JustPaste.it

File: 2 Train Epoch: 0 [6400/21000 (30%)] Loss: 1.742058
File: 2 Train Epoch: 0 [12800/21000 (61%)] Loss: 1.281832
File: 2 Train Epoch: 0 [19200/21000 (91%)] Loss: 1.383480
Training data:

Average loss: 5.1166, Accuracy: 3167/21000 (15.000%)

Test data:

Average loss: 16.2337, Accuracy: 2615/23000 (11.000%)

File: 3 Train Epoch: 0 [6400/22000 (29%)] Loss: 1.442135
File: 3 Train Epoch: 0 [12800/22000 (58%)] Loss: 1.347646
File: 3 Train Epoch: 0 [19200/22000 (87%)] Loss: 1.351154
Training data:

Average loss: 0.9947, Accuracy: 13943/22000 (63.000%)

Test data:

Average loss: 10.8478, Accuracy: 3105/23000 (13.000%)

File: 4 Train Epoch: 0 [6400/23000 (28%)] Loss: 0.950436
File: 4 Train Epoch: 0 [12800/23000 (56%)] Loss: 1.179927
File: 4 Train Epoch: 0 [19200/23000 (83%)] Loss: 1.454279
Training data:

Average loss: 0.7225, Accuracy: 16593/23000 (72.000%)

Test data:

Average loss: 10.8875, Accuracy: 3934/23000 (17.000%)

File: 5 Train Epoch: 0 [6400/23000 (28%)] Loss: 1.239339
File: 5 Train Epoch: 0 [12800/23000 (56%)] Loss: 0.991705
File: 5 Train Epoch: 0 [19200/23000 (83%)] Loss: 1.427785
Training data:

Average loss: 4.2567, Accuracy: 5271/23000 (22.000%)

Test data:

Average loss: 11.5896, Accuracy: 3012/23000 (13.000%)

File: 6 Train Epoch: 0 [6400/23000 (28%)] Loss: 0.877365
File: 6 Train Epoch: 0 [12800/23000 (56%)] Loss: 0.806151
File: 6 Train Epoch: 0 [19200/23000 (83%)] Loss: 1.073587
Training data:

Average loss: 1.4261, Accuracy: 12944/23000 (56.000%)

Test data:

Average loss: 15.1426, Accuracy: 2362/23000 (10.000%)

File: 7 Train Epoch: 0 [6400/23000 (28%)] Loss: 1.090099
File: 7 Train Epoch: 0 [12800/23000 (56%)] Loss: 0.905530
File: 7 Train Epoch: 0 [19200/23000 (83%)] Loss: 1.080505
Training data:

Average loss: 0.8433, Accuracy: 16123/23000 (70.000%)

Test data:

Average loss: 24.8998, Accuracy: 2656/23000 (11.000%)

File: 8 Train Epoch: 0 [6400/22000 (29%)] Loss: 0.996092
File: 8 Train Epoch: 0 [12800/22000 (58%)] Loss: 0.671016
File: 8 Train Epoch: 0 [19200/22000 (87%)] Loss: 0.923321
Training data:

Average loss: 4.6924, Accuracy: 6096/22000 (27.000%)

Test data:

Average loss: 28.8125, Accuracy: 2176/23000 (9.000%)

File: 9 Train Epoch: 0 [6400/20000 (32%)] Loss: 0.625554
File: 9 Train Epoch: 0 [12800/20000 (64%)] Loss: 0.978830
File: 9 Train Epoch: 0 [19200/20000 (96%)] Loss: 0.844146
Training data:

Average loss: 0.7422, Accuracy: 14519/20000 (72.000%)

Test data:

Average loss: 21.7088, Accuracy: 2918/23000 (12.000%)

File: 10 Train Epoch: 0 [6400/23000 (28%)] Loss: 1.087024
File: 10 Train Epoch: 0 [12800/23000 (56%)] Loss: 1.089915
File: 10 Train Epoch: 0 [19200/23000 (83%)] Loss: 0.923373
Training data:

Average loss: 0.8193, Accuracy: 15792/23000 (68.000%)

Test data:

Average loss: 17.6464, Accuracy: 3397/23000 (14.000%)

File: 11 Train Epoch: 0 [6400/21000 (30%)] Loss: 0.984130
File: 11 Train Epoch: 0 [12800/21000 (61%)] Loss: 0.884457
File: 11 Train Epoch: 0 [19200/21000 (91%)] Loss: 1.050964
Training data:

Average loss: 0.7200, Accuracy: 15672/21000 (74.000%)

Test data:

Average loss: 20.1278, Accuracy: 3298/23000 (14.000%)

File: 12 Train Epoch: 0 [6400/23000 (28%)] Loss: 1.069366
File: 12 Train Epoch: 0 [12800/23000 (56%)] Loss: 0.840190
File: 12 Train Epoch: 0 [19200/23000 (83%)] Loss: 0.761389
Training data:

Average loss: 0.7096, Accuracy: 16747/23000 (72.000%)

Test data:

Average loss: 27.4864, Accuracy: 3079/23000 (13.000%)

File: 13 Train Epoch: 0 [6400/23000 (28%)] Loss: 0.788917
File: 13 Train Epoch: 0 [12800/23000 (56%)] Loss: 0.792292
File: 13 Train Epoch: 0 [19200/23000 (83%)] Loss: 1.078992
Training data:

Average loss: 0.6212, Accuracy: 17739/23000 (77.000%)

Test data:

Average loss: 19.7233, Accuracy: 3369/23000 (14.000%)

File: 14 Train Epoch: 0 [6400/23000 (28%)] Loss: 1.197343
File: 14 Train Epoch: 0 [12800/23000 (56%)] Loss: 0.881081
File: 14 Train Epoch: 0 [19200/23000 (83%)] Loss: 0.729281
Training data:

Average loss: 0.6390, Accuracy: 17652/23000 (76.000%)

Test data:

Average loss: 3.4308, Accuracy: 8499/23000 (36.000%)

File: 15 Train Epoch: 0 [6400/23000 (28%)] Loss: 0.868528
File: 15 Train Epoch: 0 [12800/23000 (56%)] Loss: 0.893078
File: 15 Train Epoch: 0 [19200/23000 (83%)] Loss: 0.926277
Training data:

Average loss: 0.7550, Accuracy: 16135/23000 (70.000%)

Test data:

Average loss: 20.5583, Accuracy: 3724/23000 (16.000%)

File: 16 Train Epoch: 0 [6400/20000 (32%)] Loss: 0.946192
File: 16 Train Epoch: 0 [12800/20000 (64%)] Loss: 0.923818
File: 16 Train Epoch: 0 [19200/20000 (96%)] Loss: 0.706745
Training data:

Average loss: 0.8582, Accuracy: 13605/20000 (68.000%)

Test data:

Average loss: 27.1289, Accuracy: 3124/23000 (13.000%)

File: 17 Train Epoch: 0 [6400/20000 (32%)] Loss: 1.022053
File: 17 Train Epoch: 0 [12800/20000 (64%)] Loss: 0.708649
File: 17 Train Epoch: 0 [19200/20000 (96%)] Loss: 1.258289
Training data:

Average loss: 0.7177, Accuracy: 14575/20000 (72.000%)

Test data:

Average loss: 22.9035, Accuracy: 3246/23000 (14.000%)

File: 18 Train Epoch: 0 [6400/23000 (28%)] Loss: 0.966725
File: 18 Train Epoch: 0 [12800/23000 (56%)] Loss: 1.049800
File: 18 Train Epoch: 0 [19200/23000 (83%)] Loss: 0.961095
Training data:

Average loss: 0.8759, Accuracy: 15708/23000 (68.000%)

Test data:

Average loss: 7.8621, Accuracy: 4604/23000 (20.000%)

File: 19 Train Epoch: 0 [6400/21000 (30%)] Loss: 0.982861
File: 19 Train Epoch: 0 [12800/21000 (61%)] Loss: 1.109113
File: 19 Train Epoch: 0 [19200/21000 (91%)] Loss: 0.941997
Training data:

Average loss: 0.8416, Accuracy: 14462/21000 (68.000%)

Test data:

Average loss: 29.9580, Accuracy: 2792/23000 (12.000%)

File: 20 Train Epoch: 0 [6400/21965 (29%)] Loss: 1.301604
File: 20 Train Epoch: 0 [12800/21965 (58%)] Loss: 1.304923
File: 20 Train Epoch: 0 [19200/21965 (87%)] Loss: 1.121036
Training data:

Average loss: 1.1386, Accuracy: 13292/21965 (60.000%)

Test data:

Average loss: 16.7297, Accuracy: 3109/23000 (13.000%)

File: 2 Train Epoch: 1 [6400/21000 (30%)] Loss: 1.162418
File: 2 Train Epoch: 1 [12800/21000 (61%)] Loss: 0.889735
File: 2 Train Epoch: 1 [19200/21000 (91%)] Loss: 1.135033
Training data:

Average loss: 0.8184, Accuracy: 14993/21000 (71.000%)

Test data:

Average loss: 17.5412, Accuracy: 3122/23000 (13.000%)

File: 3 Train Epoch: 1 [6400/22000 (29%)] Loss: 1.055089
File: 3 Train Epoch: 1 [12800/22000 (58%)] Loss: 1.123029
File: 3 Train Epoch: 1 [19200/22000 (87%)] Loss: 1.283633
Training data:

Average loss: 0.9044, Accuracy: 14507/22000 (65.000%)

Test data:

Average loss: 23.5906, Accuracy: 3172/23000 (13.000%)

File: 4 Train Epoch: 1 [6400/23000 (28%)] Loss: 1.022481
File: 4 Train Epoch: 1 [12800/23000 (56%)] Loss: 1.298660
File: 4 Train Epoch: 1 [19200/23000 (83%)] Loss: 0.795670
Training data:

Average loss: 0.8562, Accuracy: 15942/23000 (69.000%)

Test data:

Average loss: 7.0733, Accuracy: 4470/23000 (19.000%)

File: 5 Train Epoch: 1 [6400/23000 (28%)] Loss: 1.248767
File: 5 Train Epoch: 1 [12800/23000 (56%)] Loss: 0.916801
File: 5 Train Epoch: 1 [19200/23000 (83%)] Loss: 1.131789
Training data:

Average loss: 0.8252, Accuracy: 16062/23000 (69.000%)

Test data:

Average loss: 23.1548, Accuracy: 2810/23000 (12.000%)

File: 6 Train Epoch: 1 [6400/23000 (28%)] Loss: 0.806917
File: 6 Train Epoch: 1 [12800/23000 (56%)] Loss: 0.787778
File: 6 Train Epoch: 1 [19200/23000 (83%)] Loss: 0.812545
Training data:

Average loss: 0.6216, Accuracy: 17983/23000 (78.000%)

Test data:

Average loss: 20.3142, Accuracy: 3054/23000 (13.000%)

File: 7 Train Epoch: 1 [6400/23000 (28%)] Loss: 0.982277
File: 7 Train Epoch: 1 [12800/23000 (56%)] Loss: 1.548466
File: 7 Train Epoch: 1 [19200/23000 (83%)] Loss: 1.056393
Training data:

Average loss: 0.7662, Accuracy: 16301/23000 (70.000%)

Test data:

Average loss: 25.2139, Accuracy: 2914/23000 (12.000%)

File: 8 Train Epoch: 1 [6400/22000 (29%)] Loss: 1.144254
File: 8 Train Epoch: 1 [12800/22000 (58%)] Loss: 1.127276
File: 8 Train Epoch: 1 [19200/22000 (87%)] Loss: 0.960239
Training data:

Average loss: 0.8972, Accuracy: 14900/22000 (67.000%)

Test data:

Average loss: 28.3726, Accuracy: 3039/23000 (13.000%)

File: 9 Train Epoch: 1 [6400/20000 (32%)] Loss: 1.540456
File: 9 Train Epoch: 1 [12800/20000 (64%)] Loss: 0.817695
File: 9 Train Epoch: 1 [19200/20000 (96%)] Loss: 1.109869
Training data:

Average loss: 0.8971, Accuracy: 13405/20000 (67.000%)

Test data:

Average loss: 22.2493, Accuracy: 3040/23000 (13.000%)

File: 10 Train Epoch: 1 [6400/23000 (28%)] Loss: 0.905909
File: 10 Train Epoch: 1 [12800/23000 (56%)] Loss: 1.384561
File: 10 Train Epoch: 1 [19200/23000 (83%)] Loss: 1.105266
Training data:

Average loss: 1.0265, Accuracy: 14511/23000 (63.000%)

Test data:

Average loss: 20.5190, Accuracy: 2944/23000 (12.000%)

File: 11 Train Epoch: 1 [6400/21000 (30%)] Loss: 2.066830
File: 11 Train Epoch: 1 [12800/21000 (61%)] Loss: 1.400587
File: 11 Train Epoch: 1 [19200/21000 (91%)] Loss: 1.390478
Training data:

Average loss: 1.0942, Accuracy: 12913/21000 (61.000%)

Test data:

Average loss: 13.7728, Accuracy: 3387/23000 (14.000%)

File: 12 Train Epoch: 1 [6400/23000 (28%)] Loss: 1.232913
File: 12 Train Epoch: 1 [12800/23000 (56%)] Loss: 1.320635
File: 12 Train Epoch: 1 [19200/23000 (83%)] Loss: 0.885038
Training data:

Average loss: 1.0302, Accuracy: 14552/23000 (63.000%)

Test data:

Average loss: 23.1461, Accuracy: 2906/23000 (12.000%)

File: 13 Train Epoch: 1 [6400/23000 (28%)] Loss: 1.231401
File: 13 Train Epoch: 1 [12800/23000 (56%)] Loss: 1.237891
File: 13 Train Epoch: 1 [19200/23000 (83%)] Loss: 0.969571
Training data:

Average loss: 0.7878, Accuracy: 16354/23000 (71.000%)

Test data:

Average loss: 18.2231, Accuracy: 3217/23000 (13.000%)

File: 14 Train Epoch: 1 [6400/23000 (28%)] Loss: 1.326200
File: 14 Train Epoch: 1 [12800/23000 (56%)] Loss: 1.273464
File: 14 Train Epoch: 1 [19200/23000 (83%)] Loss: 1.384650
Training data:

Average loss: 1.1372, Accuracy: 13687/23000 (59.000%)

Test data:

Average loss: 1.9760, Accuracy: 9893/23000 (43.000%)

File: 15 Train Epoch: 1 [6400/23000 (28%)] Loss: 1.054296
File: 15 Train Epoch: 1 [12800/23000 (56%)] Loss: 1.030585
File: 15 Train Epoch: 1 [19200/23000 (83%)] Loss: 1.258465
Training data:

Average loss: 0.9333, Accuracy: 14993/23000 (65.000%)

Test data:

Average loss: 19.4151, Accuracy: 3354/23000 (14.000%)

File: 16 Train Epoch: 1 [6400/20000 (32%)] Loss: 1.069790
File: 16 Train Epoch: 1 [12800/20000 (64%)] Loss: 0.954973
File: 16 Train Epoch: 1 [19200/20000 (96%)] Loss: 1.013266
Training data:

Average loss: 0.8607, Accuracy: 13703/20000 (68.000%)

Test data:

Average loss: 23.0799, Accuracy: 3012/23000 (13.000%)

File: 17 Train Epoch: 1 [6400/20000 (32%)] Loss: 0.990830
File: 17 Train Epoch: 1 [12800/20000 (64%)] Loss: 0.925980
File: 17 Train Epoch: 1 [19200/20000 (96%)] Loss: 0.793535
Training data:

Average loss: 0.7878, Accuracy: 14153/20000 (70.000%)

Test data:

Average loss: 19.4444, Accuracy: 3049/23000 (13.000%)

File: 18 Train Epoch: 1 [6400/23000 (28%)] Loss: 1.156558
File: 18 Train Epoch: 1 [12800/23000 (56%)] Loss: 1.102747
File: 18 Train Epoch: 1 [19200/23000 (83%)] Loss: 1.044851
Training data:

Average loss: 1.0206, Accuracy: 14889/23000 (64.000%)

Test data:

Average loss: 4.9733, Accuracy: 5109/23000 (22.000%)

File: 19 Train Epoch: 1 [6400/21000 (30%)] Loss: 1.112890
File: 19 Train Epoch: 1 [12800/21000 (61%)] Loss: 1.029611
File: 19 Train Epoch: 1 [19200/21000 (91%)] Loss: 1.142825
Training data:

Average loss: 0.8790, Accuracy: 14251/21000 (67.000%)

Test data:

Average loss: 16.7551, Accuracy: 3159/23000 (13.000%)

File: 20 Train Epoch: 1 [6400/21965 (29%)] Loss: 1.543040
File: 20 Train Epoch: 1 [12800/21965 (58%)] Loss: 1.441063
File: 20 Train Epoch: 1 [19200/21965 (87%)] Loss: 1.739193
Training data:

Average loss: 1.2320, Accuracy: 12707/21965 (57.000%)

Test data:

Average loss: 17.9723, Accuracy: 2949/23000 (12.000%)

File: 2 Train Epoch: 2 [6400/21000 (30%)] Loss: 1.117268
File: 2 Train Epoch: 2 [12800/21000 (61%)] Loss: 1.065410
File: 2 Train Epoch: 2 [19200/21000 (91%)] Loss: 1.062336
Training data:

Average loss: 1.0635, Accuracy: 13145/21000 (62.000%)

Test data:

Average loss: 12.5551, Accuracy: 3514/23000 (15.000%)

File: 3 Train Epoch: 2 [6400/22000 (29%)] Loss: 1.057147
File: 3 Train Epoch: 2 [12800/22000 (58%)] Loss: 1.461385
File: 3 Train Epoch: 2 [19200/22000 (87%)] Loss: 1.060036
Training data:

Average loss: 1.0494, Accuracy: 13738/22000 (62.000%)

Test data:

Average loss: 20.9036, Accuracy: 3166/23000 (13.000%)

File: 4 Train Epoch: 2 [6400/23000 (28%)] Loss: 1.352911
File: 4 Train Epoch: 2 [12800/23000 (56%)] Loss: 1.075112
File: 4 Train Epoch: 2 [19200/23000 (83%)] Loss: 0.942269
Training data:

Average loss: 0.9151, Accuracy: 15715/23000 (68.000%)

Test data:

Average loss: 5.1388, Accuracy: 4458/23000 (19.000%)

File: 5 Train Epoch: 2 [6400/23000 (28%)] Loss: 0.906239
File: 5 Train Epoch: 2 [12800/23000 (56%)] Loss: 0.994062
File: 5 Train Epoch: 2 [19200/23000 (83%)] Loss: 1.201252
Training data:

Average loss: 0.8318, Accuracy: 15980/23000 (69.000%)

Test data:

Average loss: 22.8502, Accuracy: 3055/23000 (13.000%)

File: 6 Train Epoch: 2 [6400/23000 (28%)] Loss: 0.914227
File: 6 Train Epoch: 2 [12800/23000 (56%)] Loss: 0.785443
File: 6 Train Epoch: 2 [19200/23000 (83%)] Loss: 0.788579
Training data:

Average loss: 0.6294, Accuracy: 17963/23000 (78.000%)

Test data:

Average loss: 21.0611, Accuracy: 3156/23000 (13.000%)

File: 7 Train Epoch: 2 [6400/23000 (28%)] Loss: 1.036396
File: 7 Train Epoch: 2 [12800/23000 (56%)] Loss: 1.012570
File: 7 Train Epoch: 2 [19200/23000 (83%)] Loss: 1.047814
Training data:

Average loss: 0.7755, Accuracy: 16357/23000 (71.000%)

Test data:

Average loss: 24.6916, Accuracy: 2966/23000 (12.000%)

File: 8 Train Epoch: 2 [6400/22000 (29%)] Loss: 1.083293
File: 8 Train Epoch: 2 [12800/22000 (58%)] Loss: 1.751902
File: 8 Train Epoch: 2 [19200/22000 (87%)] Loss: 1.075259
Training data:

Average loss: 0.9595, Accuracy: 14441/22000 (65.000%)

Test data:

Average loss: 24.6068, Accuracy: 3046/23000 (13.000%)

File: 9 Train Epoch: 2 [6400/20000 (32%)] Loss: 0.882571
File: 9 Train Epoch: 2 [12800/20000 (64%)] Loss: 1.272292
File: 9 Train Epoch: 2 [19200/20000 (96%)] Loss: 0.930902
Training data:

Average loss: 0.9245, Accuracy: 13310/20000 (66.000%)

Test data:

Average loss: 20.9585, Accuracy: 3062/23000 (13.000%)

File: 10 Train Epoch: 2 [6400/23000 (28%)] Loss: 1.280384
File: 10 Train Epoch: 2 [12800/23000 (56%)] Loss: 1.572065
File: 10 Train Epoch: 2 [19200/23000 (83%)] Loss: 1.305803
Training data:

Average loss: 1.0188, Accuracy: 14638/23000 (63.000%)

Test data:

Average loss: 20.8247, Accuracy: 2985/23000 (12.000%)

File: 11 Train Epoch: 2 [6400/21000 (30%)] Loss: 1.281442
File: 11 Train Epoch: 2 [12800/21000 (61%)] Loss: 1.599677
File: 11 Train Epoch: 2 [19200/21000 (91%)] Loss: 1.257492
Training data:

Average loss: 1.0571, Accuracy: 13139/21000 (62.000%)

Test data:

Average loss: 13.3302, Accuracy: 3427/23000 (14.000%)

File: 12 Train Epoch: 2 [6400/23000 (28%)] Loss: 1.478665
File: 12 Train Epoch: 2 [12800/23000 (56%)] Loss: 0.969983
File: 12 Train Epoch: 2 [19200/23000 (83%)] Loss: 1.143705
Training data:

Average loss: 0.8752, Accuracy: 15428/23000 (67.000%)

Test data:

Average loss: 23.3379, Accuracy: 3012/23000 (13.000%)

File: 13 Train Epoch: 2 [6400/23000 (28%)] Loss: 1.015668
File: 13 Train Epoch: 2 [12800/23000 (56%)] Loss: 1.148745
File: 13 Train Epoch: 2 [19200/23000 (83%)] Loss: 1.208811
Training data:

Average loss: 0.8641, Accuracy: 16060/23000 (69.000%)

Test data:

Average loss: 20.7661, Accuracy: 3126/23000 (13.000%)

File: 14 Train Epoch: 2 [6400/23000 (28%)] Loss: 1.331656
File: 14 Train Epoch: 2 [12800/23000 (56%)] Loss: 1.200631
File: 14 Train Epoch: 2 [19200/23000 (83%)] Loss: 1.328988
Training data:

Average loss: 1.1408, Accuracy: 13668/23000 (59.000%)

Test data:

Average loss: 1.8842, Accuracy: 10154/23000 (44.000%)

File: 15 Train Epoch: 2 [6400/23000 (28%)] Loss: 1.347355
File: 15 Train Epoch: 2 [12800/23000 (56%)] Loss: 1.316570
File: 15 Train Epoch: 2 [19200/23000 (83%)] Loss: 1.066463
Training data:

Average loss: 0.8926, Accuracy: 15321/23000 (66.000%)

Test data:

Average loss: 18.8089, Accuracy: 3262/23000 (14.000%)

File: 16 Train Epoch: 2 [6400/20000 (32%)] Loss: 1.074969
File: 16 Train Epoch: 2 [12800/20000 (64%)] Loss: 1.127787
File: 16 Train Epoch: 2 [19200/20000 (96%)] Loss: 1.096840
Training data:

Average loss: 0.8612, Accuracy: 13702/20000 (68.000%)

Test data:

Average loss: 23.4502, Accuracy: 3035/23000 (13.000%)

File: 17 Train Epoch: 2 [6400/20000 (32%)] Loss: 1.183013
File: 17 Train Epoch: 2 [12800/20000 (64%)] Loss: 0.842211
File: 17 Train Epoch: 2 [19200/20000 (96%)] Loss: 1.005671
Training data:

Average loss: 0.7902, Accuracy: 14129/20000 (70.000%)

Test data:

Average loss: 19.1389, Accuracy: 3089/23000 (13.000%)

File: 18 Train Epoch: 2 [6400/23000 (28%)] Loss: 1.112490
File: 18 Train Epoch: 2 [12800/23000 (56%)] Loss: 1.085049
File: 18 Train Epoch: 2 [19200/23000 (83%)] Loss: 1.094819
Training data:

Average loss: 1.0279, Accuracy: 14725/23000 (64.000%)

Test data:

Average loss: 4.7957, Accuracy: 5162/23000 (22.000%)

File: 19 Train Epoch: 2 [6400/21000 (30%)] Loss: 1.397588
File: 19 Train Epoch: 2 [12800/21000 (61%)] Loss: 0.886551
File: 19 Train Epoch: 2 [19200/21000 (91%)] Loss: 1.317076
Training data:

Average loss: 0.8716, Accuracy: 14327/21000 (68.000%)

Test data:

Average loss: 19.8895, Accuracy: 2895/23000 (12.000%)

File: 20 Train Epoch: 2 [6400/21965 (29%)] Loss: 1.132999
File: 20 Train Epoch: 2 [12800/21965 (58%)] Loss: 1.657784
File: 20 Train Epoch: 2 [19200/21965 (87%)] Loss: 1.356435
Training data:

Average loss: 1.3573, Accuracy: 12165/21965 (55.000%)

Test data:

Average loss: 16.0059, Accuracy: 2803/23000 (12.000%)

File: 2 Train Epoch: 3 [6400/21000 (30%)] Loss: 0.893837
File: 2 Train Epoch: 3 [12800/21000 (61%)] Loss: 1.031056
File: 2 Train Epoch: 3 [19200/21000 (91%)] Loss: 0.963931
Training data:

Average loss: 0.9893, Accuracy: 13427/21000 (63.000%)

Test data:

Average loss: 12.1015, Accuracy: 3517/23000 (15.000%)

File: 3 Train Epoch: 3 [6400/22000 (29%)] Loss: 1.218912
File: 3 Train Epoch: 3 [12800/22000 (58%)] Loss: 1.027961
File: 3 Train Epoch: 3 [19200/22000 (87%)] Loss: 1.205769
Training data:

Average loss: 1.0215, Accuracy: 13936/22000 (63.000%)

Test data:

Average loss: 21.9248, Accuracy: 3156/23000 (13.000%)

File: 4 Train Epoch: 3 [6400/23000 (28%)] Loss: 1.701318
File: 4 Train Epoch: 3 [12800/23000 (56%)] Loss: 1.161751
File: 4 Train Epoch: 3 [19200/23000 (83%)] Loss: 0.803285
Training data:

Average loss: 0.8675, Accuracy: 16042/23000 (69.000%)

Test data:

Average loss: 4.9626, Accuracy: 4593/23000 (19.000%)

File: 5 Train Epoch: 3 [6400/23000 (28%)] Loss: 1.038437
File: 5 Train Epoch: 3 [12800/23000 (56%)] Loss: 0.926828
File: 5 Train Epoch: 3 [19200/23000 (83%)] Loss: 1.240712
Training data:

Average loss: 0.8491, Accuracy: 15933/23000 (69.000%)

Test data:

Average loss: 21.9608, Accuracy: 2954/23000 (12.000%)

File: 6 Train Epoch: 3 [6400/23000 (28%)] Loss: 0.785452
File: 6 Train Epoch: 3 [12800/23000 (56%)] Loss: 0.664681
File: 6 Train Epoch: 3 [19200/23000 (83%)] Loss: 0.780740
Training data:

Average loss: 0.6304, Accuracy: 17972/23000 (78.000%)

Test data:

Average loss: 20.7040, Accuracy: 3174/23000 (13.000%)

File: 7 Train Epoch: 3 [6400/23000 (28%)] Loss: 0.858404
File: 7 Train Epoch: 3 [12800/23000 (56%)] Loss: 0.898333
File: 7 Train Epoch: 3 [19200/23000 (83%)] Loss: 0.684426
Training data:

Average loss: 0.7656, Accuracy: 16464/23000 (71.000%)

Test data:

Average loss: 23.2503, Accuracy: 2993/23000 (13.000%)

File: 8 Train Epoch: 3 [6400/22000 (29%)] Loss: 0.990038
File: 8 Train Epoch: 3 [12800/22000 (58%)] Loss: 1.077786
File: 8 Train Epoch: 3 [19200/22000 (87%)] Loss: 1.061169
Training data:

Average loss: 1.0089, Accuracy: 14221/22000 (64.000%)

Test data:

Average loss: 24.4405, Accuracy: 2989/23000 (12.000%)

File: 9 Train Epoch: 3 [6400/20000 (32%)] Loss: 0.594117
File: 9 Train Epoch: 3 [12800/20000 (64%)] Loss: 1.024001
File: 9 Train Epoch: 3 [19200/20000 (96%)] Loss: 1.026618
Training data:

Average loss: 0.9166, Accuracy: 13362/20000 (66.000%)

Test data:

Average loss: 20.8316, Accuracy: 3059/23000 (13.000%)

File: 10 Train Epoch: 3 [6400/23000 (28%)] Loss: 1.467219
File: 10 Train Epoch: 3 [12800/23000 (56%)] Loss: 1.155249
File: 10 Train Epoch: 3 [19200/23000 (83%)] Loss: 0.958839
Training data:

Average loss: 1.0281, Accuracy: 14564/23000 (63.000%)

Test data:

Average loss: 19.9672, Accuracy: 2893/23000 (12.000%)

File: 11 Train Epoch: 3 [6400/21000 (30%)] Loss: 1.286543
File: 11 Train Epoch: 3 [12800/21000 (61%)] Loss: 1.107890
File: 11 Train Epoch: 3 [19200/21000 (91%)] Loss: 1.403008
Training data:

Average loss: 1.0538, Accuracy: 13180/21000 (62.000%)

Test data:

Average loss: 13.3201, Accuracy: 3402/23000 (14.000%)

File: 12 Train Epoch: 3 [6400/23000 (28%)] Loss: 1.092230
File: 12 Train Epoch: 3 [12800/23000 (56%)] Loss: 1.123366
File: 12 Train Epoch: 3 [19200/23000 (83%)] Loss: 1.219869
Training data:

Average loss: 0.9550, Accuracy: 15045/23000 (65.000%)

Test data:

Average loss: 22.5475, Accuracy: 2979/23000 (12.000%)

File: 13 Train Epoch: 3 [6400/23000 (28%)] Loss: 1.305724
File: 13 Train Epoch: 3 [12800/23000 (56%)] Loss: 1.021425
File: 13 Train Epoch: 3 [19200/23000 (83%)] Loss: 1.057692
Training data:

Average loss: 0.8172, Accuracy: 16284/23000 (70.000%)

Test data:

Average loss: 19.6316, Accuracy: 3099/23000 (13.000%)

File: 14 Train Epoch: 3 [6400/23000 (28%)] Loss: 1.210704
File: 14 Train Epoch: 3 [12800/23000 (56%)] Loss: 1.439647
File: 14 Train Epoch: 3 [19200/23000 (83%)] Loss: 1.382039
Training data:

Average loss: 1.1966, Accuracy: 13532/23000 (58.000%)

Test data:

Average loss: 1.8238, Accuracy: 10250/23000 (44.000%)

File: 15 Train Epoch: 3 [6400/23000 (28%)] Loss: 1.273080
File: 15 Train Epoch: 3 [12800/23000 (56%)] Loss: 0.741007
File: 15 Train Epoch: 3 [19200/23000 (83%)] Loss: 1.018589
Training data:

Average loss: 0.9414, Accuracy: 14949/23000 (64.000%)

Test data:

Average loss: 18.7347, Accuracy: 3342/23000 (14.000%)

File: 16 Train Epoch: 3 [6400/20000 (32%)] Loss: 1.165986
File: 16 Train Epoch: 3 [12800/20000 (64%)] Loss: 1.138641
File: 16 Train Epoch: 3 [19200/20000 (96%)] Loss: 1.106557
Training data:

Average loss: 0.8507, Accuracy: 13720/20000 (68.000%)

Test data:

Average loss: 23.3874, Accuracy: 3083/23000 (13.000%)

File: 17 Train Epoch: 3 [6400/20000 (32%)] Loss: 1.073389
File: 17 Train Epoch: 3 [12800/20000 (64%)] Loss: 0.911154
File: 17 Train Epoch: 3 [19200/20000 (96%)] Loss: 1.009915
Training data:

Average loss: 0.7875, Accuracy: 14170/20000 (70.000%)

Test data:

Average loss: 18.6131, Accuracy: 2950/23000 (12.000%)

File: 18 Train Epoch: 3 [6400/23000 (28%)] Loss: 1.052181
File: 18 Train Epoch: 3 [12800/23000 (56%)] Loss: 1.453015
File: 18 Train Epoch: 3 [19200/23000 (83%)] Loss: 0.972320
Training data:

Average loss: 1.0437, Accuracy: 14642/23000 (63.000%)

Test data:

Average loss: 4.7428, Accuracy: 5074/23000 (22.000%)

File: 19 Train Epoch: 3 [6400/21000 (30%)] Loss: 1.306650
File: 19 Train Epoch: 3 [12800/21000 (61%)] Loss: 1.060051
File: 19 Train Epoch: 3 [19200/21000 (91%)] Loss: 1.254294
Training data:

Average loss: 0.8723, Accuracy: 14367/21000 (68.000%)

Test data:

Average loss: 17.7489, Accuracy: 3030/23000 (13.000%)

File: 20 Train Epoch: 3 [6400/21965 (29%)] Loss: 1.371381
File: 20 Train Epoch: 3 [12800/21965 (58%)] Loss: 1.775305
File: 20 Train Epoch: 3 [19200/21965 (87%)] Loss: 1.633477
Training data:

Average loss: 1.2678, Accuracy: 12589/21965 (57.000%)

Test data:

Average loss: 17.3139, Accuracy: 2825/23000 (12.000%)

File: 2 Train Epoch: 4 [6400/21000 (30%)] Loss: 0.924174
File: 2 Train Epoch: 4 [12800/21000 (61%)] Loss: 0.949206
File: 2 Train Epoch: 4 [19200/21000 (91%)] Loss: 1.098487
Training data:

Average loss: 0.9704, Accuracy: 13627/21000 (64.000%)

Test data:

Average loss: 12.9115, Accuracy: 3553/23000 (15.000%)

File: 3 Train Epoch: 4 [6400/22000 (29%)] Loss: 1.056836
File: 3 Train Epoch: 4 [12800/22000 (58%)] Loss: 1.287619
File: 3 Train Epoch: 4 [19200/22000 (87%)] Loss: 1.188742
Training data:

Average loss: 1.0488, Accuracy: 13771/22000 (62.000%)

Test data:

Average loss: 21.2900, Accuracy: 3179/23000 (13.000%)

File: 4 Train Epoch: 4 [6400/23000 (28%)] Loss: 0.905399
File: 4 Train Epoch: 4 [12800/23000 (56%)] Loss: 1.036430
File: 4 Train Epoch: 4 [19200/23000 (83%)] Loss: 1.247938
Training data:

Average loss: 0.9091, Accuracy: 15807/23000 (68.000%)

Test data:

Average loss: 4.9343, Accuracy: 4469/23000 (19.000%)

File: 5 Train Epoch: 4 [6400/23000 (28%)] Loss: 1.330667
File: 5 Train Epoch: 4 [12800/23000 (56%)] Loss: 1.013625
File: 5 Train Epoch: 4 [19200/23000 (83%)] Loss: 0.887272
Training data:

Average loss: 0.8264, Accuracy: 16036/23000 (69.000%)

Test data:

Average loss: 22.2852, Accuracy: 2965/23000 (12.000%)

File: 6 Train Epoch: 4 [6400/23000 (28%)] Loss: 0.722703
File: 6 Train Epoch: 4 [12800/23000 (56%)] Loss: 0.852084
File: 6 Train Epoch: 4 [19200/23000 (83%)] Loss: 0.888129
Training data:

Average loss: 0.6443, Accuracy: 17884/23000 (77.000%)

Test data:

Average loss: 20.0576, Accuracy: 3153/23000 (13.000%)

File: 7 Train Epoch: 4 [6400/23000 (28%)] Loss: 0.801639
File: 7 Train Epoch: 4 [12800/23000 (56%)] Loss: 0.987611
File: 7 Train Epoch: 4 [19200/23000 (83%)] Loss: 0.994437
Training data:

Average loss: 0.7620, Accuracy: 16475/23000 (71.000%)

Test data:

Average loss: 23.2754, Accuracy: 2922/23000 (12.000%)

File: 8 Train Epoch: 4 [6400/22000 (29%)] Loss: 1.042967
File: 8 Train Epoch: 4 [12800/22000 (58%)] Loss: 1.076306
File: 8 Train Epoch: 4 [19200/22000 (87%)] Loss: 1.231812
Training data:

Average loss: 0.9671, Accuracy: 14415/22000 (65.000%)

Test data:

Average loss: 25.3442, Accuracy: 3038/23000 (13.000%)

File: 9 Train Epoch: 4 [6400/20000 (32%)] Loss: 1.032167
File: 9 Train Epoch: 4 [12800/20000 (64%)] Loss: 1.104160
File: 9 Train Epoch: 4 [19200/20000 (96%)] Loss: 1.025829
Training data:

Average loss: 0.9759, Accuracy: 13155/20000 (65.000%)

Test data:

Average loss: 19.2659, Accuracy: 3127/23000 (13.000%)

File: 10 Train Epoch: 4 [6400/23000 (28%)] Loss: 1.252942
File: 10 Train Epoch: 4 [12800/23000 (56%)] Loss: 1.824091
File: 10 Train Epoch: 4 [19200/23000 (83%)] Loss: 1.186593
Training data:

Average loss: 1.0282, Accuracy: 14469/23000 (62.000%)

Test data:

Average loss: 21.5679, Accuracy: 2961/23000 (12.000%)

File: 11 Train Epoch: 4 [6400/21000 (30%)] Loss: 1.144520
File: 11 Train Epoch: 4 [12800/21000 (61%)] Loss: 1.358332
File: 11 Train Epoch: 4 [19200/21000 (91%)] Loss: 1.739535
Training data:

Average loss: 1.0559, Accuracy: 13148/21000 (62.000%)

Test data:

Average loss: 13.0255, Accuracy: 3338/23000 (14.000%)

File: 12 Train Epoch: 4 [6400/23000 (28%)] Loss: 1.188999
File: 12 Train Epoch: 4 [12800/23000 (56%)] Loss: 0.885109
File: 12 Train Epoch: 4 [19200/23000 (83%)] Loss: 0.996971
Training data:

Average loss: 0.9161, Accuracy: 15267/23000 (66.000%)

Test data:

Average loss: 22.5107, Accuracy: 3004/23000 (13.000%)

File: 13 Train Epoch: 4 [6400/23000 (28%)] Loss: 0.665049
File: 13 Train Epoch: 4 [12800/23000 (56%)] Loss: 1.270507
File: 13 Train Epoch: 4 [19200/23000 (83%)] Loss: 1.278364
Training data:

Average loss: 0.8125, Accuracy: 16274/23000 (70.000%)

Test data:

Average loss: 20.9160, Accuracy: 3204/23000 (13.000%)

File: 14 Train Epoch: 4 [6400/23000 (28%)] Loss: 1.008414
File: 14 Train Epoch: 4 [12800/23000 (56%)] Loss: 1.289854
File: 14 Train Epoch: 4 [19200/23000 (83%)] Loss: 1.256694
Training data:

Average loss: 1.1252, Accuracy: 13866/23000 (60.000%)

Test data:

Average loss: 1.8618, Accuracy: 10150/23000 (44.000%)

File: 15 Train Epoch: 4 [6400/23000 (28%)] Loss: 1.046987
File: 15 Train Epoch: 4 [12800/23000 (56%)] Loss: 1.028296
File: 15 Train Epoch: 4 [19200/23000 (83%)] Loss: 1.631193
Training data:

Average loss: 0.9546, Accuracy: 14866/23000 (64.000%)

Test data:

Average loss: 19.7303, Accuracy: 3338/23000 (14.000%)

File: 16 Train Epoch: 4 [6400/20000 (32%)] Loss: 1.045994
File: 16 Train Epoch: 4 [12800/20000 (64%)] Loss: 0.838042
File: 16 Train Epoch: 4 [19200/20000 (96%)] Loss: 1.114726
Training data:

Average loss: 0.8526, Accuracy: 13728/20000 (68.000%)

Test data:

Average loss: 23.8319, Accuracy: 3070/23000 (13.000%)

File: 17 Train Epoch: 4 [6400/20000 (32%)] Loss: 0.742976
File: 17 Train Epoch: 4 [12800/20000 (64%)] Loss: 1.419747
File: 17 Train Epoch: 4 [19200/20000 (96%)] Loss: 0.711764
Training data:

Average loss: 0.8136, Accuracy: 13962/20000 (69.000%)

Test data:

Average loss: 18.5012, Accuracy: 3145/23000 (13.000%)

File: 18 Train Epoch: 4 [6400/23000 (28%)] Loss: 0.883998
File: 18 Train Epoch: 4 [12800/23000 (56%)] Loss: 1.072588
File: 18 Train Epoch: 4 [19200/23000 (83%)] Loss: 1.285141
Training data:

Average loss: 1.0681, Accuracy: 14567/23000 (63.000%)

Test data:

Average loss: 4.7029, Accuracy: 5046/23000 (21.000%)

File: 19 Train Epoch: 4 [6400/21000 (30%)] Loss: 0.956929
File: 19 Train Epoch: 4 [12800/21000 (61%)] Loss: 0.961151
File: 19 Train Epoch: 4 [19200/21000 (91%)] Loss: 1.096775
Training data:

Average loss: 0.8858, Accuracy: 14263/21000 (67.000%)

Test data:

Average loss: 18.2144, Accuracy: 2885/23000 (12.000%)

File: 20 Train Epoch: 4 [6400/21965 (29%)] Loss: 1.333709
File: 20 Train Epoch: 4 [12800/21965 (58%)] Loss: 1.580450
File: 20 Train Epoch: 4 [19200/21965 (87%)] Loss: 1.864856
Training data:

Average loss: 1.2619, Accuracy: 12553/21965 (57.000%)

Test data:

Average loss: 16.8176, Accuracy: 2791/23000 (12.000%)

File: 2 Train Epoch: 5 [6400/21000 (30%)] Loss: 1.312949
File: 2 Train Epoch: 5 [12800/21000 (61%)] Loss: 1.496792
File: 2 Train Epoch: 5 [19200/21000 (91%)] Loss: 0.936205
Training data:

Average loss: 1.0225, Accuracy: 13319/21000 (63.000%)

Test data:

Average loss: 12.0462, Accuracy: 3497/23000 (15.000%)

File: 3 Train Epoch: 5 [6400/22000 (29%)] Loss: 1.341360
File: 3 Train Epoch: 5 [12800/22000 (58%)] Loss: 1.116725
File: 3 Train Epoch: 5 [19200/22000 (87%)] Loss: 1.181197
Training data:

Average loss: 1.1087, Accuracy: 13515/22000 (61.000%)

Test data:

Average loss: 21.8435, Accuracy: 3133/23000 (13.000%)

File: 4 Train Epoch: 5 [6400/23000 (28%)] Loss: 0.954611
File: 4 Train Epoch: 5 [12800/23000 (56%)] Loss: 0.893654
File: 4 Train Epoch: 5 [19200/23000 (83%)] Loss: 0.914166
Training data:

Average loss: 0.8834, Accuracy: 15983/23000 (69.000%)

Test data:

Average loss: 5.0199, Accuracy: 4476/23000 (19.000%)

File: 5 Train Epoch: 5 [6400/23000 (28%)] Loss: 1.058729
File: 5 Train Epoch: 5 [12800/23000 (56%)] Loss: 1.237514
File: 5 Train Epoch: 5 [19200/23000 (83%)] Loss: 1.157674
Training data:

Average loss: 0.8233, Accuracy: 16052/23000 (69.000%)

Test data:

Average loss: 22.0186, Accuracy: 2977/23000 (12.000%)

File: 6 Train Epoch: 5 [6400/23000 (28%)] Loss: 0.874514
File: 6 Train Epoch: 5 [12800/23000 (56%)] Loss: 0.853747
File: 6 Train Epoch: 5 [19200/23000 (83%)] Loss: 0.947892
Training data:

Average loss: 0.6498, Accuracy: 17896/23000 (77.000%)

Test data:

Average loss: 20.0907, Accuracy: 3134/23000 (13.000%)

File: 7 Train Epoch: 5 [6400/23000 (28%)] Loss: 0.870060
File: 7 Train Epoch: 5 [12800/23000 (56%)] Loss: 0.852211
File: 7 Train Epoch: 5 [19200/23000 (83%)] Loss: 0.982949
Training data:

Average loss: 0.7635, Accuracy: 16445/23000 (71.000%)

Test data:

Average loss: 22.7482, Accuracy: 2999/23000 (13.000%)

File: 8 Train Epoch: 5 [6400/22000 (29%)] Loss: 1.273742
File: 8 Train Epoch: 5 [12800/22000 (58%)] Loss: 1.361388
File: 8 Train Epoch: 5 [19200/22000 (87%)] Loss: 1.326315
Training data:

Average loss: 0.9691, Accuracy: 14408/22000 (65.000%)

Test data:

Average loss: 26.3752, Accuracy: 3033/23000 (13.000%)

File: 9 Train Epoch: 5 [6400/20000 (32%)] Loss: 1.575630
File: 9 Train Epoch: 5 [12800/20000 (64%)] Loss: 0.910738
File: 9 Train Epoch: 5 [19200/20000 (96%)] Loss: 1.324921
Training data:

Average loss: 0.9434, Accuracy: 13215/20000 (66.000%)

Test data:

Average loss: 19.1901, Accuracy: 2874/23000 (12.000%)

File: 10 Train Epoch: 5 [6400/23000 (28%)] Loss: 1.091262
File: 10 Train Epoch: 5 [12800/23000 (56%)] Loss: 1.150637
File: 10 Train Epoch: 5 [19200/23000 (83%)] Loss: 1.197405
Training data:

Average loss: 1.0314, Accuracy: 14439/23000 (62.000%)

Test data:

Average loss: 21.4702, Accuracy: 3042/23000 (13.000%)

File: 11 Train Epoch: 5 [6400/21000 (30%)] Loss: 1.563825
File: 11 Train Epoch: 5 [12800/21000 (61%)] Loss: 1.185513
File: 11 Train Epoch: 5 [19200/21000 (91%)] Loss: 1.131877
Training data:

Average loss: 1.1740, Accuracy: 12550/21000 (59.000%)

Test data:

Average loss: 14.8717, Accuracy: 3438/23000 (14.000%)

File: 12 Train Epoch: 5 [6400/23000 (28%)] Loss: 1.245561
File: 12 Train Epoch: 5 [12800/23000 (56%)] Loss: 1.300608
File: 12 Train Epoch: 5 [19200/23000 (83%)] Loss: 1.155916
Training data:

Average loss: 0.9233, Accuracy: 15198/23000 (66.000%)

Test data:

Average loss: 23.5083, Accuracy: 2994/23000 (13.000%)

File: 13 Train Epoch: 5 [6400/23000 (28%)] Loss: 0.912409
File: 13 Train Epoch: 5 [12800/23000 (56%)] Loss: 1.115144
File: 13 Train Epoch: 5 [19200/23000 (83%)] Loss: 0.884650
Training data:

Average loss: 0.7903, Accuracy: 16359/23000 (71.000%)

Test data:

Average loss: 20.3102, Accuracy: 3220/23000 (14.000%)

File: 14 Train Epoch: 5 [6400/23000 (28%)] Loss: 1.169180
File: 14 Train Epoch: 5 [12800/23000 (56%)] Loss: 1.164089
File: 14 Train Epoch: 5 [19200/23000 (83%)] Loss: 1.490334
Training data:

Average loss: 1.2068, Accuracy: 13635/23000 (59.000%)

Test data:

Average loss: 1.6948, Accuracy: 10719/23000 (46.000%)

File: 15 Train Epoch: 5 [6400/23000 (28%)] Loss: 1.234331
File: 15 Train Epoch: 5 [12800/23000 (56%)] Loss: 1.043967
File: 15 Train Epoch: 5 [19200/23000 (83%)] Loss: 1.049796
Training data:

Average loss: 0.9726, Accuracy: 14844/23000 (64.000%)

Test data:

Average loss: 18.3638, Accuracy: 3381/23000 (14.000%)

File: 16 Train Epoch: 5 [6400/20000 (32%)] Loss: 1.145397
File: 16 Train Epoch: 5 [12800/20000 (64%)] Loss: 1.156011
File: 16 Train Epoch: 5 [19200/20000 (96%)] Loss: 0.913021
Training data:

Average loss: 0.8591, Accuracy: 13706/20000 (68.000%)

Test data:

Average loss: 22.8705, Accuracy: 3038/23000 (13.000%)

File: 17 Train Epoch: 5 [6400/20000 (32%)] Loss: 1.177846
File: 17 Train Epoch: 5 [12800/20000 (64%)] Loss: 1.000358
File: 17 Train Epoch: 5 [19200/20000 (96%)] Loss: 1.018653
Training data:

Average loss: 0.8047, Accuracy: 14104/20000 (70.000%)

Test data:

Average loss: 18.6739, Accuracy: 3072/23000 (13.000%)

File: 18 Train Epoch: 5 [6400/23000 (28%)] Loss: 0.991826
File: 18 Train Epoch: 5 [12800/23000 (56%)] Loss: 1.085953
File: 18 Train Epoch: 5 [19200/23000 (83%)] Loss: 1.287142
Training data:

Average loss: 1.0933, Accuracy: 14376/23000 (62.000%)

Test data:

Average loss: 4.9526, Accuracy: 4954/23000 (21.000%)

File: 19 Train Epoch: 5 [6400/21000 (30%)] Loss: 1.211714
File: 19 Train Epoch: 5 [12800/21000 (61%)] Loss: 1.180398
File: 19 Train Epoch: 5 [19200/21000 (91%)] Loss: 1.014192
Training data:

Average loss: 0.8801, Accuracy: 14260/21000 (67.000%)

Test data:

Average loss: 17.8073, Accuracy: 2735/23000 (11.000%)

File: 20 Train Epoch: 5 [6400/21965 (29%)] Loss: 1.939938
File: 20 Train Epoch: 5 [12800/21965 (58%)] Loss: 1.632217
File: 20 Train Epoch: 5 [19200/21965 (87%)] Loss: 1.537347
Training data:

Average loss: 1.2618, Accuracy: 12582/21965 (57.000%)

Test data:

Average loss: 16.8575, Accuracy: 2782/23000 (12.000%)

File: 2 Train Epoch: 6 [6400/21000 (30%)] Loss: 1.157207
File: 2 Train Epoch: 6 [12800/21000 (61%)] Loss: 1.041692
File: 2 Train Epoch: 6 [19200/21000 (91%)] Loss: 1.209391
Training data:

Average loss: 0.9852, Accuracy: 13498/21000 (64.000%)

Test data:

Average loss: 12.5690, Accuracy: 3543/23000 (15.000%)

File: 3 Train Epoch: 6 [6400/22000 (29%)] Loss: 1.182569
File: 3 Train Epoch: 6 [12800/22000 (58%)] Loss: 0.990749
File: 3 Train Epoch: 6 [19200/22000 (87%)] Loss: 1.162565
Training data:

Average loss: 1.0312, Accuracy: 13858/22000 (62.000%)

Test data:

Average loss: 21.6532, Accuracy: 3171/23000 (13.000%)

File: 4 Train Epoch: 6 [6400/23000 (28%)] Loss: 1.093833
File: 4 Train Epoch: 6 [12800/23000 (56%)] Loss: 0.911971
File: 4 Train Epoch: 6 [19200/23000 (83%)] Loss: 0.917859
Training data:

Average loss: 0.9221, Accuracy: 15700/23000 (68.000%)

Test data:

Average loss: 5.0097, Accuracy: 4470/23000 (19.000%)

File: 5 Train Epoch: 6 [6400/23000 (28%)] Loss: 1.539347
File: 5 Train Epoch: 6 [12800/23000 (56%)] Loss: 0.896140
File: 5 Train Epoch: 6 [19200/23000 (83%)] Loss: 0.978601
Training data:

Average loss: 0.8263, Accuracy: 16038/23000 (69.000%)

Test data:

Average loss: 22.1162, Accuracy: 2975/23000 (12.000%)

File: 6 Train Epoch: 6 [6400/23000 (28%)] Loss: 0.673906
File: 6 Train Epoch: 6 [12800/23000 (56%)] Loss: 0.729059
File: 6 Train Epoch: 6 [19200/23000 (83%)] Loss: 0.934722
Training data:

Average loss: 0.6243, Accuracy: 18000/23000 (78.000%)

Test data:

Average loss: 20.7834, Accuracy: 3251/23000 (14.000%)

File: 7 Train Epoch: 6 [6400/23000 (28%)] Loss: 1.042040
File: 7 Train Epoch: 6 [12800/23000 (56%)] Loss: 0.906196
File: 7 Train Epoch: 6 [19200/23000 (83%)] Loss: 0.989664
Training data:

Average loss: 0.7655, Accuracy: 16433/23000 (71.000%)

Test data:

Average loss: 24.1594, Accuracy: 3030/23000 (13.000%)

File: 8 Train Epoch: 6 [6400/22000 (29%)] Loss: 0.956943
File: 8 Train Epoch: 6 [12800/22000 (58%)] Loss: 1.092491
File: 8 Train Epoch: 6 [19200/22000 (87%)] Loss: 1.170097
Training data:

Average loss: 0.9451, Accuracy: 14496/22000 (65.000%)

Test data:

Average loss: 25.3575, Accuracy: 3099/23000 (13.000%)

File: 9 Train Epoch: 6 [6400/20000 (32%)] Loss: 0.946052
File: 9 Train Epoch: 6 [12800/20000 (64%)] Loss: 1.193564
File: 9 Train Epoch: 6 [19200/20000 (96%)] Loss: 1.100853
Training data:

Average loss: 0.9397, Accuracy: 13261/20000 (66.000%)

Test data:

Average loss: 20.5474, Accuracy: 3097/23000 (13.000%)

File: 10 Train Epoch: 6 [6400/23000 (28%)] Loss: 0.817872
File: 10 Train Epoch: 6 [12800/23000 (56%)] Loss: 1.095960
File: 10 Train Epoch: 6 [19200/23000 (83%)] Loss: 1.267066
Training data:

Average loss: 1.0261, Accuracy: 14505/23000 (63.000%)

Test data:

Average loss: 21.0561, Accuracy: 2969/23000 (12.000%)

File: 11 Train Epoch: 6 [6400/21000 (30%)] Loss: 1.223700
File: 11 Train Epoch: 6 [12800/21000 (61%)] Loss: 1.561401
File: 11 Train Epoch: 6 [19200/21000 (91%)] Loss: 1.109585
Training data:

Average loss: 1.1144, Accuracy: 13030/21000 (62.000%)

Test data:

Average loss: 13.6099, Accuracy: 3381/23000 (14.000%)

File: 12 Train Epoch: 6 [6400/23000 (28%)] Loss: 0.982159
File: 12 Train Epoch: 6 [12800/23000 (56%)] Loss: 0.927607
File: 12 Train Epoch: 6 [19200/23000 (83%)] Loss: 0.854522
Training data:

Average loss: 0.8986, Accuracy: 15348/23000 (66.000%)

Test data:

Average loss: 23.0185, Accuracy: 2994/23000 (13.000%)

File: 13 Train Epoch: 6 [6400/23000 (28%)] Loss: 1.009410
File: 13 Train Epoch: 6 [12800/23000 (56%)] Loss: 0.858821
File: 13 Train Epoch: 6 [19200/23000 (83%)] Loss: 0.875937
Training data:

Average loss: 0.8117, Accuracy: 16265/23000 (70.000%)

Test data:

Average loss: 20.7817, Accuracy: 3226/23000 (14.000%)

File: 14 Train Epoch: 6 [6400/23000 (28%)] Loss: 1.186064
File: 14 Train Epoch: 6 [12800/23000 (56%)] Loss: 1.198336
File: 14 Train Epoch: 6 [19200/23000 (83%)] Loss: 1.389850
Training data:

Average loss: 1.1908, Accuracy: 13424/23000 (58.000%)

Test data:

Average loss: 1.8780, Accuracy: 10180/23000 (44.000%)

File: 15 Train Epoch: 6 [6400/23000 (28%)] Loss: 0.938678
File: 15 Train Epoch: 6 [12800/23000 (56%)] Loss: 1.117432
File: 15 Train Epoch: 6 [19200/23000 (83%)] Loss: 1.222323
Training data:

Average loss: 0.9249, Accuracy: 15050/23000 (65.000%)

Test data:

Average loss: 19.4838, Accuracy: 3320/23000 (14.000%)

File: 16 Train Epoch: 6 [6400/20000 (32%)] Loss: 0.713311
File: 16 Train Epoch: 6 [12800/20000 (64%)] Loss: 0.898948
File: 16 Train Epoch: 6 [19200/20000 (96%)] Loss: 0.826068
Training data:

Average loss: 0.8552, Accuracy: 13736/20000 (68.000%)

Test data:

Average loss: 23.7122, Accuracy: 3045/23000 (13.000%)

File: 17 Train Epoch: 6 [6400/20000 (32%)] Loss: 0.948200
File: 17 Train Epoch: 6 [12800/20000 (64%)] Loss: 1.136927
File: 17 Train Epoch: 6 [19200/20000 (96%)] Loss: 1.487869
Training data:

Average loss: 0.8053, Accuracy: 14068/20000 (70.000%)

Test data:

Average loss: 18.2044, Accuracy: 2953/23000 (12.000%)

File: 18 Train Epoch: 6 [6400/23000 (28%)] Loss: 1.227173
File: 18 Train Epoch: 6 [12800/23000 (56%)] Loss: 1.343598
File: 18 Train Epoch: 6 [19200/23000 (83%)] Loss: 0.943146
Training data:

Average loss: 1.0131, Accuracy: 15017/23000 (65.000%)

Test data:

Average loss: 5.1609, Accuracy: 5009/23000 (21.000%)

File: 19 Train Epoch: 6 [6400/21000 (30%)] Loss: 1.235333
File: 19 Train Epoch: 6 [12800/21000 (61%)] Loss: 1.088695