], Step[81/526], Loss: 0.7027
Epoch [85/100], Step[82/526], Loss: 0.7272
Epoch [85/100], Step[83/526], Loss: 0.7033
Epoch [85/100], Step[84/526], Loss: 0.6876
Epoch [85/100], Step[85/526], Loss: 0.6647
Epoch [85/100], Step[86/526], Loss: 0.6774
Epoch [85/100], Step[87/526], Loss: 0.6875
Epoch [85/100], Step[88/526], Loss: 0.6926
Epoch [85/100], Step[89/526], Loss: 0.7305
Epoch [85/100], Step[90/526], Loss: 0.6673
Epoch [85/100], Step[91/526], Loss: 0.6913
Epoch [85/100], Step[92/526], Loss: 0.6727
Epoch [85/100], Step[93/526], Loss: 0.6970
Epoch [85/100], Step[94/526], Loss: 0.8066
Epoch [85/100], Step[95/526], Loss: 0.7215
Epoch [85/100], Step[96/526], Loss: 0.6197
Epoch [85/100], Step[97/526], Loss: 0.5770
Epoch [85/100], Step[98/526], Loss: 0.6842
Epoch [85/100], Step[99/526], Loss: 0.6831
Epoch [85/100], Step[100/526], Loss: 0.6429
Epoch [85/100], Step[101/526], Loss: 0.6639
Epoch [85/100], Step[102/526], Loss: 0.6212
Epoch [85/100], Step[103/526], Loss: 0.7253
Epoch [85/100], Step[104/526], Loss: 0.6513
Epoch [85/100], Step[105/526], Loss: 0.6084
Epoch [85/100], Step[106/526], Loss: 0.6850
Epoch [85/100], Step[107/526], Loss: 0.6098
Epoch [85/100], Step[108/526], Loss: 0.5895
Epoch [85/100], Step[109/526], Loss: 0.6516
Epoch [85/100], Step[110/526], Loss: 0.6832
Epoch [85/100], Step[111/526], Loss: 0.6031
Epoch [85/100], Step[112/526], Loss: 0.7323
Epoch [85/100], Step[113/526], Loss: 0.6047
Epoch [85/100], Step[114/526], Loss: 0.6419
Epoch [85/100], Step[115/526], Loss: 0.5917
Epoch [85/100], Step[116/526], Loss: 0.6361
Epoch [85/100], Step[117/526], Loss: 0.6973
Epoch [85/100], Step[118/526], Loss: 0.7672
Epoch [85/100], Step[119/526], Loss: 0.6787
Epoch [85/100], Step[120/526], Loss: 0.6720
Epoch [85/100], Step[121/526], Loss: 0.6997
Epoch [85/100], Step[122/526], Loss: 0.6051
Epoch [85/100], Step[123/526], Loss: 0.6568
Epoch [85/100], Step[124/526], Loss: 0.6697
Epoch [85/100], Step[125/526], Loss: 0.6356
Epoch [85/100], Step[126/526], Loss: 0.7140
Epoch [85/100], Step[127/526], Loss: 0.6630
Epoch [85/100], Step[128/526], Loss: 0.6229
Epoch [85/100], Step[129/526], Loss: 0.6008
Epoch [85/100], Step[130/526], Loss: 0.6433
Epoch [85/100], Step[131/526], Loss: 0.6723
Epoch [85/100], Step[132/526], Loss: 0.7057
Epoch [85/100], Step[133/526], Loss: 0.6677
Epoch [85/100], Step[134/526], Loss: 0.6294
Epoch [85/100], Step[135/526], Loss: 0.6431
Epoch [85/100], Step[136/526], Loss: 0.5602
Epoch [85/100], Step[137/526], Loss: 0.6461
Epoch [85/100], Step[138/526], Loss: 0.6489
Epoch [85/100], Step[139/526], Loss: 0.6934
Epoch [85/100], Step[140/526], Loss: 0.5844
Epoch [85/100], Step[141/526], Loss: 0.6609
Epoch [85/100], Step[142/526], Loss: 0.6784
Epoch [85/100], Step[143/526], Loss: 0.6913
Epoch [85/100], Step[144/526], Loss: 0.7655
Epoch [85/100], Step[145/526], Loss: 0.5204
Epoch [85/100], Step[146/526], Loss: 0.4989
Epoch [85/100], Step[147/526], Loss: 0.4832
Epoch [85/100], Step[148/526], Loss: 0.5925
Epoch [85/100], Step[149/526], Loss: 0.4947
Epoch [85/100], Step[150/526], Loss: 0.5590
Epoch [85/100], Step[151/526], Loss: 0.5476
Epoch [85/100], Step[152/526], Loss: 0.6329
Epoch [85/100], Step[153/526], Loss: 0.6509
Epoch [85/100], Step[154/526], Loss: 0.6972
Epoch [85/100], Step[155/526], Loss: 0.7238
Epoch [85/100], Step[156/526], Loss: 0.5413
Epoch [85/100], Step[157/526], Loss: 0.2800
Epoch [85/100], Step[158/526], Loss: 0.5928
Epoch [85/100], Step[159/526], Loss: 0.6563
Epoch [85/100], Step[160/526], Loss: 0.5628
Epoch [85/100], Step[161/526], Loss: 0.8082
Epoch [85/100], Step[162/526], Loss: 0.7146
Epoch [85/100], Step[163/526], Loss: 0.7270
Epoch [85/100], Step[164/526], Loss: 0.6182
Epoch [85/100], Step[165/526], Loss: 0.7379
Epoch [85/100], Step[166/526], Loss: 0.5292
Epoch [85/100], Step[167/526], Loss: 0.5647
Epoch [85/100], Step[168/526], Loss: 0.6857
Epoch [85/100], Step[169/526], Loss: 0.7383
Epoch [85/100], Step[170/526], Loss: 0.7027
Epoch [85/100], Step[171/526], Loss: 0.7364
Epoch [85/100], Step[172/526], Loss: 0.7120
Epoch [85/100], Step[173/526], Loss: 0.8155
Epoch [85/100], Step[174/526], Loss: 0.6325
Epoch [85/100], Step[175/526], Loss: 0.6781
Epoch [85/100], Step[176/526], Loss: 0.6168
Epoch [85/100], Step[177/526], Loss: 0.6674
Epoch [85/100], Step[178/526], Loss: 0.6898
Epoch [85/100], Step[179/526], Loss: 0.6186
Epoch [85/100], Step[180/526], Loss: 0.6781
Epoch [85/100], Step[181/526], Loss: 0.6537
Epoch [85/100], Step[182/526], Loss: 0.6666
Epoch [85/100], Step[183/526], Loss: 0.5494
Epoch [85/100], Step[184/526], Loss: 0.6166
Epoch [85/100], Step[185/526], Loss: 0.6114
Epoch [85/100], Step[186/526], Loss: 0.6418
Epoch [85/100], Step[187/526], Loss: 0.7560
Epoch [85/100], Step[188/526], Loss: 0.6963
Epoch [85/100], Step[189/526], Loss: 0.6601
Epoch [85/100], Step[190/526], Loss: 0.6823
Epoch [85/100], Step[191/526], Loss: 0.6913
Epoch [85/100], Step[192/526], Loss: 0.7964
Epoch [85/100], Step[193/526], Loss: 0.6468
Epoch [85/100], Step[194/526], Loss: 0.5960
Epoch [85/100], Step[195/526], Loss: 0.6551
Epoch [85/100], Step[196/526], Loss: 0.7261
Epoch [85/100], Step[197/526], Loss: 0.6599
Epoch [85/100], Step[198/526], Loss: 0.6135
Epoch [85/100], Step[199/526], Loss: 0.7452
Epoch [85/100], Step[200/526], Loss: 0.6799
Epoch [85/100], Step[201/526], Loss: 0.6747
Epoch [85/100], Step[202/526], Loss: 0.7458
Epoch [85/100], Step[203/526], Loss: 0.7003
Epoch [85/100], Step[204/526], Loss: 0.7171
Epoch [85/100], Step[205/526], Loss: 0.6916
Epoch [85/100], Step[206/526], Loss: 0.6837
Epoch [85/100], Step[207/526], Loss: 0.7058
Epoch [85/100], Step[208/526], Loss: 0.6828
Epoch [85/100], Step[209/526], Loss: 0.6800
Epoch [85/100], Step[210/526], Loss: 0.7572
Epoch [85/100], Step[211/526], Loss: 0.6289
Epoch [85/100], Step[212/526], Loss: 0.6834
Epoch [85/100], Step[213/526], Loss: 0.7149
Epoch [85/100], Step[214/526], Loss: 0.7076
Epoch [85/100], Step[215/526], Loss: 0.6885
Epoch [85/100], Step[216/526], Loss: 0.6732
Epoch [85/100], Step[217/526], Loss: 0.6523
Epoch [85/100], Step[218/526], Loss: 0.6929
Epoch [85/100], Step[219/526], Loss: 0.6882
Epoch [85/100], Step[220/526], Loss: 0.7139
Epoch [85/100], Step[221/526], Loss: 0.6871
Epoch [85/100], Step[222/526], Loss: 0.7177
Epoch [85/100], Step[223/526], Loss: 0.6262
Epoch [85/100], Step[224/526], Loss: 0.6607
Epoch [85/100], Step[225/526], Loss: 0.6777
Epoch [85/100], Step[226/526], Loss: 0.6581
Epoch [85/100], Step[227/526], Loss: 0.6596
Epoch [85/100], Step[228/526], Loss: 0.6774
Epoch [85/100], Step[229/526], Loss: 0.7027
Epoch [85/100], Step[230/526], Loss: 0.6336
Epoch [85/100], Step[231/526], Loss: 0.6371
Epoch [85/100], Step[232/526], Loss: 0.6453
Epoch [85/100], Step[233/526], Loss: 0.6793
Epoch [85/100], Step[234/526], Loss: 0.6199
Epoch [85/100], Step[235/526], Loss: 0.6700
Epoch [85/100], Step[236/526], Loss: 0.6792
Epoch [85/100], Step[237/526], Loss: 0.7232
Epoch [85/100], Step[238/526], Loss: 0.5980
Epoch [85/100], Step[239/526], Loss: 0.6522
Epoch [85/100], Step[240/526], Loss: 0.6554
Epoch [85/100], Step[241/526], Loss: 0.6284
Epoch [85/100], Step[242/526], Loss: 0.6201
Epoch [85/100], Step[243/526], Loss: 0.5871
Epoch [85/100], Step[244/526], Loss: 0.5668
Epoch [85/100], Step[245/526], Loss: 0.5946
Epoch [85/100], Step[246/526], Loss: 0.6556
Epoch [85/100], Step[247/526], Loss: 0.5133
Epoch [85/100], Step[248/526], Loss: 0.5539
Epoch [85/100], Step[249/526], Loss: 0.7531
Epoch [85/100], Step[250/526], Loss: 0.7399
Epoch [85/100], Step[251/526], Loss: 0.6599
Epoch [85/100], Step[252/526], Loss: 0.6917
Epoch [85/100], Step[253/526], Loss: 0.6225
Epoch [85/100], Step[254/526], Loss: 0.6694
Epoch [85/100], Step[255/526], Loss: 0.5865
Epoch [85/100], Step[256/526], Loss: 0.6558
Epoch [85/100], Step[257/526], Loss: 0.6271
Epoch [85/100], Step[258/526], Loss: 0.6273
Epoch [85/100], Step[259/526], Loss: 0.7126
Epoch [85/100], Step[260/526], Loss: 0.7221
Epoch [85/100], Step[261/526], Loss: 0.7530
Epoch [85/100], Step[262/526], Loss: 0.5826
Epoch [85/100], Step[263/526], Loss: 0.6452
Epoch [85/100], Step[264/526], Loss: 0.6153
Epoch [85/100], Step[265/526], Loss: 0.4014
Epoch [85/100], Step[266/526], Loss: 0.4000
Epoch [85/100], Step[267/526], Loss: 0.4539
Epoch [85/100], Step[268/526], Loss: 0.5795
Epoch [85/100], Step[269/526], Loss: 0.4563
Epoch [85/100], Step[270/526], Loss: 0.4173
Epoch [85/100], Step[271/526], Loss: 0.5573
Epoch [85/100], Step[272/526], Loss: 0.5505
Epoch [85/100], Step[273/526], Loss: 0.6531
Epoch [85/100], Step[274/526], Loss: 0.4529
Epoch [85/100], Step[275/526], Loss: 0.4007
Epoch [85/100], Step[276/526], Loss: 0.4960
Epoch [85/100], Step[277/526], Loss: 0.3615
Epoch [85/100], Step[278/526], Loss: 0.4780
Epoch [85/100], Step[279/526], Loss: 0.4434
Epoch [85/100], Step[280/526], Loss: 0.4922
Epoch [85/100], Step[281/526], Loss: 0.6936
Epoch [85/100], Step[282/526], Loss: 0.4283
Epoch [85/100], Step[283/526], Loss: 0.3844
Epoch [85/100], Step[284/526], Loss: 0.4461
Epoch [85/100], Step[285/526], Loss: 0.3014
Epoch [85/100], Step[286/526], Loss: 0.7180
Epoch [85/100], Step[287/526], Loss: 0.5207
Epoch [85/100], Step[288/526], Loss: 0.3930
Epoch [85/100], Step[289/526], Loss: 0.6035
Epoch [85/100], Step[290/526], Loss: 0.4475
Epoch [85/100], Step[291/526], Loss: 0.4653
Epoch [85/100], Step[292/526], Loss: 0.2914
Epoch [85/100], Step[293/526], Loss: 0.3135
Epoch [85/100], Step[294/526], Loss: 0.3443
Epoch [85/100], Step[295/526], Loss: 0.4343
Epoch [85/100], Step[296/526], Loss: 0.5980
Epoch [85/100], Step[297/526], Loss: 0.3509
Epoch [85/100], Step[298/526], Loss: 0.2925
Epoch [85/100], Step[299/526], Loss: 0.2523
Epoch [85/100], Step[300/526], Loss: 0.2740
Epoch [85/100], Step[301/526], Loss: 0.6304
Epoch [85/100], Step[302/526], Loss: 0.3759
Epoch [85/100], Step[303/526], Loss: 0.4368
Epoch [85/100], Step[304/526], Loss: 0.2721
Epoch [85/100], Step[305/526], Loss: 0.2694
Epoch [85/100], Step[306/526], Loss: 0.5698
Epoch [85/100], Step[307/526], Loss: 0.9092
Epoch [85/100], Step[308/526], Loss: 1.3184
Epoch [85/100], Step[309/526], Loss: 0.9586
Epoch [85/100], Step[310/526], Loss: 0.9180
Epoch [85/100], Step[311/526], Loss: 0.8177
Epoch [85/100], Step[312/526], Loss: 0.4854
Epoch [85/100], Step[313/526], Loss: 0.4417
Epoch [85/100], Step[314/526], Loss: 0.6108
Epoch [85/100], Step[315/526], Loss: 0.7582
Epoch [85/100], Step[316/526], Loss: 0.5005
Epoch [85/100], Step[317/526], Loss: 0.3336
Epoch [85/100], Step[318/526], Loss: 0.7793
Epoch [85/100], Step[319/526], Loss: 0.3665
Epoch [85/100], Step[320/526], Loss: 0.6481
Epoch [85/100], Step[321/526], Loss: 0.7422
Epoch [85/100], Step[322/526], Loss: 0.2798
Epoch [85/100], Step[323/526], Loss: 0.6088
Epoch [85/100], Step[324/526], Loss: 0.6629
Epoch [85/100], Step[325/526], Loss: 0.5809
Epoch [85/100], Step[326/526], Loss: 0.7607
Epoch [85/100], Step[327/526], Loss: 0.7407
Epoch [85/100], Step[328/526], Loss: 0.9340
Epoch [85/100], Step[329/526], Loss: 1.2888
Epoch [85/100], Step[330/526], Loss: 1.0346
Epoch [85/100], Step[331/526], Loss: 0.7830
Epoch [85/100], Step[332/526], Loss: 0.8560
Epoch [85/100], Step[333/526], Loss: 0.7327
Epoch [85/100], Step[334/526], Loss: 0.7635
Epoch [85/100], Step[335/526], Loss: 0.7484
Epoch [85/100], Step[336/526], Loss: 0.6537
Epoch [85/100], Step[337/526], Loss: 0.5832
Epoch [85/100], Step[338/526], Loss: 0.7173
Epoch [85/100], Step[339/526], Loss: 0.6607
Epoch [85/100], Step[340/526], Loss: 0.7262
Epoch [85/100], Step[341/526], Loss: 0.7494
Epoch [85/100], Step[342/526], Loss: 0.7607
Epoch [85/100], Step[343/526], Loss: 0.5356
Epoch [85/100], Step[344/526], Loss: 0.7045
Epoch [85/100], Step[345/526], Loss: 0.6976
Epoch [85/100], Step[346/526], Loss: 0.6770
Epoch [85/100], Step[347/526], Loss: 0.7165
Epoch [85/100], Step[348/526], Loss: 0.6304
Epoch [85/100], Step[349/526], Loss: 0.5721
Epoch [85/100], Step[350/526], Loss: 0.6486
Epoch [85/100], Step[351/526], Loss: 0.6951
Epoch [85/100], Step[352/526], Loss: 0.6325
Epoch [85/100], Step[353/526], Loss: 0.6691
Epoch [85/100], Step[354/526], Loss: 0.6807
Epoch [85/100], Step[355/526], Loss: 0.6704
Epoch [85/100], Step[356/526], Loss: 0.6917
Epoch [85/100], Step[357/526], Loss: 0.6392
Epoch [85/100], Step[358/526], Loss: 0.7113
Epoch [85/100], Step[359/526], Loss: 0.6364
Epoch [85/100], Step[360/526], Loss: 0.6739
Epoch [85/100], Step[361/526], Loss: 0.7059
Epoch [85/100], Step[362/526], Loss: 0.6934
Epoch [85/100], Step[363/526], Loss: 0.6994
Epoch [85/100], Step[364/526], Loss: 0.7276
Epoch [85/100], Step[365/526], Loss: 0.7315
Epoch [85/100], Step[366/526], Loss: 0.6849
Epoch [85/100], Step[367/526], Loss: 0.6783
Epoch [85/100], Step[368/526], Loss: 0.6594
Epoch [85/100], Step[369/526], Loss: 0.6384
Epoch [85/100], Step[370/526], Loss: 0.5360
Epoch [85/100], Step[371/526], Loss: 0.7302
Epoch [85/100], Step[372/526], Loss: 0.6401
Epoch [85/100], Step[373/526], Loss: 0.6717
Epoch [85/100], Step[374/526], Loss: 0.6958
Epoch [85/100], Step[375/526], Loss: 0.6309
Epoch [85/100], Step[376/526], Loss: 0.6247
Epoch [85/100], Step[377/526], Loss: 0.6819
Epoch [85/100], Step[378/526], Loss: 0.6723
Epoch [85/100], Step[379/526], Loss: 0.7937
Epoch [85/100], Step[380/526], Loss: 0.5982
Epoch [85/100], Step[381/526], Loss: 0.5791
Epoch [85/100], Step[382/526], Loss: 0.6644
Epoch [85/100], Step[383/526], Loss: 0.6857
Epoch [85/100], Step[384/526], Loss: 0.6329
Epoch [85/100], Step[385/526], Loss: 0.6330
Epoch [85/100], Step[386/526], Loss: 0.6225
Epoch [85/100], Step[387/526], Loss: 0.6481
Epoch [85/100], Step[388/526], Loss: 0.5852
Epoch [85/100], Step[389/526], Loss: 0.7316
Epoch [85/100], Step[390/526], Loss: 0.5623
Epoch [85/100], Step[391/526], Loss: 0.6202
Epoch [85/100], Step[392/526], Loss: 0.7299
Epoch [85/100], Step[393/526], Loss: 0.5813
Epoch [85/100], Step[394/526], Loss: 0.5042
Epoch [85/100], Step[395/526], Loss: 0.5828
Epoch [85/100], Step[396/526], Loss: 0.6288
Epoch [85/100], Step[397/526], Loss: 0.4762
Epoch [85/100], Step[398/526], Loss: 0.6104
Epoch [85/100], Step[399/526], Loss: 0.6659
Epoch [85/100], Step[400/526], Loss: 0.4662
Epoch [85/100], Step[401/526], Loss: 0.6010
Epoch [85/100], Step[402/526], Loss: 0.6324
Epoch [85/100], Step[403/526], Loss: 0.7588
Epoch [85/100], Step[404/526], Loss: 0.4721
Epoch [85/100], Step[405/526], Loss: 0.4854
Epoch [85/100], Step[406/526], Loss: 0.6370
Epoch [85/100], Step[407/526], Loss: 0.7611
Epoch [85/100], Step[408/526], Loss: 0.6628
Epoch [85/100], Step[409/526], Loss: 0.4900
Epoch [85/100], Step[410/526], Loss: 0.5043
Epoch [85/100], Step[411/526], Loss: 0.5314
Epoch [85/100], Step[412/526], Loss: 0.5992
Epoch [85/100], Step[413/526], Loss: 0.6055
Epoch [85/100], Step[414/526], Loss: 0.6492
Epoch [85/100], Step[415/526], Loss: 0.6027
Epoch [85/100], Step[416/526], Loss: 0.5919
Epoch [85/100], Step[417/526], Loss: 0.4716
Epoch [85/100], Step[418/526], Loss: 0.7835
Epoch [85/100], Step[419/526], Loss: 0.6705
Epoch [85/100], Step[420/526], Loss: 0.6803
Epoch [85/100], Step[421/526], Loss: 0.6612
Epoch [85/100], Step[422/526], Loss: 0.7600
Epoch [85/100], Step[423/526], Loss: 0.7009
Epoch [85/100], Step[424/526], Loss: 0.7532
Epoch [85/100], Step[425/526], Loss: 0.7119
Epoch [85/100], Step[426/526], Loss: 0.7450
Epoch [85/100], Step[427/526], Loss: 0.7068
Epoch [85/100], Step[428/526], Loss: 0.7102
Epoch [85/100], Step[429/526], Loss: 0.7419
Epoch [85/100], Step[430/526], Loss: 0.7739
Epoch [85/100], Step[431/526], Loss: 0.7301
Epoch [85/100], Step[432/526], Loss: 0.7243
Epoch [85/100], Step[433/526], Loss: 0.6719
Epoch [85/100], Step[434/526], Loss: 0.6063
Epoch [85/100], Step[435/526], Loss: 0.7689
Epoch [85/100], Step[436/526], Loss: 0.8125
Epoch [85/100], Step[437/526], Loss: 0.4835
Epoch [85/100], Step[438/526], Loss: 0.3716
Epoch [85/100], Step[439/526], Loss: 0.7204
Epoch [85/100], Step[440/526], Loss: 0.6829
Epoch [85/100], Step[441/526], Loss: 0.7002
Epoch [85/100], Step[442/526], Loss: 0.6512
Epoch [85/100], Step[443/526], Loss: 0.6641
Epoch [85/100], Step[444/526], Loss: 0.7585
Epoch [85/100], Step[445/526], Loss: 0.7168
Epoch [85/100], Step[446/526], Loss: 0.6977
Epoch [85/100], Step[447/526], Loss: 0.7353
Epoch [85/100], Step[448/526], Loss: 0.7280
Epoch [85/100], Step[449/526], Loss: 0.6720
Epoch [85/100], Step[450/526], Loss: 0.5922
Epoch [85/100], Step[451/526], Loss: 0.6734
Epoch [85/100], Step[452/526], Loss: 0.7341
Epoch [85/100], Step[453/526], Loss: 0.7023
Epoch [85/100], Step[454/526], Loss: 0.8405
Epoch [85/100], Step[455/526], Loss: 0.6285
Epoch [85/100], Step[456/526], Loss: 0.6258
Epoch [85/100], Step[457/526], Loss: 0.7003
Epoch [85/100], Step[458/526], Loss: 0.6905
Epoch [85/100], Step[459/526], Loss: 0.6484
Epoch [85/100], Step[460/526], Loss: 0.6189
Epoch [85/100], Step[461/526], Loss: 0.5843
Epoch [85/100], Step[462/526], Loss: 0.6443
Epoch [85/100], Step[463/526], Loss: 0.6368
Epoch [85/100], Step[464/526], Loss: 0.6105
Epoch [85/100], Step[465/526], Loss: 0.6413
Epoch [85/100], Step[466/526], Loss: 0.6641
Epoch [85/100], Step[467/526], Loss: 0.6358
Epoch [85/100], Step[468/526], Loss: 0.5831
Epoch [85/100], Step[469/526], Loss: 0.8502
Epoch [85/100], Step[470/526], Loss: 0.6607
Epoch [85/100], Step[471/526], Loss: 0.6947
Epoch [85/100], Step[472/526], Loss: 0.6794
Epoch [85/100], Step[473/526], Loss: 0.6775
Epoch [85/100], Step[474/526], Loss: 0.6700
Epoch [85/100], Step[475/526], Loss: 0.8626
Epoch [85/100], Step[476/526], Loss: 0.7427
Epoch [85/100], Step[477/526], Loss: 0.6848
Epoch [85/100], Step[478/526], Loss: 0.6927
Epoch [85/100], Step[479/526], Loss: 0.6616
Epoch [85/100], Step[480/526], Loss: 0.7316
Epoch [85/100], Step[481/526], Loss: 0.7413
Epoch [85/100], Step[482/526], Loss: 0.6558
Epoch [85/100], Step[483/526], Loss: 0.5288
Epoch [85/100], Step[484/526], Loss: 0.7394
Epoch [85/100], Step[485/526], Loss: 0.7819
Epoch [85/100], Step[486/526], Loss: 0.7463
Epoch [85/100], Step[487/526], Loss: 0.7672
Epoch [85/100], Step[488/526], Loss: 0.6579
Epoch [85/100], Step[489/526], Loss: 0.6132
Epoch [85/100], Step[490/526], Loss: 0.5912
Epoch [85/100], Step[491/526], Loss: 0.6794
Epoch [85/100], Step[492/526], Loss: 0.6437
Epoch [85/100], Step[493/526], Loss: 0.6312
Epoch [85/100], Step[494/526], Loss: 0.6869
Epoch [85/100], Step[495/526], Loss: 0.6876
Epoch [85/100], Step[496/526], Loss: 0.6504
Epoch [85/100], Step[497/526], Loss: 0.6289
Epoch [85/100], Step[498/526], Loss: 0.6786
Epoch [85/100], Step[499/526], Loss: 0.6631
Epoch [85/100], Step[500/526], Loss: 0.7204
Epoch [85/100], Step[501/526], Loss: 0.6662
Epoch [85/100], Step[502/526], Loss: 0.7042
Epoch [85/100], Step[503/526], Loss: 0.7097
Epoch [85/100], Step[504/526], Loss: 0.7115
Epoch [85/100], Step[505/526], Loss: 0.7269
Epoch [85/100], Step[506/526], Loss: 0.6557
Epoch [85/100], Step[507/526], Loss: 0.6791
Epoch [85/100], Step[508/526], Loss: 0.7031
Epoch [85/100], Step[509/526], Loss: 0.6364
Epoch [85/100], Step[510/526], Loss: 0.6999
Epoch [85/100], Step[511/526], Loss: 0.6342
Epoch [85/100], Step[512/526], Loss: 0.6595
Epoch [85/100], Step[513/526], Loss: 0.6332
Epoch [85/100], Step[514/526], Loss: 0.6533
Epoch [85/100], Step[515/526], Loss: 0.5539
Epoch [85/100], Step[516/526], Loss: 0.7564
Epoch [85/100], Step[517/526], Loss: 0.6878
Epoch [85/100], Step[518/526], Loss: 0.7420
Epoch [85/100], Step[519/526], Loss: 0.7242
Epoch [85/100], Step[520/526], Loss: 0.6857
Epoch [85/100], Step[521/526], Loss: 0.6686
Epoch [85/100], Step[522/526], Loss: 0.5805
Epoch [85/100], Step[523/526], Loss: 0.6444
Epoch [85/100], Step[524/526], Loss: 0.6188
Epoch [85/100], Step[525/526], Loss: 0.7629
Epoch [85/100], Step[526/526], Loss: 0.7155
Epoch [86/100], Step[1/526], Loss: 0.6559
Epoch [86/100], Step[2/526], Loss: 0.6442
Epoch [86/100], Step[3/526], Loss: 0.6639
Epoch [86/100], Step[4/526], Loss: 0.6308
Epoch [86/100], Step[5/526], Loss: 0.7393
Epoch [86/100], Step[6/526], Loss: 0.7498
Epoch [86/100], Step[7/526], Loss: 0.6911
Epoch [86/100], Step[8/526], Loss: 0.6744
Epoch [86/100], Step[9/526], Loss: 0.6998
Epoch [86/100], Step[10/526], Loss: 0.6609
Epoch [86/100], Step[11/526], Loss: 0.6812
Epoch [86/100], Step[12/526], Loss: 0.7353
Epoch [86/100], Step[13/526], Loss: 0.6108
Epoch [86/100], Step[14/526], Loss: 0.6727
Epoch [86/100], Step[15/526], Loss: 0.6725
Epoch [86/100], Step[16/526], Loss: 0.7119
Epoch [86/100], Step[17/526], Loss: 0.7196
Epoch [86/100], Step[18/526], Loss: 0.6652
Epoch [86/100], Step[19/526], Loss: 0.7175
Epoch [86/100], Step[20/526], Loss: 0.7440
Epoch [86/100], Step[21/526], Loss: 0.7687
Epoch [86/100], Step[22/526], Loss: 0.7485
Epoch [86/100], Step[23/526], Loss: 0.7378
Epoch [86/100], Step[24/526], Loss: 0.7263
Epoch [86/100], Step[25/526], Loss: 0.6950
Epoch [86/100], Step[26/526], Loss: 0.6245
Epoch [86/100], Step[27/526], Loss: 0.6818
Epoch [86/100], Step[28/526], Loss: 0.6894
Epoch [86/100], Step[29/526], Loss: 0.6406
Epoch [86/100], Step[30/526], Loss: 0.6963
Epoch [86/100], Step[31/526], Loss: 0.7077
Epoch [86/100], Step[32/526], Loss: 0.6710
Epoch [86/100], Step[33/526], Loss: 0.7087
Epoch [86/100], Step[34/526], Loss: 0.7036
Epoch [86/100], Step[35/526], Loss: 0.7329
Epoch [86/100], Step[36/526], Loss: 0.7005
Epoch [86/100], Step[37/526], Loss: 0.6913
Epoch [86/100], Step[38/526], Loss: 0.7212
Epoch [86/100], Step[39/526], Loss: 0.6829
Epoch [86/100], Step[40/526], Loss: 0.7055
Epoch [86/100], Step[41/526], Loss: 0.6609
Epoch [86/100], Step[42/526], Loss: 0.7268
Epoch [86/100], Step[43/526], Loss: 0.7129
Epoch [86/100], Step[44/526], Loss: 0.6958
Epoch [86/100], Step[45/526], Loss: 0.6968
Epoch [86/100], Step[46/526], Loss: 0.6782
Epoch [86/100], Step[47/526], Loss: 0.6922
Epoch [86/100], Step[48/526], Loss: 0.7211
Epoch [86/100], Step[49/526], Loss: 0.7043
Epoch [86/100], Step[50/526], Loss: 0.6993
Epoch [86/100], Step[51/526], Loss: 0.7014
Epoch [86/100], Step[52/526], Loss: 0.6792
Epoch [86/100], Step[53/526], Loss: 0.7151
Epoch [86/100], Step[54/526], Loss: 0.6981
Epoch [86/100], Step[55/526], Loss: 0.7067
Epoch [86/100], Step[56/526], Loss: 0.6748
Epoch [86/100], Step[57/526], Loss: 0.6868
Epoch [86/100], Step[58/526], Loss: 0.6679
Epoch [86/100], Step[59/526], Loss: 0.6610
Epoch [86/100], Step[60/526], Loss: 0.6579
Epoch [86/100], Step[61/526], Loss: 0.6595
Epoch [86/100], Step[62/526], Loss: 0.7073
Epoch [86/100], Step[63/526], Loss: 0.6815
Epoch [86/100], Step[64/526], Loss: 0.6748
Epoch [86/100], Step[65/526], Loss: 0.7216
Epoch [86/100], Step[66/526], Loss: 0.6809
Epoch [86/100], Step[67/526], Loss: 0.6356
Epoch [86/100], Step[68/526], Loss: 0.6568
Epoch [86/100], Step[69/526], Loss: 0.6860
Epoch [86/100], Step[70/526], Loss: 0.6736
Epoch [86/100], Step[71/526], Loss: 0.6605
Epoch [86/100], Step[72/526], Loss: 0.6859
Epoch [86/100], Step[73/526], Loss: 0.7160
Epoch [86/100], Step[74/526], Loss: 0.6596
Epoch [86/100], Step[75/526], Loss: 0.7074
Epoch [86/100], Step[76/526], Loss: 0.6973
Epoch [86/100], Step[77/526], Loss: 0.7037
Epoch [86/100], Step[78/526], Loss: 0.7016
Epoch [86/100], Step[79/526], Loss: 0.6975
Epoch [86/100], Step[80/526], Loss: 0.7040
Epoch [86/100], Step[81/526], Loss: 0.7032
Epoch [86/100], Step[82/526], Loss: 0.7270
Epoch [86/100], Step[83/526], Loss: 0.7028
Epoch [86/100], Step[84/526], Loss: 0.6876
Epoch [86/100], Step[85/526], Loss: 0.6651
Epoch [86/100], Step[86/526], Loss: 0.6766
Epoch [86/100], Step[87/526], Loss: 0.6868
Epoch [86/100], Step[88/526], Loss: 0.6920
Epoch [86/100], Step[89/526], Loss: 0.7300
Epoch [86/100], Step[90/526], Loss: 0.6677
Epoch [86/100], Step[91/526], Loss: 0.6911
Epoch [86/100], Step[92/526], Loss: 0.6714
Epoch [86/100], Step[93/526], Loss: 0.6970
Epoch [86/100], Step[94/526], Loss: 0.8072
Epoch [86/100], Step[95/526], Loss: 0.7215
Epoch [86/100], Step[96/526], Loss: 0.6184
Epoch [86/100], Step[97/526], Loss: 0.5752
Epoch [86/100], Step[98/526], Loss: 0.6817
Epoch [86/100], Step[99/526], Loss: 0.6843
Epoch [86/100], Step[100/526], Loss: 0.6448
Epoch [86/100], Step[101/526], Loss: 0.6633
Epoch [86/100], Step[102/526], Loss: 0.6217
Epoch [86/100], Step[103/526], Loss: 0.7287
Epoch [86/100], Step[104/526], Loss: 0.6514
Epoch [86/100], Step[105/526], Loss: 0.6077
Epoch [86/100], Step[106/526], Loss: 0.6848
Epoch [86/100], Step[107/526], Loss: 0.6088
Epoch [86/100], Step[108/526], Loss: 0.5889
Epoch [86/100], Step[109/526], Loss: 0.6551
Epoch [86/100], Step[110/526], Loss: 0.6826
Epoch [86/100], Step[111/526], Loss: 0.6036
Epoch [86/100], Step[112/526], Loss: 0.7277
Epoch [86/100], Step[113/526], Loss: 0.6051
Epoch [86/100], Step[114/526], Loss: 0.6424
Epoch [86/100], Step[115/526], Loss: 0.5919
Epoch [86/100], Step[116/526], Loss: 0.6357
Epoch [86/100], Step[117/526], Loss: 0.6970
Epoch [86/100], Step[118/526], Loss: 0.7666
Epoch [86/100], Step[119/526], Loss: 0.6784
Epoch [86/100], Step[120/526], Loss: 0.6718
Epoch [86/100], Step[121/526], Loss: 0.6997
Epoch [86/100], Step[122/526], Loss: 0.6068
Epoch [86/100], Step[123/526], Loss: 0.6562
Epoch [86/100], Step[124/526], Loss: 0.6696
Epoch [86/100], Step[125/526], Loss: 0.6355
Epoch [86/100], Step[126/526], Loss: 0.7140
Epoch [86/100], Step[127/526], Loss: 0.6645
Epoch [86/100], Step[128/526], Loss: 0.6231
Epoch [86/100], Step[129/526], Loss: 0.6067
Epoch [86/100], Step[130/526], Loss: 0.6426
Epoch [86/100], Step[131/526], Loss: 0.6784
Epoch [86/100], Step[132/526], Loss: 0.7117
Epoch [86/100], Step[133/526], Loss: 0.6684
Epoch [86/100], Step[134/526], Loss: 0.6300
Epoch [86/100], Step[135/526], Loss: 0.6432
Epoch [86/100], Step[136/526], Loss: 0.5606
Epoch [86/100], Step[137/526], Loss: 0.6484
Epoch [86/100], Step[138/526], Loss: 0.6534
Epoch [86/100], Step[139/526], Loss: 0.6927
Epoch [86/100], Step[140/526], Loss: 0.5860
Epoch [86/100], Step[141/526], Loss: 0.6585
Epoch [86/100], Step[142/526], Loss: 0.6781
Epoch [86/100], Step[143/526], Loss: 0.6913
Epoch [86/100], Step[144/526], Loss: 0.7731
Epoch [86/100], Step[145/526], Loss: 0.5453
Epoch [86/100], Step[146/526], Loss: 0.4840
Epoch [86/100], Step[147/526], Loss: 0.4869
Epoch [86/100], Step[148/526], Loss: 0.5903
Epoch [86/100], Step[149/526], Loss: 0.4853
Epoch [86/100], Step[150/526], Loss: 0.5572
Epoch [86/100], Step[151/526], Loss: 0.5471
Epoch [86/100], Step[152/526], Loss: 0.6363
Epoch [86/100], Step[153/526], Loss: 0.6489
Epoch [86/100], Step[154/526], Loss: 0.6985
Epoch [86/100], Step[155/526], Loss: 0.7095
Epoch [86/100], Step[156/526], Loss: 0.5430
Epoch [86/100], Step[157/526], Loss: 0.2815
Epoch [86/100], Step[158/526], Loss: 0.5980
Epoch [86/100], Step[159/526], Loss: 0.6573
Epoch [86/100], Step[160/526], Loss: 0.5617
Epoch [86/100], Step[161/526], Loss: 0.8012
Epoch [86/100], Step[162/526], Loss: 0.7138
Epoch [86/100], Step[163/526], Loss: 0.7266
Epoch [86/100], Step[164/526], Loss: 0.6180
Epoch [86/100], Step[165/526], Loss: 0.7320
Epoch [86/100], Step[166/526], Loss: 0.5283
Epoch [86/100], Step[167/526], Loss: 0.5682
Epoch [86/100], Step[168/526], Loss: 0.6906
Epoch [86/100], Step[169/526], Loss: 0.7415
Epoch [86/100], Step[170/526], Loss: 0.7058
Epoch [86/100], Step[171/526], Loss: 0.7368
Epoch [86/100], Step[172/526], Loss: 0.7119
Epoch [86/100], Step[173/526], Loss: 0.8159
Epoch [86/100], Step[174/526], Loss: 0.6320
Epoch [86/100], Step[175/526], Loss: 0.6759
Epoch [86/100], Step[176/526], Loss: 0.6177
Epoch [86/100], Step[177/526], Loss: 0.6688
Epoch [86/100], Step[178/526], Loss: 0.6896
Epoch [86/100], Step[179/526], Loss: 0.6210
Epoch [86/100], Step[180/526], Loss: 0.6771
Epoch [86/100], Step[181/526], Loss: 0.6535
Epoch [86/100], Step[182/526], Loss: 0.6658
Epoch [86/100], Step[183/526], Loss: 0.5490
Epoch [86/100], Step[184/526], Loss: 0.6133
Epoch [86/100], Step[185/526], Loss: 0.6109
Epoch [86/100], Step[186/526], Loss: 0.6394
Epoch [86/100], Step[187/526], Loss: 0.7586
Epoch [86/100], Step[188/526], Loss: 0.7025
Epoch [86/100], Step[189/526], Loss: 0.6604
Epoch [86/100], Step[190/526], Loss: 0.6767
Epoch [86/100], Step[191/526], Loss: 0.6913
Epoch [86/100], Step[192/526], Loss: 0.7874
Epoch [86/100], Step[193/526], Loss: 0.6431
Epoch [86/100], Step[194/526], Loss: 0.5914
Epoch [86/100], Step[195/526], Loss: 0.6512
Epoch [86/100], Step[196/526], Loss: 0.7315
Epoch [86/100], Step[197/526], Loss: 0.6528
Epoch [86/100], Step[198/526], Loss: 0.6071
Epoch [86/100], Step[199/526], Loss: 0.7433
Epoch [86/100], Step[200/526], Loss: 0.6781
Epoch [86/100], Step[201/526], Loss: 0.6769
Epoch [86/100], Step[202/526], Loss: 0.7634
Epoch [86/100], Step[203/526], Loss: 0.6919
Epoch [86/100], Step[204/526], Loss: 0.7231
Epoch [86/100], Step[205/526], Loss: 0.6864
Epoch [86/100], Step[206/526], Loss: 0.6797
Epoch [86/100], Step[207/526], Loss: 0.7014
Epoch [86/100], Step[208/526], Loss: 0.6821
Epoch [86/100], Step[209/526], Loss: 0.6827
Epoch [86/100], Step[210/526], Loss: 0.7510
Epoch [86/100], Step[211/526], Loss: 0.6259
Epoch [86/100], Step[212/526], Loss: 0.6844
Epoch [86/100], Step[213/526], Loss: 0.7119
Epoch [86/100], Step[214/526], Loss: 0.6982
Epoch [86/100], Step[215/526], Loss: 0.6938
Epoch [86/100], Step[216/526], Loss: 0.6780
Epoch [86/100], Step[217/526], Loss: 0.6430
Epoch [86/100], Step[218/526], Loss: 0.6874
Epoch [86/100], Step[219/526], Loss: 0.6815
Epoch [86/100], Step[220/526], Loss: 0.7053
Epoch [86/100], Step[221/526], Loss: 0.6843
Epoch [86/100], Step[222/526], Loss: 0.7084
Epoch [86/100], Step[223/526], Loss: 0.6081
Epoch [86/100], Step[224/526], Loss: 0.6585
Epoch [86/100], Step[225/526], Loss: 0.6570
Epoch [86/100], Step[226/526], Loss: 0.6554
Epoch [86/100], Step[227/526], Loss: 0.6537
Epoch [86/100], Step[228/526], Loss: 0.6840
Epoch [86/100], Step[229/526], Loss: 0.7119
Epoch [86/100], Step[230/526], Loss: 0.6212
Epoch [86/100], Step[231/526], Loss: 0.6258
Epoch [86/100], Step[232/526], Loss: 0.6327
Epoch [86/100], Step[233/526], Loss: 0.6778
Epoch [86/100], Step[234/526], Loss: 0.6251
Epoch [86/100], Step[235/526], Loss: 0.6589
Epoch [86/100], Step[236/526], Loss: 0.6839
Epoch [86/100], Step[237/526], Loss: 0.7352
Epoch [86/100], Step[238/526], Loss: 0.5864
Epoch [86/100], Step[239/526], Loss: 0.6553
Epoch [86/100], Step[240/526], Loss: 0.6463
Epoch [86/100], Step[241/526], Loss: 0.6135
Epoch [86/100], Step[242/526], Loss: 0.6055
Epoch [86/100], Step[243/526], Loss: 0.5860
Epoch [86/100], Step[244/526], Loss: 0.5589
Epoch [86/100], Step[245/526], Loss: 0.5906
Epoch [86/100], Step[246/526], Loss: 0.6482
Epoch [86/100], Step[247/526], Loss: 0.5076
Epoch [86/100], Step[248/526], Loss: 0.5463
Epoch [86/100], Step[249/526], Loss: 0.7572
Epoch [86/100], Step[250/526], Loss: 0.7446
Epoch [86/100], Step[251/526], Loss: 0.6594
Epoch [86/100], Step[252/526], Loss: 0.6871
Epoch [86/100], Step[253/526], Loss: 0.6190
Epoch [86/100], Step[254/526], Loss: 0.6742
Epoch [86/100], Step[255/526], Loss: 0.5896
Epoch [86/100], Step[256/526], Loss: 0.6555
Epoch [86/100], Step[257/526], Loss: 0.6207
Epoch [86/100], Step[258/526], Loss: 0.6245
Epoch [86/100], Step[259/526], Loss: 0.7133
Epoch [86/100], Step[260/526], Loss: 0.7136
Epoch [86/100], Step[261/526], Loss: 0.7528
Epoch [86/100], Step[262/526], Loss: 0.5731
Epoch [86/100], Step[263/526], Loss: 0.6406
Epoch [86/100], Step[264/526], Loss: 0.6091
Epoch [86/100], Step[265/526], Loss: 0.3810
Epoch [86/100], Step[266/526], Loss: 0.3784
Epoch [86/100], Step[267/526], Loss: 0.4549
Epoch [86/100], Step[268/526], Loss: 0.5815
Epoch [86/100], Step[269/526], Loss: 0.4604
Epoch [86/100], Step[270/526], Loss: 0.4202
Epoch [86/100], Step[271/526], Loss: 0.5598
Epoch [86/100], Step[272/526], Loss: 0.5530
Epoch [86/100], Step[273/526], Loss: 0.6538
Epoch [86/100], Step[274/526], Loss: 0.4527
Epoch [86/100], Step[275/526], Loss: 0.3996
Epoch [86/100], Step[276/526], Loss: 0.4964
Epoch [86/100], Step[277/526], Loss: 0.3637
Epoch [86/100], Step[278/526], Loss: 0.4770
Epoch [86/100], Step[279/526], Loss: 0.4499
Epoch [86/100], Step[280/526], Loss: 0.4931
Epoch [86/100], Step[281/526], Loss: 0.6942
Epoch [86/100], Step[282/526], Loss: 0.4271
Epoch [86/100], Step[283/526], Loss: 0.3834
Epoch [86/100], Step[284/526], Loss: 0.4486
Epoch [86/100], Step[285/526], Loss: 0.3025
Epoch [86/100], Step[286/526], Loss: 0.7197
Epoch [86/100], Step[287/526], Loss: 0.5150
Epoch [86/100], Step[288/526], Loss: 0.3987
Epoch [86/100], Step[289/526], Loss: 0.6064
Epoch [86/100], Step[290/526], Loss: 0.4508
Epoch [86/100], Step[291/526], Loss: 0.4582
Epoch [86/100], Step[292/526], Loss: 0.2900
Epoch [86/100], Step[293/526], Loss: 0.3115
Epoch [86/100], Step[294/526], Loss: 0.3457
Epoch [86/100], Step[295/526], Loss: 0.4381
Epoch [86/100], Step[296/526], Loss: 0.6007
Epoch [86/100], Step[297/526], Loss: 0.3513
Epoch [86/100], Step[298/526], Loss: 0.2947
Epoch [86/100], Step[299/526], Loss: 0.2544
Epoch [86/100], Step[300/526], Loss: 0.2729
Epoch [86/100], Step[301/526], Loss: 0.6310
Epoch [86/100], Step[302/526], Loss: 0.3779
Epoch [86/100], Step[303/526], Loss: 0.4359
Epoch [86/100], Step[304/526], Loss: 0.2701
Epoch [86/100], Step[305/526], Loss: 0.2723
Epoch [86/100], Step[306/526], Loss: 0.5697
Epoch [86/100], Step[307/526], Loss: 0.9095
Epoch [86/100], Step[308/526], Loss: 1.3269
Epoch [86/100], Step[309/526], Loss: 0.9579
Epoch [86/100], Step[310/526], Loss: 0.9181
Epoch [86/100], Step[311/526], Loss: 0.8143
Epoch [86/100], Step[312/526], Loss: 0.4838
Epoch [86/100], Step[313/526], Loss: 0.4452
Epoch [86/100], Step[314/526], Loss: 0.6126
Epoch [86/100], Step[315/526], Loss: 0.7604
Epoch [86/100], Step[316/526], Loss: 0.4983
Epoch [86/100], Step[317/526], Loss: 0.3329
Epoch [86/100], Step[318/526], Loss: 0.7817
Epoch [86/100], Step[319/526], Loss: 0.3643
Epoch [86/100], Step[320/526], Loss: 0.6504
Epoch [86/100], Step[321/526], Loss: 0.7417
Epoch [86/100], Step[322/526], Loss: 0.2822
Epoch [86/100], Step[323/526], Loss: 0.6106
Epoch [86/100], Step[324/526], Loss: 0.6673
Epoch [86/100], Step[325/526], Loss: 0.5850
Epoch [86/100], Step[326/526], Loss: 0.7552
Epoch [86/100], Step[327/526], Loss: 0.7372
Epoch [86/100], Step[328/526], Loss: 0.9324
Epoch [86/100], Step[329/526], Loss: 1.2846
Epoch [86/100], Step[330/526], Loss: 1.0320
Epoch [86/100], Step[331/526], Loss: 0.7827
Epoch [86/100], Step[332/526], Loss: 0.8545
Epoch [86/100], Step[333/526], Loss: 0.7339
Epoch [86/100], Step[334/526], Loss: 0.7559
Epoch [86/100], Step[335/526], Loss: 0.7554
Epoch [86/100], Step[336/526], Loss: 0.6498
Epoch [86/100], Step[337/526], Loss: 0.5826
Epoch [86/100], Step[338/526], Loss: 0.7143
Epoch [86/100], Step[339/526], Loss: 0.6590
Epoch [86/100], Step[340/526], Loss: 0.7261
Epoch [86/100], Step[341/526], Loss: 0.7545
Epoch [86/100], Step[342/526], Loss: 0.7639
Epoch [86/100], Step[343/526], Loss: 0.5359
Epoch [86/100], Step[344/526], Loss: 0.7076
Epoch [86/100], Step[345/526], Loss: 0.6846
Epoch [86/100], Step[346/526], Loss: 0.6788
Epoch [86/100], Step[347/526], Loss: 0.7157
Epoch [86/100], Step[348/526], Loss: 0.6360
Epoch [86/100], Step[349/526], Loss: 0.5665
Epoch [86/100], Step[350/526], Loss: 0.6415
Epoch [86/100], Step[351/526], Loss: 0.6963
Epoch [86/100], Step[352/526], Loss: 0.6306
Epoch [86/100], Step[353/526], Loss: 0.6700
Epoch [86/100], Step[354/526], Loss: 0.6807
Epoch [86/100], Step[355/526], Loss: 0.6728
Epoch [86/100], Step[356/526], Loss: 0.6925
Epoch [86/100], Step[357/526], Loss: 0.6383
Epoch [86/100], Step[358/526], Loss: 0.7117
Epoch [86/100], Step[359/526], Loss: 0.6354
Epoch [86/100], Step[360/526], Loss: 0.6772
Epoch [86/100], Step[361/526], Loss: 0.7080
Epoch [86/100], Step[362/526], Loss: 0.6939
Epoch [86/100], Step[363/526], Loss: 0.7010
Epoch [86/100], Step[364/526], Loss: 0.7275
Epoch [86/100], Step[365/526], Loss: 0.7340
Epoch [86/100], Step[366/526], Loss: 0.6830
Epoch [86/100], Step[367/526], Loss: 0.6771
Epoch [86/100], Step[368/526], Loss: 0.6590
Epoch [86/100], Step[369/526], Loss: 0.6366
Epoch [86/100], Step[370/526], Loss: 0.5570
Epoch [86/100], Step[371/526], Loss: 0.7291
Epoch [86/100], Step[372/526], Loss: 0.6424
Epoch [86/100], Step[373/526], Loss: 0.6722
Epoch [86/100], Step[374/526], Loss: 0.6946
Epoch [86/100], Step[375/526], Loss: 0.6301
Epoch [86/100], Step[376/526], Loss: 0.6183
Epoch [86/100], Step[377/526], Loss: 0.6800
Epoch [86/100], Step[378/526], Loss: 0.6723
Epoch [86/100], Step[379/526], Loss: 0.7889
Epoch [86/100], Step[380/526], Loss: 0.5980
Epoch [86/100], Step[381/526], Loss: 0.5811
Epoch [86/100], Step[382/526], Loss: 0.6636
Epoch [86/100], Step[383/526], Loss: 0.6865
Epoch [86/100], Step[384/526], Loss: 0.6344
Epoch [86/100], Step[385/526], Loss: 0.6292
Epoch [86/100], Step[386/526], Loss: 0.6214
Epoch [86/100], Step[387/526], Loss: 0.6428
Epoch [86/100], Step[388/526], Loss: 0.5767
Epoch [86/100], Step[389/526], Loss: 0.7360
Epoch [86/100], Step[390/526], Loss: 0.5613
Epoch [86/100], Step[391/526], Loss: 0.6212
Epoch [86/100], Step[392/526], Loss: 0.7293
Epoch [86/100], Step[393/526], Loss: 0.5808
Epoch [86/100], Step[394/526], Loss: 0.5032
Epoch [86/100], Step[395/526], Loss: 0.5913
Epoch [86/100], Step[396/526], Loss: 0.6268
Epoch [86/100], Step[397/526], Loss: 0.4743
Epoch [86/100], Step[398/526], Loss: 0.6090
Epoch [86/100], Step[399/526], Loss: 0.6659
Epoch [86/100], Step[400/526], Loss: 0.4644
Epoch [86/100], Step[401/526], Loss: 0.6032
Epoch [86/100], Step[402/526], Loss: 0.6307
Epoch [86/100], Step[403/526], Loss: 0.7621
Epoch [86/100], Step[404/526], Loss: 0.4715
Epoch [86/100], Step[405/526], Loss: 0.4844
Epoch [86/100], Step[406/526], Loss: 0.6412
Epoch [86/100], Step[407/526], Loss: 0.7615
Epoch [86/100], Step[408/526], Loss: 0.6643
Epoch [86/100], Step[409/526], Loss: 0.4793
Epoch [86/100], Step[410/526], Loss: 0.5024
Epoch [86/100], Step[411/526], Loss: 0.5304
Epoch [86/100], Step[412/526], Loss: 0.5973
Epoch [86/100], Step[413/526], Loss: 0.6044
Epoch [86/100], Step[414/526], Loss: 0.6471
Epoch [86/100], Step[415/526], Loss: 0.6027
Epoch [86/100], Step[416/526], Loss: 0.5917
Epoch [86/100], Step[417/526], Loss: 0.4727
Epoch [86/100], Step[418/526], Loss: 0.7854
Epoch [86/100], Step[419/526], Loss: 0.6702
Epoch [86/100], Step[420/526], Loss: 0.6791
Epoch [86/100], Step[421/526], Loss: 0.6597
Epoch [86/100], Step[422/526], Loss: 0.7615
Epoch [86/100], Step[423/526], Loss: 0.7012
Epoch [86/100], Step[424/526], Loss: 0.7549
Epoch [86/100], Step[425/526], Loss: 0.7149
Epoch [86/100], Step[426/526], Loss: 0.7424
Epoch [86/100], Step[427/526], Loss: 0.7081
Epoch [86/100], Step[428/526], Loss: 0.7112
Epoch [86/100], Step[429/526], Loss: 0.7469
Epoch [86/100], Step[430/526], Loss: 0.7830
Epoch [86/100], Step[431/526], Loss: 0.7067
Epoch [86/100], Step[432/526], Loss: 0.7159
Epoch [86/100], Step[433/526], Loss: 0.6672
Epoch [86/100], Step[434/526], Loss: 0.6109
Epoch [86/100], Step[435/526], Loss: 0.7710
Epoch [86/100], Step[436/526], Loss: 0.8129
Epoch [86/100], Step[437/526], Loss: 0.4877
Epoch [86/100], Step[438/526], Loss: 0.3755
Epoch [86/100], Step[439/526], Loss: 0.7181
Epoch [86/100], Step[440/526], Loss: 0.6833
Epoch [86/100], Step[441/526], Loss: 0.7046
Epoch [86/100], Step[442/526], Loss: 0.6553
Epoch [86/100], Step[443/526], Loss: 0.6670
Epoch [86/100], Step[444/526], Loss: 0.7566
Epoch [86/100], Step[445/526], Loss: 0.7173
Epoch [86/100], Step[446/526], Loss: 0.6956
Epoch [86/100], Step[447/526], Loss: 0.7308
Epoch [86/100], Step[448/526], Loss: 0.7244
Epoch [86/100], Step[449/526], Loss: 0.6682
Epoch [86/100], Step[450/526], Loss: 0.5967
Epoch [86/100], Step[451/526], Loss: 0.6805
Epoch [86/100], Step[452/526], Loss: 0.7332
Epoch [86/100], Step[453/526], Loss: 0.7006
Epoch [86/100], Step[454/526], Loss: 0.8383
Epoch [86/100], Step[455/526], Loss: 0.6289
Epoch [86/100], Step[456/526], Loss: 0.6244
Epoch [86/100], Step[457/526], Loss: 0.6977
Epoch [86/100], Step[458/526], Loss: 0.6836
Epoch [86/100], Step[459/526], Loss: 0.6429
Epoch [86/100], Step[460/526], Loss: 0.6117
Epoch [86/100], Step[461/526], Loss: 0.5851
Epoch [86/100], Step[462/526], Loss: 0.6478
Epoch [86/100], Step[463/526], Loss: 0.6366
Epoch [86/100], Step[464/526], Loss: 0.6113
Epoch [86/100], Step[465/526], Loss: 0.6415
Epoch [86/100], Step[466/526], Loss: 0.6587
Epoch [86/100], Step[467/526], Loss: 0.6413
Epoch [86/100], Step[468/526], Loss: 0.5836
Epoch [86/100], Step[469/526], Loss: 0.8527
Epoch [86/100], Step[470/526], Loss: 0.6589
Epoch [86/100], Step[471/526], Loss: 0.7011
Epoch [86/100], Step[472/526], Loss: 0.6770
Epoch [86/100], Step[473/526], Loss: 0.6786
Epoch [86/100], Step[474/526], Loss: 0.6695
Epoch [86/100], Step[475/526], Loss: 0.8616
Epoch [86/100], Step[476/526], Loss: 0.7432
Epoch [86/100], Step[477/526], Loss: 0.6843
Epoch [86/100], Step[478/526], Loss: 0.6934
Epoch [86/100], Step[479/526], Loss: 0.6621
Epoch [86/100], Step[480/526], Loss: 0.7302
Epoch [86/100], Step[481/526], Loss: 0.7396
Epoch [86/100], Step[482/526], Loss: 0.6536
Epoch [86/100], Step[483/526], Loss: 0.5332
Epoch [86/100], Step[484/526], Loss: 0.7333
Epoch [86/100], Step[485/526], Loss: 0.7824
Epoch [86/100], Step[486/526], Loss: 0.7462
Epoch [86/100], Step[487/526], Loss: 0.7686
Epoch [86/100], Step[488/526], Loss: 0.6625
Epoch [86/100], Step[489/526], Loss: 0.6168
Epoch [86/100], Step[490/526], Loss: 0.5908
Epoch [86/100], Step[491/526], Loss: 0.6805
Epoch [86/100], Step[492/526], Loss: 0.6431
Epoch [86/100], Step[493/526], Loss: 0.6309
Epoch [86/100], Step[494/526], Loss: 0.6857
Epoch [86/100], Step[495/526], Loss: 0.6940
Epoch [86/100], Step[496/526], Loss: 0.6507
Epoch [86/100], Step[497/526], Loss: 0.6303
Epoch [86/100], Step[498/526], Loss: 0.6780
Epoch [86/100], Step[499/526], Loss: 0.6614
Epoch [86/100], Step[500/526], Loss: 0.6938
Epoch [86/100], Step[501/526], Loss: 0.6697
Epoch [86/100], Step[502/526], Loss: 0.6995
Epoch [86/100], Step[503/526], Loss: 0.7098
Epoch [86/100], Step[504/526], Loss: 0.7071
Epoch [86/100], Step[505/526], Loss: 0.7275
Epoch [86/100], Step[506/526], Loss: 0.6615
Epoch [86/100], Step[507/526], Loss: 0.6790
Epoch [86/100], Step[508/526], Loss: 0.7043
Epoch [86/100], Step[509/526], Loss: 0.6379
Epoch [86/100], Step[510/526], Loss: 0.6998
Epoch [86/100], Step[511/526], Loss: 0.6329
Epoch [86/100], Step[512/526], Loss: 0.6600
Epoch [86/100], Step[513/526], Loss: 0.6318
Epoch [86/100], Step[514/526], Loss: 0.6535
Epoch [86/100], Step[515/526], Loss: 0.5533
Epoch [86/100], Step[516/526], Loss: 0.7571
Epoch [86/100], Step[517/526], Loss: 0.6864
Epoch [86/100], Step[518/526], Loss: 0.7420
Epoch [86/100], Step[519/526], Loss: 0.7229
Epoch [86/100], Step[520/526], Loss: 0.6848
Epoch [86/100], Step[521/526], Loss: 0.6533
Epoch [86/100], Step[522/526], Loss: 0.6088
Epoch [86/100], Step[523/526], Loss: 0.6515
Epoch [86/100], Step[524/526], Loss: 0.6253
Epoch [86/100], Step[525/526], Loss: 0.7663
Epoch [86/100], Step[526/526], Loss: 0.7253
Epoch [87/100], Step[1/526], Loss: 0.6561
Epoch [87/100], Step[2/526], Loss: 0.6492
Epoch [87/100], Step[3/526], Loss: 0.6669
Epoch [87/100], Step[4/526], Loss: 0.6336
Epoch [87/100], Step[5/526], Loss: 0.7396
Epoch [87/100], Step[6/526], Loss: 0.7454
Epoch [87/100], Step[7/526], Loss: 0.6860
Epoch [87/100], Step[8/526], Loss: 0.6703
Epoch [87/100], Step[9/526], Loss: 0.6909
Epoch [87/100], Step[10/526], Loss: 0.6483
Epoch [87/100], Step[11/526], Loss: 0.7053
Epoch [87/100], Step[12/526], Loss: 0.7469
Epoch [87/100], Step[13/526], Loss: 0.6095
Epoch [87/100], Step[14/526], Loss: 0.6687
Epoch [87/100], Step[15/526], Loss: 0.6749
Epoch [87/100], Step[16/526], Loss: 0.7075
Epoch [87/100], Step[17/526], Loss: 0.7172
Epoch [87/100], Step[18/526], Loss: 0.6563
Epoch [87/100], Step[19/526], Loss: 0.7097
Epoch [87/100], Step[20/526], Loss: 0.7474
Epoch [87/100], Step[21/526], Loss: 0.7682
Epoch [87/100], Step[22/526], Loss: 0.7520
Epoch [87/100], Step[23/526], Loss: 0.7356
Epoch [87/100], Step[24/526], Loss: 0.7266
Epoch [87/100], Step[25/526], Loss: 0.6979
Epoch [87/100], Step[26/526], Loss: 0.6238
Epoch [87/100], Step[27/526], Loss: 0.6786
Epoch [87/100], Step[28/526], Loss: 0.6912
Epoch [87/100], Step[29/526], Loss: 0.6426
Epoch [87/100], Step[30/526], Loss: 0.6957
Epoch [87/100], Step[31/526], Loss: 0.7079
Epoch [87/100], Step[32/526], Loss: 0.6740
Epoch [87/100], Step[33/526], Loss: 0.7091
Epoch [87/100], Step[34/526], Loss: 0.7039
Epoch [87/100], Step[35/526], Loss: 0.7332
Epoch [87/100], Step[36/526], Loss: 0.7044
Epoch [87/100], Step[37/526], Loss: 0.6893
Epoch [87/100], Step[38/526], Loss: 0.7225
Epoch [87/100], Step[39/526], Loss: 0.6812
Epoch [87/100], Step[40/526], Loss: 0.7058
Epoch [87/100], Step[41/526], Loss: 0.6634
Epoch [87/100], Step[42/526], Loss: 0.7274
Epoch [87/100], Step[43/526], Loss: 0.7114
Epoch [87/100], Step[44/526], Loss: 0.6964
Epoch [87/100], Step[45/526], Loss: 0.6993
Epoch [87/100], Step[46/526], Loss: 0.6767
Epoch [87/100], Step[47/526], Loss: 0.6905
Epoch [87/100], Step[48/526], Loss: 0.7201
Epoch [87/100], Step[49/526], Loss: 0.7042
Epoch [87/100], Step[50/526], Loss: 0.7009
Epoch [87/100], Step[51/526], Loss: 0.7015
Epoch [87/100], Step[52/526], Loss: 0.6786
Epoch [87/100], Step[53/526], Loss: 0.7193
Epoch [87/100], Step[54/526], Loss: 0.6956
Epoch [87/100], Step[55/526], Loss: 0.6992
Epoch [87/100], Step[56/526], Loss: 0.6747
Epoch [87/100], Step[57/526], Loss: 0.6878
Epoch [87/100], Step[58/526], Loss: 0.6677
Epoch [87/100], Step[59/526], Loss: 0.6584
Epoch [87/100], Step[60/526], Loss: 0.6579
Epoch [87/100], Step[61/526], Loss: 0.6593
Epoch [87/100], Step[62/526], Loss: 0.7072
Epoch [87/100], Step[63/526], Loss: 0.6824
Epoch [87/100], Step[64/526], Loss: 0.6746
Epoch [87/100], Step[65/526], Loss: 0.7207
Epoch [87/100], Step[66/526], Loss: 0.6814
Epoch [87/100], Step[67/526], Loss: 0.6366
Epoch [87/100], Step[68/526], Loss: 0.6562
Epoch [87/100], Step[69/526], Loss: 0.6850
Epoch [87/100], Step[70/526], Loss: 0.6734
Epoch [87/100], Step[71/526], Loss: 0.6606
Epoch [87/100], Step[72/526], Loss: 0.6879
Epoch [87/100], Step[73/526], Loss: 0.7164
Epoch [87/100], Step[74/526], Loss: 0.6604
Epoch [87/100], Step[75/526], Loss: 0.7060
Epoch [87/100], Step[76/526], Loss: 0.6983
Epoch [87/100], Step[77/526], Loss: 0.7051
Epoch [87/100], Step[78/526], Loss: 0.7009
Epoch [87/100], Step[79/526], Loss: 0.6970
Epoch [87/100], Step[80/526], Loss: 0.7038
Epoch [87/100], Step[81/526], Loss: 0.7025
Epoch [87/100], Step[82/526], Loss: 0.7265
Epoch [87/100], Step[83/526], Loss: 0.7030
Epoch [87/100], Step[84/526], Loss: 0.6883
Epoch [87/100], Step[85/526], Loss: 0.6644
Epoch [87/100], Step[86/526], Loss: 0.6791
Epoch [87/100], Step[87/526], Loss: 0.6882
Epoch [87/100], Step[88/526], Loss: 0.6941
Epoch [87/100], Step[89/526], Loss: 0.7307
Epoch [87/100], Step[90/526], Loss: 0.6666
Epoch [87/100], Step[91/526], Loss: 0.6940
Epoch [87/100], Step[92/526], Loss: 0.6736
Epoch [87/100], Step[93/526], Loss: 0.6996
Epoch [87/100], Step[94/526], Loss: 0.8018
Epoch [87/100], Step[95/526], Loss: 0.7217
Epoch [87/100], Step[96/526], Loss: 0.6196
Epoch [87/100], Step[97/526], Loss: 0.5765
Epoch [87/100], Step[98/526], Loss: 0.6777
Epoch [87/100], Step[99/526], Loss: 0.6853
Epoch [87/100], Step[100/526], Loss: 0.6362
Epoch [87/100], Step[101/526], Loss: 0.6659
Epoch [87/100], Step[102/526], Loss: 0.6280
Epoch [87/100], Step[103/526], Loss: 0.7385
Epoch [87/100], Step[104/526], Loss: 0.6594
Epoch [87/100], Step[105/526], Loss: 0.6099
Epoch [87/100], Step[106/526], Loss: 0.6856
Epoch [87/100], Step[107/526], Loss: 0.6067
Epoch [87/100], Step[108/526], Loss: 0.5885
Epoch [87/100], Step[109/526], Loss: 0.6509
Epoch [87/100], Step[110/526], Loss: 0.6792
Epoch [87/100], Step[111/526], Loss: 0.6045
Epoch [87/100], Step[112/526], Loss: 0.7231
Epoch [87/100], Step[113/526], Loss: 0.6053
Epoch [87/100], Step[114/526], Loss: 0.6443
Epoch [87/100], Step[115/526], Loss: 0.5903
Epoch [87/100], Step[116/526], Loss: 0.6341
Epoch [87/100], Step[117/526], Loss: 0.7002
Epoch [87/100], Step[118/526], Loss: 0.7692
Epoch [87/100], Step[119/526], Loss: 0.6815
Epoch [87/100], Step[120/526], Loss: 0.6736
Epoch [87/100], Step[121/526], Loss: 0.6964
Epoch [87/100], Step[122/526], Loss: 0.6028
Epoch [87/100], Step[123/526], Loss: 0.6547
Epoch [87/100], Step[124/526], Loss: 0.6697
Epoch [87/100], Step[125/526], Loss: 0.6337
Epoch [87/100], Step[126/526], Loss: 0.7172
Epoch [87/100], Step[127/526], Loss: 0.6686
Epoch [87/100], Step[128/526], Loss: 0.6241
Epoch [87/100], Step[129/526], Loss: 0.6032
Epoch [87/100], Step[130/526], Loss: 0.6455
Epoch [87/100], Step[131/526], Loss: 0.6714
Epoch [87/100], Step[132/526], Loss: 0.6994
Epoch [87/100], Step[133/526], Loss: 0.6656
Epoch [87/100], Step[134/526], Loss: 0.6276
Epoch [87/100], Step[135/526], Loss: 0.6405
Epoch [87/100], Step[136/526], Loss: 0.5592
Epoch [87/100], Step[137/526], Loss: 0.6489
Epoch [87/100], Step[138/526], Loss: 0.6461
Epoch [87/100], Step[139/526], Loss: 0.6928
Epoch [87/100], Step[140/526], Loss: 0.5842
Epoch [87/100], Step[141/526], Loss: 0.6595
Epoch [87/100], Step[142/526], Loss: 0.6772
Epoch [87/100], Step[143/526], Loss: 0.6921
Epoch [87/100], Step[144/526], Loss: 0.7865
Epoch [87/100], Step[145/526], Loss: 0.5789
Epoch [87/100], Step[146/526], Loss: 0.4845
Epoch [87/100], Step[147/526], Loss: 0.4880
Epoch [87/100], Step[148/526], Loss: 0.5924
Epoch [87/100], Step[149/526], Loss: 0.4900
Epoch [87/100], Step[150/526], Loss: 0.5584
Epoch [87/100], Step[151/526], Loss: 0.5463
Epoch [87/100], Step[152/526], Loss: 0.6361
Epoch [87/100], Step[153/526], Loss: 0.6478
Epoch [87/100], Step[154/526], Loss: 0.6999
Epoch [87/100], Step[155/526], Loss: 0.7140
Epoch [87/100], Step[156/526], Loss: 0.5409
Epoch [87/100], Step[157/526], Loss: 0.2777
Epoch [87/100], Step[158/526], Loss: 0.6011
Epoch [87/100], Step[159/526], Loss: 0.6551
Epoch [87/100], Step[160/526], Loss: 0.5600
Epoch [87/100], Step[161/526], Loss: 0.8007
Epoch [87/100], Step[162/526], Loss: 0.7144
Epoch [87/100], Step[163/526], Loss: 0.7243
Epoch [87/100], Step[164/526], Loss: 0.6208
Epoch [87/100], Step[165/526], Loss: 0.7291
Epoch [87/100], Step[166/526], Loss: 0.5266
Epoch [87/100], Step[167/526], Loss: 0.5687
Epoch [87/100], Step[168/526], Loss: 0.6907
Epoch [87/100], Step[169/526], Loss: 0.7409
Epoch [87/100], Step[170/526], Loss: 0.7055
Epoch [87/100], Step[171/526], Loss: 0.7383
Epoch [87/100], Step[172/526], Loss: 0.7129
Epoch [87/100], Step[173/526], Loss: 0.8175
Epoch [87/100], Step[174/526], Loss: 0.6319
Epoch [87/100], Step[175/526], Loss: 0.6777
Epoch [87/100], Step[176/526], Loss: 0.6152
Epoch [87/100], Step[177/526], Loss: 0.6707
Epoch [87/100], Step[178/526], Loss: 0.6893
Epoch [87/100], Step[179/526], Loss: 0.6214
Epoch [87/100], Step[180/526], Loss: 0.6768
Epoch [87/100], Step[181/526], Loss: 0.6534
Epoch [87/100], Step[182/526], Loss: 0.6659
Epoch [87/100], Step[183/526], Loss: 0.5491
Epoch [87/100], Step[184/526], Loss: 0.6133
Epoch [87/100], Step[185/526], Loss: 0.6102
Epoch [87/100], Step[186/526], Loss: 0.6413
Epoch [87/100], Step[187/526], Loss: 0.7618
Epoch [87/100], Step[188/526], Loss: 0.7000
Epoch [87/100], Step[189/526], Loss: 0.6606
Epoch [87/100], Step[190/526], Loss: 0.6768
Epoch [87/100], Step[191/526], Loss: 0.6884
Epoch [87/100], Step[192/526], Loss: 0.7730
Epoch [87/100], Step[193/526], Loss: 0.6430
Epoch [87/100], Step[194/526], Loss: 0.5898
Epoch [87/100], Step[195/526], Loss: 0.6543
Epoch [87/100], Step[196/526], Loss: 0.7305
Epoch [87/100], Step[197/526], Loss: 0.6525
Epoch [87/100], Step[198/526], Loss: 0.6101
Epoch [87/100], Step[199/526], Loss: 0.7429
Epoch [87/100], Step[200/526], Loss: 0.6778
Epoch [87/100], Step[201/526], Loss: 0.6767
Epoch [87/100], Step[202/526], Loss: 0.7601
Epoch [87/100], Step[203/526], Loss: 0.6997
Epoch [87/100], Step[204/526], Loss: 0.7166
Epoch [87/100], Step[205/526], Loss: 0.6856
Epoch [87/100], Step[206/526], Loss: 0.6828
Epoch [87/100], Step[207/526], Loss: 0.7018
Epoch [87/100], Step[208/526], Loss: 0.6829
Epoch [87/100], Step[209/526], Loss: 0.6809
Epoch [87/100], Step[210/526], Loss: 0.7485
Epoch [87/100], Step[211/526], Loss: 0.6252
Epoch [87/100], Step[212/526], Loss: 0.6841
Epoch [87/100], Step[213/526], Loss: 0.7139
Epoch [87/100], Step[214/526], Loss: 0.6966
Epoch [87/100], Step[215/526], Loss: 0.6921
Epoch [87/100], Step[216/526], Loss: 0.6718
Epoch [87/100], Step[217/526], Loss: 0.6404
Epoch [87/100], Step[218/526], Loss: 0.6896
Epoch [87/100], Step[219/526], Loss: 0.6838
Epoch [87/100], Step[220/526], Loss: 0.7058
Epoch [87/100], Step[221/526], Loss: 0.6845
Epoch [87/100], Step[222/526], Loss: 0.7075
Epoch [87/100], Step[223/526], Loss: 0.6000
Epoch [87/100], Step[224/526], Loss: 0.6578
Epoch [87/100], Step[225/526], Loss: 0.6517
Epoch [87/100], Step[226/526], Loss: 0.6536
Epoch [87/100], Step[227/526], Loss: 0.6495
Epoch [87/100], Step[228/526], Loss: 0.6855
Epoch [87/100], Step[229/526], Loss: 0.7120
Epoch [87/100], Step[230/526], Loss: 0.6179
Epoch [87/100], Step[231/526], Loss: 0.6233
Epoch [87/100], Step[232/526], Loss: 0.6278
Epoch [87/100], Step[233/526], Loss: 0.6768
Epoch [87/100], Step[234/526], Loss: 0.6229
Epoch [87/100], Step[235/526], Loss: 0.6508
Epoch [87/100], Step[236/526], Loss: 0.6888
Epoch [87/100], Step[237/526], Loss: 0.7444
Epoch [87/100], Step[238/526], Loss: 0.5772
Epoch [87/100], Step[239/526], Loss: 0.6579
Epoch [87/100], Step[240/526], Loss: 0.6402
Epoch [87/100], Step[241/526], Loss: 0.5985
Epoch [87/100], Step[242/526], Loss: 0.5894
Epoch [87/100], Step[243/526], Loss: 0.5936
Epoch [87/100], Step[244/526], Loss: 0.5542
Epoch [87/100], Step[245/526], Loss: 0.5900
Epoch [87/100], Step[246/526], Loss: 0.6440
Epoch [87/100], Step[247/526], Loss: 0.5052
Epoch [87/100], Step[248/526], Loss: 0.5473
Epoch [87/100], Step[249/526], Loss: 0.7620
Epoch [87/100], Step[250/526], Loss: 0.7507
Epoch [87/100], Step[251/526], Loss: 0.6584
Epoch [87/100], Step[252/526], Loss: 0.6822
Epoch [87/100], Step[253/526], Loss: 0.6263
Epoch [87/100], Step[254/526], Loss: 0.6783
Epoch [87/100], Step[255/526], Loss: 0.6022
Epoch [87/100], Step[256/526], Loss: 0.6641
Epoch [87/100], Step[257/526], Loss: 0.6306
Epoch [87/100], Step[258/526], Loss: 0.6233
Epoch [87/100], Step[259/526], Loss: 0.7057
Epoch [87/100], Step[260/526], Loss: 0.7152
Epoch [87/100], Step[261/526], Loss: 0.7392
Epoch [87/100], Step[262/526], Loss: 0.5729
Epoch [87/100], Step[263/526], Loss: 0.6468
Epoch [87/100], Step[264/526], Loss: 0.5937
Epoch [87/100], Step[265/526], Loss: 0.3724
Epoch [87/100], Step[266/526], Loss: 0.3714
Epoch [87/100], Step[267/526], Loss: 0.4523
Epoch [87/100], Step[268/526], Loss: 0.5786
Epoch [87/100], Step[269/526], Loss: 0.4648
Epoch [87/100], Step[270/526], Loss: 0.4173
Epoch [87/100], Step[271/526], Loss: 0.5587
Epoch [87/100], Step[272/526], Loss: 0.5511
Epoch [87/100], Step[273/526], Loss: 0.6509
Epoch [87/100], Step[274/526], Loss: 0.4549
Epoch [87/100], Step[275/526], Loss: 0.4011
Epoch [87/100], Step[276/526], Loss: 0.4932
Epoch [87/100], Step[277/526], Loss: 0.3584
Epoch [87/100], Step[278/526], Loss: 0.4757
Epoch [87/100], Step[279/526], Loss: 0.4433
Epoch [87/100], Step[280/526], Loss: 0.5018
Epoch [87/100], Step[281/526], Loss: 0.7137
Epoch [87/100], Step[282/526], Loss: 0.4330
Epoch [87/100], Step[283/526], Loss: 0.3836
Epoch [87/100], Step[284/526], Loss: 0.4509
Epoch [87/100], Step[285/526], Loss: 0.2986
Epoch [87/100], Step[286/526], Loss: 0.7334
Epoch [87/100], Step[287/526], Loss: 0.5217
Epoch [87/100], Step[288/526], Loss: 0.3970
Epoch [87/100], Step[289/526], Loss: 0.6047
Epoch [87/100], Step[290/526], Loss: 0.4475
Epoch [87/100], Step[291/526], Loss: 0.4578
Epoch [87/100], Step[292/526], Loss: 0.2879
Epoch [87/100], Step[293/526], Loss: 0.3118
Epoch [87/100], Step[294/526], Loss: 0.3444
Epoch [87/100], Step[295/526], Loss: 0.4348
Epoch [87/100], Step[296/526], Loss: 0.6012
Epoch [87/100], Step[297/526], Loss: 0.3490
Epoch [87/100], Step[298/526], Loss: 0.2945
Epoch [87/100], Step[299/526], Loss: 0.2539
Epoch [87/100], Step[300/526], Loss: 0.2742
Epoch [87/100], Step[301/526], Loss: 0.6314
Epoch [87/100], Step[302/526], Loss: 0.3766
Epoch [87/100], Step[303/526], Loss: 0.4378
Epoch [87/100], Step[304/526], Loss: 0.2706
Epoch [87/100], Step[305/526], Loss: 0.2753
Epoch [87/100], Step[306/526], Loss: 0.5712
Epoch [87/100], Step[307/526], Loss: 0.9073
Epoch [87/100], Step[308/526], Loss: 1.3276
Epoch [87/100], Step[309/526], Loss: 0.9659
Epoch [87/100], Step[310/526], Loss: 0.9168
Epoch [87/100], Step[311/526], Loss: 0.8148
Epoch [87/100], Step[312/526], Loss: 0.4838
Epoch [87/100], Step[313/526], Loss: 0.4466
Epoch [87/100], Step[314/526], Loss: 0.6134
Epoch [87/100], Step[315/526], Loss: 0.7620
Epoch [87/100], Step[316/526], Loss: 0.4971
Epoch [87/100], Step[317/526], Loss: 0.3317
Epoch [87/100], Step[318/526], Loss: 0.7831
Epoch [87/100], Step[319/526], Loss: 0.3625
Epoch [87/100], Step[320/526], Loss: 0.6487
Epoch [87/100], Step[321/526], Loss: 0.7442
Epoch [87/100], Step[322/526], Loss: 0.2833
Epoch [87/100], Step[323/526], Loss: 0.6109
Epoch [87/100], Step[324/526], Loss: 0.6696
Epoch [87/100], Step[325/526], Loss: 0.5845
Epoch [87/100], Step[326/526], Loss: 0.7549
Epoch [87/100], Step[327/526], Loss: 0.7386
Epoch [87/100], Step[328/526], Loss: 0.9336
Epoch [87/100], Step[329/526], Loss: 1.2863
Epoch [87/100], Step[330/526], Loss: 1.0365
Epoch [87/100], Step[331/526], Loss: 0.7811
Epoch [87/100], Step[332/526], Loss: 0.8534
Epoch [87/100], Step[333/526], Loss: 0.7336
Epoch [87/100], Step[334/526], Loss: 0.7554
Epoch [87/100], Step[335/526], Loss: 0.7572
Epoch [87/100], Step[336/526], Loss: 0.6464
Epoch [87/100], Step[337/526], Loss: 0.5820
Epoch [87/100], Step[338/526], Loss: 0.7146
Epoch [87/100], Step[339/526], Loss: 0.6470
Epoch [87/100], Step[340/526], Loss: 0.7263
Epoch [87/100], Step[341/526], Loss: 0.7571
Epoch [87/100], Step[342/526], Loss: 0.7641
Epoch [87/100], Step[343/526], Loss: 0.5365
Epoch [87/100], Step[344/526], Loss: 0.7076
Epoch [87/100], Step[345/526], Loss: 0.6841
Epoch [87/100], Step[346/526], Loss: 0.6820
Epoch [87/100], Step[347/526], Loss: 0.7163
Epoch [87/100], Step[348/526], Loss: 0.6380
Epoch [87/100], Step[349/526], Loss: 0.5633
Epoch [87/100], Step[350/526], Loss: 0.6396
Epoch [87/100], Step[351/526], Loss: 0.6965
Epoch [87/100], Step[352/526], Loss: 0.6176
Epoch [87/100], Step[353/526], Loss: 0.6700
Epoch [87/100], Step[354/526], Loss: 0.6806
Epoch [87/100], Step[355/526], Loss: 0.6735
Epoch [87/100], Step[356/526], Loss: 0.6925
Epoch [87/100], Step[357/526], Loss: 0.6383
Epoch [87/100], Step[358/526], Loss: 0.7149
Epoch [87/100], Step[359/526], Loss: 0.6356
Epoch [87/100], Step[360/526], Loss: 0.6777
Epoch [87/100], Step[361/526], Loss: 0.7095
Epoch [87/100], Step[362/526], Loss: 0.6935
Epoch [87/100], Step[363/526], Loss: 0.7010
Epoch [87/100], Step[364/526], Loss: 0.7268
Epoch [87/100], Step[365/526], Loss: 0.7396
Epoch [87/100], Step[366/526], Loss: 0.6922
Epoch [87/100], Step[367/526], Loss: 0.6774
Epoch [87/100], Step[368/526], Loss: 0.6590
Epoch [87/100], Step[369/526], Loss: 0.6371
Epoch [87/100], Step[370/526], Loss: 0.9465
Epoch [87/100], Step[371/526], Loss: 0.7353
Epoch [87/100], Step[372/526], Loss: 0.6418
Epoch [87/100], Step[373/526], Loss: 0.6718
Epoch [87/100], Step[374/526], Loss: 0.6937
Epoch [87/100], Step[375/526], Loss: 0.6303
Epoch [87/100], Step[376/526], Loss: 0.6177
Epoch [87/100], Step[377/526], Loss: 0.6805
Epoch [87/100], Step[378/526], Loss: 0.6735
Epoch [87/100], Step[379/526], Loss: 0.7899
Epoch [87/100], Step[380/526], Loss: 0.5979
Epoch [87/100], Step[381/526], Loss: 0.5804
Epoch [87/100], Step[382/526], Loss: 0.6640
Epoch [87/100], Step[383/526], Loss: 0.6869
Epoch [87/100], Step[384/526], Loss: 0.6347
Epoch [87/100], Step[385/526], Loss: 0.6300
Epoch [87/100], Step[386/526], Loss: 0.6222
Epoch [87/100], Step[387/526], Loss: 0.6564
Epoch [87/100], Step[388/526], Loss: 0.5773
Epoch [87/100], Step[389/526], Loss: 0.7373
Epoch [87/100], Step[390/526], Loss: 0.5594
Epoch [87/100], Step[391/526], Loss: 0.6218
Epoch [87/100], Step[392/526], Loss: 0.7288
Epoch [87/100], Step[393/526], Loss: 0.5811
Epoch [87/100], Step[394/526], Loss: 0.5028
Epoch [87/100], Step[395/526], Loss: 0.5928
Epoch [87/100], Step[396/526], Loss: 0.6275
Epoch [87/100], Step[397/526], Loss: 0.4737
Epoch [87/100], Step[398/526], Loss: 0.6089
Epoch [87/100], Step[399/526], Loss: 0.6657
Epoch [87/100], Step[400/526], Loss: 0.4643
Epoch [87/100], Step[401/526], Loss: 0.6042
Epoch [87/100], Step[402/526], Loss: 0.6306
Epoch [87/100], Step[403/526], Loss: 0.7295
Epoch [87/100], Step[404/526], Loss: 0.4720
Epoch [87/100], Step[405/526], Loss: 0.4855
Epoch [87/100], Step[406/526], Loss: 0.6409
Epoch [87/100], Step[407/526], Loss: 0.7608
Epoch [87/100], Step[408/526], Loss: 0.6554
Epoch [87/100], Step[409/526], Loss: 0.4818
Epoch [87/100], Step[410/526], Loss: 0.5020
Epoch [87/100], Step[411/526], Loss: 0.5300
Epoch [87/100], Step[412/526], Loss: 0.5975
Epoch [87/100], Step[413/526], Loss: 0.6041
Epoch [87/100], Step[414/526], Loss: 0.6473
Epoch [87/100], Step[415/526], Loss: 0.6029
Epoch [87/100], Step[416/526], Loss: 0.5905
Epoch [87/100], Step[417/526], Loss: 0.4842
Epoch [87/100], Step[418/526], Loss: 0.7839
Epoch [87/100], Step[419/526], Loss: 0.6702
Epoch [87/100], Step[420/526], Loss: 0.6784
Epoch [87/100], Step[421/526], Loss: 0.6590
Epoch [87/100], Step[422/526], Loss: 0.7602
Epoch [87/100], Step[423/526], Loss: 0.7012
Epoch [87/100], Step[424/526], Loss: 0.7544
Epoch [87/100], Step[425/526], Loss: 0.7157
Epoch [87/100], Step[426/526], Loss: 0.7433
Epoch [87/100], Step[427/526], Loss: 0.7081
Epoch [87/100], Step[428/526], Loss: 0.7113
Epoch [87/100], Step[429/526], Loss: 0.7467
Epoch [87/100], Step[430/526], Loss: 0.7803
Epoch [87/100], Step[431/526], Loss: 0.7063
Epoch [87/100], Step[432/526], Loss: 0.7165
Epoch [87/100], Step[433/526], Loss: 0.6682
Epoch [87/100], Step[434/526], Loss: 0.6109
Epoch [87/100], Step[435/526], Loss: 0.7718
Epoch [87/100], Step[436/526], Loss: 0.8105
Epoch [87/100], Step[437/526], Loss: 0.4976
Epoch [87/100], Step[438/526], Loss: 0.3736
Epoch [87/100], Step[439/526], Loss: 0.7186
Epoch [87/100], Step[440/526], Loss: 0.6861
Epoch [87/100], Step[441/526], Loss: 0.6996
Epoch [87/100], Step[442/526], Loss: 0.6547
Epoch [87/100], Step[443/526], Loss: 0.6664
Epoch [87/100], Step[444/526], Loss: 0.7565
Epoch [87/100], Step[445/526], Loss: 0.7160
Epoch [87/100], Step[446/526], Loss: 0.6990
Epoch [87/100], Step[447/526], Loss: 0.7325
Epoch [87/100], Step[448/526], Loss: 0.7249
Epoch [87/100], Step[449/526], Loss: 0.6693
Epoch [87/100], Step[450/526], Loss: 0.5961
Epoch [87/100], Step[451/526], Loss: 0.6795
Epoch [87/100], Step[452/526], Loss: 0.7334
Epoch [87/100], Step[453/526], Loss: 0.7012
Epoch [87/100], Step[454/526], Loss: 0.8402
Epoch [87/100], Step[455/526], Loss: 0.6310
Epoch [87/100], Step[456/526], Loss: 0.6522
Epoch [87/100], Step[457/526], Loss: 0.6967
Epoch [87/100], Step[458/526], Loss: 0.6844
Epoch [87/100], Step[459/526], Loss: 0.6405
Epoch [87/100], Step[460/526], Loss: 0.6185
Epoch [87/100], Step[461/526], Loss: 0.5863
Epoch [87/100], Step[462/526], Loss: 0.6499
Epoch [87/100], Step[463/526], Loss: 0.6374
Epoch [87/100], Step[464/526], Loss: 0.6134
Epoch [87/100], Step[465/526], Loss: 0.6422
Epoch [87/100], Step[466/526], Loss: 0.6601
Epoch [87/100], Step[467/526], Loss: 0.6396
Epoch [87/100], Step[468/526], Loss: 0.5847
Epoch [87/100], Step[469/526], Loss: 0.8484
Epoch [87/100], Step[470/526], Loss: 0.6603
Epoch [87/100], Step[471/526], Loss: 0.7055
Epoch [87/100], Step[472/526], Loss: 0.6788
Epoch [87/100], Step[473/526], Loss: 0.6793
Epoch [87/100], Step[474/526], Loss: 0.6698
Epoch [87/100], Step[475/526], Loss: 0.8612
Epoch [87/100], Step[476/526], Loss: 0.7433
Epoch [87/100], Step[477/526], Loss: 0.6851
Epoch [87/100], Step[478/526], Loss: 0.6941
Epoch [87/100], Step[479/526], Loss: 0.6612
Epoch [87/100], Step[480/526], Loss: 0.7281
Epoch [87/100], Step[481/526], Loss: 0.7404
Epoch [87/100], Step[482/526], Loss: 0.6544
Epoch [87/100], Step[483/526], Loss: 0.5328
Epoch [87/100], Step[484/526], Loss: 0.7328
Epoch [87/100], Step[485/526], Loss: 0.7863
Epoch [87/100], Step[486/526], Loss: 0.7450
Epoch [87/100], Step[487/526], Loss: 0.7726
Epoch [87/100], Step[488/526], Loss: 0.6601
Epoch [87/100], Step[489/526], Loss: 0.6182
Epoch [87/100], Step[490/526], Loss: 0.5900
Epoch [87/100], Step[491/526], Loss: 0.6806
Epoch [87/100], Step[492/526], Loss: 0.6445
Epoch [87/100], Step[493/526], Loss: 0.6306
Epoch [87/100], Step[494/526], Loss: 0.6852
Epoch [87/100], Step[495/526], Loss: 0.6936
Epoch [87/100], Step[496/526], Loss: 0.6505
Epoch [87/100], Step[497/526], Loss: 0.6301
Epoch [87/100], Step[498/526], Loss: 0.6780
Epoch [87/100], Step[499/526], Loss: 0.6616
Epoch [87/100], Step[500/526], Loss: 0.6874
Epoch [87/100], Step[501/526], Loss: 0.6695
Epoch [87/100], Step[502/526], Loss: 0.6995
Epoch [87/100], Step[503/526], Loss: 0.7104
Epoch [87/100], Step[504/526], Loss: 0.7064
Epoch [87/100], Step[505/526], Loss: 0.7275
Epoch [87/100], Step[506/526], Loss: 0.6634
Epoch [87/100], Step[507/526], Loss: 0.6783
Epoch [87/100], Step[508/526], Loss: 0.7044
Epoch [87/100], Step[509/526], Loss: 0.6407
Epoch [87/100], Step[510/526], Loss: 0.6995
Epoch [87/100], Step[511/526], Loss: 0.6320
Epoch [87/100], Step[512/526], Loss: 0.6601
Epoch [87/100], Step[513/526], Loss: 0.6324
Epoch [87/100], Step[514/526], Loss: 0.6538
Epoch [87/100], Step[515/526], Loss: 0.5540
Epoch [87/100], Step[516/526], Loss: 0.7560
Epoch [87/100], Step[517/526], Loss: 0.6888
Epoch [87/100], Step[518/526], Loss: 0.7418
Epoch [87/100], Step[519/526], Loss: 0.7240
Epoch [87/100], Step[520/526], Loss: 0.6851
Epoch [87/100], Step[521/526], Loss: 0.6784
Epoch [87/100], Step[522/526], Loss: 0.5828
Epoch [87/100], Step[523/526], Loss: 0.6440
Epoch [87/100], Step[524/526], Loss: 0.6164
Epoch [87/100], Step[525/526], Loss: 0.7613
Epoch [87/100], Step[526/526], Loss: 0.7223
Epoch [88/100], Step[1/526], Loss: 0.6558
Epoch [88/100], Step[2/526], Loss: 0.6449
Epoch [88/100], Step[3/526], Loss: 0.6690
Epoch [88/100], Step[4/526], Loss: 0.6304
Epoch [88/100], Step[5/526], Loss: 0.7386
Epoch [88/100], Step[6/526], Loss: 0.7504
Epoch [88/100], Step[7/526], Loss: 0.6885
Epoch [88/100], Step[8/526], Loss: 0.6750
Epoch [88/100], Step[9/526], Loss: 0.6959
Epoch [88/100], Step[10/526], Loss: 0.6476
Epoch [88/100], Step[11/526], Loss: 0.7041
Epoch [88/100], Step[12/526], Loss: 0.7480
Epoch [88/100], Step[13/526], Loss: 0.6047
Epoch [88/100], Step[14/526], Loss: 0.6583
Epoch [88/100], Step[15/526], Loss: 0.6732
Epoch [88/100], Step[16/526], Loss: 0.7120
Epoch [88/100], Step[17/526], Loss: 0.7189
Epoch [88/100], Step[18/526], Loss: 0.6423
Epoch [88/100], Step[19/526], Loss: 0.6758
Epoch [88/100], Step[20/526], Loss: 0.7512
Epoch [88/100], Step[21/526], Loss: 0.7690
Epoch [88/100], Step[22/526], Loss: 0.7486
Epoch [88/100], Step[23/526], Loss: 0.7326
Epoch [88/100], Step[24/526], Loss: 0.7268
Epoch [88/100], Step[25/526], Loss: 0.6972
Epoch [88/100], Step[26/526], Loss: 0.6272
Epoch [88/100], Step[27/526], Loss: 0.6810
Epoch [88/100], Step[28/526], Loss: 0.6914
Epoch [88/100], Step[29/526], Loss: 0.6423
Epoch [88/100], Step[30/526], Loss: 0.6963
Epoch [88/100], Step[31/526], Loss: 0.7082
Epoch [88/100], Step[32/526], Loss: 0.6773
Epoch [88/100], Step[33/526], Loss: 0.7084
Epoch [88/100], Step[34/526], Loss: 0.7048
Epoch [88/100], Step[35/526], Loss: 0.7321
Epoch [88/100], Step[36/526], Loss: 0.7068
Epoch [88/100], Step[37/526], Loss: 0.6903
Epoch [88/100], Step[38/526], Loss: 0.7199
Epoch [88/100], Step[39/526], Loss: 0.6817
Epoch [88/100], Step[40/526], Loss: 0.7034
Epoch [88/100], Step[41/526], Loss: 0.6644
Epoch [88/100], Step[42/526], Loss: 0.7266
Epoch [88/100], Step[43/526], Loss: 0.7130
Epoch [88/100], Step[44/526], Loss: 0.6962
Epoch [88/100], Step[45/526], Loss: 0.6982
Epoch [88/100], Step[46/526], Loss: 0.6791
Epoch [88/100], Step[47/526], Loss: 0.6913
Epoch [88/100], Step[48/526], Loss: 0.7192
Epoch [88/100], Step[49/526], Loss: 0.7032
Epoch [88/100], Step[50/526], Loss: 0.7015
Epoch [88/100], Step[51/526], Loss: 0.7018
Epoch [88/100], Step[52/526], Loss: 0.6792
Epoch [88/100], Step[53/526], Loss: 0.7185
Epoch [88/100], Step[54/526], Loss: 0.6980
Epoch [88/100], Step[55/526], Loss: 0.6938
Epoch [88/100], Step[56/526], Loss: 0.6774
Epoch [88/100], Step[57/526], Loss: 0.6862
Epoch [88/100], Step[58/526], Loss: 0.6686
Epoch [88/100], Step[59/526], Loss: 0.6611
Epoch [88/100], Step[60/526], Loss: 0.6584
Epoch [88/100], Step[61/526], Loss: 0.6564
Epoch [88/100], Step[62/526], Loss: 0.7067
Epoch [88/100], Step[63/526], Loss: 0.6817
Epoch [88/100], Step[64/526], Loss: 0.6773
Epoch [88/100], Step[65/526], Loss: 0.7212
Epoch [88/100], Step[66/526], Loss: 0.6814
Epoch [88/100], Step[67/526], Loss: 0.6383
Epoch [88/100], Step[68/526], Loss: 0.6571
Epoch [88/100], Step[69/526], Loss: 0.6852
Epoch [88/100], Step[70/526], Loss: 0.6746
Epoch [88/100], Step[71/526], Loss: 0.6605
Epoch [88/100], Step[72/526], Loss: 0.6888
Epoch [88/100], Step[73/526], Loss: 0.7158
Epoch [88/100], Step[74/526], Loss: 0.6605
Epoch [88/100], Step[75/526], Loss: 0.7067
Epoch [88/100], Step[76/526], Loss: 0.6968
Epoch [88/100], Step[77/526], Loss: 0.7038
Epoch [88/100], Step[78/526], Loss: 0.7012
Epoch [88/100], Step[79/526], Loss: 0.6994
Epoch [88/100], Step[80/526], Loss: 0.7034
Epoch [88/100], Step[81/526], Loss: 0.7027
Epoch [88/100], Step[82/526], Loss: 0.7264
Epoch [88/100], Step[83/526], Loss: 0.7028
Epoch [88/100], Step[84/526], Loss: 0.6838
Epoch [88/100], Step[85/526], Loss: 0.6641
Epoch [88/100], Step[86/526], Loss: 0.6779
Epoch [88/100], Step[87/526], Loss: 0.6882
Epoch [88/100], Step[88/526], Loss: 0.6924
Epoch [88/100], Step[89/526], Loss: 0.7296
Epoch [88/100], Step[90/526], Loss: 0.6687
Epoch [88/100], Step[91/526], Loss: 0.6907
Epoch [88/100], Step[92/526], Loss: 0.6746
Epoch [88/100], Step[93/526], Loss: 0.6971
Epoch [88/100], Step[94/526], Loss: 0.8050
Epoch [88/100], Step[95/526], Loss: 0.7220
Epoch [88/100], Step[96/526], Loss: 0.6210
Epoch [88/100], Step[97/526], Loss: 0.5776
Epoch [88/100], Step[98/526], Loss: 0.6811
Epoch [88/100], Step[99/526], Loss: 0.6852
Epoch [88/100], Step[100/526], Loss: 0.6364
Epoch [88/100], Step[101/526], Loss: 0.6649
Epoch [88/100], Step[102/526], Loss: 0.6238
Epoch [88/100], Step[103/526], Loss: 0.7299
Epoch [88/100], Step[104/526], Loss: 0.6528
Epoch [88/100], Step[105/526], Loss: 0.6087
Epoch [88/100], Step[106/526], Loss: 0.6845
Epoch [88/100], Step[107/526], Loss: 0.6093
Epoch [88/100], Step[108/526], Loss: 0.5887
Epoch [88/100], Step[109/526], Loss: 0.6562
Epoch [88/100], Step[110/526], Loss: 0.6822
Epoch [88/100], Step[111/526], Loss: 0.6040
Epoch [88/100], Step[112/526], Loss: 0.7251
Epoch [88/100], Step[113/526], Loss: 0.6052
Epoch [88/100], Step[114/526], Loss: 0.6434
Epoch [88/100], Step[115/526], Loss: 0.5923
Epoch [88/100], Step[116/526], Loss: 0.6367
Epoch [88/100], Step[117/526], Loss: 0.6960
Epoch [88/100], Step[118/526], Loss: 0.7657
Epoch [88/100], Step[119/526], Loss: 0.6777
Epoch [88/100], Step[120/526], Loss: 0.6717
Epoch [88/100], Step[121/526], Loss: 0.6941
Epoch [88/100], Step[122/526], Loss: 0.6059
Epoch [88/100], Step[123/526], Loss: 0.6560
Epoch [88/100], Step[124/526], Loss: 0.6678
Epoch [88/100], Step[125/526], Loss: 0.6360
Epoch [88/100], Step[126/526], Loss: 0.7149
Epoch [88/100], Step[127/526], Loss: 0.6681
Epoch [88/100], Step[128/526], Loss: 0.6241
Epoch [88/100], Step[129/526], Loss: 0.6089
Epoch [88/100], Step[130/526], Loss: 0.6428
Epoch [88/100], Step[131/526], Loss: 0.6762
Epoch [88/100], Step[132/526], Loss: 0.7190
Epoch [88/100], Step[133/526], Loss: 0.6687
Epoch [88/100], Step[134/526], Loss: 0.6307
Epoch [88/100], Step[135/526], Loss: 0.6432
Epoch [88/100], Step[136/526], Loss: 0.5615
Epoch [88/100], Step[137/526], Loss: 0.6507
Epoch [88/100], Step[138/526], Loss: 0.6581
Epoch [88/100], Step[139/526], Loss: 0.6920
Epoch [88/100], Step[140/526], Loss: 0.5860
Epoch [88/100], Step[141/526], Loss: 0.6559
Epoch [88/100], Step[142/526], Loss: 0.6777
Epoch [88/100], Step[143/526], Loss: 0.6920
Epoch [88/100], Step[144/526], Loss: 0.7584
Epoch [88/100], Step[145/526], Loss: 0.5215
Epoch [88/100], Step[146/526], Loss: 0.4979
Epoch [88/100], Step[147/526], Loss: 0.4820
Epoch [88/100], Step[148/526], Loss: 0.5935
Epoch [88/100], Step[149/526], Loss: 0.4961
Epoch [88/100], Step[150/526], Loss: 0.5492
Epoch [88/100], Step[151/526], Loss: 0.5469
Epoch [88/100], Step[152/526], Loss: 0.6285
Epoch [88/100], Step[153/526], Loss: 0.6477
Epoch [88/100], Step[154/526], Loss: 0.6928
Epoch [88/100], Step[155/526], Loss: 0.6812
Epoch [88/100], Step[156/526], Loss: 0.5434
Epoch [88/100], Step[157/526], Loss: 0.2882
Epoch [88/100], Step[158/526], Loss: 0.5894
Epoch [88/100], Step[159/526], Loss: 0.6585
Epoch [88/100], Step[160/526], Loss: 0.5573
Epoch [88/100], Step[161/526], Loss: 0.7967
Epoch [88/100], Step[162/526], Loss: 0.7108
Epoch [88/100], Step[163/526], Loss: 0.7256
Epoch [88/100], Step[164/526], Loss: 0.6224
Epoch [88/100], Step[165/526], Loss: 0.7198
Epoch [88/100], Step[166/526], Loss: 0.5286
Epoch [88/100], Step[167/526], Loss: 0.5765
Epoch [88/100], Step[168/526], Loss: 0.6973
Epoch [88/100], Step[169/526], Loss: 0.7455
Epoch [88/100], Step[170/526], Loss: 0.7031
Epoch [88/100], Step[171/526], Loss: 0.7409
Epoch [88/100], Step[172/526], Loss: 0.7140
Epoch [88/100], Step[173/526], Loss: 0.8236
Epoch [88/100], Step[174/526], Loss: 0.6299
Epoch [88/100], Step[175/526], Loss: 0.6776
Epoch [88/100], Step[176/526], Loss: 0.6134
Epoch [88/100], Step[177/526], Loss: 0.6724
Epoch [88/100], Step[178/526], Loss: 0.6886
Epoch [88/100], Step[179/526], Loss: 0.6185
Epoch [88/100], Step[180/526], Loss: 0.6781
Epoch [88/100], Step[181/526], Loss: 0.6524
Epoch [88/100], Step[182/526], Loss: 0.6684
Epoch [88/100], Step[183/526], Loss: 0.5492
Epoch [88/100], Step[184/526], Loss: 0.6157
Epoch [88/100], Step[185/526], Loss: 0.6107
Epoch [88/100], Step[186/526], Loss: 0.6421
Epoch [88/100], Step[187/526], Loss: 0.7555
Epoch [88/100], Step[188/526], Loss: 0.6970
Epoch [88/100], Step[189/526], Loss: 0.6608
Epoch [88/100], Step[190/526], Loss: 0.6819
Epoch [88/100], Step[191/526], Loss: 0.6845
Epoch [88/100], Step[192/526], Loss: 0.7764
Epoch [88/100], Step[193/526], Loss: 0.6459
Epoch [88/100], Step[194/526], Loss: 0.5916
Epoch [88/100], Step[195/526], Loss: 0.6551
Epoch [88/100], Step[196/526], Loss: 0.7236
Epoch [88/100], Step[197/526], Loss: 0.6573
Epoch [88/100], Step[198/526], Loss: 0.6151
Epoch [88/100], Step[199/526], Loss: 0.7450
Epoch [88/100], Step[200/526], Loss: 0.6790
Epoch [88/100], Step[201/526], Loss: 0.6755
Epoch [88/100], Step[202/526], Loss: 0.7468
Epoch [88/100], Step[203/526], Loss: 0.7040
Epoch [88/100], Step[204/526], Loss: 0.7109
Epoch [88/100], Step[205/526], Loss: 0.6888
Epoch [88/100], Step[206/526], Loss: 0.6833
Epoch [88/100], Step[207/526], Loss: 0.7048
Epoch [88/100], Step[208/526], Loss: 0.6839
Epoch [88/100], Step[209/526], Loss: 0.6791
Epoch [88/100], Step[210/526], Loss: 0.7568
Epoch [88/100], Step[211/526], Loss: 0.6311
Epoch [88/100], Step[212/526], Loss: 0.6845
Epoch [88/100], Step[213/526], Loss: 0.7153
Epoch [88/100], Step[214/526], Loss: 0.7086
Epoch [88/100], Step[215/526], Loss: 0.6861
Epoch [88/100], Step[216/526], Loss: 0.6729
Epoch [88/100], Step[217/526], Loss: 0.6475
Epoch [88/100], Step[218/526], Loss: 0.6950
Epoch [88/100], Step[219/526], Loss: 0.6923
Epoch [88/100], Step[220/526], Loss: 0.7175
Epoch [88/100], Step[221/526], Loss: 0.6899
Epoch [88/100], Step[222/526], Loss: 0.7267
Epoch [88/100], Step[223/526], Loss: 0.6151
Epoch [88/100], Step[224/526], Loss: 0.6554
Epoch [88/100], Step[225/526], Loss: 0.6885
Epoch [88/100], Step[226/526], Loss: 0.6566
Epoch [88/100], Step[227/526], Loss: 0.6517
Epoch [88/100], Step[228/526], Loss: 0.6774
Epoch [88/100], Step[229/526], Loss: 0.6886
Epoch [88/100], Step[230/526], Loss: 0.6354
Epoch [88/100], Step[231/526], Loss: 0.6364
Epoch [88/100], Step[232/526], Loss: 0.6490
Epoch [88/100], Step[233/526], Loss: 0.6793
Epoch [88/100], Step[234/526], Loss: 0.6037
Epoch [88/100], Step[235/526], Loss: 0.6577
Epoch [88/100], Step[236/526], Loss: 0.6781
Epoch [88/100], Step[237/526], Loss: 0.7307
Epoch [88/100], Step[238/526], Loss: 0.5858
Epoch [88/100], Step[239/526], Loss: 0.6326
Epoch [88/100], Step[240/526], Loss: 0.6362
Epoch [88/100], Step[241/526], Loss: 0.6044
Epoch [88/100], Step[242/526], Loss: 0.5796
Epoch [88/100], Step[243/526], Loss: 0.6351
Epoch [88/100], Step[244/526], Loss: 0.5532
Epoch [88/100], Step[245/526], Loss: 0.5925
Epoch [88/100], Step[246/526], Loss: 0.6514
Epoch [88/100], Step[247/526], Loss: 0.5004
Epoch [88/100], Step[248/526], Loss: 0.5487
Epoch [88/100], Step[249/526], Loss: 0.7874
Epoch [88/100], Step[250/526], Loss: 0.7742
Epoch [88/100], Step[251/526], Loss: 0.6701
Epoch [88/100], Step[252/526], Loss: 0.6862
Epoch [88/100], Step[253/526], Loss: 0.6243
Epoch [88/100], Step[254/526], Loss: 0.6787
Epoch [88/100], Step[255/526], Loss: 0.6028
Epoch [88/100], Step[256/526], Loss: 0.6679
Epoch [88/100], Step[257/526], Loss: 0.6124
Epoch [88/100], Step[258/526], Loss: 0.6222
Epoch [88/100], Step[259/526], Loss: 0.7071
Epoch [88/100], Step[260/526], Loss: 0.7087
Epoch [88/100], Step[261/526], Loss: 0.7395
Epoch [88/100], Step[262/526], Loss: 0.5660
Epoch [88/100], Step[263/526], Loss: 0.6417
Epoch [88/100], Step[264/526], Loss: 0.5869
Epoch [88/100], Step[265/526], Loss: 0.3586
Epoch [88/100], Step[266/526], Loss: 0.3569
Epoch [88/100], Step[267/526], Loss: 0.4551
Epoch [88/100], Step[268/526], Loss: 0.5766
Epoch [88/100], Step[269/526], Loss: 0.4682
Epoch [88/100], Step[270/526], Loss: 0.4161
Epoch [88/100], Step[271/526], Loss: 0.5586
Epoch [88/100], Step[272/526], Loss: 0.5522
Epoch [88/100], Step[273/526], Loss: 0.6533
Epoch [88/100], Step[274/526], Loss: 0.4496
Epoch [88/100], Step[275/526], Loss: 0.4056
Epoch [88/100], Step[276/526], Loss: 0.4912
Epoch [88/100], Step[277/526], Loss: 0.3651
Epoch [88/100], Step[278/526], Loss: 0.4765
Epoch [88/100], Step[279/526], Loss: 0.4508
Epoch [88/100], Step[280/526], Loss: 0.5057
Epoch [88/100], Step[281/526], Loss: 0.7134
Epoch [88/100], Step[282/526], Loss: 0.4315
Epoch [88/100], Step[283/526], Loss: 0.3868
Epoch [88/100], Step[284/526], Loss: 0.4528
Epoch [88/100], Step[285/526], Loss: 0.2989
Epoch [88/100], Step[286/526], Loss: 0.7387
Epoch [88/100], Step[287/526], Loss: 0.5182
Epoch [88/100], Step[288/526], Loss: 0.4026
Epoch [88/100], Step[289/526], Loss: 0.6053
Epoch [88/100], Step[290/526], Loss: 0.4495
Epoch [88/100], Step[291/526], Loss: 0.4545
Epoch [88/100], Step[292/526], Loss: 0.2887
Epoch [88/100], Step[293/526], Loss: 0.3134
Epoch [88/100], Step[294/526], Loss: 0.3454
Epoch [88/100], Step[295/526], Loss: 0.4386
Epoch [88/100], Step[296/526], Loss: 0.6040
Epoch [88/100], Step[297/526], Loss: 0.3474
Epoch [88/100], Step[298/526], Loss: 0.2955
Epoch [88/100], Step[299/526], Loss: 0.2557
Epoch [88/100], Step[300/526], Loss: 0.2755
Epoch [88/100], Step[301/526], Loss: 0.6340
Epoch [88/100], Step[302/526], Loss: 0.3766
Epoch [88/100], Step[303/526], Loss: 0.4378
Epoch [88/100], Step[304/526], Loss: 0.2695
Epoch [88/100], Step[305/526], Loss: 0.2775
Epoch [88/100], Step[306/526], Loss: 0.5719
Epoch [88/100], Step[307/526], Loss: 0.9040
Epoch [88/100], Step[308/526], Loss: 1.3308
Epoch [88/100], Step[309/526], Loss: 1.0143
Epoch [88/100], Step[310/526], Loss: 0.9158
Epoch [88/100], Step[311/526], Loss: 0.8123
Epoch [88/100], Step[312/526], Loss: 0.4828
Epoch [88/100], Step[313/526], Loss: 0.4479
Epoch [88/100], Step[314/526], Loss: 0.6127
Epoch [88/100], Step[315/526], Loss: 0.7611
Epoch [88/100], Step[316/526], Loss: 0.4957
Epoch [88/100], Step[317/526], Loss: 0.3310
Epoch [88/100], Step[318/526], Loss: 0.7825
Epoch [88/100], Step[319/526], Loss: 0.3620
Epoch [88/100], Step[320/526], Loss: 0.6529
Epoch [88/100], Step[321/526], Loss: 0.7432
Epoch [88/100], Step[322/526], Loss: 0.2838
Epoch [88/100], Step[323/526], Loss: 0.6124
Epoch [88/100], Step[324/526], Loss: 0.6722
Epoch [88/100], Step[325/526], Loss: 0.5825
Epoch [88/100], Step[326/526], Loss: 0.7540
Epoch [88/100], Step[327/526], Loss: 0.7325
Epoch [88/100], Step[328/526], Loss: 0.9318
Epoch [88/100], Step[329/526], Loss: 1.3002
Epoch [88/100], Step[330/526], Loss: 1.0408
Epoch [88/100], Step[331/526], Loss: 0.7798
Epoch [88/100], Step[332/526], Loss: 0.8567
Epoch [88/100], Step[333/526], Loss: 0.7348
Epoch [88/100], Step[334/526], Loss: 0.7587
Epoch [88/100], Step[335/526], Loss: 0.7562
Epoch [88/100], Step[336/526], Loss: 0.6499
Epoch [88/100], Step[337/526], Loss: 0.5828
Epoch [88/100], Step[338/526], Loss: 0.7132
Epoch [88/100], Step[339/526], Loss: 0.6566
Epoch [88/100], Step[340/526], Loss: 0.7257
Epoch [88/100], Step[341/526], Loss: 0.7557
Epoch [88/100], Step[342/526], Loss: 0.7652
Epoch [88/100], Step[343/526], Loss: 0.5353
Epoch [88/100], Step[344/526], Loss: 0.7050
Epoch [88/100], Step[345/526], Loss: 0.6819
Epoch [88/100], Step[346/526], Loss: 0.6777
Epoch [88/100], Step[347/526], Loss: 0.7169
Epoch [88/100], Step[348/526], Loss: 0.6365
Epoch [88/100], Step[349/526], Loss: 0.5655
Epoch [88/100], Step[350/526], Loss: 0.6417
Epoch [88/100], Step[351/526], Loss: 0.6973
Epoch [88/100], Step[352/526], Loss: 0.6304
Epoch [88/100], Step[353/526], Loss: 0.6707
Epoch [88/100], Step[354/526], Loss: 0.6800
Epoch [88/100], Step[355/526], Loss: 0.6740
Epoch [88/100], Step[356/526], Loss: 0.6932
Epoch [88/100], Step[357/526], Loss: 0.6392
Epoch [88/100], Step[358/526], Loss: 0.7132
Epoch [88/100], Step[359/526], Loss: 0.6360
Epoch [88/100], Step[360/526], Loss: 0.6767
Epoch [88/100], Step[361/526], Loss: 0.7092
Epoch [88/100], Step[362/526], Loss: 0.6934
Epoch [88/100], Step[363/526], Loss: 0.7007
Epoch [88/100], Step[364/526], Loss: 0.7257
Epoch [88/100], Step[365/526], Loss: 0.7299
Epoch [88/100], Step[366/526], Loss: 0.6827
Epoch [88/100], Step[367/526], Loss: 0.6782
Epoch [88/100], Step[368/526], Loss: 0.6582
Epoch [88/100], Step[369/526], Loss: 0.6383
Epoch [88/100], Step[370/526], Loss: 0.5477
Epoch [88/100], Step[371/526], Loss: 0.7270
Epoch [88/100], Step[372/526], Loss: 0.6405
Epoch [88/100], Step[373/526], Loss: 0.6716
Epoch [88/100], Step[374/526], Loss: 0.6939
Epoch [88/100], Step[375/526], Loss: 0.6303
Epoch [88/100], Step[376/526], Loss: 0.6305
Epoch [88/100], Step[377/526], Loss: 0.6812
Epoch [88/100], Step[378/526], Loss: 0.6747
Epoch [88/100], Step[379/526], Loss: 0.7900
Epoch [88/100], Step[380/526], Loss: 0.5970
Epoch [88/100], Step[381/526], Loss: 0.5788
Epoch [88/100], Step[382/526], Loss: 0.6639
Epoch [88/100], Step[383/526], Loss: 0.6882
Epoch [88/100], Step[384/526], Loss: 0.6345
Epoch [88/100], Step[385/526], Loss: 0.6283
Epoch [88/100], Step[386/526], Loss: 0.6241
Epoch [88/100], Step[387/526], Loss: 0.6551
Epoch [88/100], Step[388/526], Loss: 0.5827
Epoch [88/100], Step[389/526], Loss: 0.7295
Epoch [88/100], Step[390/526], Loss: 0.5591
Epoch [88/100], Step[391/526], Loss: 0.6226
Epoch [88/100], Step[392/526], Loss: 0.7281
Epoch [88/100], Step[393/526], Loss: 0.5797
Epoch [88/100], Step[394/526], Loss: 0.5007
Epoch [88/100], Step[395/526], Loss: 0.5797
Epoch [88/100], Step[396/526], Loss: 0.6281
Epoch [88/100], Step[397/526], Loss: 0.4712
Epoch [88/100], Step[398/526], Loss: 0.6087
Epoch [88/100], Step[399/526], Loss: 0.6658
Epoch [88/100], Step[400/526], Loss: 0.4621
Epoch [88/100], Step[401/526], Loss: 0.6044
Epoch [88/100], Step[402/526], Loss: 0.6303
Epoch [88/100], Step[403/526], Loss: 0.7333
Epoch [88/100], Step[404/526], Loss: 0.4711
Epoch [88/100], Step[405/526], Loss: 0.4845
Epoch [88/100], Step[406/526], Loss: 0.6393
Epoch [88/100], Step[407/526], Loss: 0.7621
Epoch [88/100], Step[408/526], Loss: 0.6555
Epoch [88/100], Step[409/526], Loss: 0.4879
Epoch [88/100], Step[410/526], Loss: 0.5006
Epoch [88/100], Step[411/526], Loss: 0.5295
Epoch [88/100], Step[412/526], Loss: 0.5963
Epoch [88/100], Step[413/526], Loss: 0.6033
Epoch [88/100], Step[414/526], Loss: 0.6473
Epoch [88/100], Step[415/526], Loss: 0.6032
Epoch [88/100], Step[416/526], Loss: 0.5899
Epoch [88/100], Step[417/526], Loss: 0.4828
Epoch [88/100], Step[418/526], Loss: 0.7836
Epoch [88/100], Step[419/526], Loss: 0.6707
Epoch [88/100], Step[420/526], Loss: 0.6795
Epoch [88/100], Step[421/526], Loss: 0.6581
Epoch [88/100], Step[422/526], Loss: 0.7600
Epoch [88/100], Step[423/526], Loss: 0.7011
Epoch [88/100], Step[424/526], Loss: 0.7544
Epoch [88/100], Step[425/526], Loss: 0.7153
Epoch [88/100], Step[426/526], Loss: 0.7444
Epoch [88/100], Step[427/526], Loss: 0.7081
Epoch [88/100], Step[428/526], Loss: 0.7115
Epoch [88/100], Step[429/526], Loss: 0.7435
Epoch [88/100], Step[430/526], Loss: 0.7821
Epoch [88/100], Step[431/526], Loss: 0.7068
Epoch [88/100], Step[432/526], Loss: 0.7171
Epoch [88/100], Step[433/526], Loss: 0.6694
Epoch [88/100], Step[434/526], Loss: 0.6107
Epoch [88/100], Step[435/526], Loss: 0.7730
Epoch [88/100], Step[436/526], Loss: 0.8054
Epoch [88/100], Step[437/526], Loss: 0.4866
Epoch [88/100], Step[438/526], Loss: 0.3726
Epoch [88/100], Step[439/526], Loss: 0.7183
Epoch [88/100], Step[440/526], Loss: 0.6823
Epoch [88/100], Step[441/526], Loss: 0.7007
Epoch [88/100], Step[442/526], Loss: 0.6540
Epoch [88/100], Step[443/526], Loss: 0.6664
Epoch [88/100], Step[444/526], Loss: 0.7564
Epoch [88/100], Step[445/526], Loss: 0.7169
Epoch [88/100], Step[446/526], Loss: 0.6916
Epoch [88/100], Step[447/526], Loss: 0.7304
Epoch [88/100], Step[448/526], Loss: 0.7251
Epoch [88/100], Step[449/526], Loss: 0.6687
Epoch [88/100], Step[450/526], Loss: 0.5987
Epoch [88/100], Step[451/526], Loss: 0.6799
Epoch [88/100], Step[452/526], Loss: 0.7329
Epoch [88/100], Step[453/526], Loss: 0.7017
Epoch [88/100], Step[454/526], Loss: 0.8389
Epoch [88/100], Step[455/526], Loss: 0.6292
Epoch [88/100], Step[456/526], Loss: 0.6367
Epoch [88/100], Step[457/526], Loss: 0.6985
Epoch [88/100], Step[458/526], Loss: 0.6747
Epoch [88/100], Step[459/526], Loss: 0.6392
Epoch [88/100], Step[460/526], Loss: 0.6096
Epoch [88/100], Step[461/526], Loss: 0.5860
Epoch [88/100], Step[462/526], Loss: 0.6440
Epoch [88/100], Step[463/526], Loss: 0.6371
Epoch [88/100], Step[464/526], Loss: 0.6126
Epoch [88/100], Step[465/526], Loss: 0.6416
Epoch [88/100], Step[466/526], Loss: 0.6663
Epoch [88/100], Step[467/526], Loss: 0.6317
Epoch [88/100], Step[468/526], Loss: 0.5851
Epoch [88/100], Step[469/526], Loss: 0.8525
Epoch [88/100], Step[470/526], Loss: 0.6602
Epoch [88/100], Step[471/526], Loss: 0.7011
Epoch [88/100], Step[472/526], Loss: 0.6740
Epoch [88/100], Step[473/526], Loss: 0.6794
Epoch [88/100], Step[474/526], Loss: 0.6696
Epoch [88/100], Step[475/526], Loss: 0.8582
Epoch [88/100], Step[476/526], Loss: 0.7507
Epoch [88/100], Step[477/526], Loss: 0.6846
Epoch [88/100], Step[478/526], Loss: 0.6935
Epoch [88/100], Step[479/526], Loss: 0.6610
Epoch [88/100], Step[480/526], Loss: 0.7274
Epoch [88/100], Step[481/526], Loss: 0.7399
Epoch [88/100], Step[482/526], Loss: 0.6532
Epoch [88/100], Step[483/526], Loss: 0.5331
Epoch [88/100], Step[484/526], Loss: 0.7243
Epoch [88/100], Step[485/526], Loss: 0.7829
Epoch [88/100], Step[486/526], Loss: 0.7449
Epoch [88/100], Step[487/526], Loss: 0.7709
Epoch [88/100], Step[488/526], Loss: 0.6626
Epoch [88/100], Step[489/526], Loss: 0.6167
Epoch [88/100], Step[490/526], Loss: 0.5862
Epoch [88/100], Step[491/526], Loss: 0.6641
Epoch [88/100], Step[492/526], Loss: 0.6485
Epoch [88/100], Step[493/526], Loss: 0.6310
Epoch [88/100], Step[494/526], Loss: 0.6844
Epoch [88/100], Step[495/526], Loss: 0.6909
Epoch [88/100], Step[496/526], Loss: 0.6515
Epoch [88/100], Step[497/526], Loss: 0.6306
Epoch [88/100], Step[498/526], Loss: 0.6771
Epoch [88/100], Step[499/526], Loss: 0.6616
Epoch [88/100], Step[500/526], Loss: 0.6998
Epoch [88/100], Step[501/526], Loss: 0.6676
Epoch [88/100], Step[502/526], Loss: 0.7012
Epoch [88/100], Step[503/526], Loss: 0.7105
Epoch [88/100], Step[504/526], Loss: 0.7101
Epoch [88/100], Step[505/526], Loss: 0.7268
Epoch [88/100], Step[506/526], Loss: 0.6529
Epoch [88/100], Step[507/526], Loss: 0.6781
Epoch [88/100], Step[508/526], Loss: 0.7024
Epoch [88/100], Step[509/526], Loss: 0.6339
Epoch [88/100], Step[510/526], Loss: 0.6996
Epoch [88/100], Step[511/526], Loss: 0.6318
Epoch [88/100], Step[512/526], Loss: 0.6605
Epoch [88/100], Step[513/526], Loss: 0.6300
Epoch [88/100], Step[514/526], Loss: 0.6538
Epoch [88/100], Step[515/526], Loss: 0.5549
Epoch [88/100], Step[516/526], Loss: 0.7567
Epoch [88/100], Step[517/526], Loss: 0.6873
Epoch [88/100], Step[518/526], Loss: 0.7414
Epoch [88/100], Step[519/526], Loss: 0.7237
Epoch [88/100], Step[520/526], Loss: 0.6846
Epoch [88/100], Step[521/526], Loss: 0.6766
Epoch [88/100], Step[522/526], Loss: 0.5818
Epoch [88/100], Step[523/526], Loss: 0.6441
Epoch [88/100], Step[524/526], Loss: 0.6159
Epoch [88/100], Step[525/526], Loss: 0.7603
Epoch [88/100], Step[526/526], Loss: 0.7303
Epoch [89/100], Step[1/526], Loss: 0.6564
Epoch [89/100], Step[2/526], Loss: 0.6449
Epoch [89/100], Step[3/526], Loss: 0.6618
Epoch [89/100], Step[4/526], Loss: 0.6241
Epoch [89/100], Step[5/526], Loss: 0.7384
Epoch [89/100], Step[6/526], Loss: 0.7552
Epoch [89/100], Step[7/526], Loss: 0.6837
Epoch [89/100], Step[8/526], Loss: 0.6746
Epoch [89/100], Step[9/526], Loss: 0.6942
Epoch [89/100], Step[10/526], Loss: 0.6395
Epoch [89/100], Step[11/526], Loss: 0.7177
Epoch [89/100], Step[12/526], Loss: 0.7528
Epoch [89/100], Step[13/526], Loss: 0.6006
Epoch [89/100], Step[14/526], Loss: 0.6598
Epoch [89/100], Step[15/526], Loss: 0.6743
Epoch [89/100], Step[16/526], Loss: 0.7082
Epoch [89/100], Step[17/526], Loss: 0.7009
Epoch [89/100], Step[18/526], Loss: 0.6595
Epoch [89/100], Step[19/526], Loss: 0.7047
Epoch [89/100], Step[20/526], Loss: 0.7678
Epoch [89/100], Step[21/526], Loss: 0.7739
Epoch [89/100], Step[22/526], Loss: 0.7556
Epoch [89/100], Step[23/526], Loss: 0.7304
Epoch [89/100], Step[24/526], Loss: 0.7408
Epoch [89/100], Step[25/526], Loss: 0.6977
Epoch [89/100], Step[26/526], Loss: 0.6257
Epoch [89/100], Step[27/526], Loss: 0.6751
Epoch [89/100], Step[28/526], Loss: 0.7141
Epoch [89/100], Step[29/526], Loss: 0.6446
Epoch [89/100], Step[30/526], Loss: 0.6944
Epoch [89/100], Step[31/526], Loss: 0.7077
Epoch [89/100], Step[32/526], Loss: 0.6768
Epoch [89/100], Step[33/526], Loss: 0.7155
Epoch [89/100], Step[34/526], Loss: 0.7044
Epoch [89/100], Step[35/526], Loss: 0.7317
Epoch [89/100], Step[36/526], Loss: 0.7061
Epoch [89/100], Step[37/526], Loss: 0.6880
Epoch [89/100], Step[38/526], Loss: 0.7198
Epoch [89/100], Step[39/526], Loss: 0.6803
Epoch [89/100], Step[40/526], Loss: 0.6993
Epoch [89/100], Step[41/526], Loss: 0.6675
Epoch [89/100], Step[42/526], Loss: 0.7267
Epoch [89/100], Step[43/526], Loss: 0.7113
Epoch [89/100], Step[44/526], Loss: 0.6999
Epoch [89/100], Step[45/526], Loss: 0.7006
Epoch [89/100], Step[46/526], Loss: 0.6705
Epoch [89/100], Step[47/526], Loss: 0.6888
Epoch [89/100], Step[48/526], Loss: 0.7122
Epoch [89/100], Step[49/526], Loss: 0.7022
Epoch [89/100], Step[50/526], Loss: 0.6968
Epoch [89/100], Step[51/526], Loss: 0.7049
Epoch [89/100], Step[52/526], Loss: 0.6798
Epoch [89/100], Step[53/526], Loss: 0.7164
Epoch [89/100], Step[54/526], Loss: 0.6963
Epoch [89/100], Step[55/526], Loss: 0.7029
Epoch [89/100], Step[56/526], Loss: 0.6712
Epoch [89/100], Step[57/526], Loss: 0.6870
Epoch [89/100], Step[58/526], Loss: 0.6682
Epoch [89/100], Step[59/526], Loss: 0.6585
Epoch [89/100], Step[60/526], Loss: 0.6590
Epoch [89/100], Step[61/526], Loss: 0.6608
Epoch [89/100], Step[62/526], Loss: 0.7065
Epoch [89/100], Step[63/526], Loss: 0.6837
Epoch [89/100], Step[64/526], Loss: 0.6707
Epoch [89/100], Step[65/526], Loss: 0.7207
Epoch [89/100], Step[66/526], Loss: 0.6810
Epoch [89/100], Step[67/526], Loss: 0.6387
Epoch [89/100], Step[68/526], Loss: 0.6566
Epoch [89/100], Step[69/526], Loss: 0.6850
Epoch [89/100], Step[70/526], Loss: 0.6749
Epoch [89/100], Step[71/526], Loss: 0.6626
Epoch [89/100], Step[72/526], Loss: 0.6875
Epoch [89/100], Step[73/526], Loss: 0.7161
Epoch [89/100], Step[74/526], Loss: 0.6620
Epoch [89/100], Step[75/526], Loss: 0.7051
Epoch [89/100], Step[76/526], Loss: 0.6968
Epoch [89/100], Step[77/526], Loss: 0.7051
Epoch [89/100], Step[78/526], Loss: 0.7007
Epoch [89/100], Step[79/526], Loss: 0.6915
Epoch [89/100], Step[80/526], Loss: 0.7015
Epoch [89/100], Step[81/526], Loss: 0.6992
Epoch [89/100], Step[82/526], Loss: 0.7306
Epoch [89/100], Step[83/526], Loss: 0.7001
Epoch [89/100], Step[84/526], Loss: 0.6879
Epoch [89/100], Step[85/526], Loss: 0.6594
Epoch [89/100], Step[86/526], Loss: 0.6828
Epoch [89/100], Step[87/526], Loss: 0.6853
Epoch [89/100], Step[88/526], Loss: 0.6963
Epoch [89/100], Step[89/526], Loss: 0.7300
Epoch [89/100], Step[90/526], Loss: 0.6756
Epoch [89/100], Step[91/526], Loss: 0.6935
Epoch [89/100], Step[92/526], Loss: 0.6773
Epoch [89/100], Step[93/526], Loss: 0.6998
Epoch [89/100], Step[94/526], Loss: 0.7957
Epoch [89/100], Step[95/526], Loss: 0.7203
Epoch [89/100], Step[96/526], Loss: 0.6217
Epoch [89/100], Step[97/526], Loss: 0.5802
Epoch [89/100], Step[98/526], Loss: 0.6779
Epoch [89/100], Step[99/526], Loss: 0.6862
Epoch [89/100], Step[100/526], Loss: 0.6319
Epoch [89/100], Step[101/526], Loss: 0.6665
Epoch [89/100], Step[102/526], Loss: 0.6306
Epoch [89/100], Step[103/526], Loss: 0.7409
Epoch [89/100], Step[104/526], Loss: 0.6615
Epoch [89/100], Step[105/526], Loss: 0.6104
Epoch [89/100], Step[106/526], Loss: 0.6856
Epoch [89/100], Step[107/526], Loss: 0.6072
Epoch [89/100], Step[108/526], Loss: 0.5888
Epoch [89/100], Step[109/526], Loss: 0.6508
Epoch [89/100], Step[110/526], Loss: 0.6793
Epoch [89/100], Step[111/526], Loss: 0.6053
Epoch [89/100], Step[112/526], Loss: 0.7220
Epoch [89/100], Step[113/526], Loss: 0.6054
Epoch [89/100], Step[114/526], Loss: 0.6461
Epoch [89/100], Step[115/526], Loss: 0.5914
Epoch [89/100], Step[116/526], Loss: 0.6354
Epoch [89/100], Step[117/526], Loss: 0.7009
Epoch [89/100], Step[118/526], Loss: 0.7680
Epoch [89/100], Step[119/526], Loss: 0.6810
Epoch [89/100], Step[120/526], Loss: 0.6729
Epoch [89/100], Step[121/526], Loss: 0.6936
Epoch [89/100], Step[122/526], Loss: 0.6052
Epoch [89/100], Step[123/526], Loss: 0.6499
Epoch [89/100], Step[124/526], Loss: 0.6674
Epoch [89/100], Step[125/526], Loss: 0.6341
Epoch [89/100], Step[126/526], Loss: 0.7176
Epoch [89/100], Step[127/526], Loss: 0.6681
Epoch [89/100], Step[128/526], Loss: 0.6252
Epoch [89/100], Step[129/526], Loss: 0.6098
Epoch [89/100], Step[130/526], Loss: 0.6478
Epoch [89/100], Step[131/526], Loss: 0.6744
Epoch [89/100], Step[132/526], Loss: 0.7055
Epoch [89/100], Step[133/526], Loss: 0.6571
Epoch [89/100], Step[134/526], Loss: 0.6279
Epoch [89/100], Step[135/526], Loss: 0.6397
Epoch [89/100], Step[136/526], Loss: 0.5609
Epoch [89/100], Step[137/526], Loss: 0.6494
Epoch [89/100], Step[138/526], Loss: 0.6511
Epoch [89/100], Step[139/526], Loss: 0.6932
Epoch [89/100], Step[140/526], Loss: 0.5803
Epoch [89/100], Step[141/526], Loss: 0.6573
Epoch [89/100], Step[142/526], Loss: 0.6764
Epoch [89/100], Step[143/526], Loss: 0.6984
Epoch [89/100], Step[144/526], Loss: 0.8107
Epoch [89/100], Step[145/526], Loss: 0.6116
Epoch [89/100], Step[146/526], Loss: 0.4911
Epoch [89/100], Step[147/526], Loss: 0.4958
Epoch [89/100], Step[148/526], Loss: 0.5941
Epoch [89/100], Step[149/526], Loss: 0.4944
Epoch [89/100], Step[150/526], Loss: 0.5479
Epoch [89/100], Step[151/526], Loss: 0.5438
Epoch [89/100], Step[152/526], Loss: 0.6310
Epoch [89/100], Step[153/526], Loss: 0.6482
Epoch [89/100], Step[154/526], Loss: 0.7010
Epoch [89/100], Step[155/526], Loss: 0.6928
Epoch [89/100], Step[156/526], Loss: 0.5430
Epoch [89/100], Step[157/526], Loss: 0.2835
Epoch [89/100], Step[158/526], Loss: 0.5993
Epoch [89/100], Step[159/526], Loss: 0.6562
Epoch [89/100], Step[160/526], Loss: 0.5569
Epoch [89/100], Step[161/526], Loss: 0.7933
Epoch [89/100], Step[162/526], Loss: 0.7134
Epoch [89/100], Step[163/526], Loss: 0.7218
Epoch [89/100], Step[164/526], Loss: 0.6232
Epoch [89/100], Step[165/526], Loss: 0.7207
Epoch [89/100], Step[166/526], Loss: 0.5310
Epoch [89/100], Step[167/526], Loss: 0.5692
Epoch [89/100], Step[168/526], Loss: 0.6889
Epoch [89/100], Step[169/526], Loss: 0.7411
Epoch [89/100], Step[170/526], Loss: 0.7058
Epoch [89/100], Step[171/526], Loss: 0.7386
Epoch [89/100], Step[172/526], Loss: 0.7128
Epoch [89/100], Step[173/526], Loss: 0.8181
Epoch [89/100], Step[174/526], Loss: 0.6295
Epoch [89/100], Step[175/526], Loss: 0.6780
Epoch [89/100], Step[176/526], Loss: 0.6123
Epoch [89/100], Step[177/526], Loss: 0.6714
Epoch [89/100], Step[178/526], Loss: 0.6890
Epoch [89/100], Step[179/526], Loss: 0.6188
Epoch [89/100], Step[180/526], Loss: 0.6765
Epoch [89/100], Step[181/526], Loss: 0.6529
Epoch [89/100], Step[182/526], Loss: 0.6624
Epoch [89/100], Step[183/526], Loss: 0.5492
Epoch [89/100], Step[184/526], Loss: 0.6133
Epoch [89/100], Step[185/526], Loss: 0.6136
Epoch [89/100], Step[186/526], Loss: 0.6415
Epoch [89/100], Step[187/526], Loss: 0.7590
Epoch [89/100], Step[188/526], Loss: 0.6998
Epoch [89/100], Step[189/526], Loss: 0.6613
Epoch [89/100], Step[190/526], Loss: 0.6894
Epoch [89/100], Step[191/526], Loss: 0.6845
Epoch [89/100], Step[192/526], Loss: 0.8007
Epoch [89/100], Step[193/526], Loss: 0.6436
Epoch [89/100], Step[194/526], Loss: 0.5932
Epoch [89/100], Step[195/526], Loss: 0.6549
Epoch [89/100], Step[196/526], Loss: 0.7281
Epoch [89/100], Step[197/526], Loss: 0.6578
Epoch [89/100], Step[198/526], Loss: 0.6165
Epoch [89/100], Step[199/526], Loss: 0.7428
Epoch [89/100], Step[200/526], Loss: 0.6787
Epoch [89/100], Step[201/526], Loss: 0.6756
Epoch [89/100], Step[202/526], Loss: 0.7525
Epoch [89/100], Step[203/526], Loss: 0.7030
Epoch [89/100], Step[204/526], Loss: 0.7107
Epoch [89/100], Step[205/526], Loss: 0.6857
Epoch [89/100], Step[206/526], Loss: 0.6845
Epoch [89/100], Step[207/526], Loss: 0.7040
Epoch [89/100], Step[208/526], Loss: 0.6842
Epoch [89/100], Step[209/526], Loss: 0.6795
Epoch [89/100], Step[210/526], Loss: 0.7467
Epoch [89/100], Step[211/526], Loss: 0.6273
Epoch [89/100], Step[212/526], Loss: 0.6853
Epoch [89/100], Step[213/526], Loss: 0.7154
Epoch [89/100], Step[214/526], Loss: 0.7035
Epoch [89/100], Step[215/526], Loss: 0.6890
Epoch [89/100], Step[216/526], Loss: 0.6716
Epoch [89/100], Step[217/526], Loss: 0.6422
Epoch [89/100], Step[218/526], Loss: 0.6925
Epoch [89/100], Step[219/526], Loss: 0.6892
Epoch [89/100], Step[220/526], Loss: 0.7105
Epoch [89/100], Step[221/526], Loss: 0.6887
Epoch [89/100], Step[222/526], Loss: 0.7165
Epoch [89/100], Step[223/526], Loss: 0.6048
Epoch [89/100], Step[224/526], Loss: 0.6546
Epoch [89/100], Step[225/526], Loss: 0.6746
Epoch [89/100], Step[226/526], Loss: 0.6540
Epoch [89/100], Step[227/526], Loss: 0.6452
Epoch [89/100], Step[228/526], Loss: 0.6793
Epoch [89/100], Step[229/526], Loss: 0.6886
Epoch [89/100], Step[230/526], Loss: 0.6267
Epoch [89/100], Step[231/526], Loss: 0.6299
Epoch [89/100], Step[232/526], Loss: 0.6421
Epoch [89/100], Step[233/526], Loss: 0.6770
Epoch [89/100], Step[234/526], Loss: 0.6075
Epoch [89/100], Step[235/526], Loss: 0.6470
Epoch [89/100], Step[236/526], Loss: 0.6850
Epoch [89/100], Step[237/526], Loss: 0.7439
Epoch [89/100], Step[238/526], Loss: 0.5763
Epoch [89/100], Step[239/526], Loss: 0.6386
Epoch [89/100], Step[240/526], Loss: 0.6299
Epoch [89/100], Step[241/526], Loss: 0.5912
Epoch [89/100], Step[242/526], Loss: 0.5686
Epoch [89/100], Step[243/526], Loss: 0.6144
Epoch [89/100], Step[244/526], Loss: 0.5481
Epoch [89/100], Step[245/526], Loss: 0.5896
Epoch [89/100], Step[246/526], Loss: 0.6441
Epoch [89/100], Step[247/526], Loss: 0.5021
Epoch [89/100], Step[248/526], Loss: 0.5513
Epoch [89/100], Step[249/526], Loss: 0.7788
Epoch [89/100], Step[250/526], Loss: 0.7766
Epoch [89/100], Step[251/526], Loss: 0.6700
Epoch [89/100], Step[252/526], Loss: 0.6823
Epoch [89/100], Step[253/526], Loss: 0.6257
Epoch [89/100], Step[254/526], Loss: 0.6815
Epoch [89/100], Step[255/526], Loss: 0.6078
Epoch [89/100], Step[256/526], Loss: 0.6666
Epoch [89/100], Step[257/526], Loss: 0.6017
Epoch [89/100], Step[258/526], Loss: 0.6210
Epoch [89/100], Step[259/526], Loss: 0.7087
Epoch [89/100], Step[260/526], Loss: 0.6977
Epoch [89/100], Step[261/526], Loss: 0.7388
Epoch [89/100], Step[262/526], Loss: 0.5604
Epoch [89/100], Step[263/526], Loss: 0.6377
Epoch [89/100], Step[264/526], Loss: 0.5834
Epoch [89/100], Step[265/526], Loss: 0.3467
Epoch [89/100], Step[266/526], Loss: 0.3467
Epoch [89/100], Step[267/526], Loss: 0.4567
Epoch [89/100], Step[268/526], Loss: 0.5753
Epoch [89/100], Step[269/526], Loss: 0.4715
Epoch [89/100], Step[270/526], Loss: 0.4171
Epoch [89/100], Step[271/526], Loss: 0.5602
Epoch [89/100], Step[272/526], Loss: 0.5549
Epoch [89/100], Step[273/526], Loss: 0.6534
Epoch [89/100], Step[274/526], Loss: 0.4496
Epoch [89/100], Step[275/526], Loss: 0.4035
Epoch [89/100], Step[276/526], Loss: 0.4915
Epoch [89/100], Step[277/526], Loss: 0.3682
Epoch [89/100], Step[278/526], Loss: 0.4761
Epoch [89/100], Step[279/526], Loss: 0.4558
Epoch [89/100], Step[280/526], Loss: 0.5068
Epoch [89/100], Step[281/526], Loss: 0.7091
Epoch [89/100], Step[282/526], Loss: 0.4284
Epoch [89/100], Step[283/526], Loss: 0.3774
Epoch [89/100], Step[284/526], Loss: 0.4520
Epoch [89/100], Step[285/526], Loss: 0.2995
Epoch [89/100], Step[286/526], Loss: 0.7361
Epoch [89/100], Step[287/526], Loss: 0.5111
Epoch [89/100], Step[288/526], Loss: 0.4056
Epoch [89/100], Step[289/526], Loss: 0.6061
Epoch [89/100], Step[290/526], Loss: 0.4511
Epoch [89/100], Step[291/526], Loss: 0.4530
Epoch [89/100], Step[292/526], Loss: 0.2904
Epoch [89/100], Step[293/526], Loss: 0.3131
Epoch [89/100], Step[294/526], Loss: 0.3468
Epoch [89/100], Step[295/526], Loss: 0.4420
Epoch [89/100], Step[296/526], Loss: 0.6053
Epoch [89/100], Step[297/526], Loss: 0.3502
Epoch [89/100], Step[298/526], Loss: 0.2981
Epoch [89/100], Step[299/526], Loss: 0.2575
Epoch [89/100], Step[300/526], Loss: 0.2772
Epoch [89/100], Step[301/526], Loss: 0.6368
Epoch [89/100], Step[302/526], Loss: 0.3768
Epoch [89/100], Step[303/526], Loss: 0.4392
Epoch [89/100], Step[304/526], Loss: 0.2707
Epoch [89/100], Step[305/526], Loss: 0.2797
Epoch [89/100], Step[306/526], Loss: 0.5722
Epoch [89/100], Step[307/526], Loss: 0.9037
Epoch [89/100], Step[308/526], Loss: 1.3302
Epoch [89/100], Step[309/526], Loss: 0.9899
Epoch [89/100], Step[310/526], Loss: 0.9135
Epoch [89/100], Step[311/526], Loss: 0.8103
Epoch [89/100], Step[312/526], Loss: 0.4797
Epoch [89/100], Step[313/526], Loss: 0.4487
Epoch [89/100], Step[314/526], Loss: 0.6114
Epoch [89/100], Step[315/526], Loss: 0.7627
Epoch [89/100], Step[316/526], Loss: 0.4947
Epoch [89/100], Step[317/526], Loss: 0.3295
Epoch [89/100], Step[318/526], Loss: 0.7847
Epoch [89/100], Step[319/526], Loss: 0.3610
Epoch [89/100], Step[320/526], Loss: 0.6548
Epoch [89/100], Step[321/526], Loss: 0.7432
Epoch [89/100], Step[322/526], Loss: 0.2848
Epoch [89/100], Step[323/526], Loss: 0.6128
Epoch [89/100], Step[324/526], Loss: 0.6735
Epoch [89/100], Step[325/526], Loss: 0.5834
Epoch [89/100], Step[326/526], Loss: 0.7517
Epoch [89/100], Step[327/526], Loss: 0.7332
Epoch [89/100], Step[328/526], Loss: 0.9327
Epoch [89/100], Step[329/526], Loss: 1.3010
Epoch [89/100], Step[330/526], Loss: 1.0416
Epoch [89/100], Step[331/526], Loss: 0.7803
Epoch [89/100], Step[332/526], Loss: 0.8563
Epoch [89/100], Step[333/526], Loss: 0.7342
Epoch [89/100], Step[334/526], Loss: 0.7562
Epoch [89/100], Step[335/526], Loss: 0.7565
Epoch [89/100], Step[336/526], Loss: 0.6485
Epoch [89/100], Step[337/526], Loss: 0.5824
Epoch [89/100], Step[338/526], Loss: 0.7128
Epoch [89/100], Step[339/526], Loss: 0.6566
Epoch [89/100], Step[340/526], Loss: 0.7251
Epoch [89/100], Step[341/526], Loss: 0.7554
Epoch [89/100], Step[342/526], Loss: 0.7633
Epoch [89/100], Step[343/526], Loss: 0.5369
Epoch [89/100], Step[344/526], Loss: 0.7033
Epoch [89/100], Step[345/526], Loss: 0.6846
Epoch [89/100], Step[346/526], Loss: 0.6779
Epoch [89/100], Step[347/526], Loss: 0.7174
Epoch [89/100], Step[348/526], Loss: 0.6363
Epoch [89/100], Step[349/526], Loss: 0.5676
Epoch [89/100], Step[350/526], Loss: 0.6420
Epoch [89/100], Step[351/526], Loss: 0.6956
Epoch [89/100], Step[352/526], Loss: 0.6316
Epoch [89/100], Step[353/526], Loss: 0.6694
Epoch [89/100], Step[354/526], Loss: 0.6799
Epoch [89/100], Step[355/526], Loss: 0.6733
Epoch [89/100], Step[356/526], Loss: 0.6935
Epoch [89/100], Step[357/526], Loss: 0.6395
Epoch [89/100], Step[358/526], Loss: 0.7133
Epoch [89/100], Step[359/526], Loss: 0.6370
Epoch [89/100], Step[360/526], Loss: 0.6743
Epoch [89/100], Step[361/526], Loss: 0.7098
Epoch [89/100], Step[362/526], Loss: 0.6933
Epoch [89/100], Step[363/526], Loss: 0.7006
Epoch [89/100], Step[364/526], Loss: 0.7266
Epoch [89/100], Step[365/526], Loss: 0.7383
Epoch [89/100], Step[366/526], Loss: 0.6824
Epoch [89/100], Step[367/526], Loss: 0.6783
Epoch [89/100], Step[368/526], Loss: 0.6583
Epoch [89/100], Step[369/526], Loss: 0.6390
Epoch [89/100], Step[370/526], Loss: 0.5518
Epoch [89/100], Step[371/526], Loss: 0.7269
Epoch [89/100], Step[372/526], Loss: 0.6421
Epoch [89/100], Step[373/526], Loss: 0.6725
Epoch [89/100], Step[374/526], Loss: 0.6947
Epoch [89/100], Step[375/526], Loss: 0.6309
Epoch [89/100], Step[376/526], Loss: 0.6205
Epoch [89/100], Step[377/526], Loss: 0.6816
Epoch [89/100], Step[378/526], Loss: 0.6748
Epoch [89/100], Step[379/526], Loss: 0.7883
Epoch [89/100], Step[380/526], Loss: 0.5983
Epoch [89/100], Step[381/526], Loss: 0.5820
Epoch [89/100], Step[382/526], Loss: 0.6645
Epoch [89/100], Step[383/526], Loss: 0.6883
Epoch [89/100], Step[384/526], Loss: 0.6348
Epoch [89/100], Step[385/526], Loss: 0.6310
Epoch [89/100], Step[386/526], Loss: 0.6243
Epoch [89/100], Step[387/526], Loss: 0.6565
Epoch [89/100], Step[388/526], Loss: 0.5778
Epoch [89/100], Step[389/526], Loss: 0.7366
Epoch [89/100], Step[390/526], Loss: 0.5621
Epoch [89/100], Step[391/526], Loss: 0.6242
Epoch [89/100], Step[392/526], Loss: 0.7282
Epoch [89/100], Step[393/526], Loss: 0.5806
Epoch [89/100], Step[394/526], Loss: 0.5031
Epoch [89/100], Step[395/526], Loss: 0.5929
Epoch [89/100], Step[396/526], Loss: 0.6284
Epoch [89/100], Step[397/526], Loss: 0.4743
Epoch [89/100], Step[398/526], Loss: 0.6103
Epoch [89/100], Step[399/526], Loss: 0.6653
Epoch [89/100], Step[400/526], Loss: 0.4652
Epoch [89/100], Step[401/526], Loss: 0.6040
Epoch [89/100], Step[402/526], Loss: 0.6334
Epoch [89/100], Step[403/526], Loss: 0.7291
Epoch [89/100], Step[404/526], Loss: 0.4713
Epoch [89/100], Step[405/526], Loss: 0.4873
Epoch [89/100], Step[406/526], Loss: 0.6393
Epoch [89/100], Step[407/526], Loss: 0.7620
Epoch [89/100], Step[408/526], Loss: 0.6586
Epoch [89/100], Step[409/526], Loss: 0.4792
Epoch [89/100], Step[410/526], Loss: 0.5027
Epoch [89/100], Step[411/526], Loss: 0.5305
Epoch [89/100], Step[412/526], Loss: 0.5977
Epoch [89/100], Step[413/526], Loss: 0.6047
Epoch [89/100], Step[414/526], Loss: 0.6482
Epoch [89/100], Step[415/526], Loss: 0.6041
Epoch [89/100], Step[416/526], Loss: 0.5898
Epoch [89/100], Step[417/526], Loss: 0.4693
Epoch [89/100], Step[418/526], Loss: 0.7805
Epoch [89/100], Step[419/526], Loss: 0.6704
Epoch [89/100], Step[420/526], Loss: 0.6792
Epoch [89/100], Step[421/526], Loss: 0.6591
Epoch [89/100], Step[422/526], Loss: 0.7562
Epoch [89/100], Step[423/526], Loss: 0.7021
Epoch [89/100], Step[424/526], Loss: 0.7541
Epoch [89/100], Step[425/526], Loss: 0.7130
Epoch [89/100], Step[426/526], Loss: 0.7452
Epoch [89/100], Step[427/526], Loss: 0.7075
Epoch [89/100], Step[428/526], Loss: 0.7111
Epoch [89/100], Step[429/526], Loss: 0.7459
Epoch [89/100], Step[430/526], Loss: 0.7826
Epoch [89/100], Step[431/526], Loss: 0.7064
Epoch [89/100], Step[432/526], Loss: 0.7178
Epoch [89/100], Step[433/526], Loss: 0.6690
Epoch [89/100], Step[434/526], Loss: 0.6102
Epoch [89/100], Step[435/526], Loss: 0.7732
Epoch [89/100], Step[436/526], Loss: 0.8096
Epoch [89/100], Step[437/526], Loss: 0.4832
Epoch [89/100], Step[438/526], Loss: 0.3721
Epoch [89/100], Step[439/526], Loss: 0.7180
Epoch [89/100], Step[440/526], Loss: 0.6847
Epoch [89/100], Step[441/526], Loss: 0.7012
Epoch [89/100], Step[442/526], Loss: 0.6533
Epoch [89/100], Step[443/526], Loss: 0.6658
Epoch [89/100], Step[444/526], Loss: 0.7570
Epoch [89/100], Step[445/526], Loss: 0.7168
Epoch [89/100], Step[446/526], Loss: 0.6942
Epoch [89/100], Step[447/526], Loss: 0.7312
Epoch [89/100], Step[448/526], Loss: 0.7275
Epoch [89/100], Step[449/526], Loss: 0.6681
Epoch [89/100], Step[450/526], Loss: 0.5972
Epoch [89/100], Step[451/526], Loss: 0.6788
Epoch [89/100], Step[452/526], Loss: 0.7329
Epoch [89/100], Step[453/526], Loss: 0.7017
Epoch [89/100], Step[454/526], Loss: 0.8438
Epoch [89/100], Step[455/526], Loss: 0.6451
Epoch [89/100], Step[456/526], Loss: 0.6174
Epoch [89/100], Step[457/526], Loss: 0.6961
Epoch [89/100], Step[458/526], Loss: 0.6793
Epoch [89/100], Step[459/526], Loss: 0.6389
Epoch [89/100], Step[460/526], Loss: 0.6169
Epoch [89/100], Step[461/526], Loss: 0.5852
Epoch [89/100], Step[462/526], Loss: 0.6472
Epoch [89/100], Step[463/526], Loss: 0.6357
Epoch [89/100], Step[464/526], Loss: 0.6120
Epoch [89/100], Step[465/526], Loss: 0.6431
Epoch [89/100], Step[466/526], Loss: 0.6655
Epoch [89/100], Step[467/526], Loss: 0.6316
Epoch [89/100], Step[468/526], Loss: 0.5849
Epoch [89/100], Step[469/526], Loss: 0.8486
Epoch [89/100], Step[470/526], Loss: 0.6599
Epoch [89/100], Step[471/526], Loss: 0.6979
Epoch [89/100], Step[472/526], Loss: 0.6776
Epoch [89/100], Step[473/526], Loss: 0.6776
Epoch [89/100], Step[474/526], Loss: 0.6705
Epoch [89/100], Step[475/526], Loss: 0.8617
Epoch [89/100], Step[476/526], Loss: 0.7517
Epoch [89/100], Step[477/526], Loss: 0.6848
Epoch [89/100], Step[478/526], Loss: 0.6928
Epoch [89/100], Step[479/526], Loss: 0.6604
Epoch [89/100], Step[480/526], Loss: 0.7283
Epoch [89/100], Step[481/526], Loss: 0.7423
Epoch [89/100], Step[482/526], Loss: 0.6544
Epoch [89/100], Step[483/526], Loss: 0.5315
Epoch [89/100], Step[484/526], Loss: 0.7370
Epoch [89/100], Step[485/526], Loss: 0.7810
Epoch [89/100], Step[486/526], Loss: 0.7447
Epoch [89/100], Step[487/526], Loss: 0.7716
Epoch [89/100], Step[488/526], Loss: 0.6609
Epoch [89/100], Step[489/526], Loss: 0.6153
Epoch [89/100], Step[490/526], Loss: 0.5906
Epoch [89/100], Step[491/526], Loss: 0.6812
Epoch [89/100], Step[492/526], Loss: 0.6425
Epoch [89/100], Step[493/526], Loss: 0.6300
Epoch [89/100], Step[494/526], Loss: 0.6835
Epoch [89/100], Step[495/526], Loss: 0.6916
Epoch [89/100], Step[496/526], Loss: 0.6515
Epoch [89/100], Step[497/526], Loss: 0.6301
Epoch [89/100], Step[498/526], Loss: 0.6780
Epoch [89/100], Step[499/526], Loss: 0.6616
Epoch [89/100], Step[500/526], Loss: 0.7028
Epoch [89/100], Step[501/526], Loss: 0.6686
Epoch [89/100], Step[502/526], Loss: 0.7006
Epoch [89/100], Step[503/526], Loss: 0.7114
Epoch [89/100], Step[504/526], Loss: 0.7084
Epoch [89/100], Step[505/526], Loss: 0.7278
Epoch [89/100], Step[506/526], Loss: 0.6565
Epoch [89/100], Step[507/526], Loss: 0.6773
Epoch [89/100], Step[508/526], Loss: 0.7014
Epoch [89/100], Step[509/526], Loss: 0.6355
Epoch [89/100], Step[510/526], Loss: 0.6999
Epoch [89/100], Step[511/526], Loss: 0.6307
Epoch [89/100], Step[512/526], Loss: 0.6602
Epoch [89/100], Step[513/526], Loss: 0.6315
Epoch [89/100], Step[514/526], Loss: 0.6531
Epoch [89/100], Step[515/526], Loss: 0.5548
Epoch [89/100], Step[516/526], Loss: 0.7566
Epoch [89/100], Step[517/526], Loss: 0.6894
Epoch [89/100], Step[518/526], Loss: 0.7424
Epoch [89/100], Step[519/526], Loss: 0.7244
Epoch [89/100], Step[520/526], Loss: 0.6840
Epoch [89/100], Step[521/526], Loss: 0.6789
Epoch [89/100], Step[522/526], Loss: 0.5824
Epoch [89/100], Step[523/526], Loss: 0.6438
Epoch [89/100], Step[524/526], Loss: 0.6170
Epoch [89/100], Step[525/526], Loss: 0.7606
Epoch [89/100], Step[526/526], Loss: 0.7224
Epoch [90/100], Step[1/526], Loss: 0.6564
Epoch [90/100], Step[2/526], Loss: 0.6443
Epoch [90/100], Step[3/526], Loss: 0.6721
Epoch [90/100], Step[4/526], Loss: 0.6305
Epoch [90/100], Step[5/526], Loss: 0.7398
Epoch [90/100], Step[6/526], Loss: 0.7515
Epoch [90/100], Step[7/526], Loss: 0.6860
Epoch [90/100], Step[8/526], Loss: 0.6752
Epoch [90/100], Step[9/526], Loss: 0.6961
Epoch [90/100], Step[10/526], Loss: 0.6485
Epoch [90/100], Step[11/526], Loss: 0.6923
Epoch [90/100], Step[12/526], Loss: 0.7442
Epoch [90/100], Step[13/526], Loss: 0.6078
Epoch [90/100], Step[14/526], Loss: 0.6670
Epoch [90/100], Step[15/526], Loss: 0.6740
Epoch [90/100], Step[16/526], Loss: 0.7123
Epoch [90/100], Step[17/526], Loss: 0.7187
Epoch [90/100], Step[18/526], Loss: 0.6624
Epoch [90/100], Step[19/526], Loss: 0.7117
Epoch [90/100], Step[20/526], Loss: 0.7456
Epoch [90/100], Step[21/526], Loss: 0.7697
Epoch [90/100], Step[22/526], Loss: 0.7474
Epoch [90/100], Step[23/526], Loss: 0.7314
Epoch [90/100], Step[24/526], Loss: 0.7271
Epoch [90/100], Step[25/526], Loss: 0.6956
Epoch [90/100], Step[26/526], Loss: 0.6243
Epoch [90/100], Step[27/526], Loss: 0.6802
Epoch [90/100], Step[28/526], Loss: 0.6954
Epoch [90/100], Step[29/526], Loss: 0.6419
Epoch [90/100], Step[30/526], Loss: 0.6991
Epoch [90/100], Step[31/526], Loss: 0.7081
Epoch [90/100], Step[32/526], Loss: 0.6760
Epoch [90/100], Step[33/526], Loss: 0.7122
Epoch [90/100], Step[34/526], Loss: 0.7037
Epoch [90/100], Step[35/526], Loss: 0.7314
Epoch [90/100], Step[36/526], Loss: 0.7034
Epoch [90/100], Step[37/526], Loss: 0.6909
Epoch [90/100], Step[38/526], Loss: 0.7202
Epoch [90/100], Step[39/526], Loss: 0.6820
Epoch [90/100], Step[40/526], Loss: 0.7048
Epoch [90/100], Step[41/526], Loss: 0.6633
Epoch [90/100], Step[42/526], Loss: 0.7270
Epoch [90/100], Step[43/526], Loss: 0.7137
Epoch [90/100], Step[44/526], Loss: 0.6953
Epoch [90/100], Step[45/526], Loss: 0.6981
Epoch [90/100], Step[46/526], Loss: 0.6792
Epoch [90/100], Step[47/526], Loss: 0.6914
Epoch [90/100], Step[48/526], Loss: 0.7199
Epoch [90/100], Step[49/526], Loss: 0.7036
Epoch [90/100], Step[50/526], Loss: 0.6998
Epoch [90/100], Step[51/526], Loss: 0.7015
Epoch [90/100], Step[52/526], Loss: 0.6787
Epoch [90/100], Step[53/526], Loss: 0.7173
Epoch [90/100], Step[54/526], Loss: 0.6985
Epoch [90/100], Step[55/526], Loss: 0.6977
Epoch [90/100], Step[56/526], Loss: 0.6782
Epoch [90/100], Step[57/526], Loss: 0.6857
Epoch [90/100], Step[58/526], Loss: 0.6687
Epoch [90/100], Step[59/526], Loss: 0.6603
Epoch [90/100], Step[60/526], Loss: 0.6581
Epoch [90/100], Step[61/526], Loss: 0.6565
Epoch [90/100], Step[62/526], Loss: 0.7067
Epoch [90/100], Step[63/526], Loss: 0.6817
Epoch [90/100], Step[64/526], Loss: 0.6756
Epoch [90/100], Step[65/526], Loss: 0.7223
Epoch [90/100], Step[66/526], Loss: 0.6811
Epoch [90/100], Step[67/526], Loss: 0.6365
Epoch [90/100], Step[68/526], Loss: 0.6566
Epoch [90/100], Step[69/526], Loss: 0.6860
Epoch [90/100], Step[70/526], Loss: 0.6748
Epoch [90/100], Step[71/526], Loss: 0.6605
Epoch [90/100], Step[72/526], Loss: 0.6878
Epoch [90/100], Step[73/526], Loss: 0.7158
Epoch [90/100], Step[74/526], Loss: 0.6588
Epoch [90/100], Step[75/526], Loss: 0.7053
Epoch [90/100], Step[76/526], Loss: 0.6964
Epoch [90/100], Step[77/526], Loss: 0.7038
Epoch [90/100], Step[78/526], Loss: 0.7018
Epoch [90/100], Step[79/526], Loss: 0.6994
Epoch [90/100], Step[80/526], Loss: 0.7036
Epoch [90/100], Step[81/526], Loss: 0.7027
Epoch [90/100], Step[82/526], Loss: 0.7269
Epoch [90/100], Step[83/526], Loss: 0.7025
Epoch [90/100], Step[84/526], Loss: 0.6869
Epoch [90/100], Step[85/526], Loss: 0.6627
Epoch [90/100], Step[86/526], Loss: 0.6794
Epoch [90/100], Step[87/526], Loss: 0.6860
Epoch [90/100], Step[88/526], Loss: 0.6923
Epoch [90/100], Step[89/526], Loss: 0.7302
Epoch [90/100], Step[90/526], Loss: 0.6698
Epoch [90/100], Step[91/526], Loss: 0.6893
Epoch [90/100], Step[92/526], Loss: 0.6746
Epoch [90/100], Step[93/526], Loss: 0.6969
Epoch [90/100], Step[94/526], Loss: 0.8072
Epoch [90/100], Step[95/526], Loss: 0.7226
Epoch [90/100], Step[96/526], Loss: 0.6207
Epoch [90/100], Step[97/526], Loss: 0.5778
Epoch [90/100], Step[98/526], Loss: 0.6830
Epoch [90/100], Step[99/526], Loss: 0.6861
Epoch [90/100], Step[100/526], Loss: 0.6410
Epoch [90/100], Step[101/526], Loss: 0.6645
Epoch [90/100], Step[102/526], Loss: 0.6238
Epoch [90/100], Step[103/526], Loss: 0.7285
Epoch [90/100], Step[104/526], Loss: 0.6523
Epoch [90/100], Step[105/526], Loss: 0.6082
Epoch [90/100], Step[106/526], Loss: 0.6847
Epoch [90/100], Step[107/526], Loss: 0.6091
Epoch [90/100], Step[108/526], Loss: 0.5873
Epoch [90/100], Step[109/526], Loss: 0.6552
Epoch [90/100], Step[110/526], Loss: 0.6815
Epoch [90/100], Step[111/526], Loss: 0.6046
Epoch [90/100], Step[112/526], Loss: 0.7270
Epoch [90/100], Step[113/526], Loss: 0.6059
Epoch [90/100], Step[114/526], Loss: 0.6442
Epoch [90/100], Step[115/526], Loss: 0.5925
Epoch [90/100], Step[116/526], Loss: 0.6354
Epoch [90/100], Step[117/526], Loss: 0.6964
Epoch [90/100], Step[118/526], Loss: 0.7651
Epoch [90/100], Step[119/526], Loss: 0.6776
Epoch [90/100], Step[120/526], Loss: 0.6690
Epoch [90/100], Step[121/526], Loss: 0.6934
Epoch [90/100], Step[122/526], Loss: 0.6072
Epoch [90/100], Step[123/526], Loss: 0.6561
Epoch [90/100], Step[124/526], Loss: 0.6687
Epoch [90/100], Step[125/526], Loss: 0.6362
Epoch [90/100], Step[126/526], Loss: 0.7144
Epoch [90/100], Step[127/526], Loss: 0.6656
Epoch [90/100], Step[128/526], Loss: 0.6232
Epoch [90/100], Step[129/526], Loss: 0.6090
Epoch [90/100], Step[130/526], Loss: 0.6415
Epoch [90/100], Step[131/526], Loss: 0.6762
Epoch [90/100], Step[132/526], Loss: 0.7167
Epoch [90/100], Step[133/526], Loss: 0.6696
Epoch [90/100], Step[134/526], Loss: 0.6308
Epoch [90/100], Step[135/526], Loss: 0.6424
Epoch [90/100], Step[136/526], Loss: 0.5602
Epoch [90/100], Step[137/526], Loss: 0.6506
Epoch [90/100], Step[138/526], Loss: 0.6577
Epoch [90/100], Step[139/526], Loss: 0.6922
Epoch [90/100], Step[140/526], Loss: 0.5846
Epoch [90/100], Step[141/526], Loss: 0.6571
Epoch [90/100], Step[142/526], Loss: 0.6768
Epoch [90/100], Step[143/526], Loss: 0.6963
Epoch [90/100], Step[144/526], Loss: 0.7612
Epoch [90/100], Step[145/526], Loss: 0.5225
Epoch [90/100], Step[146/526], Loss: 0.5017
Epoch [90/100], Step[147/526], Loss: 0.4835
Epoch [90/100], Step[148/526], Loss: 0.5922
Epoch [90/100], Step[149/526], Loss: 0.5032
Epoch [90/100], Step[150/526], Loss: 0.5570
Epoch [90/100], Step[151/526], Loss: 0.5523
Epoch [90/100], Step[152/526], Loss: 0.6300
Epoch [90/100], Step[153/526], Loss: 0.6511
Epoch [90/100], Step[154/526], Loss: 0.6965
Epoch [90/100], Step[155/526], Loss: 0.7025
Epoch [90/100], Step[156/526], Loss: 0.5462
Epoch [90/100], Step[157/526], Loss: 0.2862
Epoch [90/100], Step[158/526], Loss: 0.5971
Epoch [90/100], Step[159/526], Loss: 0.6577
Epoch [90/100], Step[160/526], Loss: 0.5607
Epoch [90/100], Step[161/526], Loss: 0.7898
Epoch [90/100], Step[162/526], Loss: 0.7125
Epoch [90/100], Step[163/526], Loss: 0.7240
Epoch [90/100], Step[164/526], Loss: 0.6252
Epoch [90/100], Step[165/526], Loss: 0.7226
Epoch [90/100], Step[166/526], Loss: 0.5310
Epoch [90/100], Step[167/526], Loss: 0.5743
Epoch [90/100], Step[168/526], Loss: 0.6915
Epoch [90/100], Step[169/526], Loss: 0.7424
Epoch [90/100], Step[170/526], Loss: 0.7031
Epoch [90/100], Step[171/526], Loss: 0.7398
Epoch [90/100], Step[172/526], Loss: 0.7144
Epoch [90/100], Step[173/526], Loss: 0.8228
Epoch [90/100], Step[174/526], Loss: 0.6308
Epoch [90/100], Step[175/526], Loss: 0.6775
Epoch [90/100], Step[176/526], Loss: 0.6116
Epoch [90/100], Step[177/526], Loss: 0.6719
Epoch [90/100], Step[178/526], Loss: 0.6889
Epoch [90/100], Step[179/526], Loss: 0.6203
Epoch [90/100], Step[180/526], Loss: 0.6776
Epoch [90/100], Step[181/526], Loss: 0.6523
Epoch [90/100], Step[182/526], Loss: 0.6710
Epoch [90/100], Step[183/526], Loss: 0.5479
Epoch [90/100], Step[184/526], Loss: 0.6157
Epoch [90/100], Step[185/526], Loss: 0.6098
Epoch [90/100], Step[186/526], Loss: 0.6418
Epoch [90/100], Step[187/526], Loss: 0.7588
Epoch [90/100], Step[188/526], Loss: 0.6978
Epoch [90/100], Step[189/526], Loss: 0.6607
Epoch [90/100], Step[190/526], Loss: 0.6717
Epoch [90/100], Step[191/526], Loss: 0.6842
Epoch [90/100], Step[192/526], Loss: 0.7639
Epoch [90/100], Step[193/526], Loss: 0.6462
Epoch [90/100], Step[194/526], Loss: 0.5885
Epoch [90/100], Step[195/526], Loss: 0.6550
Epoch [90/100], Step[196/526], Loss: 0.7271
Epoch [90/100], Step[197/526], Loss: 0.6600
Epoch [90/100], Step[198/526], Loss: 0.6165
Epoch [90/100], Step[199/526], Loss: 0.7454
Epoch [90/100], Step[200/526], Loss: 0.6789
Epoch [90/100], Step[201/526], Loss: 0.6771
Epoch [90/100], Step[202/526], Loss: 0.7553
Epoch [90/100], Step[203/526], Loss: 0.7050
Epoch [90/100], Step[204/526], Loss: 0.7121
Epoch [90/100], Step[205/526], Loss: 0.6862
Epoch [90/100], Step[206/526], Loss: 0.6836
Epoch [90/100], Step[207/526], Loss: 0.7057
Epoch [90/100], Step[208/526], Loss: 0.6826
Epoch [90/100], Step[209/526], Loss: 0.6795
Epoch [90/100], Step[210/526], Loss: 0.7540
Epoch [90/100], Step[211/526], Loss: 0.6272
Epoch [90/100], Step[212/526], Loss: 0.6851
Epoch [90/100], Step[213/526], Loss: 0.7130
Epoch [90/100], Step[214/526], Loss: 0.7080
Epoch [90/100], Step[215/526], Loss: 0.6886
Epoch [90/100], Step[216/526], Loss: 0.6702
Epoch [90/100], Step[217/526], Loss: 0.6392
Epoch [90/100], Step[218/526], Loss: 0.6930
Epoch [90/100], Step[219/526], Loss: 0.6896
Epoch [90/100], Step[220/526], Loss: 0.7134
Epoch [90/100], Step[221/526], Loss: 0.6888
Epoch [90/100], Step[222/526], Loss: 0.7222
Epoch [90/100], Step[223/526], Loss: 0.6001
Epoch [90/100], Step[224/526], Loss: 0.6521
Epoch [90/100], Step[225/526], Loss: 0.6728
Epoch [90/100], Step[226/526], Loss: 0.6533
Epoch [90/100], Step[227/526], Loss: 0.6406
Epoch [90/100], Step[228/526], Loss: 0.6774
Epoch [90/100], Step[229/526], Loss: 0.6906
Epoch [90/100], Step[230/526], Loss: 0.6188
Epoch [90/100], Step[231/526], Loss: 0.6251
Epoch [90/100], Step[232/526], Loss: 0.6371
Epoch [90/100], Step[233/526], Loss: 0.6754
Epoch [90/100], Step[234/526], Loss: 0.6142
Epoch [90/100], Step[235/526], Loss: 0.6365
Epoch [90/100], Step[236/526], Loss: 0.6911
Epoch [90/100], Step[237/526], Loss: 0.7564
Epoch [90/100], Step[238/526], Loss: 0.5728
Epoch [90/100], Step[239/526], Loss: 0.6449
Epoch [90/100], Step[240/526], Loss: 0.6231
Epoch [90/100], Step[241/526], Loss: 0.5826
Epoch [90/100], Step[242/526], Loss: 0.5633
Epoch [90/100], Step[243/526], Loss: 0.5867
Epoch [90/100], Step[244/526], Loss: 0.5453
Epoch [90/100], Step[245/526], Loss: 0.5874
Epoch [90/100], Step[246/526], Loss: 0.6398
Epoch [90/100], Step[247/526], Loss: 0.5033
Epoch [90/100], Step[248/526], Loss: 0.5525
Epoch [90/100], Step[249/526], Loss: 0.7680
Epoch [90/100], Step[250/526], Loss: 0.7729
Epoch [90/100], Step[251/526], Loss: 0.6675
Epoch [90/100], Step[252/526], Loss: 0.6788
Epoch [90/100], Step[253/526], Loss: 0.6297
Epoch [90/100], Step[254/526], Loss: 0.6849
Epoch [90/100], Step[255/526], Loss: 0.6120
Epoch [90/100], Step[256/526], Loss: 0.6687
Epoch [90/100], Step[257/526], Loss: 0.5998
Epoch [90/100], Step[258/526], Loss: 0.6207
Epoch [90/100], Step[259/526], Loss: 0.7075
Epoch [90/100], Step[260/526], Loss: 0.6913
Epoch [90/100], Step[261/526], Loss: 0.7393
Epoch [90/100], Step[262/526], Loss: 0.5528
Epoch [90/100], Step[263/526], Loss: 0.6348
Epoch [90/100], Step[264/526], Loss: 0.5924
Epoch [90/100], Step[265/526], Loss: 0.3389
Epoch [90/100], Step[266/526], Loss: 0.3372
Epoch [90/100], Step[267/526], Loss: 0.4599
Epoch [90/100], Step[268/526], Loss: 0.5765
Epoch [90/100], Step[269/526], Loss: 0.4774
Epoch [90/100], Step[270/526], Loss: 0.4176
Epoch [90/100], Step[271/526], Loss: 0.5608
Epoch [90/100], Step[272/526], Loss: 0.5546
Epoch [90/100], Step[273/526], Loss: 0.6510
Epoch [90/100], Step[274/526], Loss: 0.4484
Epoch [90/100], Step[275/526], Loss: 0.4081
Epoch [90/100], Step[276/526], Loss: 0.4923
Epoch [90/100], Step[277/526], Loss: 0.3667
Epoch [90/100], Step[278/526], Loss: 0.4767
Epoch [90/100], Step[279/526], Loss: 0.4506
Epoch [90/100], Step[280/526], Loss: 0.5102
Epoch [90/100], Step[281/526], Loss: 0.7123
Epoch [90/100], Step[282/526], Loss: 0.4297
Epoch [90/100], Step[283/526], Loss: 0.3894
Epoch [90/100], Step[284/526], Loss: 0.4532
Epoch [90/100], Step[285/526], Loss: 0.2965
Epoch [90/100], Step[286/526], Loss: 0.7384
Epoch [90/100], Step[287/526], Loss: 0.5100
Epoch [90/100], Step[288/526], Loss: 0.4071
Epoch [90/100], Step[289/526], Loss: 0.6055
Epoch [90/100], Step[290/526], Loss: 0.4477
Epoch [90/100], Step[291/526], Loss: 0.4537
Epoch [90/100], Step[292/526], Loss: 0.2889
Epoch [90/100], Step[293/526], Loss: 0.3115
Epoch [90/100], Step[294/526], Loss: 0.3469
Epoch [90/100], Step[295/526], Loss: 0.4426
Epoch [90/100], Step[296/526], Loss: 0.6058
Epoch [90/100], Step[297/526], Loss: 0.3509
Epoch [90/100], Step[298/526], Loss: 0.2978
Epoch [90/100], Step[299/526], Loss: 0.2568
Epoch [90/100], Step[300/526], Loss: 0.2724
Epoch [90/100], Step[301/526], Loss: 0.6388
Epoch [90/100], Step[302/526], Loss: 0.3780
Epoch [90/100], Step[303/526], Loss: 0.4359
Epoch [90/100], Step[304/526], Loss: 0.2692
Epoch [90/100], Step[305/526], Loss: 0.2781
Epoch [90/100], Step[306/526], Loss: 0.5713
Epoch [90/100], Step[307/526], Loss: 0.9040
Epoch [90/100], Step[308/526], Loss: 1.3389
Epoch [90/100], Step[309/526], Loss: 0.9542
Epoch [90/100], Step[310/526], Loss: 0.9178
Epoch [90/100], Step[311/526], Loss: 0.8132
Epoch [90/100], Step[312/526], Loss: 0.4814
Epoch [90/100], Step[313/526], Loss: 0.4513
Epoch [90/100], Step[314/526], Loss: 0.6152
Epoch [90/100], Step[315/526], Loss: 0.7647
Epoch [90/100], Step[316/526], Loss: 0.4959
Epoch [90/100], Step[317/526], Loss: 0.3271
Epoch [90/100], Step[318/526], Loss: 0.7863
Epoch [90/100], Step[319/526], Loss: 0.3595
Epoch [90/100], Step[320/526], Loss: 0.6519
Epoch [90/100], Step[321/526], Loss: 0.7474
Epoch [90/100], Step[322/526], Loss: 0.2832
Epoch [90/100], Step[323/526], Loss: 0.6129
Epoch [90/100], Step[324/526], Loss: 0.6755
Epoch [90/100], Step[325/526], Loss: 0.5826
Epoch [90/100], Step[326/526], Loss: 0.7544
Epoch [90/100], Step[327/526], Loss: 0.7302
Epoch [90/100], Step[328/526], Loss: 0.9365
Epoch [90/100], Step[329/526], Loss: 1.3060
Epoch [90/100], Step[330/526], Loss: 1.0464
Epoch [90/100], Step[331/526], Loss: 0.7830
Epoch [90/100], Step[332/526], Loss: 0.8612
Epoch [90/100], Step[333/526], Loss: 0.7373
Epoch [90/100], Step[334/526], Loss: 0.7563
Epoch [90/100], Step[335/526], Loss: 0.7608
Epoch [90/100], Step[336/526], Loss: 0.6494
Epoch [90/100], Step[337/526], Loss: 0.5819
Epoch [90/100], Step[338/526], Loss: 0.7088
Epoch [90/100], Step[339/526], Loss: 0.6574
Epoch [90/100], Step[340/526], Loss: 0.7253
Epoch [90/100], Step[341/526], Loss: 0.7641
Epoch [90/100], Step[342/526], Loss: 0.7678
Epoch [90/100], Step[343/526], Loss: 0.5362
Epoch [90/100], Step[344/526], Loss: 0.7044
Epoch [90/100], Step[345/526], Loss: 0.6810
Epoch [90/100], Step[346/526], Loss: 0.6775
Epoch [90/100], Step[347/526], Loss: 0.7175
Epoch [90/100], Step[348/526], Loss: 0.6376
Epoch [90/100], Step[349/526], Loss: 0.5646
Epoch [90/100], Step[350/526], Loss: 0.6434
Epoch [90/100], Step[351/526], Loss: 0.6969
Epoch [90/100], Step[352/526], Loss: 0.6302
Epoch [90/100], Step[353/526], Loss: 0.6710
Epoch [90/100], Step[354/526], Loss: 0.6798
Epoch [90/100], Step[355/526], Loss: 0.6725
Epoch [90/100], Step[356/526], Loss: 0.6931
Epoch [90/100], Step[357/526], Loss: 0.6386
Epoch [90/100], Step[358/526], Loss: 0.7127
Epoch [90/100], Step[359/526], Loss: 0.6378
Epoch [90/100], Step[360/526], Loss: 0.6723
Epoch [90/100], Step[361/526], Loss: 0.7137
Epoch [90/100], Step[362/526], Loss: 0.6943
Epoch [90/100], Step[363/526], Loss: 0.7012
Epoch [90/100], Step[364/526], Loss: 0.7258
Epoch [90/100], Step[365/526], Loss: 0.7363
Epoch [90/100], Step[366/526], Loss: 0.6821
Epoch [90/100], Step[367/526], Loss: 0.6776
Epoch [90/100], Step[368/526], Loss: 0.6577
Epoch [90/100], Step[369/526], Loss: 0.6357
Epoch [90/100], Step[370/526], Loss: 0.5737
Epoch [90/100], Step[371/526], Loss: 0.7338
Epoch [90/100], Step[372/526], Loss: 0.6407
Epoch [90/100], Step[373/526], Loss: 0.6723
Epoch [90/100], Step[374/526], Loss: 0.6955
Epoch [90/100], Step[375/526], Loss: 0.6314
Epoch [90/100], Step[376/526], Loss: 0.6235
Epoch [90/100], Step[377/526], Loss: 0.6805
Epoch [90/100], Step[378/526], Loss: 0.6741
Epoch [90/100], Step[379/526], Loss: 0.7875
Epoch [90/100], Step[380/526], Loss: 0.5965
Epoch [90/100], Step[381/526], Loss: 0.5802
Epoch [90/100], Step[382/526], Loss: 0.6642
Epoch [90/100], Step[383/526], Loss: 0.6887
Epoch [90/100], Step[384/526], Loss: 0.6356
Epoch [90/100], Step[385/526], Loss: 0.6295
Epoch [90/100], Step[386/526], Loss: 0.6226
Epoch [90/100], Step[387/526], Loss: 0.6435
Epoch [90/100], Step[388/526], Loss: 0.5758
Epoch [90/100], Step[389/526], Loss: 0.7313
Epoch [90/100], Step[390/526], Loss: 0.5583
Epoch [90/100], Step[391/526], Loss: 0.6280
Epoch [90/100], Step[392/526], Loss: 0.7291
Epoch [90/100], Step[393/526], Loss: 0.5751
Epoch [90/100], Step[394/526], Loss: 0.5025
Epoch [90/100], Step[395/526], Loss: 0.5938
Epoch [90/100], Step[396/526], Loss: 0.6186
Epoch [90/100], Step[397/526], Loss: 0.4638
Epoch [90/100], Step[398/526], Loss: 0.6054
Epoch [90/100], Step[399/526], Loss: 0.6652
Epoch [90/100], Step[400/526], Loss: 0.4446
Epoch [90/100], Step[401/526], Loss: 0.5987
Epoch [90/100], Step[402/526], Loss: 0.5961
Epoch [90/100], Step[403/526], Loss: 0.7517
Epoch [90/100], Step[404/526], Loss: 0.4586
Epoch [90/100], Step[405/526], Loss: 0.4592
Epoch [90/100], Step[406/526], Loss: 0.6957
Epoch [90/100], Step[407/526], Loss: 0.7943
Epoch [90/100], Step[408/526], Loss: 0.6754
Epoch [90/100], Step[409/526], Loss: 0.4642
Epoch [90/100], Step[410/526], Loss: 0.4714
Epoch [90/100], Step[411/526], Loss: 0.5095
Epoch [90/100], Step[412/526], Loss: 0.5719
Epoch [90/100], Step[413/526], Loss: 0.5851
Epoch [90/100], Step[414/526], Loss: 0.6304
Epoch [90/100], Step[415/526], Loss: 0.6155
Epoch [90/100], Step[416/526], Loss: 0.6182
Epoch [90/100], Step[417/526], Loss: 0.4527
Epoch [90/100], Step[418/526], Loss: 0.8069
Epoch [90/100], Step[419/526], Loss: 0.6445
Epoch [90/100], Step[420/526], Loss: 0.6729
Epoch [90/100], Step[421/526], Loss: 0.6508
Epoch [90/100], Step[422/526], Loss: 0.8694
Epoch [90/100], Step[423/526], Loss: 0.7281
Epoch [90/100], Step[424/526], Loss: 0.7538
Epoch [90/100], Step[425/526], Loss: 0.7300
Epoch [90/100], Step[426/526], Loss: 0.7774
Epoch [90/100], Step[427/526], Loss: 0.6976
Epoch [90/100], Step[428/526], Loss: 0.7162
Epoch [90/100], Step[429/526], Loss: 0.7668
Epoch [90/100], Step[430/526], Loss: 0.8033
Epoch [90/100], Step[431/526], Loss: 0.7193
Epoch [90/100], Step[432/526], Loss: 0.7492
Epoch [90/100], Step[433/526], Loss: 0.6706
Epoch [90/100], Step[434/526], Loss: 0.5900
Epoch [90/100], Step[435/526], Loss: 0.7561
Epoch [90/100], Step[436/526], Loss: 0.8007
Epoch [90/100], Step[437/526], Loss: 0.4924
Epoch [90/100], Step[438/526], Loss: 0.3649
Epoch [90/100], Step[439/526], Loss: 0.7247
Epoch [90/100], Step[440/526], Loss: 0.6826
Epoch [90/100], Step[441/526], Loss: 0.6949
Epoch [90/100], Step[442/526], Loss: 0.6524
Epoch [90/100], Step[443/526], Loss: 0.6627
Epoch [90/100], Step[444/526], Loss: 0.7583
Epoch [90/100], Step[445/526], Loss: 0.7130
Epoch [90/100], Step[446/526], Loss: 0.6980
Epoch [90/100], Step[447/526], Loss: 0.7341
Epoch [90/100], Step[448/526], Loss: 0.7186
Epoch [90/100], Step[449/526], Loss: 0.6768
Epoch [90/100], Step[450/526], Loss: 0.6050
Epoch [90/100], Step[451/526], Loss: 0.6765
Epoch [90/100], Step[452/526], Loss: 0.7324
Epoch [90/100], Step[453/526], Loss: 0.7061
Epoch [90/100], Step[454/526], Loss: 0.7980
Epoch [90/100], Step[455/526], Loss: 0.6394
Epoch [90/100], Step[456/526], Loss: 0.6224
Epoch [90/100], Step[457/526], Loss: 0.6925
Epoch [90/100], Step[458/526], Loss: 0.6654
Epoch [90/100], Step[459/526], Loss: 0.6370
Epoch [90/100], Step[460/526], Loss: 0.6158
Epoch [90/100], Step[461/526], Loss: 0.5916
Epoch [90/100], Step[462/526], Loss: 0.6457
Epoch [90/100], Step[463/526], Loss: 0.6353
Epoch [90/100], Step[464/526], Loss: 0.6162
Epoch [90/100], Step[465/526], Loss: 0.6433
Epoch [90/100], Step[466/526], Loss: 0.6602
Epoch [90/100], Step[467/526], Loss: 0.6349
Epoch [90/100], Step[468/526], Loss: 0.5875
Epoch [90/100], Step[469/526], Loss: 0.8401
Epoch [90/100], Step[470/526], Loss: 0.6633
Epoch [90/100], Step[471/526], Loss: 0.7029
Epoch [90/100], Step[472/526], Loss: 0.6782
Epoch [90/100], Step[473/526], Loss: 0.6772
Epoch [90/100], Step[474/526], Loss: 0.6678
Epoch [90/100], Step[475/526], Loss: 0.8398
Epoch [90/100], Step[476/526], Loss: 0.7447
Epoch [90/100], Step[477/526], Loss: 0.6831
Epoch [90/100], Step[478/526], Loss: 0.6947
Epoch [90/100], Step[479/526], Loss: 0.6628
Epoch [90/100], Step[480/526], Loss: 0.7295
Epoch [90/100], Step[481/526], Loss: 0.7277
Epoch [90/100], Step[482/526], Loss: 0.6434
Epoch [90/100], Step[483/526], Loss: 0.5322
Epoch [90/100], Step[484/526], Loss: 0.7293
Epoch [90/100], Step[485/526], Loss: 0.7868
Epoch [90/100], Step[486/526], Loss: 0.7346
Epoch [90/100], Step[487/526], Loss: 0.7502
Epoch [90/100], Step[488/526], Loss: 0.6570
Epoch [90/100], Step[489/526], Loss: 0.6174
Epoch [90/100], Step[490/526], Loss: 0.5876
Epoch [90/100], Step[491/526], Loss: 0.6768
Epoch [90/100], Step[492/526], Loss: 0.6468
Epoch [90/100], Step[493/526], Loss: 0.6291
Epoch [90/100], Step[494/526], Loss: 0.6792
Epoch [90/100], Step[495/526], Loss: 0.6879
Epoch [90/100], Step[496/526], Loss: 0.6524
Epoch [90/100], Step[497/526], Loss: 0.6292
Epoch [90/100], Step[498/526], Loss: 0.6783
Epoch [90/100], Step[499/526], Loss: 0.6627
Epoch [90/100], Step[500/526], Loss: 0.7125
Epoch [90/100], Step[501/526], Loss: 0.6639
Epoch [90/100], Step[502/526], Loss: 0.7006
Epoch [90/100], Step[503/526], Loss: 0.7079
Epoch [90/100], Step[504/526], Loss: 0.7093
Epoch [90/100], Step[505/526], Loss: 0.7241
Epoch [90/100], Step[506/526], Loss: 0.6530
Epoch [90/100], Step[507/526], Loss: 0.6764
Epoch [90/100], Step[508/526], Loss: 0.6983
Epoch [90/100], Step[509/526], Loss: 0.6346
Epoch [90/100], Step[510/526], Loss: 0.6999
Epoch [90/100], Step[511/526], Loss: 0.6302
Epoch [90/100], Step[512/526], Loss: 0.6601
Epoch [90/100], Step[513/526], Loss: 0.6316
Epoch [90/100], Step[514/526], Loss: 0.6512
Epoch [90/100], Step[515/526], Loss: 0.5560
Epoch [90/100], Step[516/526], Loss: 0.7569
Epoch [90/100], Step[517/526], Loss: 0.6880
Epoch [90/100], Step[518/526], Loss: 0.7444
Epoch [90/100], Step[519/526], Loss: 0.7254
Epoch [90/100], Step[520/526], Loss: 0.6825
Epoch [90/100], Step[521/526], Loss: 0.6826
Epoch [90/100], Step[522/526], Loss: 0.5862
Epoch [90/100], Step[523/526], Loss: 0.6443
Epoch [90/100], Step[524/526], Loss: 0.6152
Epoch [90/100], Step[525/526], Loss: 0.7638
Epoch [90/100], Step[526/526], Loss: 0.7231
Epoch [91/100], Step[1/526], Loss: 0.6549
Epoch [91/100], Step[2/526], Loss: 0.6400
Epoch [91/100], Step[3/526], Loss: 0.6768
Epoch [91/100], Step[4/526], Loss: 0.6275
Epoch [91/100], Step[5/526], Loss: 0.7404
Epoch [91/100], Step[6/526], Loss: 0.7566
Epoch [91/100], Step[7/526], Loss: 0.6842
Epoch [91/100], Step[8/526], Loss: 0.6775
Epoch [91/100], Step[9/526], Loss: 0.6977
Epoch [91/100], Step[10/526], Loss: 0.6427
Epoch [91/100], Step[11/526], Loss: 0.7119
Epoch [91/100], Step[12/526], Loss: 0.7532
Epoch [91/100], Step[13/526], Loss: 0.6012
Epoch [91/100], Step[14/526], Loss: 0.6613
Epoch [91/100], Step[15/526], Loss: 0.6752
Epoch [91/100], Step[16/526], Loss: 0.7110
Epoch [91/100], Step[17/526], Loss: 0.7164
Epoch [91/100], Step[18/526], Loss: 0.6517
Epoch [91/100], Step[19/526], Loss: 0.6926
Epoch [91/100], Step[20/526], Loss: 0.7687
Epoch [91/100], Step[21/526], Loss: 0.7740
Epoch [91/100], Step[22/526], Loss: 0.7483
Epoch [91/100], Step[23/526], Loss: 0.7305
Epoch [91/100], Step[24/526], Loss: 0.7295
Epoch [91/100], Step[25/526], Loss: 0.6953
Epoch [91/100], Step[26/526], Loss: 0.6173
Epoch [91/100], Step[27/526], Loss: 0.6765
Epoch [91/100], Step[28/526], Loss: 0.7051
Epoch [91/100], Step[29/526], Loss: 0.6400
Epoch [91/100], Step[30/526], Loss: 0.7051
Epoch [91/100], Step[31/526], Loss: 0.7123
Epoch [91/100], Step[32/526], Loss: 0.6782
Epoch [91/100], Step[33/526], Loss: 0.7162
Epoch [91/100], Step[34/526], Loss: 0.7038
Epoch [91/100], Step[35/526], Loss: 0.7303
Epoch [91/100], Step[36/526], Loss: 0.7057
Epoch [91/100], Step[37/526], Loss: 0.6923
Epoch [91/100], Step[38/526], Loss: 0.7162
Epoch [91/100], Step[39/526], Loss: 0.6822
Epoch [91/100], Step[40/526], Loss: 0.7007
Epoch [91/100], Step[41/526], Loss: 0.6657
Epoch [91/100], Step[42/526], Loss: 0.7272
Epoch [91/100], Step[43/526], Loss: 0.7160
Epoch [91/100], Step[44/526], Loss: 0.6947
Epoch [91/100], Step[45/526], Loss: 0.6966
Epoch [91/100], Step[46/526], Loss: 0.6789
Epoch [91/100], Step[47/526], Loss: 0.6915
Epoch [91/100], Step[48/526], Loss: 0.7186
Epoch [91/100], Step[49/526], Loss: 0.7012
Epoch [91/100], Step[50/526], Loss: 0.6979
Epoch [91/100], Step[51/526], Loss: 0.7017
Epoch [91/100], Step[52/526], Loss: 0.6816
Epoch [91/100], Step[53/526], Loss: 0.7117
Epoch [91/100], Step[54/526], Loss: 0.7023
Epoch [91/100], Step[55/526], Loss: 0.7041
Epoch [91/100], Step[56/526], Loss: 0.6786
Epoch [91/100], Step[57/526], Loss: 0.6832
Epoch [91/100], Step[58/526], Loss: 0.6697
Epoch [91/100], Step[59/526], Loss: 0.6651
Epoch [91/100], Step[60/526], Loss: 0.6585
Epoch [91/100], Step[61/526], Loss: 0.6588
Epoch [91/100], Step[62/526], Loss: 0.7062
Epoch [91/100], Step[63/526], Loss: 0.6802
Epoch [91/100], Step[64/526], Loss: 0.6735
Epoch [91/100], Step[65/526], Loss: 0.7217
Epoch [91/100], Step[66/526], Loss: 0.6804
Epoch [91/100], Step[67/526], Loss: 0.6344
Epoch [91/100], Step[68/526], Loss: 0.6586
Epoch [91/100], Step[69/526], Loss: 0.6870
Epoch [91/100], Step[70/526], Loss: 0.6764
Epoch [91/100], Step[71/526], Loss: 0.6615
Epoch [91/100], Step[72/526], Loss: 0.6871
Epoch [91/100], Step[73/526], Loss: 0.7162
Epoch [91/100], Step[74/526], Loss: 0.6577
Epoch [91/100], Step[75/526], Loss: 0.7055
Epoch [91/100], Step[76/526], Loss: 0.6947
Epoch [91/100], Step[77/526], Loss: 0.7015
Epoch [91/100], Step[78/526], Loss: 0.7020
Epoch [91/100], Step[79/526], Loss: 0.6978
Epoch [91/100], Step[80/526], Loss: 0.7027
Epoch [91/100], Step[81/526], Loss: 0.7021
Epoch [91/100], Step[82/526], Loss: 0.7285
Epoch [91/100], Step[83/526], Loss: 0.7041
Epoch [91/100], Step[84/526], Loss: 0.6827
Epoch [91/100], Step[85/526], Loss: 0.6624
Epoch [91/100], Step[86/526], Loss: 0.6811
Epoch [91/100], Step[87/526], Loss: 0.6845
Epoch [91/100], Step[88/526], Loss: 0.6901
Epoch [91/100], Step[89/526], Loss: 0.7282
Epoch [91/100], Step[90/526], Loss: 0.6718
Epoch [91/100], Step[91/526], Loss: 0.6835
Epoch [91/100], Step[92/526], Loss: 0.6765
Epoch [91/100], Step[93/526], Loss: 0.6926
Epoch [91/100], Step[94/526], Loss: 0.8112
Epoch [91/100], Step[95/526], Loss: 0.7239
Epoch [91/100], Step[96/526], Loss: 0.6207
Epoch [91/100], Step[97/526], Loss: 0.5776
Epoch [91/100], Step[98/526], Loss: 0.6865
Epoch [91/100], Step[99/526], Loss: 0.6921
Epoch [91/100], Step[100/526], Loss: 0.6372
Epoch [91/100], Step[101/526], Loss: 0.6656
Epoch [91/100], Step[102/526], Loss: 0.6210
Epoch [91/100], Step[103/526], Loss: 0.7237
Epoch [91/100], Step[104/526], Loss: 0.6456
Epoch [91/100], Step[105/526], Loss: 0.6079
Epoch [91/100], Step[106/526], Loss: 0.6831
Epoch [91/100], Step[107/526], Loss: 0.6127
Epoch [91/100], Step[108/526], Loss: 0.5875
Epoch [91/100], Step[109/526], Loss: 0.6578
Epoch [91/100], Step[110/526], Loss: 0.6836
Epoch [91/100], Step[111/526], Loss: 0.6060
Epoch [91/100], Step[112/526], Loss: 0.7258
Epoch [91/100], Step[113/526], Loss: 0.6072
Epoch [91/100], Step[114/526], Loss: 0.6466
Epoch [91/100], Step[115/526], Loss: 0.5961
Epoch [91/100], Step[116/526], Loss: 0.6347
Epoch [91/100], Step[117/526], Loss: 0.6918
Epoch [91/100], Step[118/526], Loss: 0.7603
Epoch [91/100], Step[119/526], Loss: 0.6734
Epoch [91/100], Step[120/526], Loss: 0.6667
Epoch [91/100], Step[121/526], Loss: 0.6907
Epoch [91/100], Step[122/526], Loss: 0.6107
Epoch [91/100], Step[123/526], Loss: 0.6560
Epoch [91/100], Step[124/526], Loss: 0.6675
Epoch [91/100], Step[125/526], Loss: 0.6379
Epoch [91/100], Step[126/526], Loss: 0.7146
Epoch [91/100], Step[127/526], Loss: 0.6665
Epoch [91/100], Step[128/526], Loss: 0.6226
Epoch [91/100], Step[129/526], Loss: 0.6065
Epoch [91/100], Step[130/526], Loss: 0.6373
Epoch [91/100], Step[131/526], Loss: 0.6745
Epoch [91/100], Step[132/526], Loss: 0.7153
Epoch [91/100], Step[133/526], Loss: 0.6669
Epoch [91/100], Step[134/526], Loss: 0.6268
Epoch [91/100], Step[135/526], Loss: 0.6434
Epoch [91/100], Step[136/526], Loss: 0.5612
Epoch [91/100], Step[137/526], Loss: 0.6430
Epoch [91/100], Step[138/526], Loss: 0.6610
Epoch [91/100], Step[139/526], Loss: 0.6968
Epoch [91/100], Step[140/526], Loss: 0.5778
Epoch [91/100], Step[141/526], Loss: 0.6597
Epoch [91/100], Step[142/526], Loss: 0.6766
Epoch [91/100], Step[143/526], Loss: 0.6973
Epoch [91/100], Step[144/526], Loss: 0.7736
Epoch [91/100], Step[145/526], Loss: 0.5259
Epoch [91/100], Step[146/526], Loss: 0.4963
Epoch [91/100], Step[147/526], Loss: 0.4764
Epoch [91/100], Step[148/526], Loss: 0.5923
Epoch [91/100], Step[149/526], Loss: 0.4953
Epoch [91/100], Step[150/526], Loss: 0.5482
Epoch [91/100], Step[151/526], Loss: 0.5437
Epoch [91/100], Step[152/526], Loss: 0.6283
Epoch [91/100], Step[153/526], Loss: 0.6464
Epoch [91/100], Step[154/526], Loss: 0.7031
Epoch [91/100], Step[155/526], Loss: 0.7033
Epoch [91/100], Step[156/526], Loss: 0.5405
Epoch [91/100], Step[157/526], Loss: 0.2776
Epoch [91/100], Step[158/526], Loss: 0.5926
Epoch [91/100], Step[159/526], Loss: 0.6623
Epoch [91/100], Step[160/526], Loss: 0.5577
Epoch [91/100], Step[161/526], Loss: 0.8202
Epoch [91/100], Step[162/526], Loss: 0.7118
Epoch [91/100], Step[163/526], Loss: 0.7267
Epoch [91/100], Step[164/526], Loss: 0.6223
Epoch [91/100], Step[165/526], Loss: 0.7278
Epoch [91/100], Step[166/526], Loss: 0.5297
Epoch [91/100], Step[167/526], Loss: 0.5638
Epoch [91/100], Step[168/526], Loss: 0.6835
Epoch [91/100], Step[169/526], Loss: 0.7412
Epoch [91/100], Step[170/526], Loss: 0.6995
Epoch [91/100], Step[171/526], Loss: 0.7319
Epoch [91/100], Step[172/526], Loss: 0.7109
Epoch [91/100], Step[173/526], Loss: 0.8150
Epoch [91/100], Step[174/526], Loss: 0.6223
Epoch [91/100], Step[175/526], Loss: 0.6719
Epoch [91/100], Step[176/526], Loss: 0.6115
Epoch [91/100], Step[177/526], Loss: 0.6713
Epoch [91/100], Step[178/526], Loss: 0.6880
Epoch [91/100], Step[179/526], Loss: 0.6134
Epoch [91/100], Step[180/526], Loss: 0.6803
Epoch [91/100], Step[181/526], Loss: 0.6507
Epoch [91/100], Step[182/526], Loss: 0.6651
Epoch [91/100], Step[183/526], Loss: 0.5447
Epoch [91/100], Step[184/526], Loss: 0.6161
Epoch [91/100], Step[185/526], Loss: 0.6207
Epoch [91/100], Step[186/526], Loss: 0.6297
Epoch [91/100], Step[187/526], Loss: 0.7480
Epoch [91/100], Step[188/526], Loss: 0.6957
Epoch [91/100], Step[189/526], Loss: 0.6615
Epoch [91/100], Step[190/526], Loss: 0.7104
Epoch [91/100], Step[191/526], Loss: 0.6939
Epoch [91/100], Step[192/526], Loss: 0.8528
Epoch [91/100], Step[193/526], Loss: 0.6522
Epoch [91/100], Step[194/526], Loss: 0.6061
Epoch [91/100], Step[195/526], Loss: 0.6526
Epoch [91/100], Step[196/526], Loss: 0.7347
Epoch [91/100], Step[197/526], Loss: 0.6807
Epoch [91/100], Step[198/526], Loss: 0.6200
Epoch [91/100], Step[199/526], Loss: 0.7554
Epoch [91/100], Step[200/526], Loss: 0.6850
Epoch [91/100], Step[201/526], Loss: 0.6766
Epoch [91/100], Step[202/526], Loss: 0.7426
Epoch [91/100], Step[203/526], Loss: 0.7059
Epoch [91/100], Step[204/526], Loss: 0.7084
Epoch [91/100], Step[205/526], Loss: 0.6885
Epoch [91/100], Step[206/526], Loss: 0.6842
Epoch [91/100], Step[207/526], Loss: 0.7104
Epoch [91/100], Step[208/526], Loss: 0.6789
Epoch [91/100], Step[209/526], Loss: 0.6772
Epoch [91/100], Step[210/526], Loss: 0.7546
Epoch [91/100], Step[211/526], Loss: 0.6271
Epoch [91/100], Step[212/526], Loss: 0.6850
Epoch [91/100], Step[213/526], Loss: 0.7140
Epoch [91/100], Step[214/526], Loss: 0.7126
Epoch [91/100], Step[215/526], Loss: 0.6828
Epoch [91/100], Step[216/526], Loss: 0.6703
Epoch [91/100], Step[217/526], Loss: 0.6403
Epoch [91/100], Step[218/526], Loss: 0.6930
Epoch [91/100], Step[219/526], Loss: 0.6937
Epoch [91/100], Step[220/526], Loss: 0.7173
Epoch [91/100], Step[221/526], Loss: 0.6937
Epoch [91/100], Step[222/526], Loss: 0.7289
Epoch [91/100], Step[223/526], Loss: 0.6051
Epoch [91/100], Step[224/526], Loss: 0.6511
Epoch [91/100], Step[225/526], Loss: 0.6838
Epoch [91/100], Step[226/526], Loss: 0.6572
Epoch [91/100], Step[227/526], Loss: 0.6376
Epoch [91/100], Step[228/526], Loss: 0.6708
Epoch [91/100], Step[229/526], Loss: 0.6805
Epoch [91/100], Step[230/526], Loss: 0.6203
Epoch [91/100], Step[231/526], Loss: 0.6271
Epoch [91/100], Step[232/526], Loss: 0.6489
Epoch [91/100], Step[233/526], Loss: 0.6814
Epoch [91/100], Step[234/526], Loss: 0.6088
Epoch [91/100], Step[235/526], Loss: 0.6408
Epoch [91/100], Step[236/526], Loss: 0.6883
Epoch [91/100], Step[237/526], Loss: 0.7595
Epoch [91/100], Step[238/526], Loss: 0.5561
Epoch [91/100], Step[239/526], Loss: 0.6075
Epoch [91/100], Step[240/526], Loss: 0.5730
Epoch [91/100], Step[241/526], Loss: 0.5134
Epoch [91/100], Step[242/526], Loss: 0.4746
Epoch [91/100], Step[243/526], Loss: 0.7164
Epoch [91/100], Step[244/526], Loss: 0.5620
Epoch [91/100], Step[245/526], Loss: 0.5953
Epoch [91/100], Step[246/526], Loss: 0.6807
Epoch [91/100], Step[247/526], Loss: 0.4523
Epoch [91/100], Step[248/526], Loss: 0.4958
Epoch [91/100], Step[249/526], Loss: 0.8530
Epoch [91/100], Step[250/526], Loss: 0.8082
Epoch [91/100], Step[251/526], Loss: 0.6965
Epoch [91/100], Step[252/526], Loss: 0.7030
Epoch [91/100], Step[253/526], Loss: 0.6186
Epoch [91/100], Step[254/526], Loss: 0.7496
Epoch [91/100], Step[255/526], Loss: 0.5828
Epoch [91/100], Step[256/526], Loss: 0.6649
Epoch [91/100], Step[257/526], Loss: 0.4309
Epoch [91/100], Step[258/526], Loss: 0.5965
Epoch [91/100], Step[259/526], Loss: 0.7474
Epoch [91/100], Step[260/526], Loss: 0.6537
Epoch [91/100], Step[261/526], Loss: 0.7631
Epoch [91/100], Step[262/526], Loss: 0.5139
Epoch [91/100], Step[263/526], Loss: 0.6408
Epoch [91/100], Step[264/526], Loss: 0.5870
Epoch [91/100], Step[265/526], Loss: 0.3015
Epoch [91/100], Step[266/526], Loss: 0.2666
Epoch [91/100], Step[267/526], Loss: 0.4985
Epoch [91/100], Step[268/526], Loss: 0.7071
Epoch [91/100], Step[269/526], Loss: 0.5620
Epoch [91/100], Step[270/526], Loss: 0.4863
Epoch [91/100], Step[271/526], Loss: 0.5700
Epoch [91/100], Step[272/526], Loss: 0.5268
Epoch [91/100], Step[273/526], Loss: 0.6520
Epoch [91/100], Step[274/526], Loss: 0.4600
Epoch [91/100], Step[275/526], Loss: 0.4053
Epoch [91/100], Step[276/526], Loss: 0.4963
Epoch [91/100], Step[277/526], Loss: 0.3581
Epoch [91/100], Step[278/526], Loss: 0.4446
Epoch [91/100], Step[279/526], Loss: 0.3912
Epoch [91/100], Step[280/526], Loss: 0.4924
Epoch [91/100], Step[281/526], Loss: 0.6975
Epoch [91/100], Step[282/526], Loss: 0.4026
Epoch [91/100], Step[283/526], Loss: 0.3748
Epoch [91/100], Step[284/526], Loss: 0.4303
Epoch [91/100], Step[285/526], Loss: 0.2726
Epoch [91/100], Step[286/526], Loss: 0.7550
Epoch [91/100], Step[287/526], Loss: 0.4968
Epoch [91/100], Step[288/526], Loss: 0.4145
Epoch [91/100], Step[289/526], Loss: 0.6169
Epoch [91/100], Step[290/526], Loss: 0.4345
Epoch [91/100], Step[291/526], Loss: 0.4505
Epoch [91/100], Step[292/526], Loss: 0.2570
Epoch [91/100], Step[293/526], Loss: 0.3073
Epoch [91/100], Step[294/526], Loss: 0.3221
Epoch [91/100], Step[295/526], Loss: 0.4224
Epoch [91/100], Step[296/526], Loss: 0.6236
Epoch [91/100], Step[297/526], Loss: 0.3329
Epoch [91/100], Step[298/526], Loss: 0.2664
Epoch [91/100], Step[299/526], Loss: 0.2530
Epoch [91/100], Step[300/526], Loss: 0.2851
Epoch [91/100], Step[301/526], Loss: 0.6190
Epoch [91/100], Step[302/526], Loss: 0.3356
Epoch [91/100], Step[303/526], Loss: 0.4547
Epoch [91/100], Step[304/526], Loss: 0.2756
Epoch [91/100], Step[305/526], Loss: 0.2714
Epoch [91/100], Step[306/526], Loss: 0.5852
Epoch [91/100], Step[307/526], Loss: 0.9199
Epoch [91/100], Step[308/526], Loss: 1.3373
Epoch [91/100], Step[309/526], Loss: 0.9420
Epoch [91/100], Step[310/526], Loss: 0.9248
Epoch [91/100], Step[311/526], Loss: 0.8123
Epoch [91/100], Step[312/526], Loss: 0.4844
Epoch [91/100], Step[313/526], Loss: 0.4596
Epoch [91/100], Step[314/526], Loss: 0.6283
Epoch [91/100], Step[315/526], Loss: 0.7594
Epoch [91/100], Step[316/526], Loss: 0.4983
Epoch [91/100], Step[317/526], Loss: 0.3324
Epoch [91/100], Step[318/526], Loss: 0.7977
Epoch [91/100], Step[319/526], Loss: 0.3610
Epoch [91/100], Step[320/526], Loss: 0.6575
Epoch [91/100], Step[321/526], Loss: 0.7255
Epoch [91/100], Step[322/526], Loss: 0.2775
Epoch [91/100], Step[323/526], Loss: 0.6142
Epoch [91/100], Step[324/526], Loss: 0.6685
Epoch [91/100], Step[325/526], Loss: 0.5802
Epoch [91/100], Step[326/526], Loss: 0.7545
Epoch [91/100], Step[327/526], Loss: 0.7226
Epoch [91/100], Step[328/526], Loss: 0.9277
Epoch [91/100], Step[329/526], Loss: 1.2948
Epoch [91/100], Step[330/526], Loss: 1.0570
Epoch [91/100], Step[331/526], Loss: 0.7797
Epoch [91/100], Step[332/526], Loss: 0.8631
Epoch [91/100], Step[333/526], Loss: 0.7411
Epoch [91/100], Step[334/526], Loss: 0.7760
Epoch [91/100], Step[335/526], Loss: 0.7605
Epoch [91/100], Step[336/526], Loss: 0.6624
Epoch [91/100], Step[337/526], Loss: 0.5834
Epoch [91/100], Step[338/526], Loss: 0.7088
Epoch [91/100], Step[339/526], Loss: 0.6609
Epoch [91/100], Step[340/526], Loss: 0.7265
Epoch [91/100], Step[341/526], Loss: 0.7594
Epoch [91/100], Step[342/526], Loss: 0.7710
Epoch [91/100], Step[343/526], Loss: 0.5368
Epoch [91/100], Step[344/526], Loss: 0.7060
Epoch [91/100], Step[345/526], Loss: 0.6887
Epoch [91/100], Step[346/526], Loss: 0.6725
Epoch [91/100], Step[347/526], Loss: 0.7168
Epoch [91/100], Step[348/526], Loss: 0.6328
Epoch [91/100], Step[349/526], Loss: 0.5680
Epoch [91/100], Step[350/526], Loss: 0.6488
Epoch [91/100], Step[351/526], Loss: 0.7021
Epoch [91/100], Step[352/526], Loss: 0.6308
Epoch [91/100], Step[353/526], Loss: 0.6754
Epoch [91/100], Step[354/526], Loss: 0.6815
Epoch [91/100], Step[355/526], Loss: 0.6740
Epoch [91/100], Step[356/526], Loss: 0.6947
Epoch [91/100], Step[357/526], Loss: 0.6419
Epoch [91/100], Step[358/526], Loss: 0.7112
Epoch [91/100], Step[359/526], Loss: 0.6417
Epoch [91/100], Step[360/526], Loss: 0.6705
Epoch [91/100], Step[361/526], Loss: 0.7139
Epoch [91/100], Step[362/526], Loss: 0.6931
Epoch [91/100], Step[363/526], Loss: 0.6999
Epoch [91/100], Step[364/526], Loss: 0.7218
Epoch [91/100], Step[365/526], Loss: 0.7169
Epoch [91/100], Step[366/526], Loss: 0.6861
Epoch [91/100], Step[367/526], Loss: 0.6820
Epoch [91/100], Step[368/526], Loss: 0.6586
Epoch [91/100], Step[369/526], Loss: 0.6483
Epoch [91/100], Step[370/526], Loss: 0.5783
Epoch [91/100], Step[371/526], Loss: 0.7248
Epoch [91/100], Step[372/526], Loss: 0.6452
Epoch [91/100], Step[373/526], Loss: 0.6733
Epoch [91/100], Step[374/526], Loss: 0.6941
Epoch [91/100], Step[375/526], Loss: 0.6353
Epoch [91/100], Step[376/526], Loss: 0.6309
Epoch [91/100], Step[377/526], Loss: 0.6844
Epoch [91/100], Step[378/526], Loss: 0.6769
Epoch [91/100], Step[379/526], Loss: 0.7803
Epoch [91/100], Step[380/526], Loss: 0.5985
Epoch [91/100], Step[381/526], Loss: 0.5852
Epoch [91/100], Step[382/526], Loss: 0.6660
Epoch [91/100], Step[383/526], Loss: 0.6930
Epoch [91/100], Step[384/526], Loss: 0.6382
Epoch [91/100], Step[385/526], Loss: 0.6274
Epoch [91/100], Step[386/526], Loss: 0.6303
Epoch [91/100], Step[387/526], Loss: 0.6443
Epoch [91/100], Step[388/526], Loss: 0.5825
Epoch [91/100], Step[389/526], Loss: 0.7356
Epoch [91/100], Step[390/526], Loss: 0.5599
Epoch [91/100], Step[391/526], Loss: 0.6286
Epoch [91/100], Step[392/526], Loss: 0.7226
Epoch [91/100], Step[393/526], Loss: 0.5821
Epoch [91/100], Step[394/526], Loss: 0.5035
Epoch [91/100], Step[395/526], Loss: 0.5904
Epoch [91/100], Step[396/526], Loss: 0.6295
Epoch [91/100], Step[397/526], Loss: 0.4753
Epoch [91/100], Step[398/526], Loss: 0.6132
Epoch [91/100], Step[399/526], Loss: 0.6665
Epoch [91/100], Step[400/526], Loss: 0.4653
Epoch [91/100], Step[401/526], Loss: 0.5998
Epoch [91/100], Step[402/526], Loss: 0.6313
Epoch [91/100], Step[403/526], Loss: 0.7497
Epoch [91/100], Step[404/526], Loss: 0.4737
Epoch [91/100], Step[405/526], Loss: 0.4902
Epoch [91/100], Step[406/526], Loss: 0.6381
Epoch [91/100], Step[407/526], Loss: 0.7622
Epoch [91/100], Step[408/526], Loss: 0.6662
Epoch [91/100], Step[409/526], Loss: 0.4768
Epoch [91/100], Step[410/526], Loss: 0.5001
Epoch [91/100], Step[411/526], Loss: 0.5285
Epoch [91/100], Step[412/526], Loss: 0.5956
Epoch [91/100], Step[413/526], Loss: 0.6029
Epoch [91/100], Step[414/526], Loss: 0.6444
Epoch [91/100], Step[415/526], Loss: 0.6047
Epoch [91/100], Step[416/526], Loss: 0.5852
Epoch [91/100], Step[417/526], Loss: 0.4620
Epoch [91/100], Step[418/526], Loss: 0.7771
Epoch [91/100], Step[419/526], Loss: 0.6720
Epoch [91/100], Step[420/526], Loss: 0.6780
Epoch [91/100], Step[421/526], Loss: 0.6559
Epoch [91/100], Step[422/526], Loss: 0.7627
Epoch [91/100], Step[423/526], Loss: 0.6999
Epoch [91/100], Step[424/526], Loss: 0.7496
Epoch [91/100], Step[425/526], Loss: 0.7153
Epoch [91/100], Step[426/526], Loss: 0.7469
Epoch [91/100], Step[427/526], Loss: 0.7065
Epoch [91/100], Step[428/526], Loss: 0.7102
Epoch [91/100], Step[429/526], Loss: 0.7454
Epoch [91/100], Step[430/526], Loss: 0.7830
Epoch [91/100], Step[431/526], Loss: 0.7075
Epoch [91/100], Step[432/526], Loss: 0.7189
Epoch [91/100], Step[433/526], Loss: 0.6707
Epoch [91/100], Step[434/526], Loss: 0.6105
Epoch [91/100], Step[435/526], Loss: 0.7735
Epoch [91/100], Step[436/526], Loss: 0.8114
Epoch [91/100], Step[437/526], Loss: 0.4842
Epoch [91/100], Step[438/526], Loss: 0.3680
Epoch [91/100], Step[439/526], Loss: 0.7190
Epoch [91/100], Step[440/526], Loss: 0.6826
Epoch [91/100], Step[441/526], Loss: 0.7002
Epoch [91/100], Step[442/526], Loss: 0.6506
Epoch [91/100], Step[443/526], Loss: 0.6650
Epoch [91/100], Step[444/526], Loss: 0.7557
Epoch [91/100], Step[445/526], Loss: 0.7146
Epoch [91/100], Step[446/526], Loss: 0.6971
Epoch [91/100], Step[447/526], Loss: 0.7309
Epoch [91/100], Step[448/526], Loss: 0.7272
Epoch [91/100], Step[449/526], Loss: 0.6682
Epoch [91/100], Step[450/526], Loss: 0.5976
Epoch [91/100], Step[451/526], Loss: 0.6779
Epoch [91/100], Step[452/526], Loss: 0.7311
Epoch [91/100], Step[453/526], Loss: 0.7016
Epoch [91/100], Step[454/526], Loss: 0.8402
Epoch [91/100], Step[455/526], Loss: 0.6292
Epoch [91/100], Step[456/526], Loss: 0.6218
Epoch [91/100], Step[457/526], Loss: 0.6968
Epoch [91/100], Step[458/526], Loss: 0.6694
Epoch [91/100], Step[459/526], Loss: 0.6416
Epoch [91/100], Step[460/526], Loss: 0.6063
Epoch [91/100], Step[461/526], Loss: 0.5906
Epoch [91/100], Step[462/526], Loss: 0.6513
Epoch [91/100], Step[463/526], Loss: 0.6395
Epoch [91/100], Step[464/526], Loss: 0.6168
Epoch [91/100], Step[465/526], Loss: 0.6479
Epoch [91/100], Step[466/526], Loss: 0.6707
Epoch [91/100], Step[467/526], Loss: 0.6326
Epoch [91/100], Step[468/526], Loss: 0.5890
Epoch [91/100], Step[469/526], Loss: 0.8460
Epoch [91/100], Step[470/526], Loss: 0.6616
Epoch [91/100], Step[471/526], Loss: 0.6960
Epoch [91/100], Step[472/526], Loss: 0.6744
Epoch [91/100], Step[473/526], Loss: 0.6783
Epoch [91/100], Step[474/526], Loss: 0.6717
Epoch [91/100], Step[475/526], Loss: 0.8621
Epoch [91/100], Step[476/526], Loss: 0.7440
Epoch [91/100], Step[477/526], Loss: 0.6878
Epoch [91/100], Step[478/526], Loss: 0.6894
Epoch [91/100], Step[479/526], Loss: 0.6595
Epoch [91/100], Step[480/526], Loss: 0.7285
Epoch [91/100], Step[481/526], Loss: 0.7434
Epoch [91/100], Step[482/526], Loss: 0.6522
Epoch [91/100], Step[483/526], Loss: 0.5352
Epoch [91/100], Step[484/526], Loss: 0.7191
Epoch [91/100], Step[485/526], Loss: 0.7755
Epoch [91/100], Step[486/526], Loss: 0.7429
Epoch [91/100], Step[487/526], Loss: 0.7683
Epoch [91/100], Step[488/526], Loss: 0.6638
Epoch [91/100], Step[489/526], Loss: 0.6134
Epoch [91/100], Step[490/526], Loss: 0.5897
Epoch [91/100], Step[491/526], Loss: 0.6678
Epoch [91/100], Step[492/526], Loss: 0.6437
Epoch [91/100], Step[493/526], Loss: 0.6321
Epoch [91/100], Step[494/526], Loss: 0.6814
Epoch [91/100], Step[495/526], Loss: 0.6894
Epoch [91/100], Step[496/526], Loss: 0.6550
Epoch [91/100], Step[497/526], Loss: 0.6299
Epoch [91/100], Step[498/526], Loss: 0.6758
Epoch [91/100], Step[499/526], Loss: 0.6619
Epoch [91/100], Step[500/526], Loss: 0.7125
Epoch [91/100], Step[501/526], Loss: 0.6628
Epoch [91/100], Step[502/526], Loss: 0.7034
Epoch [91/100], Step[503/526], Loss: 0.7095
Epoch [91/100], Step[504/526], Loss: 0.7147
Epoch [91/100], Step[505/526], Loss: 0.7251
Epoch [91/100], Step[506/526], Loss: 0.6528
Epoch [91/100], Step[507/526], Loss: 0.6773
Epoch [91/100], Step[508/526], Loss: 0.6991
Epoch [91/100], Step[509/526], Loss: 0.6339
Epoch [91/100], Step[510/526], Loss: 0.6995
Epoch [91/100], Step[511/526], Loss: 0.6330
Epoch [91/100], Step[512/526], Loss: 0.6620
Epoch [91/100], Step[513/526], Loss: 0.6272
Epoch [91/100], Step[514/526], Loss: 0.6545
Epoch [91/100], Step[515/526], Loss: 0.5585
Epoch [91/100], Step[516/526], Loss: 0.7559
Epoch [91/100], Step[517/526], Loss: 0.6892
Epoch [91/100], Step[518/526], Loss: 0.7393
Epoch [91/100], Step[519/526], Loss: 0.7224
Epoch [91/100], Step[520/526], Loss: 0.6822
Epoch [91/100], Step[521/526], Loss: 0.6776
Epoch [91/100], Step[522/526], Loss: 0.5833
Epoch [91/100], Step[523/526], Loss: 0.6423
Epoch [91/100], Step[524/526], Loss: 0.6163
Epoch [91/100], Step[525/526], Loss: 0.7562
Epoch [91/100], Step[526/526], Loss: 0.7312
Epoch [92/100], Step[1/526], Loss: 0.6574
Epoch [92/100], Step[2/526], Loss: 0.6457
Epoch [92/100], Step[3/526], Loss: 0.6660
Epoch [92/100], Step[4/526], Loss: 0.6221
Epoch [92/100], Step[5/526], Loss: 0.7415
Epoch [92/100], Step[6/526], Loss: 0.7583
Epoch [92/100], Step[7/526], Loss: 0.6845
Epoch [92/100], Step[8/526], Loss: 0.6748
Epoch [92/100], Step[9/526], Loss: 0.6937
Epoch [92/100], Step[10/526], Loss: 0.6439
Epoch [92/100], Step[11/526], Loss: 0.7128
Epoch [92/100], Step[12/526], Loss: 0.7479
Epoch [92/100], Step[13/526], Loss: 0.6052
Epoch [92/100], Step[14/526], Loss: 0.6594
Epoch [92/100], Step[15/526], Loss: 0.6745
Epoch [92/100], Step[16/526], Loss: 0.7100
Epoch [92/100], Step[17/526], Loss: 0.6952
Epoch [92/100], Step[18/526], Loss: 0.6622
Epoch [92/100], Step[19/526], Loss: 0.7057
Epoch [92/100], Step[20/526], Loss: 0.7526
Epoch [92/100], Step[21/526], Loss: 0.7688
Epoch [92/100], Step[22/526], Loss: 0.7532
Epoch [92/100], Step[23/526], Loss: 0.7331
Epoch [92/100], Step[24/526], Loss: 0.7416
Epoch [92/100], Step[25/526], Loss: 0.6959
Epoch [92/100], Step[26/526], Loss: 0.6333
Epoch [92/100], Step[27/526], Loss: 0.6767
Epoch [92/100], Step[28/526], Loss: 0.7027
Epoch [92/100], Step[29/526], Loss: 0.6455
Epoch [92/100], Step[30/526], Loss: 0.6868
Epoch [92/100], Step[31/526], Loss: 0.7032
Epoch [92/100], Step[32/526], Loss: 0.6728
Epoch [92/100], Step[33/526], Loss: 0.7138
Epoch [92/100], Step[34/526], Loss: 0.7019
Epoch [92/100], Step[35/526], Loss: 0.7293
Epoch [92/100], Step[36/526], Loss: 0.7055
Epoch [92/100], Step[37/526], Loss: 0.6880
Epoch [92/100], Step[38/526], Loss: 0.7196
Epoch [92/100], Step[39/526], Loss: 0.6807
Epoch [92/100], Step[40/526], Loss: 0.7030
Epoch [92/100], Step[41/526], Loss: 0.6656
Epoch [92/100], Step[42/526], Loss: 0.7266
Epoch [92/100], Step[43/526], Loss: 0.7108
Epoch [92/100], Step[44/526], Loss: 0.6989
Epoch [92/100], Step[45/526], Loss: 0.7004
Epoch [92/100], Step[46/526], Loss: 0.6703
Epoch [92/100], Step[47/526], Loss: 0.6897
Epoch [92/100], Step[48/526], Loss: 0.7120
Epoch [92/100], Step[49/526], Loss: 0.7037
Epoch [92/100], Step[50/526], Loss: 0.7009
Epoch [92/100], Step[51/526], Loss: 0.7033
Epoch [92/100], Step[52/526], Loss: 0.6776
Epoch [92/100], Step[53/526], Loss: 0.7197
Epoch [92/100], Step[54/526], Loss: 0.6954
Epoch [92/100], Step[55/526], Loss: 0.6927
Epoch [92/100], Step[56/526], Loss: 0.6752
Epoch [92/100], Step[57/526], Loss: 0.6874
Epoch [92/100], Step[58/526], Loss: 0.6692
Epoch [92/100], Step[59/526], Loss: 0.6560
Epoch [92/100], Step[60/526], Loss: 0.6594
Epoch [92/100], Step[61/526], Loss: 0.6552
Epoch [92/100], Step[62/526], Loss: 0.7058
Epoch [92/100], Step[63/526], Loss: 0.6842
Epoch [92/100], Step[64/526], Loss: 0.6708
Epoch [92/100], Step[65/526], Loss: 0.7206
Epoch [92/100], Step[66/526], Loss: 0.6812
Epoch [92/100], Step[67/526], Loss: 0.6395
Epoch [92/100], Step[68/526], Loss: 0.6561
Epoch [92/100], Step[69/526], Loss: 0.6860
Epoch [92/100], Step[70/526], Loss: 0.6748
Epoch [92/100], Step[71/526], Loss: 0.6627
Epoch [92/100], Step[72/526], Loss: 0.6860
Epoch [92/100], Step[73/526], Loss: 0.7156
Epoch [92/100], Step[74/526], Loss: 0.6592
Epoch [92/100], Step[75/526], Loss: 0.7054
Epoch [92/100], Step[76/526], Loss: 0.6972
Epoch [92/100], Step[77/526], Loss: 0.7052
Epoch [92/100], Step[78/526], Loss: 0.7007
Epoch [92/100], Step[79/526], Loss: 0.6914
Epoch [92/100], Step[80/526], Loss: 0.7005
Epoch [92/100], Step[81/526], Loss: 0.6996
Epoch [92/100], Step[82/526], Loss: 0.7315
Epoch [92/100], Step[83/526], Loss: 0.6977
Epoch [92/100], Step[84/526], Loss: 0.6885
Epoch [92/100], Step[85/526], Loss: 0.6562
Epoch [92/100], Step[86/526], Loss: 0.6812
Epoch [92/100], Step[87/526], Loss: 0.6873
Epoch [92/100], Step[88/526], Loss: 0.6980
Epoch [92/100], Step[89/526], Loss: 0.7295
Epoch [92/100], Step[90/526], Loss: 0.6776
Epoch [92/100], Step[91/526], Loss: 0.6945
Epoch [92/100], Step[92/526], Loss: 0.6782
Epoch [92/100], Step[93/526], Loss: 0.7022
Epoch [92/100], Step[94/526], Loss: 0.7944
Epoch [92/100], Step[95/526], Loss: 0.7204
Epoch [92/100], Step[96/526], Loss: 0.6214
Epoch [92/100], Step[97/526], Loss: 0.5831
Epoch [92/100], Step[98/526], Loss: 0.6747
Epoch [92/100], Step[99/526], Loss: 0.6868
Epoch [92/100], Step[100/526], Loss: 0.6379
Epoch [92/100], Step[101/526], Loss: 0.6672
Epoch [92/100], Step[102/526], Loss: 0.6338
Epoch [92/100], Step[103/526], Loss: 0.7340
Epoch [92/100], Step[104/526], Loss: 0.6643
Epoch [92/100], Step[105/526], Loss: 0.6131
Epoch [92/100], Step[106/526], Loss: 0.6876
Epoch [92/100], Step[107/526], Loss: 0.6073
Epoch [92/100], Step[108/526], Loss: 0.5877
Epoch [92/100], Step[109/526], Loss: 0.6526
Epoch [92/100], Step[110/526], Loss: 0.6772
Epoch [92/100], Step[111/526], Loss: 0.6074
Epoch [92/100], Step[112/526], Loss: 0.7189
Epoch [92/100], Step[113/526], Loss: 0.6065
Epoch [92/100], Step[114/526], Loss: 0.6457
Epoch [92/100], Step[115/526], Loss: 0.5924
Epoch [92/100], Step[116/526], Loss: 0.6344
Epoch [92/100], Step[117/526], Loss: 0.6989
Epoch [92/100], Step[118/526], Loss: 0.7674
Epoch [92/100], Step[119/526], Loss: 0.6834
Epoch [92/100], Step[120/526], Loss: 0.6708
Epoch [92/100], Step[121/526], Loss: 0.6927
Epoch [92/100], Step[122/526], Loss: 0.6056
Epoch [92/100], Step[123/526], Loss: 0.6484
Epoch [92/100], Step[124/526], Loss: 0.6679
Epoch [92/100], Step[125/526], Loss: 0.6342
Epoch [92/100], Step[126/526], Loss: 0.7196
Epoch [92/100], Step[127/526], Loss: 0.6707
Epoch [92/100], Step[128/526], Loss: 0.6246
Epoch [92/100], Step[129/526], Loss: 0.6125
Epoch [92/100], Step[130/526], Loss: 0.6496
Epoch [92/100], Step[131/526], Loss: 0.6724
Epoch [92/100], Step[132/526], Loss: 0.7043
Epoch [92/100], Step[133/526], Loss: 0.6514
Epoch [92/100], Step[134/526], Loss: 0.6285
Epoch [92/100], Step[135/526], Loss: 0.6376
Epoch [92/100], Step[136/526], Loss: 0.5595
Epoch [92/100], Step[137/526], Loss: 0.6520
Epoch [92/100], Step[138/526], Loss: 0.6538
Epoch [92/100], Step[139/526], Loss: 0.6946
Epoch [92/100], Step[140/526], Loss: 0.5768
Epoch [92/100], Step[141/526], Loss: 0.6550
Epoch [92/100], Step[142/526], Loss: 0.6741
Epoch [92/100], Step[143/526], Loss: 0.7053
Epoch [92/100], Step[144/526], Loss: 0.8430
Epoch [92/100], Step[145/526], Loss: 0.6548
Epoch [92/100], Step[146/526], Loss: 0.5014
Epoch [92/100], Step[147/526], Loss: 0.4929
Epoch [92/100], Step[148/526], Loss: 0.5934
Epoch [92/100], Step[149/526], Loss: 0.5088
Epoch [92/100], Step[150/526], Loss: 0.5486
Epoch [92/100], Step[151/526], Loss: 0.5439
Epoch [92/100], Step[152/526], Loss: 0.6332
Epoch [92/100], Step[153/526], Loss: 0.6452
Epoch [92/100], Step[154/526], Loss: 0.7061
Epoch [92/100], Step[155/526], Loss: 0.7008
Epoch [92/100], Step[156/526], Loss: 0.5430
Epoch [92/100], Step[157/526], Loss: 0.2794
Epoch [92/100], Step[158/526], Loss: 0.5938
Epoch [92/100], Step[159/526], Loss: 0.6527
Epoch [92/100], Step[160/526], Loss: 0.5582
Epoch [92/100], Step[161/526], Loss: 0.7982
Epoch [92/100], Step[162/526], Loss: 0.7131
Epoch [92/100], Step[163/526], Loss: 0.7212
Epoch [92/100], Step[164/526], Loss: 0.6222
Epoch [92/100], Step[165/526], Loss: 0.7259
Epoch [92/100], Step[166/526], Loss: 0.5280
Epoch [92/100], Step[167/526], Loss: 0.5613
Epoch [92/100], Step[168/526], Loss: 0.6820
Epoch [92/100], Step[169/526], Loss: 0.7420
Epoch [92/100], Step[170/526], Loss: 0.7061
Epoch [92/100], Step[171/526], Loss: 0.7348
Epoch [92/100], Step[172/526], Loss: 0.7134
Epoch [92/100], Step[173/526], Loss: 0.8147
Epoch [92/100], Step[174/526], Loss: 0.6254
Epoch [92/100], Step[175/526], Loss: 0.6754
Epoch [92/100], Step[176/526], Loss: 0.6101
Epoch [92/100], Step[177/526], Loss: 0.6686
Epoch [92/100], Step[178/526], Loss: 0.6897
Epoch [92/100], Step[179/526], Loss: 0.6172
Epoch [92/100], Step[180/526], Loss: 0.6767
Epoch [92/100], Step[181/526], Loss: 0.6513
Epoch [92/100], Step[182/526], Loss: 0.6634
Epoch [92/100], Step[183/526], Loss: 0.5469
Epoch [92/100], Step[184/526], Loss: 0.6114
Epoch [92/100], Step[185/526], Loss: 0.6119
Epoch [92/100], Step[186/526], Loss: 0.6371
Epoch [92/100], Step[187/526], Loss: 0.7588
Epoch [92/100], Step[188/526], Loss: 0.6977
Epoch [92/100], Step[189/526], Loss: 0.6625
Epoch [92/100], Step[190/526], Loss: 0.7018
Epoch [92/100], Step[191/526], Loss: 0.6918
Epoch [92/100], Step[192/526], Loss: 0.8300
Epoch [92/100], Step[193/526], Loss: 0.6442
Epoch [92/100], Step[194/526], Loss: 0.6060
Epoch [92/100], Step[195/526], Loss: 0.6515
Epoch [92/100], Step[196/526], Loss: 0.7265
Epoch [92/100], Step[197/526], Loss: 0.6714
Epoch [92/100], Step[198/526], Loss: 0.6231
Epoch [92/100], Step[199/526], Loss: 0.7419
Epoch [92/100], Step[200/526], Loss: 0.6775
Epoch [92/100], Step[201/526], Loss: 0.6745
Epoch [92/100], Step[202/526], Loss: 0.7508
Epoch [92/100], Step[203/526], Loss: 0.7050
Epoch [92/100], Step[204/526], Loss: 0.7118
Epoch [92/100], Step[205/526], Loss: 0.6848
Epoch [92/100], Step[206/526], Loss: 0.6834
Epoch [92/100], Step[207/526], Loss: 0.7065
Epoch [92/100], Step[208/526], Loss: 0.6831
Epoch [92/100], Step[209/526], Loss: 0.6793
Epoch [92/100], Step[210/526], Loss: 0.7428
Epoch [92/100], Step[211/526], Loss: 0.6270
Epoch [92/100], Step[212/526], Loss: 0.6857
Epoch [92/100], Step[213/526], Loss: 0.7174
Epoch [92/100], Step[214/526], Loss: 0.7106
Epoch [92/100], Step[215/526], Loss: 0.6888
Epoch [92/100], Step[216/526], Loss: 0.6727
Epoch [92/100], Step[217/526], Loss: 0.6457
Epoch [92/100], Step[218/526], Loss: 0.6950
Epoch [92/100], Step[219/526], Loss: 0.6895
Epoch [92/100], Step[220/526], Loss: 0.7119
Epoch [92/100], Step[221/526], Loss: 0.6918
Epoch [92/100], Step[222/526], Loss: 0.7206
Epoch [92/100], Step[223/526], Loss: 0.6200
Epoch [92/100], Step[224/526], Loss: 0.6572
Epoch [92/100], Step[225/526], Loss: 0.6913
Epoch [92/100], Step[226/526], Loss: 0.6566
Epoch [92/100], Step[227/526], Loss: 0.6483
Epoch [92/100], Step[228/526], Loss: 0.6773
Epoch [92/100], Step[229/526], Loss: 0.6860
Epoch [92/100], Step[230/526], Loss: 0.6388
Epoch [92/100], Step[231/526], Loss: 0.6391
Epoch [92/100], Step[232/526], Loss: 0.6579
Epoch [92/100], Step[233/526], Loss: 0.6804
Epoch [92/100], Step[234/526], Loss: 0.6069
Epoch [92/100], Step[235/526], Loss: 0.6547
Epoch [92/100], Step[236/526], Loss: 0.6743
Epoch [92/100], Step[237/526], Loss: 0.7319
Epoch [92/100], Step[238/526], Loss: 0.5911
Epoch [92/100], Step[239/526], Loss: 0.6188
Epoch [92/100], Step[240/526], Loss: 0.6336
Epoch [92/100], Step[241/526], Loss: 0.5955
Epoch [92/100], Step[242/526], Loss: 0.5813
Epoch [92/100], Step[243/526], Loss: 0.5815
Epoch [92/100], Step[244/526], Loss: 0.5435
Epoch [92/100], Step[245/526], Loss: 0.5900
Epoch [92/100], Step[246/526], Loss: 0.6498
Epoch [92/100], Step[247/526], Loss: 0.4991
Epoch [92/100], Step[248/526], Loss: 0.5553
Epoch [92/100], Step[249/526], Loss: 0.8044
Epoch [92/100], Step[250/526], Loss: 0.7939
Epoch [92/100], Step[251/526], Loss: 0.6834
Epoch [92/100], Step[252/526], Loss: 0.6873
Epoch [92/100], Step[253/526], Loss: 0.6160
Epoch [92/100], Step[254/526], Loss: 0.6859
Epoch [92/100], Step[255/526], Loss: 0.6019
Epoch [92/100], Step[256/526], Loss: 0.6584
Epoch [92/100], Step[257/526], Loss: 0.5811
Epoch [92/100], Step[258/526], Loss: 0.6173
Epoch [92/100], Step[259/526], Loss: 0.7078
Epoch [92/100], Step[260/526], Loss: 0.6866
Epoch [92/100], Step[261/526], Loss: 0.7416
Epoch [92/100], Step[262/526], Loss: 0.5587
Epoch [92/100], Step[263/526], Loss: 0.6348
Epoch [92/100], Step[264/526], Loss: 0.5930
Epoch [92/100], Step[265/526], Loss: 0.3411
Epoch [92/100], Step[266/526], Loss: 0.3419
Epoch [92/100], Step[267/526], Loss: 0.4583
Epoch [92/100], Step[268/526], Loss: 0.5744
Epoch [92/100], Step[269/526], Loss: 0.4793
Epoch [92/100], Step[270/526], Loss: 0.4226
Epoch [92/100], Step[271/526], Loss: 0.5653
Epoch [92/100], Step[272/526], Loss: 0.5607
Epoch [92/100], Step[273/526], Loss: 0.6505
Epoch [92/100], Step[274/526], Loss: 0.4520
Epoch [92/100], Step[275/526], Loss: 0.4099
Epoch [92/100], Step[276/526], Loss: 0.4901
Epoch [92/100], Step[277/526], Loss: 0.3780
Epoch [92/100], Step[278/526], Loss: 0.4853
Epoch [92/100], Step[279/526], Loss: 0.4597
Epoch [92/100], Step[280/526], Loss: 0.5138
Epoch [92/100], Step[281/526], Loss: 0.6994
Epoch [92/100], Step[282/526], Loss: 0.4316
Epoch [92/100], Step[283/526], Loss: 0.3758
Epoch [92/100], Step[284/526], Loss: 0.4594
Epoch [92/100], Step[285/526], Loss: 0.2992
Epoch [92/100], Step[286/526], Loss: 0.7301
Epoch [92/100], Step[287/526], Loss: 0.5150
Epoch [92/100], Step[288/526], Loss: 0.4077
Epoch [92/100], Step[289/526], Loss: 0.6017
Epoch [92/100], Step[290/526], Loss: 0.4478
Epoch [92/100], Step[291/526], Loss: 0.4577
Epoch [92/100], Step[292/526], Loss: 0.2952
Epoch [92/100], Step[293/526], Loss: 0.3117
Epoch [92/100], Step[294/526], Loss: 0.3534
Epoch [92/100], Step[295/526], Loss: 0.4487
Epoch [92/100], Step[296/526], Loss: 0.6047
Epoch [92/100], Step[297/526], Loss: 0.3518
Epoch [92/100], Step[298/526], Loss: 0.3123
Epoch [92/100], Step[299/526], Loss: 0.2578
Epoch [92/100], Step[300/526], Loss: 0.2744
Epoch [92/100], Step[301/526], Loss: 0.6383
Epoch [92/100], Step[302/526], Loss: 0.3851
Epoch [92/100], Step[303/526], Loss: 0.4394
Epoch [92/100], Step[304/526], Loss: 0.2682
Epoch [92/100], Step[305/526], Loss: 0.2825
Epoch [92/100], Step[306/526], Loss: 0.5765
Epoch [92/100], Step[307/526], Loss: 0.9085
Epoch [92/100], Step[308/526], Loss: 1.3205
Epoch [92/100], Step[309/526], Loss: 0.9425
Epoch [92/100], Step[310/526], Loss: 0.9070
Epoch [92/100], Step[311/526], Loss: 0.8067
Epoch [92/100], Step[312/526], Loss: 0.4770
Epoch [92/100], Step[313/526], Loss: 0.4467
Epoch [92/100], Step[314/526], Loss: 0.6071
Epoch [92/100], Step[315/526], Loss: 0.7608
Epoch [92/100], Step[316/526], Loss: 0.4945
Epoch [92/100], Step[317/526], Loss: 0.3290
Epoch [92/100], Step[318/526], Loss: 0.7851
Epoch [92/100], Step[319/526], Loss: 0.3621
Epoch [92/100], Step[320/526], Loss: 0.6538
Epoch [92/100], Step[321/526], Loss: 0.7431
Epoch [92/100], Step[322/526], Loss: 0.2839
Epoch [92/100], Step[323/526], Loss: 0.6129
Epoch [92/100], Step[324/526], Loss: 0.6725
Epoch [92/100], Step[325/526], Loss: 0.5851
Epoch [92/100], Step[326/526], Loss: 0.7469
Epoch [92/100], Step[327/526], Loss: 0.7271
Epoch [92/100], Step[328/526], Loss: 0.9343
Epoch [92/100], Step[329/526], Loss: 1.2892
Epoch [92/100], Step[330/526], Loss: 1.0456
Epoch [92/100], Step[331/526], Loss: 0.7778
Epoch [92/100], Step[332/526], Loss: 0.8449
Epoch [92/100], Step[333/526], Loss: 0.7366
Epoch [92/100], Step[334/526], Loss: 0.7515
Epoch [92/100], Step[335/526], Loss: 0.7634
Epoch [92/100], Step[336/526], Loss: 0.6487
Epoch [92/100], Step[337/526], Loss: 0.5796
Epoch [92/100], Step[338/526], Loss: 0.7104
Epoch [92/100], Step[339/526], Loss: 0.6564
Epoch [92/100], Step[340/526], Loss: 0.7250
Epoch [92/100], Step[341/526], Loss: 0.7670
Epoch [92/100], Step[342/526], Loss: 0.7673
Epoch [92/100], Step[343/526], Loss: 0.5351
Epoch [92/100], Step[344/526], Loss: 0.7081
Epoch [92/100], Step[345/526], Loss: 0.6778
Epoch [92/100], Step[346/526], Loss: 0.6748
Epoch [92/100], Step[347/526], Loss: 0.7170
Epoch [92/100], Step[348/526], Loss: 0.6366
Epoch [92/100], Step[349/526], Loss: 0.5635
Epoch [92/100], Step[350/526], Loss: 0.6419
Epoch [92/100], Step[351/526], Loss: 0.6980
Epoch [92/100], Step[352/526], Loss: 0.6286
Epoch [92/100], Step[353/526], Loss: 0.6714
Epoch [92/100], Step[354/526], Loss: 0.6788
Epoch [92/100], Step[355/526], Loss: 0.6721
Epoch [92/100], Step[356/526], Loss: 0.6937
Epoch [92/100], Step[357/526], Loss: 0.6395
Epoch [92/100], Step[358/526], Loss: 0.7122
Epoch [92/100], Step[359/526], Loss: 0.6421
Epoch [92/100], Step[360/526], Loss: 0.6712
Epoch [92/100], Step[361/526], Loss: 0.7167
Epoch [92/100], Step[362/526], Loss: 0.6929
Epoch [92/100], Step[363/526], Loss: 0.7010
Epoch [92/100], Step[364/526], Loss: 0.7261
Epoch [92/100], Step[365/526], Loss: 0.7409
Epoch [92/100], Step[366/526], Loss: 0.6830
Epoch [92/100], Step[367/526], Loss: 0.6781
Epoch [92/100], Step[368/526], Loss: 0.6580
Epoch [92/100], Step[369/526], Loss: 0.6394
Epoch [92/100], Step[370/526], Loss: 0.6040
Epoch [92/100], Step[371/526], Loss: 0.7305
Epoch [92/100], Step[372/526], Loss: 0.6409
Epoch [92/100], Step[373/526], Loss: 0.6725
Epoch [92/100], Step[374/526], Loss: 0.6952
Epoch [92/100], Step[375/526], Loss: 0.6319
Epoch [92/100], Step[376/526], Loss: 0.6319
Epoch [92/100], Step[377/526], Loss: 0.6820
Epoch [92/100], Step[378/526], Loss: 0.6767
Epoch [92/100], Step[379/526], Loss: 0.7865
Epoch [92/100], Step[380/526], Loss: 0.5961
Epoch [92/100], Step[381/526], Loss: 0.5816
Epoch [92/100], Step[382/526], Loss: 0.6657
Epoch [92/100], Step[383/526], Loss: 0.6914
Epoch [92/100], Step[384/526], Loss: 0.6375
Epoch [92/100], Step[385/526], Loss: 0.6289
Epoch [92/100], Step[386/526], Loss: 0.6243
Epoch [92/100], Step[387/526], Loss: 0.6417
Epoch [92/100], Step[388/526], Loss: 0.5810
Epoch [92/100], Step[389/526], Loss: 0.7348
Epoch [92/100], Step[390/526], Loss: 0.5602
Epoch [92/100], Step[391/526], Loss: 0.6257
Epoch [92/100], Step[392/526], Loss: 0.7268
Epoch [92/100], Step[393/526], Loss: 0.5805
Epoch [92/100], Step[394/526], Loss: 0.5010
Epoch [92/100], Step[395/526], Loss: 0.5864
Epoch [92/100], Step[396/526], Loss: 0.6279
Epoch [92/100], Step[397/526], Loss: 0.4721
Epoch [92/100], Step[398/526], Loss: 0.6098
Epoch [92/100], Step[399/526], Loss: 0.6653
Epoch [92/100], Step[400/526], Loss: 0.4630
Epoch [92/100], Step[401/526], Loss: 0.6040
Epoch [92/100], Step[402/526], Loss: 0.6327
Epoch [92/100], Step[403/526], Loss: 0.7553
Epoch [92/100], Step[404/526], Loss: 0.4722
Epoch [92/100], Step[405/526], Loss: 0.4878
Epoch [92/100], Step[406/526], Loss: 0.6385
Epoch [92/100], Step[407/526], Loss: 0.7625
Epoch [92/100], Step[408/526], Loss: 0.6688
Epoch [92/100], Step[409/526], Loss: 0.4722
Epoch [92/100], Step[410/526], Loss: 0.5001
Epoch [92/100], Step[411/526], Loss: 0.5287
Epoch [92/100], Step[412/526], Loss: 0.5958
Epoch [92/100], Step[413/526], Loss: 0.6017
Epoch [92/100], Step[414/526], Loss: 0.6459
Epoch [92/100], Step[415/526], Loss: 0.6057
Epoch [92/100], Step[416/526], Loss: 0.5892
Epoch [92/100], Step[417/526], Loss: 0.4626
Epoch [92/100], Step[418/526], Loss: 0.7790
Epoch [92/100], Step[419/526], Loss: 0.6694
Epoch [92/100], Step[420/526], Loss: 0.6785
Epoch [92/100], Step[421/526], Loss: 0.6561
Epoch [92/100], Step[422/526], Loss: 0.7585
Epoch [92/100], Step[423/526], Loss: 0.7016
Epoch [92/100], Step[424/526], Loss: 0.7514
Epoch [92/100], Step[425/526], Loss: 0.7138
Epoch [92/100], Step[426/526], Loss: 0.7486
Epoch [92/100], Step[427/526], Loss: 0.7054
Epoch [92/100], Step[428/526], Loss: 0.7095
Epoch [92/100], Step[429/526], Loss: 0.7457
Epoch [92/100], Step[430/526], Loss: 0.7812
Epoch [92/100], Step[431/526], Loss: 0.7069
Epoch [92/100], Step[432/526], Loss: 0.7201
Epoch [92/100], Step[433/526], Loss: 0.6702
Epoch [92/100], Step[434/526], Loss: 0.6075
Epoch [92/100], Step[435/526], Loss: 0.7721
Epoch [92/100], Step[436/526], Loss: 0.8100
Epoch [92/100], Step[437/526], Loss: 0.4870
Epoch [92/100], Step[438/526], Loss: 0.3714
Epoch [92/100], Step[439/526], Loss: 0.7174
Epoch [92/100], Step[440/526], Loss: 0.6847
Epoch [92/100], Step[441/526], Loss: 0.6962
Epoch [92/100], Step[442/526], Loss: 0.6517
Epoch [92/100], Step[443/526], Loss: 0.6645
Epoch [92/100], Step[444/526], Loss: 0.7580
Epoch [92/100], Step[445/526], Loss: 0.7160
Epoch [92/100], Step[446/526], Loss: 0.6963
Epoch [92/100], Step[447/526], Loss: 0.7303
Epoch [92/100], Step[448/526], Loss: 0.7268
Epoch [92/100], Step[449/526], Loss: 0.6683
Epoch [92/100], Step[450/526], Loss: 0.5930
Epoch [92/100], Step[451/526], Loss: 0.6799
Epoch [92/100], Step[452/526], Loss: 0.7334
Epoch [92/100], Step[453/526], Loss: 0.7043
Epoch [92/100], Step[454/526], Loss: 0.8410
Epoch [92/100], Step[455/526], Loss: 0.6158
Epoch [92/100], Step[456/526], Loss: 0.6341
Epoch [92/100], Step[457/526], Loss: 0.7087
Epoch [92/100], Step[458/526], Loss: 0.6770
Epoch [92/100], Step[459/526], Loss: 0.6341
Epoch [92/100], Step[460/526], Loss: 0.6175
Epoch [92/100], Step[461/526], Loss: 0.5864
Epoch [92/100], Step[462/526], Loss: 0.6464
Epoch [92/100], Step[463/526], Loss: 0.6363
Epoch [92/100], Step[464/526], Loss: 0.6144
Epoch [92/100], Step[465/526], Loss: 0.6430
Epoch [92/100], Step[466/526], Loss: 0.6718
Epoch [92/100], Step[467/526], Loss: 0.6259
Epoch [92/100], Step[468/526], Loss: 0.5874
Epoch [92/100], Step[469/526], Loss: 0.8512
Epoch [92/100], Step[470/526], Loss: 0.6622
Epoch [92/100], Step[471/526], Loss: 0.6944
Epoch [92/100], Step[472/526], Loss: 0.6789
Epoch [92/100], Step[473/526], Loss: 0.6755
Epoch [92/100], Step[474/526], Loss: 0.6698
Epoch [92/100], Step[475/526], Loss: 0.8607
Epoch [92/100], Step[476/526], Loss: 0.7443
Epoch [92/100], Step[477/526], Loss: 0.6844
Epoch [92/100], Step[478/526], Loss: 0.6887
Epoch [92/100], Step[479/526], Loss: 0.6591
Epoch [92/100], Step[480/526], Loss: 0.7283
Epoch [92/100], Step[481/526], Loss: 0.7428
Epoch [92/100], Step[482/526], Loss: 0.6552
Epoch [92/100], Step[483/526], Loss: 0.5352
Epoch [92/100], Step[484/526], Loss: 0.7310
Epoch [92/100], Step[485/526], Loss: 0.7787
Epoch [92/100], Step[486/526], Loss: 0.7437
Epoch [92/100], Step[487/526], Loss: 0.7661
Epoch [92/100], Step[488/526], Loss: 0.6608
Epoch [92/100], Step[489/526], Loss: 0.6150
Epoch [92/100], Step[490/526], Loss: 0.5914
Epoch [92/100], Step[491/526], Loss: 0.6817
Epoch [92/100], Step[492/526], Loss: 0.6392
Epoch [92/100], Step[493/526], Loss: 0.6302
Epoch [92/100], Step[494/526], Loss: 0.6811
Epoch [92/100], Step[495/526], Loss: 0.6923
Epoch [92/100], Step[496/526], Loss: 0.6534
Epoch [92/100], Step[497/526], Loss: 0.6303
Epoch [92/100], Step[498/526], Loss: 0.6765
Epoch [92/100], Step[499/526], Loss: 0.6620
Epoch [92/100], Step[500/526], Loss: 0.7028
Epoch [92/100], Step[501/526], Loss: 0.6650
Epoch [92/100], Step[502/526], Loss: 0.6987
Epoch [92/100], Step[503/526], Loss: 0.7097
Epoch [92/100], Step[504/526], Loss: 0.7073
Epoch [92/100], Step[505/526], Loss: 0.7263
Epoch [92/100], Step[506/526], Loss: 0.6572
Epoch [92/100], Step[507/526], Loss: 0.6772
Epoch [92/100], Step[508/526], Loss: 0.7007
Epoch [92/100], Step[509/526], Loss: 0.6349
Epoch [92/100], Step[510/526], Loss: 0.7001
Epoch [92/100], Step[511/526], Loss: 0.6306
Epoch [92/100], Step[512/526], Loss: 0.6608
Epoch [92/100], Step[513/526], Loss: 0.6273
Epoch [92/100], Step[514/526], Loss: 0.6544
Epoch [92/100], Step[515/526], Loss: 0.5569
Epoch [92/100], Step[516/526], Loss: 0.7586
Epoch [92/100], Step[517/526], Loss: 0.6881
Epoch [92/100], Step[518/526], Loss: 0.7434
Epoch [92/100], Step[519/526], Loss: 0.7243
Epoch [92/100], Step[520/526], Loss: 0.6817
Epoch [92/100], Step[521/526], Loss: 0.6812
Epoch [92/100], Step[522/526], Loss: 0.5828
Epoch [92/100], Step[523/526], Loss: 0.6414
Epoch [92/100], Step[524/526], Loss: 0.6127
Epoch [92/100], Step[525/526], Loss: 0.7627
Epoch [92/100], Step[526/526], Loss: 0.7363
Epoch [93/100], Step[1/526], Loss: 0.6551
Epoch [93/100], Step[2/526], Loss: 0.6416
Epoch [93/100], Step[3/526], Loss: 0.6747
Epoch [93/100], Step[4/526], Loss: 0.6244
Epoch [93/100], Step[5/526], Loss: 0.7427
Epoch [93/100], Step[6/526], Loss: 0.7642
Epoch [93/100], Step[7/526], Loss: 0.6835
Epoch [93/100], Step[8/526], Loss: 0.6766
Epoch [93/100], Step[9/526], Loss: 0.6953
Epoch [93/100], Step[10/526], Loss: 0.6420
Epoch [93/100], Step[11/526], Loss: 0.7110
Epoch [93/100], Step[12/526], Loss: 0.7489
Epoch [93/100], Step[13/526], Loss: 0.6028
Epoch [93/100], Step[14/526], Loss: 0.6594
Epoch [93/100], Step[15/526], Loss: 0.6746
Epoch [93/100], Step[16/526], Loss: 0.7116
Epoch [93/100], Step[17/526], Loss: 0.7179
Epoch [93/100], Step[18/526], Loss: 0.6459
Epoch [93/100], Step[19/526], Loss: 0.6844
Epoch [93/100], Step[20/526], Loss: 0.7558
Epoch [93/100], Step[21/526], Loss: 0.7725
Epoch [93/100], Step[22/526], Loss: 0.7534
Epoch [93/100], Step[23/526], Loss: 0.7346
Epoch [93/100], Step[24/526], Loss: 0.7270
Epoch [93/100], Step[25/526], Loss: 0.6978
Epoch [93/100], Step[26/526], Loss: 0.6213
Epoch [93/100], Step[27/526], Loss: 0.6768
Epoch [93/100], Step[28/526], Loss: 0.6939
Epoch [93/100], Step[29/526], Loss: 0.6447
Epoch [93/100], Step[30/526], Loss: 0.6981
Epoch [93/100], Step[31/526], Loss: 0.7104
Epoch [93/100], Step[32/526], Loss: 0.6760
Epoch [93/100], Step[33/526], Loss: 0.7144
Epoch [93/100], Step[34/526], Loss: 0.7042
Epoch [93/100], Step[35/526], Loss: 0.7309
Epoch [93/100], Step[36/526], Loss: 0.7097
Epoch [93/100], Step[37/526], Loss: 0.6889
Epoch [93/100], Step[38/526], Loss: 0.7197
Epoch [93/100], Step[39/526], Loss: 0.6803
Epoch [93/100], Step[40/526], Loss: 0.7026
Epoch [93/100], Step[41/526], Loss: 0.6666
Epoch [93/100], Step[42/526], Loss: 0.7278
Epoch [93/100], Step[43/526], Loss: 0.7132
Epoch [93/100], Step[44/526], Loss: 0.6960
Epoch [93/100], Step[45/526], Loss: 0.7004
Epoch [93/100], Step[46/526], Loss: 0.6790
Epoch [93/100], Step[47/526], Loss: 0.6899
Epoch [93/100], Step[48/526], Loss: 0.7182
Epoch [93/100], Step[49/526], Loss: 0.7031
Epoch [93/100], Step[50/526], Loss: 0.7006
Epoch [93/100], Step[51/526], Loss: 0.7018
Epoch [93/100], Step[52/526], Loss: 0.6778
Epoch [93/100], Step[53/526], Loss: 0.7195
Epoch [93/100], Step[54/526], Loss: 0.6983
Epoch [93/100], Step[55/526], Loss: 0.6914
Epoch [93/100], Step[56/526], Loss: 0.6801
Epoch [93/100], Step[57/526], Loss: 0.6859
Epoch [93/100], Step[58/526], Loss: 0.6692
Epoch [93/100], Step[59/526], Loss: 0.6589
Epoch [93/100], Step[60/526], Loss: 0.6581
Epoch [93/100], Step[61/526], Loss: 0.6548
Epoch [93/100], Step[62/526], Loss: 0.7064
Epoch [93/100], Step[63/526], Loss: 0.6824
Epoch [93/100], Step[64/526], Loss: 0.6769
Epoch [93/100], Step[65/526], Loss: 0.7224
Epoch [93/100], Step[66/526], Loss: 0.6814
Epoch [93/100], Step[67/526], Loss: 0.6373
Epoch [93/100], Step[68/526], Loss: 0.6564
Epoch [93/100], Step[69/526], Loss: 0.6864
Epoch [93/100], Step[70/526], Loss: 0.6749
Epoch [93/100], Step[71/526], Loss: 0.6603
Epoch [93/100], Step[72/526], Loss: 0.6875
Epoch [93/100], Step[73/526], Loss: 0.7157
Epoch [93/100], Step[74/526], Loss: 0.6577
Epoch [93/100], Step[75/526], Loss: 0.7060
Epoch [93/100], Step[76/526], Loss: 0.6969
Epoch [93/100], Step[77/526], Loss: 0.7042
Epoch [93/100], Step[78/526], Loss: 0.7018
Epoch [93/100], Step[79/526], Loss: 0.7001
Epoch [93/100], Step[80/526], Loss: 0.7037
Epoch [93/100], Step[81/526], Loss: 0.7024
Epoch [93/100], Step[82/526], Loss: 0.7275
Epoch [93/100], Step[83/526], Loss: 0.7021
Epoch [93/100], Step[84/526], Loss: 0.6837
Epoch [93/100], Step[85/526], Loss: 0.6617
Epoch [93/100], Step[86/526], Loss: 0.6807
Epoch [93/100], Step[87/526], Loss: 0.6896
Epoch [93/100], Step[88/526], Loss: 0.6935
Epoch [93/100], Step[89/526], Loss: 0.7307
Epoch [93/100], Step[90/526], Loss: 0.6705
Epoch [93/100], Step[91/526], Loss: 0.6894
Epoch [93/100], Step[92/526], Loss: 0.6754
Epoch [93/100], Step[93/526], Loss: 0.6980
Epoch [93/100], Step[94/526], Loss: 0.8057
Epoch [93/100], Step[95/526], Loss: 0.7228
Epoch [93/100], Step[96/526], Loss: 0.6222
Epoch [93/100], Step[97/526], Loss: 0.5801
Epoch [93/100], Step[98/526], Loss: 0.6834
Epoch [93/100], Step[99/526], Loss: 0.6855
Epoch [93/100], Step[100/526], Loss: 0.6415
Epoch [93/100], Step[101/526], Loss: 0.6645
Epoch [93/100], Step[102/526], Loss: 0.6258
Epoch [93/100], Step[103/526], Loss: 0.7282
Epoch [93/100], Step[104/526], Loss: 0.6542
Epoch [93/100], Step[105/526], Loss: 0.6113
Epoch [93/100], Step[106/526], Loss: 0.6854
Epoch [93/100], Step[107/526], Loss: 0.6090
Epoch [93/100], Step[108/526], Loss: 0.5864
Epoch [93/100], Step[109/526], Loss: 0.6549
Epoch [93/100], Step[110/526], Loss: 0.6808
Epoch [93/100], Step[111/526], Loss: 0.6054
Epoch [93/100], Step[112/526], Loss: 0.7246
Epoch [93/100], Step[113/526], Loss: 0.6065
Epoch [93/100], Step[114/526], Loss: 0.6442
Epoch [93/100], Step[115/526], Loss: 0.5923
Epoch [93/100], Step[116/526], Loss: 0.6348
Epoch [93/100], Step[117/526], Loss: 0.6953
Epoch [93/100], Step[118/526], Loss: 0.7657
Epoch [93/100], Step[119/526], Loss: 0.6796
Epoch [93/100], Step[120/526], Loss: 0.6671
Epoch [93/100], Step[121/526], Loss: 0.6920
Epoch [93/100], Step[122/526], Loss: 0.6063
Epoch [93/100], Step[123/526], Loss: 0.6559
Epoch [93/100], Step[124/526], Loss: 0.6675
Epoch [93/100], Step[125/526], Loss: 0.6355
Epoch [93/100], Step[126/526], Loss: 0.7148
Epoch [93/100], Step[127/526], Loss: 0.6679
Epoch [93/100], Step[128/526], Loss: 0.6222
Epoch [93/100], Step[129/526], Loss: 0.6075
Epoch [93/100], Step[130/526], Loss: 0.6386
Epoch [93/100], Step[131/526], Loss: 0.6736
Epoch [93/100], Step[132/526], Loss: 0.7195
Epoch [93/100], Step[133/526], Loss: 0.6726
Epoch [93/100], Step[134/526], Loss: 0.6311
Epoch [93/100], Step[135/526], Loss: 0.6407
Epoch [93/100], Step[136/526], Loss: 0.5589
Epoch [93/100], Step[137/526], Loss: 0.6548
Epoch [93/100], Step[138/526], Loss: 0.6604
Epoch [93/100], Step[139/526], Loss: 0.6943
Epoch [93/100], Step[140/526], Loss: 0.5841
Epoch [93/100], Step[141/526], Loss: 0.6560
Epoch [93/100], Step[142/526], Loss: 0.6750
Epoch [93/100], Step[143/526], Loss: 0.6986
Epoch [93/100], Step[144/526], Loss: 0.7695
Epoch [93/100], Step[145/526], Loss: 0.5239
Epoch [93/100], Step[146/526], Loss: 0.5041
Epoch [93/100], Step[147/526], Loss: 0.4738
Epoch [93/100], Step[148/526], Loss: 0.5948
Epoch [93/100], Step[149/526], Loss: 0.5077
Epoch [93/100], Step[150/526], Loss: 0.5522
Epoch [93/100], Step[151/526], Loss: 0.5467
Epoch [93/100], Step[152/526], Loss: 0.6272
Epoch [93/100], Step[153/526], Loss: 0.6483
Epoch [93/100], Step[154/526], Loss: 0.6993
Epoch [93/100], Step[155/526], Loss: 0.7081
Epoch [93/100], Step[156/526], Loss: 0.5430
Epoch [93/100], Step[157/526], Loss: 0.2820
Epoch [93/100], Step[158/526], Loss: 0.5911
Epoch [93/100], Step[159/526], Loss: 0.6558
Epoch [93/100], Step[160/526], Loss: 0.5611
Epoch [93/100], Step[161/526], Loss: 0.8016
Epoch [93/100], Step[162/526], Loss: 0.7129
Epoch [93/100], Step[163/526], Loss: 0.7239
Epoch [93/100], Step[164/526], Loss: 0.6248
Epoch [93/100], Step[165/526], Loss: 0.7306
Epoch [93/100], Step[166/526], Loss: 0.5309
Epoch [93/100], Step[167/526], Loss: 0.5633
Epoch [93/100], Step[168/526], Loss: 0.6818
Epoch [93/100], Step[169/526], Loss: 0.7382
Epoch [93/100], Step[170/526], Loss: 0.7025
Epoch [93/100], Step[171/526], Loss: 0.7324
Epoch [93/100], Step[172/526], Loss: 0.7127
Epoch [93/100], Step[173/526], Loss: 0.8123
Epoch [93/100], Step[174/526], Loss: 0.6260
Epoch [93/100], Step[175/526], Loss: 0.6769
Epoch [93/100], Step[176/526], Loss: 0.6114
Epoch [93/100], Step[177/526], Loss: 0.6674
Epoch [93/100], Step[178/526], Loss: 0.6882
Epoch [93/100], Step[179/526], Loss: 0.6173
Epoch [93/100], Step[180/526], Loss: 0.6779
Epoch [93/100], Step[181/526], Loss: 0.6519
Epoch [93/100], Step[182/526], Loss: 0.6645
Epoch [93/100], Step[183/526], Loss: 0.5473
Epoch [93/100], Step[184/526], Loss: 0.6139
Epoch [93/100], Step[185/526], Loss: 0.6162
Epoch [93/100], Step[186/526], Loss: 0.6334
Epoch [93/100], Step[187/526], Loss: 0.7516
Epoch [93/100], Step[188/526], Loss: 0.6914
Epoch [93/100], Step[189/526], Loss: 0.6618
Epoch [93/100], Step[190/526], Loss: 0.7032
Epoch [93/100], Step[191/526], Loss: 0.6908
Epoch [93/100], Step[192/526], Loss: 0.8351
Epoch [93/100], Step[193/526], Loss: 0.6483
Epoch [93/100], Step[194/526], Loss: 0.6110
Epoch [93/100], Step[195/526], Loss: 0.6512
Epoch [93/100], Step[196/526], Loss: 0.7236
Epoch [93/100], Step[197/526], Loss: 0.6790
Epoch [93/100], Step[198/526], Loss: 0.6268
Epoch [93/100], Step[199/526], Loss: 0.7484
Epoch [93/100], Step[200/526], Loss: 0.6813
Epoch [93/100], Step[201/526], Loss: 0.6746
Epoch [93/100], Step[202/526], Loss: 0.7399
Epoch [93/100], Step[203/526], Loss: 0.7071
Epoch [93/100], Step[204/526], Loss: 0.7100
Epoch [93/100], Step[205/526], Loss: 0.6881
Epoch [93/100], Step[206/526], Loss: 0.6835
Epoch [93/100], Step[207/526], Loss: 0.7105
Epoch [93/100], Step[208/526], Loss: 0.6823
Epoch [93/100], Step[209/526], Loss: 0.6791
Epoch [93/100], Step[210/526], Loss: 0.7530
Epoch [93/100], Step[211/526], Loss: 0.6309
Epoch [93/100], Step[212/526], Loss: 0.6861
Epoch [93/100], Step[213/526], Loss: 0.7182
Epoch [93/100], Step[214/526], Loss: 0.7194
Epoch [93/100], Step[215/526], Loss: 0.6908
Epoch [93/100], Step[216/526], Loss: 0.6747
Epoch [93/100], Step[217/526], Loss: 0.6522
Epoch [93/100], Step[218/526], Loss: 0.6985
Epoch [93/100], Step[219/526], Loss: 0.6940
Epoch [93/100], Step[220/526], Loss: 0.7165
Epoch [93/100], Step[221/526], Loss: 0.6931
Epoch [93/100], Step[222/526], Loss: 0.7292
Epoch [93/100], Step[223/526], Loss: 0.6297
Epoch [93/100], Step[224/526], Loss: 0.6568
Epoch [93/100], Step[225/526], Loss: 0.7059
Epoch [93/100], Step[226/526], Loss: 0.6624
Epoch [93/100], Step[227/526], Loss: 0.6561
Epoch [93/100], Step[228/526], Loss: 0.6723
Epoch [93/100], Step[229/526], Loss: 0.6873
Epoch [93/100], Step[230/526], Loss: 0.6480
Epoch [93/100], Step[231/526], Loss: 0.6520
Epoch [93/100], Step[232/526], Loss: 0.6810
Epoch [93/100], Step[233/526], Loss: 0.6805
Epoch [93/100], Step[234/526], Loss: 0.6109
Epoch [93/100], Step[235/526], Loss: 0.6697
Epoch [93/100], Step[236/526], Loss: 0.6729
Epoch [93/100], Step[237/526], Loss: 0.7200
Epoch [93/100], Step[238/526], Loss: 0.6041
Epoch [93/100], Step[239/526], Loss: 0.6039
Epoch [93/100], Step[240/526], Loss: 0.6402
Epoch [93/100], Step[241/526], Loss: 0.6146
Epoch [93/100], Step[242/526], Loss: 0.5877
Epoch [93/100], Step[243/526], Loss: 0.5956
Epoch [93/100], Step[244/526], Loss: 0.5403
Epoch [93/100], Step[245/526], Loss: 0.5871
Epoch [93/100], Step[246/526], Loss: 0.6520
Epoch [93/100], Step[247/526], Loss: 0.4967
Epoch [93/100], Step[248/526], Loss: 0.5587
Epoch [93/100], Step[249/526], Loss: 0.8324
Epoch [93/100], Step[250/526], Loss: 0.8036
Epoch [93/100], Step[251/526], Loss: 0.6931
Epoch [93/100], Step[252/526], Loss: 0.6910
Epoch [93/100], Step[253/526], Loss: 0.6121
Epoch [93/100], Step[254/526], Loss: 0.6887
Epoch [93/100], Step[255/526], Loss: 0.5961
Epoch [93/100], Step[256/526], Loss: 0.6567
Epoch [93/100], Step[257/526], Loss: 0.5667
Epoch [93/100], Step[258/526], Loss: 0.6137
Epoch [93/100], Step[259/526], Loss: 0.7078
Epoch [93/100], Step[260/526], Loss: 0.6852
Epoch [93/100], Step[261/526], Loss: 0.7464
Epoch [93/100], Step[262/526], Loss: 0.5578
Epoch [93/100], Step[263/526], Loss: 0.6316
Epoch [93/100], Step[264/526], Loss: 0.5920
Epoch [93/100], Step[265/526], Loss: 0.3370
Epoch [93/100], Step[266/526], Loss: 0.3360
Epoch [93/100], Step[267/526], Loss: 0.4633
Epoch [93/100], Step[268/526], Loss: 0.5736
Epoch [93/100], Step[269/526], Loss: 0.4786
Epoch [93/100], Step[270/526], Loss: 0.4205
Epoch [93/100], Step[271/526], Loss: 0.5648
Epoch [93/100], Step[272/526], Loss: 0.5592
Epoch [93/100], Step[273/526], Loss: 0.6520
Epoch [93/100], Step[274/526], Loss: 0.4506
Epoch [93/100], Step[275/526], Loss: 0.4110
Epoch [93/100], Step[276/526], Loss: 0.4898
Epoch [93/100], Step[277/526], Loss: 0.3875
Epoch [93/100], Step[278/526], Loss: 0.4852
Epoch [93/100], Step[279/526], Loss: 0.4636
Epoch [93/100], Step[280/526], Loss: 0.5139
Epoch [93/100], Step[281/526], Loss: 0.6974
Epoch [93/100], Step[282/526], Loss: 0.4305
Epoch [93/100], Step[283/526], Loss: 0.3720
Epoch [93/100], Step[284/526], Loss: 0.4588
Epoch [93/100], Step[285/526], Loss: 0.3020
Epoch [93/100], Step[286/526], Loss: 0.7287
Epoch [93/100], Step[287/526], Loss: 0.5137
Epoch [93/100], Step[288/526], Loss: 0.4100
Epoch [93/100], Step[289/526], Loss: 0.6022
Epoch [93/100], Step[290/526], Loss: 0.4496
Epoch [93/100], Step[291/526], Loss: 0.4587
Epoch [93/100], Step[292/526], Loss: 0.2967
Epoch [93/100], Step[293/526], Loss: 0.3151
Epoch [93/100], Step[294/526], Loss: 0.3555
Epoch [93/100], Step[295/526], Loss: 0.4533
Epoch [93/100], Step[296/526], Loss: 0.6035
Epoch [93/100], Step[297/526], Loss: 0.3562
Epoch [93/100], Step[298/526], Loss: 0.3143
Epoch [93/100], Step[299/526], Loss: 0.2598
Epoch [93/100], Step[300/526], Loss: 0.2745
Epoch [93/100], Step[301/526], Loss: 0.6386
Epoch [93/100], Step[302/526], Loss: 0.3902
Epoch [93/100], Step[303/526], Loss: 0.4344
Epoch [93/100], Step[304/526], Loss: 0.2675
Epoch [93/100], Step[305/526], Loss: 0.2829
Epoch [93/100], Step[306/526], Loss: 0.5746
Epoch [93/100], Step[307/526], Loss: 0.9026
Epoch [93/100], Step[308/526], Loss: 1.3191
Epoch [93/100], Step[309/526], Loss: 0.9366
Epoch [93/100], Step[310/526], Loss: 0.9047
Epoch [93/100], Step[311/526], Loss: 0.8043
Epoch [93/100], Step[312/526], Loss: 0.4777
Epoch [93/100], Step[313/526], Loss: 0.4473
Epoch [93/100], Step[314/526], Loss: 0.6078
Epoch [93/100], Step[315/526], Loss: 0.7590
Epoch [93/100], Step[316/526], Loss: 0.4948
Epoch [93/100], Step[317/526], Loss: 0.3295
Epoch [93/100], Step[318/526], Loss: 0.7829
Epoch [93/100], Step[319/526], Loss: 0.3622
Epoch [93/100], Step[320/526], Loss: 0.6484
Epoch [93/100], Step[321/526], Loss: 0.7476
Epoch [93/100], Step[322/526], Loss: 0.2806
Epoch [93/100], Step[323/526], Loss: 0.6153
Epoch [93/100], Step[324/526], Loss: 0.6733
Epoch [93/100], Step[325/526], Loss: 0.5843
Epoch [93/100], Step[326/526], Loss: 0.7523
Epoch [93/100], Step[327/526], Loss: 0.7249
Epoch [93/100], Step[328/526], Loss: 0.9346
Epoch [93/100], Step[329/526], Loss: 1.2946
Epoch [93/100], Step[330/526], Loss: 1.0496
Epoch [93/100], Step[331/526], Loss: 0.7797
Epoch [93/100], Step[332/526], Loss: 0.8560
Epoch [93/100], Step[333/526], Loss: 0.7385
Epoch [93/100], Step[334/526], Loss: 0.7548
Epoch [93/100], Step[335/526], Loss: 0.7638
Epoch [93/100], Step[336/526], Loss: 0.6538
Epoch [93/100], Step[337/526], Loss: 0.5796
Epoch [93/100], Step[338/526], Loss: 0.7106
Epoch [93/100], Step[339/526], Loss: 0.6493
Epoch [93/100], Step[340/526], Loss: 0.7253
Epoch [93/100], Step[341/526], Loss: 0.7659
Epoch [93/100], Step[342/526], Loss: 0.7689
Epoch [93/100], Step[343/526], Loss: 0.5350
Epoch [93/100], Step[344/526], Loss: 0.7078
Epoch [93/100], Step[345/526], Loss: 0.6794
Epoch [93/100], Step[346/526], Loss: 0.6794
Epoch [93/100], Step[347/526], Loss: 0.7179
Epoch [93/100], Step[348/526], Loss: 0.6364
Epoch [93/100], Step[349/526], Loss: 0.5634
Epoch [93/100], Step[350/526], Loss: 0.6434
Epoch [93/100], Step[351/526], Loss: 0.6986
Epoch [93/100], Step[352/526], Loss: 0.6194
Epoch [93/100], Step[353/526], Loss: 0.6722
Epoch [93/100], Step[354/526], Loss: 0.6793
Epoch [93/100], Step[355/526], Loss: 0.6715
Epoch [93/100], Step[356/526], Loss: 0.6939
Epoch [93/100], Step[357/526], Loss: 0.6399
Epoch [93/100], Step[358/526], Loss: 0.7126
Epoch [93/100], Step[359/526], Loss: 0.6404
Epoch [93/100], Step[360/526], Loss: 0.6723
Epoch [93/100], Step[361/526], Loss: 0.7166
Epoch [93/100], Step[362/526], Loss: 0.6929
Epoch [93/100], Step[363/526], Loss: 0.7007
Epoch [93/100], Step[364/526], Loss: 0.7249
Epoch [93/100], Step[365/526], Loss: 0.7367
Epoch [93/100], Step[366/526], Loss: 0.6826
Epoch [93/100], Step[367/526], Loss: 0.6784
Epoch [93/100], Step[368/526], Loss: 0.6579
Epoch [93/100], Step[369/526], Loss: 0.6398
Epoch [93/100], Step[370/526], Loss: 0.7151
Epoch [93/100], Step[371/526], Loss: 0.7292
Epoch [93/100], Step[372/526], Loss: 0.6414
Epoch [93/100], Step[373/526], Loss: 0.6725
Epoch [93/100], Step[374/526], Loss: 0.6951
Epoch [93/100], Step[375/526], Loss: 0.6316
Epoch [93/100], Step[376/526], Loss: 0.6282
Epoch [93/100], Step[377/526], Loss: 0.6812
Epoch [93/100], Step[378/526], Loss: 0.6767
Epoch [93/100], Step[379/526], Loss: 0.7875
Epoch [93/100], Step[380/526], Loss: 0.5964
Epoch [93/100], Step[381/526], Loss: 0.5807
Epoch [93/100], Step[382/526], Loss: 0.6653
Epoch [93/100], Step[383/526], Loss: 0.6920
Epoch [93/100], Step[384/526], Loss: 0.6373
Epoch [93/100], Step[385/526], Loss: 0.6296
Epoch [93/100], Step[386/526], Loss: 0.6243
Epoch [93/100], Step[387/526], Loss: 0.6544
Epoch [93/100], Step[388/526], Loss: 0.5796
Epoch [93/100], Step[389/526], Loss: 0.7372
Epoch [93/100], Step[390/526], Loss: 0.5596
Epoch [93/100], Step[391/526], Loss: 0.6253
Epoch [93/100], Step[392/526], Loss: 0.7262
Epoch [93/100], Step[393/526], Loss: 0.5807
Epoch [93/100], Step[394/526], Loss: 0.5015
Epoch [93/100], Step[395/526], Loss: 0.5894
Epoch [93/100], Step[396/526], Loss: 0.6288
Epoch [93/100], Step[397/526], Loss: 0.4725
Epoch [93/100], Step[398/526], Loss: 0.6100
Epoch [93/100], Step[399/526], Loss: 0.6659
Epoch [93/100], Step[400/526], Loss: 0.4637
Epoch [93/100], Step[401/526], Loss: 0.6044
Epoch [93/100], Step[402/526], Loss: 0.6336
Epoch [93/100], Step[403/526], Loss: 0.7280
Epoch [93/100], Step[404/526], Loss: 0.4726
Epoch [93/100], Step[405/526], Loss: 0.4888
Epoch [93/100], Step[406/526], Loss: 0.6388
Epoch [93/100], Step[407/526], Loss: 0.7621
Epoch [93/100], Step[408/526], Loss: 0.6590
Epoch [93/100], Step[409/526], Loss: 0.4707
Epoch [93/100], Step[410/526], Loss: 0.5009
Epoch [93/100], Step[411/526], Loss: 0.5301
Epoch [93/100], Step[412/526], Loss: 0.5963
Epoch [93/100], Step[413/526], Loss: 0.6031
Epoch [93/100], Step[414/526], Loss: 0.6457
Epoch [93/100], Step[415/526], Loss: 0.6058
Epoch [93/100], Step[416/526], Loss: 0.5890
Epoch [93/100], Step[417/526], Loss: 0.4781
Epoch [93/100], Step[418/526], Loss: 0.7773
Epoch [93/100], Step[419/526], Loss: 0.6693
Epoch [93/100], Step[420/526], Loss: 0.6777
Epoch [93/100], Step[421/526], Loss: 0.6567
Epoch [93/100], Step[422/526], Loss: 0.7570
Epoch [93/100], Step[423/526], Loss: 0.7016
Epoch [93/100], Step[424/526], Loss: 0.7501
Epoch [93/100], Step[425/526], Loss: 0.7135
Epoch [93/100], Step[426/526], Loss: 0.7478
Epoch [93/100], Step[427/526], Loss: 0.7060
Epoch [93/100], Step[428/526], Loss: 0.7097
Epoch [93/100], Step[429/526], Loss: 0.7453
Epoch [93/100], Step[430/526], Loss: 0.7791
Epoch [93/100], Step[431/526], Loss: 0.7068
Epoch [93/100], Step[432/526], Loss: 0.7196
Epoch [93/100], Step[433/526], Loss: 0.6725
Epoch [93/100], Step[434/526], Loss: 0.6078
Epoch [93/100], Step[435/526], Loss: 0.7723
Epoch [93/100], Step[436/526], Loss: 0.8072
Epoch [93/100], Step[437/526], Loss: 0.4904
Epoch [93/100], Step[438/526], Loss: 0.3709
Epoch [93/100], Step[439/526], Loss: 0.7170
Epoch [93/100], Step[440/526], Loss: 0.6851
Epoch [93/100], Step[441/526], Loss: 0.6933
Epoch [93/100], Step[442/526], Loss: 0.6548
Epoch [93/100], Step[443/526], Loss: 0.6645
Epoch [93/100], Step[444/526], Loss: 0.7577
Epoch [93/100], Step[445/526], Loss: 0.7156
Epoch [93/100], Step[446/526], Loss: 0.6946
Epoch [93/100], Step[447/526], Loss: 0.7284
Epoch [93/100], Step[448/526], Loss: 0.7270
Epoch [93/100], Step[449/526], Loss: 0.6681
Epoch [93/100], Step[450/526], Loss: 0.5927
Epoch [93/100], Step[451/526], Loss: 0.6800
Epoch [93/100], Step[452/526], Loss: 0.7324
Epoch [93/100], Step[453/526], Loss: 0.7039
Epoch [93/100], Step[454/526], Loss: 0.8396
Epoch [93/100], Step[455/526], Loss: 0.6158
Epoch [93/100], Step[456/526], Loss: 0.6424
Epoch [93/100], Step[457/526], Loss: 0.7077
Epoch [93/100], Step[458/526], Loss: 0.6741
Epoch [93/100], Step[459/526], Loss: 0.6335
Epoch [93/100], Step[460/526], Loss: 0.6151
Epoch [93/100], Step[461/526], Loss: 0.5865
Epoch [93/100], Step[462/526], Loss: 0.6461
Epoch [93/100], Step[463/526], Loss: 0.6358
Epoch [93/100], Step[464/526], Loss: 0.6139
Epoch [93/100], Step[465/526], Loss: 0.6428
Epoch [93/100], Step[466/526], Loss: 0.6703
Epoch [93/100], Step[467/526], Loss: 0.6259
Epoch [93/100], Step[468/526], Loss: 0.5878
Epoch [93/100], Step[469/526], Loss: 0.8521
Epoch [93/100], Step[470/526], Loss: 0.6624
Epoch [93/100], Step[471/526], Loss: 0.6978
Epoch [93/100], Step[472/526], Loss: 0.6790
Epoch [93/100], Step[473/526], Loss: 0.6766
Epoch [93/100], Step[474/526], Loss: 0.6696
Epoch [93/100], Step[475/526], Loss: 0.8590
Epoch [93/100], Step[476/526], Loss: 0.7446
Epoch [93/100], Step[477/526], Loss: 0.6835
Epoch [93/100], Step[478/526], Loss: 0.6895
Epoch [93/100], Step[479/526], Loss: 0.6593
Epoch [93/100], Step[480/526], Loss: 0.7277
Epoch [93/100], Step[481/526], Loss: 0.7419
Epoch [93/100], Step[482/526], Loss: 0.6551
Epoch [93/100], Step[483/526], Loss: 0.5352
Epoch [93/100], Step[484/526], Loss: 0.7271
Epoch [93/100], Step[485/526], Loss: 0.7803
Epoch [93/100], Step[486/526], Loss: 0.7436
Epoch [93/100], Step[487/526], Loss: 0.7656
Epoch [93/100], Step[488/526], Loss: 0.6586
Epoch [93/100], Step[489/526], Loss: 0.6143
Epoch [93/100], Step[490/526], Loss: 0.5914
Epoch [93/100], Step[491/526], Loss: 0.6810
Epoch [93/100], Step[492/526], Loss: 0.6384
Epoch [93/100], Step[493/526], Loss: 0.6297
Epoch [93/100], Step[494/526], Loss: 0.6809
Epoch [93/100], Step[495/526], Loss: 0.6914
Epoch [93/100], Step[496/526], Loss: 0.6530
Epoch [93/100], Step[497/526], Loss: 0.6295
Epoch [93/100], Step[498/526], Loss: 0.6766
Epoch [93/100], Step[499/526], Loss: 0.6619
Epoch [93/100], Step[500/526], Loss: 0.7080
Epoch [93/100], Step[501/526], Loss: 0.6650
Epoch [93/100], Step[502/526], Loss: 0.7018
Epoch [93/100], Step[503/526], Loss: 0.7101
Epoch [93/100], Step[504/526], Loss: 0.7114
Epoch [93/100], Step[505/526], Loss: 0.7265
Epoch [93/100], Step[506/526], Loss: 0.6539
Epoch [93/100], Step[507/526], Loss: 0.6771
Epoch [93/100], Step[508/526], Loss: 0.6997
Epoch [93/100], Step[509/526], Loss: 0.6334
Epoch [93/100], Step[510/526], Loss: 0.7006
Epoch [93/100], Step[511/526], Loss: 0.6303
Epoch [93/100], Step[512/526], Loss: 0.6608
Epoch [93/100], Step[513/526], Loss: 0.6255
Epoch [93/100], Step[514/526], Loss: 0.6537
Epoch [93/100], Step[515/526], Loss: 0.5567
Epoch [93/100], Step[516/526], Loss: 0.7577
Epoch [93/100], Step[517/526], Loss: 0.6887
Epoch [93/100], Step[518/526], Loss: 0.7428
Epoch [93/100], Step[519/526], Loss: 0.7243
Epoch [93/100], Step[520/526], Loss: 0.6824
Epoch [93/100], Step[521/526], Loss: 0.6837
Epoch [93/100], Step[522/526], Loss: 0.5831
Epoch [93/100], Step[523/526], Loss: 0.6416
Epoch [93/100], Step[524/526], Loss: 0.6141
Epoch [93/100], Step[525/526], Loss: 0.7617
Epoch [93/100], Step[526/526], Loss: 0.7304
Epoch [94/100], Step[1/526], Loss: 0.6555
Epoch [94/100], Step[2/526], Loss: 0.6429
Epoch [94/100], Step[3/526], Loss: 0.6752
Epoch [94/100], Step[4/526], Loss: 0.6264
Epoch [94/100], Step[5/526], Loss: 0.7433
Epoch [94/100], Step[6/526], Loss: 0.7598
Epoch [94/100], Step[7/526], Loss: 0.6835
Epoch [94/100], Step[8/526], Loss: 0.6763
Epoch [94/100], Step[9/526], Loss: 0.6952
Epoch [94/100], Step[10/526], Loss: 0.6422
Epoch [94/100], Step[11/526], Loss: 0.7064
Epoch [94/100], Step[12/526], Loss: 0.7485
Epoch [94/100], Step[13/526], Loss: 0.6030
Epoch [94/100], Step[14/526], Loss: 0.6578
Epoch [94/100], Step[15/526], Loss: 0.6746
Epoch [94/100], Step[16/526], Loss: 0.7110
Epoch [94/100], Step[17/526], Loss: 0.7183
Epoch [94/100], Step[18/526], Loss: 0.6425
Epoch [94/100], Step[19/526], Loss: 0.6808
Epoch [94/100], Step[20/526], Loss: 0.7587
Epoch [94/100], Step[21/526], Loss: 0.7747
Epoch [94/100], Step[22/526], Loss: 0.7530
Epoch [94/100], Step[23/526], Loss: 0.7349
Epoch [94/100], Step[24/526], Loss: 0.7266
Epoch [94/100], Step[25/526], Loss: 0.6973
Epoch [94/100], Step[26/526], Loss: 0.6206
Epoch [94/100], Step[27/526], Loss: 0.6773
Epoch [94/100], Step[28/526], Loss: 0.6954
Epoch [94/100], Step[29/526], Loss: 0.6442
Epoch [94/100], Step[30/526], Loss: 0.6986
Epoch [94/100], Step[31/526], Loss: 0.7098
Epoch [94/100], Step[32/526], Loss: 0.6747
Epoch [94/100], Step[33/526], Loss: 0.7146
Epoch [94/100], Step[34/526], Loss: 0.7039
Epoch [94/100], Step[35/526], Loss: 0.7304
Epoch [94/100], Step[36/526], Loss: 0.7073
Epoch [94/100], Step[37/526], Loss: 0.6897
Epoch [94/100], Step[38/526], Loss: 0.7193
Epoch [94/100], Step[39/526], Loss: 0.6812
Epoch [94/100], Step[40/526], Loss: 0.7025
Epoch [94/100], Step[41/526], Loss: 0.6660
Epoch [94/100], Step[42/526], Loss: 0.7276
Epoch [94/100], Step[43/526], Loss: 0.7134
Epoch [94/100], Step[44/526], Loss: 0.6955
Epoch [94/100], Step[45/526], Loss: 0.7004
Epoch [94/100], Step[46/526], Loss: 0.6784
Epoch [94/100], Step[47/526], Loss: 0.6902
Epoch [94/100], Step[48/526], Loss: 0.7186
Epoch [94/100], Step[49/526], Loss: 0.7026
Epoch [94/100], Step[50/526], Loss: 0.6999
Epoch [94/100], Step[51/526], Loss: 0.7014
Epoch [94/100], Step[52/526], Loss: 0.6781
Epoch [94/100], Step[53/526], Loss: 0.7193
Epoch [94/100], Step[54/526], Loss: 0.6986
Epoch [94/100], Step[55/526], Loss: 0.6917
Epoch [94/100], Step[56/526], Loss: 0.6803
Epoch [94/100], Step[57/526], Loss: 0.6859
Epoch [94/100], Step[58/526], Loss: 0.6692
Epoch [94/100], Step[59/526], Loss: 0.6589
Epoch [94/100], Step[60/526], Loss: 0.6582
Epoch [94/100], Step[61/526], Loss: 0.6558
Epoch [94/100], Step[62/526], Loss: 0.7064
Epoch [94/100], Step[63/526], Loss: 0.6829
Epoch [94/100], Step[64/526], Loss: 0.6768
Epoch [94/100], Step[65/526], Loss: 0.7219
Epoch [94/100], Step[66/526], Loss: 0.6810
Epoch [94/100], Step[67/526], Loss: 0.6380
Epoch [94/100], Step[68/526], Loss: 0.6560
Epoch [94/100], Step[69/526], Loss: 0.6863
Epoch [94/100], Step[70/526], Loss: 0.6749
Epoch [94/100], Step[71/526], Loss: 0.6610
Epoch [94/100], Step[72/526], Loss: 0.6880
Epoch [94/100], Step[73/526], Loss: 0.7156
Epoch [94/100], Step[74/526], Loss: 0.6578
Epoch [94/100], Step[75/526], Loss: 0.7056
Epoch [94/100], Step[76/526], Loss: 0.6963
Epoch [94/100], Step[77/526], Loss: 0.7042
Epoch [94/100], Step[78/526], Loss: 0.7021
Epoch [94/100], Step[79/526], Loss: 0.6995
Epoch [94/100], Step[80/526], Loss: 0.7036
Epoch [94/100], Step[81/526], Loss: 0.7021
Epoch [94/100], Step[82/526], Loss: 0.7271
Epoch [94/100], Step[83/526], Loss: 0.7020
Epoch [94/100], Step[84/526], Loss: 0.6825
Epoch [94/100], Step[85/526], Loss: 0.6613
Epoch [94/100], Step[86/526], Loss: 0.6808
Epoch [94/100], Step[87/526], Loss: 0.6898
Epoch [94/100], Step[88/526], Loss: 0.6935
Epoch [94/100], Step[89/526], Loss: 0.7305
Epoch [94/100], Step[90/526], Loss: 0.6711
Epoch [94/100], Step[91/526], Loss: 0.6884
Epoch [94/100], Step[92/526], Loss: 0.6755
Epoch [94/100], Step[93/526], Loss: 0.6971
Epoch [94/100], Step[94/526], Loss: 0.8052
Epoch [94/100], Step[95/526], Loss: 0.7227
Epoch [94/100], Step[96/526], Loss: 0.6221
Epoch [94/100], Step[97/526], Loss: 0.5802
Epoch [94/100], Step[98/526], Loss: 0.6838
Epoch [94/100], Step[99/526], Loss: 0.6861
Epoch [94/100], Step[100/526], Loss: 0.6434
Epoch [94/100], Step[101/526], Loss: 0.6638
Epoch [94/100], Step[102/526], Loss: 0.6260
Epoch [94/100], Step[103/526], Loss: 0.7258
Epoch [94/100], Step[104/526], Loss: 0.6536
Epoch [94/100], Step[105/526], Loss: 0.6107
Epoch [94/100], Step[106/526], Loss: 0.6854
Epoch [94/100], Step[107/526], Loss: 0.6094
Epoch [94/100], Step[108/526], Loss: 0.5865
Epoch [94/100], Step[109/526], Loss: 0.6553
Epoch [94/100], Step[110/526], Loss: 0.6814
Epoch [94/100], Step[111/526], Loss: 0.6053
Epoch [94/100], Step[112/526], Loss: 0.7249
Epoch [94/100], Step[113/526], Loss: 0.6072
Epoch [94/100], Step[114/526], Loss: 0.6449
Epoch [94/100], Step[115/526], Loss: 0.5921
Epoch [94/100], Step[116/526], Loss: 0.6354
Epoch [94/100], Step[117/526], Loss: 0.6951
Epoch [94/100], Step[118/526], Loss: 0.7642
Epoch [94/100], Step[119/526], Loss: 0.6797
Epoch [94/100], Step[120/526], Loss: 0.6673
Epoch [94/100], Step[121/526], Loss: 0.6919
Epoch [94/100], Step[122/526], Loss: 0.6074
Epoch [94/100], Step[123/526], Loss: 0.6556
Epoch [94/100], Step[124/526], Loss: 0.6675
Epoch [94/100], Step[125/526], Loss: 0.6370
Epoch [94/100], Step[126/526], Loss: 0.7138
Epoch [94/100], Step[127/526], Loss: 0.6655
Epoch [94/100], Step[128/526], Loss: 0.6233
Epoch [94/100], Step[129/526], Loss: 0.6082
Epoch [94/100], Step[130/526], Loss: 0.6426
Epoch [94/100], Step[131/526], Loss: 0.6733
Epoch [94/100], Step[132/526], Loss: 0.7151
Epoch [94/100], Step[133/526], Loss: 0.6709
Epoch [94/100], Step[134/526], Loss: 0.6306
Epoch [94/100], Step[135/526], Loss: 0.6407
Epoch [94/100], Step[136/526], Loss: 0.5588
Epoch [94/100], Step[137/526], Loss: 0.6516
Epoch [94/100], Step[138/526], Loss: 0.6573
Epoch [94/100], Step[139/526], Loss: 0.6912
Epoch [94/100], Step[140/526], Loss: 0.5853
Epoch [94/100], Step[141/526], Loss: 0.6565
Epoch [94/100], Step[142/526], Loss: 0.6746
Epoch [94/100], Step[143/526], Loss: 0.6972
Epoch [94/100], Step[144/526], Loss: 0.7699
Epoch [94/100], Step[145/526], Loss: 0.5258
Epoch [94/100], Step[146/526], Loss: 0.5082
Epoch [94/100], Step[147/526], Loss: 0.4794
Epoch [94/100], Step[148/526], Loss: 0.5959
Epoch [94/100], Step[149/526], Loss: 0.5127
Epoch [94/100], Step[150/526], Loss: 0.5566
Epoch [94/100], Step[151/526], Loss: 0.5516
Epoch [94/100], Step[152/526], Loss: 0.6297
Epoch [94/100], Step[153/526], Loss: 0.6517
Epoch [94/100], Step[154/526], Loss: 0.7005
Epoch [94/100], Step[155/526], Loss: 0.7103
Epoch [94/100], Step[156/526], Loss: 0.5477
Epoch [94/100], Step[157/526], Loss: 0.2875
Epoch [94/100], Step[158/526], Loss: 0.5910
Epoch [94/100], Step[159/526], Loss: 0.6569
Epoch [94/100], Step[160/526], Loss: 0.5626
Epoch [94/100], Step[161/526], Loss: 0.7844
Epoch [94/100], Step[162/526], Loss: 0.7128
Epoch [94/100], Step[163/526], Loss: 0.7231
Epoch [94/100], Step[164/526], Loss: 0.6254
Epoch [94/100], Step[165/526], Loss: 0.7274
Epoch [94/100], Step[166/526], Loss: 0.5314
Epoch [94/100], Step[167/526], Loss: 0.5673
Epoch [94/100], Step[168/526], Loss: 0.6855
Epoch [94/100], Step[169/526], Loss: 0.7388
Epoch [94/100], Step[170/526], Loss: 0.7033
Epoch [94/100], Step[171/526], Loss: 0.7362
Epoch [94/100], Step[172/526], Loss: 0.7122
Epoch [94/100], Step[173/526], Loss: 0.8125
Epoch [94/100], Step[174/526], Loss: 0.6285
Epoch [94/100], Step[175/526], Loss: 0.6772
Epoch [94/100], Step[176/526], Loss: 0.6108
Epoch [94/100], Step[177/526], Loss: 0.6667
Epoch [94/100], Step[178/526], Loss: 0.6885
Epoch [94/100], Step[179/526], Loss: 0.6195
Epoch [94/100], Step[180/526], Loss: 0.6776
Epoch [94/100], Step[181/526], Loss: 0.6516
Epoch [94/100], Step[182/526], Loss: 0.6707
Epoch [94/100], Step[183/526], Loss: 0.5467
Epoch [94/100], Step[184/526], Loss: 0.6164
Epoch [94/100], Step[185/526], Loss: 0.6114
Epoch [94/100], Step[186/526], Loss: 0.6403
Epoch [94/100], Step[187/526], Loss: 0.7544
Epoch [94/100], Step[188/526], Loss: 0.6912
Epoch [94/100], Step[189/526], Loss: 0.6614
Epoch [94/100], Step[190/526], Loss: 0.6880
Epoch [94/100], Step[191/526], Loss: 0.6878
Epoch [94/100], Step[192/526], Loss: 0.8092
Epoch [94/100], Step[193/526], Loss: 0.6483
Epoch [94/100], Step[194/526], Loss: 0.6051
Epoch [94/100], Step[195/526], Loss: 0.6543
Epoch [94/100], Step[196/526], Loss: 0.7241
Epoch [94/100], Step[197/526], Loss: 0.6764
Epoch [94/100], Step[198/526], Loss: 0.6276
Epoch [94/100], Step[199/526], Loss: 0.7477
Epoch [94/100], Step[200/526], Loss: 0.6810
Epoch [94/100], Step[201/526], Loss: 0.6742
Epoch [94/100], Step[202/526], Loss: 0.7367
Epoch [94/100], Step[203/526], Loss: 0.7072
Epoch [94/100], Step[204/526], Loss: 0.7106
Epoch [94/100], Step[205/526], Loss: 0.6888
Epoch [94/100], Step[206/526], Loss: 0.6835
Epoch [94/100], Step[207/526], Loss: 0.7100
Epoch [94/100], Step[208/526], Loss: 0.6817
Epoch [94/100], Step[209/526], Loss: 0.6792
Epoch [94/100], Step[210/526], Loss: 0.7554
Epoch [94/100], Step[211/526], Loss: 0.6311
Epoch [94/100], Step[212/526], Loss: 0.6860
Epoch [94/100], Step[213/526], Loss: 0.7183
Epoch [94/100], Step[214/526], Loss: 0.7205
Epoch [94/100], Step[215/526], Loss: 0.6904
Epoch [94/100], Step[216/526], Loss: 0.6752
Epoch [94/100], Step[217/526], Loss: 0.6516
Epoch [94/100], Step[218/526], Loss: 0.6983
Epoch [94/100], Step[219/526], Loss: 0.6939
Epoch [94/100], Step[220/526], Loss: 0.7174
Epoch [94/100], Step[221/526], Loss: 0.6928
Epoch [94/100], Step[222/526], Loss: 0.7309
Epoch [94/100], Step[223/526], Loss: 0.6324
Epoch [94/100], Step[224/526], Loss: 0.6566
Epoch [94/100], Step[225/526], Loss: 0.7074
Epoch [94/100], Step[226/526], Loss: 0.6647
Epoch [94/100], Step[227/526], Loss: 0.6570
Epoch [94/100], Step[228/526], Loss: 0.6715
Epoch [94/100], Step[229/526], Loss: 0.6887
Epoch [94/100], Step[230/526], Loss: 0.6491
Epoch [94/100], Step[231/526], Loss: 0.6530
Epoch [94/100], Step[232/526], Loss: 0.6827
Epoch [94/100], Step[233/526], Loss: 0.6806
Epoch [94/100], Step[234/526], Loss: 0.6144
Epoch [94/100], Step[235/526], Loss: 0.6723
Epoch [94/100], Step[236/526], Loss: 0.6719
Epoch [94/100], Step[237/526], Loss: 0.7180
Epoch [94/100], Step[238/526], Loss: 0.6076
Epoch [94/100], Step[239/526], Loss: 0.6045
Epoch [94/100], Step[240/526], Loss: 0.6414
Epoch [94/100], Step[241/526], Loss: 0.6180
Epoch [94/100], Step[242/526], Loss: 0.5905
Epoch [94/100], Step[243/526], Loss: 0.6144
Epoch [94/100], Step[244/526], Loss: 0.5387
Epoch [94/100], Step[245/526], Loss: 0.5830
Epoch [94/100], Step[246/526], Loss: 0.6511
Epoch [94/100], Step[247/526], Loss: 0.4982
Epoch [94/100], Step[248/526], Loss: 0.5607
Epoch [94/100], Step[249/526], Loss: 0.8318
Epoch [94/100], Step[250/526], Loss: 0.7991
Epoch [94/100], Step[251/526], Loss: 0.6934
Epoch [94/100], Step[252/526], Loss: 0.6886
Epoch [94/100], Step[253/526], Loss: 0.6129
Epoch [94/100], Step[254/526], Loss: 0.6899
Epoch [94/100], Step[255/526], Loss: 0.5921
Epoch [94/100], Step[256/526], Loss: 0.6578
Epoch [94/100], Step[257/526], Loss: 0.5493
Epoch [94/100], Step[258/526], Loss: 0.6078
Epoch [94/100], Step[259/526], Loss: 0.7076
Epoch [94/100], Step[260/526], Loss: 0.6792
Epoch [94/100], Step[261/526], Loss: 0.7519
Epoch [94/100], Step[262/526], Loss: 0.5600
Epoch [94/100], Step[263/526], Loss: 0.6297
Epoch [94/100], Step[264/526], Loss: 0.5930
Epoch [94/100], Step[265/526], Loss: 0.3346
Epoch [94/100], Step[266/526], Loss: 0.3302
Epoch [94/100], Step[267/526], Loss: 0.4685
Epoch [94/100], Step[268/526], Loss: 0.5726
Epoch [94/100], Step[269/526], Loss: 0.4800
Epoch [94/100], Step[270/526], Loss: 0.4213
Epoch [94/100], Step[271/526], Loss: 0.5671
Epoch [94/100], Step[272/526], Loss: 0.5608
Epoch [94/100], Step[273/526], Loss: 0.6539
Epoch [94/100], Step[274/526], Loss: 0.4501
Epoch [94/100], Step[275/526], Loss: 0.4139
Epoch [94/100], Step[276/526], Loss: 0.4908
Epoch [94/100], Step[277/526], Loss: 0.3970
Epoch [94/100], Step[278/526], Loss: 0.4862
Epoch [94/100], Step[279/526], Loss: 0.4675
Epoch [94/100], Step[280/526], Loss: 0.5104
Epoch [94/100], Step[281/526], Loss: 0.6889
Epoch [94/100], Step[282/526], Loss: 0.4219
Epoch [94/100], Step[283/526], Loss: 0.3790
Epoch [94/100], Step[284/526], Loss: 0.4408
Epoch [94/100], Step[285/526], Loss: 0.2839
Epoch [94/100], Step[286/526], Loss: 0.7634
Epoch [94/100], Step[287/526], Loss: 0.4938
Epoch [94/100], Step[288/526], Loss: 0.4072
Epoch [94/100], Step[289/526], Loss: 0.6062
Epoch [94/100], Step[290/526], Loss: 0.4437
Epoch [94/100], Step[291/526], Loss: 0.4495
Epoch [94/100], Step[292/526], Loss: 0.2788
Epoch [94/100], Step[293/526], Loss: 0.3150
Epoch [94/100], Step[294/526], Loss: 0.3395
Epoch [94/100], Step[295/526], Loss: 0.4385
Epoch [94/100], Step[296/526], Loss: 0.6360
Epoch [94/100], Step[297/526], Loss: 0.3341
Epoch [94/100], Step[298/526], Loss: 0.2720
Epoch [94/100], Step[299/526], Loss: 0.2446
Epoch [94/100], Step[300/526], Loss: 0.2934
Epoch [94/100], Step[301/526], Loss: 0.6084
Epoch [94/100], Step[302/526], Loss: 0.3202
Epoch [94/100], Step[303/526], Loss: 0.4328
Epoch [94/100], Step[304/526], Loss: 0.2760
Epoch [94/100], Step[305/526], Loss: 0.3078
Epoch [94/100], Step[306/526], Loss: 0.6819
Epoch [94/100], Step[307/526], Loss: 0.9985
Epoch [94/100], Step[308/526], Loss: 1.5170
Epoch [94/100], Step[309/526], Loss: 1.2112
Epoch [94/100], Step[310/526], Loss: 1.0239
Epoch [94/100], Step[311/526], Loss: 0.8549
Epoch [94/100], Step[312/526], Loss: 0.4927
Epoch [94/100], Step[313/526], Loss: 0.4393
Epoch [94/100], Step[314/526], Loss: 0.5847
Epoch [94/100], Step[315/526], Loss: 0.7486
Epoch [94/100], Step[316/526], Loss: 0.4955
Epoch [94/100], Step[317/526], Loss: 0.3489
Epoch [94/100], Step[318/526], Loss: 0.7237
Epoch [94/100], Step[319/526], Loss: 0.3876
Epoch [94/100], Step[320/526], Loss: 0.6272
Epoch [94/100], Step[321/526], Loss: 0.8083
Epoch [94/100], Step[322/526], Loss: 0.3187
Epoch [94/100], Step[323/526], Loss: 0.6189
Epoch [94/100], Step[324/526], Loss: 0.6641
Epoch [94/100], Step[325/526], Loss: 0.5748
Epoch [94/100], Step[326/526], Loss: 0.7682
Epoch [94/100], Step[327/526], Loss: 0.7276
Epoch [94/100], Step[328/526], Loss: 0.9116
Epoch [94/100], Step[329/526], Loss: 1.2602
Epoch [94/100], Step[330/526], Loss: 1.0382
Epoch [94/100], Step[331/526], Loss: 0.7622
Epoch [94/100], Step[332/526], Loss: 0.8481
Epoch [94/100], Step[333/526], Loss: 0.7257
Epoch [94/100], Step[334/526], Loss: 0.7425
Epoch [94/100], Step[335/526], Loss: 0.7415
Epoch [94/100], Step[336/526], Loss: 0.6639
Epoch [94/100], Step[337/526], Loss: 0.5835
Epoch [94/100], Step[338/526], Loss: 0.7034
Epoch [94/100], Step[339/526], Loss: 0.6591
Epoch [94/100], Step[340/526], Loss: 0.7213
Epoch [94/100], Step[341/526], Loss: 0.7522
Epoch [94/100], Step[342/526], Loss: 0.7542
Epoch [94/100], Step[343/526], Loss: 0.5442
Epoch [94/100], Step[344/526], Loss: 0.7040
Epoch [94/100], Step[345/526], Loss: 0.6824
Epoch [94/100], Step[346/526], Loss: 0.6758
Epoch [94/100], Step[347/526], Loss: 0.7209
Epoch [94/100], Step[348/526], Loss: 0.6356
Epoch [94/100], Step[349/526], Loss: 0.5712
Epoch [94/100], Step[350/526], Loss: 0.6502
Epoch [94/100], Step[351/526], Loss: 0.6930
Epoch [94/100], Step[352/526], Loss: 0.6344
Epoch [94/100], Step[353/526], Loss: 0.6691
Epoch [94/100], Step[354/526], Loss: 0.6781
Epoch [94/100], Step[355/526], Loss: 0.6678
Epoch [94/100], Step[356/526], Loss: 0.6901
Epoch [94/100], Step[357/526], Loss: 0.6388
Epoch [94/100], Step[358/526], Loss: 0.7114
Epoch [94/100], Step[359/526], Loss: 0.6386
Epoch [94/100], Step[360/526], Loss: 0.6747
Epoch [94/100], Step[361/526], Loss: 0.7132
Epoch [94/100], Step[362/526], Loss: 0.6938
Epoch [94/100], Step[363/526], Loss: 0.7013
Epoch [94/100], Step[364/526], Loss: 0.7262
Epoch [94/100], Step[365/526], Loss: 0.7351
Epoch [94/100], Step[366/526], Loss: 0.6799
Epoch [94/100], Step[367/526], Loss: 0.6786
Epoch [94/100], Step[368/526], Loss: 0.6570
Epoch [94/100], Step[369/526], Loss: 0.6392
Epoch [94/100], Step[370/526], Loss: 0.6043
Epoch [94/100], Step[371/526], Loss: 0.7306
Epoch [94/100], Step[372/526], Loss: 0.6410
Epoch [94/100], Step[373/526], Loss: 0.6743
Epoch [94/100], Step[374/526], Loss: 0.6974
Epoch [94/100], Step[375/526], Loss: 0.6301
Epoch [94/100], Step[376/526], Loss: 0.6349
Epoch [94/100], Step[377/526], Loss: 0.6835
Epoch [94/100], Step[378/526], Loss: 0.6763
Epoch [94/100], Step[379/526], Loss: 0.7888
Epoch [94/100], Step[380/526], Loss: 0.6005
Epoch [94/100], Step[381/526], Loss: 0.5827
Epoch [94/100], Step[382/526], Loss: 0.6657
Epoch [94/100], Step[383/526], Loss: 0.6904
Epoch [94/100], Step[384/526], Loss: 0.6301
Epoch [94/100], Step[385/526], Loss: 0.6312
Epoch [94/100], Step[386/526], Loss: 0.6288
Epoch [94/100], Step[387/526], Loss: 0.6587
Epoch [94/100], Step[388/526], Loss: 0.5873
Epoch [94/100], Step[389/526], Loss: 0.7331
Epoch [94/100], Step[390/526], Loss: 0.5680
Epoch [94/100], Step[391/526], Loss: 0.6239
Epoch [94/100], Step[392/526], Loss: 0.7286
Epoch [94/100], Step[393/526], Loss: 0.5807
Epoch [94/100], Step[394/526], Loss: 0.5125
Epoch [94/100], Step[395/526], Loss: 0.5854
Epoch [94/100], Step[396/526], Loss: 0.6307
Epoch [94/100], Step[397/526], Loss: 0.4815
Epoch [94/100], Step[398/526], Loss: 0.6142
Epoch [94/100], Step[399/526], Loss: 0.6695
Epoch [94/100], Step[400/526], Loss: 0.4784
Epoch [94/100], Step[401/526], Loss: 0.6076
Epoch [94/100], Step[402/526], Loss: 0.6426
Epoch [94/100], Step[403/526], Loss: 0.7330
Epoch [94/100], Step[404/526], Loss: 0.4762
Epoch [94/100], Step[405/526], Loss: 0.4938
Epoch [94/100], Step[406/526], Loss: 0.6314
Epoch [94/100], Step[407/526], Loss: 0.7607
Epoch [94/100], Step[408/526], Loss: 0.6605
Epoch [94/100], Step[409/526], Loss: 0.4819
Epoch [94/100], Step[410/526], Loss: 0.5102
Epoch [94/100], Step[411/526], Loss: 0.5373
Epoch [94/100], Step[412/526], Loss: 0.6024
Epoch [94/100], Step[413/526], Loss: 0.6100
Epoch [94/100], Step[414/526], Loss: 0.6475
Epoch [94/100], Step[415/526], Loss: 0.6022
Epoch [94/100], Step[416/526], Loss: 0.5871
Epoch [94/100], Step[417/526], Loss: 0.4665
Epoch [94/100], Step[418/526], Loss: 0.7723
Epoch [94/100], Step[419/526], Loss: 0.6701
Epoch [94/100], Step[420/526], Loss: 0.6762
Epoch [94/100], Step[421/526], Loss: 0.6606
Epoch [94/100], Step[422/526], Loss: 0.7546
Epoch [94/100], Step[423/526], Loss: 0.7009
Epoch [94/100], Step[424/526], Loss: 0.7531
Epoch [94/100], Step[425/526], Loss: 0.7118
Epoch [94/100], Step[426/526], Loss: 0.7464
Epoch [94/100], Step[427/526], Loss: 0.7064
Epoch [94/100], Step[428/526], Loss: 0.7100
Epoch [94/100], Step[429/526], Loss: 0.7449
Epoch [94/100], Step[430/526], Loss: 0.7807
Epoch [94/100], Step[431/526], Loss: 0.7048
Epoch [94/100], Step[432/526], Loss: 0.7191
Epoch [94/100], Step[433/526], Loss: 0.6706
Epoch [94/100], Step[434/526], Loss: 0.6060
Epoch [94/100], Step[435/526], Loss: 0.7645
Epoch [94/100], Step[436/526], Loss: 0.8099
Epoch [94/100], Step[437/526], Loss: 0.4818
Epoch [94/100], Step[438/526], Loss: 0.3735
Epoch [94/100], Step[439/526], Loss: 0.7187
Epoch [94/100], Step[440/526], Loss: 0.6836
Epoch [94/100], Step[441/526], Loss: 0.6978
Epoch [94/100], Step[442/526], Loss: 0.6543
Epoch [94/100], Step[443/526], Loss: 0.6638
Epoch [94/100], Step[444/526], Loss: 0.7581
Epoch [94/100], Step[445/526], Loss: 0.7161
Epoch [94/100], Step[446/526], Loss: 0.6954
Epoch [94/100], Step[447/526], Loss: 0.7309
Epoch [94/100], Step[448/526], Loss: 0.7256
Epoch [94/100], Step[449/526], Loss: 0.6672
Epoch [94/100], Step[450/526], Loss: 0.5924
Epoch [94/100], Step[451/526], Loss: 0.6802
Epoch [94/100], Step[452/526], Loss: 0.7321
Epoch [94/100], Step[453/526], Loss: 0.7016
Epoch [94/100], Step[454/526], Loss: 0.8315
Epoch [94/100], Step[455/526], Loss: 0.6362
Epoch [94/100], Step[456/526], Loss: 0.6217
Epoch [94/100], Step[457/526], Loss: 0.7071
Epoch [94/100], Step[458/526], Loss: 0.6687
Epoch [94/100], Step[459/526], Loss: 0.6317
Epoch [94/100], Step[460/526], Loss: 0.6111
Epoch [94/100], Step[461/526], Loss: 0.5840
Epoch [94/100], Step[462/526], Loss: 0.6397
Epoch [94/100], Step[463/526], Loss: 0.6343
Epoch [94/100], Step[464/526], Loss: 0.6126
Epoch [94/100], Step[465/526], Loss: 0.6402
Epoch [94/100], Step[466/526], Loss: 0.6718
Epoch [94/100], Step[467/526], Loss: 0.6258
Epoch [94/100], Step[468/526], Loss: 0.5849
Epoch [94/100], Step[469/526], Loss: 0.8541
Epoch [94/100], Step[470/526], Loss: 0.6616
Epoch [94/100], Step[471/526], Loss: 0.6974
Epoch [94/100], Step[472/526], Loss: 0.6791
Epoch [94/100], Step[473/526], Loss: 0.6759
Epoch [94/100], Step[474/526], Loss: 0.6703
Epoch [94/100], Step[475/526], Loss: 0.8537
Epoch [94/100], Step[476/526], Loss: 0.7413
Epoch [94/100], Step[477/526], Loss: 0.6837
Epoch [94/100], Step[478/526], Loss: 0.6879
Epoch [94/100], Step[479/526], Loss: 0.6598
Epoch [94/100], Step[480/526], Loss: 0.7274
Epoch [94/100], Step[481/526], Loss: 0.7379
Epoch [94/100], Step[482/526], Loss: 0.6516
Epoch [94/100], Step[483/526], Loss: 0.5364
Epoch [94/100], Step[484/526], Loss: 0.7255
Epoch [94/100], Step[485/526], Loss: 0.7788
Epoch [94/100], Step[486/526], Loss: 0.7432
Epoch [94/100], Step[487/526], Loss: 0.7592
Epoch [94/100], Step[488/526], Loss: 0.6596
Epoch [94/100], Step[489/526], Loss: 0.6181
Epoch [94/100], Step[490/526], Loss: 0.5896
Epoch [94/100], Step[491/526], Loss: 0.6781
Epoch [94/100], Step[492/526], Loss: 0.6408
Epoch [94/100], Step[493/526], Loss: 0.6280
Epoch [94/100], Step[494/526], Loss: 0.6806
Epoch [94/100], Step[495/526], Loss: 0.6920
Epoch [94/100], Step[496/526], Loss: 0.6509
Epoch [94/100], Step[497/526], Loss: 0.6273
Epoch [94/100], Step[498/526], Loss: 0.6767
Epoch [94/100], Step[499/526], Loss: 0.6614
Epoch [94/100], Step[500/526], Loss: 0.7086
Epoch [94/100], Step[501/526], Loss: 0.6666
Epoch [94/100], Step[502/526], Loss: 0.7018
Epoch [94/100], Step[503/526], Loss: 0.7119
Epoch [94/100], Step[504/526], Loss: 0.7101
Epoch [94/100], Step[505/526], Loss: 0.7266
Epoch [94/100], Step[506/526], Loss: 0.6537
Epoch [94/100], Step[507/526], Loss: 0.6759
Epoch [94/100], Step[508/526], Loss: 0.7004
Epoch [94/100], Step[509/526], Loss: 0.6323
Epoch [94/100], Step[510/526], Loss: 0.7014
Epoch [94/100], Step[511/526], Loss: 0.6301
Epoch [94/100], Step[512/526], Loss: 0.6607
Epoch [94/100], Step[513/526], Loss: 0.6264
Epoch [94/100], Step[514/526], Loss: 0.6527
Epoch [94/100], Step[515/526], Loss: 0.5556
Epoch [94/100], Step[516/526], Loss: 0.7550
Epoch [94/100], Step[517/526], Loss: 0.6919
Epoch [94/100], Step[518/526], Loss: 0.7413
Epoch [94/100], Step[519/526], Loss: 0.7249
Epoch [94/100], Step[520/526], Loss: 0.6849
Epoch [94/100], Step[521/526], Loss: 0.6826
Epoch [94/100], Step[522/526], Loss: 0.5827
Epoch [94/100], Step[523/526], Loss: 0.6430
Epoch [94/100], Step[524/526], Loss: 0.6150
Epoch [94/100], Step[525/526], Loss: 0.7615
Epoch [94/100], Step[526/526], Loss: 0.7327
Epoch [95/100], Step[1/526], Loss: 0.6552
Epoch [95/100], Step[2/526], Loss: 0.6444
Epoch [95/100], Step[3/526], Loss: 0.6764
Epoch [95/100], Step[4/526], Loss: 0.6260
Epoch [95/100], Step[5/526], Loss: 0.7434
Epoch [95/100], Step[6/526], Loss: 0.7640
Epoch [95/100], Step[7/526], Loss: 0.6825
Epoch [95/100], Step[8/526], Loss: 0.6753
Epoch [95/100], Step[9/526], Loss: 0.6952
Epoch [95/100], Step[10/526], Loss: 0.6413
Epoch [95/100], Step[11/526], Loss: 0.7073
Epoch [95/100], Step[12/526], Loss: 0.7495
Epoch [95/100], Step[13/526], Loss: 0.6035
Epoch [95/100], Step[14/526], Loss: 0.6590
Epoch [95/100], Step[15/526], Loss: 0.6761
Epoch [95/100], Step[16/526], Loss: 0.7120
Epoch [95/100], Step[17/526], Loss: 0.7180
Epoch [95/100], Step[18/526], Loss: 0.6483
Epoch [95/100], Step[19/526], Loss: 0.6880
Epoch [95/100], Step[20/526], Loss: 0.7559
Epoch [95/100], Step[21/526], Loss: 0.7739
Epoch [95/100], Step[22/526], Loss: 0.7498
Epoch [95/100], Step[23/526], Loss: 0.7372
Epoch [95/100], Step[24/526], Loss: 0.7268
Epoch [95/100], Step[25/526], Loss: 0.6967
Epoch [95/100], Step[26/526], Loss: 0.6218
Epoch [95/100], Step[27/526], Loss: 0.6784
Epoch [95/100], Step[28/526], Loss: 0.6942
Epoch [95/100], Step[29/526], Loss: 0.6433
Epoch [95/100], Step[30/526], Loss: 0.6960
Epoch [95/100], Step[31/526], Loss: 0.7085
Epoch [95/100], Step[32/526], Loss: 0.6727
Epoch [95/100], Step[33/526], Loss: 0.7134
Epoch [95/100], Step[34/526], Loss: 0.7042
Epoch [95/100], Step[35/526], Loss: 0.7304
Epoch [95/100], Step[36/526], Loss: 0.7082
Epoch [95/100], Step[37/526], Loss: 0.6901
Epoch [95/100], Step[38/526], Loss: 0.7202
Epoch [95/100], Step[39/526], Loss: 0.6814
Epoch [95/100], Step[40/526], Loss: 0.7049
Epoch [95/100], Step[41/526], Loss: 0.6666
Epoch [95/100], Step[42/526], Loss: 0.7275
Epoch [95/100], Step[43/526], Loss: 0.7134
Epoch [95/100], Step[44/526], Loss: 0.6945
Epoch [95/100], Step[45/526], Loss: 0.7005
Epoch [95/100], Step[46/526], Loss: 0.6793
Epoch [95/100], Step[47/526], Loss: 0.6913
Epoch [95/100], Step[48/526], Loss: 0.7195
Epoch [95/100], Step[49/526], Loss: 0.7024
Epoch [95/100], Step[50/526], Loss: 0.7005
Epoch [95/100], Step[51/526], Loss: 0.7014
Epoch [95/100], Step[52/526], Loss: 0.6796
Epoch [95/100], Step[53/526], Loss: 0.7194
Epoch [95/100], Step[54/526], Loss: 0.6995
Epoch [95/100], Step[55/526], Loss: 0.6919
Epoch [95/100], Step[56/526], Loss: 0.6813
Epoch [95/100], Step[57/526], Loss: 0.6861
Epoch [95/100], Step[58/526], Loss: 0.6695
Epoch [95/100], Step[59/526], Loss: 0.6605
Epoch [95/100], Step[60/526], Loss: 0.6581
Epoch [95/100], Step[61/526], Loss: 0.6554
Epoch [95/100], Step[62/526], Loss: 0.7066
Epoch [95/100], Step[63/526], Loss: 0.6828
Epoch [95/100], Step[64/526], Loss: 0.6761
Epoch [95/100], Step[65/526], Loss: 0.7207
Epoch [95/100], Step[66/526], Loss: 0.6808
Epoch [95/100], Step[67/526], Loss: 0.6377
Epoch [95/100], Step[68/526], Loss: 0.6552
Epoch [95/100], Step[69/526], Loss: 0.6866
Epoch [95/100], Step[70/526], Loss: 0.6762
Epoch [95/100], Step[71/526], Loss: 0.6617
Epoch [95/100], Step[72/526], Loss: 0.6880
Epoch [95/100], Step[73/526], Loss: 0.7165
Epoch [95/100], Step[74/526], Loss: 0.6580
Epoch [95/100], Step[75/526], Loss: 0.7059
Epoch [95/100], Step[76/526], Loss: 0.6944
Epoch [95/100], Step[77/526], Loss: 0.7041
Epoch [95/100], Step[78/526], Loss: 0.7032
Epoch [95/100], Step[79/526], Loss: 0.6983
Epoch [95/100], Step[80/526], Loss: 0.7028
Epoch [95/100], Step[81/526], Loss: 0.7011
Epoch [95/100], Step[82/526], Loss: 0.7271
Epoch [95/100], Step[83/526], Loss: 0.7034
Epoch [95/100], Step[84/526], Loss: 0.6815
Epoch [95/100], Step[85/526], Loss: 0.6615
Epoch [95/100], Step[86/526], Loss: 0.6810
Epoch [95/100], Step[87/526], Loss: 0.6884
Epoch [95/100], Step[88/526], Loss: 0.6929
Epoch [95/100], Step[89/526], Loss: 0.7297
Epoch [95/100], Step[90/526], Loss: 0.6714
Epoch [95/100], Step[91/526], Loss: 0.6870
Epoch [95/100], Step[92/526], Loss: 0.6760
Epoch [95/100], Step[93/526], Loss: 0.6954
Epoch [95/100], Step[94/526], Loss: 0.8051
Epoch [95/100], Step[95/526], Loss: 0.7226
Epoch [95/100], Step[96/526], Loss: 0.6215
Epoch [95/100], Step[97/526], Loss: 0.5809
Epoch [95/100], Step[98/526], Loss: 0.6856
Epoch [95/100], Step[99/526], Loss: 0.6882
Epoch [95/100], Step[100/526], Loss: 0.6401
Epoch [95/100], Step[101/526], Loss: 0.6628
Epoch [95/100], Step[102/526], Loss: 0.6283
Epoch [95/100], Step[103/526], Loss: 0.7235
Epoch [95/100], Step[104/526], Loss: 0.6534
Epoch [95/100], Step[105/526], Loss: 0.6092
Epoch [95/100], Step[106/526], Loss: 0.6834
Epoch [95/100], Step[107/526], Loss: 0.6100
Epoch [95/100], Step[108/526], Loss: 0.5847
Epoch [95/100], Step[109/526], Loss: 0.6529
Epoch [95/100], Step[110/526], Loss: 0.6828
Epoch [95/100], Step[111/526], Loss: 0.6058
Epoch [95/100], Step[112/526], Loss: 0.7251
Epoch [95/100], Step[113/526], Loss: 0.6071
Epoch [95/100], Step[114/526], Loss: 0.6477
Epoch [95/100], Step[115/526], Loss: 0.5921
Epoch [95/100], Step[116/526], Loss: 0.6344
Epoch [95/100], Step[117/526], Loss: 0.6947
Epoch [95/100], Step[118/526], Loss: 0.7611
Epoch [95/100], Step[119/526], Loss: 0.6799
Epoch [95/100], Step[120/526], Loss: 0.6691
Epoch [95/100], Step[121/526], Loss: 0.6905
Epoch [95/100], Step[122/526], Loss: 0.6103
Epoch [95/100], Step[123/526], Loss: 0.6553
Epoch [95/100], Step[124/526], Loss: 0.6670
Epoch [95/100], Step[125/526], Loss: 0.6369
Epoch [95/100], Step[126/526], Loss: 0.7128
Epoch [95/100], Step[127/526], Loss: 0.6628
Epoch [95/100], Step[128/526], Loss: 0.6238
Epoch [95/100], Step[129/526], Loss: 0.6095
Epoch [95/100], Step[130/526], Loss: 0.6433
Epoch [95/100], Step[131/526], Loss: 0.6722
Epoch [95/100], Step[132/526], Loss: 0.7128
Epoch [95/100], Step[133/526], Loss: 0.6705
Epoch [95/100], Step[134/526], Loss: 0.6305
Epoch [95/100], Step[135/526], Loss: 0.6417
Epoch [95/100], Step[136/526], Loss: 0.5589
Epoch [95/100], Step[137/526], Loss: 0.6524
Epoch [95/100], Step[138/526], Loss: 0.6578
Epoch [95/100], Step[139/526], Loss: 0.6890
Epoch [95/100], Step[140/526], Loss: 0.5847
Epoch [95/100], Step[141/526], Loss: 0.6554
Epoch [95/100], Step[142/526], Loss: 0.6745
Epoch [95/100], Step[143/526], Loss: 0.7021
Epoch [95/100], Step[144/526], Loss: 0.7708
Epoch [95/100], Step[145/526], Loss: 0.5248
Epoch [95/100], Step[146/526], Loss: 0.5085
Epoch [95/100], Step[147/526], Loss: 0.4823
Epoch [95/100], Step[148/526], Loss: 0.6011
Epoch [95/100], Step[149/526], Loss: 0.5091
Epoch [95/100], Step[150/526], Loss: 0.5530
Epoch [95/100], Step[151/526], Loss: 0.5487
Epoch [95/100], Step[152/526], Loss: 0.6310
Epoch [95/100], Step[153/526], Loss: 0.6484
Epoch [95/100], Step[154/526], Loss: 0.7007
Epoch [95/100], Step[155/526], Loss: 0.7057
Epoch [95/100], Step[156/526], Loss: 0.5487
Epoch [95/100], Step[157/526], Loss: 0.2876
Epoch [95/100], Step[158/526], Loss: 0.5891
Epoch [95/100], Step[159/526], Loss: 0.6587
Epoch [95/100], Step[160/526], Loss: 0.5612
Epoch [95/100], Step[161/526], Loss: 0.7748
Epoch [95/100], Step[162/526], Loss: 0.7140
Epoch [95/100], Step[163/526], Loss: 0.7218
Epoch [95/100], Step[164/526], Loss: 0.6236
Epoch [95/100], Step[165/526], Loss: 0.7264
Epoch [95/100], Step[166/526], Loss: 0.5304
Epoch [95/100], Step[167/526], Loss: 0.5672
Epoch [95/100], Step[168/526], Loss: 0.6845
Epoch [95/100], Step[169/526], Loss: 0.7401
Epoch [95/100], Step[170/526], Loss: 0.7056
Epoch [95/100], Step[171/526], Loss: 0.7410
Epoch [95/100], Step[172/526], Loss: 0.7133
Epoch [95/100], Step[173/526], Loss: 0.8142
Epoch [95/100], Step[174/526], Loss: 0.6314
Epoch [95/100], Step[175/526], Loss: 0.6770
Epoch [95/100], Step[176/526], Loss: 0.6086
Epoch [95/100], Step[177/526], Loss: 0.6655
Epoch [95/100], Step[178/526], Loss: 0.6890
Epoch [95/100], Step[179/526], Loss: 0.6172
Epoch [95/100], Step[180/526], Loss: 0.6761
Epoch [95/100], Step[181/526], Loss: 0.6519
Epoch [95/100], Step[182/526], Loss: 0.6632
Epoch [95/100], Step[183/526], Loss: 0.5472
Epoch [95/100], Step[184/526], Loss: 0.6118
Epoch [95/100], Step[185/526], Loss: 0.6134
Epoch [95/100], Step[186/526], Loss: 0.6350
Epoch [95/100], Step[187/526], Loss: 0.7553
Epoch [95/100], Step[188/526], Loss: 0.6920
Epoch [95/100], Step[189/526], Loss: 0.6604
Epoch [95/100], Step[190/526], Loss: 0.7023
Epoch [95/100], Step[191/526], Loss: 0.6869
Epoch [95/100], Step[192/526], Loss: 0.8282
Epoch [95/100], Step[193/526], Loss: 0.6467
Epoch [95/100], Step[194/526], Loss: 0.6095
Epoch [95/100], Step[195/526], Loss: 0.6500
Epoch [95/100], Step[196/526], Loss: 0.7243
Epoch [95/100], Step[197/526], Loss: 0.6768
Epoch [95/100], Step[198/526], Loss: 0.6266
Epoch [95/100], Step[199/526], Loss: 0.7467
Epoch [95/100], Step[200/526], Loss: 0.6805
Epoch [95/100], Step[201/526], Loss: 0.6730
Epoch [95/100], Step[202/526], Loss: 0.7410
Epoch [95/100], Step[203/526], Loss: 0.7076
Epoch [95/100], Step[204/526], Loss: 0.7128
Epoch [95/100], Step[205/526], Loss: 0.6877
Epoch [95/100], Step[206/526], Loss: 0.6823
Epoch [95/100], Step[207/526], Loss: 0.7098
Epoch [95/100], Step[208/526], Loss: 0.6831
Epoch [95/100], Step[209/526], Loss: 0.6801
Epoch [95/100], Step[210/526], Loss: 0.7510
Epoch [95/100], Step[211/526], Loss: 0.6299
Epoch [95/100], Step[212/526], Loss: 0.6856
Epoch [95/100], Step[213/526], Loss: 0.7167
Epoch [95/100], Step[214/526], Loss: 0.7168
Epoch [95/100], Step[215/526], Loss: 0.6895
Epoch [95/100], Step[216/526], Loss: 0.6751
Epoch [95/100], Step[217/526], Loss: 0.6469
Epoch [95/100], Step[218/526], Loss: 0.6955
Epoch [95/100], Step[219/526], Loss: 0.6918
Epoch [95/100], Step[220/526], Loss: 0.7157
Epoch [95/100], Step[221/526], Loss: 0.6935
Epoch [95/100], Step[222/526], Loss: 0.7292
Epoch [95/100], Step[223/526], Loss: 0.6281
Epoch [95/100], Step[224/526], Loss: 0.6554
Epoch [95/100], Step[225/526], Loss: 0.7029
Epoch [95/100], Step[226/526], Loss: 0.6646
Epoch [95/100], Step[227/526], Loss: 0.6536
Epoch [95/100], Step[228/526], Loss: 0.6711
Epoch [95/100], Step[229/526], Loss: 0.6891
Epoch [95/100], Step[230/526], Loss: 0.6465
Epoch [95/100], Step[231/526], Loss: 0.6496
Epoch [95/100], Step[232/526], Loss: 0.6805
Epoch [95/100], Step[233/526], Loss: 0.6785
Epoch [95/100], Step[234/526], Loss: 0.6136
Epoch [95/100], Step[235/526], Loss: 0.6636
Epoch [95/100], Step[236/526], Loss: 0.6695
Epoch [95/100], Step[237/526], Loss: 0.7199
Epoch [95/100], Step[238/526], Loss: 0.6072
Epoch [95/100], Step[239/526], Loss: 0.6064
Epoch [95/100], Step[240/526], Loss: 0.6384
Epoch [95/100], Step[241/526], Loss: 0.6142
Epoch [95/100], Step[242/526], Loss: 0.5871
Epoch [95/100], Step[243/526], Loss: 0.5801
Epoch [95/100], Step[244/526], Loss: 0.5346
Epoch [95/100], Step[245/526], Loss: 0.5766
Epoch [95/100], Step[246/526], Loss: 0.6471
Epoch [95/100], Step[247/526], Loss: 0.4983
Epoch [95/100], Step[248/526], Loss: 0.5589
Epoch [95/100], Step[249/526], Loss: 0.8253
Epoch [95/100], Step[250/526], Loss: 0.7956
Epoch [95/100], Step[251/526], Loss: 0.6927
Epoch [95/100], Step[252/526], Loss: 0.6820
Epoch [95/100], Step[253/526], Loss: 0.6097
Epoch [95/100], Step[254/526], Loss: 0.6892
Epoch [95/100], Step[255/526], Loss: 0.5911
Epoch [95/100], Step[256/526], Loss: 0.6575
Epoch [95/100], Step[257/526], Loss: 0.5436
Epoch [95/100], Step[258/526], Loss: 0.6070
Epoch [95/100], Step[259/526], Loss: 0.7050
Epoch [95/100], Step[260/526], Loss: 0.6696
Epoch [95/100], Step[261/526], Loss: 0.7524
Epoch [95/100], Step[262/526], Loss: 0.5566
Epoch [95/100], Step[263/526], Loss: 0.6274
Epoch [95/100], Step[264/526], Loss: 0.5924
Epoch [95/100], Step[265/526], Loss: 0.3326
Epoch [95/100], Step[266/526], Loss: 0.3252
Epoch [95/100], Step[267/526], Loss: 0.4734
Epoch [95/100], Step[268/526], Loss: 0.5719
Epoch [95/100], Step[269/526], Loss: 0.4848
Epoch [95/100], Step[270/526], Loss: 0.4230
Epoch [95/100], Step[271/526], Loss: 0.5662
Epoch [95/100], Step[272/526], Loss: 0.5603
Epoch [95/100], Step[273/526], Loss: 0.6554
Epoch [95/100], Step[274/526], Loss: 0.4507
Epoch [95/100], Step[275/526], Loss: 0.4149
Epoch [95/100], Step[276/526], Loss: 0.4935
Epoch [95/100], Step[277/526], Loss: 0.4058
Epoch [95/100], Step[278/526], Loss: 0.4881
Epoch [95/100], Step[279/526], Loss: 0.4724
Epoch [95/100], Step[280/526], Loss: 0.5120
Epoch [95/100], Step[281/526], Loss: 0.6851
Epoch [95/100], Step[282/526], Loss: 0.4230
Epoch [95/100], Step[283/526], Loss: 0.3739
Epoch [95/100], Step[284/526], Loss: 0.4561
Epoch [95/100], Step[285/526], Loss: 0.3056
Epoch [95/100], Step[286/526], Loss: 0.7290
Epoch [95/100], Step[287/526], Loss: 0.4999
Epoch [95/100], Step[288/526], Loss: 0.4183
Epoch [95/100], Step[289/526], Loss: 0.6049
Epoch [95/100], Step[290/526], Loss: 0.4559
Epoch [95/100], Step[291/526], Loss: 0.4562
Epoch [95/100], Step[292/526], Loss: 0.3025
Epoch [95/100], Step[293/526], Loss: 0.3195
Epoch [95/100], Step[294/526], Loss: 0.3572
Epoch [95/100], Step[295/526], Loss: 0.4652
Epoch [95/100], Step[296/526], Loss: 0.6057
Epoch [95/100], Step[297/526], Loss: 0.3569
Epoch [95/100], Step[298/526], Loss: 0.3133
Epoch [95/100], Step[299/526], Loss: 0.2617
Epoch [95/100], Step[300/526], Loss: 0.2731
Epoch [95/100], Step[301/526], Loss: 0.6465
Epoch [95/100], Step[302/526], Loss: 0.3894
Epoch [95/100], Step[303/526], Loss: 0.4377
Epoch [95/100], Step[304/526], Loss: 0.2691
Epoch [95/100], Step[305/526], Loss: 0.2811
Epoch [95/100], Step[306/526], Loss: 0.5682
Epoch [95/100], Step[307/526], Loss: 0.8941
Epoch [95/100], Step[308/526], Loss: 1.3219
Epoch [95/100], Step[309/526], Loss: 0.9217
Epoch [95/100], Step[310/526], Loss: 0.9064
Epoch [95/100], Step[311/526], Loss: 0.8024
Epoch [95/100], Step[312/526], Loss: 0.4755
Epoch [95/100], Step[313/526], Loss: 0.4525
Epoch [95/100], Step[314/526], Loss: 0.6107
Epoch [95/100], Step[315/526], Loss: 0.7611
Epoch [95/100], Step[316/526], Loss: 0.4928
Epoch [95/100], Step[317/526], Loss: 0.3268
Epoch [95/100], Step[318/526], Loss: 0.7852
Epoch [95/100], Step[319/526], Loss: 0.3621
Epoch [95/100], Step[320/526], Loss: 0.6497
Epoch [95/100], Step[321/526], Loss: 0.7429
Epoch [95/100], Step[322/526], Loss: 0.2811
Epoch [95/100], Step[323/526], Loss: 0.6167
Epoch [95/100], Step[324/526], Loss: 0.6784
Epoch [95/100], Step[325/526], Loss: 0.5806
Epoch [95/100], Step[326/526], Loss: 0.7586
Epoch [95/100], Step[327/526], Loss: 0.7230
Epoch [95/100], Step[328/526], Loss: 0.9358
Epoch [95/100], Step[329/526], Loss: 1.3073
Epoch [95/100], Step[330/526], Loss: 1.0587
Epoch [95/100], Step[331/526], Loss: 0.7810
Epoch [95/100], Step[332/526], Loss: 0.8674
Epoch [95/100], Step[333/526], Loss: 0.7442
Epoch [95/100], Step[334/526], Loss: 0.7537
Epoch [95/100], Step[335/526], Loss: 0.7647
Epoch [95/100], Step[336/526], Loss: 0.6651
Epoch [95/100], Step[337/526], Loss: 0.5810
Epoch [95/100], Step[338/526], Loss: 0.7074
Epoch [95/100], Step[339/526], Loss: 0.6624
Epoch [95/100], Step[340/526], Loss: 0.7246
Epoch [95/100], Step[341/526], Loss: 0.7663
Epoch [95/100], Step[342/526], Loss: 0.7694
Epoch [95/100], Step[343/526], Loss: 0.5367
Epoch [95/100], Step[344/526], Loss: 0.7087
Epoch [95/100], Step[345/526], Loss: 0.6749
Epoch [95/100], Step[346/526], Loss: 0.6763
Epoch [95/100], Step[347/526], Loss: 0.7183
Epoch [95/100], Step[348/526], Loss: 0.6360
Epoch [95/100], Step[349/526], Loss: 0.5660
Epoch [95/100], Step[350/526], Loss: 0.6483
Epoch [95/100], Step[351/526], Loss: 0.6975
Epoch [95/100], Step[352/526], Loss: 0.6286
Epoch [95/100], Step[353/526], Loss: 0.6717
Epoch [95/100], Step[354/526], Loss: 0.6779
Epoch [95/100], Step[355/526], Loss: 0.6698
Epoch [95/100], Step[356/526], Loss: 0.6925
Epoch [95/100], Step[357/526], Loss: 0.6412
Epoch [95/100], Step[358/526], Loss: 0.7109
Epoch [95/100], Step[359/526], Loss: 0.6401
Epoch [95/100], Step[360/526], Loss: 0.6750
Epoch [95/100], Step[361/526], Loss: 0.7159
Epoch [95/100], Step[362/526], Loss: 0.6932
Epoch [95/100], Step[363/526], Loss: 0.7006
Epoch [95/100], Step[364/526], Loss: 0.7257
Epoch [95/100], Step[365/526], Loss: 0.7339
Epoch [95/100], Step[366/526], Loss: 0.6801
Epoch [95/100], Step[367/526], Loss: 0.6785
Epoch [95/100], Step[368/526], Loss: 0.6575
Epoch [95/100], Step[369/526], Loss: 0.6401
Epoch [95/100], Step[370/526], Loss: 0.5978
Epoch [95/100], Step[371/526], Loss: 0.7291
Epoch [95/100], Step[372/526], Loss: 0.6418
Epoch [95/100], Step[373/526], Loss: 0.6739
Epoch [95/100], Step[374/526], Loss: 0.6970
Epoch [95/100], Step[375/526], Loss: 0.6311
Epoch [95/100], Step[376/526], Loss: 0.6339
Epoch [95/100], Step[377/526], Loss: 0.6818
Epoch [95/100], Step[378/526], Loss: 0.6766
Epoch [95/100], Step[379/526], Loss: 0.7851
Epoch [95/100], Step[380/526], Loss: 0.5983
Epoch [95/100], Step[381/526], Loss: 0.5835
Epoch [95/100], Step[382/526], Loss: 0.6655
Epoch [95/100], Step[383/526], Loss: 0.6939
Epoch [95/100], Step[384/526], Loss: 0.6346
Epoch [95/100], Step[385/526], Loss: 0.6288
Epoch [95/100], Step[386/526], Loss: 0.6277
Epoch [95/100], Step[387/526], Loss: 0.6451
Epoch [95/100], Step[388/526], Loss: 0.5835
Epoch [95/100], Step[389/526], Loss: 0.7330
Epoch [95/100], Step[390/526], Loss: 0.5635
Epoch [95/100], Step[391/526], Loss: 0.6264
Epoch [95/100], Step[392/526], Loss: 0.7263
Epoch [95/100], Step[393/526], Loss: 0.5806
Epoch [95/100], Step[394/526], Loss: 0.5059
Epoch [95/100], Step[395/526], Loss: 0.5854
Epoch [95/100], Step[396/526], Loss: 0.6304
Epoch [95/100], Step[397/526], Loss: 0.4761
Epoch [95/100], Step[398/526], Loss: 0.6123
Epoch [95/100], Step[399/526], Loss: 0.6678
Epoch [95/100], Step[400/526], Loss: 0.4684
Epoch [95/100], Step[401/526], Loss: 0.6060
Epoch [95/100], Step[402/526], Loss: 0.6389
Epoch [95/100], Step[403/526], Loss: 0.7515
Epoch [95/100], Step[404/526], Loss: 0.4728
Epoch [95/100], Step[405/526], Loss: 0.4921
Epoch [95/100], Step[406/526], Loss: 0.6338
Epoch [95/100], Step[407/526], Loss: 0.7635
Epoch [95/100], Step[408/526], Loss: 0.6660
Epoch [95/100], Step[409/526], Loss: 0.4762
Epoch [95/100], Step[410/526], Loss: 0.5041
Epoch [95/100], Step[411/526], Loss: 0.5328
Epoch [95/100], Step[412/526], Loss: 0.5980
Epoch [95/100], Step[413/526], Loss: 0.6065
Epoch [95/100], Step[414/526], Loss: 0.6467
Epoch [95/100], Step[415/526], Loss: 0.6055
Epoch [95/100], Step[416/526], Loss: 0.5879
Epoch [95/100], Step[417/526], Loss: 0.4619
Epoch [95/100], Step[418/526], Loss: 0.7733
Epoch [95/100], Step[419/526], Loss: 0.6705
Epoch [95/100], Step[420/526], Loss: 0.6788
Epoch [95/100], Step[421/526], Loss: 0.6591
Epoch [95/100], Step[422/526], Loss: 0.7534
Epoch [95/100], Step[423/526], Loss: 0.7014
Epoch [95/100], Step[424/526], Loss: 0.7508
Epoch [95/100], Step[425/526], Loss: 0.7093
Epoch [95/100], Step[426/526], Loss: 0.7466
Epoch [95/100], Step[427/526], Loss: 0.7059
Epoch [95/100], Step[428/526], Loss: 0.7090
Epoch [95/100], Step[429/526], Loss: 0.7425
Epoch [95/100], Step[430/526], Loss: 0.7788
Epoch [95/100], Step[431/526], Loss: 0.7046
Epoch [95/100], Step[432/526], Loss: 0.7196
Epoch [95/100], Step[433/526], Loss: 0.6703
Epoch [95/100], Step[434/526], Loss: 0.6059
Epoch [95/100], Step[435/526], Loss: 0.7677
Epoch [95/100], Step[436/526], Loss: 0.8083
Epoch [95/100], Step[437/526], Loss: 0.4837
Epoch [95/100], Step[438/526], Loss: 0.3716
Epoch [95/100], Step[439/526], Loss: 0.7172
Epoch [95/100], Step[440/526], Loss: 0.6841
Epoch [95/100], Step[441/526], Loss: 0.6993
Epoch [95/100], Step[442/526], Loss: 0.6512
Epoch [95/100], Step[443/526], Loss: 0.6638
Epoch [95/100], Step[444/526], Loss: 0.7578
Epoch [95/100], Step[445/526], Loss: 0.7155
Epoch [95/100], Step[446/526], Loss: 0.6991
Epoch [95/100], Step[447/526], Loss: 0.7308
Epoch [95/100], Step[448/526], Loss: 0.7266
Epoch [95/100], Step[449/526], Loss: 0.6677
Epoch [95/100], Step[450/526], Loss: 0.5961
Epoch [95/100], Step[451/526], Loss: 0.6799
Epoch [95/100], Step[452/526], Loss: 0.7321
Epoch [95/100], Step[453/526], Loss: 0.7040
Epoch [95/100], Step[454/526], Loss: 0.8351
Epoch [95/100], Step[455/526], Loss: 0.6268
Epoch [95/100], Step[456/526], Loss: 0.6213
Epoch [95/100], Step[457/526], Loss: 0.7039
Epoch [95/100], Step[458/526], Loss: 0.6697
Epoch [95/100], Step[459/526], Loss: 0.6350
Epoch [95/100], Step[460/526], Loss: 0.6110
Epoch [95/100], Step[461/526], Loss: 0.5851
Epoch [95/100], Step[462/526], Loss: 0.6459
Epoch [95/100], Step[463/526], Loss: 0.6347
Epoch [95/100], Step[464/526], Loss: 0.6120
Epoch [95/100], Step[465/526], Loss: 0.6442
Epoch [95/100], Step[466/526], Loss: 0.6679
Epoch [95/100], Step[467/526], Loss: 0.6316
Epoch [95/100], Step[468/526], Loss: 0.5872
Epoch [95/100], Step[469/526], Loss: 0.8486
Epoch [95/100], Step[470/526], Loss: 0.6615
Epoch [95/100], Step[471/526], Loss: 0.6965
Epoch [95/100], Step[472/526], Loss: 0.6786
Epoch [95/100], Step[473/526], Loss: 0.6749
Epoch [95/100], Step[474/526], Loss: 0.6704
Epoch [95/100], Step[475/526], Loss: 0.8581
Epoch [95/100], Step[476/526], Loss: 0.7422
Epoch [95/100], Step[477/526], Loss: 0.6833
Epoch [95/100], Step[478/526], Loss: 0.6864
Epoch [95/100], Step[479/526], Loss: 0.6597
Epoch [95/100], Step[480/526], Loss: 0.7282
Epoch [95/100], Step[481/526], Loss: 0.7409
Epoch [95/100], Step[482/526], Loss: 0.6512
Epoch [95/100], Step[483/526], Loss: 0.5343
Epoch [95/100], Step[484/526], Loss: 0.7294
Epoch [95/100], Step[485/526], Loss: 0.7796
Epoch [95/100], Step[486/526], Loss: 0.7437
Epoch [95/100], Step[487/526], Loss: 0.7630
Epoch [95/100], Step[488/526], Loss: 0.6574
Epoch [95/100], Step[489/526], Loss: 0.6143
Epoch [95/100], Step[490/526], Loss: 0.5907
Epoch [95/100], Step[491/526], Loss: 0.6812
Epoch [95/100], Step[492/526], Loss: 0.6376
Epoch [95/100], Step[493/526], Loss: 0.6283
Epoch [95/100], Step[494/526], Loss: 0.6802
Epoch [95/100], Step[495/526], Loss: 0.6898
Epoch [95/100], Step[496/526], Loss: 0.6529
Epoch [95/100], Step[497/526], Loss: 0.6260
Epoch [95/100], Step[498/526], Loss: 0.6762
Epoch [95/100], Step[499/526], Loss: 0.6618
Epoch [95/100], Step[500/526], Loss: 0.7149
Epoch [95/100], Step[501/526], Loss: 0.6618
Epoch [95/100], Step[502/526], Loss: 0.7037
Epoch [95/100], Step[503/526], Loss: 0.7098
Epoch [95/100], Step[504/526], Loss: 0.7131
Epoch [95/100], Step[505/526], Loss: 0.7256
Epoch [95/100], Step[506/526], Loss: 0.6532
Epoch [95/100], Step[507/526], Loss: 0.6772
Epoch [95/100], Step[508/526], Loss: 0.7000
Epoch [95/100], Step[509/526], Loss: 0.6340
Epoch [95/100], Step[510/526], Loss: 0.7015
Epoch [95/100], Step[511/526], Loss: 0.6297
Epoch [95/100], Step[512/526], Loss: 0.6609
Epoch [95/100], Step[513/526], Loss: 0.6270
Epoch [95/100], Step[514/526], Loss: 0.6528
Epoch [95/100], Step[515/526], Loss: 0.5553
Epoch [95/100], Step[516/526], Loss: 0.7570
Epoch [95/100], Step[517/526], Loss: 0.6892
Epoch [95/100], Step[518/526], Loss: 0.7427
Epoch [95/100], Step[519/526], Loss: 0.7246
Epoch [95/100], Step[520/526], Loss: 0.6834
Epoch [95/100], Step[521/526], Loss: 0.6830
Epoch [95/100], Step[522/526], Loss: 0.5804
Epoch [95/100], Step[523/526], Loss: 0.6418
Epoch [95/100], Step[524/526], Loss: 0.6140
Epoch [95/100], Step[525/526], Loss: 0.7618
Epoch [95/100], Step[526/526], Loss: 0.7329
Epoch [96/100], Step[1/526], Loss: 0.6552
Epoch [96/100], Step[2/526], Loss: 0.6427
Epoch [96/100], Step[3/526], Loss: 0.6765
Epoch [96/100], Step[4/526], Loss: 0.6258
Epoch [96/100], Step[5/526], Loss: 0.7438
Epoch [96/100], Step[6/526], Loss: 0.7619
Epoch [96/100], Step[7/526], Loss: 0.6837
Epoch [96/100], Step[8/526], Loss: 0.6766
Epoch [96/100], Step[9/526], Loss: 0.6963
Epoch [96/100], Step[10/526], Loss: 0.6430
Epoch [96/100], Step[11/526], Loss: 0.7032
Epoch [96/100], Step[12/526], Loss: 0.7478
Epoch [96/100], Step[13/526], Loss: 0.6047
Epoch [96/100], Step[14/526], Loss: 0.6605
Epoch [96/100], Step[15/526], Loss: 0.6745
Epoch [96/100], Step[16/526], Loss: 0.7126
Epoch [96/100], Step[17/526], Loss: 0.7193
Epoch [96/100], Step[18/526], Loss: 0.6486
Epoch [96/100], Step[19/526], Loss: 0.6944
Epoch [96/100], Step[20/526], Loss: 0.7462
Epoch [96/100], Step[21/526], Loss: 0.7715
Epoch [96/100], Step[22/526], Loss: 0.7485
Epoch [96/100], Step[23/526], Loss: 0.7368
Epoch [96/100], Step[24/526], Loss: 0.7264
Epoch [96/100], Step[25/526], Loss: 0.6960
Epoch [96/100], Step[26/526], Loss: 0.6246
Epoch [96/100], Step[27/526], Loss: 0.6809
Epoch [96/100], Step[28/526], Loss: 0.6897
Epoch [96/100], Step[29/526], Loss: 0.6434
Epoch [96/100], Step[30/526], Loss: 0.6948
Epoch [96/100], Step[31/526], Loss: 0.7076
Epoch [96/100], Step[32/526], Loss: 0.6716
Epoch [96/100], Step[33/526], Loss: 0.7123
Epoch [96/100], Step[34/526], Loss: 0.7040
Epoch [96/100], Step[35/526], Loss: 0.7302
Epoch [96/100], Step[36/526], Loss: 0.7070
Epoch [96/100], Step[37/526], Loss: 0.6895
Epoch [96/100], Step[38/526], Loss: 0.7199
Epoch [96/100], Step[39/526], Loss: 0.6814
Epoch [96/100], Step[40/526], Loss: 0.7026
Epoch [96/100], Step[41/526], Loss: 0.6661
Epoch [96/100], Step[42/526], Loss: 0.7279
Epoch [96/100], Step[43/526], Loss: 0.7134
Epoch [96/100], Step[44/526], Loss: 0.6948
Epoch [96/100], Step[45/526], Loss: 0.7011
Epoch [96/100], Step[46/526], Loss: 0.6785
Epoch [96/100], Step[47/526], Loss: 0.6912
Epoch [96/100], Step[48/526], Loss: 0.7193
Epoch [96/100], Step[49/526], Loss: 0.7026
Epoch [96/100], Step[50/526], Loss: 0.6979
Epoch [96/100], Step[51/526], Loss: 0.7014
Epoch [96/100], Step[52/526], Loss: 0.6782
Epoch [96/100], Step[53/526], Loss: 0.7174
Epoch [96/100], Step[54/526], Loss: 0.6987
Epoch [96/100], Step[55/526], Loss: 0.6992
Epoch [96/100], Step[56/526], Loss: 0.6782
Epoch [96/100], Step[57/526], Loss: 0.6861
Epoch [96/100], Step[58/526], Loss: 0.6691
Epoch [96/100], Step[59/526], Loss: 0.6583
Epoch [96/100], Step[60/526], Loss: 0.6582
Epoch [96/100], Step[61/526], Loss: 0.6588
Epoch [96/100], Step[62/526], Loss: 0.7064
Epoch [96/100], Step[63/526], Loss: 0.6835
Epoch [96/100], Step[64/526], Loss: 0.6750
Epoch [96/100], Step[65/526], Loss: 0.7218
Epoch [96/100], Step[66/526], Loss: 0.6806
Epoch [96/100], Step[67/526], Loss: 0.6362
Epoch [96/100], Step[68/526], Loss: 0.6553
Epoch [96/100], Step[69/526], Loss: 0.6869
Epoch [96/100], Step[70/526], Loss: 0.6751
Epoch [96/100], Step[71/526], Loss: 0.6615
Epoch [96/100], Step[72/526], Loss: 0.6875
Epoch [96/100], Step[73/526], Loss: 0.7160
Epoch [96/100], Step[74/526], Loss: 0.6564
Epoch [96/100], Step[75/526], Loss: 0.7041
Epoch [96/100], Step[76/526], Loss: 0.6955
Epoch [96/100], Step[77/526], Loss: 0.7043
Epoch [96/100], Step[78/526], Loss: 0.7027
Epoch [96/100], Step[79/526], Loss: 0.6988
Epoch [96/100], Step[80/526], Loss: 0.7034
Epoch [96/100], Step[81/526], Loss: 0.7026
Epoch [96/100], Step[82/526], Loss: 0.7277
Epoch [96/100], Step[83/526], Loss: 0.7013
Epoch [96/100], Step[84/526], Loss: 0.6832
Epoch [96/100], Step[85/526], Loss: 0.6603
Epoch [96/100], Step[86/526], Loss: 0.6801
Epoch [96/100], Step[87/526], Loss: 0.6883
Epoch [96/100], Step[88/526], Loss: 0.6933
Epoch [96/100], Step[89/526], Loss: 0.7304
Epoch [96/100], Step[90/526], Loss: 0.6715
Epoch [96/100], Step[91/526], Loss: 0.6878
Epoch [96/100], Step[92/526], Loss: 0.6760
Epoch [96/100], Step[93/526], Loss: 0.6967
Epoch [96/100], Step[94/526], Loss: 0.8057
Epoch [96/100], Step[95/526], Loss: 0.7229
Epoch [96/100], Step[96/526], Loss: 0.6205
Epoch [96/100], Step[97/526], Loss: 0.5781
Epoch [96/100], Step[98/526], Loss: 0.6834
Epoch [96/100], Step[99/526], Loss: 0.6880
Epoch [96/100], Step[100/526], Loss: 0.6405
Epoch [96/100], Step[101/526], Loss: 0.6628
Epoch [96/100], Step[102/526], Loss: 0.6273
Epoch [96/100], Step[103/526], Loss: 0.7301
Epoch [96/100], Step[104/526], Loss: 0.6533
Epoch [96/100], Step[105/526], Loss: 0.6113
Epoch [96/100], Step[106/526], Loss: 0.6845
Epoch [96/100], Step[107/526], Loss: 0.6091
Epoch [96/100], Step[108/526], Loss: 0.5843
Epoch [96/100], Step[109/526], Loss: 0.6518
Epoch [96/100], Step[110/526], Loss: 0.6819
Epoch [96/100], Step[111/526], Loss: 0.6059
Epoch [96/100], Step[112/526], Loss: 0.7252
Epoch [96/100], Step[113/526], Loss: 0.6069
Epoch [96/100], Step[114/526], Loss: 0.6457
Epoch [96/100], Step[115/526], Loss: 0.5916
Epoch [96/100], Step[116/526], Loss: 0.6316
Epoch [96/100], Step[117/526], Loss: 0.6957
Epoch [96/100], Step[118/526], Loss: 0.7655
Epoch [96/100], Step[119/526], Loss: 0.6804
Epoch [96/100], Step[120/526], Loss: 0.6678
Epoch [96/100], Step[121/526], Loss: 0.6899
Epoch [96/100], Step[122/526], Loss: 0.6080
Epoch [96/100], Step[123/526], Loss: 0.6550
Epoch [96/100], Step[124/526], Loss: 0.6689
Epoch [96/100], Step[125/526], Loss: 0.6338
Epoch [96/100], Step[126/526], Loss: 0.7141
Epoch [96/100], Step[127/526], Loss: 0.6637
Epoch [96/100], Step[128/526], Loss: 0.6220
Epoch [96/100], Step[129/526], Loss: 0.6055
Epoch [96/100], Step[130/526], Loss: 0.6343
Epoch [96/100], Step[131/526], Loss: 0.6699
Epoch [96/100], Step[132/526], Loss: 0.7100
Epoch [96/100], Step[133/526], Loss: 0.6727
Epoch [96/100], Step[134/526], Loss: 0.6299
Epoch [96/100], Step[135/526], Loss: 0.6400
Epoch [96/100], Step[136/526], Loss: 0.5568
Epoch [96/100], Step[137/526], Loss: 0.6555
Epoch [96/100], Step[138/526], Loss: 0.6557
Epoch [96/100], Step[139/526], Loss: 0.6936
Epoch [96/100], Step[140/526], Loss: 0.5842
Epoch [96/100], Step[141/526], Loss: 0.6575
Epoch [96/100], Step[142/526], Loss: 0.6728
Epoch [96/100], Step[143/526], Loss: 0.6944
Epoch [96/100], Step[144/526], Loss: 0.7771
Epoch [96/100], Step[145/526], Loss: 0.5209
Epoch [96/100], Step[146/526], Loss: 0.5010
Epoch [96/100], Step[147/526], Loss: 0.4719
Epoch [96/100], Step[148/526], Loss: 0.5965
Epoch [96/100], Step[149/526], Loss: 0.5054
Epoch [96/100], Step[150/526], Loss: 0.5476
Epoch [96/100], Step[151/526], Loss: 0.5398
Epoch [96/100], Step[152/526], Loss: 0.6253
Epoch [96/100], Step[153/526], Loss: 0.6461
Epoch [96/100], Step[154/526], Loss: 0.7077
Epoch [96/100], Step[155/526], Loss: 0.7252
Epoch [96/100], Step[156/526], Loss: 0.5366
Epoch [96/100], Step[157/526], Loss: 0.2713
Epoch [96/100], Step[158/526], Loss: 0.5865
Epoch [96/100], Step[159/526], Loss: 0.6556
Epoch [96/100], Step[160/526], Loss: 0.5584
Epoch [96/100], Step[161/526], Loss: 0.8012
Epoch [96/100], Step[162/526], Loss: 0.7113
Epoch [96/100], Step[163/526], Loss: 0.7226
Epoch [96/100], Step[164/526], Loss: 0.6240
Epoch [96/100], Step[165/526], Loss: 0.7307
Epoch [96/100], Step[166/526], Loss: 0.5263
Epoch [96/100], Step[167/526], Loss: 0.5616
Epoch [96/100], Step[168/526], Loss: 0.6883
Epoch [96/100], Step[169/526], Loss: 0.7411
Epoch [96/100], Step[170/526], Loss: 0.7052
Epoch [96/100], Step[171/526], Loss: 0.7383
Epoch [96/100], Step[172/526], Loss: 0.7133
Epoch [96/100], Step[173/526], Loss: 0.8137
Epoch [96/100], Step[174/526], Loss: 0.6284
Epoch [96/100], Step[175/526], Loss: 0.6751
Epoch [96/100], Step[176/526], Loss: 0.6090
Epoch [96/100], Step[177/526], Loss: 0.6660
Epoch [96/100], Step[178/526], Loss: 0.6881
Epoch [96/100], Step[179/526], Loss: 0.6170
Epoch [96/100], Step[180/526], Loss: 0.6775
Epoch [96/100], Step[181/526], Loss: 0.6515
Epoch [96/100], Step[182/526], Loss: 0.6614
Epoch [96/100], Step[183/526], Loss: 0.5461
Epoch [96/100], Step[184/526], Loss: 0.6109
Epoch [96/100], Step[185/526], Loss: 0.6130
Epoch [96/100], Step[186/526], Loss: 0.6340
Epoch [96/100], Step[187/526], Loss: 0.7548
Epoch [96/100], Step[188/526], Loss: 0.6908
Epoch [96/100], Step[189/526], Loss: 0.6616
Epoch [96/100], Step[190/526], Loss: 0.7043
Epoch [96/100], Step[191/526], Loss: 0.6882
Epoch [96/100], Step[192/526], Loss: 0.8315
Epoch [96/100], Step[193/526], Loss: 0.6482
Epoch [96/100], Step[194/526], Loss: 0.6100
Epoch [96/100], Step[195/526], Loss: 0.6509
Epoch [96/100], Step[196/526], Loss: 0.7275
Epoch [96/100], Step[197/526], Loss: 0.6799
Epoch [96/100], Step[198/526], Loss: 0.6295
Epoch [96/100], Step[199/526], Loss: 0.7480
Epoch [96/100], Step[200/526], Loss: 0.6825
Epoch [96/100], Step[201/526], Loss: 0.6747
Epoch [96/100], Step[202/526], Loss: 0.7325
Epoch [96/100], Step[203/526], Loss: 0.7063
Epoch [96/100], Step[204/526], Loss: 0.7089
Epoch [96/100], Step[205/526], Loss: 0.6872
Epoch [96/100], Step[206/526], Loss: 0.6842
Epoch [96/100], Step[207/526], Loss: 0.7106
Epoch [96/100], Step[208/526], Loss: 0.6810
Epoch [96/100], Step[209/526], Loss: 0.6793
Epoch [96/100], Step[210/526], Loss: 0.7510
Epoch [96/100], Step[211/526], Loss: 0.6303
Epoch [96/100], Step[212/526], Loss: 0.6863
Epoch [96/100], Step[213/526], Loss: 0.7182
Epoch [96/100], Step[214/526], Loss: 0.7196
Epoch [96/100], Step[215/526], Loss: 0.6870
Epoch [96/100], Step[216/526], Loss: 0.6760
Epoch [96/100], Step[217/526], Loss: 0.6509
Epoch [96/100], Step[218/526], Loss: 0.6973
Epoch [96/100], Step[219/526], Loss: 0.6945
Epoch [96/100], Step[220/526], Loss: 0.7155
Epoch [96/100], Step[221/526], Loss: 0.6937
Epoch [96/100], Step[222/526], Loss: 0.7292
Epoch [96/100], Step[223/526], Loss: 0.6326
Epoch [96/100], Step[224/526], Loss: 0.6556
Epoch [96/100], Step[225/526], Loss: 0.7063
Epoch [96/100], Step[226/526], Loss: 0.6699
Epoch [96/100], Step[227/526], Loss: 0.6564
Epoch [96/100], Step[228/526], Loss: 0.6703
Epoch [96/100], Step[229/526], Loss: 0.6904
Epoch [96/100], Step[230/526], Loss: 0.6488
Epoch [96/100], Step[231/526], Loss: 0.6533
Epoch [96/100], Step[232/526], Loss: 0.6852
Epoch [96/100], Step[233/526], Loss: 0.6793
Epoch [96/100], Step[234/526], Loss: 0.6210
Epoch [96/100], Step[235/526], Loss: 0.6674
Epoch [96/100], Step[236/526], Loss: 0.6686
Epoch [96/100], Step[237/526], Loss: 0.7169
Epoch [96/100], Step[238/526], Loss: 0.6159
Epoch [96/100], Step[239/526], Loss: 0.6065
Epoch [96/100], Step[240/526], Loss: 0.6411
Epoch [96/100], Step[241/526], Loss: 0.6211
Epoch [96/100], Step[242/526], Loss: 0.5903
Epoch [96/100], Step[243/526], Loss: 0.5771
Epoch [96/100], Step[244/526], Loss: 0.5325
Epoch [96/100], Step[245/526], Loss: 0.5747
Epoch [96/100], Step[246/526], Loss: 0.6462
Epoch [96/100], Step[247/526], Loss: 0.4981
Epoch [96/100], Step[248/526], Loss: 0.5616
Epoch [96/100], Step[249/526], Loss: 0.8331
Epoch [96/100], Step[250/526], Loss: 0.7968
Epoch [96/100], Step[251/526], Loss: 0.6955
Epoch [96/100], Step[252/526], Loss: 0.6817
Epoch [96/100], Step[253/526], Loss: 0.6090
Epoch [96/100], Step[254/526], Loss: 0.6906
Epoch [96/100], Step[255/526], Loss: 0.5885
Epoch [96/100], Step[256/526], Loss: 0.6570
Epoch [96/100], Step[257/526], Loss: 0.5340
Epoch [96/100], Step[258/526], Loss: 0.6057
Epoch [96/100], Step[259/526], Loss: 0.7043
Epoch [96/100], Step[260/526], Loss: 0.6655
Epoch [96/100], Step[261/526], Loss: 0.7545
Epoch [96/100], Step[262/526], Loss: 0.5600
Epoch [96/100], Step[263/526], Loss: 0.6259
Epoch [96/100], Step[264/526], Loss: 0.5905
Epoch [96/100], Step[265/526], Loss: 0.3304
Epoch [96/100], Step[266/526], Loss: 0.3230
Epoch [96/100], Step[267/526], Loss: 0.4819
Epoch [96/100], Step[268/526], Loss: 0.5710
Epoch [96/100], Step[269/526], Loss: 0.4850
Epoch [96/100], Step[270/526], Loss: 0.4230
Epoch [96/100], Step[271/526], Loss: 0.5687
Epoch [96/100], Step[272/526], Loss: 0.5620
Epoch [96/100], Step[273/526], Loss: 0.6526
Epoch [96/100], Step[274/526], Loss: 0.4543
Epoch [96/100], Step[275/526], Loss: 0.4127
Epoch [96/100], Step[276/526], Loss: 0.4901
Epoch [96/100], Step[277/526], Loss: 0.3996
Epoch [96/100], Step[278/526], Loss: 0.4897
Epoch [96/100], Step[279/526], Loss: 0.4702
Epoch [96/100], Step[280/526], Loss: 0.5161
Epoch [96/100], Step[281/526], Loss: 0.6880
Epoch [96/100], Step[282/526], Loss: 0.4266
Epoch [96/100], Step[283/526], Loss: 0.3694
Epoch [96/100], Step[284/526], Loss: 0.4581
Epoch [96/100], Step[285/526], Loss: 0.3032
Epoch [96/100], Step[286/526], Loss: 0.7221
Epoch [96/100], Step[287/526], Loss: 0.5027
Epoch [96/100], Step[288/526], Loss: 0.4164
Epoch [96/100], Step[289/526], Loss: 0.6033
Epoch [96/100], Step[290/526], Loss: 0.4534
Epoch [96/100], Step[291/526], Loss: 0.4579
Epoch [96/100], Step[292/526], Loss: 0.3026
Epoch [96/100], Step[293/526], Loss: 0.3182
Epoch [96/100], Step[294/526], Loss: 0.3588
Epoch [96/100], Step[295/526], Loss: 0.4660
Epoch [96/100], Step[296/526], Loss: 0.6051
Epoch [96/100], Step[297/526], Loss: 0.3589
Epoch [96/100], Step[298/526], Loss: 0.3149
Epoch [96/100], Step[299/526], Loss: 0.2610
Epoch [96/100], Step[300/526], Loss: 0.2745
Epoch [96/100], Step[301/526], Loss: 0.6439
Epoch [96/100], Step[302/526], Loss: 0.3903
Epoch [96/100], Step[303/526], Loss: 0.4360
Epoch [96/100], Step[304/526], Loss: 0.2689
Epoch [96/100], Step[305/526], Loss: 0.2823
Epoch [96/100], Step[306/526], Loss: 0.5691
Epoch [96/100], Step[307/526], Loss: 0.8913
Epoch [96/100], Step[308/526], Loss: 1.3190
Epoch [96/100], Step[309/526], Loss: 0.9187
Epoch [96/100], Step[310/526], Loss: 0.9039
Epoch [96/100], Step[311/526], Loss: 0.7998
Epoch [96/100], Step[312/526], Loss: 0.4740
Epoch [96/100], Step[313/526], Loss: 0.4526
Epoch [96/100], Step[314/526], Loss: 0.6103
Epoch [96/100], Step[315/526], Loss: 0.7594
Epoch [96/100], Step[316/526], Loss: 0.4932
Epoch [96/100], Step[317/526], Loss: 0.3288
Epoch [96/100], Step[318/526], Loss: 0.7837
Epoch [96/100], Step[319/526], Loss: 0.3626
Epoch [96/100], Step[320/526], Loss: 0.6479
Epoch [96/100], Step[321/526], Loss: 0.7460
Epoch [96/100], Step[322/526], Loss: 0.2808
Epoch [96/100], Step[323/526], Loss: 0.6169
Epoch [96/100], Step[324/526], Loss: 0.6757
Epoch [96/100], Step[325/526], Loss: 0.5819
Epoch [96/100], Step[326/526], Loss: 0.7561
Epoch [96/100], Step[327/526], Loss: 0.7189
Epoch [96/100], Step[328/526], Loss: 0.9383
Epoch [96/100], Step[329/526], Loss: 1.3114
Epoch [96/100], Step[330/526], Loss: 1.0637
Epoch [96/100], Step[331/526], Loss: 0.7786
Epoch [96/100], Step[332/526], Loss: 0.8570
Epoch [96/100], Step[333/526], Loss: 0.7457
Epoch [96/100], Step[334/526], Loss: 0.7535
Epoch [96/100], Step[335/526], Loss: 0.7667
Epoch [96/100], Step[336/526], Loss: 0.6646
Epoch [96/100], Step[337/526], Loss: 0.5807
Epoch [96/100], Step[338/526], Loss: 0.7081
Epoch [96/100], Step[339/526], Loss: 0.6617
Epoch [96/100], Step[340/526], Loss: 0.7235
Epoch [96/100], Step[341/526], Loss: 0.7603
Epoch [96/100], Step[342/526], Loss: 0.7621
Epoch [96/100], Step[343/526], Loss: 0.5254
Epoch [96/100], Step[344/526], Loss: 0.6675
Epoch [96/100], Step[345/526], Loss: 0.7037
Epoch [96/100], Step[346/526], Loss: 0.7085
Epoch [96/100], Step[347/526], Loss: 0.7493
Epoch [96/100], Step[348/526], Loss: 0.6212
Epoch [96/100], Step[349/526], Loss: 0.5722
Epoch [96/100], Step[350/526], Loss: 0.6310
Epoch [96/100], Step[351/526], Loss: 0.6878
Epoch [96/100], Step[352/526], Loss: 0.6306
Epoch [96/100], Step[353/526], Loss: 0.6689
Epoch [96/100], Step[354/526], Loss: 0.6754
Epoch [96/100], Step[355/526], Loss: 0.6665
Epoch [96/100], Step[356/526], Loss: 0.6872
Epoch [96/100], Step[357/526], Loss: 0.6341
Epoch [96/100], Step[358/526], Loss: 0.7101
Epoch [96/100], Step[359/526], Loss: 0.6245
Epoch [96/100], Step[360/526], Loss: 0.6783
Epoch [96/100], Step[361/526], Loss: 0.7299
Epoch [96/100], Step[362/526], Loss: 0.6993
Epoch [96/100], Step[363/526], Loss: 0.7116
Epoch [96/100], Step[364/526], Loss: 0.7161
Epoch [96/100], Step[365/526], Loss: 0.7184
Epoch [96/100], Step[366/526], Loss: 0.6803
Epoch [96/100], Step[367/526], Loss: 0.6870
Epoch [96/100], Step[368/526], Loss: 0.6646
Epoch [96/100], Step[369/526], Loss: 0.6257
Epoch [96/100], Step[370/526], Loss: 0.5713
Epoch [96/100], Step[371/526], Loss: 0.7493
Epoch [96/100], Step[372/526], Loss: 0.6066
Epoch [96/100], Step[373/526], Loss: 0.6625
Epoch [96/100], Step[374/526], Loss: 0.6896
Epoch [96/100], Step[375/526], Loss: 0.6354
Epoch [96/100], Step[376/526], Loss: 0.6369
Epoch [96/100], Step[377/526], Loss: 0.6791
Epoch [96/100], Step[378/526], Loss: 0.6909
Epoch [96/100], Step[379/526], Loss: 0.8183
Epoch [96/100], Step[380/526], Loss: 0.5974
Epoch [96/100], Step[381/526], Loss: 0.5673
Epoch [96/100], Step[382/526], Loss: 0.6654
Epoch [96/100], Step[383/526], Loss: 0.6927
Epoch [96/100], Step[384/526], Loss: 0.6338
Epoch [96/100], Step[385/526], Loss: 0.6375
Epoch [96/100], Step[386/526], Loss: 0.6264
Epoch [96/100], Step[387/526], Loss: 0.6486
Epoch [96/100], Step[388/526], Loss: 0.5840
Epoch [96/100], Step[389/526], Loss: 0.7353
Epoch [96/100], Step[390/526], Loss: 0.5632
Epoch [96/100], Step[391/526], Loss: 0.6281
Epoch [96/100], Step[392/526], Loss: 0.7272
Epoch [96/100], Step[393/526], Loss: 0.5809
Epoch [96/100], Step[394/526], Loss: 0.5099
Epoch [96/100], Step[395/526], Loss: 0.5799
Epoch [96/100], Step[396/526], Loss: 0.6345
Epoch [96/100], Step[397/526], Loss: 0.4783
Epoch [96/100], Step[398/526], Loss: 0.6081
Epoch [96/100], Step[399/526], Loss: 0.6622
Epoch [96/100], Step[400/526], Loss: 0.4765
Epoch [96/100], Step[401/526], Loss: 0.6112
Epoch [96/100], Step[402/526], Loss: 0.6447
Epoch [96/100], Step[403/526], Loss: 0.7567
Epoch [96/100], Step[404/526], Loss: 0.4763
Epoch [96/100], Step[405/526], Loss: 0.4929
Epoch [96/100], Step[406/526], Loss: 0.6330
Epoch [96/100], Step[407/526], Loss: 0.7592
Epoch [96/100], Step[408/526], Loss: 0.6683
Epoch [96/100], Step[409/526], Loss: 0.4795
Epoch [96/100], Step[410/526], Loss: 0.5104
Epoch [96/100], Step[411/526], Loss: 0.5371
Epoch [96/100], Step[412/526], Loss: 0.6022
Epoch [96/100], Step[413/526], Loss: 0.6105
Epoch [96/100], Step[414/526], Loss: 0.6468
Epoch [96/100], Step[415/526], Loss: 0.6060
Epoch [96/100], Step[416/526], Loss: 0.5889
Epoch [96/100], Step[417/526], Loss: 0.4638
Epoch [96/100], Step[418/526], Loss: 0.7746
Epoch [96/100], Step[419/526], Loss: 0.6696
Epoch [96/100], Step[420/526], Loss: 0.6798
Epoch [96/100], Step[421/526], Loss: 0.6589
Epoch [96/100], Step[422/526], Loss: 0.7492
Epoch [96/100], Step[423/526], Loss: 0.7030
Epoch [96/100], Step[424/526], Loss: 0.7532
Epoch [96/100], Step[425/526], Loss: 0.7090
Epoch [96/100], Step[426/526], Loss: 0.7484
Epoch [96/100], Step[427/526], Loss: 0.7064
Epoch [96/100], Step[428/526], Loss: 0.7095
Epoch [96/100], Step[429/526], Loss: 0.7437
Epoch [96/100], Step[430/526], Loss: 0.7778
Epoch [96/100], Step[431/526], Loss: 0.7041
Epoch [96/100], Step[432/526], Loss: 0.7192
Epoch [96/100], Step[433/526], Loss: 0.6705
Epoch [96/100], Step[434/526], Loss: 0.6061
Epoch [96/100], Step[435/526], Loss: 0.7666
Epoch [96/100], Step[436/526], Loss: 0.8078
Epoch [96/100], Step[437/526], Loss: 0.4835
Epoch [96/100], Step[438/526], Loss: 0.3722
Epoch [96/100], Step[439/526], Loss: 0.7172
Epoch [96/100], Step[440/526], Loss: 0.6826
Epoch [96/100], Step[441/526], Loss: 0.6994
Epoch [96/100], Step[442/526], Loss: 0.6517
Epoch [96/100], Step[443/526], Loss: 0.6646
Epoch [96/100], Step[444/526], Loss: 0.7578
Epoch [96/100], Step[445/526], Loss: 0.7157
Epoch [96/100], Step[446/526], Loss: 0.6972
Epoch [96/100], Step[447/526], Loss: 0.7320
Epoch [96/100], Step[448/526], Loss: 0.7272
Epoch [96/100], Step[449/526], Loss: 0.6672
Epoch [96/100], Step[450/526], Loss: 0.5930
Epoch [96/100], Step[451/526], Loss: 0.6798
Epoch [96/100], Step[452/526], Loss: 0.7319
Epoch [96/100], Step[453/526], Loss: 0.7020
Epoch [96/100], Step[454/526], Loss: 0.8377
Epoch [96/100], Step[455/526], Loss: 0.6190
Epoch [96/100], Step[456/526], Loss: 0.6223
Epoch [96/100], Step[457/526], Loss: 0.7062
Epoch [96/100], Step[458/526], Loss: 0.6622
Epoch [96/100], Step[459/526], Loss: 0.6324
Epoch [96/100], Step[460/526], Loss: 0.6022
Epoch [96/100], Step[461/526], Loss: 0.5826
Epoch [96/100], Step[462/526], Loss: 0.6445
Epoch [96/100], Step[463/526], Loss: 0.6326
Epoch [96/100], Step[464/526], Loss: 0.6097
Epoch [96/100], Step[465/526], Loss: 0.6418
Epoch [96/100], Step[466/526], Loss: 0.6668
Epoch [96/100], Step[467/526], Loss: 0.6307
Epoch [96/100], Step[468/526], Loss: 0.5848
Epoch [96/100], Step[469/526], Loss: 0.8533
Epoch [96/100], Step[470/526], Loss: 0.6613
Epoch [96/100], Step[471/526], Loss: 0.6965
Epoch [96/100], Step[472/526], Loss: 0.6772
Epoch [96/100], Step[473/526], Loss: 0.6741
Epoch [96/100], Step[474/526], Loss: 0.6695
Epoch [96/100], Step[475/526], Loss: 0.8580
Epoch [96/100], Step[476/526], Loss: 0.7412
Epoch [96/100], Step[477/526], Loss: 0.6828
Epoch [96/100], Step[478/526], Loss: 0.6887
Epoch [96/100], Step[479/526], Loss: 0.6605
Epoch [96/100], Step[480/526], Loss: 0.7289
Epoch [96/100], Step[481/526], Loss: 0.7381
Epoch [96/100], Step[482/526], Loss: 0.6502
Epoch [96/100], Step[483/526], Loss: 0.5319
Epoch [96/100], Step[484/526], Loss: 0.7277
Epoch [96/100], Step[485/526], Loss: 0.7848
Epoch [96/100], Step[486/526], Loss: 0.7424
Epoch [96/100], Step[487/526], Loss: 0.7585
Epoch [96/100], Step[488/526], Loss: 0.6528
Epoch [96/100], Step[489/526], Loss: 0.6138
Epoch [96/100], Step[490/526], Loss: 0.5845
Epoch [96/100], Step[491/526], Loss: 0.6685
Epoch [96/100], Step[492/526], Loss: 0.6402
Epoch [96/100], Step[493/526], Loss: 0.6260
Epoch [96/100], Step[494/526], Loss: 0.6806
Epoch [96/100], Step[495/526], Loss: 0.6894
Epoch [96/100], Step[496/526], Loss: 0.6508
Epoch [96/100], Step[497/526], Loss: 0.6232
Epoch [96/100], Step[498/526], Loss: 0.6775
Epoch [96/100], Step[499/526], Loss: 0.6619
Epoch [96/100], Step[500/526], Loss: 0.7163
Epoch [96/100], Step[501/526], Loss: 0.6633
Epoch [96/100], Step[502/526], Loss: 0.7042
Epoch [96/100], Step[503/526], Loss: 0.7111
Epoch [96/100], Step[504/526], Loss: 0.7110
Epoch [96/100], Step[505/526], Loss: 0.7264
Epoch [96/100], Step[506/526], Loss: 0.6547
Epoch [96/100], Step[507/526], Loss: 0.6764
Epoch [96/100], Step[508/526], Loss: 0.7016
Epoch [96/100], Step[509/526], Loss: 0.6362
Epoch [96/100], Step[510/526], Loss: 0.7023
Epoch [96/100], Step[511/526], Loss: 0.6298
Epoch [96/100], Step[512/526], Loss: 0.6604
Epoch [96/100], Step[513/526], Loss: 0.6313
Epoch [96/100], Step[514/526], Loss: 0.6516
Epoch [96/100], Step[515/526], Loss: 0.5546
Epoch [96/100], Step[516/526], Loss: 0.7552
Epoch [96/100], Step[517/526], Loss: 0.6916
Epoch [96/100], Step[518/526], Loss: 0.7424
Epoch [96/100], Step[519/526], Loss: 0.7255
Epoch [96/100], Step[520/526], Loss: 0.6854
Epoch [96/100], Step[521/526], Loss: 0.6872
Epoch [96/100], Step[522/526], Loss: 0.5830
Epoch [96/100], Step[523/526], Loss: 0.6427
Epoch [96/100], Step[524/526], Loss: 0.6163
Epoch [96/100], Step[525/526], Loss: 0.7618
Epoch [96/100], Step[526/526], Loss: 0.7201
Epoch [97/100], Step[1/526], Loss: 0.6544
Epoch [97/100], Step[2/526], Loss: 0.6441
Epoch [97/100], Step[3/526], Loss: 0.6712
Epoch [97/100], Step[4/526], Loss: 0.6285
Epoch [97/100], Step[5/526], Loss: 0.7437
Epoch [97/100], Step[6/526], Loss: 0.7551
Epoch [97/100], Step[7/526], Loss: 0.6872
Epoch [97/100], Step[8/526], Loss: 0.6766
Epoch [97/100], Step[9/526], Loss: 0.6981
Epoch [97/100], Step[10/526], Loss: 0.6480
Epoch [97/100], Step[11/526], Loss: 0.6923
Epoch [97/100], Step[12/526], Loss: 0.7443
Epoch [97/100], Step[13/526], Loss: 0.6056
Epoch [97/100], Step[14/526], Loss: 0.6622
Epoch [97/100], Step[15/526], Loss: 0.6748
Epoch [97/100], Step[16/526], Loss: 0.7133
Epoch [97/100], Step[17/526], Loss: 0.7132
Epoch [97/100], Step[18/526], Loss: 0.6524
Epoch [97/100], Step[19/526], Loss: 0.6937
Epoch [97/100], Step[20/526], Loss: 0.7587
Epoch [97/100], Step[21/526], Loss: 0.7746
Epoch [97/100], Step[22/526], Loss: 0.7493
Epoch [97/100], Step[23/526], Loss: 0.7377
Epoch [97/100], Step[24/526], Loss: 0.7333
Epoch [97/100], Step[25/526], Loss: 0.6965
Epoch [97/100], Step[26/526], Loss: 0.6235
Epoch [97/100], Step[27/526], Loss: 0.6788
Epoch [97/100], Step[28/526], Loss: 0.6959
Epoch [97/100], Step[29/526], Loss: 0.6424
Epoch [97/100], Step[30/526], Loss: 0.6906
Epoch [97/100], Step[31/526], Loss: 0.7075
Epoch [97/100], Step[32/526], Loss: 0.6728
Epoch [97/100], Step[33/526], Loss: 0.7130
Epoch [97/100], Step[34/526], Loss: 0.7049
Epoch [97/100], Step[35/526], Loss: 0.7300
Epoch [97/100], Step[36/526], Loss: 0.7089
Epoch [97/100], Step[37/526], Loss: 0.6900
Epoch [97/100], Step[38/526], Loss: 0.7200
Epoch [97/100], Step[39/526], Loss: 0.6816
Epoch [97/100], Step[40/526], Loss: 0.7053
Epoch [97/100], Step[41/526], Loss: 0.6673
Epoch [97/100], Step[42/526], Loss: 0.7277
Epoch [97/100], Step[43/526], Loss: 0.7136
Epoch [97/100], Step[44/526], Loss: 0.6941
Epoch [97/100], Step[45/526], Loss: 0.7016
Epoch [97/100], Step[46/526], Loss: 0.6716
Epoch [97/100], Step[47/526], Loss: 0.6910
Epoch [97/100], Step[48/526], Loss: 0.7176
Epoch [97/100], Step[49/526], Loss: 0.7024
Epoch [97/100], Step[50/526], Loss: 0.7004
Epoch [97/100], Step[51/526], Loss: 0.7019
Epoch [97/100], Step[52/526], Loss: 0.6797
Epoch [97/100], Step[53/526], Loss: 0.7202
Epoch [97/100], Step[54/526], Loss: 0.6999
Epoch [97/100], Step[55/526], Loss: 0.6906
Epoch [97/100], Step[56/526], Loss: 0.6776
Epoch [97/100], Step[57/526], Loss: 0.6861
Epoch [97/100], Step[58/526], Loss: 0.6697
Epoch [97/100], Step[59/526], Loss: 0.6600
Epoch [97/100], Step[60/526], Loss: 0.6577
Epoch [97/100], Step[61/526], Loss: 0.6555
Epoch [97/100], Step[62/526], Loss: 0.7069
Epoch [97/100], Step[63/526], Loss: 0.6839
Epoch [97/100], Step[64/526], Loss: 0.6712
Epoch [97/100], Step[65/526], Loss: 0.7206
Epoch [97/100], Step[66/526], Loss: 0.6801
Epoch [97/100], Step[67/526], Loss: 0.6389
Epoch [97/100], Step[68/526], Loss: 0.6546
Epoch [97/100], Step[69/526], Loss: 0.6855
Epoch [97/100], Step[70/526], Loss: 0.6758
Epoch [97/100], Step[71/526], Loss: 0.6633
Epoch [97/100], Step[72/526], Loss: 0.6878
Epoch [97/100], Step[73/526], Loss: 0.7171
Epoch [97/100], Step[74/526], Loss: 0.6597
Epoch [97/100], Step[75/526], Loss: 0.7064
Epoch [97/100], Step[76/526], Loss: 0.6933
Epoch [97/100], Step[77/526], Loss: 0.7043
Epoch [97/100], Step[78/526], Loss: 0.7013
Epoch [97/100], Step[79/526], Loss: 0.6883
Epoch [97/100], Step[80/526], Loss: 0.7004
Epoch [97/100], Step[81/526], Loss: 0.6985
Epoch [97/100], Step[82/526], Loss: 0.7308
Epoch [97/100], Step[83/526], Loss: 0.6964
Epoch [97/100], Step[84/526], Loss: 0.6835
Epoch [97/100], Step[85/526], Loss: 0.6545
Epoch [97/100], Step[86/526], Loss: 0.6835
Epoch [97/100], Step[87/526], Loss: 0.6840
Epoch [97/100], Step[88/526], Loss: 0.6986
Epoch [97/100], Step[89/526], Loss: 0.7302
Epoch [97/100], Step[90/526], Loss: 0.6868
Epoch [97/100], Step[91/526], Loss: 0.6825
Epoch [97/100], Step[92/526], Loss: 0.6843
Epoch [97/100], Step[93/526], Loss: 0.6959
Epoch [97/100], Step[94/526], Loss: 0.8011
Epoch [97/100], Step[95/526], Loss: 0.7229
Epoch [97/100], Step[96/526], Loss: 0.6218
Epoch [97/100], Step[97/526], Loss: 0.5792
Epoch [97/100], Step[98/526], Loss: 0.6880
Epoch [97/100], Step[99/526], Loss: 0.6873
Epoch [97/100], Step[100/526], Loss: 0.6416
Epoch [97/100], Step[101/526], Loss: 0.6610
Epoch [97/100], Step[102/526], Loss: 0.6263
Epoch [97/100], Step[103/526], Loss: 0.7241
Epoch [97/100], Step[104/526], Loss: 0.6523
Epoch [97/100], Step[105/526], Loss: 0.6103
Epoch [97/100], Step[106/526], Loss: 0.6838
Epoch [97/100], Step[107/526], Loss: 0.6109
Epoch [97/100], Step[108/526], Loss: 0.5842
Epoch [97/100], Step[109/526], Loss: 0.6505
Epoch [97/100], Step[110/526], Loss: 0.6846
Epoch [97/100], Step[111/526], Loss: 0.6049
Epoch [97/100], Step[112/526], Loss: 0.7284
Epoch [97/100], Step[113/526], Loss: 0.6072
Epoch [97/100], Step[114/526], Loss: 0.6466
Epoch [97/100], Step[115/526], Loss: 0.5912
Epoch [97/100], Step[116/526], Loss: 0.6327
Epoch [97/100], Step[117/526], Loss: 0.6961
Epoch [97/100], Step[118/526], Loss: 0.7655
Epoch [97/100], Step[119/526], Loss: 0.6810
Epoch [97/100], Step[120/526], Loss: 0.6696
Epoch [97/100], Step[121/526], Loss: 0.6887
Epoch [97/100], Step[122/526], Loss: 0.6080
Epoch [97/100], Step[123/526], Loss: 0.6488
Epoch [97/100], Step[124/526], Loss: 0.6676
Epoch [97/100], Step[125/526], Loss: 0.6337
Epoch [97/100], Step[126/526], Loss: 0.7140
Epoch [97/100], Step[127/526], Loss: 0.6630
Epoch [97/100], Step[128/526], Loss: 0.6222
Epoch [97/100], Step[129/526], Loss: 0.6049
Epoch [97/100], Step[130/526], Loss: 0.6396
Epoch [97/100], Step[131/526], Loss: 0.6679
Epoch [97/100], Step[132/526], Loss: 0.6961
Epoch [97/100], Step[133/526], Loss: 0.6574
Epoch [97/100], Step[134/526], Loss: 0.6287
Epoch [97/100], Step[135/526], Loss: 0.6397
Epoch [97/100], Step[136/526], Loss: 0.5576
Epoch [97/100], Step[137/526], Loss: 0.6557
Epoch [97/100], Step[138/526], Loss: 0.6450
Epoch [97/100], Step[139/526], Loss: 0.6938
Epoch [97/100], Step[140/526], Loss: 0.5765
Epoch [97/100], Step[141/526], Loss: 0.6576
Epoch [97/100], Step[142/526], Loss: 0.6728
Epoch [97/100], Step[143/526], Loss: 0.6949
Epoch [97/100], Step[144/526], Loss: 0.8550
Epoch [97/100], Step[145/526], Loss: 0.6627
Epoch [97/100], Step[146/526], Loss: 0.4993
Epoch [97/100], Step[147/526], Loss: 0.4904
Epoch [97/100], Step[148/526], Loss: 0.5982
Epoch [97/100], Step[149/526], Loss: 0.5121
Epoch [97/100], Step[150/526], Loss: 0.5456
Epoch [97/100], Step[151/526], Loss: 0.5345
Epoch [97/100], Step[152/526], Loss: 0.6319
Epoch [97/100], Step[153/526], Loss: 0.6422
Epoch [97/100], Step[154/526], Loss: 0.7123
Epoch [97/100], Step[155/526], Loss: 0.7227
Epoch [97/100], Step[156/526], Loss: 0.5358
Epoch [97/100], Step[157/526], Loss: 0.2695
Epoch [97/100], Step[158/526], Loss: 0.5873
Epoch [97/100], Step[159/526], Loss: 0.6570
Epoch [97/100], Step[160/526], Loss: 0.5561
Epoch [97/100], Step[161/526], Loss: 0.8075
Epoch [97/100], Step[162/526], Loss: 0.7090
Epoch [97/100], Step[163/526], Loss: 0.7221
Epoch [97/100], Step[164/526], Loss: 0.6231
Epoch [97/100], Step[165/526], Loss: 0.7248
Epoch [97/100], Step[166/526], Loss: 0.5232
Epoch [97/100], Step[167/526], Loss: 0.5575
Epoch [97/100], Step[168/526], Loss: 0.6850
Epoch [97/100], Step[169/526], Loss: 0.7439
Epoch [97/100], Step[170/526], Loss: 0.7099
Epoch [97/100], Step[171/526], Loss: 0.7424
Epoch [97/100], Step[172/526], Loss: 0.7126
Epoch [97/100], Step[173/526], Loss: 0.8143
Epoch [97/100], Step[174/526], Loss: 0.6300
Epoch [97/100], Step[175/526], Loss: 0.6742
Epoch [97/100], Step[176/526], Loss: 0.6079
Epoch [97/100], Step[177/526], Loss: 0.6678
Epoch [97/100], Step[178/526], Loss: 0.6886
Epoch [97/100], Step[179/526], Loss: 0.6178
Epoch [97/100], Step[180/526], Loss: 0.6773
Epoch [97/100], Step[181/526], Loss: 0.6514
Epoch [97/100], Step[182/526], Loss: 0.6601
Epoch [97/100], Step[183/526], Loss: 0.5462
Epoch [97/100], Step[184/526], Loss: 0.6086
Epoch [97/100], Step[185/526], Loss: 0.6114
Epoch [97/100], Step[186/526], Loss: 0.6359
Epoch [97/100], Step[187/526], Loss: 0.7587
Epoch [97/100], Step[188/526], Loss: 0.6927
Epoch [97/100], Step[189/526], Loss: 0.6613
Epoch [97/100], Step[190/526], Loss: 0.7031
Epoch [97/100], Step[191/526], Loss: 0.6861
Epoch [97/100], Step[192/526], Loss: 0.8274
Epoch [97/100], Step[193/526], Loss: 0.6455
Epoch [97/100], Step[194/526], Loss: 0.6092
Epoch [97/100], Step[195/526], Loss: 0.6513
Epoch [97/100], Step[196/526], Loss: 0.7300
Epoch [97/100], Step[197/526], Loss: 0.6757
Epoch [97/100], Step[198/526], Loss: 0.6283
Epoch [97/100], Step[199/526], Loss: 0.7415
Epoch [97/100], Step[200/526], Loss: 0.6802
Epoch [97/100], Step[201/526], Loss: 0.6753
Epoch [97/100], Step[202/526], Loss: 0.7423
Epoch [97/100], Step[203/526], Loss: 0.7049
Epoch [97/100], Step[204/526], Loss: 0.7092
Epoch [97/100], Step[205/526], Loss: 0.6853
Epoch [97/100], Step[206/526], Loss: 0.6850
Epoch [97/100], Step[207/526], Loss: 0.7058
Epoch [97/100], Step[208/526], Loss: 0.6821
Epoch [97/100], Step[209/526], Loss: 0.6814
Epoch [97/100], Step[210/526], Loss: 0.7470
Epoch [97/100], Step[211/526], Loss: 0.6305
Epoch [97/100], Step[212/526], Loss: 0.6871
Epoch [97/100], Step[213/526], Loss: 0.7182
Epoch [97/100], Step[214/526], Loss: 0.7117
Epoch [97/100], Step[215/526], Loss: 0.6894
Epoch [97/100], Step[216/526], Loss: 0.6753
Epoch [97/100], Step[217/526], Loss: 0.6434
Epoch [97/100], Step[218/526], Loss: 0.6952
Epoch [97/100], Step[219/526], Loss: 0.6911
Epoch [97/100], Step[220/526], Loss: 0.7125
Epoch [97/100], Step[221/526], Loss: 0.6919
Epoch [97/100], Step[222/526], Loss: 0.7248
Epoch [97/100], Step[223/526], Loss: 0.6223
Epoch [97/100], Step[224/526], Loss: 0.6555
Epoch [97/100], Step[225/526], Loss: 0.6957
Epoch [97/100], Step[226/526], Loss: 0.6659
Epoch [97/100], Step[227/526], Loss: 0.6522
Epoch [97/100], Step[228/526], Loss: 0.6777
Epoch [97/100], Step[229/526], Loss: 0.6915
Epoch [97/100], Step[230/526], Loss: 0.6440
Epoch [97/100], Step[231/526], Loss: 0.6447
Epoch [97/100], Step[232/526], Loss: 0.6741
Epoch [97/100], Step[233/526], Loss: 0.6771
Epoch [97/100], Step[234/526], Loss: 0.6111
Epoch [97/100], Step[235/526], Loss: 0.6581
Epoch [97/100], Step[236/526], Loss: 0.6684
Epoch [97/100], Step[237/526], Loss: 0.7241
Epoch [97/100], Step[238/526], Loss: 0.6042
Epoch [97/100], Step[239/526], Loss: 0.6075
Epoch [97/100], Step[240/526], Loss: 0.6339
Epoch [97/100], Step[241/526], Loss: 0.6023
Epoch [97/100], Step[242/526], Loss: 0.5899
Epoch [97/100], Step[243/526], Loss: 0.5674
Epoch [97/100], Step[244/526], Loss: 0.5303
Epoch [97/100], Step[245/526], Loss: 0.5750
Epoch [97/100], Step[246/526], Loss: 0.6490
Epoch [97/100], Step[247/526], Loss: 0.4980
Epoch [97/100], Step[248/526], Loss: 0.5617
Epoch [97/100], Step[249/526], Loss: 0.8274
Epoch [97/100], Step[250/526], Loss: 0.7959
Epoch [97/100], Step[251/526], Loss: 0.6907
Epoch [97/100], Step[252/526], Loss: 0.6805
Epoch [97/100], Step[253/526], Loss: 0.6115
Epoch [97/100], Step[254/526], Loss: 0.6908
Epoch [97/100], Step[255/526], Loss: 0.5925
Epoch [97/100], Step[256/526], Loss: 0.6641
Epoch [97/100], Step[257/526], Loss: 0.5362
Epoch [97/100], Step[258/526], Loss: 0.6047
Epoch [97/100], Step[259/526], Loss: 0.7008
Epoch [97/100], Step[260/526], Loss: 0.6639
Epoch [97/100], Step[261/526], Loss: 0.7520
Epoch [97/100], Step[262/526], Loss: 0.5573
Epoch [97/100], Step[263/526], Loss: 0.6274
Epoch [97/100], Step[264/526], Loss: 0.5946
Epoch [97/100], Step[265/526], Loss: 0.3258
Epoch [97/100], Step[266/526], Loss: 0.3199
Epoch [97/100], Step[267/526], Loss: 0.4799
Epoch [97/100], Step[268/526], Loss: 0.5710
Epoch [97/100], Step[269/526], Loss: 0.4865
Epoch [97/100], Step[270/526], Loss: 0.4256
Epoch [97/100], Step[271/526], Loss: 0.5710
Epoch [97/100], Step[272/526], Loss: 0.5658
Epoch [97/100], Step[273/526], Loss: 0.6542
Epoch [97/100], Step[274/526], Loss: 0.4563
Epoch [97/100], Step[275/526], Loss: 0.4159
Epoch [97/100], Step[276/526], Loss: 0.4916
Epoch [97/100], Step[277/526], Loss: 0.4010
Epoch [97/100], Step[278/526], Loss: 0.4918
Epoch [97/100], Step[279/526], Loss: 0.4698
Epoch [97/100], Step[280/526], Loss: 0.5200
Epoch [97/100], Step[281/526], Loss: 0.6882
Epoch [97/100], Step[282/526], Loss: 0.4304
Epoch [97/100], Step[283/526], Loss: 0.3716
Epoch [97/100], Step[284/526], Loss: 0.4605
Epoch [97/100], Step[285/526], Loss: 0.3034
Epoch [97/100], Step[286/526], Loss: 0.7229
Epoch [97/100], Step[287/526], Loss: 0.5046
Epoch [97/100], Step[288/526], Loss: 0.4186
Epoch [97/100], Step[289/526], Loss: 0.6028
Epoch [97/100], Step[290/526], Loss: 0.4536
Epoch [97/100], Step[291/526], Loss: 0.4579
Epoch [97/100], Step[292/526], Loss: 0.3046
Epoch [97/100], Step[293/526], Loss: 0.3198
Epoch [97/100], Step[294/526], Loss: 0.3614
Epoch [97/100], Step[295/526], Loss: 0.4674
Epoch [97/100], Step[296/526], Loss: 0.6030
Epoch [97/100], Step[297/526], Loss: 0.3587
Epoch [97/100], Step[298/526], Loss: 0.3190
Epoch [97/100], Step[299/526], Loss: 0.2627
Epoch [97/100], Step[300/526], Loss: 0.2744
Epoch [97/100], Step[301/526], Loss: 0.6451
Epoch [97/100], Step[302/526], Loss: 0.3935
Epoch [97/100], Step[303/526], Loss: 0.4372
Epoch [97/100], Step[304/526], Loss: 0.2675
Epoch [97/100], Step[305/526], Loss: 0.2828
Epoch [97/100], Step[306/526], Loss: 0.5665
Epoch [97/100], Step[307/526], Loss: 0.8902
Epoch [97/100], Step[308/526], Loss: 1.3141
Epoch [97/100], Step[309/526], Loss: 0.9168
Epoch [97/100], Step[310/526], Loss: 0.8983
Epoch [97/100], Step[311/526], Loss: 0.7953
Epoch [97/100], Step[312/526], Loss: 0.4709
Epoch [97/100], Step[313/526], Loss: 0.4518
Epoch [97/100], Step[314/526], Loss: 0.6072
Epoch [97/100], Step[315/526], Loss: 0.7576
Epoch [97/100], Step[316/526], Loss: 0.4913
Epoch [97/100], Step[317/526], Loss: 0.3309
Epoch [97/100], Step[318/526], Loss: 0.7827
Epoch [97/100], Step[319/526], Loss: 0.3643
Epoch [97/100], Step[320/526], Loss: 0.6481
Epoch [97/100], Step[321/526], Loss: 0.7447
Epoch [97/100], Step[322/526], Loss: 0.2825
Epoch [97/100], Step[323/526], Loss: 0.6167
Epoch [97/100], Step[324/526], Loss: 0.6753
Epoch [97/100], Step[325/526], Loss: 0.5835
Epoch [97/100], Step[326/526], Loss: 0.7519
Epoch [97/100], Step[327/526], Loss: 0.7189
Epoch [97/100], Step[328/526], Loss: 0.9366
Epoch [97/100], Step[329/526], Loss: 1.3019
Epoch [97/100], Step[330/526], Loss: 1.0612
Epoch [97/100], Step[331/526], Loss: 0.7758
Epoch [97/100], Step[332/526], Loss: 0.8481
Epoch [97/100], Step[333/526], Loss: 0.7464
Epoch [97/100], Step[334/526], Loss: 0.7499
Epoch [97/100], Step[335/526], Loss: 0.7656
Epoch [97/100], Step[336/526], Loss: 0.6636
Epoch [97/100], Step[337/526], Loss: 0.5803
Epoch [97/100], Step[338/526], Loss: 0.7077
Epoch [97/100], Step[339/526], Loss: 0.6612
Epoch [97/100], Step[340/526], Loss: 0.7254
Epoch [97/100], Step[341/526], Loss: 0.7699
Epoch [97/100], Step[342/526], Loss: 0.7728
Epoch [97/100], Step[343/526], Loss: 0.5344
Epoch [97/100], Step[344/526], Loss: 0.7103
Epoch [97/100], Step[345/526], Loss: 0.6719
Epoch [97/100], Step[346/526], Loss: 0.6742
Epoch [97/100], Step[347/526], Loss: 0.7191
Epoch [97/100], Step[348/526], Loss: 0.6367
Epoch [97/100], Step[349/526], Loss: 0.5612
Epoch [97/100], Step[350/526], Loss: 0.6458
Epoch [97/100], Step[351/526], Loss: 0.6981
Epoch [97/100], Step[352/526], Loss: 0.6267
Epoch [97/100], Step[353/526], Loss: 0.6724
Epoch [97/100], Step[354/526], Loss: 0.6782
Epoch [97/100], Step[355/526], Loss: 0.6702
Epoch [97/100], Step[356/526], Loss: 0.6939
Epoch [97/100], Step[357/526], Loss: 0.6416
Epoch [97/100], Step[358/526], Loss: 0.7127
Epoch [97/100], Step[359/526], Loss: 0.6418
Epoch [97/100], Step[360/526], Loss: 0.6728
Epoch [97/100], Step[361/526], Loss: 0.7178
Epoch [97/100], Step[362/526], Loss: 0.6926
Epoch [97/100], Step[363/526], Loss: 0.7002
Epoch [97/100], Step[364/526], Loss: 0.7263
Epoch [97/100], Step[365/526], Loss: 0.7415
Epoch [97/100], Step[366/526], Loss: 0.6806
Epoch [97/100], Step[367/526], Loss: 0.6785
Epoch [97/100], Step[368/526], Loss: 0.6564
Epoch [97/100], Step[369/526], Loss: 0.6407
Epoch [97/100], Step[370/526], Loss: 0.6053
Epoch [97/100], Step[371/526], Loss: 0.7300
Epoch [97/100], Step[372/526], Loss: 0.6426
Epoch [97/100], Step[373/526], Loss: 0.6730
Epoch [97/100], Step[374/526], Loss: 0.6963
Epoch [97/100], Step[375/526], Loss: 0.6313
Epoch [97/100], Step[376/526], Loss: 0.6323
Epoch [97/100], Step[377/526], Loss: 0.6805
Epoch [97/100], Step[378/526], Loss: 0.6762
Epoch [97/100], Step[379/526], Loss: 0.7888
Epoch [97/100], Step[380/526], Loss: 0.5975
Epoch [97/100], Step[381/526], Loss: 0.5801
Epoch [97/100], Step[382/526], Loss: 0.6638
Epoch [97/100], Step[383/526], Loss: 0.6963
Epoch [97/100], Step[384/526], Loss: 0.6345
Epoch [97/100], Step[385/526], Loss: 0.6295
Epoch [97/100], Step[386/526], Loss: 0.6259
Epoch [97/100], Step[387/526], Loss: 0.6421
Epoch [97/100], Step[388/526], Loss: 0.5836
Epoch [97/100], Step[389/526], Loss: 0.7346
Epoch [97/100], Step[390/526], Loss: 0.5597
Epoch [97/100], Step[391/526], Loss: 0.6250
Epoch [97/100], Step[392/526], Loss: 0.7269
Epoch [97/100], Step[393/526], Loss: 0.5788
Epoch [97/100], Step[394/526], Loss: 0.5046
Epoch [97/100], Step[395/526], Loss: 0.5852
Epoch [97/100], Step[396/526], Loss: 0.6305
Epoch [97/100], Step[397/526], Loss: 0.4743
Epoch [97/100], Step[398/526], Loss: 0.6122
Epoch [97/100], Step[399/526], Loss: 0.6686
Epoch [97/100], Step[400/526], Loss: 0.4666
Epoch [97/100], Step[401/526], Loss: 0.6077
Epoch [97/100], Step[402/526], Loss: 0.6388
Epoch [97/100], Step[403/526], Loss: 0.7579
Epoch [97/100], Step[404/526], Loss: 0.4724
Epoch [97/100], Step[405/526], Loss: 0.4921
Epoch [97/100], Step[406/526], Loss: 0.6332
Epoch [97/100], Step[407/526], Loss: 0.7618
Epoch [97/100], Step[408/526], Loss: 0.6701
Epoch [97/100], Step[409/526], Loss: 0.4735
Epoch [97/100], Step[410/526], Loss: 0.5035
Epoch [97/100], Step[411/526], Loss: 0.5325
Epoch [97/100], Step[412/526], Loss: 0.5980
Epoch [97/100], Step[413/526], Loss: 0.6068
Epoch [97/100], Step[414/526], Loss: 0.6460
Epoch [97/100], Step[415/526], Loss: 0.6065
Epoch [97/100], Step[416/526], Loss: 0.5884
Epoch [97/100], Step[417/526], Loss: 0.4634
Epoch [97/100], Step[418/526], Loss: 0.7740
Epoch [97/100], Step[419/526], Loss: 0.6689
Epoch [97/100], Step[420/526], Loss: 0.6785
Epoch [97/100], Step[421/526], Loss: 0.6591
Epoch [97/100], Step[422/526], Loss: 0.7530
Epoch [97/100], Step[423/526], Loss: 0.7020
Epoch [97/100], Step[424/526], Loss: 0.7503
Epoch [97/100], Step[425/526], Loss: 0.7098
Epoch [97/100], Step[426/526], Loss: 0.7473
Epoch [97/100], Step[427/526], Loss: 0.7065
Epoch [97/100], Step[428/526], Loss: 0.7088
Epoch [97/100], Step[429/526], Loss: 0.7416
Epoch [97/100], Step[430/526], Loss: 0.7764
Epoch [97/100], Step[431/526], Loss: 0.7040
Epoch [97/100], Step[432/526], Loss: 0.7195
Epoch [97/100], Step[433/526], Loss: 0.6709
Epoch [97/100], Step[434/526], Loss: 0.6062
Epoch [97/100], Step[435/526], Loss: 0.7685
Epoch [97/100], Step[436/526], Loss: 0.8077
Epoch [97/100], Step[437/526], Loss: 0.4839
Epoch [97/100], Step[438/526], Loss: 0.3720
Epoch [97/100], Step[439/526], Loss: 0.7161
Epoch [97/100], Step[440/526], Loss: 0.6842
Epoch [97/100], Step[441/526], Loss: 0.6988
Epoch [97/100], Step[442/526], Loss: 0.6514
Epoch [97/100], Step[443/526], Loss: 0.6648
Epoch [97/100], Step[444/526], Loss: 0.7572
Epoch [97/100], Step[445/526], Loss: 0.7162
Epoch [97/100], Step[446/526], Loss: 0.6976
Epoch [97/100], Step[447/526], Loss: 0.7304
Epoch [97/100], Step[448/526], Loss: 0.7256
Epoch [97/100], Step[449/526], Loss: 0.6668
Epoch [97/100], Step[450/526], Loss: 0.5953
Epoch [97/100], Step[451/526], Loss: 0.6808
Epoch [97/100], Step[452/526], Loss: 0.7314
Epoch [97/100], Step[453/526], Loss: 0.7011
Epoch [97/100], Step[454/526], Loss: 0.8346
Epoch [97/100], Step[455/526], Loss: 0.6160
Epoch [97/100], Step[456/526], Loss: 0.6270
Epoch [97/100], Step[457/526], Loss: 0.7086
Epoch [97/100], Step[458/526], Loss: 0.6698
Epoch [97/100], Step[459/526], Loss: 0.6331
Epoch [97/100], Step[460/526], Loss: 0.6128
Epoch [97/100], Step[461/526], Loss: 0.5848
Epoch [97/100], Step[462/526], Loss: 0.6462
Epoch [97/100], Step[463/526], Loss: 0.6338
Epoch [97/100], Step[464/526], Loss: 0.6109
Epoch [97/100], Step[465/526], Loss: 0.6436
Epoch [97/100], Step[466/526], Loss: 0.6668
Epoch [97/100], Step[467/526], Loss: 0.6322
Epoch [97/100], Step[468/526], Loss: 0.5862
Epoch [97/100], Step[469/526], Loss: 0.8493
Epoch [97/100], Step[470/526], Loss: 0.6610
Epoch [97/100], Step[471/526], Loss: 0.6976
Epoch [97/100], Step[472/526], Loss: 0.6778
Epoch [97/100], Step[473/526], Loss: 0.6744
Epoch [97/100], Step[474/526], Loss: 0.6702
Epoch [97/100], Step[475/526], Loss: 0.8595
Epoch [97/100], Step[476/526], Loss: 0.7406
Epoch [97/100], Step[477/526], Loss: 0.6826
Epoch [97/100], Step[478/526], Loss: 0.6876
Epoch [97/100], Step[479/526], Loss: 0.6599
Epoch [97/100], Step[480/526], Loss: 0.7286
Epoch [97/100], Step[481/526], Loss: 0.7398
Epoch [97/100], Step[482/526], Loss: 0.6505
Epoch [97/100], Step[483/526], Loss: 0.5325
Epoch [97/100], Step[484/526], Loss: 0.7300
Epoch [97/100], Step[485/526], Loss: 0.7821
Epoch [97/100], Step[486/526], Loss: 0.7440
Epoch [97/100], Step[487/526], Loss: 0.7616
Epoch [97/100], Step[488/526], Loss: 0.6534
Epoch [97/100], Step[489/526], Loss: 0.6123
Epoch [97/100], Step[490/526], Loss: 0.5892
Epoch [97/100], Step[491/526], Loss: 0.6796
Epoch [97/100], Step[492/526], Loss: 0.6377
Epoch [97/100], Step[493/526], Loss: 0.6270
Epoch [97/100], Step[494/526], Loss: 0.6808
Epoch [97/100], Step[495/526], Loss: 0.6881
Epoch [97/100], Step[496/526], Loss: 0.6523
Epoch [97/100], Step[497/526], Loss: 0.6256
Epoch [97/100], Step[498/526], Loss: 0.6769
Epoch [97/100], Step[499/526], Loss: 0.6635
Epoch [97/100], Step[500/526], Loss: 0.7322
Epoch [97/100], Step[501/526], Loss: 0.6611
Epoch [97/100], Step[502/526], Loss: 0.7034
Epoch [97/100], Step[503/526], Loss: 0.7097
Epoch [97/100], Step[504/526], Loss: 0.7100
Epoch [97/100], Step[505/526], Loss: 0.7253
Epoch [97/100], Step[506/526], Loss: 0.6551
Epoch [97/100], Step[507/526], Loss: 0.6772
Epoch [97/100], Step[508/526], Loss: 0.7015
Epoch [97/100], Step[509/526], Loss: 0.6379
Epoch [97/100], Step[510/526], Loss: 0.7023
Epoch [97/100], Step[511/526], Loss: 0.6310
Epoch [97/100], Step[512/526], Loss: 0.6608
Epoch [97/100], Step[513/526], Loss: 0.6292
Epoch [97/100], Step[514/526], Loss: 0.6519
Epoch [97/100], Step[515/526], Loss: 0.5548
Epoch [97/100], Step[516/526], Loss: 0.7557
Epoch [97/100], Step[517/526], Loss: 0.6905
Epoch [97/100], Step[518/526], Loss: 0.7426
Epoch [97/100], Step[519/526], Loss: 0.7249
Epoch [97/100], Step[520/526], Loss: 0.6845
Epoch [97/100], Step[521/526], Loss: 0.6922
Epoch [97/100], Step[522/526], Loss: 0.5821
Epoch [97/100], Step[523/526], Loss: 0.6426
Epoch [97/100], Step[524/526], Loss: 0.6182
Epoch [97/100], Step[525/526], Loss: 0.7612
Epoch [97/100], Step[526/526], Loss: 0.7174
Epoch [98/100], Step[1/526], Loss: 0.6548
Epoch [98/100], Step[2/526], Loss: 0.6438
Epoch [98/100], Step[3/526], Loss: 0.6784
Epoch [98/100], Step[4/526], Loss: 0.6279
Epoch [98/100], Step[5/526], Loss: 0.7435
Epoch [98/100], Step[6/526], Loss: 0.7558
Epoch [98/100], Step[7/526], Loss: 0.6909
Epoch [98/100], Step[8/526], Loss: 0.6765
Epoch [98/100], Step[9/526], Loss: 0.7001
Epoch [98/100], Step[10/526], Loss: 0.6559
Epoch [98/100], Step[11/526], Loss: 0.6804
Epoch [98/100], Step[12/526], Loss: 0.7363
Epoch [98/100], Step[13/526], Loss: 0.6103
Epoch [98/100], Step[14/526], Loss: 0.6673
Epoch [98/100], Step[15/526], Loss: 0.6738
Epoch [98/100], Step[16/526], Loss: 0.7132
Epoch [98/100], Step[17/526], Loss: 0.7203
Epoch [98/100], Step[18/526], Loss: 0.6551
Epoch [98/100], Step[19/526], Loss: 0.7032
Epoch [98/100], Step[20/526], Loss: 0.7392
Epoch [98/100], Step[21/526], Loss: 0.7727
Epoch [98/100], Step[22/526], Loss: 0.7483
Epoch [98/100], Step[23/526], Loss: 0.7363
Epoch [98/100], Step[24/526], Loss: 0.7267
Epoch [98/100], Step[25/526], Loss: 0.6952
Epoch [98/100], Step[26/526], Loss: 0.6288
Epoch [98/100], Step[27/526], Loss: 0.6830
Epoch [98/100], Step[28/526], Loss: 0.6872
Epoch [98/100], Step[29/526], Loss: 0.6424
Epoch [98/100], Step[30/526], Loss: 0.6954
Epoch [98/100], Step[31/526], Loss: 0.7061
Epoch [98/100], Step[32/526], Loss: 0.6710
Epoch [98/100], Step[33/526], Loss: 0.7103
Epoch [98/100], Step[34/526], Loss: 0.7041
Epoch [98/100], Step[35/526], Loss: 0.7298
Epoch [98/100], Step[36/526], Loss: 0.7058
Epoch [98/100], Step[37/526], Loss: 0.6897
Epoch [98/100], Step[38/526], Loss: 0.7210
Epoch [98/100], Step[39/526], Loss: 0.6817
Epoch [98/100], Step[40/526], Loss: 0.7028
Epoch [98/100], Step[41/526], Loss: 0.6658
Epoch [98/100], Step[42/526], Loss: 0.7277
Epoch [98/100], Step[43/526], Loss: 0.7133
Epoch [98/100], Step[44/526], Loss: 0.6939
Epoch [98/100], Step[45/526], Loss: 0.7016
Epoch [98/100], Step[46/526], Loss: 0.6783
Epoch [98/100], Step[47/526], Loss: 0.6914
Epoch [98/100], Step[48/526], Loss: 0.7205
Epoch [98/100], Step[49/526], Loss: 0.7034
Epoch [98/100], Step[50/526], Loss: 0.6977
Epoch [98/100], Step[51/526], Loss: 0.7013
Epoch [98/100], Step[52/526], Loss: 0.6783
Epoch [98/100], Step[53/526], Loss: 0.7164
Epoch [98/100], Step[54/526], Loss: 0.6989
Epoch [98/100], Step[55/526], Loss: 0.7051
Epoch [98/100], Step[56/526], Loss: 0.6762
Epoch [98/100], Step[57/526], Loss: 0.6863
Epoch [98/100], Step[58/526], Loss: 0.6693
Epoch [98/100], Step[59/526], Loss: 0.6579
Epoch [98/100], Step[60/526], Loss: 0.6579
Epoch [98/100], Step[61/526], Loss: 0.6616
Epoch [98/100], Step[62/526], Loss: 0.7068
Epoch [98/100], Step[63/526], Loss: 0.6843
Epoch [98/100], Step[64/526], Loss: 0.6743
Epoch [98/100], Step[65/526], Loss: 0.7215
Epoch [98/100], Step[66/526], Loss: 0.6801
Epoch [98/100], Step[67/526], Loss: 0.6350
Epoch [98/100], Step[68/526], Loss: 0.6545
Epoch [98/100], Step[69/526], Loss: 0.6852
Epoch [98/100], Step[70/526], Loss: 0.6750
Epoch [98/100], Step[71/526], Loss: 0.6634
Epoch [98/100], Step[72/526], Loss: 0.6893
Epoch [98/100], Step[73/526], Loss: 0.7169
Epoch [98/100], Step[74/526], Loss: 0.6573
Epoch [98/100], Step[75/526], Loss: 0.7022
Epoch [98/100], Step[76/526], Loss: 0.6940
Epoch [98/100], Step[77/526], Loss: 0.7044
Epoch [98/100], Step[78/526], Loss: 0.7009
Epoch [98/100], Step[79/526], Loss: 0.6972
Epoch [98/100], Step[80/526], Loss: 0.6998
Epoch [98/100], Step[81/526], Loss: 0.7019
Epoch [98/100], Step[82/526], Loss: 0.7262
Epoch [98/100], Step[83/526], Loss: 0.7002
Epoch [98/100], Step[84/526], Loss: 0.6859
Epoch [98/100], Step[85/526], Loss: 0.6628
Epoch [98/100], Step[86/526], Loss: 0.6778
Epoch [98/100], Step[87/526], Loss: 0.6870
Epoch [98/100], Step[88/526], Loss: 0.6941
Epoch [98/100], Step[89/526], Loss: 0.7288
Epoch [98/100], Step[90/526], Loss: 0.6687
Epoch [98/100], Step[91/526], Loss: 0.6927
Epoch [98/100], Step[92/526], Loss: 0.6756
Epoch [98/100], Step[93/526], Loss: 0.7012
Epoch [98/100], Step[94/526], Loss: 0.8014
Epoch [98/100], Step[95/526], Loss: 0.7227
Epoch [98/100], Step[96/526], Loss: 0.6215
Epoch [98/100], Step[97/526], Loss: 0.5809
Epoch [98/100], Step[98/526], Loss: 0.6762
Epoch [98/100], Step[99/526], Loss: 0.6890
Epoch [98/100], Step[100/526], Loss: 0.6393
Epoch [98/100], Step[101/526], Loss: 0.6657
Epoch [98/100], Step[102/526], Loss: 0.6350
Epoch [98/100], Step[103/526], Loss: 0.7365
Epoch [98/100], Step[104/526], Loss: 0.6618
Epoch [98/100], Step[105/526], Loss: 0.6142
Epoch [98/100], Step[106/526], Loss: 0.6846
Epoch [98/100], Step[107/526], Loss: 0.6064
Epoch [98/100], Step[108/526], Loss: 0.5845
Epoch [98/100], Step[109/526], Loss: 0.6489
Epoch [98/100], Step[110/526], Loss: 0.6795
Epoch [98/100], Step[111/526], Loss: 0.6074
Epoch [98/100], Step[112/526], Loss: 0.7223
Epoch [98/100], Step[113/526], Loss: 0.6081
Epoch [98/100], Step[114/526], Loss: 0.6477
Epoch [98/100], Step[115/526], Loss: 0.5910
Epoch [98/100], Step[116/526], Loss: 0.6342
Epoch [98/100], Step[117/526], Loss: 0.6986
Epoch [98/100], Step[118/526], Loss: 0.7669
Epoch [98/100], Step[119/526], Loss: 0.6838
Epoch [98/100], Step[120/526], Loss: 0.6709
Epoch [98/100], Step[121/526], Loss: 0.6913
Epoch [98/100], Step[122/526], Loss: 0.6060
Epoch [98/100], Step[123/526], Loss: 0.6539
Epoch [98/100], Step[124/526], Loss: 0.6688
Epoch [98/100], Step[125/526], Loss: 0.6350
Epoch [98/100], Step[126/526], Loss: 0.7175
Epoch [98/100], Step[127/526], Loss: 0.6657
Epoch [98/100], Step[128/526], Loss: 0.6246
Epoch [98/100], Step[129/526], Loss: 0.6038
Epoch [98/100], Step[130/526], Loss: 0.6445
Epoch [98/100], Step[131/526], Loss: 0.6685
Epoch [98/100], Step[132/526], Loss: 0.7056
Epoch [98/100], Step[133/526], Loss: 0.6689
Epoch [98/100], Step[134/526], Loss: 0.6270
Epoch [98/100], Step[135/526], Loss: 0.6385
Epoch [98/100], Step[136/526], Loss: 0.5573
Epoch [98/100], Step[137/526], Loss: 0.6511
Epoch [98/100], Step[138/526], Loss: 0.6565
Epoch [98/100], Step[139/526], Loss: 0.6916
Epoch [98/100], Step[140/526], Loss: 0.5856
Epoch [98/100], Step[141/526], Loss: 0.6563
Epoch [98/100], Step[142/526], Loss: 0.6732
Epoch [98/100], Step[143/526], Loss: 0.6940
Epoch [98/100], Step[144/526], Loss: 0.7755
Epoch [98/100], Step[145/526], Loss: 0.5230
Epoch [98/100], Step[146/526], Loss: 0.5062
Epoch [98/100], Step[147/526], Loss: 0.4737
Epoch [98/100], Step[148/526], Loss: 0.6017
Epoch [98/100], Step[149/526], Loss: 0.5138
Epoch [98/100], Step[150/526], Loss: 0.5516
Epoch [98/100], Step[151/526], Loss: 0.5432
Epoch [98/100], Step[152/526], Loss: 0.6276
Epoch [98/100], Step[153/526], Loss: 0.6495
Epoch [98/100], Step[154/526], Loss: 0.7032
Epoch [98/100], Step[155/526], Loss: 0.7250
Epoch [98/100], Step[156/526], Loss: 0.5414
Epoch [98/100], Step[157/526], Loss: 0.2798
Epoch [98/100], Step[158/526], Loss: 0.5866
Epoch [98/100], Step[159/526], Loss: 0.6556
Epoch [98/100], Step[160/526], Loss: 0.5594
Epoch [98/100], Step[161/526], Loss: 0.7794
Epoch [98/100], Step[162/526], Loss: 0.7127
Epoch [98/100], Step[163/526], Loss: 0.7207
Epoch [98/100], Step[164/526], Loss: 0.6262
Epoch [98/100], Step[165/526], Loss: 0.7297
Epoch [98/100], Step[166/526], Loss: 0.5290
Epoch [98/100], Step[167/526], Loss: 0.5620
Epoch [98/100], Step[168/526], Loss: 0.6842
Epoch [98/100], Step[169/526], Loss: 0.7381
Epoch [98/100], Step[170/526], Loss: 0.7068
Epoch [98/100], Step[171/526], Loss: 0.7426
Epoch [98/100], Step[172/526], Loss: 0.7137
Epoch [98/100], Step[173/526], Loss: 0.8127
Epoch [98/100], Step[174/526], Loss: 0.6350
Epoch [98/100], Step[175/526], Loss: 0.6777
Epoch [98/100], Step[176/526], Loss: 0.6064
Epoch [98/100], Step[177/526], Loss: 0.6612
Epoch [98/100], Step[178/526], Loss: 0.6885
Epoch [98/100], Step[179/526], Loss: 0.6187
Epoch [98/100], Step[180/526], Loss: 0.6763
Epoch [98/100], Step[181/526], Loss: 0.6537
Epoch [98/100], Step[182/526], Loss: 0.6628
Epoch [98/100], Step[183/526], Loss: 0.5472
Epoch [98/100], Step[184/526], Loss: 0.6095
Epoch [98/100], Step[185/526], Loss: 0.6085
Epoch [98/100], Step[186/526], Loss: 0.6362
Epoch [98/100], Step[187/526], Loss: 0.7641
Epoch [98/100], Step[188/526], Loss: 0.6918
Epoch [98/100], Step[189/526], Loss: 0.6605
Epoch [98/100], Step[190/526], Loss: 0.6987
Epoch [98/100], Step[191/526], Loss: 0.6910
Epoch [98/100], Step[192/526], Loss: 0.8255
Epoch [98/100], Step[193/526], Loss: 0.6458
Epoch [98/100], Step[194/526], Loss: 0.6120
Epoch [98/100], Step[195/526], Loss: 0.6506
Epoch [98/100], Step[196/526], Loss: 0.7273
Epoch [98/100], Step[197/526], Loss: 0.6786
Epoch [98/100], Step[198/526], Loss: 0.6335
Epoch [98/100], Step[199/526], Loss: 0.7423
Epoch [98/100], Step[200/526], Loss: 0.6810
Epoch [98/100], Step[201/526], Loss: 0.6732
Epoch [98/100], Step[202/526], Loss: 0.7336
Epoch [98/100], Step[203/526], Loss: 0.7064
Epoch [98/100], Step[204/526], Loss: 0.7102
Epoch [98/100], Step[205/526], Loss: 0.6864
Epoch [98/100], Step[206/526], Loss: 0.6850
Epoch [98/100], Step[207/526], Loss: 0.7086
Epoch [98/100], Step[208/526], Loss: 0.6832
Epoch [98/100], Step[209/526], Loss: 0.6803
Epoch [98/100], Step[210/526], Loss: 0.7492
Epoch [98/100], Step[211/526], Loss: 0.6314
Epoch [98/100], Step[212/526], Loss: 0.6867
Epoch [98/100], Step[213/526], Loss: 0.7193
Epoch [98/100], Step[214/526], Loss: 0.7199
Epoch [98/100], Step[215/526], Loss: 0.6914
Epoch [98/100], Step[216/526], Loss: 0.6759
Epoch [98/100], Step[217/526], Loss: 0.6567
Epoch [98/100], Step[218/526], Loss: 0.7000
Epoch [98/100], Step[219/526], Loss: 0.6949
Epoch [98/100], Step[220/526], Loss: 0.7145
Epoch [98/100], Step[221/526], Loss: 0.6904
Epoch [98/100], Step[222/526], Loss: 0.7244
Epoch [98/100], Step[223/526], Loss: 0.6448
Epoch [98/100], Step[224/526], Loss: 0.6608
Epoch [98/100], Step[225/526], Loss: 0.7085
Epoch [98/100], Step[226/526], Loss: 0.6687
Epoch [98/100], Step[227/526], Loss: 0.6623
Epoch [98/100], Step[228/526], Loss: 0.6717
Epoch [98/100], Step[229/526], Loss: 0.6939
Epoch [98/100], Step[230/526], Loss: 0.6564
Epoch [98/100], Step[231/526], Loss: 0.6644
Epoch [98/100], Step[232/526], Loss: 0.6910
Epoch [98/100], Step[233/526], Loss: 0.6805
Epoch [98/100], Step[234/526], Loss: 0.6331
Epoch [98/100], Step[235/526], Loss: 0.6854
Epoch [98/100], Step[236/526], Loss: 0.6754
Epoch [98/100], Step[237/526], Loss: 0.7022
Epoch [98/100], Step[238/526], Loss: 0.6332
Epoch [98/100], Step[239/526], Loss: 0.6163
Epoch [98/100], Step[240/526], Loss: 0.6659
Epoch [98/100], Step[241/526], Loss: 0.6587
Epoch [98/100], Step[242/526], Loss: 0.6332
Epoch [98/100], Step[243/526], Loss: 0.5834
Epoch [98/100], Step[244/526], Loss: 0.5454
Epoch [98/100], Step[245/526], Loss: 0.5785
Epoch [98/100], Step[246/526], Loss: 0.6354
Epoch [98/100], Step[247/526], Loss: 0.5123
Epoch [98/100], Step[248/526], Loss: 0.5745
Epoch [98/100], Step[249/526], Loss: 0.7960
Epoch [98/100], Step[250/526], Loss: 0.7902
Epoch [98/100], Step[251/526], Loss: 0.6929
Epoch [98/100], Step[252/526], Loss: 0.6838
Epoch [98/100], Step[253/526], Loss: 0.6053
Epoch [98/100], Step[254/526], Loss: 0.6909
Epoch [98/100], Step[255/526], Loss: 0.5792
Epoch [98/100], Step[256/526], Loss: 0.6540
Epoch [98/100], Step[257/526], Loss: 0.5227
Epoch [98/100], Step[258/526], Loss: 0.6050
Epoch [98/100], Step[259/526], Loss: 0.7083
Epoch [98/100], Step[260/526], Loss: 0.6719
Epoch [98/100], Step[261/526], Loss: 0.7640
Epoch [98/100], Step[262/526], Loss: 0.5661
Epoch [98/100], Step[263/526], Loss: 0.6258
Epoch [98/100], Step[264/526], Loss: 0.5991
Epoch [98/100], Step[265/526], Loss: 0.3249
Epoch [98/100], Step[266/526], Loss: 0.3221
Epoch [98/100], Step[267/526], Loss: 0.4780
Epoch [98/100], Step[268/526], Loss: 0.5659
Epoch [98/100], Step[269/526], Loss: 0.4767
Epoch [98/100], Step[270/526], Loss: 0.4170
Epoch [98/100], Step[271/526], Loss: 0.5654
Epoch [98/100], Step[272/526], Loss: 0.5630
Epoch [98/100], Step[273/526], Loss: 0.6563
Epoch [98/100], Step[274/526], Loss: 0.4508
Epoch [98/100], Step[275/526], Loss: 0.4149
Epoch [98/100], Step[276/526], Loss: 0.4868
Epoch [98/100], Step[277/526], Loss: 0.4074
Epoch [98/100], Step[278/526], Loss: 0.4891
Epoch [98/100], Step[279/526], Loss: 0.4674
Epoch [98/100], Step[280/526], Loss: 0.5143
Epoch [98/100], Step[281/526], Loss: 0.6821
Epoch [98/100], Step[282/526], Loss: 0.4264
Epoch [98/100], Step[283/526], Loss: 0.3703
Epoch [98/100], Step[284/526], Loss: 0.4573
Epoch [98/100], Step[285/526], Loss: 0.3035
Epoch [98/100], Step[286/526], Loss: 0.7214
Epoch [98/100], Step[287/526], Loss: 0.5039
Epoch [98/100], Step[288/526], Loss: 0.4183
Epoch [98/100], Step[289/526], Loss: 0.6029
Epoch [98/100], Step[290/526], Loss: 0.4550
Epoch [98/100], Step[291/526], Loss: 0.4551
Epoch [98/100], Step[292/526], Loss: 0.3034
Epoch [98/100], Step[293/526], Loss: 0.3214
Epoch [98/100], Step[294/526], Loss: 0.3583
Epoch [98/100], Step[295/526], Loss: 0.4672
Epoch [98/100], Step[296/526], Loss: 0.6056
Epoch [98/100], Step[297/526], Loss: 0.3606
Epoch [98/100], Step[298/526], Loss: 0.3130
Epoch [98/100], Step[299/526], Loss: 0.2611
Epoch [98/100], Step[300/526], Loss: 0.2726
Epoch [98/100], Step[301/526], Loss: 0.6467
Epoch [98/100], Step[302/526], Loss: 0.3919
Epoch [98/100], Step[303/526], Loss: 0.4336
Epoch [98/100], Step[304/526], Loss: 0.2660
Epoch [98/100], Step[305/526], Loss: 0.2819
Epoch [98/100], Step[306/526], Loss: 0.5673
Epoch [98/100], Step[307/526], Loss: 0.8914
Epoch [98/100], Step[308/526], Loss: 1.3126
Epoch [98/100], Step[309/526], Loss: 0.9182
Epoch [98/100], Step[310/526], Loss: 0.9011
Epoch [98/100], Step[311/526], Loss: 0.7985
Epoch [98/100], Step[312/526], Loss: 0.4714
Epoch [98/100], Step[313/526], Loss: 0.4512
Epoch [98/100], Step[314/526], Loss: 0.6076
Epoch [98/100], Step[315/526], Loss: 0.7566
Epoch [98/100], Step[316/526], Loss: 0.4927
Epoch [98/100], Step[317/526], Loss: 0.3309
Epoch [98/100], Step[318/526], Loss: 0.7824
Epoch [98/100], Step[319/526], Loss: 0.3635
Epoch [98/100], Step[320/526], Loss: 0.6435
Epoch [98/100], Step[321/526], Loss: 0.7478
Epoch [98/100], Step[322/526], Loss: 0.2798
Epoch [98/100], Step[323/526], Loss: 0.6169
Epoch [98/100], Step[324/526], Loss: 0.6743
Epoch [98/100], Step[325/526], Loss: 0.5801
Epoch [98/100], Step[326/526], Loss: 0.7534
Epoch [98/100], Step[327/526], Loss: 0.7179
Epoch [98/100], Step[328/526], Loss: 0.9340
Epoch [98/100], Step[329/526], Loss: 1.3016
Epoch [98/100], Step[330/526], Loss: 1.0635
Epoch [98/100], Step[331/526], Loss: 0.7753
Epoch [98/100], Step[332/526], Loss: 0.8542
Epoch [98/100], Step[333/526], Loss: 0.7486
Epoch [98/100], Step[334/526], Loss: 0.7559
Epoch [98/100], Step[335/526], Loss: 0.7628
Epoch [98/100], Step[336/526], Loss: 0.6667
Epoch [98/100], Step[337/526], Loss: 0.5825
Epoch [98/100], Step[338/526], Loss: 0.7070
Epoch [98/100], Step[339/526], Loss: 0.6627
Epoch [98/100], Step[340/526], Loss: 0.7240
Epoch [98/100], Step[341/526], Loss: 0.7666
Epoch [98/100], Step[342/526], Loss: 0.7710
Epoch [98/100], Step[343/526], Loss: 0.5342
Epoch [98/100], Step[344/526], Loss: 0.7080
Epoch [98/100], Step[345/526], Loss: 0.6751
Epoch [98/100], Step[346/526], Loss: 0.6785
Epoch [98/100], Step[347/526], Loss: 0.7188
Epoch [98/100], Step[348/526], Loss: 0.6338
Epoch [98/100], Step[349/526], Loss: 0.5644
Epoch [98/100], Step[350/526], Loss: 0.6469
Epoch [98/100], Step[351/526], Loss: 0.6987
Epoch [98/100], Step[352/526], Loss: 0.6274
Epoch [98/100], Step[353/526], Loss: 0.6728
Epoch [98/100], Step[354/526], Loss: 0.6793
Epoch [98/100], Step[355/526], Loss: 0.6696
Epoch [98/100], Step[356/526], Loss: 0.6943
Epoch [98/100], Step[357/526], Loss: 0.6410
Epoch [98/100], Step[358/526], Loss: 0.7104
Epoch [98/100], Step[359/526], Loss: 0.6406
Epoch [98/100], Step[360/526], Loss: 0.6727
Epoch [98/100], Step[361/526], Loss: 0.7143
Epoch [98/100], Step[362/526], Loss: 0.6901
Epoch [98/100], Step[363/526], Loss: 0.7022
Epoch [98/100], Step[364/526], Loss: 0.7100
Epoch [98/100], Step[365/526], Loss: 0.7023
Epoch [98/100], Step[366/526], Loss: 0.6949
Epoch [98/100], Step[367/526], Loss: 0.7051
Epoch [98/100], Step[368/526], Loss: 0.7183
Epoch [98/100], Step[369/526], Loss: 0.6875
Epoch [98/100], Step[370/526], Loss: 0.5554
Epoch [98/100], Step[371/526], Loss: 0.7112
Epoch [98/100], Step[372/526], Loss: 0.6470
Epoch [98/100], Step[373/526], Loss: 0.6712
Epoch [98/100], Step[374/526], Loss: 0.6912
Epoch [98/100], Step[375/526], Loss: 0.6334
Epoch [98/100], Step[376/526], Loss: 0.6424
Epoch [98/100], Step[377/526], Loss: 0.6812
Epoch [98/100], Step[378/526], Loss: 0.6770
Epoch [98/100], Step[379/526], Loss: 0.7774
Epoch [98/100], Step[380/526], Loss: 0.6001
Epoch [98/100], Step[381/526], Loss: 0.5899
Epoch [98/100], Step[382/526], Loss: 0.6639
Epoch [98/100], Step[383/526], Loss: 0.6957
Epoch [98/100], Step[384/526], Loss: 0.6386
Epoch [98/100], Step[385/526], Loss: 0.6212
Epoch [98/100], Step[386/526], Loss: 0.6237
Epoch [98/100], Step[387/526], Loss: 0.6317
Epoch [98/100], Step[388/526], Loss: 0.5809
Epoch [98/100], Step[389/526], Loss: 0.7269
Epoch [98/100], Step[390/526], Loss: 0.5659
Epoch [98/100], Step[391/526], Loss: 0.6309
Epoch [98/100], Step[392/526], Loss: 0.7275
Epoch [98/100], Step[393/526], Loss: 0.5797
Epoch [98/100], Step[394/526], Loss: 0.5056
Epoch [98/100], Step[395/526], Loss: 0.5844
Epoch [98/100], Step[396/526], Loss: 0.6289
Epoch [98/100], Step[397/526], Loss: 0.4764
Epoch [98/100], Step[398/526], Loss: 0.6104
Epoch [98/100], Step[399/526], Loss: 0.6677
Epoch [98/100], Step[400/526], Loss: 0.4673
Epoch [98/100], Step[401/526], Loss: 0.6033
Epoch [98/100], Step[402/526], Loss: 0.6402
Epoch [98/100], Step[403/526], Loss: 0.7598
Epoch [98/100], Step[404/526], Loss: 0.4709
Epoch [98/100], Step[405/526], Loss: 0.4890
Epoch [98/100], Step[406/526], Loss: 0.6396
Epoch [98/100], Step[407/526], Loss: 0.7721
Epoch [98/100], Step[408/526], Loss: 0.6779
Epoch [98/100], Step[409/526], Loss: 0.4689
Epoch [98/100], Step[410/526], Loss: 0.4961
Epoch [98/100], Step[411/526], Loss: 0.5259
Epoch [98/100], Step[412/526], Loss: 0.5892
Epoch [98/100], Step[413/526], Loss: 0.5960
Epoch [98/100], Step[414/526], Loss: 0.6378
Epoch [98/100], Step[415/526], Loss: 0.6240
Epoch [98/100], Step[416/526], Loss: 0.5966
Epoch [98/100], Step[417/526], Loss: 0.4617
Epoch [98/100], Step[418/526], Loss: 0.8010
Epoch [98/100], Step[419/526], Loss: 0.6671
Epoch [98/100], Step[420/526], Loss: 0.6872
Epoch [98/100], Step[421/526], Loss: 0.6535
Epoch [98/100], Step[422/526], Loss: 0.7551
Epoch [98/100], Step[423/526], Loss: 0.7042
Epoch [98/100], Step[424/526], Loss: 0.7458
Epoch [98/100], Step[425/526], Loss: 0.7107
Epoch [98/100], Step[426/526], Loss: 0.7426
Epoch [98/100], Step[427/526], Loss: 0.7006
Epoch [98/100], Step[428/526], Loss: 0.7055
Epoch [98/100], Step[429/526], Loss: 0.7280
Epoch [98/100], Step[430/526], Loss: 0.7682
Epoch [98/100], Step[431/526], Loss: 0.7108
Epoch [98/100], Step[432/526], Loss: 0.7192
Epoch [98/100], Step[433/526], Loss: 0.6745
Epoch [98/100], Step[434/526], Loss: 0.6108
Epoch [98/100], Step[435/526], Loss: 0.7737
Epoch [98/100], Step[436/526], Loss: 0.7949
Epoch [98/100], Step[437/526], Loss: 0.4900
Epoch [98/100], Step[438/526], Loss: 0.3844
Epoch [98/100], Step[439/526], Loss: 0.7078
Epoch [98/100], Step[440/526], Loss: 0.6829
Epoch [98/100], Step[441/526], Loss: 0.7090
Epoch [98/100], Step[442/526], Loss: 0.6554
Epoch [98/100], Step[443/526], Loss: 0.6701
Epoch [98/100], Step[444/526], Loss: 0.7561
Epoch [98/100], Step[445/526], Loss: 0.7167
Epoch [98/100], Step[446/526], Loss: 0.6970
Epoch [98/100], Step[447/526], Loss: 0.7321
Epoch [98/100], Step[448/526], Loss: 0.7212
Epoch [98/100], Step[449/526], Loss: 0.6672
Epoch [98/100], Step[450/526], Loss: 0.5960
Epoch [98/100], Step[451/526], Loss: 0.6816
Epoch [98/100], Step[452/526], Loss: 0.7322
Epoch [98/100], Step[453/526], Loss: 0.7013
Epoch [98/100], Step[454/526], Loss: 0.8322
Epoch [98/100], Step[455/526], Loss: 0.6210
Epoch [98/100], Step[456/526], Loss: 0.6265
Epoch [98/100], Step[457/526], Loss: 0.7037
Epoch [98/100], Step[458/526], Loss: 0.6632
Epoch [98/100], Step[459/526], Loss: 0.6347
Epoch [98/100], Step[460/526], Loss: 0.6117
Epoch [98/100], Step[461/526], Loss: 0.5846
Epoch [98/100], Step[462/526], Loss: 0.6444
Epoch [98/100], Step[463/526], Loss: 0.6299
Epoch [98/100], Step[464/526], Loss: 0.6033
Epoch [98/100], Step[465/526], Loss: 0.6406
Epoch [98/100], Step[466/526], Loss: 0.6576
Epoch [98/100], Step[467/526], Loss: 0.6380
Epoch [98/100], Step[468/526], Loss: 0.5773
Epoch [98/100], Step[469/526], Loss: 0.8528
Epoch [98/100], Step[470/526], Loss: 0.6614
Epoch [98/100], Step[471/526], Loss: 0.7032
Epoch [98/100], Step[472/526], Loss: 0.6845
Epoch [98/100], Step[473/526], Loss: 0.6714
Epoch [98/100], Step[474/526], Loss: 0.6675
Epoch [98/100], Step[475/526], Loss: 0.8564
Epoch [98/100], Step[476/526], Loss: 0.7420
Epoch [98/100], Step[477/526], Loss: 0.6848
Epoch [98/100], Step[478/526], Loss: 0.6894
Epoch [98/100], Step[479/526], Loss: 0.6625
Epoch [98/100], Step[480/526], Loss: 0.7266
Epoch [98/100], Step[481/526], Loss: 0.7322
Epoch [98/100], Step[482/526], Loss: 0.6521
Epoch [98/100], Step[483/526], Loss: 0.5365
Epoch [98/100], Step[484/526], Loss: 0.7195
Epoch [98/100], Step[485/526], Loss: 0.7726
Epoch [98/100], Step[486/526], Loss: 0.7354
Epoch [98/100], Step[487/526], Loss: 0.7262
Epoch [98/100], Step[488/526], Loss: 0.6446
Epoch [98/100], Step[489/526], Loss: 0.6446
Epoch [98/100], Step[490/526], Loss: 0.5934
Epoch [98/100], Step[491/526], Loss: 0.6515
Epoch [98/100], Step[492/526], Loss: 0.6281
Epoch [98/100], Step[493/526], Loss: 0.6189
Epoch [98/100], Step[494/526], Loss: 0.6706
Epoch [98/100], Step[495/526], Loss: 0.6813
Epoch [98/100], Step[496/526], Loss: 0.6449
Epoch [98/100], Step[497/526], Loss: 0.6294
Epoch [98/100], Step[498/526], Loss: 0.6907
Epoch [98/100], Step[499/526], Loss: 0.6649
Epoch [98/100], Step[500/526], Loss: 0.7076
Epoch [98/100], Step[501/526], Loss: 0.6643
Epoch [98/100], Step[502/526], Loss: 0.6929
Epoch [98/100], Step[503/526], Loss: 0.7062
Epoch [98/100], Step[504/526], Loss: 0.7021
Epoch [98/100], Step[505/526], Loss: 0.7299
Epoch [98/100], Step[506/526], Loss: 0.6578
Epoch [98/100], Step[507/526], Loss: 0.6715
Epoch [98/100], Step[508/526], Loss: 0.7089
Epoch [98/100], Step[509/526], Loss: 0.6411
Epoch [98/100], Step[510/526], Loss: 0.7106
Epoch [98/100], Step[511/526], Loss: 0.6036
Epoch [98/100], Step[512/526], Loss: 0.6408
Epoch [98/100], Step[513/526], Loss: 0.6565
Epoch [98/100], Step[514/526], Loss: 0.6318
Epoch [98/100], Step[515/526], Loss: 0.5583
Epoch [98/100], Step[516/526], Loss: 0.7391
Epoch [98/100], Step[517/526], Loss: 0.7367
Epoch [98/100], Step[518/526], Loss: 0.7546
Epoch [98/100], Step[519/526], Loss: 0.7672
Epoch [98/100], Step[520/526], Loss: 0.7005
Epoch [98/100], Step[521/526], Loss: 0.7169
Epoch [98/100], Step[522/526], Loss: 0.6307
Epoch [98/100], Step[523/526], Loss: 0.6638
Epoch [98/100], Step[524/526], Loss: 0.6279
Epoch [98/100], Step[525/526], Loss: 0.8200
Epoch [98/100], Step[526/526], Loss: 0.6627
Epoch [99/100], Step[1/526], Loss: 0.6355
Epoch [99/100], Step[2/526], Loss: 0.6163
Epoch [99/100], Step[3/526], Loss: 0.6768
Epoch [99/100], Step[4/526], Loss: 0.6169
Epoch [99/100], Step[5/526], Loss: 0.7626
Epoch [99/100], Step[6/526], Loss: 0.7890
Epoch [99/100], Step[7/526], Loss: 0.7068
Epoch [99/100], Step[8/526], Loss: 0.6871
Epoch [99/100], Step[9/526], Loss: 0.7131
Epoch [99/100], Step[10/526], Loss: 0.6477
Epoch [99/100], Step[11/526], Loss: 0.6926
Epoch [99/100], Step[12/526], Loss: 0.7659
Epoch [99/100], Step[13/526], Loss: 0.6122
Epoch [99/100], Step[14/526], Loss: 0.6814
Epoch [99/100], Step[15/526], Loss: 0.6933
Epoch [99/100], Step[16/526], Loss: 0.7105
Epoch [99/100], Step[17/526], Loss: 0.6967
Epoch [99/100], Step[18/526], Loss: 0.6663
Epoch [99/100], Step[19/526], Loss: 0.7094
Epoch [99/100], Step[20/526], Loss: 0.7731
Epoch [99/100], Step[21/526], Loss: 0.7785
Epoch [99/100], Step[22/526], Loss: 0.7304
Epoch [99/100], Step[23/526], Loss: 0.7702
Epoch [99/100], Step[24/526], Loss: 0.7581
Epoch [99/100], Step[25/526], Loss: 0.6858
Epoch [99/100], Step[26/526], Loss: 0.6161
Epoch [99/100], Step[27/526], Loss: 0.6855
Epoch [99/100], Step[28/526], Loss: 0.7157
Epoch [99/100], Step[29/526], Loss: 0.6233
Epoch [99/100], Step[30/526], Loss: 0.7007
Epoch [99/100], Step[31/526], Loss: 0.7060
Epoch [99/100], Step[32/526], Loss: 0.6683
Epoch [99/100], Step[33/526], Loss: 0.7075
Epoch [99/100], Step[34/526], Loss: 0.6817
Epoch [99/100], Step[35/526], Loss: 0.7219
Epoch [99/100], Step[36/526], Loss: 0.6597
Epoch [99/100], Step[37/526], Loss: 0.7145
Epoch [99/100], Step[38/526], Loss: 0.7276
Epoch [99/100], Step[39/526], Loss: 0.7112
Epoch [99/100], Step[40/526], Loss: 0.7297
Epoch [99/100], Step[41/526], Loss: 0.6490
Epoch [99/100], Step[42/526], Loss: 0.7246
Epoch [99/100], Step[43/526], Loss: 0.7120
Epoch [99/100], Step[44/526], Loss: 0.6810
Epoch [99/100], Step[45/526], Loss: 0.6861
Epoch [99/100], Step[46/526], Loss: 0.6909
Epoch [99/100], Step[47/526], Loss: 0.7078
Epoch [99/100], Step[48/526], Loss: 0.7327
Epoch [99/100], Step[49/526], Loss: 0.7080
Epoch [99/100], Step[50/526], Loss: 0.7136
Epoch [99/100], Step[51/526], Loss: 0.6974
Epoch [99/100], Step[52/526], Loss: 0.6885
Epoch [99/100], Step[53/526], Loss: 0.7142
Epoch [99/100], Step[54/526], Loss: 0.7139
Epoch [99/100], Step[55/526], Loss: 0.6948
Epoch [99/100], Step[56/526], Loss: 0.6822
Epoch [99/100], Step[57/526], Loss: 0.6799
Epoch [99/100], Step[58/526], Loss: 0.6711
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Epoch [99/100], Step[76/526], Loss: 0.6932
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Epoch [99/100], Step[82/526], Loss: 0.7290
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Epoch [99/100], Step[89/526], Loss: 0.7181
Epoch [99/100], Step[90/526], Loss: 0.6757
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Epoch [99/100], Step[100/526], Loss: 0.6377
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Epoch [99/100], Step[103/526], Loss: 0.7179
Epoch [99/100], Step[104/526], Loss: 0.6434
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Epoch [99/100], Step[108/526], Loss: 0.5937
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Epoch [99/100], Step[110/526], Loss: 0.6967
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Epoch [99/100], Step[113/526], Loss: 0.6105
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Epoch [99/100], Step[115/526], Loss: 0.6001
Epoch [99/100], Step[116/526], Loss: 0.6368
Epoch [99/100], Step[117/526], Loss: 0.6880
Epoch [99/100], Step[118/526], Loss: 0.7552
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Epoch [99/100], Step[120/526], Loss: 0.6685
Epoch [99/100], Step[121/526], Loss: 0.6869
Epoch [99/100], Step[122/526], Loss: 0.6143
Epoch [99/100], Step[123/526], Loss: 0.6546
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Epoch [99/100], Step[125/526], Loss: 0.6389
Epoch [99/100], Step[126/526], Loss: 0.7149
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Epoch [99/100], Step[129/526], Loss: 0.6084
Epoch [99/100], Step[130/526], Loss: 0.6296
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Epoch [99/100], Step[132/526], Loss: 0.7154
Epoch [99/100], Step[133/526], Loss: 0.6719
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Epoch [99/100], Step[135/526], Loss: 0.6433
Epoch [99/100], Step[136/526], Loss: 0.5622
Epoch [99/100], Step[137/526], Loss: 0.6451
Epoch [99/100], Step[138/526], Loss: 0.6632
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Epoch [99/100], Step[140/526], Loss: 0.5828
Epoch [99/100], Step[141/526], Loss: 0.6591
Epoch [99/100], Step[142/526], Loss: 0.6725
Epoch [99/100], Step[143/526], Loss: 0.6937
Epoch [99/100], Step[144/526], Loss: 0.7750
Epoch [99/100], Step[145/526], Loss: 0.5314
Epoch [99/100], Step[146/526], Loss: 0.5073
Epoch [99/100], Step[147/526], Loss: 0.4715
Epoch [99/100], Step[148/526], Loss: 0.5956
Epoch [99/100], Step[149/526], Loss: 0.5102
Epoch [99/100], Step[150/526], Loss: 0.5484
Epoch [99/100], Step[151/526], Loss: 0.5443
Epoch [99/100], Step[152/526], Loss: 0.6283
Epoch [99/100], Step[153/526], Loss: 0.6455
Epoch [99/100], Step[154/526], Loss: 0.7063
Epoch [99/100], Step[155/526], Loss: 0.7180
Epoch [99/100], Step[156/526], Loss: 0.5374
Epoch [99/100], Step[157/526], Loss: 0.2780
Epoch [99/100], Step[158/526], Loss: 0.5823
Epoch [99/100], Step[159/526], Loss: 0.6660
Epoch [99/100], Step[160/526], Loss: 0.5541
Epoch [99/100], Step[161/526], Loss: 0.8140
Epoch [99/100], Step[162/526], Loss: 0.7054
Epoch [99/100], Step[163/526], Loss: 0.7261
Epoch [99/100], Step[164/526], Loss: 0.6255
Epoch [99/100], Step[165/526], Loss: 0.7327
Epoch [99/100], Step[166/526], Loss: 0.5247
Epoch [99/100], Step[167/526], Loss: 0.5605
Epoch [99/100], Step[168/526], Loss: 0.6948
Epoch [99/100], Step[169/526], Loss: 0.7461
Epoch [99/100], Step[170/526], Loss: 0.6989
Epoch [99/100], Step[171/526], Loss: 0.7262
Epoch [99/100], Step[172/526], Loss: 0.7102
Epoch [99/100], Step[173/526], Loss: 0.8164
Epoch [99/100], Step[174/526], Loss: 0.6268
Epoch [99/100], Step[175/526], Loss: 0.6649
Epoch [99/100], Step[176/526], Loss: 0.6085
Epoch [99/100], Step[177/526], Loss: 0.6627
Epoch [99/100], Step[178/526], Loss: 0.6892
Epoch [99/100], Step[179/526], Loss: 0.6161
Epoch [99/100], Step[180/526], Loss: 0.6749
Epoch [99/100], Step[181/526], Loss: 0.6508
Epoch [99/100], Step[182/526], Loss: 0.6660
Epoch [99/100], Step[183/526], Loss: 0.5398
Epoch [99/100], Step[184/526], Loss: 0.6111
Epoch [99/100], Step[185/526], Loss: 0.5961
Epoch [99/100], Step[186/526], Loss: 0.6386
Epoch [99/100], Step[187/526], Loss: 0.7592
Epoch [99/100], Step[188/526], Loss: 0.7111
Epoch [99/100], Step[189/526], Loss: 0.6872
Epoch [99/100], Step[190/526], Loss: 0.6900
Epoch [99/100], Step[191/526], Loss: 0.7116
Epoch [99/100], Step[192/526], Loss: 0.8376
Epoch [99/100], Step[193/526], Loss: 0.6485
Epoch [99/100], Step[194/526], Loss: 0.6166
Epoch [99/100], Step[195/526], Loss: 0.6556
Epoch [99/100], Step[196/526], Loss: 0.7423
Epoch [99/100], Step[197/526], Loss: 0.6862
Epoch [99/100], Step[198/526], Loss: 0.6313
Epoch [99/100], Step[199/526], Loss: 0.7442
Epoch [99/100], Step[200/526], Loss: 0.6791
Epoch [99/100], Step[201/526], Loss: 0.6747
Epoch [99/100], Step[202/526], Loss: 0.7355
Epoch [99/100], Step[203/526], Loss: 0.7080
Epoch [99/100], Step[204/526], Loss: 0.7189
Epoch [99/100], Step[205/526], Loss: 0.6911
Epoch [99/100], Step[206/526], Loss: 0.6838
Epoch [99/100], Step[207/526], Loss: 0.7173
Epoch [99/100], Step[208/526], Loss: 0.6835
Epoch [99/100], Step[209/526], Loss: 0.6821
Epoch [99/100], Step[210/526], Loss: 0.7628
Epoch [99/100], Step[211/526], Loss: 0.6233
Epoch [99/100], Step[212/526], Loss: 0.6857
Epoch [99/100], Step[213/526], Loss: 0.7209
Epoch [99/100], Step[214/526], Loss: 0.7284
Epoch [99/100], Step[215/526], Loss: 0.6954
Epoch [99/100], Step[216/526], Loss: 0.6726
Epoch [99/100], Step[217/526], Loss: 0.6593
Epoch [99/100], Step[218/526], Loss: 0.7007
Epoch [99/100], Step[219/526], Loss: 0.7027
Epoch [99/100], Step[220/526], Loss: 0.7235
Epoch [99/100], Step[221/526], Loss: 0.7003
Epoch [99/100], Step[222/526], Loss: 0.7393
Epoch [99/100], Step[223/526], Loss: 0.6484
Epoch [99/100], Step[224/526], Loss: 0.6531
Epoch [99/100], Step[225/526], Loss: 0.7194
Epoch [99/100], Step[226/526], Loss: 0.6670
Epoch [99/100], Step[227/526], Loss: 0.6553
Epoch [99/100], Step[228/526], Loss: 0.6573
Epoch [99/100], Step[229/526], Loss: 0.6845
Epoch [99/100], Step[230/526], Loss: 0.6487
Epoch [99/100], Step[231/526], Loss: 0.6633
Epoch [99/100], Step[232/526], Loss: 0.7098
Epoch [99/100], Step[233/526], Loss: 0.6729
Epoch [99/100], Step[234/526], Loss: 0.6384
Epoch [99/100], Step[235/526], Loss: 0.6900
Epoch [99/100], Step[236/526], Loss: 0.6767
Epoch [99/100], Step[237/526], Loss: 0.7168
Epoch [99/100], Step[238/526], Loss: 0.6378
Epoch [99/100], Step[239/526], Loss: 0.6157
Epoch [99/100], Step[240/526], Loss: 0.6738
Epoch [99/100], Step[241/526], Loss: 0.6561
Epoch [99/100], Step[242/526], Loss: 0.6473
Epoch [99/100], Step[243/526], Loss: 0.5825
Epoch [99/100], Step[244/526], Loss: 0.5450
Epoch [99/100], Step[245/526], Loss: 0.5778
Epoch [99/100], Step[246/526], Loss: 0.6320
Epoch [99/100], Step[247/526], Loss: 0.5075
Epoch [99/100], Step[248/526], Loss: 0.5711
Epoch [99/100], Step[249/526], Loss: 0.7880
Epoch [99/100], Step[250/526], Loss: 0.7818
Epoch [99/100], Step[251/526], Loss: 0.6923
Epoch [99/100], Step[252/526], Loss: 0.6776
Epoch [99/100], Step[253/526], Loss: 0.5971
Epoch [99/100], Step[254/526], Loss: 0.6930
Epoch [99/100], Step[255/526], Loss: 0.5659
Epoch [99/100], Step[256/526], Loss: 0.6589
Epoch [99/100], Step[257/526], Loss: 0.5155
Epoch [99/100], Step[258/526], Loss: 0.5968
Epoch [99/100], Step[259/526], Loss: 0.7019
Epoch [99/100], Step[260/526], Loss: 0.6686
Epoch [99/100], Step[261/526], Loss: 0.7755
Epoch [99/100], Step[262/526], Loss: 0.5662
Epoch [99/100], Step[263/526], Loss: 0.6189
Epoch [99/100], Step[264/526], Loss: 0.5922
Epoch [99/100], Step[265/526], Loss: 0.3204
Epoch [99/100], Step[266/526], Loss: 0.3174
Epoch [99/100], Step[267/526], Loss: 0.4902
Epoch [99/100], Step[268/526], Loss: 0.5677
Epoch [99/100], Step[269/526], Loss: 0.4793
Epoch [99/100], Step[270/526], Loss: 0.4202
Epoch [99/100], Step[271/526], Loss: 0.5664
Epoch [99/100], Step[272/526], Loss: 0.5639
Epoch [99/100], Step[273/526], Loss: 0.6466
Epoch [99/100], Step[274/526], Loss: 0.4571
Epoch [99/100], Step[275/526], Loss: 0.4212
Epoch [99/100], Step[276/526], Loss: 0.4910
Epoch [99/100], Step[277/526], Loss: 0.4093
Epoch [99/100], Step[278/526], Loss: 0.4951
Epoch [99/100], Step[279/526], Loss: 0.4736
Epoch [99/100], Step[280/526], Loss: 0.5272
Epoch [99/100], Step[281/526], Loss: 0.6873
Epoch [99/100], Step[282/526], Loss: 0.4332
Epoch [99/100], Step[283/526], Loss: 0.3730
Epoch [99/100], Step[284/526], Loss: 0.4671
Epoch [99/100], Step[285/526], Loss: 0.3077
Epoch [99/100], Step[286/526], Loss: 0.7069
Epoch [99/100], Step[287/526], Loss: 0.5154
Epoch [99/100], Step[288/526], Loss: 0.4185
Epoch [99/100], Step[289/526], Loss: 0.5995
Epoch [99/100], Step[290/526], Loss: 0.4565
Epoch [99/100], Step[291/526], Loss: 0.4661
Epoch [99/100], Step[292/526], Loss: 0.3107
Epoch [99/100], Step[293/526], Loss: 0.3208
Epoch [99/100], Step[294/526], Loss: 0.3597
Epoch [99/100], Step[295/526], Loss: 0.4682
Epoch [99/100], Step[296/526], Loss: 0.6044
Epoch [99/100], Step[297/526], Loss: 0.3607
Epoch [99/100], Step[298/526], Loss: 0.3238
Epoch [99/100], Step[299/526], Loss: 0.2633
Epoch [99/100], Step[300/526], Loss: 0.2770
Epoch [99/100], Step[301/526], Loss: 0.6394
Epoch [99/100], Step[302/526], Loss: 0.4005
Epoch [99/100], Step[303/526], Loss: 0.4328
Epoch [99/100], Step[304/526], Loss: 0.2651
Epoch [99/100], Step[305/526], Loss: 0.2858
Epoch [99/100], Step[306/526], Loss: 0.5693
Epoch [99/100], Step[307/526], Loss: 0.8811
Epoch [99/100], Step[308/526], Loss: 1.2901
Epoch [99/100], Step[309/526], Loss: 0.9237
Epoch [99/100], Step[310/526], Loss: 0.8877
Epoch [99/100], Step[311/526], Loss: 0.7893
Epoch [99/100], Step[312/526], Loss: 0.4744
Epoch [99/100], Step[313/526], Loss: 0.4511
Epoch [99/100], Step[314/526], Loss: 0.6053
Epoch [99/100], Step[315/526], Loss: 0.7499
Epoch [99/100], Step[316/526], Loss: 0.4933
Epoch [99/100], Step[317/526], Loss: 0.3301
Epoch [99/100], Step[318/526], Loss: 0.7796
Epoch [99/100], Step[319/526], Loss: 0.3655
Epoch [99/100], Step[320/526], Loss: 0.6412
Epoch [99/100], Step[321/526], Loss: 0.7439
Epoch [99/100], Step[322/526], Loss: 0.2813
Epoch [99/100], Step[323/526], Loss: 0.6163
Epoch [99/100], Step[324/526], Loss: 0.6739
Epoch [99/100], Step[325/526], Loss: 0.5837
Epoch [99/100], Step[326/526], Loss: 0.7488
Epoch [99/100], Step[327/526], Loss: 0.7200
Epoch [99/100], Step[328/526], Loss: 0.9376
Epoch [99/100], Step[329/526], Loss: 1.3019
Epoch [99/100], Step[330/526], Loss: 1.0682
Epoch [99/100], Step[331/526], Loss: 0.7767
Epoch [99/100], Step[332/526], Loss: 0.8581
Epoch [99/100], Step[333/526], Loss: 0.7518
Epoch [99/100], Step[334/526], Loss: 0.7576
Epoch [99/100], Step[335/526], Loss: 0.7701
Epoch [99/100], Step[336/526], Loss: 0.6707
Epoch [99/100], Step[337/526], Loss: 0.5826
Epoch [99/100], Step[338/526], Loss: 0.7065
Epoch [99/100], Step[339/526], Loss: 0.6632
Epoch [99/100], Step[340/526], Loss: 0.7214
Epoch [99/100], Step[341/526], Loss: 0.7708
Epoch [99/100], Step[342/526], Loss: 0.7738
Epoch [99/100], Step[343/526], Loss: 0.5347
Epoch [99/100], Step[344/526], Loss: 0.7127
Epoch [99/100], Step[345/526], Loss: 0.6691
Epoch [99/100], Step[346/526], Loss: 0.6779
Epoch [99/100], Step[347/526], Loss: 0.7163
Epoch [99/100], Step[348/526], Loss: 0.6376
Epoch [99/100], Step[349/526], Loss: 0.5584
Epoch [99/100], Step[350/526], Loss: 0.6509
Epoch [99/100], Step[351/526], Loss: 0.7019
Epoch [99/100], Step[352/526], Loss: 0.6239
Epoch [99/100], Step[353/526], Loss: 0.6758
Epoch [99/100], Step[354/526], Loss: 0.6766
Epoch [99/100], Step[355/526], Loss: 0.6659
Epoch [99/100], Step[356/526], Loss: 0.6921
Epoch [99/100], Step[357/526], Loss: 0.6421
Epoch [99/100], Step[358/526], Loss: 0.7063
Epoch [99/100], Step[359/526], Loss: 0.6383
Epoch [99/100], Step[360/526], Loss: 0.6752
Epoch [99/100], Step[361/526], Loss: 0.7224
Epoch [99/100], Step[362/526], Loss: 0.6957
Epoch [99/100], Step[363/526], Loss: 0.7007
Epoch [99/100], Step[364/526], Loss: 0.7262
Epoch [99/100], Step[365/526], Loss: 0.7361
Epoch [99/100], Step[366/526], Loss: 0.6803
Epoch [99/100], Step[367/526], Loss: 0.6796
Epoch [99/100], Step[368/526], Loss: 0.6555
Epoch [99/100], Step[369/526], Loss: 0.6396
Epoch [99/100], Step[370/526], Loss: 0.6059
Epoch [99/100], Step[371/526], Loss: 0.7376
Epoch [99/100], Step[372/526], Loss: 0.6368
Epoch [99/100], Step[373/526], Loss: 0.6744
Epoch [99/100], Step[374/526], Loss: 0.7013
Epoch [99/100], Step[375/526], Loss: 0.6355
Epoch [99/100], Step[376/526], Loss: 0.6308
Epoch [99/100], Step[377/526], Loss: 0.6815
Epoch [99/100], Step[378/526], Loss: 0.6806
Epoch [99/100], Step[379/526], Loss: 0.7800
Epoch [99/100], Step[380/526], Loss: 0.5962
Epoch [99/100], Step[381/526], Loss: 0.5820
Epoch [99/100], Step[382/526], Loss: 0.6669
Epoch [99/100], Step[383/526], Loss: 0.6929
Epoch [99/100], Step[384/526], Loss: 0.6385
Epoch [99/100], Step[385/526], Loss: 0.6238
Epoch [99/100], Step[386/526], Loss: 0.6336
Epoch [99/100], Step[387/526], Loss: 0.6353
Epoch [99/100], Step[388/526], Loss: 0.5828
Epoch [99/100], Step[389/526], Loss: 0.7309
Epoch [99/100], Step[390/526], Loss: 0.5639
Epoch [99/100], Step[391/526], Loss: 0.6303
Epoch [99/100], Step[392/526], Loss: 0.7197
Epoch [99/100], Step[393/526], Loss: 0.5801
Epoch [99/100], Step[394/526], Loss: 0.5066
Epoch [99/100], Step[395/526], Loss: 0.5842
Epoch [99/100], Step[396/526], Loss: 0.6295
Epoch [99/100], Step[397/526], Loss: 0.4723
Epoch [99/100], Step[398/526], Loss: 0.6103
Epoch [99/100], Step[399/526], Loss: 0.6663
Epoch [99/100], Step[400/526], Loss: 0.4678
Epoch [99/100], Step[401/526], Loss: 0.6085
Epoch [99/100], Step[402/526], Loss: 0.6375
Epoch [99/100], Step[403/526], Loss: 0.7621
Epoch [99/100], Step[404/526], Loss: 0.4751
Epoch [99/100], Step[405/526], Loss: 0.4957
Epoch [99/100], Step[406/526], Loss: 0.6320
Epoch [99/100], Step[407/526], Loss: 0.7573
Epoch [99/100], Step[408/526], Loss: 0.6651
Epoch [99/100], Step[409/526], Loss: 0.4725
Epoch [99/100], Step[410/526], Loss: 0.5016
Epoch [99/100], Step[411/526], Loss: 0.5326
Epoch [99/100], Step[412/526], Loss: 0.5968
Epoch [99/100], Step[413/526], Loss: 0.6044
Epoch [99/100], Step[414/526], Loss: 0.6476
Epoch [99/100], Step[415/526], Loss: 0.6042
Epoch [99/100], Step[416/526], Loss: 0.5833
Epoch [99/100], Step[417/526], Loss: 0.4629
Epoch [99/100], Step[418/526], Loss: 0.7631
Epoch [99/100], Step[419/526], Loss: 0.6724
Epoch [99/100], Step[420/526], Loss: 0.6796
Epoch [99/100], Step[421/526], Loss: 0.6580
Epoch [99/100], Step[422/526], Loss: 0.7528
Epoch [99/100], Step[423/526], Loss: 0.7015
Epoch [99/100], Step[424/526], Loss: 0.7449
Epoch [99/100], Step[425/526], Loss: 0.7053
Epoch [99/100], Step[426/526], Loss: 0.7536
Epoch [99/100], Step[427/526], Loss: 0.7040
Epoch [99/100], Step[428/526], Loss: 0.7074
Epoch [99/100], Step[429/526], Loss: 0.7411
Epoch [99/100], Step[430/526], Loss: 0.7777
Epoch [99/100], Step[431/526], Loss: 0.7053
Epoch [99/100], Step[432/526], Loss: 0.7218
Epoch [99/100], Step[433/526], Loss: 0.6708
Epoch [99/100], Step[434/526], Loss: 0.6024
Epoch [99/100], Step[435/526], Loss: 0.7713
Epoch [99/100], Step[436/526], Loss: 0.8126
Epoch [99/100], Step[437/526], Loss: 0.4869
Epoch [99/100], Step[438/526], Loss: 0.3690
Epoch [99/100], Step[439/526], Loss: 0.7152
Epoch [99/100], Step[440/526], Loss: 0.6847
Epoch [99/100], Step[441/526], Loss: 0.7035
Epoch [99/100], Step[442/526], Loss: 0.6466
Epoch [99/100], Step[443/526], Loss: 0.6644
Epoch [99/100], Step[444/526], Loss: 0.7588
Epoch [99/100], Step[445/526], Loss: 0.7152
Epoch [99/100], Step[446/526], Loss: 0.7031
Epoch [99/100], Step[447/526], Loss: 0.7305
Epoch [99/100], Step[448/526], Loss: 0.7249
Epoch [99/100], Step[449/526], Loss: 0.6698
Epoch [99/100], Step[450/526], Loss: 0.5996
Epoch [99/100], Step[451/526], Loss: 0.6768
Epoch [99/100], Step[452/526], Loss: 0.7314
Epoch [99/100], Step[453/526], Loss: 0.7034
Epoch [99/100], Step[454/526], Loss: 0.8369
Epoch [99/100], Step[455/526], Loss: 0.6278
Epoch [99/100], Step[456/526], Loss: 0.6238
Epoch [99/100], Step[457/526], Loss: 0.6984
Epoch [99/100], Step[458/526], Loss: 0.6758
Epoch [99/100], Step[459/526], Loss: 0.6426
Epoch [99/100], Step[460/526], Loss: 0.6226
Epoch [99/100], Step[461/526], Loss: 0.5927
Epoch [99/100], Step[462/526], Loss: 0.6528
Epoch [99/100], Step[463/526], Loss: 0.6385
Epoch [99/100], Step[464/526], Loss: 0.6160
Epoch [99/100], Step[465/526], Loss: 0.6474
Epoch [99/100], Step[466/526], Loss: 0.6665
Epoch [99/100], Step[467/526], Loss: 0.6380
Epoch [99/100], Step[468/526], Loss: 0.5896
Epoch [99/100], Step[469/526], Loss: 0.8434
Epoch [99/100], Step[470/526], Loss: 0.6643
Epoch [99/100], Step[471/526], Loss: 0.7002
Epoch [99/100], Step[472/526], Loss: 0.6795
Epoch [99/100], Step[473/526], Loss: 0.6786
Epoch [99/100], Step[474/526], Loss: 0.6729
Epoch [99/100], Step[475/526], Loss: 0.8566
Epoch [99/100], Step[476/526], Loss: 0.7390
Epoch [99/100], Step[477/526], Loss: 0.6865
Epoch [99/100], Step[478/526], Loss: 0.6846
Epoch [99/100], Step[479/526], Loss: 0.6579
Epoch [99/100], Step[480/526], Loss: 0.7301
Epoch [99/100], Step[481/526], Loss: 0.7387
Epoch [99/100], Step[482/526], Loss: 0.6439
Epoch [99/100], Step[483/526], Loss: 0.5325
Epoch [99/100], Step[484/526], Loss: 0.7287
Epoch [99/100], Step[485/526], Loss: 0.7859
Epoch [99/100], Step[486/526], Loss: 0.7400
Epoch [99/100], Step[487/526], Loss: 0.7631
Epoch [99/100], Step[488/526], Loss: 0.6563
Epoch [99/100], Step[489/526], Loss: 0.6106
Epoch [99/100], Step[490/526], Loss: 0.5931
Epoch [99/100], Step[491/526], Loss: 0.6834
Epoch [99/100], Step[492/526], Loss: 0.6349
Epoch [99/100], Step[493/526], Loss: 0.6270
Epoch [99/100], Step[494/526], Loss: 0.6744
Epoch [99/100], Step[495/526], Loss: 0.6870
Epoch [99/100], Step[496/526], Loss: 0.6559
Epoch [99/100], Step[497/526], Loss: 0.6285
Epoch [99/100], Step[498/526], Loss: 0.6737
Epoch [99/100], Step[499/526], Loss: 0.6647
Epoch [99/100], Step[500/526], Loss: 0.7181
Epoch [99/100], Step[501/526], Loss: 0.6566
Epoch [99/100], Step[502/526], Loss: 0.7016
Epoch [99/100], Step[503/526], Loss: 0.7095
Epoch [99/100], Step[504/526], Loss: 0.7103
Epoch [99/100], Step[505/526], Loss: 0.7230
Epoch [99/100], Step[506/526], Loss: 0.6534
Epoch [99/100], Step[507/526], Loss: 0.6750
Epoch [99/100], Step[508/526], Loss: 0.6966
Epoch [99/100], Step[509/526], Loss: 0.6345
Epoch [99/100], Step[510/526], Loss: 0.7020
Epoch [99/100], Step[511/526], Loss: 0.6304
Epoch [99/100], Step[512/526], Loss: 0.6621
Epoch [99/100], Step[513/526], Loss: 0.6310
Epoch [99/100], Step[514/526], Loss: 0.6529
Epoch [99/100], Step[515/526], Loss: 0.5611
Epoch [99/100], Step[516/526], Loss: 0.7572
Epoch [99/100], Step[517/526], Loss: 0.6912
Epoch [99/100], Step[518/526], Loss: 0.7428
Epoch [99/100], Step[519/526], Loss: 0.7251
Epoch [99/100], Step[520/526], Loss: 0.6810
Epoch [99/100], Step[521/526], Loss: 0.6891
Epoch [99/100], Step[522/526], Loss: 0.5821
Epoch [99/100], Step[523/526], Loss: 0.6402
Epoch [99/100], Step[524/526], Loss: 0.6149
Epoch [99/100], Step[525/526], Loss: 0.7634
Epoch [99/100], Step[526/526], Loss: 0.7199
Epoch [100/100], Step[1/526], Loss: 0.6547
Epoch [100/100], Step[2/526], Loss: 0.6407
Epoch [100/100], Step[3/526], Loss: 0.6787
Epoch [100/100], Step[4/526], Loss: 0.6273
Epoch [100/100], Step[5/526], Loss: 0.7477
Epoch [100/100], Step[6/526], Loss: 0.7583
Epoch [100/100], Step[7/526], Loss: 0.6907
Epoch [100/100], Step[8/526], Loss: 0.6775
Epoch [100/100], Step[9/526], Loss: 0.6983
Epoch [100/100], Step[10/526], Loss: 0.6538
Epoch [100/100], Step[11/526], Loss: 0.6880
Epoch [100/100], Step[12/526], Loss: 0.7457
Epoch [100/100], Step[13/526], Loss: 0.6065
Epoch [100/100], Step[14/526], Loss: 0.6613
Epoch [100/100], Step[15/526], Loss: 0.6758
Epoch [100/100], Step[16/526], Loss: 0.7126
Epoch [100/100], Step[17/526], Loss: 0.7183
Epoch [100/100], Step[18/526], Loss: 0.6486
Epoch [100/100], Step[19/526], Loss: 0.6926
Epoch [100/100], Step[20/526], Loss: 0.7464
Epoch [100/100], Step[21/526], Loss: 0.7724
Epoch [100/100], Step[22/526], Loss: 0.7479
Epoch [100/100], Step[23/526], Loss: 0.7402
Epoch [100/100], Step[24/526], Loss: 0.7260
Epoch [100/100], Step[25/526], Loss: 0.6939
Epoch [100/100], Step[26/526], Loss: 0.6179
Epoch [100/100], Step[27/526], Loss: 0.6757
Epoch [100/100], Step[28/526], Loss: 0.6948
Epoch [100/100], Step[29/526], Loss: 0.6420
Epoch [100/100], Step[30/526], Loss: 0.6959
Epoch [100/100], Step[31/526], Loss: 0.7099
Epoch [100/100], Step[32/526], Loss: 0.6670
Epoch [100/100], Step[33/526], Loss: 0.7174
Epoch [100/100], Step[34/526], Loss: 0.7022
Epoch [100/100], Step[35/526], Loss: 0.7284
Epoch [100/100], Step[36/526], Loss: 0.7082
Epoch [100/100], Step[37/526], Loss: 0.6912
Epoch [100/100], Step[38/526], Loss: 0.7185
Epoch [100/100], Step[39/526], Loss: 0.6826
Epoch [100/100], Step[40/526], Loss: 0.7039
Epoch [100/100], Step[41/526], Loss: 0.6640
Epoch [100/100], Step[42/526], Loss: 0.7286
Epoch [100/100], Step[43/526], Loss: 0.7146
Epoch [100/100], Step[44/526], Loss: 0.6920
Epoch [100/100], Step[45/526], Loss: 0.7000
Epoch [100/100], Step[46/526], Loss: 0.6822
Epoch [100/100], Step[47/526], Loss: 0.6929
Epoch [100/100], Step[48/526], Loss: 0.7212
Epoch [100/100], Step[49/526], Loss: 0.7026
Epoch [100/100], Step[50/526], Loss: 0.7021
Epoch [100/100], Step[51/526], Loss: 0.6998
Epoch [100/100], Step[52/526], Loss: 0.6785
Epoch [100/100], Step[53/526], Loss: 0.7186
Epoch [100/100], Step[54/526], Loss: 0.7018
Epoch [100/100], Step[55/526], Loss: 0.6969
Epoch [100/100], Step[56/526], Loss: 0.6807
Epoch [100/100], Step[57/526], Loss: 0.6860
Epoch [100/100], Step[58/526], Loss: 0.6706
Epoch [100/100], Step[59/526], Loss: 0.6598
Epoch [100/100], Step[60/526], Loss: 0.6591
Epoch [100/100], Step[61/526], Loss: 0.6554
Epoch [100/100], Step[62/526], Loss: 0.7056
Epoch [100/100], Step[63/526], Loss: 0.6840
Epoch [100/100], Step[64/526], Loss: 0.6752
Epoch [100/100], Step[65/526], Loss: 0.7225
Epoch [100/100], Step[66/526], Loss: 0.6801
Epoch [100/100], Step[67/526], Loss: 0.6363
Epoch [100/100], Step[68/526], Loss: 0.6545
Epoch [100/100], Step[69/526], Loss: 0.6881
Epoch [100/100], Step[70/526], Loss: 0.6763
Epoch [100/100], Step[71/526], Loss: 0.6639
Epoch [100/100], Step[72/526], Loss: 0.6865
Epoch [100/100], Step[73/526], Loss: 0.7163
Epoch [100/100], Step[74/526], Loss: 0.6555
Epoch [100/100], Step[75/526], Loss: 0.7049
Epoch [100/100], Step[76/526], Loss: 0.6926
Epoch [100/100], Step[77/526], Loss: 0.7033
Epoch [100/100], Step[78/526], Loss: 0.7033
Epoch [100/100], Step[79/526], Loss: 0.6965
Epoch [100/100], Step[80/526], Loss: 0.7013
Epoch [100/100], Step[81/526], Loss: 0.7028
Epoch [100/100], Step[82/526], Loss: 0.7285
Epoch [100/100], Step[83/526], Loss: 0.7022
Epoch [100/100], Step[84/526], Loss: 0.6813
Epoch [100/100], Step[85/526], Loss: 0.6619
Epoch [100/100], Step[86/526], Loss: 0.6818
Epoch [100/100], Step[87/526], Loss: 0.6871
Epoch [100/100], Step[88/526], Loss: 0.6919
Epoch [100/100], Step[89/526], Loss: 0.7280
Epoch [100/100], Step[90/526], Loss: 0.6736
Epoch [100/100], Step[91/526], Loss: 0.6849
Epoch [100/100], Step[92/526], Loss: 0.6756
Epoch [100/100], Step[93/526], Loss: 0.6946
Epoch [100/100], Step[94/526], Loss: 0.8086
Epoch [100/100], Step[95/526], Loss: 0.7237
Epoch [100/100], Step[96/526], Loss: 0.6199
Epoch [100/100], Step[97/526], Loss: 0.5802
Epoch [100/100], Step[98/526], Loss: 0.6836
Epoch [100/100], Step[99/526], Loss: 0.6891
Epoch [100/100], Step[100/526], Loss: 0.6456
Epoch [100/100], Step[101/526], Loss: 0.6630
Epoch [100/100], Step[102/526], Loss: 0.6302
Epoch [100/100], Step[103/526], Loss: 0.7233
Epoch [100/100], Step[104/526], Loss: 0.6543
Epoch [100/100], Step[105/526], Loss: 0.6164
Epoch [100/100], Step[106/526], Loss: 0.6839
Epoch [100/100], Step[107/526], Loss: 0.6106
Epoch [100/100], Step[108/526], Loss: 0.5827
Epoch [100/100], Step[109/526], Loss: 0.6505
Epoch [100/100], Step[110/526], Loss: 0.6822
Epoch [100/100], Step[111/526], Loss: 0.6073
Epoch [100/100], Step[112/526], Loss: 0.7243
Epoch [100/100], Step[113/526], Loss: 0.6086
Epoch [100/100], Step[114/526], Loss: 0.6504
Epoch [100/100], Step[115/526], Loss: 0.5932
Epoch [100/100], Step[116/526], Loss: 0.6321
Epoch [100/100], Step[117/526], Loss: 0.6939
Epoch [100/100], Step[118/526], Loss: 0.7612
Epoch [100/100], Step[119/526], Loss: 0.6813
Epoch [100/100], Step[120/526], Loss: 0.6678
Epoch [100/100], Step[121/526], Loss: 0.6882
Epoch [100/100], Step[122/526], Loss: 0.6114
Epoch [100/100], Step[123/526], Loss: 0.6552
Epoch [100/100], Step[124/526], Loss: 0.6675
Epoch [100/100], Step[125/526], Loss: 0.6362
Epoch [100/100], Step[126/526], Loss: 0.7146
Epoch [100/100], Step[127/526], Loss: 0.6689
Epoch [100/100], Step[128/526], Loss: 0.6239
Epoch [100/100], Step[129/526], Loss: 0.6161
Epoch [100/100], Step[130/526], Loss: 0.6375
Epoch [100/100], Step[131/526], Loss: 0.6739
Epoch [100/100], Step[132/526], Loss: 0.7165
Epoch [100/100], Step[133/526], Loss: 0.6731
Epoch [100/100], Step[134/526], Loss: 0.6293
Epoch [100/100], Step[135/526], Loss: 0.6407
Epoch [100/100], Step[136/526], Loss: 0.5573
Epoch [100/100], Step[137/526], Loss: 0.6505
Epoch [100/100], Step[138/526], Loss: 0.6607
Epoch [100/100], Step[139/526], Loss: 0.6918
Epoch [100/100], Step[140/526], Loss: 0.5842
Epoch [100/100], Step[141/526], Loss: 0.6597
Epoch [100/100], Step[142/526], Loss: 0.6707
Epoch [100/100], Step[143/526], Loss: 0.6943
Epoch [100/100], Step[144/526], Loss: 0.7776
Epoch [100/100], Step[145/526], Loss: 0.5228
Epoch [100/100], Step[146/526], Loss: 0.5085
Epoch [100/100], Step[147/526], Loss: 0.4778
Epoch [100/100], Step[148/526], Loss: 0.6002
Epoch [100/100], Step[149/526], Loss: 0.5125
Epoch [100/100], Step[150/526], Loss: 0.5480
Epoch [100/100], Step[151/526], Loss: 0.5453
Epoch [100/100], Step[152/526], Loss: 0.6283
Epoch [100/100], Step[153/526], Loss: 0.6474
Epoch [100/100], Step[154/526], Loss: 0.7028
Epoch [100/100], Step[155/526], Loss: 0.7161
Epoch [100/100], Step[156/526], Loss: 0.5413
Epoch [100/100], Step[157/526], Loss: 0.2795
Epoch [100/100], Step[158/526], Loss: 0.5831
Epoch [100/100], Step[159/526], Loss: 0.6600
Epoch [100/100], Step[160/526], Loss: 0.5577
Epoch [100/100], Step[161/526], Loss: 0.7882
Epoch [100/100], Step[162/526], Loss: 0.7086
Epoch [100/100], Step[163/526], Loss: 0.7200
Epoch [100/100], Step[164/526], Loss: 0.6230
Epoch [100/100], Step[165/526], Loss: 0.7296
Epoch [100/100], Step[166/526], Loss: 0.5267
Epoch [100/100], Step[167/526], Loss: 0.5650
Epoch [100/100], Step[168/526], Loss: 0.6947
Epoch [100/100], Step[169/526], Loss: 0.7458
Epoch [100/100], Step[170/526], Loss: 0.7050
Epoch [100/100], Step[171/526], Loss: 0.7375
Epoch [100/100], Step[172/526], Loss: 0.7108
Epoch [100/100], Step[173/526], Loss: 0.8131
Epoch [100/100], Step[174/526], Loss: 0.6273
Epoch [100/100], Step[175/526], Loss: 0.6719
Epoch [100/100], Step[176/526], Loss: 0.6090
Epoch [100/100], Step[177/526], Loss: 0.6648
Epoch [100/100], Step[178/526], Loss: 0.6881
Epoch [100/100], Step[179/526], Loss: 0.6184
Epoch [100/100], Step[180/526], Loss: 0.6782
Epoch [100/100], Step[181/526], Loss: 0.6506
Epoch [100/100], Step[182/526], Loss: 0.6673
Epoch [100/100], Step[183/526], Loss: 0.5430
Epoch [100/100], Step[184/526], Loss: 0.6099
Epoch [100/100], Step[185/526], Loss: 0.6093
Epoch [100/100], Step[186/526], Loss: 0.6365
Epoch [100/100], Step[187/526], Loss: 0.7550
Epoch [100/100], Step[188/526], Loss: 0.6895
Epoch [100/100], Step[189/526], Loss: 0.6622
Epoch [100/100], Step[190/526], Loss: 0.6928
Epoch [100/100], Step[191/526], Loss: 0.6877
Epoch [100/100], Step[192/526], Loss: 0.8168
Epoch [100/100], Step[193/526], Loss: 0.6513
Epoch [100/100], Step[194/526], Loss: 0.6099
Epoch [100/100], Step[195/526], Loss: 0.6519
Epoch [100/100], Step[196/526], Loss: 0.7344
Epoch [100/100], Step[197/526], Loss: 0.6836
Epoch [100/100], Step[198/526], Loss: 0.6335
Epoch [100/100], Step[199/526], Loss: 0.7502
Epoch [100/100], Step[200/526], Loss: 0.6856
Epoch [100/100], Step[201/526], Loss: 0.6735
Epoch [100/100], Step[202/526], Loss: 0.7315
Epoch [100/100], Step[203/526], Loss: 0.7067
Epoch [100/100], Step[204/526], Loss: 0.7073
Epoch [100/100], Step[205/526], Loss: 0.6886
Epoch [100/100], Step[206/526], Loss: 0.6843
Epoch [100/100], Step[207/526], Loss: 0.7120
Epoch [100/100], Step[208/526], Loss: 0.6777
Epoch [100/100], Step[209/526], Loss: 0.6787
Epoch [100/100], Step[210/526], Loss: 0.7522
Epoch [100/100], Step[211/526], Loss: 0.6264
Epoch [100/100], Step[212/526], Loss: 0.6861
Epoch [100/100], Step[213/526], Loss: 0.7209
Epoch [100/100], Step[214/526], Loss: 0.7248
Epoch [100/100], Step[215/526], Loss: 0.6933
Epoch [100/100], Step[216/526], Loss: 0.6750
Epoch [100/100], Step[217/526], Loss: 0.6566
Epoch [100/100], Step[218/526], Loss: 0.6988
Epoch [100/100], Step[219/526], Loss: 0.6970
Epoch [100/100], Step[220/526], Loss: 0.7167
Epoch [100/100], Step[221/526], Loss: 0.6957
Epoch [100/100], Step[222/526], Loss: 0.7302
Epoch [100/100], Step[223/526], Loss: 0.6478
Epoch [100/100], Step[224/526], Loss: 0.6561
Epoch [100/100], Step[225/526], Loss: 0.7141
Epoch [100/100], Step[226/526], Loss: 0.6683
Epoch [100/100], Step[227/526], Loss: 0.6592
Epoch [100/100], Step[228/526], Loss: 0.6633
Epoch [100/100], Step[229/526], Loss: 0.6898
Epoch [100/100], Step[230/526], Loss: 0.6544
Epoch [100/100], Step[231/526], Loss: 0.6645
Epoch [100/100], Step[232/526], Loss: 0.7008
Epoch [100/100], Step[233/526], Loss: 0.6772
Epoch [100/100], Step[234/526], Loss: 0.6416
Epoch [100/100], Step[235/526], Loss: 0.6945
Epoch [100/100], Step[236/526], Loss: 0.6783
Epoch [100/100], Step[237/526], Loss: 0.7072
Epoch [100/100], Step[238/526], Loss: 0.6398
Epoch [100/100], Step[239/526], Loss: 0.6189
Epoch [100/100], Step[240/526], Loss: 0.6740
Epoch [100/100], Step[241/526], Loss: 0.6646
Epoch [100/100], Step[242/526], Loss: 0.6548
Epoch [100/100], Step[243/526], Loss: 0.5850
Epoch [100/100], Step[244/526], Loss: 0.5522
Epoch [100/100], Step[245/526], Loss: 0.5812
Epoch [100/100], Step[246/526], Loss: 0.6342
Epoch [100/100], Step[247/526], Loss: 0.5152
Epoch [100/100], Step[248/526], Loss: 0.5789
Epoch [100/100], Step[249/526], Loss: 0.7771
Epoch [100/100], Step[250/526], Loss: 0.7789
Epoch [100/100], Step[251/526], Loss: 0.6864
Epoch [100/100], Step[252/526], Loss: 0.6793
Epoch [100/100], Step[253/526], Loss: 0.5976
Epoch [100/100], Step[254/526], Loss: 0.6900
Epoch [100/100], Step[255/526], Loss: 0.5661
Epoch [100/100], Step[256/526], Loss: 0.6567
Epoch [100/100], Step[257/526], Loss: 0.5199
Epoch [100/100], Step[258/526], Loss: 0.5987
Epoch [100/100], Step[259/526], Loss: 0.7039
Epoch [100/100], Step[260/526], Loss: 0.6743
Epoch [100/100], Step[261/526], Loss: 0.7810
Epoch [100/100], Step[262/526], Loss: 0.5737
Epoch [100/100], Step[263/526], Loss: 0.6219
Epoch [100/100], Step[264/526], Loss: 0.6049
Epoch [100/100], Step[265/526], Loss: 0.3225
Epoch [100/100], Step[266/526], Loss: 0.3176
Epoch [100/100], Step[267/526], Loss: 0.4944
Epoch [100/100], Step[268/526], Loss: 0.5612
Epoch [100/100], Step[269/526], Loss: 0.4788
Epoch [100/100], Step[270/526], Loss: 0.4114
Epoch [100/100], Step[271/526], Loss: 0.5633
Epoch [100/100], Step[272/526], Loss: 0.5608
Epoch [100/100], Step[273/526], Loss: 0.6512
Epoch [100/100], Step[274/526], Loss: 0.4561
Epoch [100/100], Step[275/526], Loss: 0.4155
Epoch [100/100], Step[276/526], Loss: 0.4849
Epoch [100/100], Step[277/526], Loss: 0.4014
Epoch [100/100], Step[278/526], Loss: 0.4914
Epoch [100/100], Step[279/526], Loss: 0.4615
Epoch [100/100], Step[280/526], Loss: 0.5229
Epoch [100/100], Step[281/526], Loss: 0.6886
Epoch [100/100], Step[282/526], Loss: 0.4332
Epoch [100/100], Step[283/526], Loss: 0.3713
Epoch [100/100], Step[284/526], Loss: 0.4656
Epoch [100/100], Step[285/526], Loss: 0.3027
Epoch [100/100], Step[286/526], Loss: 0.7147
Epoch [100/100], Step[287/526], Loss: 0.5154
Epoch [100/100], Step[288/526], Loss: 0.4154
Epoch [100/100], Step[289/526], Loss: 0.5980
Epoch [100/100], Step[290/526], Loss: 0.4552
Epoch [100/100], Step[291/526], Loss: 0.4641
Epoch [100/100], Step[292/526], Loss: 0.3108
Epoch [100/100], Step[293/526], Loss: 0.3210
Epoch [100/100], Step[294/526], Loss: 0.3598
Epoch [100/100], Step[295/526], Loss: 0.4697
Epoch [100/100], Step[296/526], Loss: 0.6018
Epoch [100/100], Step[297/526], Loss: 0.3627
Epoch [100/100], Step[298/526], Loss: 0.3200
Epoch [100/100], Step[299/526], Loss: 0.2622
Epoch [100/100], Step[300/526], Loss: 0.2724
Epoch [100/100], Step[301/526], Loss: 0.6448
Epoch [100/100], Step[302/526], Loss: 0.4022
Epoch [100/100], Step[303/526], Loss: 0.4284
Epoch [100/100], Step[304/526], Loss: 0.2631
Epoch [100/100], Step[305/526], Loss: 0.2827
Epoch [100/100], Step[306/526], Loss: 0.5644
Epoch [100/100], Step[307/526], Loss: 0.8792
Epoch [100/100], Step[308/526], Loss: 1.2954
Epoch [100/100], Step[309/526], Loss: 0.9143
Epoch [100/100], Step[310/526], Loss: 0.8887
Epoch [100/100], Step[311/526], Loss: 0.7929
Epoch [100/100], Step[312/526], Loss: 0.4731
Epoch [100/100], Step[313/526], Loss: 0.4524
Epoch [100/100], Step[314/526], Loss: 0.6082
Epoch [100/100], Step[315/526], Loss: 0.7511
Epoch [100/100], Step[316/526], Loss: 0.4925
Epoch [100/100], Step[317/526], Loss: 0.3315
Epoch [100/100], Step[318/526], Loss: 0.7797
Epoch [100/100], Step[319/526], Loss: 0.3653
Epoch [100/100], Step[320/526], Loss: 0.6407
Epoch [100/100], Step[321/526], Loss: 0.7472
Epoch [100/100], Step[322/526], Loss: 0.2808
Epoch [100/100], Step[323/526], Loss: 0.6166
Epoch [100/100], Step[324/526], Loss: 0.6710
Epoch [100/100], Step[325/526], Loss: 0.5831
Epoch [100/100], Step[326/526], Loss: 0.7513
Epoch [100/100], Step[327/526], Loss: 0.7196
Epoch [100/100], Step[328/526], Loss: 0.9402
Epoch [100/100], Step[329/526], Loss: 1.3075
Epoch [100/100], Step[330/526], Loss: 1.0699
Epoch [100/100], Step[331/526], Loss: 0.7744
Epoch [100/100], Step[332/526], Loss: 0.8475
Epoch [100/100], Step[333/526], Loss: 0.7498
Epoch [100/100], Step[334/526], Loss: 0.7546
Epoch [100/100], Step[335/526], Loss: 0.7659
Epoch [100/100], Step[336/526], Loss: 0.6708
Epoch [100/100], Step[337/526], Loss: 0.5827
Epoch [100/100], Step[338/526], Loss: 0.7084
Epoch [100/100], Step[339/526], Loss: 0.6595
Epoch [100/100], Step[340/526], Loss: 0.7209
Epoch [100/100], Step[341/526], Loss: 0.7665
Epoch [100/100], Step[342/526], Loss: 0.7709
Epoch [100/100], Step[343/526], Loss: 0.5341
Epoch [100/100], Step[344/526], Loss: 0.7109
Epoch [100/100], Step[345/526], Loss: 0.6742
Epoch [100/100], Step[346/526], Loss: 0.6738
Epoch [100/100], Step[347/526], Loss: 0.7185
Epoch [100/100], Step[348/526], Loss: 0.6346
Epoch [100/100], Step[349/526], Loss: 0.5607
Epoch [100/100], Step[350/526], Loss: 0.6488
Epoch [100/100], Step[351/526], Loss: 0.6991
Epoch [100/100], Step[352/526], Loss: 0.6126
Epoch [100/100], Step[353/526], Loss: 0.6740
Epoch [100/100], Step[354/526], Loss: 0.6764
Epoch [100/100], Step[355/526], Loss: 0.6649
Epoch [100/100], Step[356/526], Loss: 0.6923
Epoch [100/100], Step[357/526], Loss: 0.6423
Epoch [100/100], Step[358/526], Loss: 0.7106
Epoch [100/100], Step[359/526], Loss: 0.6388
Epoch [100/100], Step[360/526], Loss: 0.6750
Epoch [100/100], Step[361/526], Loss: 0.7194
Epoch [100/100], Step[362/526], Loss: 0.6936
Epoch [100/100], Step[363/526], Loss: 0.7004
Epoch [100/100], Step[364/526], Loss: 0.7282
Epoch [100/100], Step[365/526], Loss: 0.7319
Epoch [100/100], Step[366/526], Loss: 0.7019
Epoch [100/100], Step[367/526], Loss: 0.6780
Epoch [100/100], Step[368/526], Loss: 0.6563
Epoch [100/100], Step[369/526], Loss: 0.6445
Epoch [100/100], Step[370/526], Loss: 0.8589
Epoch [100/100], Step[371/526], Loss: 0.7481
Epoch [100/100], Step[372/526], Loss: 0.6405
Epoch [100/100], Step[373/526], Loss: 0.6755
Epoch [100/100], Step[374/526], Loss: 0.7020
Epoch [100/100], Step[375/526], Loss: 0.6346
Epoch [100/100], Step[376/526], Loss: 0.6299
Epoch [100/100], Step[377/526], Loss: 0.6844
Epoch [100/100], Step[378/526], Loss: 0.6794
Epoch [100/100], Step[379/526], Loss: 0.7820
Epoch [100/100], Step[380/526], Loss: 0.5985
Epoch [100/100], Step[381/526], Loss: 0.5823
Epoch [100/100], Step[382/526], Loss: 0.6668
Epoch [100/100], Step[383/526], Loss: 0.6917
Epoch [100/100], Step[384/526], Loss: 0.6360
Epoch [100/100], Step[385/526], Loss: 0.6259
Epoch [100/100], Step[386/526], Loss: 0.6351
Epoch [100/100], Step[387/526], Loss: 0.6527
Epoch [100/100], Step[388/526], Loss: 0.5852
Epoch [100/100], Step[389/526], Loss: 0.7324
Epoch [100/100], Step[390/526], Loss: 0.5635
Epoch [100/100], Step[391/526], Loss: 0.6294
Epoch [100/100], Step[392/526], Loss: 0.7214
Epoch [100/100], Step[393/526], Loss: 0.5808
Epoch [100/100], Step[394/526], Loss: 0.5066
Epoch [100/100], Step[395/526], Loss: 0.5797
Epoch [100/100], Step[396/526], Loss: 0.6324
Epoch [100/100], Step[397/526], Loss: 0.4721
Epoch [100/100], Step[398/526], Loss: 0.6115
Epoch [100/100], Step[399/526], Loss: 0.6676
Epoch [100/100], Step[400/526], Loss: 0.4686
Epoch [100/100], Step[401/526], Loss: 0.6092
Epoch [100/100], Step[402/526], Loss: 0.6395
Epoch [100/100], Step[403/526], Loss: 0.7368
Epoch [100/100], Step[404/526], Loss: 0.4737
Epoch [100/100], Step[405/526], Loss: 0.4953
Epoch [100/100], Step[406/526], Loss: 0.6315
Epoch [100/100], Step[407/526], Loss: 0.7576
Epoch [100/100], Step[408/526], Loss: 0.6579
Epoch [100/100], Step[409/526], Loss: 0.4758
Epoch [100/100], Step[410/526], Loss: 0.5034
Epoch [100/100], Step[411/526], Loss: 0.5348
Epoch [100/100], Step[412/526], Loss: 0.5990
Epoch [100/100], Step[413/526], Loss: 0.6076
Epoch [100/100], Step[414/526], Loss: 0.6464
Epoch [100/100], Step[415/526], Loss: 0.6035
Epoch [100/100], Step[416/526], Loss: 0.5842
Epoch [100/100], Step[417/526], Loss: 0.4736
Epoch [100/100], Step[418/526], Loss: 0.7629
Epoch [100/100], Step[419/526], Loss: 0.6723
Epoch [100/100], Step[420/526], Loss: 0.6762
Epoch [100/100], Step[421/526], Loss: 0.6606
Epoch [100/100], Step[422/526], Loss: 0.7509
Epoch [100/100], Step[423/526], Loss: 0.7013
Epoch [100/100], Step[424/526], Loss: 0.7459
Epoch [100/100], Step[425/526], Loss: 0.7077
Epoch [100/100], Step[426/526], Loss: 0.7514
Epoch [100/100], Step[427/526], Loss: 0.7057
Epoch [100/100], Step[428/526], Loss: 0.7081
Epoch [100/100], Step[429/526], Loss: 0.7370
Epoch [100/100], Step[430/526], Loss: 0.7716
Epoch [100/100], Step[431/526], Loss: 0.7049
Epoch [100/100], Step[432/526], Loss: 0.7198
Epoch [100/100], Step[433/526], Loss: 0.6752
Epoch [100/100], Step[434/526], Loss: 0.6026
Epoch [100/100], Step[435/526], Loss: 0.7669
Epoch [100/100], Step[436/526], Loss: 0.8029
Epoch [100/100], Step[437/526], Loss: 0.4900
Epoch [100/100], Step[438/526], Loss: 0.3701
Epoch [100/100], Step[439/526], Loss: 0.7143
Epoch [100/100], Step[440/526], Loss: 0.6862
Epoch [100/100], Step[441/526], Loss: 0.6933
Epoch [100/100], Step[442/526], Loss: 0.6517
Epoch [100/100], Step[443/526], Loss: 0.6654
Epoch [100/100], Step[444/526], Loss: 0.7564
Epoch [100/100], Step[445/526], Loss: 0.7147
Epoch [100/100], Step[446/526], Loss: 0.6964
Epoch [100/100], Step[447/526], Loss: 0.7308
Epoch [100/100], Step[448/526], Loss: 0.7226
Epoch [100/100], Step[449/526], Loss: 0.6675
Epoch [100/100], Step[450/526], Loss: 0.5956
Epoch [100/100], Step[451/526], Loss: 0.6768
Epoch [100/100], Step[452/526], Loss: 0.7289
Epoch [100/100], Step[453/526], Loss: 0.7011
Epoch [100/100], Step[454/526], Loss: 0.8361
Epoch [100/100], Step[455/526], Loss: 0.6236
Epoch [100/100], Step[456/526], Loss: 0.6436
Epoch [100/100], Step[457/526], Loss: 0.7097
Epoch [100/100], Step[458/526], Loss: 0.6754
Epoch [100/100], Step[459/526], Loss: 0.6357
Epoch [100/100], Step[460/526], Loss: 0.6209
Epoch [100/100], Step[461/526], Loss: 0.5923
Epoch [100/100], Step[462/526], Loss: 0.6464
Epoch [100/100], Step[463/526], Loss: 0.6390
Epoch [100/100], Step[464/526], Loss: 0.6130
Epoch [100/100], Step[465/526], Loss: 0.6464
Epoch [100/100], Step[466/526], Loss: 0.6693
Epoch [100/100], Step[467/526], Loss: 0.6340
Epoch [100/100], Step[468/526], Loss: 0.5883
Epoch [100/100], Step[469/526], Loss: 0.8462
Epoch [100/100], Step[470/526], Loss: 0.6674
Epoch [100/100], Step[471/526], Loss: 0.7011
Epoch [100/100], Step[472/526], Loss: 0.6807
Epoch [100/100], Step[473/526], Loss: 0.6795
Epoch [100/100], Step[474/526], Loss: 0.6728
Epoch [100/100], Step[475/526], Loss: 0.8521
Epoch [100/100], Step[476/526], Loss: 0.7364
Epoch [100/100], Step[477/526], Loss: 0.6842
Epoch [100/100], Step[478/526], Loss: 0.6878
Epoch [100/100], Step[479/526], Loss: 0.6574
Epoch [100/100], Step[480/526], Loss: 0.7254
Epoch [100/100], Step[481/526], Loss: 0.7423
Epoch [100/100], Step[482/526], Loss: 0.6479
Epoch [100/100], Step[483/526], Loss: 0.5381
Epoch [100/100], Step[484/526], Loss: 0.7241
Epoch [100/100], Step[485/526], Loss: 0.7807
Epoch [100/100], Step[486/526], Loss: 0.7427
Epoch [100/100], Step[487/526], Loss: 0.7695
Epoch [100/100], Step[488/526], Loss: 0.6569
Epoch [100/100], Step[489/526], Loss: 0.6144
Epoch [100/100], Step[490/526], Loss: 0.5941
Epoch [100/100], Step[491/526], Loss: 0.6807
Epoch [100/100], Step[492/526], Loss: 0.6357
Epoch [100/100], Step[493/526], Loss: 0.6284
Epoch [100/100], Step[494/526], Loss: 0.6768
Epoch [100/100], Step[495/526], Loss: 0.6931
Epoch [100/100], Step[496/526], Loss: 0.6532
Epoch [100/100], Step[497/526], Loss: 0.6275
Epoch [100/100], Step[498/526], Loss: 0.6729
Epoch [100/100], Step[499/526], Loss: 0.6620
Epoch [100/100], Step[500/526], Loss: 0.7030
Epoch [100/100], Step[501/526], Loss: 0.6631
Epoch [100/100], Step[502/526], Loss: 0.6991
Epoch [100/100], Step[503/526], Loss: 0.7118
Epoch [100/100], Step[504/526], Loss: 0.7070
Epoch [100/100], Step[505/526], Loss: 0.7238
Epoch [100/100], Step[506/526], Loss: 0.6565
Epoch [100/100], Step[507/526], Loss: 0.6749
Epoch [100/100], Step[508/526], Loss: 0.6989
Epoch [100/100], Step[509/526], Loss: 0.6348
Epoch [100/100], Step[510/526], Loss: 0.7031
Epoch [100/100], Step[511/526], Loss: 0.6311
Epoch [100/100], Step[512/526], Loss: 0.6621
Epoch [100/100], Step[513/526], Loss: 0.6343
Epoch [100/100], Step[514/526], Loss: 0.6547
Epoch [100/100], Step[515/526], Loss: 0.5681
Epoch [100/100], Step[516/526], Loss: 0.7573
Epoch [100/100], Step[517/526], Loss: 0.6889
Epoch [100/100], Step[518/526], Loss: 0.7394
Epoch [100/100], Step[519/526], Loss: 0.7224
Epoch [100/100], Step[520/526], Loss: 0.6827
Epoch [100/100], Step[521/526], Loss: 0.6857
Epoch [100/100], Step[522/526], Loss: 0.5829
Epoch [100/100], Step[523/526], Loss: 0.6410
Epoch [100/100], Step[524/526], Loss: 0.6161
Epoch [100/100], Step[525/526], Loss: 0.7641
Epoch [100/100], Step[526/526], Loss: 0.7216