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Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz
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Extracting ../data/MNIST/raw/t10k-images-idx3-ubyte.gz to ../data/MNIST/raw

Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz to ../data/MNIST/raw/t10k-labels-idx1-ubyte.gz
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Extracting ../data/MNIST/raw/t10k-labels-idx1-ubyte.gz to ../data/MNIST/raw

Train Epoch: 1 [0/60000 (0%)]	Loss: 2.282550
Train Epoch: 1 [640/60000 (1%)]	Loss: 1.384441
Train Epoch: 1 [1280/60000 (2%)]	Loss: 0.911242
Train Epoch: 1 [1920/60000 (3%)]	Loss: 0.611103
Train Epoch: 1 [2560/60000 (4%)]	Loss: 0.365206
Train Epoch: 1 [3200/60000 (5%)]	Loss: 0.435303
Train Epoch: 1 [3840/60000 (6%)]	Loss: 0.322173
Train Epoch: 1 [4480/60000 (7%)]	Loss: 0.794896
Train Epoch: 1 [5120/60000 (9%)]	Loss: 0.241222
Train Epoch: 1 [5760/60000 (10%)]	Loss: 0.336272
Train Epoch: 1 [6400/60000 (11%)]	Loss: 0.288047
Train Epoch: 1 [7040/60000 (12%)]	Loss: 0.208323
Train Epoch: 1 [7680/60000 (13%)]	Loss: 0.328767
Train Epoch: 1 [8320/60000 (14%)]	Loss: 0.167036
Train Epoch: 1 [8960/60000 (15%)]	Loss: 0.297223
Train Epoch: 1 [9600/60000 (16%)]	Loss: 0.216805
Train Epoch: 1 [10240/60000 (17%)]	Loss: 0.271060
Train Epoch: 1 [10880/60000 (18%)]	Loss: 0.307353
Train Epoch: 1 [11520/60000 (19%)]	Loss: 0.204853
Train Epoch: 1 [12160/60000 (20%)]	Loss: 0.097262
Train Epoch: 1 [12800/60000 (21%)]	Loss: 0.301437
Train Epoch: 1 [13440/60000 (22%)]	Loss: 0.084929
Train Epoch: 1 [14080/60000 (23%)]	Loss: 0.143850
Train Epoch: 1 [14720/60000 (25%)]	Loss: 0.201388
Train Epoch: 1 [15360/60000 (26%)]	Loss: 0.374057
Train Epoch: 1 [16000/60000 (27%)]	Loss: 0.358904
Train Epoch: 1 [16640/60000 (28%)]	Loss: 0.092320
Train Epoch: 1 [17280/60000 (29%)]	Loss: 0.162886
Train Epoch: 1 [17920/60000 (30%)]	Loss: 0.139830
Train Epoch: 1 [18560/60000 (31%)]	Loss: 0.156308
Train Epoch: 1 [19200/60000 (32%)]	Loss: 0.164191
Train Epoch: 1 [19840/60000 (33%)]	Loss: 0.112673
Train Epoch: 1 [20480/60000 (34%)]	Loss: 0.207024
Train Epoch: 1 [21120/60000 (35%)]	Loss: 0.141769
Train Epoch: 1 [21760/60000 (36%)]	Loss: 0.362877
Train Epoch: 1 [22400/60000 (37%)]	Loss: 0.303349
Train Epoch: 1 [23040/60000 (38%)]	Loss: 0.214672
Train Epoch: 1 [23680/60000 (39%)]	Loss: 0.144605
Train Epoch: 1 [24320/60000 (41%)]	Loss: 0.070110
Train Epoch: 1 [24960/60000 (42%)]	Loss: 0.121189
Train Epoch: 1 [25600/60000 (43%)]	Loss: 0.072688
Train Epoch: 1 [26240/60000 (44%)]	Loss: 0.213838
Train Epoch: 1 [26880/60000 (45%)]	Loss: 0.274946
Train Epoch: 1 [27520/60000 (46%)]	Loss: 0.138437
Train Epoch: 1 [28160/60000 (47%)]	Loss: 0.130438
Train Epoch: 1 [28800/60000 (48%)]	Loss: 0.010919
Train Epoch: 1 [29440/60000 (49%)]	Loss: 0.102403
Train Epoch: 1 [30080/60000 (50%)]	Loss: 0.188233
Train Epoch: 1 [30720/60000 (51%)]	Loss: 0.363458
Train Epoch: 1 [31360/60000 (52%)]	Loss: 0.182130
Train Epoch: 1 [32000/60000 (53%)]	Loss: 0.151755
Train Epoch: 1 [32640/60000 (54%)]	Loss: 0.069383
Train Epoch: 1 [33280/60000 (55%)]	Loss: 0.110293
Train Epoch: 1 [33920/60000 (57%)]	Loss: 0.091298
Train Epoch: 1 [34560/60000 (58%)]	Loss: 0.186524
Train Epoch: 1 [35200/60000 (59%)]	Loss: 0.062329
Train Epoch: 1 [35840/60000 (60%)]	Loss: 0.148261
Train Epoch: 1 [36480/60000 (61%)]	Loss: 0.199571
Train Epoch: 1 [37120/60000 (62%)]	Loss: 0.166978
Train Epoch: 1 [37760/60000 (63%)]	Loss: 0.038043
Train Epoch: 1 [38400/60000 (64%)]	Loss: 0.076016
Train Epoch: 1 [39040/60000 (65%)]	Loss: 0.052812
Train Epoch: 1 [39680/60000 (66%)]	Loss: 0.403027
Train Epoch: 1 [40320/60000 (67%)]	Loss: 0.126775
Train Epoch: 1 [40960/60000 (68%)]	Loss: 0.104259
Train Epoch: 1 [41600/60000 (69%)]	Loss: 0.127825
Train Epoch: 1 [42240/60000 (70%)]	Loss: 0.077990
Train Epoch: 1 [42880/60000 (71%)]	Loss: 0.029933
Train Epoch: 1 [43520/60000 (72%)]	Loss: 0.074477
Train Epoch: 1 [44160/60000 (74%)]	Loss: 0.068351
Train Epoch: 1 [44800/60000 (75%)]	Loss: 0.065079
Train Epoch: 1 [45440/60000 (76%)]	Loss: 0.252335
Train Epoch: 1 [46080/60000 (77%)]	Loss: 0.026949
Train Epoch: 1 [46720/60000 (78%)]	Loss: 0.032965
Train Epoch: 1 [47360/60000 (79%)]	Loss: 0.122421
Train Epoch: 1 [48000/60000 (80%)]	Loss: 0.099151
Train Epoch: 1 [48640/60000 (81%)]	Loss: 0.378905
Train Epoch: 1 [49280/60000 (82%)]	Loss: 0.075249
Train Epoch: 1 [49920/60000 (83%)]	Loss: 0.111982
Train Epoch: 1 [50560/60000 (84%)]	Loss: 0.112705
Train Epoch: 1 [51200/60000 (85%)]	Loss: 0.172134
Train Epoch: 1 [51840/60000 (86%)]	Loss: 0.148468
Train Epoch: 1 [52480/60000 (87%)]	Loss: 0.203753
Train Epoch: 1 [53120/60000 (88%)]	Loss: 0.061743
Train Epoch: 1 [53760/60000 (90%)]	Loss: 0.087558
Train Epoch: 1 [54400/60000 (91%)]	Loss: 0.036988
Train Epoch: 1 [55040/60000 (92%)]	Loss: 0.152811
Train Epoch: 1 [55680/60000 (93%)]	Loss: 0.169878
Train Epoch: 1 [56320/60000 (94%)]	Loss: 0.231867
Train Epoch: 1 [56960/60000 (95%)]	Loss: 0.111139
Train Epoch: 1 [57600/60000 (96%)]	Loss: 0.071434
Train Epoch: 1 [58240/60000 (97%)]	Loss: 0.095029
Train Epoch: 1 [58880/60000 (98%)]	Loss: 0.064402
Train Epoch: 1 [59520/60000 (99%)]	Loss: 0.033435

Test set: Average loss: 0.0468, Accuracy: 9842/10000 (98%)

Train Epoch: 2 [0/60000 (0%)]	Loss: 0.098867
Train Epoch: 2 [640/60000 (1%)]	Loss: 0.016046
Train Epoch: 2 [1280/60000 (2%)]	Loss: 0.043040
Train Epoch: 2 [1920/60000 (3%)]	Loss: 0.313864
Train Epoch: 2 [2560/60000 (4%)]	Loss: 0.020617
Train Epoch: 2 [3200/60000 (5%)]	Loss: 0.039557
Train Epoch: 2 [3840/60000 (6%)]	Loss: 0.131162
Train Epoch: 2 [4480/60000 (7%)]	Loss: 0.148476
Train Epoch: 2 [5120/60000 (9%)]	Loss: 0.029608
Train Epoch: 2 [5760/60000 (10%)]	Loss: 0.032436
Train Epoch: 2 [6400/60000 (11%)]	Loss: 0.017272
Train Epoch: 2 [7040/60000 (12%)]	Loss: 0.018698
Train Epoch: 2 [7680/60000 (13%)]	Loss: 0.025843
Train Epoch: 2 [8320/60000 (14%)]	Loss: 0.078682
Train Epoch: 2 [8960/60000 (15%)]	Loss: 0.023148
Train Epoch: 2 [9600/60000 (16%)]	Loss: 0.155523
Train Epoch: 2 [10240/60000 (17%)]	Loss: 0.135707
Train Epoch: 2 [10880/60000 (18%)]	Loss: 0.064671
Train Epoch: 2 [11520/60000 (19%)]	Loss: 0.071050
Train Epoch: 2 [12160/60000 (20%)]	Loss: 0.075349
Train Epoch: 2 [12800/60000 (21%)]	Loss: 0.056017
Train Epoch: 2 [13440/60000 (22%)]	Loss: 0.042220
Train Epoch: 2 [14080/60000 (23%)]	Loss: 0.339042
Train Epoch: 2 [14720/60000 (25%)]	Loss: 0.018660
Train Epoch: 2 [15360/60000 (26%)]	Loss: 0.172288
Train Epoch: 2 [16000/60000 (27%)]	Loss: 0.002512
Train Epoch: 2 [16640/60000 (28%)]	Loss: 0.162034
Train Epoch: 2 [17280/60000 (29%)]	Loss: 0.022022
Train Epoch: 2 [17920/60000 (30%)]	Loss: 0.028139
Train Epoch: 2 [18560/60000 (31%)]	Loss: 0.133615
Train Epoch: 2 [19200/60000 (32%)]	Loss: 0.053444
Train Epoch: 2 [19840/60000 (33%)]	Loss: 0.091762
Train Epoch: 2 [20480/60000 (34%)]	Loss: 0.082171
Train Epoch: 2 [21120/60000 (35%)]	Loss: 0.022758
Train Epoch: 2 [21760/60000 (36%)]	Loss: 0.028496
Train Epoch: 2 [22400/60000 (37%)]	Loss: 0.115037
Train Epoch: 2 [23040/60000 (38%)]	Loss: 0.036058
Train Epoch: 2 [23680/60000 (39%)]	Loss: 0.206256
Train Epoch: 2 [24320/60000 (41%)]	Loss: 0.010709
Train Epoch: 2 [24960/60000 (42%)]	Loss: 0.121858
Train Epoch: 2 [25600/60000 (43%)]	Loss: 0.103281
Train Epoch: 2 [26240/60000 (44%)]	Loss: 0.138748
Train Epoch: 2 [26880/60000 (45%)]	Loss: 0.056927
Train Epoch: 2 [27520/60000 (46%)]	Loss: 0.047339
Train Epoch: 2 [28160/60000 (47%)]	Loss: 0.071718
Train Epoch: 2 [28800/60000 (48%)]	Loss: 0.242121
Train Epoch: 2 [29440/60000 (49%)]	Loss: 0.144303
Train Epoch: 2 [30080/60000 (50%)]	Loss: 0.130302
Train Epoch: 2 [30720/60000 (51%)]	Loss: 0.074004
Train Epoch: 2 [31360/60000 (52%)]	Loss: 0.013867
Train Epoch: 2 [32000/60000 (53%)]	Loss: 0.023165
Train Epoch: 2 [32640/60000 (54%)]	Loss: 0.054710
Train Epoch: 2 [33280/60000 (55%)]	Loss: 0.102675
Train Epoch: 2 [33920/60000 (57%)]	Loss: 0.087263
Train Epoch: 2 [34560/60000 (58%)]	Loss: 0.056198
Train Epoch: 2 [35200/60000 (59%)]	Loss: 0.129589
Train Epoch: 2 [35840/60000 (60%)]	Loss: 0.004673
Train Epoch: 2 [36480/60000 (61%)]	Loss: 0.039815
Train Epoch: 2 [37120/60000 (62%)]	Loss: 0.022103
Train Epoch: 2 [37760/60000 (63%)]	Loss: 0.048640
Train Epoch: 2 [38400/60000 (64%)]	Loss: 0.015672
Train Epoch: 2 [39040/60000 (65%)]	Loss: 0.105309
Train Epoch: 2 [39680/60000 (66%)]	Loss: 0.026458
Train Epoch: 2 [40320/60000 (67%)]	Loss: 0.060249
Train Epoch: 2 [40960/60000 (68%)]	Loss: 0.034785
Train Epoch: 2 [41600/60000 (69%)]	Loss: 0.048157
Train Epoch: 2 [42240/60000 (70%)]	Loss: 0.048644
Train Epoch: 2 [42880/60000 (71%)]	Loss: 0.107960
Train Epoch: 2 [43520/60000 (72%)]	Loss: 0.015340
Train Epoch: 2 [44160/60000 (74%)]	Loss: 0.019536
Train Epoch: 2 [44800/60000 (75%)]	Loss: 0.146354
Train Epoch: 2 [45440/60000 (76%)]	Loss: 0.016941
Train Epoch: 2 [46080/60000 (77%)]	Loss: 0.012158
Train Epoch: 2 [46720/60000 (78%)]	Loss: 0.127636
Train Epoch: 2 [47360/60000 (79%)]	Loss: 0.087814
Train Epoch: 2 [48000/60000 (80%)]	Loss: 0.116380
Train Epoch: 2 [48640/60000 (81%)]	Loss: 0.076666
Train Epoch: 2 [49280/60000 (82%)]	Loss: 0.033866
Train Epoch: 2 [49920/60000 (83%)]	Loss: 0.019346
Train Epoch: 2 [50560/60000 (84%)]	Loss: 0.025901
Train Epoch: 2 [51200/60000 (85%)]	Loss: 0.011277
Train Epoch: 2 [51840/60000 (86%)]	Loss: 0.058681
Train Epoch: 2 [52480/60000 (87%)]	Loss: 0.018146
Train Epoch: 2 [53120/60000 (88%)]	Loss: 0.271053
Train Epoch: 2 [53760/60000 (90%)]	Loss: 0.073739
Train Epoch: 2 [54400/60000 (91%)]	Loss: 0.018371
Train Epoch: 2 [55040/60000 (92%)]	Loss: 0.009468
Train Epoch: 2 [55680/60000 (93%)]	Loss: 0.206842
Train Epoch: 2 [56320/60000 (94%)]	Loss: 0.011542
Train Epoch: 2 [56960/60000 (95%)]	Loss: 0.087973
Train Epoch: 2 [57600/60000 (96%)]	Loss: 0.030612
Train Epoch: 2 [58240/60000 (97%)]	Loss: 0.018863
Train Epoch: 2 [58880/60000 (98%)]	Loss: 0.108346
Train Epoch: 2 [59520/60000 (99%)]	Loss: 0.108657

Test set: Average loss: 0.0327, Accuracy: 9894/10000 (99%)

Train Epoch: 3 [0/60000 (0%)]	Loss: 0.022882
Train Epoch: 3 [640/60000 (1%)]	Loss: 0.028097
Train Epoch: 3 [1280/60000 (2%)]	Loss: 0.120847
Train Epoch: 3 [1920/60000 (3%)]	Loss: 0.042224
Train Epoch: 3 [2560/60000 (4%)]	Loss: 0.006220
Train Epoch: 3 [3200/60000 (5%)]	Loss: 0.039154
Train Epoch: 3 [3840/60000 (6%)]	Loss: 0.030395
Train Epoch: 3 [4480/60000 (7%)]	Loss: 0.014846
Train Epoch: 3 [5120/60000 (9%)]	Loss: 0.018263
Train Epoch: 3 [5760/60000 (10%)]	Loss: 0.014566
Train Epoch: 3 [6400/60000 (11%)]	Loss: 0.030940
Train Epoch: 3 [7040/60000 (12%)]	Loss: 0.042690
Train Epoch: 3 [7680/60000 (13%)]	Loss: 0.072279
Train Epoch: 3 [8320/60000 (14%)]	Loss: 0.027105
Train Epoch: 3 [8960/60000 (15%)]	Loss: 0.019415
Train Epoch: 3 [9600/60000 (16%)]	Loss: 0.043227
Train Epoch: 3 [10240/60000 (17%)]	Loss: 0.017548
Train Epoch: 3 [10880/60000 (18%)]	Loss: 0.039063
Train Epoch: 3 [11520/60000 (19%)]	Loss: 0.033632
Train Epoch: 3 [12160/60000 (20%)]	Loss: 0.106344
Train Epoch: 3 [12800/60000 (21%)]	Loss: 0.016849
Train Epoch: 3 [13440/60000 (22%)]	Loss: 0.022186
Train Epoch: 3 [14080/60000 (23%)]	Loss: 0.051879
Train Epoch: 3 [14720/60000 (25%)]	Loss: 0.007079
Train Epoch: 3 [15360/60000 (26%)]	Loss: 0.045126
Train Epoch: 3 [16000/60000 (27%)]	Loss: 0.358418
Train Epoch: 3 [16640/60000 (28%)]	Loss: 0.074818
Train Epoch: 3 [17280/60000 (29%)]	Loss: 0.038155
Train Epoch: 3 [17920/60000 (30%)]	Loss: 0.198282
Train Epoch: 3 [18560/60000 (31%)]	Loss: 0.094821
Train Epoch: 3 [19200/60000 (32%)]	Loss: 0.040049
Train Epoch: 3 [19840/60000 (33%)]	Loss: 0.094007
Train Epoch: 3 [20480/60000 (34%)]	Loss: 0.002177
Train Epoch: 3 [21120/60000 (35%)]	Loss: 0.013544
Train Epoch: 3 [21760/60000 (36%)]	Loss: 0.121386
Train Epoch: 3 [22400/60000 (37%)]	Loss: 0.065782
Train Epoch: 3 [23040/60000 (38%)]	Loss: 0.165358
Train Epoch: 3 [23680/60000 (39%)]	Loss: 0.032041
Train Epoch: 3 [24320/60000 (41%)]	Loss: 0.023615
Train Epoch: 3 [24960/60000 (42%)]	Loss: 0.161311
Train Epoch: 3 [25600/60000 (43%)]	Loss: 0.006081
Train Epoch: 3 [26240/60000 (44%)]	Loss: 0.023877
Train Epoch: 3 [26880/60000 (45%)]	Loss: 0.017388
Train Epoch: 3 [27520/60000 (46%)]	Loss: 0.029921
Train Epoch: 3 [28160/60000 (47%)]	Loss: 0.009739
Train Epoch: 3 [28800/60000 (48%)]	Loss: 0.136689
Train Epoch: 3 [29440/60000 (49%)]	Loss: 0.003183
Train Epoch: 3 [30080/60000 (50%)]	Loss: 0.145565
Train Epoch: 3 [30720/60000 (51%)]	Loss: 0.041990
Train Epoch: 3 [31360/60000 (52%)]	Loss: 0.052278
Train Epoch: 3 [32000/60000 (53%)]	Loss: 0.051263
Train Epoch: 3 [32640/60000 (54%)]	Loss: 0.002557
Train Epoch: 3 [33280/60000 (55%)]	Loss: 0.009526
Train Epoch: 3 [33920/60000 (57%)]	Loss: 0.042024
Train Epoch: 3 [34560/60000 (58%)]	Loss: 0.009683
Train Epoch: 3 [35200/60000 (59%)]	Loss: 0.041791
Train Epoch: 3 [35840/60000 (60%)]	Loss: 0.191860
Train Epoch: 3 [36480/60000 (61%)]	Loss: 0.015964
Train Epoch: 3 [37120/60000 (62%)]	Loss: 0.206614
Train Epoch: 3 [37760/60000 (63%)]	Loss: 0.209864
Train Epoch: 3 [38400/60000 (64%)]	Loss: 0.009309
Train Epoch: 3 [39040/60000 (65%)]	Loss: 0.005261
Train Epoch: 3 [39680/60000 (66%)]	Loss: 0.042755
Train Epoch: 3 [40320/60000 (67%)]	Loss: 0.021976
Train Epoch: 3 [40960/60000 (68%)]	Loss: 0.082195
Train Epoch: 3 [41600/60000 (69%)]	Loss: 0.079003
Train Epoch: 3 [42240/60000 (70%)]	Loss: 0.112196
Train Epoch: 3 [42880/60000 (71%)]	Loss: 0.070356
Train Epoch: 3 [43520/60000 (72%)]	Loss: 0.021791
Train Epoch: 3 [44160/60000 (74%)]	Loss: 0.008564
Train Epoch: 3 [44800/60000 (75%)]	Loss: 0.002360
Train Epoch: 3 [45440/60000 (76%)]	Loss: 0.112144
Train Epoch: 3 [46080/60000 (77%)]	Loss: 0.010404
Train Epoch: 3 [46720/60000 (78%)]	Loss: 0.016637
Train Epoch: 3 [47360/60000 (79%)]	Loss: 0.010023
Train Epoch: 3 [48000/60000 (80%)]	Loss: 0.031773
Train Epoch: 3 [48640/60000 (81%)]	Loss: 0.072869
Train Epoch: 3 [49280/60000 (82%)]	Loss: 0.016470
Train Epoch: 3 [49920/60000 (83%)]	Loss: 0.064764
Train Epoch: 3 [50560/60000 (84%)]	Loss: 0.023056
Train Epoch: 3 [51200/60000 (85%)]	Loss: 0.053878
Train Epoch: 3 [51840/60000 (86%)]	Loss: 0.006651
Train Epoch: 3 [52480/60000 (87%)]	Loss: 0.137499
Train Epoch: 3 [53120/60000 (88%)]	Loss: 0.319370
Train Epoch: 3 [53760/60000 (90%)]	Loss: 0.114683
Train Epoch: 3 [54400/60000 (91%)]	Loss: 0.015647
Train Epoch: 3 [55040/60000 (92%)]	Loss: 0.082075
Train Epoch: 3 [55680/60000 (93%)]	Loss: 0.082847
Train Epoch: 3 [56320/60000 (94%)]	Loss: 0.169349
Train Epoch: 3 [56960/60000 (95%)]	Loss: 0.041835
Train Epoch: 3 [57600/60000 (96%)]	Loss: 0.019249
Train Epoch: 3 [58240/60000 (97%)]	Loss: 0.120587
Train Epoch: 3 [58880/60000 (98%)]	Loss: 0.028439
Train Epoch: 3 [59520/60000 (99%)]	Loss: 0.071316

Test set: Average loss: 0.0346, Accuracy: 9887/10000 (99%)

Train Epoch: 4 [0/60000 (0%)]	Loss: 0.008407
Train Epoch: 4 [640/60000 (1%)]	Loss: 0.031939
Train Epoch: 4 [1280/60000 (2%)]	Loss: 0.099701
Train Epoch: 4 [1920/60000 (3%)]	Loss: 0.004718
Train Epoch: 4 [2560/60000 (4%)]	Loss: 0.033531
Train Epoch: 4 [3200/60000 (5%)]	Loss: 0.134499
Train Epoch: 4 [3840/60000 (6%)]	Loss: 0.011362
Train Epoch: 4 [4480/60000 (7%)]	Loss: 0.001469
Train Epoch: 4 [5120/60000 (9%)]	Loss: 0.056447
Train Epoch: 4 [5760/60000 (10%)]	Loss: 0.010948
Train Epoch: 4 [6400/60000 (11%)]	Loss: 0.005118
Train Epoch: 4 [7040/60000 (12%)]	Loss: 0.093158
Train Epoch: 4 [7680/60000 (13%)]	Loss: 0.003583
Train Epoch: 4 [8320/60000 (14%)]	Loss: 0.037273
Train Epoch: 4 [8960/60000 (15%)]	Loss: 0.065431
Train Epoch: 4 [9600/60000 (16%)]	Loss: 0.014395
Train Epoch: 4 [10240/60000 (17%)]	Loss: 0.041998
Train Epoch: 4 [10880/60000 (18%)]	Loss: 0.062678
Train Epoch: 4 [11520/60000 (19%)]	Loss: 0.025939
Train Epoch: 4 [12160/60000 (20%)]	Loss: 0.074968
Train Epoch: 4 [12800/60000 (21%)]	Loss: 0.079746
Train Epoch: 4 [13440/60000 (22%)]	Loss: 0.067263
Train Epoch: 4 [14080/60000 (23%)]	Loss: 0.090870
Train Epoch: 4 [14720/60000 (25%)]	Loss: 0.027221
Train Epoch: 4 [15360/60000 (26%)]	Loss: 0.004216
Train Epoch: 4 [16000/60000 (27%)]	Loss: 0.002953
Train Epoch: 4 [16640/60000 (28%)]	Loss: 0.001788
Train Epoch: 4 [17280/60000 (29%)]	Loss: 0.031121
Train Epoch: 4 [17920/60000 (30%)]	Loss: 0.029375
Train Epoch: 4 [18560/60000 (31%)]	Loss: 0.062098
Train Epoch: 4 [19200/60000 (32%)]	Loss: 0.055035
Train Epoch: 4 [19840/60000 (33%)]	Loss: 0.006975
Train Epoch: 4 [20480/60000 (34%)]	Loss: 0.056384
Train Epoch: 4 [21120/60000 (35%)]	Loss: 0.014653
Train Epoch: 4 [21760/60000 (36%)]	Loss: 0.061763
Train Epoch: 4 [22400/60000 (37%)]	Loss: 0.056065
Train Epoch: 4 [23040/60000 (38%)]	Loss: 0.084338
Train Epoch: 4 [23680/60000 (39%)]	Loss: 0.050161
Train Epoch: 4 [24320/60000 (41%)]	Loss: 0.007530
Train Epoch: 4 [24960/60000 (42%)]	Loss: 0.140448
Train Epoch: 4 [25600/60000 (43%)]	Loss: 0.077876
Train Epoch: 4 [26240/60000 (44%)]	Loss: 0.050757
Train Epoch: 4 [26880/60000 (45%)]	Loss: 0.020969
Train Epoch: 4 [27520/60000 (46%)]	Loss: 0.098039
Train Epoch: 4 [28160/60000 (47%)]	Loss: 0.047799
Train Epoch: 4 [28800/60000 (48%)]	Loss: 0.027546
Train Epoch: 4 [29440/60000 (49%)]	Loss: 0.038727
Train Epoch: 4 [30080/60000 (50%)]	Loss: 0.053447
Train Epoch: 4 [30720/60000 (51%)]	Loss: 0.150372
Train Epoch: 4 [31360/60000 (52%)]	Loss: 0.011858
Train Epoch: 4 [32000/60000 (53%)]	Loss: 0.029825
Train Epoch: 4 [32640/60000 (54%)]	Loss: 0.014054
Train Epoch: 4 [33280/60000 (55%)]	Loss: 0.054725
Train Epoch: 4 [33920/60000 (57%)]	Loss: 0.099838
Train Epoch: 4 [34560/60000 (58%)]	Loss: 0.044767
Train Epoch: 4 [35200/60000 (59%)]	Loss: 0.075097
Train Epoch: 4 [35840/60000 (60%)]	Loss: 0.001071
Train Epoch: 4 [36480/60000 (61%)]	Loss: 0.084549
Train Epoch: 4 [37120/60000 (62%)]	Loss: 0.002510
Train Epoch: 4 [37760/60000 (63%)]	Loss: 0.016047
Train Epoch: 4 [38400/60000 (64%)]	Loss: 0.013320
Train Epoch: 4 [39040/60000 (65%)]	Loss: 0.027366
Train Epoch: 4 [39680/60000 (66%)]	Loss: 0.012760
Train Epoch: 4 [40320/60000 (67%)]	Loss: 0.020237
Train Epoch: 4 [40960/60000 (68%)]	Loss: 0.014159
Train Epoch: 4 [41600/60000 (69%)]	Loss: 0.012839
Train Epoch: 4 [42240/60000 (70%)]	Loss: 0.004144
Train Epoch: 4 [42880/60000 (71%)]	Loss: 0.076308
Train Epoch: 4 [43520/60000 (72%)]	Loss: 0.023538
Train Epoch: 4 [44160/60000 (74%)]	Loss: 0.005145
Train Epoch: 4 [44800/60000 (75%)]	Loss: 0.003214
Train Epoch: 4 [45440/60000 (76%)]	Loss: 0.048937
Train Epoch: 4 [46080/60000 (77%)]	Loss: 0.050531
Train Epoch: 4 [46720/60000 (78%)]	Loss: 0.013094
Train Epoch: 4 [47360/60000 (79%)]	Loss: 0.100348
Train Epoch: 4 [48000/60000 (80%)]	Loss: 0.023951
Train Epoch: 4 [48640/60000 (81%)]	Loss: 0.007023
Train Epoch: 4 [49280/60000 (82%)]	Loss: 0.018296
Train Epoch: 4 [49920/60000 (83%)]	Loss: 0.006266
Train Epoch: 4 [50560/60000 (84%)]	Loss: 0.004612
Train Epoch: 4 [51200/60000 (85%)]	Loss: 0.008557
Train Epoch: 4 [51840/60000 (86%)]	Loss: 0.010925
Train Epoch: 4 [52480/60000 (87%)]	Loss: 0.028198
Train Epoch: 4 [53120/60000 (88%)]	Loss: 0.002156
Train Epoch: 4 [53760/60000 (90%)]	Loss: 0.005673
Train Epoch: 4 [54400/60000 (91%)]	Loss: 0.016566
Train Epoch: 4 [55040/60000 (92%)]	Loss: 0.034546
Train Epoch: 4 [55680/60000 (93%)]	Loss: 0.040462
Train Epoch: 4 [56320/60000 (94%)]	Loss: 0.020102
Train Epoch: 4 [56960/60000 (95%)]	Loss: 0.018341
Train Epoch: 4 [57600/60000 (96%)]	Loss: 0.067304
Train Epoch: 4 [58240/60000 (97%)]	Loss: 0.009046
Train Epoch: 4 [58880/60000 (98%)]	Loss: 0.031767
Train Epoch: 4 [59520/60000 (99%)]	Loss: 0.091394

Test set: Average loss: 0.0314, Accuracy: 9891/10000 (99%)

Train Epoch: 5 [0/60000 (0%)]	Loss: 0.022091
Train Epoch: 5 [640/60000 (1%)]	Loss: 0.048678
Train Epoch: 5 [1280/60000 (2%)]	Loss: 0.005613
Train Epoch: 5 [1920/60000 (3%)]	Loss: 0.015357
Train Epoch: 5 [2560/60000 (4%)]	Loss: 0.005064
Train Epoch: 5 [3200/60000 (5%)]	Loss: 0.019875
Train Epoch: 5 [3840/60000 (6%)]	Loss: 0.059105
Train Epoch: 5 [4480/60000 (7%)]	Loss: 0.062764
Train Epoch: 5 [5120/60000 (9%)]	Loss: 0.051441
Train Epoch: 5 [5760/60000 (10%)]	Loss: 0.132132
Train Epoch: 5 [6400/60000 (11%)]	Loss: 0.004860
Train Epoch: 5 [7040/60000 (12%)]	Loss: 0.002119
Train Epoch: 5 [7680/60000 (13%)]	Loss: 0.061027
Train Epoch: 5 [8320/60000 (14%)]	Loss: 0.032218
Train Epoch: 5 [8960/60000 (15%)]	Loss: 0.031918
Train Epoch: 5 [9600/60000 (16%)]	Loss: 0.012452
Train Epoch: 5 [10240/60000 (17%)]	Loss: 0.015690
Train Epoch: 5 [10880/60000 (18%)]	Loss: 0.009130
Train Epoch: 5 [11520/60000 (19%)]	Loss: 0.021091
Train Epoch: 5 [12160/60000 (20%)]	Loss: 0.035201
Train Epoch: 5 [12800/60000 (21%)]	Loss: 0.002577
Train Epoch: 5 [13440/60000 (22%)]	Loss: 0.074660
Train Epoch: 5 [14080/60000 (23%)]	Loss: 0.004830
Train Epoch: 5 [14720/60000 (25%)]	Loss: 0.003853
Train Epoch: 5 [15360/60000 (26%)]	Loss: 0.056391
Train Epoch: 5 [16000/60000 (27%)]	Loss: 0.105850
Train Epoch: 5 [16640/60000 (28%)]	Loss: 0.104511
Train Epoch: 5 [17280/60000 (29%)]	Loss: 0.017609
Train Epoch: 5 [17920/60000 (30%)]	Loss: 0.016993
Train Epoch: 5 [18560/60000 (31%)]	Loss: 0.070406
Train Epoch: 5 [19200/60000 (32%)]	Loss: 0.003457
Train Epoch: 5 [19840/60000 (33%)]	Loss: 0.024634
Train Epoch: 5 [20480/60000 (34%)]	Loss: 0.005504
Train Epoch: 5 [21120/60000 (35%)]	Loss: 0.001368
Train Epoch: 5 [21760/60000 (36%)]	Loss: 0.084493
Train Epoch: 5 [22400/60000 (37%)]	Loss: 0.069758
Train Epoch: 5 [23040/60000 (38%)]	Loss: 0.024756
Train Epoch: 5 [23680/60000 (39%)]	Loss: 0.013062
Train Epoch: 5 [24320/60000 (41%)]	Loss: 0.013481
Train Epoch: 5 [24960/60000 (42%)]	Loss: 0.002618
Train Epoch: 5 [25600/60000 (43%)]	Loss: 0.001635
Train Epoch: 5 [26240/60000 (44%)]	Loss: 0.008365
Train Epoch: 5 [26880/60000 (45%)]	Loss: 0.107238
Train Epoch: 5 [27520/60000 (46%)]	Loss: 0.078608
Train Epoch: 5 [28160/60000 (47%)]	Loss: 0.033924
Train Epoch: 5 [28800/60000 (48%)]	Loss: 0.005082
Train Epoch: 5 [29440/60000 (49%)]	Loss: 0.001557
Train Epoch: 5 [30080/60000 (50%)]	Loss: 0.032872
Train Epoch: 5 [30720/60000 (51%)]	Loss: 0.006410
Train Epoch: 5 [31360/60000 (52%)]	Loss: 0.003950
Train Epoch: 5 [32000/60000 (53%)]	Loss: 0.122428
Train Epoch: 5 [32640/60000 (54%)]	Loss: 0.005451
Train Epoch: 5 [33280/60000 (55%)]	Loss: 0.087611
Train Epoch: 5 [33920/60000 (57%)]	Loss: 0.008183
Train Epoch: 5 [34560/60000 (58%)]	Loss: 0.017268
Train Epoch: 5 [35200/60000 (59%)]	Loss: 0.051674
Train Epoch: 5 [35840/60000 (60%)]	Loss: 0.005483
Train Epoch: 5 [36480/60000 (61%)]	Loss: 0.011780
Train Epoch: 5 [37120/60000 (62%)]	Loss: 0.002455
Train Epoch: 5 [37760/60000 (63%)]	Loss: 0.037248
Train Epoch: 5 [38400/60000 (64%)]	Loss: 0.012626
Train Epoch: 5 [39040/60000 (65%)]	Loss: 0.001637
Train Epoch: 5 [39680/60000 (66%)]	Loss: 0.003857
Train Epoch: 5 [40320/60000 (67%)]	Loss: 0.014694
Train Epoch: 5 [40960/60000 (68%)]	Loss: 0.011823
Train Epoch: 5 [41600/60000 (69%)]	Loss: 0.023203
Train Epoch: 5 [42240/60000 (70%)]	Loss: 0.094934
Train Epoch: 5 [42880/60000 (71%)]	Loss: 0.104745
Train Epoch: 5 [43520/60000 (72%)]	Loss: 0.072731
Train Epoch: 5 [44160/60000 (74%)]	Loss: 0.013583
Train Epoch: 5 [44800/60000 (75%)]	Loss: 0.009248
Train Epoch: 5 [45440/60000 (76%)]	Loss: 0.010705
Train Epoch: 5 [46080/60000 (77%)]	Loss: 0.002903
Train Epoch: 5 [46720/60000 (78%)]	Loss: 0.045575
Train Epoch: 5 [47360/60000 (79%)]	Loss: 0.005767
Train Epoch: 5 [48000/60000 (80%)]	Loss: 0.038579
Train Epoch: 5 [48640/60000 (81%)]	Loss: 0.035163
Train Epoch: 5 [49280/60000 (82%)]	Loss: 0.023074
Train Epoch: 5 [49920/60000 (83%)]	Loss: 0.135970
Train Epoch: 5 [50560/60000 (84%)]	Loss: 0.022406
Train Epoch: 5 [51200/60000 (85%)]	Loss: 0.048519
Train Epoch: 5 [51840/60000 (86%)]	Loss: 0.000703
Train Epoch: 5 [52480/60000 (87%)]	Loss: 0.026479
Train Epoch: 5 [53120/60000 (88%)]	Loss: 0.028874
Train Epoch: 5 [53760/60000 (90%)]	Loss: 0.015441
Train Epoch: 5 [54400/60000 (91%)]	Loss: 0.011746
Train Epoch: 5 [55040/60000 (92%)]	Loss: 0.001877
Train Epoch: 5 [55680/60000 (93%)]	Loss: 0.012146
Train Epoch: 5 [56320/60000 (94%)]	Loss: 0.001800
Train Epoch: 5 [56960/60000 (95%)]	Loss: 0.066398
Train Epoch: 5 [57600/60000 (96%)]	Loss: 0.008923
Train Epoch: 5 [58240/60000 (97%)]	Loss: 0.034066
Train Epoch: 5 [58880/60000 (98%)]	Loss: 0.001625
Train Epoch: 5 [59520/60000 (99%)]	Loss: 0.019097

Test set: Average loss: 0.0301, Accuracy: 9903/10000 (99%)

Train Epoch: 6 [0/60000 (0%)]	Loss: 0.090801
Train Epoch: 6 [640/60000 (1%)]	Loss: 0.033555
Train Epoch: 6 [1280/60000 (2%)]	Loss: 0.439760
Train Epoch: 6 [1920/60000 (3%)]	Loss: 0.103052
Train Epoch: 6 [2560/60000 (4%)]	Loss: 0.011762
Train Epoch: 6 [3200/60000 (5%)]	Loss: 0.102168
Train Epoch: 6 [3840/60000 (6%)]	Loss: 0.037039
Train Epoch: 6 [4480/60000 (7%)]	Loss: 0.009615
Train Epoch: 6 [5120/60000 (9%)]	Loss: 0.002068
Train Epoch: 6 [5760/60000 (10%)]	Loss: 0.010570
Train Epoch: 6 [6400/60000 (11%)]	Loss: 0.003708
Train Epoch: 6 [7040/60000 (12%)]	Loss: 0.014806
Train Epoch: 6 [7680/60000 (13%)]	Loss: 0.009191
Train Epoch: 6 [8320/60000 (14%)]	Loss: 0.023548
Train Epoch: 6 [8960/60000 (15%)]	Loss: 0.101270
Train Epoch: 6 [9600/60000 (16%)]	Loss: 0.027609
Train Epoch: 6 [10240/60000 (17%)]	Loss: 0.018316
Train Epoch: 6 [10880/60000 (18%)]	Loss: 0.020577
Train Epoch: 6 [11520/60000 (19%)]	Loss: 0.009658
Train Epoch: 6 [12160/60000 (20%)]	Loss: 0.002954
Train Epoch: 6 [12800/60000 (21%)]	Loss: 0.057309
Train Epoch: 6 [13440/60000 (22%)]	Loss: 0.022833
Train Epoch: 6 [14080/60000 (23%)]	Loss: 0.078888
Train Epoch: 6 [14720/60000 (25%)]	Loss: 0.015510
Train Epoch: 6 [15360/60000 (26%)]	Loss: 0.031542
Train Epoch: 6 [16000/60000 (27%)]	Loss: 0.068814
Train Epoch: 6 [16640/60000 (28%)]	Loss: 0.002027
Train Epoch: 6 [17280/60000 (29%)]	Loss: 0.001926
Train Epoch: 6 [17920/60000 (30%)]	Loss: 0.144099
Train Epoch: 6 [18560/60000 (31%)]	Loss: 0.015844
Train Epoch: 6 [19200/60000 (32%)]	Loss: 0.122083
Train Epoch: 6 [19840/60000 (33%)]	Loss: 0.006009
Train Epoch: 6 [20480/60000 (34%)]	Loss: 0.077651
Train Epoch: 6 [21120/60000 (35%)]	Loss: 0.000884
Train Epoch: 6 [21760/60000 (36%)]	Loss: 0.009134
Train Epoch: 6 [22400/60000 (37%)]	Loss: 0.001426
Train Epoch: 6 [23040/60000 (38%)]	Loss: 0.016289
Train Epoch: 6 [23680/60000 (39%)]	Loss: 0.020723
Train Epoch: 6 [24320/60000 (41%)]	Loss: 0.025957
Train Epoch: 6 [24960/60000 (42%)]	Loss: 0.029750
Train Epoch: 6 [25600/60000 (43%)]	Loss: 0.001225
Train Epoch: 6 [26240/60000 (44%)]	Loss: 0.041270
Train Epoch: 6 [26880/60000 (45%)]	Loss: 0.030623
Train Epoch: 6 [27520/60000 (46%)]	Loss: 0.017854
Train Epoch: 6 [28160/60000 (47%)]	Loss: 0.004297
Train Epoch: 6 [28800/60000 (48%)]	Loss: 0.032657
Train Epoch: 6 [29440/60000 (49%)]	Loss: 0.017225
Train Epoch: 6 [30080/60000 (50%)]	Loss: 0.162298
Train Epoch: 6 [30720/60000 (51%)]	Loss: 0.023453
Train Epoch: 6 [31360/60000 (52%)]	Loss: 0.045152
Train Epoch: 6 [32000/60000 (53%)]	Loss: 0.006505
Train Epoch: 6 [32640/60000 (54%)]	Loss: 0.190520
Train Epoch: 6 [33280/60000 (55%)]	Loss: 0.054322
Train Epoch: 6 [33920/60000 (57%)]	Loss: 0.004740
Train Epoch: 6 [34560/60000 (58%)]	Loss: 0.042053
Train Epoch: 6 [35200/60000 (59%)]	Loss: 0.043090
Train Epoch: 6 [35840/60000 (60%)]	Loss: 0.016566
Train Epoch: 6 [36480/60000 (61%)]	Loss: 0.030952
Train Epoch: 6 [37120/60000 (62%)]	Loss: 0.010542
Train Epoch: 6 [37760/60000 (63%)]	Loss: 0.003724
Train Epoch: 6 [38400/60000 (64%)]	Loss: 0.036308
Train Epoch: 6 [39040/60000 (65%)]	Loss: 0.063783
Train Epoch: 6 [39680/60000 (66%)]	Loss: 0.056425
Train Epoch: 6 [40320/60000 (67%)]	Loss: 0.011995
Train Epoch: 6 [40960/60000 (68%)]	Loss: 0.019017
Train Epoch: 6 [41600/60000 (69%)]	Loss: 0.132612
Train Epoch: 6 [42240/60000 (70%)]	Loss: 0.039273
Train Epoch: 6 [42880/60000 (71%)]	Loss: 0.087006
Train Epoch: 6 [43520/60000 (72%)]	Loss: 0.002392
Train Epoch: 6 [44160/60000 (74%)]	Loss: 0.044073
Train Epoch: 6 [44800/60000 (75%)]	Loss: 0.005267
Train Epoch: 6 [45440/60000 (76%)]	Loss: 0.021347
Train Epoch: 6 [46080/60000 (77%)]	Loss: 0.168589
Train Epoch: 6 [46720/60000 (78%)]	Loss: 0.005007
Train Epoch: 6 [47360/60000 (79%)]	Loss: 0.030855
Train Epoch: 6 [48000/60000 (80%)]	Loss: 0.002457
Train Epoch: 6 [48640/60000 (81%)]	Loss: 0.021023
Train Epoch: 6 [49280/60000 (82%)]	Loss: 0.052044
Train Epoch: 6 [49920/60000 (83%)]	Loss: 0.057701
Train Epoch: 6 [50560/60000 (84%)]	Loss: 0.011525
Train Epoch: 6 [51200/60000 (85%)]	Loss: 0.033680
Train Epoch: 6 [51840/60000 (86%)]	Loss: 0.013828
Train Epoch: 6 [52480/60000 (87%)]	Loss: 0.002869
Train Epoch: 6 [53120/60000 (88%)]	Loss: 0.020491
Train Epoch: 6 [53760/60000 (90%)]	Loss: 0.008832
Train Epoch: 6 [54400/60000 (91%)]	Loss: 0.034430
Train Epoch: 6 [55040/60000 (92%)]	Loss: 0.064415
Train Epoch: 6 [55680/60000 (93%)]	Loss: 0.061114
Train Epoch: 6 [56320/60000 (94%)]	Loss: 0.002607
Train Epoch: 6 [56960/60000 (95%)]	Loss: 0.043026
Train Epoch: 6 [57600/60000 (96%)]	Loss: 0.042717
Train Epoch: 6 [58240/60000 (97%)]	Loss: 0.024698
Train Epoch: 6 [58880/60000 (98%)]	Loss: 0.026317
Train Epoch: 6 [59520/60000 (99%)]	Loss: 0.021074

Test set: Average loss: 0.0301, Accuracy: 9913/10000 (99%)

Train Epoch: 7 [0/60000 (0%)]	Loss: 0.016867
Train Epoch: 7 [640/60000 (1%)]	Loss: 0.233560
Train Epoch: 7 [1280/60000 (2%)]	Loss: 0.011795
Train Epoch: 7 [1920/60000 (3%)]	Loss: 0.018418
Train Epoch: 7 [2560/60000 (4%)]	Loss: 0.028697
Train Epoch: 7 [3200/60000 (5%)]	Loss: 0.093258
Train Epoch: 7 [3840/60000 (6%)]	Loss: 0.031157
Train Epoch: 7 [4480/60000 (7%)]	Loss: 0.001474
Train Epoch: 7 [5120/60000 (9%)]	Loss: 0.044677
Train Epoch: 7 [5760/60000 (10%)]	Loss: 0.062028
Train Epoch: 7 [6400/60000 (11%)]	Loss: 0.002700
Train Epoch: 7 [7040/60000 (12%)]	Loss: 0.000573
Train Epoch: 7 [7680/60000 (13%)]	Loss: 0.002642
Train Epoch: 7 [8320/60000 (14%)]	Loss: 0.052482
Train Epoch: 7 [8960/60000 (15%)]	Loss: 0.002420
Train Epoch: 7 [9600/60000 (16%)]	Loss: 0.002331
Train Epoch: 7 [10240/60000 (17%)]	Loss: 0.004526
Train Epoch: 7 [10880/60000 (18%)]	Loss: 0.006114
Train Epoch: 7 [11520/60000 (19%)]	Loss: 0.013460
Train Epoch: 7 [12160/60000 (20%)]	Loss: 0.077388
Train Epoch: 7 [12800/60000 (21%)]	Loss: 0.006081
Train Epoch: 7 [13440/60000 (22%)]	Loss: 0.001002
Train Epoch: 7 [14080/60000 (23%)]	Loss: 0.075758
Train Epoch: 7 [14720/60000 (25%)]	Loss: 0.011768
Train Epoch: 7 [15360/60000 (26%)]	Loss: 0.001282
Train Epoch: 7 [16000/60000 (27%)]	Loss: 0.001085
Train Epoch: 7 [16640/60000 (28%)]	Loss: 0.000961
Train Epoch: 7 [17280/60000 (29%)]	Loss: 0.011485
Train Epoch: 7 [17920/60000 (30%)]	Loss: 0.173183
Train Epoch: 7 [18560/60000 (31%)]	Loss: 0.009929
Train Epoch: 7 [19200/60000 (32%)]	Loss: 0.025313
Train Epoch: 7 [19840/60000 (33%)]	Loss: 0.002809
Train Epoch: 7 [20480/60000 (34%)]	Loss: 0.000712
Train Epoch: 7 [21120/60000 (35%)]	Loss: 0.003430
Train Epoch: 7 [21760/60000 (36%)]	Loss: 0.012532
Train Epoch: 7 [22400/60000 (37%)]	Loss: 0.004146
Train Epoch: 7 [23040/60000 (38%)]	Loss: 0.018229
Train Epoch: 7 [23680/60000 (39%)]	Loss: 0.004426
Train Epoch: 7 [24320/60000 (41%)]	Loss: 0.036158
Train Epoch: 7 [24960/60000 (42%)]	Loss: 0.050463
Train Epoch: 7 [25600/60000 (43%)]	Loss: 0.091186
Train Epoch: 7 [26240/60000 (44%)]	Loss: 0.026546
Train Epoch: 7 [26880/60000 (45%)]	Loss: 0.002313
Train Epoch: 7 [27520/60000 (46%)]	Loss: 0.000409
Train Epoch: 7 [28160/60000 (47%)]	Loss: 0.010873
Train Epoch: 7 [28800/60000 (48%)]	Loss: 0.034146
Train Epoch: 7 [29440/60000 (49%)]	Loss: 0.004694
Train Epoch: 7 [30080/60000 (50%)]	Loss: 0.122330
Train Epoch: 7 [30720/60000 (51%)]	Loss: 0.039479
Train Epoch: 7 [31360/60000 (52%)]	Loss: 0.004384
Train Epoch: 7 [32000/60000 (53%)]	Loss: 0.024587
Train Epoch: 7 [32640/60000 (54%)]	Loss: 0.055526
Train Epoch: 7 [33280/60000 (55%)]	Loss: 0.039334
Train Epoch: 7 [33920/60000 (57%)]	Loss: 0.006630
Train Epoch: 7 [34560/60000 (58%)]	Loss: 0.000593
Train Epoch: 7 [35200/60000 (59%)]	Loss: 0.001103
Train Epoch: 7 [35840/60000 (60%)]	Loss: 0.003817
Train Epoch: 7 [36480/60000 (61%)]	Loss: 0.003110
Train Epoch: 7 [37120/60000 (62%)]	Loss: 0.008275
Train Epoch: 7 [37760/60000 (63%)]	Loss: 0.055738
Train Epoch: 7 [38400/60000 (64%)]	Loss: 0.027220
Train Epoch: 7 [39040/60000 (65%)]	Loss: 0.052201
Train Epoch: 7 [39680/60000 (66%)]	Loss: 0.013491
Train Epoch: 7 [40320/60000 (67%)]	Loss: 0.027207
Train Epoch: 7 [40960/60000 (68%)]	Loss: 0.022537
Train Epoch: 7 [41600/60000 (69%)]	Loss: 0.034106
Train Epoch: 7 [42240/60000 (70%)]	Loss: 0.000872
Train Epoch: 7 [42880/60000 (71%)]	Loss: 0.001633
Train Epoch: 7 [43520/60000 (72%)]	Loss: 0.042486
Train Epoch: 7 [44160/60000 (74%)]	Loss: 0.011615
Train Epoch: 7 [44800/60000 (75%)]	Loss: 0.103627
Train Epoch: 7 [45440/60000 (76%)]	Loss: 0.074750
Train Epoch: 7 [46080/60000 (77%)]	Loss: 0.007844
Train Epoch: 7 [46720/60000 (78%)]	Loss: 0.006293
Train Epoch: 7 [47360/60000 (79%)]	Loss: 0.016370
Train Epoch: 7 [48000/60000 (80%)]	Loss: 0.006925
Train Epoch: 7 [48640/60000 (81%)]	Loss: 0.056000
Train Epoch: 7 [49280/60000 (82%)]	Loss: 0.100421
Train Epoch: 7 [49920/60000 (83%)]	Loss: 0.007368
Train Epoch: 7 [50560/60000 (84%)]	Loss: 0.004113
Train Epoch: 7 [51200/60000 (85%)]	Loss: 0.027729
Train Epoch: 7 [51840/60000 (86%)]	Loss: 0.023314
Train Epoch: 7 [52480/60000 (87%)]	Loss: 0.038576
Train Epoch: 7 [53120/60000 (88%)]	Loss: 0.002148
Train Epoch: 7 [53760/60000 (90%)]	Loss: 0.000560
Train Epoch: 7 [54400/60000 (91%)]	Loss: 0.008141
Train Epoch: 7 [55040/60000 (92%)]	Loss: 0.081651
Train Epoch: 7 [55680/60000 (93%)]	Loss: 0.069104
Train Epoch: 7 [56320/60000 (94%)]	Loss: 0.008171
Train Epoch: 7 [56960/60000 (95%)]	Loss: 0.033684
Train Epoch: 7 [57600/60000 (96%)]	Loss: 0.012230
Train Epoch: 7 [58240/60000 (97%)]	Loss: 0.004799
Train Epoch: 7 [58880/60000 (98%)]	Loss: 0.122717
Train Epoch: 7 [59520/60000 (99%)]	Loss: 0.122979

Test set: Average loss: 0.0293, Accuracy: 9918/10000 (99%)

Train Epoch: 8 [0/60000 (0%)]	Loss: 0.035070
Train Epoch: 8 [640/60000 (1%)]	Loss: 0.007317
Train Epoch: 8 [1280/60000 (2%)]	Loss: 0.006152
Train Epoch: 8 [1920/60000 (3%)]	Loss: 0.026213
Train Epoch: 8 [2560/60000 (4%)]	Loss: 0.025280
Train Epoch: 8 [3200/60000 (5%)]	Loss: 0.014551
Train Epoch: 8 [3840/60000 (6%)]	Loss: 0.005018
Train Epoch: 8 [4480/60000 (7%)]	Loss: 0.000496
Train Epoch: 8 [5120/60000 (9%)]	Loss: 0.003582
Train Epoch: 8 [5760/60000 (10%)]	Loss: 0.005723
Train Epoch: 8 [6400/60000 (11%)]	Loss: 0.066038
Train Epoch: 8 [7040/60000 (12%)]	Loss: 0.056773
Train Epoch: 8 [7680/60000 (13%)]	Loss: 0.000923
Train Epoch: 8 [8320/60000 (14%)]	Loss: 0.097494
Train Epoch: 8 [8960/60000 (15%)]	Loss: 0.004550
Train Epoch: 8 [9600/60000 (16%)]	Loss: 0.004989
Train Epoch: 8 [10240/60000 (17%)]	Loss: 0.037439
Train Epoch: 8 [10880/60000 (18%)]	Loss: 0.017320
Train Epoch: 8 [11520/60000 (19%)]	Loss: 0.004635
Train Epoch: 8 [12160/60000 (20%)]	Loss: 0.001845
Train Epoch: 8 [12800/60000 (21%)]	Loss: 0.056548
Train Epoch: 8 [13440/60000 (22%)]	Loss: 0.067419
Train Epoch: 8 [14080/60000 (23%)]	Loss: 0.019012
Train Epoch: 8 [14720/60000 (25%)]	Loss: 0.003157
Train Epoch: 8 [15360/60000 (26%)]	Loss: 0.005689
Train Epoch: 8 [16000/60000 (27%)]	Loss: 0.003386
Train Epoch: 8 [16640/60000 (28%)]	Loss: 0.002981
Train Epoch: 8 [17280/60000 (29%)]	Loss: 0.018355
Train Epoch: 8 [17920/60000 (30%)]	Loss: 0.052744
Train Epoch: 8 [18560/60000 (31%)]	Loss: 0.001522
Train Epoch: 8 [19200/60000 (32%)]	Loss: 0.009516
Train Epoch: 8 [19840/60000 (33%)]	Loss: 0.003808
Train Epoch: 8 [20480/60000 (34%)]	Loss: 0.010022
Train Epoch: 8 [21120/60000 (35%)]	Loss: 0.016114
Train Epoch: 8 [21760/60000 (36%)]	Loss: 0.005137
Train Epoch: 8 [22400/60000 (37%)]	Loss: 0.011041
Train Epoch: 8 [23040/60000 (38%)]	Loss: 0.057942
Train Epoch: 8 [23680/60000 (39%)]	Loss: 0.003300
Train Epoch: 8 [24320/60000 (41%)]	Loss: 0.127463
Train Epoch: 8 [24960/60000 (42%)]	Loss: 0.063921
Train Epoch: 8 [25600/60000 (43%)]	Loss: 0.010636
Train Epoch: 8 [26240/60000 (44%)]	Loss: 0.019606
Train Epoch: 8 [26880/60000 (45%)]	Loss: 0.119966
Train Epoch: 8 [27520/60000 (46%)]	Loss: 0.229841
Train Epoch: 8 [28160/60000 (47%)]	Loss: 0.087094
Train Epoch: 8 [28800/60000 (48%)]	Loss: 0.013779
Train Epoch: 8 [29440/60000 (49%)]	Loss: 0.030084
Train Epoch: 8 [30080/60000 (50%)]	Loss: 0.019769
Train Epoch: 8 [30720/60000 (51%)]	Loss: 0.063942
Train Epoch: 8 [31360/60000 (52%)]	Loss: 0.022692
Train Epoch: 8 [32000/60000 (53%)]	Loss: 0.001015
Train Epoch: 8 [32640/60000 (54%)]	Loss: 0.030192
Train Epoch: 8 [33280/60000 (55%)]	Loss: 0.041737
Train Epoch: 8 [33920/60000 (57%)]	Loss: 0.094796
Train Epoch: 8 [34560/60000 (58%)]	Loss: 0.021032
Train Epoch: 8 [35200/60000 (59%)]	Loss: 0.015428
Train Epoch: 8 [35840/60000 (60%)]	Loss: 0.023261
Train Epoch: 8 [36480/60000 (61%)]	Loss: 0.001940
Train Epoch: 8 [37120/60000 (62%)]	Loss: 0.061628
Train Epoch: 8 [37760/60000 (63%)]	Loss: 0.027227
Train Epoch: 8 [38400/60000 (64%)]	Loss: 0.000917
Train Epoch: 8 [39040/60000 (65%)]	Loss: 0.004356
Train Epoch: 8 [39680/60000 (66%)]	Loss: 0.235389
Train Epoch: 8 [40320/60000 (67%)]	Loss: 0.006759
Train Epoch: 8 [40960/60000 (68%)]	Loss: 0.134440
Train Epoch: 8 [41600/60000 (69%)]	Loss: 0.020821
Train Epoch: 8 [42240/60000 (70%)]	Loss: 0.348996
Train Epoch: 8 [42880/60000 (71%)]	Loss: 0.004040
Train Epoch: 8 [43520/60000 (72%)]	Loss: 0.035142
Train Epoch: 8 [44160/60000 (74%)]	Loss: 0.042467
Train Epoch: 8 [44800/60000 (75%)]	Loss: 0.001027
Train Epoch: 8 [45440/60000 (76%)]	Loss: 0.030444
Train Epoch: 8 [46080/60000 (77%)]	Loss: 0.012882
Train Epoch: 8 [46720/60000 (78%)]	Loss: 0.000657
Train Epoch: 8 [47360/60000 (79%)]	Loss: 0.011420
Train Epoch: 8 [48000/60000 (80%)]	Loss: 0.007255
Train Epoch: 8 [48640/60000 (81%)]	Loss: 0.020359
Train Epoch: 8 [49280/60000 (82%)]	Loss: 0.029955
Train Epoch: 8 [49920/60000 (83%)]	Loss: 0.002346
Train Epoch: 8 [50560/60000 (84%)]	Loss: 0.024275
Train Epoch: 8 [51200/60000 (85%)]	Loss: 0.007797
Train Epoch: 8 [51840/60000 (86%)]	Loss: 0.029028
Train Epoch: 8 [52480/60000 (87%)]	Loss: 0.004660
Train Epoch: 8 [53120/60000 (88%)]	Loss: 0.003916
Train Epoch: 8 [53760/60000 (90%)]	Loss: 0.152063
Train Epoch: 8 [54400/60000 (91%)]	Loss: 0.008650
Train Epoch: 8 [55040/60000 (92%)]	Loss: 0.004486
Train Epoch: 8 [55680/60000 (93%)]	Loss: 0.010126
Train Epoch: 8 [56320/60000 (94%)]	Loss: 0.003296
Train Epoch: 8 [56960/60000 (95%)]	Loss: 0.013547
Train Epoch: 8 [57600/60000 (96%)]	Loss: 0.002848
Train Epoch: 8 [58240/60000 (97%)]	Loss: 0.009109
Train Epoch: 8 [58880/60000 (98%)]	Loss: 0.066531
Train Epoch: 8 [59520/60000 (99%)]	Loss: 0.017118

Test set: Average loss: 0.0295, Accuracy: 9919/10000 (99%)

Train Epoch: 9 [0/60000 (0%)]	Loss: 0.012584
Train Epoch: 9 [640/60000 (1%)]	Loss: 0.006809
Train Epoch: 9 [1280/60000 (2%)]	Loss: 0.004009
Train Epoch: 9 [1920/60000 (3%)]	Loss: 0.011214
Train Epoch: 9 [2560/60000 (4%)]	Loss: 0.004316
Train Epoch: 9 [3200/60000 (5%)]	Loss: 0.004035
Train Epoch: 9 [3840/60000 (6%)]	Loss: 0.010042
Train Epoch: 9 [4480/60000 (7%)]	Loss: 0.000893
Train Epoch: 9 [5120/60000 (9%)]	Loss: 0.005824
Train Epoch: 9 [5760/60000 (10%)]	Loss: 0.071583
Train Epoch: 9 [6400/60000 (11%)]	Loss: 0.033910
Train Epoch: 9 [7040/60000 (12%)]	Loss: 0.005601
Train Epoch: 9 [7680/60000 (13%)]	Loss: 0.000930
Train Epoch: 9 [8320/60000 (14%)]	Loss: 0.001330
Train Epoch: 9 [8960/60000 (15%)]	Loss: 0.086655
Train Epoch: 9 [9600/60000 (16%)]	Loss: 0.019751
Train Epoch: 9 [10240/60000 (17%)]	Loss: 0.005682
Train Epoch: 9 [10880/60000 (18%)]	Loss: 0.013673
Train Epoch: 9 [11520/60000 (19%)]	Loss: 0.007122
Train Epoch: 9 [12160/60000 (20%)]	Loss: 0.010750
Train Epoch: 9 [12800/60000 (21%)]	Loss: 0.050755
Train Epoch: 9 [13440/60000 (22%)]	Loss: 0.141471
Train Epoch: 9 [14080/60000 (23%)]	Loss: 0.039283
Train Epoch: 9 [14720/60000 (25%)]	Loss: 0.001294
Train Epoch: 9 [15360/60000 (26%)]	Loss: 0.008144
Train Epoch: 9 [16000/60000 (27%)]	Loss: 0.009466
Train Epoch: 9 [16640/60000 (28%)]	Loss: 0.013323
Train Epoch: 9 [17280/60000 (29%)]	Loss: 0.008412
Train Epoch: 9 [17920/60000 (30%)]	Loss: 0.014453
Train Epoch: 9 [18560/60000 (31%)]	Loss: 0.144118
Train Epoch: 9 [19200/60000 (32%)]	Loss: 0.005577
Train Epoch: 9 [19840/60000 (33%)]	Loss: 0.054600
Train Epoch: 9 [20480/60000 (34%)]	Loss: 0.002935
Train Epoch: 9 [21120/60000 (35%)]	Loss: 0.007041
Train Epoch: 9 [21760/60000 (36%)]	Loss: 0.040137
Train Epoch: 9 [22400/60000 (37%)]	Loss: 0.015451
Train Epoch: 9 [23040/60000 (38%)]	Loss: 0.050685
Train Epoch: 9 [23680/60000 (39%)]	Loss: 0.003072
Train Epoch: 9 [24320/60000 (41%)]	Loss: 0.088555
Train Epoch: 9 [24960/60000 (42%)]	Loss: 0.008924
Train Epoch: 9 [25600/60000 (43%)]	Loss: 0.011435
Train Epoch: 9 [26240/60000 (44%)]	Loss: 0.018032
Train Epoch: 9 [26880/60000 (45%)]	Loss: 0.007230
Train Epoch: 9 [27520/60000 (46%)]	Loss: 0.077213
Train Epoch: 9 [28160/60000 (47%)]	Loss: 0.001346
Train Epoch: 9 [28800/60000 (48%)]	Loss: 0.016745
Train Epoch: 9 [29440/60000 (49%)]	Loss: 0.014747
Train Epoch: 9 [30080/60000 (50%)]	Loss: 0.024906
Train Epoch: 9 [30720/60000 (51%)]	Loss: 0.002198
Train Epoch: 9 [31360/60000 (52%)]	Loss: 0.000556
Train Epoch: 9 [32000/60000 (53%)]	Loss: 0.014758
Train Epoch: 9 [32640/60000 (54%)]	Loss: 0.012066
Train Epoch: 9 [33280/60000 (55%)]	Loss: 0.035039
Train Epoch: 9 [33920/60000 (57%)]	Loss: 0.007442
Train Epoch: 9 [34560/60000 (58%)]	Loss: 0.005188
Train Epoch: 9 [35200/60000 (59%)]	Loss: 0.008545
Train Epoch: 9 [35840/60000 (60%)]	Loss: 0.110845
Train Epoch: 9 [36480/60000 (61%)]	Loss: 0.003315
Train Epoch: 9 [37120/60000 (62%)]	Loss: 0.005569
Train Epoch: 9 [37760/60000 (63%)]	Loss: 0.024257
Train Epoch: 9 [38400/60000 (64%)]	Loss: 0.056166
Train Epoch: 9 [39040/60000 (65%)]	Loss: 0.003741
Train Epoch: 9 [39680/60000 (66%)]	Loss: 0.003303
Train Epoch: 9 [40320/60000 (67%)]	Loss: 0.018012
Train Epoch: 9 [40960/60000 (68%)]	Loss: 0.001070
Train Epoch: 9 [41600/60000 (69%)]	Loss: 0.007024
Train Epoch: 9 [42240/60000 (70%)]	Loss: 0.038708
Train Epoch: 9 [42880/60000 (71%)]	Loss: 0.040735
Train Epoch: 9 [43520/60000 (72%)]	Loss: 0.003726
Train Epoch: 9 [44160/60000 (74%)]	Loss: 0.021268
Train Epoch: 9 [44800/60000 (75%)]	Loss: 0.003155
Train Epoch: 9 [45440/60000 (76%)]	Loss: 0.145313
Train Epoch: 9 [46080/60000 (77%)]	Loss: 0.006873
Train Epoch: 9 [46720/60000 (78%)]	Loss: 0.006571
Train Epoch: 9 [47360/60000 (79%)]	Loss: 0.027982
Train Epoch: 9 [48000/60000 (80%)]	Loss: 0.000589
Train Epoch: 9 [48640/60000 (81%)]	Loss: 0.125267
Train Epoch: 9 [49280/60000 (82%)]	Loss: 0.004182
Train Epoch: 9 [49920/60000 (83%)]	Loss: 0.317422
Train Epoch: 9 [50560/60000 (84%)]	Loss: 0.074155
Train Epoch: 9 [51200/60000 (85%)]	Loss: 0.009637
Train Epoch: 9 [51840/60000 (86%)]	Loss: 0.010610
Train Epoch: 9 [52480/60000 (87%)]	Loss: 0.041062
Train Epoch: 9 [53120/60000 (88%)]	Loss: 0.080224
Train Epoch: 9 [53760/60000 (90%)]	Loss: 0.023502
Train Epoch: 9 [54400/60000 (91%)]	Loss: 0.041943
Train Epoch: 9 [55040/60000 (92%)]	Loss: 0.001433
Train Epoch: 9 [55680/60000 (93%)]	Loss: 0.010853
Train Epoch: 9 [56320/60000 (94%)]	Loss: 0.041237
Train Epoch: 9 [56960/60000 (95%)]	Loss: 0.003219
Train Epoch: 9 [57600/60000 (96%)]	Loss: 0.119756
Train Epoch: 9 [58240/60000 (97%)]	Loss: 0.004703
Train Epoch: 9 [58880/60000 (98%)]	Loss: 0.001371
Train Epoch: 9 [59520/60000 (99%)]	Loss: 0.002016

Test set: Average loss: 0.0296, Accuracy: 9915/10000 (99%)

Train Epoch: 10 [0/60000 (0%)]	Loss: 0.056181
Train Epoch: 10 [640/60000 (1%)]	Loss: 0.002069
Train Epoch: 10 [1280/60000 (2%)]	Loss: 0.043533
Train Epoch: 10 [1920/60000 (3%)]	Loss: 0.018463
Train Epoch: 10 [2560/60000 (4%)]	Loss: 0.103002
Train Epoch: 10 [3200/60000 (5%)]	Loss: 0.010308
Train Epoch: 10 [3840/60000 (6%)]	Loss: 0.115973
Train Epoch: 10 [4480/60000 (7%)]	Loss: 0.007433
Train Epoch: 10 [5120/60000 (9%)]	Loss: 0.001269
Train Epoch: 10 [5760/60000 (10%)]	Loss: 0.025816
Train Epoch: 10 [6400/60000 (11%)]	Loss: 0.021212
Train Epoch: 10 [7040/60000 (12%)]	Loss: 0.006492
Train Epoch: 10 [7680/60000 (13%)]	Loss: 0.039860
Train Epoch: 10 [8320/60000 (14%)]	Loss: 0.089315
Train Epoch: 10 [8960/60000 (15%)]	Loss: 0.008775
Train Epoch: 10 [9600/60000 (16%)]	Loss: 0.014480
Train Epoch: 10 [10240/60000 (17%)]	Loss: 0.053949
Train Epoch: 10 [10880/60000 (18%)]	Loss: 0.019439
Train Epoch: 10 [11520/60000 (19%)]	Loss: 0.001026
Train Epoch: 10 [12160/60000 (20%)]	Loss: 0.001503
Train Epoch: 10 [12800/60000 (21%)]	Loss: 0.020343
Train Epoch: 10 [13440/60000 (22%)]	Loss: 0.017613
Train Epoch: 10 [14080/60000 (23%)]	Loss: 0.005359
Train Epoch: 10 [14720/60000 (25%)]	Loss: 0.020776
Train Epoch: 10 [15360/60000 (26%)]	Loss: 0.002679
Train Epoch: 10 [16000/60000 (27%)]	Loss: 0.057774
Train Epoch: 10 [16640/60000 (28%)]	Loss: 0.079858
Train Epoch: 10 [17280/60000 (29%)]	Loss: 0.000527
Train Epoch: 10 [17920/60000 (30%)]	Loss: 0.069154
Train Epoch: 10 [18560/60000 (31%)]	Loss: 0.019968
Train Epoch: 10 [19200/60000 (32%)]	Loss: 0.001969
Train Epoch: 10 [19840/60000 (33%)]	Loss: 0.014363
Train Epoch: 10 [20480/60000 (34%)]	Loss: 0.033664
Train Epoch: 10 [21120/60000 (35%)]	Loss: 0.008843
Train Epoch: 10 [21760/60000 (36%)]	Loss: 0.027394
Train Epoch: 10 [22400/60000 (37%)]	Loss: 0.020244
Train Epoch: 10 [23040/60000 (38%)]	Loss: 0.002434
Train Epoch: 10 [23680/60000 (39%)]	Loss: 0.058492
Train Epoch: 10 [24320/60000 (41%)]	Loss: 0.004103
Train Epoch: 10 [24960/60000 (42%)]	Loss: 0.083291
Train Epoch: 10 [25600/60000 (43%)]	Loss: 0.000956
Train Epoch: 10 [26240/60000 (44%)]	Loss: 0.020408
Train Epoch: 10 [26880/60000 (45%)]	Loss: 0.020511
Train Epoch: 10 [27520/60000 (46%)]	Loss: 0.003792
Train Epoch: 10 [28160/60000 (47%)]	Loss: 0.002630
Train Epoch: 10 [28800/60000 (48%)]	Loss: 0.052686
Train Epoch: 10 [29440/60000 (49%)]	Loss: 0.047499
Train Epoch: 10 [30080/60000 (50%)]	Loss: 0.050226
Train Epoch: 10 [30720/60000 (51%)]	Loss: 0.031536
Train Epoch: 10 [31360/60000 (52%)]	Loss: 0.004183
Train Epoch: 10 [32000/60000 (53%)]	Loss: 0.001643
Train Epoch: 10 [32640/60000 (54%)]	Loss: 0.000975
Train Epoch: 10 [33280/60000 (55%)]	Loss: 0.005998
Train Epoch: 10 [33920/60000 (57%)]	Loss: 0.001829
Train Epoch: 10 [34560/60000 (58%)]	Loss: 0.006838
Train Epoch: 10 [35200/60000 (59%)]	Loss: 0.012345
Train Epoch: 10 [35840/60000 (60%)]	Loss: 0.065059
Train Epoch: 10 [36480/60000 (61%)]	Loss: 0.200735
Train Epoch: 10 [37120/60000 (62%)]	Loss: 0.003297
Train Epoch: 10 [37760/60000 (63%)]	Loss: 0.018178
Train Epoch: 10 [38400/60000 (64%)]	Loss: 0.006860
Train Epoch: 10 [39040/60000 (65%)]	Loss: 0.013941
Train Epoch: 10 [39680/60000 (66%)]	Loss: 0.038700
Train Epoch: 10 [40320/60000 (67%)]	Loss: 0.006067
Train Epoch: 10 [40960/60000 (68%)]	Loss: 0.000209
Train Epoch: 10 [41600/60000 (69%)]	Loss: 0.002935
Train Epoch: 10 [42240/60000 (70%)]	Loss: 0.003745
Train Epoch: 10 [42880/60000 (71%)]	Loss: 0.030583
Train Epoch: 10 [43520/60000 (72%)]	Loss: 0.115467
Train Epoch: 10 [44160/60000 (74%)]	Loss: 0.009762
Train Epoch: 10 [44800/60000 (75%)]	Loss: 0.011994
Train Epoch: 10 [45440/60000 (76%)]	Loss: 0.010489
Train Epoch: 10 [46080/60000 (77%)]	Loss: 0.042643
Train Epoch: 10 [46720/60000 (78%)]	Loss: 0.166568
Train Epoch: 10 [47360/60000 (79%)]	Loss: 0.016172
Train Epoch: 10 [48000/60000 (80%)]	Loss: 0.001067
Train Epoch: 10 [48640/60000 (81%)]	Loss: 0.009010
Train Epoch: 10 [49280/60000 (82%)]	Loss: 0.001015
Train Epoch: 10 [49920/60000 (83%)]	Loss: 0.013199
Train Epoch: 10 [50560/60000 (84%)]	Loss: 0.001183
Train Epoch: 10 [51200/60000 (85%)]	Loss: 0.002746
Train Epoch: 10 [51840/60000 (86%)]	Loss: 0.004785
Train Epoch: 10 [52480/60000 (87%)]	Loss: 0.015355
Train Epoch: 10 [53120/60000 (88%)]	Loss: 0.010316
Train Epoch: 10 [53760/60000 (90%)]	Loss: 0.001033
Train Epoch: 10 [54400/60000 (91%)]	Loss: 0.008621
Train Epoch: 10 [55040/60000 (92%)]	Loss: 0.005122
Train Epoch: 10 [55680/60000 (93%)]	Loss: 0.000485
Train Epoch: 10 [56320/60000 (94%)]	Loss: 0.058317
Train Epoch: 10 [56960/60000 (95%)]	Loss: 0.000892
Train Epoch: 10 [57600/60000 (96%)]	Loss: 0.030096
Train Epoch: 10 [58240/60000 (97%)]	Loss: 0.009150
Train Epoch: 10 [58880/60000 (98%)]	Loss: 0.003341
Train Epoch: 10 [59520/60000 (99%)]	Loss: 0.011406

Test set: Average loss: 0.0277, Accuracy: 9919/10000 (99%)

Train Epoch: 11 [0/60000 (0%)]	Loss: 0.000593
Train Epoch: 11 [640/60000 (1%)]	Loss: 0.043384
Train Epoch: 11 [1280/60000 (2%)]	Loss: 0.003146
Train Epoch: 11 [1920/60000 (3%)]	Loss: 0.000130
Train Epoch: 11 [2560/60000 (4%)]	Loss: 0.009118
Train Epoch: 11 [3200/60000 (5%)]	Loss: 0.056813
Train Epoch: 11 [3840/60000 (6%)]	Loss: 0.000216
Train Epoch: 11 [4480/60000 (7%)]	Loss: 0.007535
Train Epoch: 11 [5120/60000 (9%)]	Loss: 0.010126
Train Epoch: 11 [5760/60000 (10%)]	Loss: 0.025819
Train Epoch: 11 [6400/60000 (11%)]	Loss: 0.026355
Train Epoch: 11 [7040/60000 (12%)]	Loss: 0.005650
Train Epoch: 11 [7680/60000 (13%)]	Loss: 0.005000
Train Epoch: 11 [8320/60000 (14%)]	Loss: 0.009479
Train Epoch: 11 [8960/60000 (15%)]	Loss: 0.027178
Train Epoch: 11 [9600/60000 (16%)]	Loss: 0.003374
Train Epoch: 11 [10240/60000 (17%)]	Loss: 0.057882
Train Epoch: 11 [10880/60000 (18%)]	Loss: 0.004707
Train Epoch: 11 [11520/60000 (19%)]	Loss: 0.046688
Train Epoch: 11 [12160/60000 (20%)]	Loss: 0.017776
Train Epoch: 11 [12800/60000 (21%)]	Loss: 0.034808
Train Epoch: 11 [13440/60000 (22%)]	Loss: 0.006263
Train Epoch: 11 [14080/60000 (23%)]	Loss: 0.001598
Train Epoch: 11 [14720/60000 (25%)]	Loss: 0.129228
Train Epoch: 11 [15360/60000 (26%)]	Loss: 0.025580
Train Epoch: 11 [16000/60000 (27%)]	Loss: 0.012010
Train Epoch: 11 [16640/60000 (28%)]	Loss: 0.073353
Train Epoch: 11 [17280/60000 (29%)]	Loss: 0.007952
Train Epoch: 11 [17920/60000 (30%)]	Loss: 0.013587
Train Epoch: 11 [18560/60000 (31%)]	Loss: 0.061963
Train Epoch: 11 [19200/60000 (32%)]	Loss: 0.008359
Train Epoch: 11 [19840/60000 (33%)]	Loss: 0.015793
Train Epoch: 11 [20480/60000 (34%)]	Loss: 0.035706
Train Epoch: 11 [21120/60000 (35%)]	Loss: 0.022395
Train Epoch: 11 [21760/60000 (36%)]	Loss: 0.011846
Train Epoch: 11 [22400/60000 (37%)]	Loss: 0.015101
Train Epoch: 11 [23040/60000 (38%)]	Loss: 0.001276
Train Epoch: 11 [23680/60000 (39%)]	Loss: 0.008719
Train Epoch: 11 [24320/60000 (41%)]	Loss: 0.014295
Train Epoch: 11 [24960/60000 (42%)]	Loss: 0.016015
Train Epoch: 11 [25600/60000 (43%)]	Loss: 0.020381
Train Epoch: 11 [26240/60000 (44%)]	Loss: 0.060914
Train Epoch: 11 [26880/60000 (45%)]	Loss: 0.020531
Train Epoch: 11 [27520/60000 (46%)]	Loss: 0.014250
Train Epoch: 11 [28160/60000 (47%)]	Loss: 0.014871
Train Epoch: 11 [28800/60000 (48%)]	Loss: 0.001203
Train Epoch: 11 [29440/60000 (49%)]	Loss: 0.006271
Train Epoch: 11 [30080/60000 (50%)]	Loss: 0.058603
Train Epoch: 11 [30720/60000 (51%)]	Loss: 0.005033
Train Epoch: 11 [31360/60000 (52%)]	Loss: 0.000569
Train Epoch: 11 [32000/60000 (53%)]	Loss: 0.022632
Train Epoch: 11 [32640/60000 (54%)]	Loss: 0.009641
Train Epoch: 11 [33280/60000 (55%)]	Loss: 0.004830
Train Epoch: 11 [33920/60000 (57%)]	Loss: 0.002217
Train Epoch: 11 [34560/60000 (58%)]	Loss: 0.011036
Train Epoch: 11 [35200/60000 (59%)]	Loss: 0.003999
Train Epoch: 11 [35840/60000 (60%)]	Loss: 0.005565
Train Epoch: 11 [36480/60000 (61%)]	Loss: 0.018286
Train Epoch: 11 [37120/60000 (62%)]	Loss: 0.012771
Train Epoch: 11 [37760/60000 (63%)]	Loss: 0.185816
Train Epoch: 11 [38400/60000 (64%)]	Loss: 0.005208
Train Epoch: 11 [39040/60000 (65%)]	Loss: 0.001830
Train Epoch: 11 [39680/60000 (66%)]	Loss: 0.001000
Train Epoch: 11 [40320/60000 (67%)]	Loss: 0.004984
Train Epoch: 11 [40960/60000 (68%)]	Loss: 0.039296
Train Epoch: 11 [41600/60000 (69%)]	Loss: 0.004861
Train Epoch: 11 [42240/60000 (70%)]	Loss: 0.009508
Train Epoch: 11 [42880/60000 (71%)]	Loss: 0.002333
Train Epoch: 11 [43520/60000 (72%)]	Loss: 0.045632
Train Epoch: 11 [44160/60000 (74%)]	Loss: 0.001620
Train Epoch: 11 [44800/60000 (75%)]	Loss: 0.006934
Train Epoch: 11 [45440/60000 (76%)]	Loss: 0.061945
Train Epoch: 11 [46080/60000 (77%)]	Loss: 0.086353
Train Epoch: 11 [46720/60000 (78%)]	Loss: 0.002514
Train Epoch: 11 [47360/60000 (79%)]	Loss: 0.029821
Train Epoch: 11 [48000/60000 (80%)]	Loss: 0.060746
Train Epoch: 11 [48640/60000 (81%)]	Loss: 0.003346
Train Epoch: 11 [49280/60000 (82%)]	Loss: 0.028999
Train Epoch: 11 [49920/60000 (83%)]	Loss: 0.062836
Train Epoch: 11 [50560/60000 (84%)]	Loss: 0.005609
Train Epoch: 11 [51200/60000 (85%)]	Loss: 0.002948
Train Epoch: 11 [51840/60000 (86%)]	Loss: 0.016746
Train Epoch: 11 [52480/60000 (87%)]	Loss: 0.005621
Train Epoch: 11 [53120/60000 (88%)]	Loss: 0.006510
Train Epoch: 11 [53760/60000 (90%)]	Loss: 0.000829
Train Epoch: 11 [54400/60000 (91%)]	Loss: 0.040286
Train Epoch: 11 [55040/60000 (92%)]	Loss: 0.016390
Train Epoch: 11 [55680/60000 (93%)]	Loss: 0.001216
Train Epoch: 11 [56320/60000 (94%)]	Loss: 0.010502
Train Epoch: 11 [56960/60000 (95%)]	Loss: 0.011762
Train Epoch: 11 [57600/60000 (96%)]	Loss: 0.008269
Train Epoch: 11 [58240/60000 (97%)]	Loss: 0.007529
Train Epoch: 11 [58880/60000 (98%)]	Loss: 0.018019
Train Epoch: 11 [59520/60000 (99%)]	Loss: 0.001193

Test set: Average loss: 0.0284, Accuracy: 9922/10000 (99%)

Train Epoch: 12 [0/60000 (0%)]	Loss: 0.016675
Train Epoch: 12 [640/60000 (1%)]	Loss: 0.001786
Train Epoch: 12 [1280/60000 (2%)]	Loss: 0.004774
Train Epoch: 12 [1920/60000 (3%)]	Loss: 0.071688
Train Epoch: 12 [2560/60000 (4%)]	Loss: 0.002125
Train Epoch: 12 [3200/60000 (5%)]	Loss: 0.000352
Train Epoch: 12 [3840/60000 (6%)]	Loss: 0.001039
Train Epoch: 12 [4480/60000 (7%)]	Loss: 0.015717
Train Epoch: 12 [5120/60000 (9%)]	Loss: 0.004032
Train Epoch: 12 [5760/60000 (10%)]	Loss: 0.109115
Train Epoch: 12 [6400/60000 (11%)]	Loss: 0.014490
Train Epoch: 12 [7040/60000 (12%)]	Loss: 0.012637
Train Epoch: 12 [7680/60000 (13%)]	Loss: 0.007062
Train Epoch: 12 [8320/60000 (14%)]	Loss: 0.011865
Train Epoch: 12 [8960/60000 (15%)]	Loss: 0.009453
Train Epoch: 12 [9600/60000 (16%)]	Loss: 0.031029
Train Epoch: 12 [10240/60000 (17%)]	Loss: 0.035112
Train Epoch: 12 [10880/60000 (18%)]	Loss: 0.041236
Train Epoch: 12 [11520/60000 (19%)]	Loss: 0.054817
Train Epoch: 12 [12160/60000 (20%)]	Loss: 0.035805
Train Epoch: 12 [12800/60000 (21%)]	Loss: 0.002837
Train Epoch: 12 [13440/60000 (22%)]	Loss: 0.006138
Train Epoch: 12 [14080/60000 (23%)]	Loss: 0.030197
Train Epoch: 12 [14720/60000 (25%)]	Loss: 0.012797
Train Epoch: 12 [15360/60000 (26%)]	Loss: 0.003928
Train Epoch: 12 [16000/60000 (27%)]	Loss: 0.003016
Train Epoch: 12 [16640/60000 (28%)]	Loss: 0.018381
Train Epoch: 12 [17280/60000 (29%)]	Loss: 0.039957
Train Epoch: 12 [17920/60000 (30%)]	Loss: 0.000334
Train Epoch: 12 [18560/60000 (31%)]	Loss: 0.011439
Train Epoch: 12 [19200/60000 (32%)]	Loss: 0.001251
Train Epoch: 12 [19840/60000 (33%)]	Loss: 0.010116
Train Epoch: 12 [20480/60000 (34%)]	Loss: 0.016088
Train Epoch: 12 [21120/60000 (35%)]	Loss: 0.019889
Train Epoch: 12 [21760/60000 (36%)]	Loss: 0.000846
Train Epoch: 12 [22400/60000 (37%)]	Loss: 0.039785
Train Epoch: 12 [23040/60000 (38%)]	Loss: 0.022628
Train Epoch: 12 [23680/60000 (39%)]	Loss: 0.019307
Train Epoch: 12 [24320/60000 (41%)]	Loss: 0.015078
Train Epoch: 12 [24960/60000 (42%)]	Loss: 0.002686
Train Epoch: 12 [25600/60000 (43%)]	Loss: 0.018956
Train Epoch: 12 [26240/60000 (44%)]	Loss: 0.017518
Train Epoch: 12 [26880/60000 (45%)]	Loss: 0.085636
Train Epoch: 12 [27520/60000 (46%)]	Loss: 0.004518
Train Epoch: 12 [28160/60000 (47%)]	Loss: 0.007465
Train Epoch: 12 [28800/60000 (48%)]	Loss: 0.001950
Train Epoch: 12 [29440/60000 (49%)]	Loss: 0.007736
Train Epoch: 12 [30080/60000 (50%)]	Loss: 0.008926
Train Epoch: 12 [30720/60000 (51%)]	Loss: 0.017461
Train Epoch: 12 [31360/60000 (52%)]	Loss: 0.013797
Train Epoch: 12 [32000/60000 (53%)]	Loss: 0.025050
Train Epoch: 12 [32640/60000 (54%)]	Loss: 0.001119
Train Epoch: 12 [33280/60000 (55%)]	Loss: 0.051629
Train Epoch: 12 [33920/60000 (57%)]	Loss: 0.000753
Train Epoch: 12 [34560/60000 (58%)]	Loss: 0.003852
Train Epoch: 12 [35200/60000 (59%)]	Loss: 0.023500
Train Epoch: 12 [35840/60000 (60%)]	Loss: 0.016262
Train Epoch: 12 [36480/60000 (61%)]	Loss: 0.007433
Train Epoch: 12 [37120/60000 (62%)]	Loss: 0.001387
Train Epoch: 12 [37760/60000 (63%)]	Loss: 0.023976
Train Epoch: 12 [38400/60000 (64%)]	Loss: 0.001265
Train Epoch: 12 [39040/60000 (65%)]	Loss: 0.000651
Train Epoch: 12 [39680/60000 (66%)]	Loss: 0.002889
Train Epoch: 12 [40320/60000 (67%)]	Loss: 0.003529
Train Epoch: 12 [40960/60000 (68%)]	Loss: 0.043983
Train Epoch: 12 [41600/60000 (69%)]	Loss: 0.006686
Train Epoch: 12 [42240/60000 (70%)]	Loss: 0.025536
Train Epoch: 12 [42880/60000 (71%)]	Loss: 0.013041
Train Epoch: 12 [43520/60000 (72%)]	Loss: 0.001287
Train Epoch: 12 [44160/60000 (74%)]	Loss: 0.008475
Train Epoch: 12 [44800/60000 (75%)]	Loss: 0.001444
Train Epoch: 12 [45440/60000 (76%)]	Loss: 0.005764
Train Epoch: 12 [46080/60000 (77%)]	Loss: 0.001744
Train Epoch: 12 [46720/60000 (78%)]	Loss: 0.001179
Train Epoch: 12 [47360/60000 (79%)]	Loss: 0.011809
Train Epoch: 12 [48000/60000 (80%)]	Loss: 0.015908
Train Epoch: 12 [48640/60000 (81%)]	Loss: 0.064568
Train Epoch: 12 [49280/60000 (82%)]	Loss: 0.000683
Train Epoch: 12 [49920/60000 (83%)]	Loss: 0.000691
Train Epoch: 12 [50560/60000 (84%)]	Loss: 0.008458
Train Epoch: 12 [51200/60000 (85%)]	Loss: 0.120236
Train Epoch: 12 [51840/60000 (86%)]	Loss: 0.004842
Train Epoch: 12 [52480/60000 (87%)]	Loss: 0.049730
Train Epoch: 12 [53120/60000 (88%)]	Loss: 0.021864
Train Epoch: 12 [53760/60000 (90%)]	Loss: 0.001720
Train Epoch: 12 [54400/60000 (91%)]	Loss: 0.017874
Train Epoch: 12 [55040/60000 (92%)]	Loss: 0.043959
Train Epoch: 12 [55680/60000 (93%)]	Loss: 0.016494
Train Epoch: 12 [56320/60000 (94%)]	Loss: 0.076825
Train Epoch: 12 [56960/60000 (95%)]	Loss: 0.004068
Train Epoch: 12 [57600/60000 (96%)]	Loss: 0.089448
Train Epoch: 12 [58240/60000 (97%)]	Loss: 0.001549
Train Epoch: 12 [58880/60000 (98%)]	Loss: 0.007440
Train Epoch: 12 [59520/60000 (99%)]	Loss: 0.015008

Test set: Average loss: 0.0272, Accuracy: 9922/10000 (99%)

Train Epoch: 13 [0/60000 (0%)]	Loss: 0.009133
Train Epoch: 13 [640/60000 (1%)]	Loss: 0.014654
Train Epoch: 13 [1280/60000 (2%)]	Loss: 0.044296
Train Epoch: 13 [1920/60000 (3%)]	Loss: 0.013872
Train Epoch: 13 [2560/60000 (4%)]	Loss: 0.019500
Train Epoch: 13 [3200/60000 (5%)]	Loss: 0.001239
Train Epoch: 13 [3840/60000 (6%)]	Loss: 0.035024
Train Epoch: 13 [4480/60000 (7%)]	Loss: 0.005410
Train Epoch: 13 [5120/60000 (9%)]	Loss: 0.078590
Train Epoch: 13 [5760/60000 (10%)]	Loss: 0.052857
Train Epoch: 13 [6400/60000 (11%)]	Loss: 0.006955
Train Epoch: 13 [7040/60000 (12%)]	Loss: 0.156518
Train Epoch: 13 [7680/60000 (13%)]	Loss: 0.062682
Train Epoch: 13 [8320/60000 (14%)]	Loss: 0.001894
Train Epoch: 13 [8960/60000 (15%)]	Loss: 0.008511
Train Epoch: 13 [9600/60000 (16%)]	Loss: 0.018701
Train Epoch: 13 [10240/60000 (17%)]	Loss: 0.015343
Train Epoch: 13 [10880/60000 (18%)]	Loss: 0.032061
Train Epoch: 13 [11520/60000 (19%)]	Loss: 0.000575
Train Epoch: 13 [12160/60000 (20%)]	Loss: 0.002106
Train Epoch: 13 [12800/60000 (21%)]	Loss: 0.052991
Train Epoch: 13 [13440/60000 (22%)]	Loss: 0.024693
Train Epoch: 13 [14080/60000 (23%)]	Loss: 0.027757
Train Epoch: 13 [14720/60000 (25%)]	Loss: 0.002175
Train Epoch: 13 [15360/60000 (26%)]	Loss: 0.008121
Train Epoch: 13 [16000/60000 (27%)]	Loss: 0.032616
Train Epoch: 13 [16640/60000 (28%)]	Loss: 0.006458
Train Epoch: 13 [17280/60000 (29%)]	Loss: 0.002225
Train Epoch: 13 [17920/60000 (30%)]	Loss: 0.130567
Train Epoch: 13 [18560/60000 (31%)]	Loss: 0.001771
Train Epoch: 13 [19200/60000 (32%)]	Loss: 0.004002
Train Epoch: 13 [19840/60000 (33%)]	Loss: 0.007082
Train Epoch: 13 [20480/60000 (34%)]	Loss: 0.021943
Train Epoch: 13 [21120/60000 (35%)]	Loss: 0.009394
Train Epoch: 13 [21760/60000 (36%)]	Loss: 0.000755
Train Epoch: 13 [22400/60000 (37%)]	Loss: 0.028490
Train Epoch: 13 [23040/60000 (38%)]	Loss: 0.016538
Train Epoch: 13 [23680/60000 (39%)]	Loss: 0.002539
Train Epoch: 13 [24320/60000 (41%)]	Loss: 0.021823
Train Epoch: 13 [24960/60000 (42%)]	Loss: 0.006032
Train Epoch: 13 [25600/60000 (43%)]	Loss: 0.005881
Train Epoch: 13 [26240/60000 (44%)]	Loss: 0.002907
Train Epoch: 13 [26880/60000 (45%)]	Loss: 0.002120
Train Epoch: 13 [27520/60000 (46%)]	Loss: 0.239549
Train Epoch: 13 [28160/60000 (47%)]	Loss: 0.025126
Train Epoch: 13 [28800/60000 (48%)]	Loss: 0.189698
Train Epoch: 13 [29440/60000 (49%)]	Loss: 0.142537
Train Epoch: 13 [30080/60000 (50%)]	Loss: 0.037917
Train Epoch: 13 [30720/60000 (51%)]	Loss: 0.050988
Train Epoch: 13 [31360/60000 (52%)]	Loss: 0.006792
Train Epoch: 13 [32000/60000 (53%)]	Loss: 0.020693
Train Epoch: 13 [32640/60000 (54%)]	Loss: 0.037578
Train Epoch: 13 [33280/60000 (55%)]	Loss: 0.004907
Train Epoch: 13 [33920/60000 (57%)]	Loss: 0.005894
Train Epoch: 13 [34560/60000 (58%)]	Loss: 0.005513
Train Epoch: 13 [35200/60000 (59%)]	Loss: 0.075655
Train Epoch: 13 [35840/60000 (60%)]	Loss: 0.022250
Train Epoch: 13 [36480/60000 (61%)]	Loss: 0.013708
Train Epoch: 13 [37120/60000 (62%)]	Loss: 0.001019
Train Epoch: 13 [37760/60000 (63%)]	Loss: 0.047803
Train Epoch: 13 [38400/60000 (64%)]	Loss: 0.001946
Train Epoch: 13 [39040/60000 (65%)]	Loss: 0.035529
Train Epoch: 13 [39680/60000 (66%)]	Loss: 0.029166
Train Epoch: 13 [40320/60000 (67%)]	Loss: 0.176542
Train Epoch: 13 [40960/60000 (68%)]	Loss: 0.043647
Train Epoch: 13 [41600/60000 (69%)]	Loss: 0.012467
Train Epoch: 13 [42240/60000 (70%)]	Loss: 0.096134
Train Epoch: 13 [42880/60000 (71%)]	Loss: 0.040544
Train Epoch: 13 [43520/60000 (72%)]	Loss: 0.006290
Train Epoch: 13 [44160/60000 (74%)]	Loss: 0.052833
Train Epoch: 13 [44800/60000 (75%)]	Loss: 0.004536
Train Epoch: 13 [45440/60000 (76%)]	Loss: 0.019260
Train Epoch: 13 [46080/60000 (77%)]	Loss: 0.005127
Train Epoch: 13 [46720/60000 (78%)]	Loss: 0.001484
Train Epoch: 13 [47360/60000 (79%)]	Loss: 0.125845
Train Epoch: 13 [48000/60000 (80%)]	Loss: 0.001882
Train Epoch: 13 [48640/60000 (81%)]	Loss: 0.002998
Train Epoch: 13 [49280/60000 (82%)]	Loss: 0.001365
Train Epoch: 13 [49920/60000 (83%)]	Loss: 0.028820
Train Epoch: 13 [50560/60000 (84%)]	Loss: 0.001647
Train Epoch: 13 [51200/60000 (85%)]	Loss: 0.009329
Train Epoch: 13 [51840/60000 (86%)]	Loss: 0.082852
Train Epoch: 13 [52480/60000 (87%)]	Loss: 0.105239
Train Epoch: 13 [53120/60000 (88%)]	Loss: 0.136758
Train Epoch: 13 [53760/60000 (90%)]	Loss: 0.033755
Train Epoch: 13 [54400/60000 (91%)]	Loss: 0.022105
Train Epoch: 13 [55040/60000 (92%)]	Loss: 0.073848
Train Epoch: 13 [55680/60000 (93%)]	Loss: 0.000227
Train Epoch: 13 [56320/60000 (94%)]	Loss: 0.008824
Train Epoch: 13 [56960/60000 (95%)]	Loss: 0.005148
Train Epoch: 13 [57600/60000 (96%)]	Loss: 0.001983
Train Epoch: 13 [58240/60000 (97%)]	Loss: 0.001235
Train Epoch: 13 [58880/60000 (98%)]	Loss: 0.042049
Train Epoch: 13 [59520/60000 (99%)]	Loss: 0.006511

Test set: Average loss: 0.0278, Accuracy: 9921/10000 (99%)

Train Epoch: 14 [0/60000 (0%)]	Loss: 0.001039
Train Epoch: 14 [640/60000 (1%)]	Loss: 0.064020
Train Epoch: 14 [1280/60000 (2%)]	Loss: 0.011125
Train Epoch: 14 [1920/60000 (3%)]	Loss: 0.039798
Train Epoch: 14 [2560/60000 (4%)]	Loss: 0.001350
Train Epoch: 14 [3200/60000 (5%)]	Loss: 0.110488
Train Epoch: 14 [3840/60000 (6%)]	Loss: 0.036118
Train Epoch: 14 [4480/60000 (7%)]	Loss: 0.002350
Train Epoch: 14 [5120/60000 (9%)]	Loss: 0.046530
Train Epoch: 14 [5760/60000 (10%)]	Loss: 0.135784
Train Epoch: 14 [6400/60000 (11%)]	Loss: 0.011171
Train Epoch: 14 [7040/60000 (12%)]	Loss: 0.022617
Train Epoch: 14 [7680/60000 (13%)]	Loss: 0.002571
Train Epoch: 14 [8320/60000 (14%)]	Loss: 0.014186
Train Epoch: 14 [8960/60000 (15%)]	Loss: 0.016894
Train Epoch: 14 [9600/60000 (16%)]	Loss: 0.005577
Train Epoch: 14 [10240/60000 (17%)]	Loss: 0.005853
Train Epoch: 14 [10880/60000 (18%)]	Loss: 0.001551
Train Epoch: 14 [11520/60000 (19%)]	Loss: 0.000652
Train Epoch: 14 [12160/60000 (20%)]	Loss: 0.076838
Train Epoch: 14 [12800/60000 (21%)]	Loss: 0.029645
Train Epoch: 14 [13440/60000 (22%)]	Loss: 0.049573
Train Epoch: 14 [14080/60000 (23%)]	Loss: 0.030001
Train Epoch: 14 [14720/60000 (25%)]	Loss: 0.020968
Train Epoch: 14 [15360/60000 (26%)]	Loss: 0.001760
Train Epoch: 14 [16000/60000 (27%)]	Loss: 0.003014
Train Epoch: 14 [16640/60000 (28%)]	Loss: 0.008989
Train Epoch: 14 [17280/60000 (29%)]	Loss: 0.006632
Train Epoch: 14 [17920/60000 (30%)]	Loss: 0.000785
Train Epoch: 14 [18560/60000 (31%)]	Loss: 0.002094
Train Epoch: 14 [19200/60000 (32%)]	Loss: 0.005162
Train Epoch: 14 [19840/60000 (33%)]	Loss: 0.043395
Train Epoch: 14 [20480/60000 (34%)]	Loss: 0.004209
Train Epoch: 14 [21120/60000 (35%)]	Loss: 0.011840
Train Epoch: 14 [21760/60000 (36%)]	Loss: 0.004660
Train Epoch: 14 [22400/60000 (37%)]	Loss: 0.004283
Train Epoch: 14 [23040/60000 (38%)]	Loss: 0.177595
Train Epoch: 14 [23680/60000 (39%)]	Loss: 0.018470
Train Epoch: 14 [24320/60000 (41%)]	Loss: 0.033760
Train Epoch: 14 [24960/60000 (42%)]	Loss: 0.024814
Train Epoch: 14 [25600/60000 (43%)]	Loss: 0.037129
Train Epoch: 14 [26240/60000 (44%)]	Loss: 0.043648
Train Epoch: 14 [26880/60000 (45%)]	Loss: 0.001284
Train Epoch: 14 [27520/60000 (46%)]	Loss: 0.011594
Train Epoch: 14 [28160/60000 (47%)]	Loss: 0.012053
Train Epoch: 14 [28800/60000 (48%)]	Loss: 0.004222
Train Epoch: 14 [29440/60000 (49%)]	Loss: 0.002434
Train Epoch: 14 [30080/60000 (50%)]	Loss: 0.031354
Train Epoch: 14 [30720/60000 (51%)]	Loss: 0.016027
Train Epoch: 14 [31360/60000 (52%)]	Loss: 0.003507
Train Epoch: 14 [32000/60000 (53%)]	Loss: 0.014188
Train Epoch: 14 [32640/60000 (54%)]	Loss: 0.031386
Train Epoch: 14 [33280/60000 (55%)]	Loss: 0.007061
Train Epoch: 14 [33920/60000 (57%)]	Loss: 0.008180
Train Epoch: 14 [34560/60000 (58%)]	Loss: 0.035247
Train Epoch: 14 [35200/60000 (59%)]	Loss: 0.014828
Train Epoch: 14 [35840/60000 (60%)]	Loss: 0.005616
Train Epoch: 14 [36480/60000 (61%)]	Loss: 0.050102
Train Epoch: 14 [37120/60000 (62%)]	Loss: 0.003889
Train Epoch: 14 [37760/60000 (63%)]	Loss: 0.013325
Train Epoch: 14 [38400/60000 (64%)]	Loss: 0.008027
Train Epoch: 14 [39040/60000 (65%)]	Loss: 0.011858
Train Epoch: 14 [39680/60000 (66%)]	Loss: 0.022649
Train Epoch: 14 [40320/60000 (67%)]	Loss: 0.007935
Train Epoch: 14 [40960/60000 (68%)]	Loss: 0.010423
Train Epoch: 14 [41600/60000 (69%)]	Loss: 0.010725
Train Epoch: 14 [42240/60000 (70%)]	Loss: 0.006449
Train Epoch: 14 [42880/60000 (71%)]	Loss: 0.002087
Train Epoch: 14 [43520/60000 (72%)]	Loss: 0.026790
Train Epoch: 14 [44160/60000 (74%)]	Loss: 0.049359
Train Epoch: 14 [44800/60000 (75%)]	Loss: 0.001173
Train Epoch: 14 [45440/60000 (76%)]	Loss: 0.000726
Train Epoch: 14 [46080/60000 (77%)]	Loss: 0.011673
Train Epoch: 14 [46720/60000 (78%)]	Loss: 0.106144
Train Epoch: 14 [47360/60000 (79%)]	Loss: 0.022119
Train Epoch: 14 [48000/60000 (80%)]	Loss: 0.049645
Train Epoch: 14 [48640/60000 (81%)]	Loss: 0.007082
Train Epoch: 14 [49280/60000 (82%)]	Loss: 0.004294
Train Epoch: 14 [49920/60000 (83%)]	Loss: 0.002171
Train Epoch: 14 [50560/60000 (84%)]	Loss: 0.007348
Train Epoch: 14 [51200/60000 (85%)]	Loss: 0.023878
Train Epoch: 14 [51840/60000 (86%)]	Loss: 0.003153
Train Epoch: 14 [52480/60000 (87%)]	Loss: 0.057150
Train Epoch: 14 [53120/60000 (88%)]	Loss: 0.009802
Train Epoch: 14 [53760/60000 (90%)]	Loss: 0.005654
Train Epoch: 14 [54400/60000 (91%)]	Loss: 0.014305
Train Epoch: 14 [55040/60000 (92%)]	Loss: 0.024796
Train Epoch: 14 [55680/60000 (93%)]	Loss: 0.008331
Train Epoch: 14 [56320/60000 (94%)]	Loss: 0.023161
Train Epoch: 14 [56960/60000 (95%)]	Loss: 0.112109
Train Epoch: 14 [57600/60000 (96%)]	Loss: 0.005278
Train Epoch: 14 [58240/60000 (97%)]	Loss: 0.001843
Train Epoch: 14 [58880/60000 (98%)]	Loss: 0.002054
Train Epoch: 14 [59520/60000 (99%)]	Loss: 0.003075

Test set: Average loss: 0.0278, Accuracy: 9922/10000 (99%)