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outputs VAE
Train Epoch: 1 [0/60000 (0%)] Loss: 550.800720
Train Epoch: 1 [1280/60000 (2%)] Loss: 322.319275
Train Epoch: 1 [2560/60000 (4%)] Loss: 238.075073
Train Epoch: 1 [3840/60000 (6%)] Loss: 217.480133
Train Epoch: 1 [5120/60000 (9%)] Loss: 207.814041
Train Epoch: 1 [6400/60000 (11%)] Loss: 210.372253
Train Epoch: 1 [7680/60000 (13%)] Loss: 206.411575
Train Epoch: 1 [8960/60000 (15%)] Loss: 198.051208
Train Epoch: 1 [10240/60000 (17%)] Loss: 196.847122
Train Epoch: 1 [11520/60000 (19%)] Loss: 188.627213
Train Epoch: 1 [12800/60000 (21%)] Loss: 184.369156
Train Epoch: 1 [14080/60000 (23%)] Loss: 183.649902
Train Epoch: 1 [15360/60000 (26%)] Loss: 175.880432
Train Epoch: 1 [16640/60000 (28%)] Loss: 163.250214
Train Epoch: 1 [17920/60000 (30%)] Loss: 168.123962
Train Epoch: 1 [19200/60000 (32%)] Loss: 161.854095
Train Epoch: 1 [20480/60000 (34%)] Loss: 164.584656
Train Epoch: 1 [21760/60000 (36%)] Loss: 158.747147
Train Epoch: 1 [23040/60000 (38%)] Loss: 159.783035
Train Epoch: 1 [24320/60000 (41%)] Loss: 156.141052
Train Epoch: 1 [25600/60000 (43%)] Loss: 148.685028
Train Epoch: 1 [26880/60000 (45%)] Loss: 151.967194
Train Epoch: 1 [28160/60000 (47%)] Loss: 156.013977
Train Epoch: 1 [29440/60000 (49%)] Loss: 145.187866
Train Epoch: 1 [30720/60000 (51%)] Loss: 148.543640
Train Epoch: 1 [32000/60000 (53%)] Loss: 147.977142
Train Epoch: 1 [33280/60000 (55%)] Loss: 145.586960
Train Epoch: 1 [34560/60000 (58%)] Loss: 140.001068
Train Epoch: 1 [35840/60000 (60%)] Loss: 151.087585
Train Epoch: 1 [37120/60000 (62%)] Loss: 140.372757
Train Epoch: 1 [38400/60000 (64%)] Loss: 145.015884
Train Epoch: 1 [39680/60000 (66%)] Loss: 145.229965
Train Epoch: 1 [40960/60000 (68%)] Loss: 139.308380
Train Epoch: 1 [42240/60000 (70%)] Loss: 137.257568
Train Epoch: 1 [43520/60000 (72%)] Loss: 137.008804
Train Epoch: 1 [44800/60000 (75%)] Loss: 135.331329
Train Epoch: 1 [46080/60000 (77%)] Loss: 139.055847
Train Epoch: 1 [47360/60000 (79%)] Loss: 132.266541
Train Epoch: 1 [48640/60000 (81%)] Loss: 137.161316
Train Epoch: 1 [49920/60000 (83%)] Loss: 131.932587
Train Epoch: 1 [51200/60000 (85%)] Loss: 131.915466
Train Epoch: 1 [52480/60000 (87%)] Loss: 138.439941
Train Epoch: 1 [53760/60000 (90%)] Loss: 139.026047
Train Epoch: 1 [55040/60000 (92%)] Loss: 131.473495
Train Epoch: 1 [56320/60000 (94%)] Loss: 127.484657
Train Epoch: 1 [57600/60000 (96%)] Loss: 133.981293
Train Epoch: 1 [58880/60000 (98%)] Loss: 131.087616
====> Epoch: 1 Average loss: 165.7147
====> Test set loss: 128.3523
Train Epoch: 2 [0/60000 (0%)] Loss: 124.402222
Train Epoch: 2 [1280/60000 (2%)] Loss: 129.624268
Train Epoch: 2 [2560/60000 (4%)] Loss: 121.813232
Train Epoch: 2 [3840/60000 (6%)] Loss: 128.912582
Train Epoch: 2 [5120/60000 (9%)] Loss: 125.156357
Train Epoch: 2 [6400/60000 (11%)] Loss: 130.841141
Train Epoch: 2 [7680/60000 (13%)] Loss: 127.508347
Train Epoch: 2 [8960/60000 (15%)] Loss: 124.491516
Train Epoch: 2 [10240/60000 (17%)] Loss: 124.157974
Train Epoch: 2 [11520/60000 (19%)] Loss: 123.998772
Train Epoch: 2 [12800/60000 (21%)] Loss: 118.615494
Train Epoch: 2 [14080/60000 (23%)] Loss: 124.591972
Train Epoch: 2 [15360/60000 (26%)] Loss: 130.784256
Train Epoch: 2 [16640/60000 (28%)] Loss: 125.884720
Train Epoch: 2 [17920/60000 (30%)] Loss: 124.103218
Train Epoch: 2 [19200/60000 (32%)] Loss: 123.779182
Train Epoch: 2 [20480/60000 (34%)] Loss: 125.919960
Train Epoch: 2 [21760/60000 (36%)] Loss: 120.333076
Train Epoch: 2 [23040/60000 (38%)] Loss: 124.665924
Train Epoch: 2 [24320/60000 (41%)] Loss: 121.948730
Train Epoch: 2 [25600/60000 (43%)] Loss: 117.809723
Train Epoch: 2 [26880/60000 (45%)] Loss: 121.690331
Train Epoch: 2 [28160/60000 (47%)] Loss: 126.895325
Train Epoch: 2 [29440/60000 (49%)] Loss: 119.697166
Train Epoch: 2 [30720/60000 (51%)] Loss: 124.824707
Train Epoch: 2 [32000/60000 (53%)] Loss: 124.933609
Train Epoch: 2 [33280/60000 (55%)] Loss: 121.592354
Train Epoch: 2 [34560/60000 (58%)] Loss: 120.864082
Train Epoch: 2 [35840/60000 (60%)] Loss: 121.180313
Train Epoch: 2 [37120/60000 (62%)] Loss: 120.669388
Train Epoch: 2 [38400/60000 (64%)] Loss: 122.513443
Train Epoch: 2 [39680/60000 (66%)] Loss: 123.701263
Train Epoch: 2 [40960/60000 (68%)] Loss: 115.915024
Train Epoch: 2 [42240/60000 (70%)] Loss: 120.208809
Train Epoch: 2 [43520/60000 (72%)] Loss: 121.562836
Train Epoch: 2 [44800/60000 (75%)] Loss: 119.238373
Train Epoch: 2 [46080/60000 (77%)] Loss: 120.450317
Train Epoch: 2 [47360/60000 (79%)] Loss: 116.517418
Train Epoch: 2 [48640/60000 (81%)] Loss: 117.957901
Train Epoch: 2 [49920/60000 (83%)] Loss: 118.987724
Train Epoch: 2 [51200/60000 (85%)] Loss: 122.222488
Train Epoch: 2 [52480/60000 (87%)] Loss: 117.089058
Train Epoch: 2 [53760/60000 (90%)] Loss: 117.247467
Train Epoch: 2 [55040/60000 (92%)] Loss: 117.034134
Train Epoch: 2 [56320/60000 (94%)] Loss: 114.628082
Train Epoch: 2 [57600/60000 (96%)] Loss: 120.775940
Train Epoch: 2 [58880/60000 (98%)] Loss: 121.686905
====> Epoch: 2 Average loss: 122.2381
====> Test set loss: 115.8172
Train Epoch: 3 [0/60000 (0%)] Loss: 113.833809
Train Epoch: 3 [1280/60000 (2%)] Loss: 121.426682
Train Epoch: 3 [2560/60000 (4%)] Loss: 116.895721
Train Epoch: 3 [3840/60000 (6%)] Loss: 121.809052
Train Epoch: 3 [5120/60000 (9%)] Loss: 116.744987
Train Epoch: 3 [6400/60000 (11%)] Loss: 115.686386
Train Epoch: 3 [7680/60000 (13%)] Loss: 122.310715
Train Epoch: 3 [8960/60000 (15%)] Loss: 113.497681
Train Epoch: 3 [10240/60000 (17%)] Loss: 116.652229
Train Epoch: 3 [11520/60000 (19%)] Loss: 118.488274
Train Epoch: 3 [12800/60000 (21%)] Loss: 111.487701
Train Epoch: 3 [14080/60000 (23%)] Loss: 117.802307
Train Epoch: 3 [15360/60000 (26%)] Loss: 111.989624
Train Epoch: 3 [16640/60000 (28%)] Loss: 112.187447
Train Epoch: 3 [17920/60000 (30%)] Loss: 112.482903
Train Epoch: 3 [19200/60000 (32%)] Loss: 113.739838
Train Epoch: 3 [20480/60000 (34%)] Loss: 114.862946
Train Epoch: 3 [21760/60000 (36%)] Loss: 112.515358
Train Epoch: 3 [23040/60000 (38%)] Loss: 115.452957
Train Epoch: 3 [24320/60000 (41%)] Loss: 109.885391
Train Epoch: 3 [25600/60000 (43%)] Loss: 111.582169
Train Epoch: 3 [26880/60000 (45%)] Loss: 111.171234
Train Epoch: 3 [28160/60000 (47%)] Loss: 110.832169
Train Epoch: 3 [29440/60000 (49%)] Loss: 116.847931
Train Epoch: 3 [30720/60000 (51%)] Loss: 115.472809
Train Epoch: 3 [32000/60000 (53%)] Loss: 116.785675
Train Epoch: 3 [33280/60000 (55%)] Loss: 111.346817
Train Epoch: 3 [34560/60000 (58%)] Loss: 117.180939
Train Epoch: 3 [35840/60000 (60%)] Loss: 112.868629
Train Epoch: 3 [37120/60000 (62%)] Loss: 119.165962
Train Epoch: 3 [38400/60000 (64%)] Loss: 114.679901
Train Epoch: 3 [39680/60000 (66%)] Loss: 114.215614
Train Epoch: 3 [40960/60000 (68%)] Loss: 111.505341
Train Epoch: 3 [42240/60000 (70%)] Loss: 109.191193
Train Epoch: 3 [43520/60000 (72%)] Loss: 116.725128
Train Epoch: 3 [44800/60000 (75%)] Loss: 109.903061
Train Epoch: 3 [46080/60000 (77%)] Loss: 113.346024
Train Epoch: 3 [47360/60000 (79%)] Loss: 108.247025
Train Epoch: 3 [48640/60000 (81%)] Loss: 116.196388
Train Epoch: 3 [49920/60000 (83%)] Loss: 115.194702
Train Epoch: 3 [51200/60000 (85%)] Loss: 115.020790
Train Epoch: 3 [52480/60000 (87%)] Loss: 113.246643
Train Epoch: 3 [53760/60000 (90%)] Loss: 111.304520
Train Epoch: 3 [55040/60000 (92%)] Loss: 116.834564
Train Epoch: 3 [56320/60000 (94%)] Loss: 113.110634
Train Epoch: 3 [57600/60000 (96%)] Loss: 110.643944
Train Epoch: 3 [58880/60000 (98%)] Loss: 113.131561
====> Epoch: 3 Average loss: 114.8166
====> Test set loss: 111.8854
Train Epoch: 4 [0/60000 (0%)] Loss: 113.717819
Train Epoch: 4 [1280/60000 (2%)] Loss: 110.125977
Train Epoch: 4 [2560/60000 (4%)] Loss: 112.263962
Train Epoch: 4 [3840/60000 (6%)] Loss: 109.614517
Train Epoch: 4 [5120/60000 (9%)] Loss: 112.353905
Train Epoch: 4 [6400/60000 (11%)] Loss: 110.861198
Train Epoch: 4 [7680/60000 (13%)] Loss: 113.999680
Train Epoch: 4 [8960/60000 (15%)] Loss: 113.496216
Train Epoch: 4 [10240/60000 (17%)] Loss: 112.432312
Train Epoch: 4 [11520/60000 (19%)] Loss: 117.338524
Train Epoch: 4 [12800/60000 (21%)] Loss: 111.923111
Train Epoch: 4 [14080/60000 (23%)] Loss: 112.863617
Train Epoch: 4 [15360/60000 (26%)] Loss: 111.227325
Train Epoch: 4 [16640/60000 (28%)] Loss: 112.124626
Train Epoch: 4 [17920/60000 (30%)] Loss: 115.572144
Train Epoch: 4 [19200/60000 (32%)] Loss: 110.462280
Train Epoch: 4 [20480/60000 (34%)] Loss: 116.477463
Train Epoch: 4 [21760/60000 (36%)] Loss: 109.883530
Train Epoch: 4 [23040/60000 (38%)] Loss: 106.711502
Train Epoch: 4 [24320/60000 (41%)] Loss: 113.586555
Train Epoch: 4 [25600/60000 (43%)] Loss: 114.257446
Train Epoch: 4 [26880/60000 (45%)] Loss: 111.894882
Train Epoch: 4 [28160/60000 (47%)] Loss: 111.381088
Train Epoch: 4 [29440/60000 (49%)] Loss: 109.181679
Train Epoch: 4 [30720/60000 (51%)] Loss: 113.889435
Train Epoch: 4 [32000/60000 (53%)] Loss: 110.438858
Train Epoch: 4 [33280/60000 (55%)] Loss: 111.673950
Train Epoch: 4 [34560/60000 (58%)] Loss: 109.091095
Train Epoch: 4 [35840/60000 (60%)] Loss: 110.720963
Train Epoch: 4 [37120/60000 (62%)] Loss: 113.489128
Train Epoch: 4 [38400/60000 (64%)] Loss: 109.004814
Train Epoch: 4 [39680/60000 (66%)] Loss: 112.446396
Train Epoch: 4 [40960/60000 (68%)] Loss: 115.562500
Train Epoch: 4 [42240/60000 (70%)] Loss: 110.661133
Train Epoch: 4 [43520/60000 (72%)] Loss: 109.405945
Train Epoch: 4 [44800/60000 (75%)] Loss: 111.095924
Train Epoch: 4 [46080/60000 (77%)] Loss: 110.370880
Train Epoch: 4 [47360/60000 (79%)] Loss: 109.707176
Train Epoch: 4 [48640/60000 (81%)] Loss: 112.557587
Train Epoch: 4 [49920/60000 (83%)] Loss: 109.368988
Train Epoch: 4 [51200/60000 (85%)] Loss: 116.108551
Train Epoch: 4 [52480/60000 (87%)] Loss: 112.397766
Train Epoch: 4 [53760/60000 (90%)] Loss: 110.236359
Train Epoch: 4 [55040/60000 (92%)] Loss: 110.458664
Train Epoch: 4 [56320/60000 (94%)] Loss: 112.469292
Train Epoch: 4 [57600/60000 (96%)] Loss: 108.727783
Train Epoch: 4 [58880/60000 (98%)] Loss: 109.825485
====> Epoch: 4 Average loss: 111.7298
====> Test set loss: 109.8762
Train Epoch: 5 [0/60000 (0%)] Loss: 108.191582
Train Epoch: 5 [1280/60000 (2%)] Loss: 106.953339
Train Epoch: 5 [2560/60000 (4%)] Loss: 109.357666
Train Epoch: 5 [3840/60000 (6%)] Loss: 110.107941
Train Epoch: 5 [5120/60000 (9%)] Loss: 113.215256
Train Epoch: 5 [6400/60000 (11%)] Loss: 111.755417
Train Epoch: 5 [7680/60000 (13%)] Loss: 108.977806
Train Epoch: 5 [8960/60000 (15%)] Loss: 110.225281
Train Epoch: 5 [10240/60000 (17%)] Loss: 108.664391
Train Epoch: 5 [11520/60000 (19%)] Loss: 110.186966
Train Epoch: 5 [12800/60000 (21%)] Loss: 115.741760
Train Epoch: 5 [14080/60000 (23%)] Loss: 110.449417
Train Epoch: 5 [15360/60000 (26%)] Loss: 107.818436
Train Epoch: 5 [16640/60000 (28%)] Loss: 113.444412
Train Epoch: 5 [17920/60000 (30%)] Loss: 113.997910
Train Epoch: 5 [19200/60000 (32%)] Loss: 114.906197
Train Epoch: 5 [20480/60000 (34%)] Loss: 104.300034
Train Epoch: 5 [21760/60000 (36%)] Loss: 109.701309
Train Epoch: 5 [23040/60000 (38%)] Loss: 108.207016
Train Epoch: 5 [24320/60000 (41%)] Loss: 109.357315
Train Epoch: 5 [25600/60000 (43%)] Loss: 109.558075
Train Epoch: 5 [26880/60000 (45%)] Loss: 109.564072
Train Epoch: 5 [28160/60000 (47%)] Loss: 104.448326
Train Epoch: 5 [29440/60000 (49%)] Loss: 106.631050
Train Epoch: 5 [30720/60000 (51%)] Loss: 112.925217
Train Epoch: 5 [32000/60000 (53%)] Loss: 111.681747
Train Epoch: 5 [33280/60000 (55%)] Loss: 111.707550
Train Epoch: 5 [34560/60000 (58%)] Loss: 111.116974
Train Epoch: 5 [35840/60000 (60%)] Loss: 111.483185
Train Epoch: 5 [37120/60000 (62%)] Loss: 106.995331
Train Epoch: 5 [38400/60000 (64%)] Loss: 110.506416
Train Epoch: 5 [39680/60000 (66%)] Loss: 104.392082
Train Epoch: 5 [40960/60000 (68%)] Loss: 104.671051
Train Epoch: 5 [42240/60000 (70%)] Loss: 110.173225
Train Epoch: 5 [43520/60000 (72%)] Loss: 114.825851
Train Epoch: 5 [44800/60000 (75%)] Loss: 104.199608
Train Epoch: 5 [46080/60000 (77%)] Loss: 108.326752
Train Epoch: 5 [47360/60000 (79%)] Loss: 115.434776
Train Epoch: 5 [48640/60000 (81%)] Loss: 111.044815
Train Epoch: 5 [49920/60000 (83%)] Loss: 112.093292
Train Epoch: 5 [51200/60000 (85%)] Loss: 109.628769
Train Epoch: 5 [52480/60000 (87%)] Loss: 108.444244
Train Epoch: 5 [53760/60000 (90%)] Loss: 109.405807
Train Epoch: 5 [55040/60000 (92%)] Loss: 109.916916
Train Epoch: 5 [56320/60000 (94%)] Loss: 108.515747
Train Epoch: 5 [57600/60000 (96%)] Loss: 113.412766
Train Epoch: 5 [58880/60000 (98%)] Loss: 108.558693
====> Epoch: 5 Average loss: 109.9690
====> Test set loss: 108.5696
Train Epoch: 6 [0/60000 (0%)] Loss: 108.080894
Train Epoch: 6 [1280/60000 (2%)] Loss: 108.277527
Train Epoch: 6 [2560/60000 (4%)] Loss: 111.822556
Train Epoch: 6 [3840/60000 (6%)] Loss: 106.890503
Train Epoch: 6 [5120/60000 (9%)] Loss: 108.043594
Train Epoch: 6 [6400/60000 (11%)] Loss: 110.797905
Train Epoch: 6 [7680/60000 (13%)] Loss: 111.684914
Train Epoch: 6 [8960/60000 (15%)] Loss: 113.607956
Train Epoch: 6 [10240/60000 (17%)] Loss: 107.530113
Train Epoch: 6 [11520/60000 (19%)] Loss: 108.004395
Train Epoch: 6 [12800/60000 (21%)] Loss: 105.176498
Train Epoch: 6 [14080/60000 (23%)] Loss: 106.846771
Train Epoch: 6 [15360/60000 (26%)] Loss: 104.663406
Train Epoch: 6 [16640/60000 (28%)] Loss: 105.895035
Train Epoch: 6 [17920/60000 (30%)] Loss: 109.303093
Train Epoch: 6 [19200/60000 (32%)] Loss: 109.433151
Train Epoch: 6 [20480/60000 (34%)] Loss: 109.471428
Train Epoch: 6 [21760/60000 (36%)] Loss: 107.182655
Train Epoch: 6 [23040/60000 (38%)] Loss: 108.821808
Train Epoch: 6 [24320/60000 (41%)] Loss: 105.904503
Train Epoch: 6 [25600/60000 (43%)] Loss: 108.327614
Train Epoch: 6 [26880/60000 (45%)] Loss: 112.478683
Train Epoch: 6 [28160/60000 (47%)] Loss: 110.666473
Train Epoch: 6 [29440/60000 (49%)] Loss: 110.929428
Train Epoch: 6 [30720/60000 (51%)] Loss: 103.758781
Train Epoch: 6 [32000/60000 (53%)] Loss: 111.601768
Train Epoch: 6 [33280/60000 (55%)] Loss: 109.256096
Train Epoch: 6 [34560/60000 (58%)] Loss: 108.510071
Train Epoch: 6 [35840/60000 (60%)] Loss: 105.766800
Train Epoch: 6 [37120/60000 (62%)] Loss: 105.488396
Train Epoch: 6 [38400/60000 (64%)] Loss: 111.330032
Train Epoch: 6 [39680/60000 (66%)] Loss: 108.676682
Train Epoch: 6 [40960/60000 (68%)] Loss: 106.585220
Train Epoch: 6 [42240/60000 (70%)] Loss: 111.328232
Train Epoch: 6 [43520/60000 (72%)] Loss: 105.579269
Train Epoch: 6 [44800/60000 (75%)] Loss: 111.993828
Train Epoch: 6 [46080/60000 (77%)] Loss: 109.455139
Train Epoch: 6 [47360/60000 (79%)] Loss: 107.382446
Train Epoch: 6 [48640/60000 (81%)] Loss: 109.838799
Train Epoch: 6 [49920/60000 (83%)] Loss: 110.471878
Train Epoch: 6 [51200/60000 (85%)] Loss: 109.450562
Train Epoch: 6 [52480/60000 (87%)] Loss: 105.625175
Train Epoch: 6 [53760/60000 (90%)] Loss: 110.070496
Train Epoch: 6 [55040/60000 (92%)] Loss: 104.140022
Train Epoch: 6 [56320/60000 (94%)] Loss: 112.133423
Train Epoch: 6 [57600/60000 (96%)] Loss: 108.966591
Train Epoch: 6 [58880/60000 (98%)] Loss: 110.905487
====> Epoch: 6 Average loss: 108.8218
====> Test set loss: 107.5541
Train Epoch: 7 [0/60000 (0%)] Loss: 106.832214
Train Epoch: 7 [1280/60000 (2%)] Loss: 111.704803
Train Epoch: 7 [2560/60000 (4%)] Loss: 110.394257
Train Epoch: 7 [3840/60000 (6%)] Loss: 107.083817
Train Epoch: 7 [5120/60000 (9%)] Loss: 104.770813
Train Epoch: 7 [6400/60000 (11%)] Loss: 106.029846
Train Epoch: 7 [7680/60000 (13%)] Loss: 112.011253
Train Epoch: 7 [8960/60000 (15%)] Loss: 106.210495
Train Epoch: 7 [10240/60000 (17%)] Loss: 106.962204
Train Epoch: 7 [11520/60000 (19%)] Loss: 109.638008
Train Epoch: 7 [12800/60000 (21%)] Loss: 108.988251
Train Epoch: 7 [14080/60000 (23%)] Loss: 109.599731
Train Epoch: 7 [15360/60000 (26%)] Loss: 104.298653
Train Epoch: 7 [16640/60000 (28%)] Loss: 111.104073
Train Epoch: 7 [17920/60000 (30%)] Loss: 107.406662
Train Epoch: 7 [19200/60000 (32%)] Loss: 107.928391
Train Epoch: 7 [20480/60000 (34%)] Loss: 109.438080
Train Epoch: 7 [21760/60000 (36%)] Loss: 106.794609
Train Epoch: 7 [23040/60000 (38%)] Loss: 108.701973
Train Epoch: 7 [24320/60000 (41%)] Loss: 107.057709
Train Epoch: 7 [25600/60000 (43%)] Loss: 110.401489
Train Epoch: 7 [26880/60000 (45%)] Loss: 106.779991
Train Epoch: 7 [28160/60000 (47%)] Loss: 109.116806
Train Epoch: 7 [29440/60000 (49%)] Loss: 110.472595
Train Epoch: 7 [30720/60000 (51%)] Loss: 109.068283
Train Epoch: 7 [32000/60000 (53%)] Loss: 109.509247
Train Epoch: 7 [33280/60000 (55%)] Loss: 103.450615
Train Epoch: 7 [34560/60000 (58%)] Loss: 106.001480
Train Epoch: 7 [35840/60000 (60%)] Loss: 102.855156
Train Epoch: 7 [37120/60000 (62%)] Loss: 106.779663
Train Epoch: 7 [38400/60000 (64%)] Loss: 104.479034
Train Epoch: 7 [39680/60000 (66%)] Loss: 106.044991
Train Epoch: 7 [40960/60000 (68%)] Loss: 110.117035
Train Epoch: 7 [42240/60000 (70%)] Loss: 109.119171
Train Epoch: 7 [43520/60000 (72%)] Loss: 106.175171
Train Epoch: 7 [44800/60000 (75%)] Loss: 105.773666
Train Epoch: 7 [46080/60000 (77%)] Loss: 109.210625
Train Epoch: 7 [47360/60000 (79%)] Loss: 110.314774
Train Epoch: 7 [48640/60000 (81%)] Loss: 107.278954
Train Epoch: 7 [49920/60000 (83%)] Loss: 113.596161
Train Epoch: 7 [51200/60000 (85%)] Loss: 109.936539
Train Epoch: 7 [52480/60000 (87%)] Loss: 108.158714
Train Epoch: 7 [53760/60000 (90%)] Loss: 108.186012
Train Epoch: 7 [55040/60000 (92%)] Loss: 105.476250
Train Epoch: 7 [56320/60000 (94%)] Loss: 104.640800
Train Epoch: 7 [57600/60000 (96%)] Loss: 108.734688
Train Epoch: 7 [58880/60000 (98%)] Loss: 110.200699
====> Epoch: 7 Average loss: 107.9821
====> Test set loss: 107.3043
Train Epoch: 8 [0/60000 (0%)] Loss: 109.789879
Train Epoch: 8 [1280/60000 (2%)] Loss: 114.785202
Train Epoch: 8 [2560/60000 (4%)] Loss: 107.224037
Train Epoch: 8 [3840/60000 (6%)] Loss: 109.364365
Train Epoch: 8 [5120/60000 (9%)] Loss: 104.342766
Train Epoch: 8 [6400/60000 (11%)] Loss: 106.340996
Train Epoch: 8 [7680/60000 (13%)] Loss: 106.558426
Train Epoch: 8 [8960/60000 (15%)] Loss: 108.162079
Train Epoch: 8 [10240/60000 (17%)] Loss: 109.531677
Train Epoch: 8 [11520/60000 (19%)] Loss: 107.245987
Train Epoch: 8 [12800/60000 (21%)] Loss: 110.673996
Train Epoch: 8 [14080/60000 (23%)] Loss: 110.659821
Train Epoch: 8 [15360/60000 (26%)] Loss: 107.839279
Train Epoch: 8 [16640/60000 (28%)] Loss: 107.298752
Train Epoch: 8 [17920/60000 (30%)] Loss: 106.911194
Train Epoch: 8 [19200/60000 (32%)] Loss: 105.774399
Train Epoch: 8 [20480/60000 (34%)] Loss: 106.396049
Train Epoch: 8 [21760/60000 (36%)] Loss: 108.201256
Train Epoch: 8 [23040/60000 (38%)] Loss: 105.455971
Train Epoch: 8 [24320/60000 (41%)] Loss: 105.052948
Train Epoch: 8 [25600/60000 (43%)] Loss: 101.311546
Train Epoch: 8 [26880/60000 (45%)] Loss: 108.446342
Train Epoch: 8 [28160/60000 (47%)] Loss: 103.908730
Train Epoch: 8 [29440/60000 (49%)] Loss: 106.333832
Train Epoch: 8 [30720/60000 (51%)] Loss: 108.639595
Train Epoch: 8 [32000/60000 (53%)] Loss: 110.024979
Train Epoch: 8 [33280/60000 (55%)] Loss: 110.514702
Train Epoch: 8 [34560/60000 (58%)] Loss: 107.795662
Train Epoch: 8 [35840/60000 (60%)] Loss: 109.442650
Train Epoch: 8 [37120/60000 (62%)] Loss: 106.933525
Train Epoch: 8 [38400/60000 (64%)] Loss: 107.511330
Train Epoch: 8 [39680/60000 (66%)] Loss: 104.827805
Train Epoch: 8 [40960/60000 (68%)] Loss: 108.915009
Train Epoch: 8 [42240/60000 (70%)] Loss: 109.908676
Train Epoch: 8 [43520/60000 (72%)] Loss: 105.201416
Train Epoch: 8 [44800/60000 (75%)] Loss: 109.854263
Train Epoch: 8 [46080/60000 (77%)] Loss: 109.263092
Train Epoch: 8 [47360/60000 (79%)] Loss: 108.444008
Train Epoch: 8 [48640/60000 (81%)] Loss: 107.577629
Train Epoch: 8 [49920/60000 (83%)] Loss: 109.431808
Train Epoch: 8 [51200/60000 (85%)] Loss: 100.781418
Train Epoch: 8 [52480/60000 (87%)] Loss: 108.761612
Train Epoch: 8 [53760/60000 (90%)] Loss: 102.012726
Train Epoch: 8 [55040/60000 (92%)] Loss: 106.095161
Train Epoch: 8 [56320/60000 (94%)] Loss: 109.603241
Train Epoch: 8 [57600/60000 (96%)] Loss: 111.211800
Train Epoch: 8 [58880/60000 (98%)] Loss: 102.523491
====> Epoch: 8 Average loss: 107.3733
====> Test set loss: 106.3095
Train Epoch: 9 [0/60000 (0%)] Loss: 102.751953
Train Epoch: 9 [1280/60000 (2%)] Loss: 104.533478
Train Epoch: 9 [2560/60000 (4%)] Loss: 110.972946
Train Epoch: 9 [3840/60000 (6%)] Loss: 110.667862
Train Epoch: 9 [5120/60000 (9%)] Loss: 108.639534
Train Epoch: 9 [6400/60000 (11%)] Loss: 105.952377
Train Epoch: 9 [7680/60000 (13%)] Loss: 106.648392
Train Epoch: 9 [8960/60000 (15%)] Loss: 103.969498
Train Epoch: 9 [10240/60000 (17%)] Loss: 104.205574
Train Epoch: 9 [11520/60000 (19%)] Loss: 109.272156
Train Epoch: 9 [12800/60000 (21%)] Loss: 111.560852
Train Epoch: 9 [14080/60000 (23%)] Loss: 105.798462
Train Epoch: 9 [15360/60000 (26%)] Loss: 107.961929
Train Epoch: 9 [16640/60000 (28%)] Loss: 104.652916
Train Epoch: 9 [17920/60000 (30%)] Loss: 102.857529
Train Epoch: 9 [19200/60000 (32%)] Loss: 106.990875
Train Epoch: 9 [20480/60000 (34%)] Loss: 108.300568
Train Epoch: 9 [21760/60000 (36%)] Loss: 104.013458
Train Epoch: 9 [23040/60000 (38%)] Loss: 106.328949
Train Epoch: 9 [24320/60000 (41%)] Loss: 106.345695
Train Epoch: 9 [25600/60000 (43%)] Loss: 106.309357
Train Epoch: 9 [26880/60000 (45%)] Loss: 107.443512
Train Epoch: 9 [28160/60000 (47%)] Loss: 108.053162
Train Epoch: 9 [29440/60000 (49%)] Loss: 104.833115
Train Epoch: 9 [30720/60000 (51%)] Loss: 102.452873
Train Epoch: 9 [32000/60000 (53%)] Loss: 110.979080
Train Epoch: 9 [33280/60000 (55%)] Loss: 104.498199
Train Epoch: 9 [34560/60000 (58%)] Loss: 104.743027
Train Epoch: 9 [35840/60000 (60%)] Loss: 110.714157
Train Epoch: 9 [37120/60000 (62%)] Loss: 103.901909
Train Epoch: 9 [38400/60000 (64%)] Loss: 105.715668
Train Epoch: 9 [39680/60000 (66%)] Loss: 106.961639
Train Epoch: 9 [40960/60000 (68%)] Loss: 108.290298
Train Epoch: 9 [42240/60000 (70%)] Loss: 108.694092
Train Epoch: 9 [43520/60000 (72%)] Loss: 106.019821
Train Epoch: 9 [44800/60000 (75%)] Loss: 108.450058
Train Epoch: 9 [46080/60000 (77%)] Loss: 103.068687
Train Epoch: 9 [47360/60000 (79%)] Loss: 106.834656
Train Epoch: 9 [48640/60000 (81%)] Loss: 104.926910
Train Epoch: 9 [49920/60000 (83%)] Loss: 106.550385
Train Epoch: 9 [51200/60000 (85%)] Loss: 107.411423
Train Epoch: 9 [52480/60000 (87%)] Loss: 105.680756
Train Epoch: 9 [53760/60000 (90%)] Loss: 103.451645
Train Epoch: 9 [55040/60000 (92%)] Loss: 104.816528
Train Epoch: 9 [56320/60000 (94%)] Loss: 109.124069
Train Epoch: 9 [57600/60000 (96%)] Loss: 110.640930
Train Epoch: 9 [58880/60000 (98%)] Loss: 109.985390
====> Epoch: 9 Average loss: 106.8356
====> Test set loss: 106.0056
Train Epoch: 10 [0/60000 (0%)] Loss: 107.306335
Train Epoch: 10 [1280/60000 (2%)] Loss: 108.610397
Train Epoch: 10 [2560/60000 (4%)] Loss: 107.316452
Train Epoch: 10 [3840/60000 (6%)] Loss: 108.623245
Train Epoch: 10 [5120/60000 (9%)] Loss: 105.578651
Train Epoch: 10 [6400/60000 (11%)] Loss: 101.336243
Train Epoch: 10 [7680/60000 (13%)] Loss: 102.412170
Train Epoch: 10 [8960/60000 (15%)] Loss: 106.980911
Train Epoch: 10 [10240/60000 (17%)] Loss: 108.463898
Train Epoch: 10 [11520/60000 (19%)] Loss: 105.297836
Train Epoch: 10 [12800/60000 (21%)] Loss: 109.930969
Train Epoch: 10 [14080/60000 (23%)] Loss: 107.142784
Train Epoch: 10 [15360/60000 (26%)] Loss: 104.364220
Train Epoch: 10 [16640/60000 (28%)] Loss: 107.082466
Train Epoch: 10 [17920/60000 (30%)] Loss: 108.210732
Train Epoch: 10 [19200/60000 (32%)] Loss: 103.948807
Train Epoch: 10 [20480/60000 (34%)] Loss: 108.670853
Train Epoch: 10 [21760/60000 (36%)] Loss: 106.662354
Train Epoch: 10 [23040/60000 (38%)] Loss: 105.964050
Train Epoch: 10 [24320/60000 (41%)] Loss: 107.237877
Train Epoch: 10 [25600/60000 (43%)] Loss: 107.733124
Train Epoch: 10 [26880/60000 (45%)] Loss: 109.082130
Train Epoch: 10 [28160/60000 (47%)] Loss: 109.748436
Train Epoch: 10 [29440/60000 (49%)] Loss: 109.509338
Train Epoch: 10 [30720/60000 (51%)] Loss: 107.597504
Train Epoch: 10 [32000/60000 (53%)] Loss: 107.664505
Train Epoch: 10 [33280/60000 (55%)] Loss: 103.025345
Train Epoch: 10 [34560/60000 (58%)] Loss: 104.842041
Train Epoch: 10 [35840/60000 (60%)] Loss: 104.525856
Train Epoch: 10 [37120/60000 (62%)] Loss: 106.811279
Train Epoch: 10 [38400/60000 (64%)] Loss: 105.123787
Train Epoch: 10 [39680/60000 (66%)] Loss: 103.870712
Train Epoch: 10 [40960/60000 (68%)] Loss: 106.040863
Train Epoch: 10 [42240/60000 (70%)] Loss: 103.933517
Train Epoch: 10 [43520/60000 (72%)] Loss: 107.272987
Train Epoch: 10 [44800/60000 (75%)] Loss: 106.420593
Train Epoch: 10 [46080/60000 (77%)] Loss: 107.840683
Train Epoch: 10 [47360/60000 (79%)] Loss: 106.113876
Train Epoch: 10 [48640/60000 (81%)] Loss: 104.479950
Train Epoch: 10 [49920/60000 (83%)] Loss: 107.512604
Train Epoch: 10 [51200/60000 (85%)] Loss: 108.128845
Train Epoch: 10 [52480/60000 (87%)] Loss: 102.754227
Train Epoch: 10 [53760/60000 (90%)] Loss: 103.970276
Train Epoch: 10 [55040/60000 (92%)] Loss: 107.143562
Train Epoch: 10 [56320/60000 (94%)] Loss: 107.361389
Train Epoch: 10 [57600/60000 (96%)] Loss: 107.410034
Train Epoch: 10 [58880/60000 (98%)] Loss: 103.631325
====> Epoch: 10 Average loss: 106.4069
====> Test set loss: 105.6951
Train Epoch: 1 [0/60000 (0%)] Loss: 32.582539
Train Epoch: 1 [1280/60000 (2%)] Loss: 1.903263
Train Epoch: 1 [2560/60000 (4%)] Loss: 0.286073
Train Epoch: 1 [3840/60000 (6%)] Loss: 0.099214
Train Epoch: 1 [5120/60000 (9%)] Loss: 0.059139
Train Epoch: 1 [6400/60000 (11%)] Loss: 0.041527
Train Epoch: 1 [7680/60000 (13%)] Loss: 0.040399
Train Epoch: 1 [8960/60000 (15%)] Loss: 0.023979
Train Epoch: 1 [10240/60000 (17%)] Loss: 0.024150
Train Epoch: 1 [11520/60000 (19%)] Loss: 0.022227
Train Epoch: 1 [12800/60000 (21%)] Loss: 0.019609
Train Epoch: 1 [14080/60000 (23%)] Loss: 0.018830
Train Epoch: 1 [15360/60000 (26%)] Loss: 0.017240
Train Epoch: 1 [16640/60000 (28%)] Loss: 0.016942
Train Epoch: 1 [17920/60000 (30%)] Loss: 0.013386
Train Epoch: 1 [19200/60000 (32%)] Loss: 0.012849
Train Epoch: 1 [20480/60000 (34%)] Loss: 0.012650
Train Epoch: 1 [21760/60000 (36%)] Loss: 0.012229
Train Epoch: 1 [23040/60000 (38%)] Loss: 0.010521
Train Epoch: 1 [24320/60000 (41%)] Loss: 0.011802
Train Epoch: 1 [25600/60000 (43%)] Loss: 0.010841
Train Epoch: 1 [26880/60000 (45%)] Loss: 0.010788
Train Epoch: 1 [28160/60000 (47%)] Loss: 0.011151
Train Epoch: 1 [29440/60000 (49%)] Loss: 0.009527
Train Epoch: 1 [30720/60000 (51%)] Loss: 0.009431
Train Epoch: 1 [32000/60000 (53%)] Loss: 0.008794
Train Epoch: 1 [33280/60000 (55%)] Loss: 0.008012
Train Epoch: 1 [34560/60000 (58%)] Loss: 0.008208
Train Epoch: 1 [35840/60000 (60%)] Loss: 0.008248
Train Epoch: 1 [37120/60000 (62%)] Loss: 0.008538
Train Epoch: 1 [38400/60000 (64%)] Loss: 0.008149
Train Epoch: 1 [39680/60000 (66%)] Loss: 0.007409
Train Epoch: 1 [40960/60000 (68%)] Loss: 0.008082
Train Epoch: 1 [42240/60000 (70%)] Loss: 0.007049
Train Epoch: 1 [43520/60000 (72%)] Loss: 0.007517
Train Epoch: 1 [44800/60000 (75%)] Loss: 0.007662
Train Epoch: 1 [46080/60000 (77%)] Loss: 0.006980
Train Epoch: 1 [47360/60000 (79%)] Loss: 0.008302
Train Epoch: 1 [48640/60000 (81%)] Loss: 0.007289
Train Epoch: 1 [49920/60000 (83%)] Loss: 0.006245
Train Epoch: 1 [51200/60000 (85%)] Loss: 0.006826
Train Epoch: 1 [52480/60000 (87%)] Loss: 0.006303
Train Epoch: 1 [53760/60000 (90%)] Loss: 0.007201
Train Epoch: 1 [55040/60000 (92%)] Loss: 0.005981
Train Epoch: 1 [56320/60000 (94%)] Loss: 0.006054
Train Epoch: 1 [57600/60000 (96%)] Loss: 0.005998
Train Epoch: 1 [58880/60000 (98%)] Loss: 0.005884
====> Epoch: 1 Average loss: 0.2719
====> Test set loss: 0.0061
Train Epoch: 2 [0/60000 (0%)] Loss: 0.006299
Train Epoch: 2 [1280/60000 (2%)] Loss: 0.005827
Train Epoch: 2 [2560/60000 (4%)] Loss: 0.006181
Train Epoch: 2 [3840/60000 (6%)] Loss: 0.006621
Train Epoch: 2 [5120/60000 (9%)] Loss: 0.006038
Train Epoch: 2 [6400/60000 (11%)] Loss: 0.006043
Train Epoch: 2 [7680/60000 (13%)] Loss: 0.006012
Train Epoch: 2 [8960/60000 (15%)] Loss: 0.005935
Train Epoch: 2 [10240/60000 (17%)] Loss: 0.005639
Train Epoch: 2 [11520/60000 (19%)] Loss: 0.005521
Train Epoch: 2 [12800/60000 (21%)] Loss: 0.005635
Train Epoch: 2 [14080/60000 (23%)] Loss: 0.005684
Train Epoch: 2 [15360/60000 (26%)] Loss: 0.005705
Train Epoch: 2 [16640/60000 (28%)] Loss: 0.005577
Train Epoch: 2 [17920/60000 (30%)] Loss: 0.005544
Train Epoch: 2 [19200/60000 (32%)] Loss: 0.005561
Train Epoch: 2 [20480/60000 (34%)] Loss: 0.005534
Train Epoch: 2 [21760/60000 (36%)] Loss: 0.005627
Train Epoch: 2 [23040/60000 (38%)] Loss: 0.005183
Train Epoch: 2 [24320/60000 (41%)] Loss: 0.005182
Train Epoch: 2 [25600/60000 (43%)] Loss: 0.005228
Train Epoch: 2 [26880/60000 (45%)] Loss: 0.005394
Train Epoch: 2 [28160/60000 (47%)] Loss: 0.005752
Train Epoch: 2 [29440/60000 (49%)] Loss: 0.005275
Train Epoch: 2 [30720/60000 (51%)] Loss: 0.005534
Train Epoch: 2 [32000/60000 (53%)] Loss: 0.005310
Train Epoch: 2 [33280/60000 (55%)] Loss: 0.005245
Train Epoch: 2 [34560/60000 (58%)] Loss: 0.005247
Train Epoch: 2 [35840/60000 (60%)] Loss: 0.005242
Train Epoch: 2 [37120/60000 (62%)] Loss: 0.005538
Train Epoch: 2 [38400/60000 (64%)] Loss: 0.005551
Train Epoch: 2 [39680/60000 (66%)] Loss: 0.005208
Train Epoch: 2 [40960/60000 (68%)] Loss: 0.005185
Train Epoch: 2 [42240/60000 (70%)] Loss: 0.004991
Train Epoch: 2 [43520/60000 (72%)] Loss: 0.005069
Train Epoch: 2 [44800/60000 (75%)] Loss: 0.005031
Train Epoch: 2 [46080/60000 (77%)] Loss: 0.005058
Train Epoch: 2 [47360/60000 (79%)] Loss: 0.005112
Train Epoch: 2 [48640/60000 (81%)] Loss: 0.005000
Train Epoch: 2 [49920/60000 (83%)] Loss: 0.005089
Train Epoch: 2 [51200/60000 (85%)] Loss: 0.004935
Train Epoch: 2 [52480/60000 (87%)] Loss: 0.004959
Train Epoch: 2 [53760/60000 (90%)] Loss: 0.004984
Train Epoch: 2 [55040/60000 (92%)] Loss: 0.004923
Train Epoch: 2 [56320/60000 (94%)] Loss: 0.004964
Train Epoch: 2 [57600/60000 (96%)] Loss: 0.005242
Train Epoch: 2 [58880/60000 (98%)] Loss: 0.005031
====> Epoch: 2 Average loss: 0.0054
====> Test set loss: 0.0051
Train Epoch: 3 [0/60000 (0%)] Loss: 0.005005
Train Epoch: 3 [1280/60000 (2%)] Loss: 0.005774
Train Epoch: 3 [2560/60000 (4%)] Loss: 0.005088
Train Epoch: 3 [3840/60000 (6%)] Loss: 0.005183
Train Epoch: 3 [5120/60000 (9%)] Loss: 0.005050
Train Epoch: 3 [6400/60000 (11%)] Loss: 0.004864
Train Epoch: 3 [7680/60000 (13%)] Loss: 0.004927
Train Epoch: 3 [8960/60000 (15%)] Loss: 0.004794
Train Epoch: 3 [10240/60000 (17%)] Loss: 0.004988
Train Epoch: 3 [11520/60000 (19%)] Loss: 0.005289
Train Epoch: 3 [12800/60000 (21%)] Loss: 0.005264
Train Epoch: 3 [14080/60000 (23%)] Loss: 0.005004
Train Epoch: 3 [15360/60000 (26%)] Loss: 0.005195
Train Epoch: 3 [16640/60000 (28%)] Loss: 0.004889
Train Epoch: 3 [17920/60000 (30%)] Loss: 0.004907
Train Epoch: 3 [19200/60000 (32%)] Loss: 0.004810
Train Epoch: 3 [20480/60000 (34%)] Loss: 0.004804
Train Epoch: 3 [21760/60000 (36%)] Loss: 0.004910
Train Epoch: 3 [23040/60000 (38%)] Loss: 0.004830
Train Epoch: 3 [24320/60000 (41%)] Loss: 0.004770
Train Epoch: 3 [25600/60000 (43%)] Loss: 0.005179
Train Epoch: 3 [26880/60000 (45%)] Loss: 0.004893
Train Epoch: 3 [28160/60000 (47%)] Loss: 0.004837
Train Epoch: 3 [29440/60000 (49%)] Loss: 0.004765
Train Epoch: 3 [30720/60000 (51%)] Loss: 0.005052
Train Epoch: 3 [32000/60000 (53%)] Loss: 0.004762
Train Epoch: 3 [33280/60000 (55%)] Loss: 0.004795
Train Epoch: 3 [34560/60000 (58%)] Loss: 0.004996
Train Epoch: 3 [35840/60000 (60%)] Loss: 0.004730
Train Epoch: 3 [37120/60000 (62%)] Loss: 0.004739
Train Epoch: 3 [38400/60000 (64%)] Loss: 0.004727
Train Epoch: 3 [39680/60000 (66%)] Loss: 0.004774
Train Epoch: 3 [40960/60000 (68%)] Loss: 0.004667
Train Epoch: 3 [42240/60000 (70%)] Loss: 0.005097
Train Epoch: 3 [43520/60000 (72%)] Loss: 0.004690
Train Epoch: 3 [44800/60000 (75%)] Loss: 0.004618
Train Epoch: 3 [46080/60000 (77%)] Loss: 0.004661
Train Epoch: 3 [47360/60000 (79%)] Loss: 0.004626
Train Epoch: 3 [48640/60000 (81%)] Loss: 0.004693
Train Epoch: 3 [49920/60000 (83%)] Loss: 0.004707
Train Epoch: 3 [51200/60000 (85%)] Loss: 0.006026
Train Epoch: 3 [52480/60000 (87%)] Loss: 0.005219
Train Epoch: 3 [53760/60000 (90%)] Loss: 0.005065
Train Epoch: 3 [55040/60000 (92%)] Loss: 0.005025
Train Epoch: 3 [56320/60000 (94%)] Loss: 0.004700
Train Epoch: 3 [57600/60000 (96%)] Loss: 0.004818
Train Epoch: 3 [58880/60000 (98%)] Loss: 0.004767
====> Epoch: 3 Average loss: 0.0049
====> Test set loss: 0.0047
Train Epoch: 4 [0/60000 (0%)] Loss: 0.004633
Train Epoch: 4 [1280/60000 (2%)] Loss: 0.004771
Train Epoch: 4 [2560/60000 (4%)] Loss: 0.004635
Train Epoch: 4 [3840/60000 (6%)] Loss: 0.004762
Train Epoch: 4 [5120/60000 (9%)] Loss: 0.004700
Train Epoch: 4 [6400/60000 (11%)] Loss: 0.004590
Train Epoch: 4 [7680/60000 (13%)] Loss: 0.004539
Train Epoch: 4 [8960/60000 (15%)] Loss: 0.004644
Train Epoch: 4 [10240/60000 (17%)] Loss: 0.004716
Train Epoch: 4 [11520/60000 (19%)] Loss: 0.004622
Train Epoch: 4 [12800/60000 (21%)] Loss: 0.004721
Train Epoch: 4 [14080/60000 (23%)] Loss: 0.004679
Train Epoch: 4 [15360/60000 (26%)] Loss: 0.004568
Train Epoch: 4 [16640/60000 (28%)] Loss: 0.004608
Train Epoch: 4 [17920/60000 (30%)] Loss: 0.004676
Train Epoch: 4 [19200/60000 (32%)] Loss: 0.004708
Train Epoch: 4 [20480/60000 (34%)] Loss: 0.004957
Train Epoch: 4 [21760/60000 (36%)] Loss: 0.004747
Train Epoch: 4 [23040/60000 (38%)] Loss: 0.004762
Train Epoch: 4 [24320/60000 (41%)] Loss: 0.004743
Train Epoch: 4 [25600/60000 (43%)] Loss: 0.004751
Train Epoch: 4 [26880/60000 (45%)] Loss: 0.004777
Train Epoch: 4 [28160/60000 (47%)] Loss: 0.004667
Train Epoch: 4 [29440/60000 (49%)] Loss: 0.004645
Train Epoch: 4 [30720/60000 (51%)] Loss: 0.004657
Train Epoch: 4 [32000/60000 (53%)] Loss: 0.004548
Train Epoch: 4 [33280/60000 (55%)] Loss: 0.004734
Train Epoch: 4 [34560/60000 (58%)] Loss: 0.004623
Train Epoch: 4 [35840/60000 (60%)] Loss: 0.004685
Train Epoch: 4 [37120/60000 (62%)] Loss: 0.005004
Train Epoch: 4 [38400/60000 (64%)] Loss: 0.004688
Train Epoch: 4 [39680/60000 (66%)] Loss: 0.004513
Train Epoch: 4 [40960/60000 (68%)] Loss: 0.004648
Train Epoch: 4 [42240/60000 (70%)] Loss: 0.004615
Train Epoch: 4 [43520/60000 (72%)] Loss: 0.004671
Train Epoch: 4 [44800/60000 (75%)] Loss: 0.004580
Train Epoch: 4 [46080/60000 (77%)] Loss: 0.004507
Train Epoch: 4 [47360/60000 (79%)] Loss: 0.004552
Train Epoch: 4 [48640/60000 (81%)] Loss: 0.004512
Train Epoch: 4 [49920/60000 (83%)] Loss: 0.004573
Train Epoch: 4 [51200/60000 (85%)] Loss: 0.004559
Train Epoch: 4 [52480/60000 (87%)] Loss: 0.004655
Train Epoch: 4 [53760/60000 (90%)] Loss: 0.004602
Train Epoch: 4 [55040/60000 (92%)] Loss: 0.004573
Train Epoch: 4 [56320/60000 (94%)] Loss: 0.004420
Train Epoch: 4 [57600/60000 (96%)] Loss: 0.004497
Train Epoch: 4 [58880/60000 (98%)] Loss: 0.004490
====> Epoch: 4 Average loss: 0.0046
====> Test set loss: 0.0046
Train Epoch: 5 [0/60000 (0%)] Loss: 0.004507
Train Epoch: 5 [1280/60000 (2%)] Loss: 0.004618
Train Epoch: 5 [2560/60000 (4%)] Loss: 0.004564
Train Epoch: 5 [3840/60000 (6%)] Loss: 0.004502
Train Epoch: 5 [5120/60000 (9%)] Loss: 0.004583
Train Epoch: 5 [6400/60000 (11%)] Loss: 0.004606
Train Epoch: 5 [7680/60000 (13%)] Loss: 0.004765
Train Epoch: 5 [8960/60000 (15%)] Loss: 0.005707
Train Epoch: 5 [10240/60000 (17%)] Loss: 0.009778
Train Epoch: 5 [11520/60000 (19%)] Loss: 2.149063
Train Epoch: 5 [12800/60000 (21%)] Loss: 0.128289
Train Epoch: 5 [14080/60000 (23%)] Loss: 0.040367
Train Epoch: 5 [15360/60000 (26%)] Loss: 0.021932
Train Epoch: 5 [16640/60000 (28%)] Loss: 0.013951
Train Epoch: 5 [17920/60000 (30%)] Loss: 0.009150
Train Epoch: 5 [19200/60000 (32%)] Loss: 0.008539
Train Epoch: 5 [20480/60000 (34%)] Loss: 0.006987
Train Epoch: 5 [21760/60000 (36%)] Loss: 0.007026
Train Epoch: 5 [23040/60000 (38%)] Loss: 0.006205
Train Epoch: 5 [24320/60000 (41%)] Loss: 0.006349
Train Epoch: 5 [25600/60000 (43%)] Loss: 0.006247
Train Epoch: 5 [26880/60000 (45%)] Loss: 0.005876
Train Epoch: 5 [28160/60000 (47%)] Loss: 0.006075
Train Epoch: 5 [29440/60000 (49%)] Loss: 0.005686
Train Epoch: 5 [30720/60000 (51%)] Loss: 0.005505
Train Epoch: 5 [32000/60000 (53%)] Loss: 0.005756
Train Epoch: 5 [33280/60000 (55%)] Loss: 0.005244
Train Epoch: 5 [34560/60000 (58%)] Loss: 0.005740
Train Epoch: 5 [35840/60000 (60%)] Loss: 0.005310
Train Epoch: 5 [37120/60000 (62%)] Loss: 0.005304
Train Epoch: 5 [38400/60000 (64%)] Loss: 0.005356
Train Epoch: 5 [39680/60000 (66%)] Loss: 0.005155
Train Epoch: 5 [40960/60000 (68%)] Loss: 0.005331
Train Epoch: 5 [42240/60000 (70%)] Loss: 0.005404
Train Epoch: 5 [43520/60000 (72%)] Loss: 0.005019
Train Epoch: 5 [44800/60000 (75%)] Loss: 0.005085
Train Epoch: 5 [46080/60000 (77%)] Loss: 0.005103
Train Epoch: 5 [47360/60000 (79%)] Loss: 0.006137
Train Epoch: 5 [48640/60000 (81%)] Loss: 0.004943
Train Epoch: 5 [49920/60000 (83%)] Loss: 0.004968
Train Epoch: 5 [51200/60000 (85%)] Loss: 0.005041
Train Epoch: 5 [52480/60000 (87%)] Loss: 0.004831
Train Epoch: 5 [53760/60000 (90%)] Loss: 0.004895
Train Epoch: 5 [55040/60000 (92%)] Loss: 0.004764
Train Epoch: 5 [56320/60000 (94%)] Loss: 0.004856
Train Epoch: 5 [57600/60000 (96%)] Loss: 0.005218
Train Epoch: 5 [58880/60000 (98%)] Loss: 0.004764
====> Epoch: 5 Average loss: 0.0520
====> Test set loss: 0.0049
Train Epoch: 6 [0/60000 (0%)] Loss: 0.004807
Train Epoch: 6 [1280/60000 (2%)] Loss: 0.004767
Train Epoch: 6 [2560/60000 (4%)] Loss: 0.004736
Train Epoch: 6 [3840/60000 (6%)] Loss: 0.004792
Train Epoch: 6 [5120/60000 (9%)] Loss: 0.004667
Train Epoch: 6 [6400/60000 (11%)] Loss: 0.004737
Train Epoch: 6 [7680/60000 (13%)] Loss: 0.005408
Train Epoch: 6 [8960/60000 (15%)] Loss: 0.004668
Train Epoch: 6 [10240/60000 (17%)] Loss: 0.004836
Train Epoch: 6 [11520/60000 (19%)] Loss: 0.004659
Train Epoch: 6 [12800/60000 (21%)] Loss: 0.004656
Train Epoch: 6 [14080/60000 (23%)] Loss: 0.004659
Train Epoch: 6 [15360/60000 (26%)] Loss: 0.004639
Train Epoch: 6 [16640/60000 (28%)] Loss: 0.004660
Train Epoch: 6 [17920/60000 (30%)] Loss: 0.004600
Train Epoch: 6 [19200/60000 (32%)] Loss: 0.004719
Train Epoch: 6 [20480/60000 (34%)] Loss: 0.004702
Train Epoch: 6 [21760/60000 (36%)] Loss: 0.004615
Train Epoch: 6 [23040/60000 (38%)] Loss: 0.004548
Train Epoch: 6 [24320/60000 (41%)] Loss: 0.004582
Train Epoch: 6 [25600/60000 (43%)] Loss: 0.004623
Train Epoch: 6 [26880/60000 (45%)] Loss: 0.004691
Train Epoch: 6 [28160/60000 (47%)] Loss: 0.004614
Train Epoch: 6 [29440/60000 (49%)] Loss: 0.004547
Train Epoch: 6 [30720/60000 (51%)] Loss: 0.004648
Train Epoch: 6 [32000/60000 (53%)] Loss: 0.004883
Train Epoch: 6 [33280/60000 (55%)] Loss: 0.004596
Train Epoch: 6 [34560/60000 (58%)] Loss: 0.004589
Train Epoch: 6 [35840/60000 (60%)] Loss: 0.004583
Train Epoch: 6 [37120/60000 (62%)] Loss: 0.004555
Train Epoch: 6 [38400/60000 (64%)] Loss: 0.004586
Train Epoch: 6 [39680/60000 (66%)] Loss: 0.004584
Train Epoch: 6 [40960/60000 (68%)] Loss: 0.004615
Train Epoch: 6 [42240/60000 (70%)] Loss: 0.004529
Train Epoch: 6 [43520/60000 (72%)] Loss: 0.004575
Train Epoch: 6 [44800/60000 (75%)] Loss: 0.004524
Train Epoch: 6 [46080/60000 (77%)] Loss: 0.004505
Train Epoch: 6 [47360/60000 (79%)] Loss: 0.004558
Train Epoch: 6 [48640/60000 (81%)] Loss: 0.004528
Train Epoch: 6 [49920/60000 (83%)] Loss: 0.004519
Train Epoch: 6 [51200/60000 (85%)] Loss: 0.004511
Train Epoch: 6 [52480/60000 (87%)] Loss: 0.004525
Train Epoch: 6 [53760/60000 (90%)] Loss: 0.004550
Train Epoch: 6 [55040/60000 (92%)] Loss: 0.004550
Train Epoch: 6 [56320/60000 (94%)] Loss: 0.004496
Train Epoch: 6 [57600/60000 (96%)] Loss: 0.004528
Train Epoch: 6 [58880/60000 (98%)] Loss: 0.004476
====> Epoch: 6 Average loss: 0.0046
====> Test set loss: 0.0046
Train Epoch: 7 [0/60000 (0%)] Loss: 0.004514
Train Epoch: 7 [1280/60000 (2%)] Loss: 0.004504
Train Epoch: 7 [2560/60000 (4%)] Loss: 0.004545
Train Epoch: 7 [3840/60000 (6%)] Loss: 0.004580
Train Epoch: 7 [5120/60000 (9%)] Loss: 0.004503
Train Epoch: 7 [6400/60000 (11%)] Loss: 0.004450
Train Epoch: 7 [7680/60000 (13%)] Loss: 0.004482
Train Epoch: 7 [8960/60000 (15%)] Loss: 0.004488
Train Epoch: 7 [10240/60000 (17%)] Loss: 0.004478
Train Epoch: 7 [11520/60000 (19%)] Loss: 0.004486
Train Epoch: 7 [12800/60000 (21%)] Loss: 0.004484
Train Epoch: 7 [14080/60000 (23%)] Loss: 0.004449
Train Epoch: 7 [15360/60000 (26%)] Loss: 0.004524
Train Epoch: 7 [16640/60000 (28%)] Loss: 0.004504
Train Epoch: 7 [17920/60000 (30%)] Loss: 0.004544
Train Epoch: 7 [19200/60000 (32%)] Loss: 0.004409
Train Epoch: 7 [20480/60000 (34%)] Loss: 0.004486
Train Epoch: 7 [21760/60000 (36%)] Loss: 0.004475
Train Epoch: 7 [23040/60000 (38%)] Loss: 0.004482
Train Epoch: 7 [24320/60000 (41%)] Loss: 0.004470
Train Epoch: 7 [25600/60000 (43%)] Loss: 0.004527
Train Epoch: 7 [26880/60000 (45%)] Loss: 0.004426
Train Epoch: 7 [28160/60000 (47%)] Loss: 0.004540
Train Epoch: 7 [29440/60000 (49%)] Loss: 0.004453
Train Epoch: 7 [30720/60000 (51%)] Loss: 0.004447
Train Epoch: 7 [32000/60000 (53%)] Loss: 0.004491
Train Epoch: 7 [33280/60000 (55%)] Loss: 0.004553
Train Epoch: 7 [34560/60000 (58%)] Loss: 0.004528
Train Epoch: 7 [35840/60000 (60%)] Loss: 0.004535
Train Epoch: 7 [37120/60000 (62%)] Loss: 0.004632
Train Epoch: 7 [38400/60000 (64%)] Loss: 0.004437
Train Epoch: 7 [39680/60000 (66%)] Loss: 0.004426
Train Epoch: 7 [40960/60000 (68%)] Loss: 0.004439
Train Epoch: 7 [42240/60000 (70%)] Loss: 0.004516
Train Epoch: 7 [43520/60000 (72%)] Loss: 0.004418
Train Epoch: 7 [44800/60000 (75%)] Loss: 0.004517
Train Epoch: 7 [46080/60000 (77%)] Loss: 0.004555
Train Epoch: 7 [47360/60000 (79%)] Loss: 0.004431
Train Epoch: 7 [48640/60000 (81%)] Loss: 0.004515
Train Epoch: 7 [49920/60000 (83%)] Loss: 0.004450
Train Epoch: 7 [51200/60000 (85%)] Loss: 0.004425
Train Epoch: 7 [52480/60000 (87%)] Loss: 0.004420
Train Epoch: 7 [53760/60000 (90%)] Loss: 0.004440
Train Epoch: 7 [55040/60000 (92%)] Loss: 0.004481
Train Epoch: 7 [56320/60000 (94%)] Loss: 0.004434
Train Epoch: 7 [57600/60000 (96%)] Loss: 0.004491
Train Epoch: 7 [58880/60000 (98%)] Loss: 0.004455
====> Epoch: 7 Average loss: 0.0045
====> Test set loss: 0.0045
Train Epoch: 8 [0/60000 (0%)] Loss: 0.004437
Train Epoch: 8 [1280/60000 (2%)] Loss: 0.004460
Train Epoch: 8 [2560/60000 (4%)] Loss: 0.004431
Train Epoch: 8 [3840/60000 (6%)] Loss: 0.004426
Train Epoch: 8 [5120/60000 (9%)] Loss: 0.004444
Train Epoch: 8 [6400/60000 (11%)] Loss: 0.004423
Train Epoch: 8 [7680/60000 (13%)] Loss: 0.004403
Train Epoch: 8 [8960/60000 (15%)] Loss: 0.004440
Train Epoch: 8 [10240/60000 (17%)] Loss: 0.004400
Train Epoch: 8 [11520/60000 (19%)] Loss: 0.004398
Train Epoch: 8 [12800/60000 (21%)] Loss: 0.004438
Train Epoch: 8 [14080/60000 (23%)] Loss: 0.004409
Train Epoch: 8 [15360/60000 (26%)] Loss: 0.004452
Train Epoch: 8 [16640/60000 (28%)] Loss: 0.004483
Train Epoch: 8 [17920/60000 (30%)] Loss: 0.004462
Train Epoch: 8 [19200/60000 (32%)] Loss: 0.004476
Train Epoch: 8 [20480/60000 (34%)] Loss: 0.004473
Train Epoch: 8 [21760/60000 (36%)] Loss: 0.004481
Train Epoch: 8 [23040/60000 (38%)] Loss: 0.004442
Train Epoch: 8 [24320/60000 (41%)] Loss: 0.004443
Train Epoch: 8 [25600/60000 (43%)] Loss: 0.004461
Train Epoch: 8 [26880/60000 (45%)] Loss: 0.004411
Train Epoch: 8 [28160/60000 (47%)] Loss: 0.004417
Train Epoch: 8 [29440/60000 (49%)] Loss: 0.004446
Train Epoch: 8 [30720/60000 (51%)] Loss: 0.004459
Train Epoch: 8 [32000/60000 (53%)] Loss: 0.004435
Train Epoch: 8 [33280/60000 (55%)] Loss: 0.004415
Train Epoch: 8 [34560/60000 (58%)] Loss: 0.004403
Train Epoch: 8 [35840/60000 (60%)] Loss: 0.004411
Train Epoch: 8 [37120/60000 (62%)] Loss: 0.004443
Train Epoch: 8 [38400/60000 (64%)] Loss: 0.004458
Train Epoch: 8 [39680/60000 (66%)] Loss: 0.004413
Train Epoch: 8 [40960/60000 (68%)] Loss: 0.004378
Train Epoch: 8 [42240/60000 (70%)] Loss: 0.004390
Train Epoch: 8 [43520/60000 (72%)] Loss: 0.004435
Train Epoch: 8 [44800/60000 (75%)] Loss: 0.004373
Train Epoch: 8 [46080/60000 (77%)] Loss: 0.004426
Train Epoch: 8 [47360/60000 (79%)] Loss: 0.004434
Train Epoch: 8 [48640/60000 (81%)] Loss: 0.004391
Train Epoch: 8 [49920/60000 (83%)] Loss: 0.004397
Train Epoch: 8 [51200/60000 (85%)] Loss: 0.004525
Train Epoch: 8 [52480/60000 (87%)] Loss: 0.004475
Train Epoch: 8 [53760/60000 (90%)] Loss: 0.004390
Train Epoch: 8 [55040/60000 (92%)] Loss: 0.004388
Train Epoch: 8 [56320/60000 (94%)] Loss: 0.004420
Train Epoch: 8 [57600/60000 (96%)] Loss: 0.004397
Train Epoch: 8 [58880/60000 (98%)] Loss: 0.004409
====> Epoch: 8 Average loss: 0.0044
====> Test set loss: 0.0045
Train Epoch: 9 [0/60000 (0%)] Loss: 0.004437
Train Epoch: 9 [1280/60000 (2%)] Loss: 0.004451
Train Epoch: 9 [2560/60000 (4%)] Loss: 0.004396
Train Epoch: 9 [3840/60000 (6%)] Loss: 0.004391
Train Epoch: 9 [5120/60000 (9%)] Loss: 0.004387
Train Epoch: 9 [6400/60000 (11%)] Loss: 0.004410
Train Epoch: 9 [7680/60000 (13%)] Loss: 0.004380
Train Epoch: 9 [8960/60000 (15%)] Loss: 0.004374
Train Epoch: 9 [10240/60000 (17%)] Loss: 0.004402
Train Epoch: 9 [11520/60000 (19%)] Loss: 0.004430
Train Epoch: 9 [12800/60000 (21%)] Loss: 0.004401
Train Epoch: 9 [14080/60000 (23%)] Loss: 0.004408
Train Epoch: 9 [15360/60000 (26%)] Loss: 0.004417
Train Epoch: 9 [16640/60000 (28%)] Loss: 0.004373
Train Epoch: 9 [17920/60000 (30%)] Loss: 0.004405
Train Epoch: 9 [19200/60000 (32%)] Loss: 0.004389
Train Epoch: 9 [20480/60000 (34%)] Loss: 0.004395
Train Epoch: 9 [21760/60000 (36%)] Loss: 0.004431
Train Epoch: 9 [23040/60000 (38%)] Loss: 0.004421
Train Epoch: 9 [24320/60000 (41%)] Loss: 0.004383
Train Epoch: 9 [25600/60000 (43%)] Loss: 0.004392
Train Epoch: 9 [26880/60000 (45%)] Loss: 0.004399
Train Epoch: 9 [28160/60000 (47%)] Loss: 0.004376
Train Epoch: 9 [29440/60000 (49%)] Loss: 0.004425
Train Epoch: 9 [30720/60000 (51%)] Loss: 0.004400
Train Epoch: 9 [32000/60000 (53%)] Loss: 0.004364
Train Epoch: 9 [33280/60000 (55%)] Loss: 0.004366
Train Epoch: 9 [34560/60000 (58%)] Loss: 0.004385
Train Epoch: 9 [35840/60000 (60%)] Loss: 0.004384
Train Epoch: 9 [37120/60000 (62%)] Loss: 0.004399
Train Epoch: 9 [38400/60000 (64%)] Loss: 0.004407
Train Epoch: 9 [39680/60000 (66%)] Loss: 0.004407
Train Epoch: 9 [40960/60000 (68%)] Loss: 0.004379
Train Epoch: 9 [42240/60000 (70%)] Loss: 0.004388
Train Epoch: 9 [43520/60000 (72%)] Loss: 0.004385
Train Epoch: 9 [44800/60000 (75%)] Loss: 0.004542
Train Epoch: 9 [46080/60000 (77%)] Loss: 0.004420
Train Epoch: 9 [47360/60000 (79%)] Loss: 0.004430
Train Epoch: 9 [48640/60000 (81%)] Loss: 0.004403
Train Epoch: 9 [49920/60000 (83%)] Loss: 0.004386
Train Epoch: 9 [51200/60000 (85%)] Loss: 0.004417
Train Epoch: 9 [52480/60000 (87%)] Loss: 0.004391
Train Epoch: 9 [53760/60000 (90%)] Loss: 0.004362
Train Epoch: 9 [55040/60000 (92%)] Loss: 0.004462
Train Epoch: 9 [56320/60000 (94%)] Loss: 0.004399
Train Epoch: 9 [57600/60000 (96%)] Loss: 0.004398
Train Epoch: 9 [58880/60000 (98%)] Loss: 0.004367
====> Epoch: 9 Average loss: 0.0044
====> Test set loss: 0.0044
Train Epoch: 10 [0/60000 (0%)] Loss: 0.004323
Train Epoch: 10 [1280/60000 (2%)] Loss: 0.004355
Train Epoch: 10 [2560/60000 (4%)] Loss: 0.004386
Train Epoch: 10 [3840/60000 (6%)] Loss: 0.004397
Train Epoch: 10 [5120/60000 (9%)] Loss: 0.004358
Train Epoch: 10 [6400/60000 (11%)] Loss: 0.004411
Train Epoch: 10 [7680/60000 (13%)] Loss: 0.004365
Train Epoch: 10 [8960/60000 (15%)] Loss: 0.004434
Train Epoch: 10 [10240/60000 (17%)] Loss: 0.004377
Train Epoch: 10 [11520/60000 (19%)] Loss: 0.004390
Train Epoch: 10 [12800/60000 (21%)] Loss: 0.004371
Train Epoch: 10 [14080/60000 (23%)] Loss: 0.004403
Train Epoch: 10 [15360/60000 (26%)] Loss: 0.004381
Train Epoch: 10 [16640/60000 (28%)] Loss: 0.004358
Train Epoch: 10 [17920/60000 (30%)] Loss: 0.004396
Train Epoch: 10 [19200/60000 (32%)] Loss: 0.004381
Train Epoch: 10 [20480/60000 (34%)] Loss: 0.004423
Train Epoch: 10 [21760/60000 (36%)] Loss: 0.004344
Train Epoch: 10 [23040/60000 (38%)] Loss: 0.004355
Train Epoch: 10 [24320/60000 (41%)] Loss: 0.004377
Train Epoch: 10 [25600/60000 (43%)] Loss: 0.004378
Train Epoch: 10 [26880/60000 (45%)] Loss: 0.004405
Train Epoch: 10 [28160/60000 (47%)] Loss: 0.004376
Train Epoch: 10 [29440/60000 (49%)] Loss: 0.004337
Train Epoch: 10 [30720/60000 (51%)] Loss: 0.004411
Train Epoch: 10 [32000/60000 (53%)] Loss: 0.004388
Train Epoch: 10 [33280/60000 (55%)] Loss: 0.004386
Train Epoch: 10 [34560/60000 (58%)] Loss: 0.004352
Train Epoch: 10 [35840/60000 (60%)] Loss: 0.004383
Train Epoch: 10 [37120/60000 (62%)] Loss: 0.004365
Train Epoch: 10 [38400/60000 (64%)] Loss: 0.004387
Train Epoch: 10 [39680/60000 (66%)] Loss: 0.004340
Train Epoch: 10 [40960/60000 (68%)] Loss: 0.004392
Train Epoch: 10 [42240/60000 (70%)] Loss: 0.004356
Train Epoch: 10 [43520/60000 (72%)] Loss: 0.004353
Train Epoch: 10 [44800/60000 (75%)] Loss: 0.004366
Train Epoch: 10 [46080/60000 (77%)] Loss: 0.004395
Train Epoch: 10 [47360/60000 (79%)] Loss: 0.004378
Train Epoch: 10 [48640/60000 (81%)] Loss: 0.004434
Train Epoch: 10 [49920/60000 (83%)] Loss: 0.004351
Train Epoch: 10 [51200/60000 (85%)] Loss: 0.004349
Train Epoch: 10 [52480/60000 (87%)] Loss: 0.004360
Train Epoch: 10 [53760/60000 (90%)] Loss: 0.004375
Train Epoch: 10 [55040/60000 (92%)] Loss: 0.004343
Train Epoch: 10 [56320/60000 (94%)] Loss: 0.004380
Train Epoch: 10 [57600/60000 (96%)] Loss: 0.004387
Train Epoch: 10 [58880/60000 (98%)] Loss: 0.004382
====> Epoch: 10 Average loss: 0.0044
====> Test set loss: 0.0044
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