Files already downloaded and verified
Files already downloaded and verified
Train Epoch: 1 [0/50000 (0%)]	Loss: 4.755662
Train Epoch: 1 [1280/50000 (3%)]	Loss: 5.030169
Train Epoch: 1 [2560/50000 (5%)]	Loss: 4.841227
Train Epoch: 1 [3840/50000 (8%)]	Loss: 4.786143
Train Epoch: 1 [5120/50000 (10%)]	Loss: 4.459754
Train Epoch: 1 [6400/50000 (13%)]	Loss: 4.407132
Train Epoch: 1 [7680/50000 (15%)]	Loss: 4.374027
Train Epoch: 1 [8960/50000 (18%)]	Loss: 4.232934
Train Epoch: 1 [10240/50000 (20%)]	Loss: 4.290956
Train Epoch: 1 [11520/50000 (23%)]	Loss: 4.145566
Train Epoch: 1 [12800/50000 (26%)]	Loss: 4.169194
Train Epoch: 1 [14080/50000 (28%)]	Loss: 4.151683
Train Epoch: 1 [15360/50000 (31%)]	Loss: 4.178747
Train Epoch: 1 [16640/50000 (33%)]	Loss: 4.198757
Train Epoch: 1 [17920/50000 (36%)]	Loss: 4.105360
Train Epoch: 1 [19200/50000 (38%)]	Loss: 4.168172
Train Epoch: 1 [20480/50000 (41%)]	Loss: 4.157628
Train Epoch: 1 [21760/50000 (43%)]	Loss: 4.188704
Train Epoch: 1 [23040/50000 (46%)]	Loss: 4.194300
Train Epoch: 1 [24320/50000 (49%)]	Loss: 4.215795
Train Epoch: 1 [25600/50000 (51%)]	Loss: 4.131073
Train Epoch: 1 [26880/50000 (54%)]	Loss: 4.182586
Train Epoch: 1 [28160/50000 (56%)]	Loss: 3.998555
Train Epoch: 1 [29440/50000 (59%)]	Loss: 4.215278
Train Epoch: 1 [30720/50000 (61%)]	Loss: 4.004670
Train Epoch: 1 [32000/50000 (64%)]	Loss: 4.174363
Train Epoch: 1 [33280/50000 (66%)]	Loss: 4.132600
Train Epoch: 1 [34560/50000 (69%)]	Loss: 4.072298
Train Epoch: 1 [35840/50000 (72%)]	Loss: 4.096325
Train Epoch: 1 [37120/50000 (74%)]	Loss: 4.050774
Train Epoch: 1 [38400/50000 (77%)]	Loss: 3.980165
Train Epoch: 1 [39680/50000 (79%)]	Loss: 4.174046
Train Epoch: 1 [40960/50000 (82%)]	Loss: 3.984317
Train Epoch: 1 [42240/50000 (84%)]	Loss: 3.932480
Train Epoch: 1 [43520/50000 (87%)]	Loss: 4.115549
Train Epoch: 1 [44800/50000 (90%)]	Loss: 4.035708
Train Epoch: 1 [46080/50000 (92%)]	Loss: 3.924442
Train Epoch: 1 [47360/50000 (95%)]	Loss: 3.839104
Train Epoch: 1 [48640/50000 (97%)]	Loss: 3.883626
Train Epoch: 1 [31200/50000 (100%)]	Loss: 3.992378
================================================================
Test: Average loss: 3.6981, Accuracy: 1433/10000 (14%)
================================================================
Train Epoch: 2 [0/50000 (0%)]	Loss: 3.810145
Train Epoch: 2 [1280/50000 (3%)]	Loss: 3.951318
Train Epoch: 2 [2560/50000 (5%)]	Loss: 3.960447
Train Epoch: 2 [3840/50000 (8%)]	Loss: 3.860343
Train Epoch: 2 [5120/50000 (10%)]	Loss: 4.055019
Train Epoch: 2 [6400/50000 (13%)]	Loss: 3.811021
Train Epoch: 2 [7680/50000 (15%)]	Loss: 3.692920
Train Epoch: 2 [8960/50000 (18%)]	Loss: 3.817815
Train Epoch: 2 [10240/50000 (20%)]	Loss: 3.948060
Train Epoch: 2 [11520/50000 (23%)]	Loss: 3.950749
Train Epoch: 2 [12800/50000 (26%)]	Loss: 3.891963
Train Epoch: 2 [14080/50000 (28%)]	Loss: 3.844876
Train Epoch: 2 [15360/50000 (31%)]	Loss: 3.817411
Train Epoch: 2 [16640/50000 (33%)]	Loss: 3.782903
Train Epoch: 2 [17920/50000 (36%)]	Loss: 3.901819
Train Epoch: 2 [19200/50000 (38%)]	Loss: 3.810266
Train Epoch: 2 [20480/50000 (41%)]	Loss: 3.964176
Train Epoch: 2 [21760/50000 (43%)]	Loss: 3.847332
Train Epoch: 2 [23040/50000 (46%)]	Loss: 3.937854
Train Epoch: 2 [24320/50000 (49%)]	Loss: 3.795752
Train Epoch: 2 [25600/50000 (51%)]	Loss: 3.528137
Train Epoch: 2 [26880/50000 (54%)]	Loss: 3.814776
Train Epoch: 2 [28160/50000 (56%)]	Loss: 3.678475
Train Epoch: 2 [29440/50000 (59%)]	Loss: 3.961612
Train Epoch: 2 [30720/50000 (61%)]	Loss: 3.663087
Train Epoch: 2 [32000/50000 (64%)]	Loss: 3.873409
Train Epoch: 2 [33280/50000 (66%)]	Loss: 3.692985
Train Epoch: 2 [34560/50000 (69%)]	Loss: 3.662826
Train Epoch: 2 [35840/50000 (72%)]	Loss: 3.731896
Train Epoch: 2 [37120/50000 (74%)]	Loss: 3.936469
Train Epoch: 2 [38400/50000 (77%)]	Loss: 3.484072
Train Epoch: 2 [39680/50000 (79%)]	Loss: 3.742734
Train Epoch: 2 [40960/50000 (82%)]	Loss: 3.679100
Train Epoch: 2 [42240/50000 (84%)]	Loss: 3.699717
Train Epoch: 2 [43520/50000 (87%)]	Loss: 3.721648
Train Epoch: 2 [44800/50000 (90%)]	Loss: 3.646985
Train Epoch: 2 [46080/50000 (92%)]	Loss: 3.702456
Train Epoch: 2 [47360/50000 (95%)]	Loss: 3.595465
Train Epoch: 2 [48640/50000 (97%)]	Loss: 3.644699
Train Epoch: 2 [31200/50000 (100%)]	Loss: 3.737961
================================================================
Test: Average loss: 3.4419, Accuracy: 1924/10000 (19%)
================================================================
Train Epoch: 3 [0/50000 (0%)]	Loss: 3.755794
Train Epoch: 3 [1280/50000 (3%)]	Loss: 3.708717
Train Epoch: 3 [2560/50000 (5%)]	Loss: 3.553324
Train Epoch: 3 [3840/50000 (8%)]	Loss: 3.869191
Train Epoch: 3 [5120/50000 (10%)]	Loss: 3.844425
Train Epoch: 3 [6400/50000 (13%)]	Loss: 3.581373
Train Epoch: 3 [7680/50000 (15%)]	Loss: 3.417840
Train Epoch: 3 [8960/50000 (18%)]	Loss: 3.534946
Train Epoch: 3 [10240/50000 (20%)]	Loss: 3.729083
Train Epoch: 3 [11520/50000 (23%)]	Loss: 3.810127
Train Epoch: 3 [12800/50000 (26%)]	Loss: 3.508777
Train Epoch: 3 [14080/50000 (28%)]	Loss: 3.488708
Train Epoch: 3 [15360/50000 (31%)]	Loss: 3.535912
Train Epoch: 3 [16640/50000 (33%)]	Loss: 3.610461
Train Epoch: 3 [17920/50000 (36%)]	Loss: 3.535894
Train Epoch: 3 [19200/50000 (38%)]	Loss: 3.473567
Train Epoch: 3 [20480/50000 (41%)]	Loss: 3.800995
Train Epoch: 3 [21760/50000 (43%)]	Loss: 3.605177
Train Epoch: 3 [23040/50000 (46%)]	Loss: 3.407864
Train Epoch: 3 [24320/50000 (49%)]	Loss: 3.587626
Train Epoch: 3 [25600/50000 (51%)]	Loss: 3.396473
Train Epoch: 3 [26880/50000 (54%)]	Loss: 3.761266
Train Epoch: 3 [28160/50000 (56%)]	Loss: 3.689260
Train Epoch: 3 [29440/50000 (59%)]	Loss: 3.323301
Train Epoch: 3 [30720/50000 (61%)]	Loss: 3.616148
Train Epoch: 3 [32000/50000 (64%)]	Loss: 3.649713
Train Epoch: 3 [33280/50000 (66%)]	Loss: 3.348585
Train Epoch: 3 [34560/50000 (69%)]	Loss: 3.675286
Train Epoch: 3 [35840/50000 (72%)]	Loss: 3.595331
Train Epoch: 3 [37120/50000 (74%)]	Loss: 3.640558
Train Epoch: 3 [38400/50000 (77%)]	Loss: 3.587112
Train Epoch: 3 [39680/50000 (79%)]	Loss: 3.636603
Train Epoch: 3 [40960/50000 (82%)]	Loss: 3.638124
Train Epoch: 3 [42240/50000 (84%)]	Loss: 3.672829
Train Epoch: 3 [43520/50000 (87%)]	Loss: 3.697793
Train Epoch: 3 [44800/50000 (90%)]	Loss: 3.654393
Train Epoch: 3 [46080/50000 (92%)]	Loss: 3.678400
Train Epoch: 3 [47360/50000 (95%)]	Loss: 3.558554
Train Epoch: 3 [48640/50000 (97%)]	Loss: 3.738131
Train Epoch: 3 [31200/50000 (100%)]	Loss: 3.537752
================================================================
Test: Average loss: 3.2381, Accuracy: 2482/10000 (25%)
================================================================
Train Epoch: 4 [0/50000 (0%)]	Loss: 3.628282
Train Epoch: 4 [1280/50000 (3%)]	Loss: 3.371956
Train Epoch: 4 [2560/50000 (5%)]	Loss: 3.438272
Train Epoch: 4 [3840/50000 (8%)]	Loss: 3.589142
Train Epoch: 4 [5120/50000 (10%)]	Loss: 3.560818
Train Epoch: 4 [6400/50000 (13%)]	Loss: 3.402013
Train Epoch: 4 [7680/50000 (15%)]	Loss: 3.309508
Train Epoch: 4 [8960/50000 (18%)]	Loss: 3.432140
Train Epoch: 4 [10240/50000 (20%)]	Loss: 3.316394
Train Epoch: 4 [11520/50000 (23%)]	Loss: 3.525433
Train Epoch: 4 [12800/50000 (26%)]	Loss: 3.426741
Train Epoch: 4 [14080/50000 (28%)]	Loss: 3.410888
Train Epoch: 4 [15360/50000 (31%)]	Loss: 3.413464
Train Epoch: 4 [16640/50000 (33%)]	Loss: 3.386094
Train Epoch: 4 [17920/50000 (36%)]	Loss: 3.555932
Train Epoch: 4 [19200/50000 (38%)]	Loss: 3.429751
Train Epoch: 4 [20480/50000 (41%)]	Loss: 3.437965
Train Epoch: 4 [21760/50000 (43%)]	Loss: 3.295954
Train Epoch: 4 [23040/50000 (46%)]	Loss: 3.523974
Train Epoch: 4 [24320/50000 (49%)]	Loss: 3.398928
Train Epoch: 4 [25600/50000 (51%)]	Loss: 3.429033
Train Epoch: 4 [26880/50000 (54%)]	Loss: 3.558707
Train Epoch: 4 [28160/50000 (56%)]	Loss: 3.519259
Train Epoch: 4 [29440/50000 (59%)]	Loss: 3.380735
Train Epoch: 4 [30720/50000 (61%)]	Loss: 3.417143
Train Epoch: 4 [32000/50000 (64%)]	Loss: 3.310360
Train Epoch: 4 [33280/50000 (66%)]	Loss: 3.384402
Train Epoch: 4 [34560/50000 (69%)]	Loss: 3.478352
Train Epoch: 4 [35840/50000 (72%)]	Loss: 3.367244
Train Epoch: 4 [37120/50000 (74%)]	Loss: 3.523867
Train Epoch: 4 [38400/50000 (77%)]	Loss: 3.384858
Train Epoch: 4 [39680/50000 (79%)]	Loss: 3.515281
Train Epoch: 4 [40960/50000 (82%)]	Loss: 3.315958
Train Epoch: 4 [42240/50000 (84%)]	Loss: 3.489110
Train Epoch: 4 [43520/50000 (87%)]	Loss: 3.268642
Train Epoch: 4 [44800/50000 (90%)]	Loss: 3.519597
Train Epoch: 4 [46080/50000 (92%)]	Loss: 3.431866
Train Epoch: 4 [47360/50000 (95%)]	Loss: 3.571809
Train Epoch: 4 [48640/50000 (97%)]	Loss: 3.434617
Train Epoch: 4 [31200/50000 (100%)]	Loss: 3.391864
================================================================
Test: Average loss: 3.0691, Accuracy: 2839/10000 (28%)
================================================================
Train Epoch: 5 [0/50000 (0%)]	Loss: 3.160744
Train Epoch: 5 [1280/50000 (3%)]	Loss: 3.353050
Train Epoch: 5 [2560/50000 (5%)]	Loss: 3.550002
Train Epoch: 5 [3840/50000 (8%)]	Loss: 3.369402
Train Epoch: 5 [5120/50000 (10%)]	Loss: 3.409060
Train Epoch: 5 [6400/50000 (13%)]	Loss: 3.357499
Train Epoch: 5 [7680/50000 (15%)]	Loss: 3.257317
Train Epoch: 5 [8960/50000 (18%)]	Loss: 3.266653
Train Epoch: 5 [10240/50000 (20%)]	Loss: 3.581650
Train Epoch: 5 [11520/50000 (23%)]	Loss: 3.445109
Train Epoch: 5 [12800/50000 (26%)]	Loss: 3.320188
Train Epoch: 5 [14080/50000 (28%)]	Loss: 3.512733
Train Epoch: 5 [15360/50000 (31%)]	Loss: 3.338741
Train Epoch: 5 [16640/50000 (33%)]	Loss: 3.390822
Train Epoch: 5 [17920/50000 (36%)]	Loss: 3.506899
Train Epoch: 5 [19200/50000 (38%)]	Loss: 3.665454
Train Epoch: 5 [20480/50000 (41%)]	Loss: 3.360641
Train Epoch: 5 [21760/50000 (43%)]	Loss: 3.106460
Train Epoch: 5 [23040/50000 (46%)]	Loss: 3.291772
Train Epoch: 5 [24320/50000 (49%)]	Loss: 3.190621
Train Epoch: 5 [25600/50000 (51%)]	Loss: 3.411027
Train Epoch: 5 [26880/50000 (54%)]	Loss: 3.305315
Train Epoch: 5 [28160/50000 (56%)]	Loss: 3.226223
Train Epoch: 5 [29440/50000 (59%)]	Loss: 3.320945
Train Epoch: 5 [30720/50000 (61%)]	Loss: 3.233596
Train Epoch: 5 [32000/50000 (64%)]	Loss: 3.218231
Train Epoch: 5 [33280/50000 (66%)]	Loss: 3.268382
Train Epoch: 5 [34560/50000 (69%)]	Loss: 3.293850
Train Epoch: 5 [35840/50000 (72%)]	Loss: 3.069033
Train Epoch: 5 [37120/50000 (74%)]	Loss: 3.356106
Train Epoch: 5 [38400/50000 (77%)]	Loss: 3.271420
Train Epoch: 5 [39680/50000 (79%)]	Loss: 3.269510
Train Epoch: 5 [40960/50000 (82%)]	Loss: 3.108391
Train Epoch: 5 [42240/50000 (84%)]	Loss: 3.273164
Train Epoch: 5 [43520/50000 (87%)]	Loss: 3.285291
Train Epoch: 5 [44800/50000 (90%)]	Loss: 3.398058
Train Epoch: 5 [46080/50000 (92%)]	Loss: 3.377384
Train Epoch: 5 [47360/50000 (95%)]	Loss: 3.277296
Train Epoch: 5 [48640/50000 (97%)]	Loss: 3.277181
Train Epoch: 5 [31200/50000 (100%)]	Loss: 3.538720
================================================================
Test: Average loss: 2.9693, Accuracy: 2988/10000 (30%)
================================================================
Train Epoch: 6 [0/50000 (0%)]	Loss: 3.169516
Train Epoch: 6 [1280/50000 (3%)]	Loss: 3.175131
Train Epoch: 6 [2560/50000 (5%)]	Loss: 3.593339
Train Epoch: 6 [3840/50000 (8%)]	Loss: 3.128743
Train Epoch: 6 [5120/50000 (10%)]	Loss: 3.256667
Train Epoch: 6 [6400/50000 (13%)]	Loss: 3.410127
Train Epoch: 6 [7680/50000 (15%)]	Loss: 3.215498
Train Epoch: 6 [8960/50000 (18%)]	Loss: 3.299825
Train Epoch: 6 [10240/50000 (20%)]	Loss: 3.282112
Train Epoch: 6 [11520/50000 (23%)]	Loss: 3.238900
Train Epoch: 6 [12800/50000 (26%)]	Loss: 3.053461
Train Epoch: 6 [14080/50000 (28%)]	Loss: 3.087532
Train Epoch: 6 [15360/50000 (31%)]	Loss: 3.357842
Train Epoch: 6 [16640/50000 (33%)]	Loss: 3.380737
Train Epoch: 6 [17920/50000 (36%)]	Loss: 3.216989
Train Epoch: 6 [19200/50000 (38%)]	Loss: 3.086624
Train Epoch: 6 [20480/50000 (41%)]	Loss: 3.345602
Train Epoch: 6 [21760/50000 (43%)]	Loss: 3.214988
Train Epoch: 6 [23040/50000 (46%)]	Loss: 3.034095
Train Epoch: 6 [24320/50000 (49%)]	Loss: 3.353771
Train Epoch: 6 [25600/50000 (51%)]	Loss: 3.126845
Train Epoch: 6 [26880/50000 (54%)]	Loss: 3.400494
Train Epoch: 6 [28160/50000 (56%)]	Loss: 3.098835
Train Epoch: 6 [29440/50000 (59%)]	Loss: 3.328213
Train Epoch: 6 [30720/50000 (61%)]	Loss: 3.286848
Train Epoch: 6 [32000/50000 (64%)]	Loss: 3.147565
Train Epoch: 6 [33280/50000 (66%)]	Loss: 3.343628
Train Epoch: 6 [34560/50000 (69%)]	Loss: 3.292855
Train Epoch: 6 [35840/50000 (72%)]	Loss: 3.140552
Train Epoch: 6 [37120/50000 (74%)]	Loss: 3.210878
Train Epoch: 6 [38400/50000 (77%)]	Loss: 3.184061
Train Epoch: 6 [39680/50000 (79%)]	Loss: 3.301265
Train Epoch: 6 [40960/50000 (82%)]	Loss: 3.377832
Train Epoch: 6 [42240/50000 (84%)]	Loss: 3.242688
Train Epoch: 6 [43520/50000 (87%)]	Loss: 3.230301
Train Epoch: 6 [44800/50000 (90%)]	Loss: 3.446250
Train Epoch: 6 [46080/50000 (92%)]	Loss: 3.345693
Train Epoch: 6 [47360/50000 (95%)]	Loss: 3.221118
Train Epoch: 6 [48640/50000 (97%)]	Loss: 3.163370
Train Epoch: 6 [31200/50000 (100%)]	Loss: 3.086797
================================================================
Test: Average loss: 2.8323, Accuracy: 3493/10000 (35%)
================================================================
Train Epoch: 7 [0/50000 (0%)]	Loss: 3.246171
Train Epoch: 7 [1280/50000 (3%)]	Loss: 3.267603
Train Epoch: 7 [2560/50000 (5%)]	Loss: 3.228398
Train Epoch: 7 [3840/50000 (8%)]	Loss: 2.952324
Train Epoch: 7 [5120/50000 (10%)]	Loss: 3.214704
Train Epoch: 7 [6400/50000 (13%)]	Loss: 3.059844
Train Epoch: 7 [7680/50000 (15%)]	Loss: 3.315134
Train Epoch: 7 [8960/50000 (18%)]	Loss: 3.219061
Train Epoch: 7 [10240/50000 (20%)]	Loss: 2.983895
Train Epoch: 7 [11520/50000 (23%)]	Loss: 2.983340
Train Epoch: 7 [12800/50000 (26%)]	Loss: 3.235423
Train Epoch: 7 [14080/50000 (28%)]	Loss: 3.004363
Train Epoch: 7 [15360/50000 (31%)]	Loss: 3.289361
Train Epoch: 7 [16640/50000 (33%)]	Loss: 3.051932
Train Epoch: 7 [17920/50000 (36%)]	Loss: 3.041294
Train Epoch: 7 [19200/50000 (38%)]	Loss: 3.123459
Train Epoch: 7 [20480/50000 (41%)]	Loss: 3.180104
Train Epoch: 7 [21760/50000 (43%)]	Loss: 3.177405
Train Epoch: 7 [23040/50000 (46%)]	Loss: 3.228980
Train Epoch: 7 [24320/50000 (49%)]	Loss: 3.057623
Train Epoch: 7 [25600/50000 (51%)]	Loss: 3.104846
Train Epoch: 7 [26880/50000 (54%)]	Loss: 3.108911
Train Epoch: 7 [28160/50000 (56%)]	Loss: 3.301301
Train Epoch: 7 [29440/50000 (59%)]	Loss: 3.155502
Train Epoch: 7 [30720/50000 (61%)]	Loss: 3.129560
Train Epoch: 7 [32000/50000 (64%)]	Loss: 3.292879
Train Epoch: 7 [33280/50000 (66%)]	Loss: 3.221989
Train Epoch: 7 [34560/50000 (69%)]	Loss: 3.273602
Train Epoch: 7 [35840/50000 (72%)]	Loss: 3.277144
Train Epoch: 7 [37120/50000 (74%)]	Loss: 3.056824
Train Epoch: 7 [38400/50000 (77%)]	Loss: 3.092104
Train Epoch: 7 [39680/50000 (79%)]	Loss: 3.024192
Train Epoch: 7 [40960/50000 (82%)]	Loss: 3.195600
Train Epoch: 7 [42240/50000 (84%)]	Loss: 3.123344
Train Epoch: 7 [43520/50000 (87%)]	Loss: 3.169581
Train Epoch: 7 [44800/50000 (90%)]	Loss: 3.344869
Train Epoch: 7 [46080/50000 (92%)]	Loss: 3.055808
Train Epoch: 7 [47360/50000 (95%)]	Loss: 3.120588
Train Epoch: 7 [48640/50000 (97%)]	Loss: 2.906999
Train Epoch: 7 [31200/50000 (100%)]	Loss: 3.215861
================================================================
Test: Average loss: 2.7809, Accuracy: 3616/10000 (36%)
================================================================
Train Epoch: 8 [0/50000 (0%)]	Loss: 3.146569
Train Epoch: 8 [1280/50000 (3%)]	Loss: 3.075327
Train Epoch: 8 [2560/50000 (5%)]	Loss: 3.030196
Train Epoch: 8 [3840/50000 (8%)]	Loss: 3.133881
Train Epoch: 8 [5120/50000 (10%)]	Loss: 3.038255
Train Epoch: 8 [6400/50000 (13%)]	Loss: 2.997786
Train Epoch: 8 [7680/50000 (15%)]	Loss: 2.892350
Train Epoch: 8 [8960/50000 (18%)]	Loss: 3.185158
Train Epoch: 8 [10240/50000 (20%)]	Loss: 3.053573
Train Epoch: 8 [11520/50000 (23%)]	Loss: 2.966957
Train Epoch: 8 [12800/50000 (26%)]	Loss: 3.114603
Train Epoch: 8 [14080/50000 (28%)]	Loss: 3.039617
Train Epoch: 8 [15360/50000 (31%)]	Loss: 3.146034
Train Epoch: 8 [16640/50000 (33%)]	Loss: 3.271506
Train Epoch: 8 [17920/50000 (36%)]	Loss: 3.047044
Train Epoch: 8 [19200/50000 (38%)]	Loss: 3.034659
Train Epoch: 8 [20480/50000 (41%)]	Loss: 3.145652
Train Epoch: 8 [21760/50000 (43%)]	Loss: 3.223525
Train Epoch: 8 [23040/50000 (46%)]	Loss: 3.071627
Train Epoch: 8 [24320/50000 (49%)]	Loss: 3.064435
Train Epoch: 8 [25600/50000 (51%)]	Loss: 3.049221
Train Epoch: 8 [26880/50000 (54%)]	Loss: 3.331752
Train Epoch: 8 [28160/50000 (56%)]	Loss: 3.059088
Train Epoch: 8 [29440/50000 (59%)]	Loss: 3.102213
Train Epoch: 8 [30720/50000 (61%)]	Loss: 2.983584
Train Epoch: 8 [32000/50000 (64%)]	Loss: 3.054223
Train Epoch: 8 [33280/50000 (66%)]	Loss: 2.965925
Train Epoch: 8 [34560/50000 (69%)]	Loss: 2.988136
Train Epoch: 8 [35840/50000 (72%)]	Loss: 3.252670
Train Epoch: 8 [37120/50000 (74%)]	Loss: 3.086635
Train Epoch: 8 [38400/50000 (77%)]	Loss: 3.163775
Train Epoch: 8 [39680/50000 (79%)]	Loss: 3.112506
Train Epoch: 8 [40960/50000 (82%)]	Loss: 3.112227
Train Epoch: 8 [42240/50000 (84%)]	Loss: 3.094882
Train Epoch: 8 [43520/50000 (87%)]	Loss: 2.959738
Train Epoch: 8 [44800/50000 (90%)]	Loss: 3.035676
Train Epoch: 8 [46080/50000 (92%)]	Loss: 3.036451
Train Epoch: 8 [47360/50000 (95%)]	Loss: 3.221718
Train Epoch: 8 [48640/50000 (97%)]	Loss: 2.927495
Train Epoch: 8 [31200/50000 (100%)]	Loss: 3.131116
================================================================
Test: Average loss: 2.7441, Accuracy: 3712/10000 (37%)
================================================================
Train Epoch: 9 [0/50000 (0%)]	Loss: 3.081322
Train Epoch: 9 [1280/50000 (3%)]	Loss: 2.856137
Train Epoch: 9 [2560/50000 (5%)]	Loss: 3.054548
Train Epoch: 9 [3840/50000 (8%)]	Loss: 3.098511
Train Epoch: 9 [5120/50000 (10%)]	Loss: 3.010737
Train Epoch: 9 [6400/50000 (13%)]	Loss: 3.041621
Train Epoch: 9 [7680/50000 (15%)]	Loss: 3.005035
Train Epoch: 9 [8960/50000 (18%)]	Loss: 2.943268
Train Epoch: 9 [10240/50000 (20%)]	Loss: 2.955456
Train Epoch: 9 [11520/50000 (23%)]	Loss: 3.183427
Train Epoch: 9 [12800/50000 (26%)]	Loss: 3.148134
Train Epoch: 9 [14080/50000 (28%)]	Loss: 3.183012
Train Epoch: 9 [15360/50000 (31%)]	Loss: 2.909047
Train Epoch: 9 [16640/50000 (33%)]	Loss: 2.852596
Train Epoch: 9 [17920/50000 (36%)]	Loss: 3.094879
Train Epoch: 9 [19200/50000 (38%)]	Loss: 3.029278
Train Epoch: 9 [20480/50000 (41%)]	Loss: 3.065344
Train Epoch: 9 [21760/50000 (43%)]	Loss: 2.962813
Train Epoch: 9 [23040/50000 (46%)]	Loss: 3.009358
Train Epoch: 9 [24320/50000 (49%)]	Loss: 3.134415
Train Epoch: 9 [25600/50000 (51%)]	Loss: 3.059311
Train Epoch: 9 [26880/50000 (54%)]	Loss: 2.882361
Train Epoch: 9 [28160/50000 (56%)]	Loss: 3.231739
Train Epoch: 9 [29440/50000 (59%)]	Loss: 2.933298
Train Epoch: 9 [30720/50000 (61%)]	Loss: 3.110332
Train Epoch: 9 [32000/50000 (64%)]	Loss: 3.109312
Train Epoch: 9 [33280/50000 (66%)]	Loss: 3.120443
Train Epoch: 9 [34560/50000 (69%)]	Loss: 2.983190
Train Epoch: 9 [35840/50000 (72%)]	Loss: 3.037307
Train Epoch: 9 [37120/50000 (74%)]	Loss: 3.089259
Train Epoch: 9 [38400/50000 (77%)]	Loss: 2.975564
Train Epoch: 9 [39680/50000 (79%)]	Loss: 2.944506
Train Epoch: 9 [40960/50000 (82%)]	Loss: 2.978808
Train Epoch: 9 [42240/50000 (84%)]	Loss: 3.005421
Train Epoch: 9 [43520/50000 (87%)]	Loss: 2.876020
Train Epoch: 9 [44800/50000 (90%)]	Loss: 3.326082
Train Epoch: 9 [46080/50000 (92%)]	Loss: 3.141149
Train Epoch: 9 [47360/50000 (95%)]	Loss: 2.959523
Train Epoch: 9 [48640/50000 (97%)]	Loss: 2.940461
Train Epoch: 9 [31200/50000 (100%)]	Loss: 3.123133
================================================================
Test: Average loss: 2.6447, Accuracy: 3953/10000 (40%)
================================================================
Train Epoch: 10 [0/50000 (0%)]	Loss: 3.067063
Train Epoch: 10 [1280/50000 (3%)]	Loss: 3.106210
Train Epoch: 10 [2560/50000 (5%)]	Loss: 2.919868
Train Epoch: 10 [3840/50000 (8%)]	Loss: 2.883600
Train Epoch: 10 [5120/50000 (10%)]	Loss: 3.136632
Train Epoch: 10 [6400/50000 (13%)]	Loss: 2.915595
Train Epoch: 10 [7680/50000 (15%)]	Loss: 2.989310
Train Epoch: 10 [8960/50000 (18%)]	Loss: 2.951404
Train Epoch: 10 [10240/50000 (20%)]	Loss: 3.178625
Train Epoch: 10 [11520/50000 (23%)]	Loss: 2.955519
Train Epoch: 10 [12800/50000 (26%)]	Loss: 2.959865
Train Epoch: 10 [14080/50000 (28%)]	Loss: 3.014040
Train Epoch: 10 [15360/50000 (31%)]	Loss: 2.916740
Train Epoch: 10 [16640/50000 (33%)]	Loss: 3.021755
Train Epoch: 10 [17920/50000 (36%)]	Loss: 2.875920
Train Epoch: 10 [19200/50000 (38%)]	Loss: 3.281337
Train Epoch: 10 [20480/50000 (41%)]	Loss: 2.977579
Train Epoch: 10 [21760/50000 (43%)]	Loss: 3.160448
Train Epoch: 10 [23040/50000 (46%)]	Loss: 2.863983
Train Epoch: 10 [24320/50000 (49%)]	Loss: 2.903572
Train Epoch: 10 [25600/50000 (51%)]	Loss: 2.888351
Train Epoch: 10 [26880/50000 (54%)]	Loss: 2.870581
Train Epoch: 10 [28160/50000 (56%)]	Loss: 2.850359
Train Epoch: 10 [29440/50000 (59%)]	Loss: 2.894232
Train Epoch: 10 [30720/50000 (61%)]	Loss: 2.806040
Train Epoch: 10 [32000/50000 (64%)]	Loss: 3.208790
Train Epoch: 10 [33280/50000 (66%)]	Loss: 3.004239
Train Epoch: 10 [34560/50000 (69%)]	Loss: 2.836558
Train Epoch: 10 [35840/50000 (72%)]	Loss: 3.105125
Train Epoch: 10 [37120/50000 (74%)]	Loss: 2.972381
Train Epoch: 10 [38400/50000 (77%)]	Loss: 3.056232
Train Epoch: 10 [39680/50000 (79%)]	Loss: 2.923364
Train Epoch: 10 [40960/50000 (82%)]	Loss: 2.815301
Train Epoch: 10 [42240/50000 (84%)]	Loss: 3.244242
Train Epoch: 10 [43520/50000 (87%)]	Loss: 2.914570
Train Epoch: 10 [44800/50000 (90%)]	Loss: 2.939662
Train Epoch: 10 [46080/50000 (92%)]	Loss: 2.677512
Train Epoch: 10 [47360/50000 (95%)]	Loss: 2.985477
Train Epoch: 10 [48640/50000 (97%)]	Loss: 3.014066
Train Epoch: 10 [31200/50000 (100%)]	Loss: 2.882926
================================================================
Test: Average loss: 2.5865, Accuracy: 4171/10000 (42%)
================================================================
Train Epoch: 11 [0/50000 (0%)]	Loss: 2.893059
Train Epoch: 11 [1280/50000 (3%)]	Loss: 2.882839
Train Epoch: 11 [2560/50000 (5%)]	Loss: 2.948553
Train Epoch: 11 [3840/50000 (8%)]	Loss: 3.041962
Train Epoch: 11 [5120/50000 (10%)]	Loss: 3.056387
Train Epoch: 11 [6400/50000 (13%)]	Loss: 2.995294
Train Epoch: 11 [7680/50000 (15%)]	Loss: 3.059189
Train Epoch: 11 [8960/50000 (18%)]	Loss: 3.147121
Train Epoch: 11 [10240/50000 (20%)]	Loss: 3.024217
Train Epoch: 11 [11520/50000 (23%)]	Loss: 2.973428
Train Epoch: 11 [12800/50000 (26%)]	Loss: 3.046124
Train Epoch: 11 [14080/50000 (28%)]	Loss: 3.011428
Train Epoch: 11 [15360/50000 (31%)]	Loss: 2.809084
Train Epoch: 11 [16640/50000 (33%)]	Loss: 2.932194
Train Epoch: 11 [17920/50000 (36%)]	Loss: 2.865553
Train Epoch: 11 [19200/50000 (38%)]	Loss: 2.799754
Train Epoch: 11 [20480/50000 (41%)]	Loss: 2.881766
Train Epoch: 11 [21760/50000 (43%)]	Loss: 3.005463
Train Epoch: 11 [23040/50000 (46%)]	Loss: 2.922346
Train Epoch: 11 [24320/50000 (49%)]	Loss: 2.982645
Train Epoch: 11 [25600/50000 (51%)]	Loss: 2.886945
Train Epoch: 11 [26880/50000 (54%)]	Loss: 2.849808
Train Epoch: 11 [28160/50000 (56%)]	Loss: 3.034198
Train Epoch: 11 [29440/50000 (59%)]	Loss: 2.899766
Train Epoch: 11 [30720/50000 (61%)]	Loss: 2.973521
Train Epoch: 11 [32000/50000 (64%)]	Loss: 2.943575
Train Epoch: 11 [33280/50000 (66%)]	Loss: 2.937703
Train Epoch: 11 [34560/50000 (69%)]	Loss: 3.090340
Train Epoch: 11 [35840/50000 (72%)]	Loss: 2.761405
Train Epoch: 11 [37120/50000 (74%)]	Loss: 2.791329
Train Epoch: 11 [38400/50000 (77%)]	Loss: 3.104659
Train Epoch: 11 [39680/50000 (79%)]	Loss: 2.903813
Train Epoch: 11 [40960/50000 (82%)]	Loss: 2.917232
Train Epoch: 11 [42240/50000 (84%)]	Loss: 2.764243
Train Epoch: 11 [43520/50000 (87%)]	Loss: 2.890113
Train Epoch: 11 [44800/50000 (90%)]	Loss: 2.848643
Train Epoch: 11 [46080/50000 (92%)]	Loss: 3.042328
Train Epoch: 11 [47360/50000 (95%)]	Loss: 2.999424
Train Epoch: 11 [48640/50000 (97%)]	Loss: 3.054374
Train Epoch: 11 [31200/50000 (100%)]	Loss: 2.798347
================================================================
Test: Average loss: 2.5742, Accuracy: 4076/10000 (41%)
================================================================
Train Epoch: 12 [0/50000 (0%)]	Loss: 3.098358
Train Epoch: 12 [1280/50000 (3%)]	Loss: 2.732204
Train Epoch: 12 [2560/50000 (5%)]	Loss: 2.931720
Train Epoch: 12 [3840/50000 (8%)]	Loss: 2.829460
Train Epoch: 12 [5120/50000 (10%)]	Loss: 2.851449
Train Epoch: 12 [6400/50000 (13%)]	Loss: 2.892020
Train Epoch: 12 [7680/50000 (15%)]	Loss: 2.813646
Train Epoch: 12 [8960/50000 (18%)]	Loss: 2.791679
Train Epoch: 12 [10240/50000 (20%)]	Loss: 3.023222
Train Epoch: 12 [11520/50000 (23%)]	Loss: 2.724288
Train Epoch: 12 [12800/50000 (26%)]	Loss: 2.972409
Train Epoch: 12 [14080/50000 (28%)]	Loss: 2.918038
Train Epoch: 12 [15360/50000 (31%)]	Loss: 2.943053
Train Epoch: 12 [16640/50000 (33%)]	Loss: 2.970222
Train Epoch: 12 [17920/50000 (36%)]	Loss: 2.979791
Train Epoch: 12 [19200/50000 (38%)]	Loss: 3.101566
Train Epoch: 12 [20480/50000 (41%)]	Loss: 2.982584
Train Epoch: 12 [21760/50000 (43%)]	Loss: 2.868744
Train Epoch: 12 [23040/50000 (46%)]	Loss: 2.854949
Train Epoch: 12 [24320/50000 (49%)]	Loss: 2.902454
Train Epoch: 12 [25600/50000 (51%)]	Loss: 2.981531
Train Epoch: 12 [26880/50000 (54%)]	Loss: 2.893399
Train Epoch: 12 [28160/50000 (56%)]	Loss: 2.912205
Train Epoch: 12 [29440/50000 (59%)]	Loss: 2.893052
Train Epoch: 12 [30720/50000 (61%)]	Loss: 2.792829
Train Epoch: 12 [32000/50000 (64%)]	Loss: 2.932245
Train Epoch: 12 [33280/50000 (66%)]	Loss: 2.837441
Train Epoch: 12 [34560/50000 (69%)]	Loss: 2.938887
Train Epoch: 12 [35840/50000 (72%)]	Loss: 2.823229
Train Epoch: 12 [37120/50000 (74%)]	Loss: 2.960451
Train Epoch: 12 [38400/50000 (77%)]	Loss: 2.919163
Train Epoch: 12 [39680/50000 (79%)]	Loss: 2.750227
Train Epoch: 12 [40960/50000 (82%)]	Loss: 3.001399
Train Epoch: 12 [42240/50000 (84%)]	Loss: 2.832168
Train Epoch: 12 [43520/50000 (87%)]	Loss: 2.939989
Train Epoch: 12 [44800/50000 (90%)]	Loss: 2.746616
Train Epoch: 12 [46080/50000 (92%)]	Loss: 2.900322
Train Epoch: 12 [47360/50000 (95%)]	Loss: 3.049072
Train Epoch: 12 [48640/50000 (97%)]	Loss: 3.020172
Train Epoch: 12 [31200/50000 (100%)]	Loss: 2.846215
================================================================
Test: Average loss: 2.5223, Accuracy: 4301/10000 (43%)
================================================================
Train Epoch: 13 [0/50000 (0%)]	Loss: 2.876800
Train Epoch: 13 [1280/50000 (3%)]	Loss: 2.803639
Train Epoch: 13 [2560/50000 (5%)]	Loss: 2.771907
Train Epoch: 13 [3840/50000 (8%)]	Loss: 2.899890
Train Epoch: 13 [5120/50000 (10%)]	Loss: 2.729367
Train Epoch: 13 [6400/50000 (13%)]	Loss: 3.097343
Train Epoch: 13 [7680/50000 (15%)]	Loss: 2.879673
Train Epoch: 13 [8960/50000 (18%)]	Loss: 2.660314
Train Epoch: 13 [10240/50000 (20%)]	Loss: 2.774657
Train Epoch: 13 [11520/50000 (23%)]	Loss: 2.932337
Train Epoch: 13 [12800/50000 (26%)]	Loss: 2.768624
Train Epoch: 13 [14080/50000 (28%)]	Loss: 2.976535
Train Epoch: 13 [15360/50000 (31%)]	Loss: 3.065644
Train Epoch: 13 [16640/50000 (33%)]	Loss: 3.025545
Train Epoch: 13 [17920/50000 (36%)]	Loss: 2.862015
Train Epoch: 13 [19200/50000 (38%)]	Loss: 2.918842
Train Epoch: 13 [20480/50000 (41%)]	Loss: 3.024328
Train Epoch: 13 [21760/50000 (43%)]	Loss: 2.823229
Train Epoch: 13 [23040/50000 (46%)]	Loss: 2.870009
Train Epoch: 13 [24320/50000 (49%)]	Loss: 2.670656
Train Epoch: 13 [25600/50000 (51%)]	Loss: 2.692508
Train Epoch: 13 [26880/50000 (54%)]	Loss: 2.877761
Train Epoch: 13 [28160/50000 (56%)]	Loss: 2.757959
Train Epoch: 13 [29440/50000 (59%)]	Loss: 2.886712
Train Epoch: 13 [30720/50000 (61%)]	Loss: 2.866745
Train Epoch: 13 [32000/50000 (64%)]	Loss: 2.829048
Train Epoch: 13 [33280/50000 (66%)]	Loss: 2.928448
Train Epoch: 13 [34560/50000 (69%)]	Loss: 2.921801
Train Epoch: 13 [35840/50000 (72%)]	Loss: 2.977494
Train Epoch: 13 [37120/50000 (74%)]	Loss: 2.813305
Train Epoch: 13 [38400/50000 (77%)]	Loss: 2.637678
Train Epoch: 13 [39680/50000 (79%)]	Loss: 2.950822
Train Epoch: 13 [40960/50000 (82%)]	Loss: 3.059926
Train Epoch: 13 [42240/50000 (84%)]	Loss: 2.973759
Train Epoch: 13 [43520/50000 (87%)]	Loss: 2.970756
Train Epoch: 13 [44800/50000 (90%)]	Loss: 2.857532
Train Epoch: 13 [46080/50000 (92%)]	Loss: 2.770877
Train Epoch: 13 [47360/50000 (95%)]	Loss: 3.143137
Train Epoch: 13 [48640/50000 (97%)]	Loss: 3.135370
Train Epoch: 13 [31200/50000 (100%)]	Loss: 2.711179
================================================================
Test: Average loss: 2.4971, Accuracy: 4396/10000 (44%)
================================================================
Train Epoch: 14 [0/50000 (0%)]	Loss: 2.978432
Train Epoch: 14 [1280/50000 (3%)]	Loss: 2.624212
Train Epoch: 14 [2560/50000 (5%)]	Loss: 2.824210
Train Epoch: 14 [3840/50000 (8%)]	Loss: 2.873249
Train Epoch: 14 [5120/50000 (10%)]	Loss: 2.664891
Train Epoch: 14 [6400/50000 (13%)]	Loss: 2.795937
Train Epoch: 14 [7680/50000 (15%)]	Loss: 2.783025
Train Epoch: 14 [8960/50000 (18%)]	Loss: 2.827264
Train Epoch: 14 [10240/50000 (20%)]	Loss: 2.985981
Train Epoch: 14 [11520/50000 (23%)]	Loss: 2.803230
Train Epoch: 14 [12800/50000 (26%)]	Loss: 2.903565
Train Epoch: 14 [14080/50000 (28%)]	Loss: 2.699305
Train Epoch: 14 [15360/50000 (31%)]	Loss: 2.747130
Train Epoch: 14 [16640/50000 (33%)]	Loss: 2.912222
Train Epoch: 14 [17920/50000 (36%)]	Loss: 2.781832
Train Epoch: 14 [19200/50000 (38%)]	Loss: 2.788493
Train Epoch: 14 [20480/50000 (41%)]	Loss: 2.814859
Train Epoch: 14 [21760/50000 (43%)]	Loss: 2.868992
Train Epoch: 14 [23040/50000 (46%)]	Loss: 2.718059
Train Epoch: 14 [24320/50000 (49%)]	Loss: 2.892019
Train Epoch: 14 [25600/50000 (51%)]	Loss: 2.906645
Train Epoch: 14 [26880/50000 (54%)]	Loss: 2.897725
Train Epoch: 14 [28160/50000 (56%)]	Loss: 2.828593
Train Epoch: 14 [29440/50000 (59%)]	Loss: 2.829227
Train Epoch: 14 [30720/50000 (61%)]	Loss: 2.768699
Train Epoch: 14 [32000/50000 (64%)]	Loss: 2.834113
Train Epoch: 14 [33280/50000 (66%)]	Loss: 2.824332
Train Epoch: 14 [34560/50000 (69%)]	Loss: 2.952209
Train Epoch: 14 [35840/50000 (72%)]	Loss: 2.855521
Train Epoch: 14 [37120/50000 (74%)]	Loss: 3.132030
Train Epoch: 14 [38400/50000 (77%)]	Loss: 2.988759
Train Epoch: 14 [39680/50000 (79%)]	Loss: 2.723049
Train Epoch: 14 [40960/50000 (82%)]	Loss: 2.810146
Train Epoch: 14 [42240/50000 (84%)]	Loss: 2.930254
Train Epoch: 14 [43520/50000 (87%)]	Loss: 2.676327
Train Epoch: 14 [44800/50000 (90%)]	Loss: 2.593295
Train Epoch: 14 [46080/50000 (92%)]	Loss: 2.907599
Train Epoch: 14 [47360/50000 (95%)]	Loss: 3.195270
Train Epoch: 14 [48640/50000 (97%)]	Loss: 2.967870
Train Epoch: 14 [31200/50000 (100%)]	Loss: 2.844798
================================================================
Test: Average loss: 2.4647, Accuracy: 4442/10000 (44%)
================================================================
Train Epoch: 15 [0/50000 (0%)]	Loss: 2.859288
Train Epoch: 15 [1280/50000 (3%)]	Loss: 2.847939
Train Epoch: 15 [2560/50000 (5%)]	Loss: 2.883405
Train Epoch: 15 [3840/50000 (8%)]	Loss: 2.806892
Train Epoch: 15 [5120/50000 (10%)]	Loss: 2.742907
Train Epoch: 15 [6400/50000 (13%)]	Loss: 2.967913
Train Epoch: 15 [7680/50000 (15%)]	Loss: 2.745393
Train Epoch: 15 [8960/50000 (18%)]	Loss: 2.790486
Train Epoch: 15 [10240/50000 (20%)]	Loss: 2.745907
Train Epoch: 15 [11520/50000 (23%)]	Loss: 2.843952
Train Epoch: 15 [12800/50000 (26%)]	Loss: 2.809599
Train Epoch: 15 [14080/50000 (28%)]	Loss: 2.696934
Train Epoch: 15 [15360/50000 (31%)]	Loss: 2.849077
Train Epoch: 15 [16640/50000 (33%)]	Loss: 2.800432
Train Epoch: 15 [17920/50000 (36%)]	Loss: 2.597919
Train Epoch: 15 [19200/50000 (38%)]	Loss: 2.718196
Train Epoch: 15 [20480/50000 (41%)]	Loss: 2.978829
Train Epoch: 15 [21760/50000 (43%)]	Loss: 2.805436
Train Epoch: 15 [23040/50000 (46%)]	Loss: 2.717304
Train Epoch: 15 [24320/50000 (49%)]	Loss: 2.837334
Train Epoch: 15 [25600/50000 (51%)]	Loss: 2.848161
Train Epoch: 15 [26880/50000 (54%)]	Loss: 2.797003
Train Epoch: 15 [28160/50000 (56%)]	Loss: 2.718886
Train Epoch: 15 [29440/50000 (59%)]	Loss: 2.858516
Train Epoch: 15 [30720/50000 (61%)]	Loss: 2.826600
Train Epoch: 15 [32000/50000 (64%)]	Loss: 2.840003
Train Epoch: 15 [33280/50000 (66%)]	Loss: 2.761919
Train Epoch: 15 [34560/50000 (69%)]	Loss: 2.694086
Train Epoch: 15 [35840/50000 (72%)]	Loss: 3.121496
Train Epoch: 15 [37120/50000 (74%)]	Loss: 2.765451
Train Epoch: 15 [38400/50000 (77%)]	Loss: 2.719368
Train Epoch: 15 [39680/50000 (79%)]	Loss: 2.622709
Train Epoch: 15 [40960/50000 (82%)]	Loss: 2.796157
Train Epoch: 15 [42240/50000 (84%)]	Loss: 2.751974
Train Epoch: 15 [43520/50000 (87%)]	Loss: 2.742972
Train Epoch: 15 [44800/50000 (90%)]	Loss: 2.886940
Train Epoch: 15 [46080/50000 (92%)]	Loss: 2.796269
Train Epoch: 15 [47360/50000 (95%)]	Loss: 3.016710
Train Epoch: 15 [48640/50000 (97%)]	Loss: 2.994689
Train Epoch: 15 [31200/50000 (100%)]	Loss: 2.891604
================================================================
Test: Average loss: 2.4494, Accuracy: 4482/10000 (45%)
================================================================
Train Epoch: 16 [0/50000 (0%)]	Loss: 2.728692
Train Epoch: 16 [1280/50000 (3%)]	Loss: 2.781411
Train Epoch: 16 [2560/50000 (5%)]	Loss: 2.832788
Train Epoch: 16 [3840/50000 (8%)]	Loss: 2.769870
Train Epoch: 16 [5120/50000 (10%)]	Loss: 2.573568
Train Epoch: 16 [6400/50000 (13%)]	Loss: 2.860055
Train Epoch: 16 [7680/50000 (15%)]	Loss: 2.675930
Train Epoch: 16 [8960/50000 (18%)]	Loss: 2.754813
Train Epoch: 16 [10240/50000 (20%)]	Loss: 2.850424
Train Epoch: 16 [11520/50000 (23%)]	Loss: 2.766946
Train Epoch: 16 [12800/50000 (26%)]	Loss: 2.693224
Train Epoch: 16 [14080/50000 (28%)]	Loss: 2.791918
Train Epoch: 16 [15360/50000 (31%)]	Loss: 2.755858
Train Epoch: 16 [16640/50000 (33%)]	Loss: 2.577733
Train Epoch: 16 [17920/50000 (36%)]	Loss: 2.729120
Train Epoch: 16 [19200/50000 (38%)]	Loss: 2.687181
Train Epoch: 16 [20480/50000 (41%)]	Loss: 2.899424
Train Epoch: 16 [21760/50000 (43%)]	Loss: 2.861988
Train Epoch: 16 [23040/50000 (46%)]	Loss: 2.738673
Train Epoch: 16 [24320/50000 (49%)]	Loss: 2.870942
Train Epoch: 16 [25600/50000 (51%)]	Loss: 2.703563
Train Epoch: 16 [26880/50000 (54%)]	Loss: 2.890688
Train Epoch: 16 [28160/50000 (56%)]	Loss: 2.777573
Train Epoch: 16 [29440/50000 (59%)]	Loss: 2.617083
Train Epoch: 16 [30720/50000 (61%)]	Loss: 2.691504
Train Epoch: 16 [32000/50000 (64%)]	Loss: 2.754507
Train Epoch: 16 [33280/50000 (66%)]	Loss: 2.962336
Train Epoch: 16 [34560/50000 (69%)]	Loss: 2.811684
Train Epoch: 16 [35840/50000 (72%)]	Loss: 2.724422
Train Epoch: 16 [37120/50000 (74%)]	Loss: 2.813674
Train Epoch: 16 [38400/50000 (77%)]	Loss: 2.810973
Train Epoch: 16 [39680/50000 (79%)]	Loss: 2.897829
Train Epoch: 16 [40960/50000 (82%)]	Loss: 2.657621
Train Epoch: 16 [42240/50000 (84%)]	Loss: 3.005800
Train Epoch: 16 [43520/50000 (87%)]	Loss: 2.639067
Train Epoch: 16 [44800/50000 (90%)]	Loss: 2.842527
Train Epoch: 16 [46080/50000 (92%)]	Loss: 2.823808
Train Epoch: 16 [47360/50000 (95%)]	Loss: 2.520337
Train Epoch: 16 [48640/50000 (97%)]	Loss: 2.909935
Train Epoch: 16 [31200/50000 (100%)]	Loss: 2.811536
================================================================
Test: Average loss: 2.4575, Accuracy: 4537/10000 (45%)
================================================================
Train Epoch: 17 [0/50000 (0%)]	Loss: 2.733917
Train Epoch: 17 [1280/50000 (3%)]	Loss: 2.789484
Train Epoch: 17 [2560/50000 (5%)]	Loss: 2.523765
Train Epoch: 17 [3840/50000 (8%)]	Loss: 2.572038
Train Epoch: 17 [5120/50000 (10%)]	Loss: 2.763552
Train Epoch: 17 [6400/50000 (13%)]	Loss: 2.575835
Train Epoch: 17 [7680/50000 (15%)]	Loss: 2.684781
Train Epoch: 17 [8960/50000 (18%)]	Loss: 2.614424
Train Epoch: 17 [10240/50000 (20%)]	Loss: 2.738837
Train Epoch: 17 [11520/50000 (23%)]	Loss: 2.709569
Train Epoch: 17 [12800/50000 (26%)]	Loss: 2.641600
Train Epoch: 17 [14080/50000 (28%)]	Loss: 2.647849
Train Epoch: 17 [15360/50000 (31%)]	Loss: 2.660915
Train Epoch: 17 [16640/50000 (33%)]	Loss: 2.687260
Train Epoch: 17 [17920/50000 (36%)]	Loss: 2.760531
Train Epoch: 17 [19200/50000 (38%)]	Loss: 2.676476
Train Epoch: 17 [20480/50000 (41%)]	Loss: 2.649029
Train Epoch: 17 [21760/50000 (43%)]	Loss: 2.676006
Train Epoch: 17 [23040/50000 (46%)]	Loss: 2.917258
Train Epoch: 17 [24320/50000 (49%)]	Loss: 2.917063
Train Epoch: 17 [25600/50000 (51%)]	Loss: 2.762154
Train Epoch: 17 [26880/50000 (54%)]	Loss: 2.607337
Train Epoch: 17 [28160/50000 (56%)]	Loss: 2.766435
Train Epoch: 17 [29440/50000 (59%)]	Loss: 2.788107
Train Epoch: 17 [30720/50000 (61%)]	Loss: 2.813735
Train Epoch: 17 [32000/50000 (64%)]	Loss: 2.726447
Train Epoch: 17 [33280/50000 (66%)]	Loss: 2.743845
Train Epoch: 17 [34560/50000 (69%)]	Loss: 2.836127
Train Epoch: 17 [35840/50000 (72%)]	Loss: 2.777512
Train Epoch: 17 [37120/50000 (74%)]	Loss: 2.875385
Train Epoch: 17 [38400/50000 (77%)]	Loss: 2.802216
Train Epoch: 17 [39680/50000 (79%)]	Loss: 2.599682
Train Epoch: 17 [40960/50000 (82%)]	Loss: 2.864553
Train Epoch: 17 [42240/50000 (84%)]	Loss: 2.809527
Train Epoch: 17 [43520/50000 (87%)]	Loss: 2.578705
Train Epoch: 17 [44800/50000 (90%)]	Loss: 2.697824
Train Epoch: 17 [46080/50000 (92%)]	Loss: 2.658385
Train Epoch: 17 [47360/50000 (95%)]	Loss: 2.667382
Train Epoch: 17 [48640/50000 (97%)]	Loss: 2.713403
Train Epoch: 17 [31200/50000 (100%)]	Loss: 2.803202
================================================================
Test: Average loss: 2.4217, Accuracy: 4545/10000 (45%)
================================================================
Train Epoch: 18 [0/50000 (0%)]	Loss: 2.662399
Train Epoch: 18 [1280/50000 (3%)]	Loss: 2.813011
Train Epoch: 18 [2560/50000 (5%)]	Loss: 2.467334
Train Epoch: 18 [3840/50000 (8%)]	Loss: 2.476464
Train Epoch: 18 [5120/50000 (10%)]	Loss: 2.644171
Train Epoch: 18 [6400/50000 (13%)]	Loss: 2.688408
Train Epoch: 18 [7680/50000 (15%)]	Loss: 2.803988
Train Epoch: 18 [8960/50000 (18%)]	Loss: 2.713272
Train Epoch: 18 [10240/50000 (20%)]	Loss: 2.706719
Train Epoch: 18 [11520/50000 (23%)]	Loss: 2.598213
Train Epoch: 18 [12800/50000 (26%)]	Loss: 2.571350
Train Epoch: 18 [14080/50000 (28%)]	Loss: 2.785116
Train Epoch: 18 [15360/50000 (31%)]	Loss: 2.857644
Train Epoch: 18 [16640/50000 (33%)]	Loss: 2.717355
Train Epoch: 18 [17920/50000 (36%)]	Loss: 2.740963
Train Epoch: 18 [19200/50000 (38%)]	Loss: 2.639485
Train Epoch: 18 [20480/50000 (41%)]	Loss: 2.651659
Train Epoch: 18 [21760/50000 (43%)]	Loss: 2.788372
Train Epoch: 18 [23040/50000 (46%)]	Loss: 2.600549
Train Epoch: 18 [24320/50000 (49%)]	Loss: 2.676480
Train Epoch: 18 [25600/50000 (51%)]	Loss: 2.856101
Train Epoch: 18 [26880/50000 (54%)]	Loss: 2.872585
Train Epoch: 18 [28160/50000 (56%)]	Loss: 2.654872
Train Epoch: 18 [29440/50000 (59%)]	Loss: 2.808633
Train Epoch: 18 [30720/50000 (61%)]	Loss: 2.851309
Train Epoch: 18 [32000/50000 (64%)]	Loss: 2.811567
Train Epoch: 18 [33280/50000 (66%)]	Loss: 2.775849
Train Epoch: 18 [34560/50000 (69%)]	Loss: 2.703090
Train Epoch: 18 [35840/50000 (72%)]	Loss: 2.690411
Train Epoch: 18 [37120/50000 (74%)]	Loss: 2.812186
Train Epoch: 18 [38400/50000 (77%)]	Loss: 2.691185
Train Epoch: 18 [39680/50000 (79%)]	Loss: 2.636572
Train Epoch: 18 [40960/50000 (82%)]	Loss: 2.706768
Train Epoch: 18 [42240/50000 (84%)]	Loss: 2.658417
Train Epoch: 18 [43520/50000 (87%)]	Loss: 3.094532
Train Epoch: 18 [44800/50000 (90%)]	Loss: 2.928704
Train Epoch: 18 [46080/50000 (92%)]	Loss: 2.713033
Train Epoch: 18 [47360/50000 (95%)]	Loss: 2.761977
Train Epoch: 18 [48640/50000 (97%)]	Loss: 2.768647
Train Epoch: 18 [31200/50000 (100%)]	Loss: 2.687361
================================================================
Test: Average loss: 2.4152, Accuracy: 4618/10000 (46%)
================================================================
Train Epoch: 19 [0/50000 (0%)]	Loss: 2.674848
Train Epoch: 19 [1280/50000 (3%)]	Loss: 2.606704
Train Epoch: 19 [2560/50000 (5%)]	Loss: 2.749879
Train Epoch: 19 [3840/50000 (8%)]	Loss: 2.526054
Train Epoch: 19 [5120/50000 (10%)]	Loss: 2.682219
Train Epoch: 19 [6400/50000 (13%)]	Loss: 2.622326
Train Epoch: 19 [7680/50000 (15%)]	Loss: 2.554091
Train Epoch: 19 [8960/50000 (18%)]	Loss: 2.844594
Train Epoch: 19 [10240/50000 (20%)]	Loss: 2.769227
Train Epoch: 19 [11520/50000 (23%)]	Loss: 2.554919
Train Epoch: 19 [12800/50000 (26%)]	Loss: 2.754313
Train Epoch: 19 [14080/50000 (28%)]	Loss: 2.438884
Train Epoch: 19 [15360/50000 (31%)]	Loss: 2.639851
Train Epoch: 19 [16640/50000 (33%)]	Loss: 2.599831
Train Epoch: 19 [17920/50000 (36%)]	Loss: 2.688479
Train Epoch: 19 [19200/50000 (38%)]	Loss: 2.763798
Train Epoch: 19 [20480/50000 (41%)]	Loss: 2.638814
Train Epoch: 19 [21760/50000 (43%)]	Loss: 2.728737
Train Epoch: 19 [23040/50000 (46%)]	Loss: 2.704761
Train Epoch: 19 [24320/50000 (49%)]	Loss: 2.663206
Train Epoch: 19 [25600/50000 (51%)]	Loss: 2.843466
Train Epoch: 19 [26880/50000 (54%)]	Loss: 2.688817
Train Epoch: 19 [28160/50000 (56%)]	Loss: 2.793355
Train Epoch: 19 [29440/50000 (59%)]	Loss: 2.767511
Train Epoch: 19 [30720/50000 (61%)]	Loss: 2.596400
Train Epoch: 19 [32000/50000 (64%)]	Loss: 2.671483
Train Epoch: 19 [33280/50000 (66%)]	Loss: 2.694472
Train Epoch: 19 [34560/50000 (69%)]	Loss: 2.696660
Train Epoch: 19 [35840/50000 (72%)]	Loss: 2.697198
Train Epoch: 19 [37120/50000 (74%)]	Loss: 2.645084
Train Epoch: 19 [38400/50000 (77%)]	Loss: 2.691136
Train Epoch: 19 [39680/50000 (79%)]	Loss: 2.675465
Train Epoch: 19 [40960/50000 (82%)]	Loss: 2.689497
Train Epoch: 19 [42240/50000 (84%)]	Loss: 2.778152
Train Epoch: 19 [43520/50000 (87%)]	Loss: 2.698593
Train Epoch: 19 [44800/50000 (90%)]	Loss: 2.902637
Train Epoch: 19 [46080/50000 (92%)]	Loss: 2.694029
Train Epoch: 19 [47360/50000 (95%)]	Loss: 2.676161
Train Epoch: 19 [48640/50000 (97%)]	Loss: 2.831306
Train Epoch: 19 [31200/50000 (100%)]	Loss: 2.915487
================================================================
Test: Average loss: 2.3807, Accuracy: 4687/10000 (47%)
================================================================
Train Epoch: 20 [0/50000 (0%)]	Loss: 2.506789
Train Epoch: 20 [1280/50000 (3%)]	Loss: 2.593975
Train Epoch: 20 [2560/50000 (5%)]	Loss: 2.625148
Train Epoch: 20 [3840/50000 (8%)]	Loss: 2.666904
Train Epoch: 20 [5120/50000 (10%)]	Loss: 2.578653
Train Epoch: 20 [6400/50000 (13%)]	Loss: 2.444675
Train Epoch: 20 [7680/50000 (15%)]	Loss: 2.636395
Train Epoch: 20 [8960/50000 (18%)]	Loss: 2.780795
Train Epoch: 20 [10240/50000 (20%)]	Loss: 2.578378
Train Epoch: 20 [11520/50000 (23%)]	Loss: 2.750709
Train Epoch: 20 [12800/50000 (26%)]	Loss: 2.594621
Train Epoch: 20 [14080/50000 (28%)]	Loss: 2.618199
Train Epoch: 20 [15360/50000 (31%)]	Loss: 2.634077
Train Epoch: 20 [16640/50000 (33%)]	Loss: 2.572479
Train Epoch: 20 [17920/50000 (36%)]	Loss: 2.718077
Train Epoch: 20 [19200/50000 (38%)]	Loss: 2.790406
Train Epoch: 20 [20480/50000 (41%)]	Loss: 2.732816
Train Epoch: 20 [21760/50000 (43%)]	Loss: 2.809815
Train Epoch: 20 [23040/50000 (46%)]	Loss: 2.443495
Train Epoch: 20 [24320/50000 (49%)]	Loss: 2.723688
Train Epoch: 20 [25600/50000 (51%)]	Loss: 2.797401
Train Epoch: 20 [26880/50000 (54%)]	Loss: 2.790462
Train Epoch: 20 [28160/50000 (56%)]	Loss: 2.725318
Train Epoch: 20 [29440/50000 (59%)]	Loss: 2.756500
Train Epoch: 20 [30720/50000 (61%)]	Loss: 2.729732
Train Epoch: 20 [32000/50000 (64%)]	Loss: 2.526523
Train Epoch: 20 [33280/50000 (66%)]	Loss: 2.791458
Train Epoch: 20 [34560/50000 (69%)]	Loss: 2.725360
Train Epoch: 20 [35840/50000 (72%)]	Loss: 2.688098
Train Epoch: 20 [37120/50000 (74%)]	Loss: 2.728642
Train Epoch: 20 [38400/50000 (77%)]	Loss: 2.537055
Train Epoch: 20 [39680/50000 (79%)]	Loss: 2.799609
Train Epoch: 20 [40960/50000 (82%)]	Loss: 2.766721
Train Epoch: 20 [42240/50000 (84%)]	Loss: 2.794951
Train Epoch: 20 [43520/50000 (87%)]	Loss: 2.672725
Train Epoch: 20 [44800/50000 (90%)]	Loss: 2.672691
Train Epoch: 20 [46080/50000 (92%)]	Loss: 2.690646
Train Epoch: 20 [47360/50000 (95%)]	Loss: 2.775974
Train Epoch: 20 [48640/50000 (97%)]	Loss: 2.651033
Train Epoch: 20 [31200/50000 (100%)]	Loss: 2.715604
================================================================
Test: Average loss: 2.4287, Accuracy: 4582/10000 (46%)
================================================================
Train Epoch: 21 [0/50000 (0%)]	Loss: 2.690246
Train Epoch: 21 [1280/50000 (3%)]	Loss: 2.420215
Train Epoch: 21 [2560/50000 (5%)]	Loss: 2.634527
Train Epoch: 21 [3840/50000 (8%)]	Loss: 2.786572
Train Epoch: 21 [5120/50000 (10%)]	Loss: 2.788573
Train Epoch: 21 [6400/50000 (13%)]	Loss: 2.637167
Train Epoch: 21 [7680/50000 (15%)]	Loss: 2.762280
Train Epoch: 21 [8960/50000 (18%)]	Loss: 2.625987
Train Epoch: 21 [10240/50000 (20%)]	Loss: 2.519369
Train Epoch: 21 [11520/50000 (23%)]	Loss: 2.739691
Train Epoch: 21 [12800/50000 (26%)]	Loss: 2.678489
Train Epoch: 21 [14080/50000 (28%)]	Loss: 2.600947
Train Epoch: 21 [15360/50000 (31%)]	Loss: 2.621473
Train Epoch: 21 [16640/50000 (33%)]	Loss: 2.720176
Train Epoch: 21 [17920/50000 (36%)]	Loss: 2.837670
Train Epoch: 21 [19200/50000 (38%)]	Loss: 2.714088
Train Epoch: 21 [20480/50000 (41%)]	Loss: 2.807536
Train Epoch: 21 [21760/50000 (43%)]	Loss: 2.895789
Train Epoch: 21 [23040/50000 (46%)]	Loss: 2.626648
Train Epoch: 21 [24320/50000 (49%)]	Loss: 2.543321
Train Epoch: 21 [25600/50000 (51%)]	Loss: 2.819908
Train Epoch: 21 [26880/50000 (54%)]	Loss: 2.663043
Train Epoch: 21 [28160/50000 (56%)]	Loss: 2.693520
Train Epoch: 21 [29440/50000 (59%)]	Loss: 2.489249
Train Epoch: 21 [30720/50000 (61%)]	Loss: 2.627532
Train Epoch: 21 [32000/50000 (64%)]	Loss: 2.801894
Train Epoch: 21 [33280/50000 (66%)]	Loss: 2.635651
Train Epoch: 21 [34560/50000 (69%)]	Loss: 2.628579
Train Epoch: 21 [35840/50000 (72%)]	Loss: 2.743846
Train Epoch: 21 [37120/50000 (74%)]	Loss: 2.715032
Train Epoch: 21 [38400/50000 (77%)]	Loss: 2.697889
Train Epoch: 21 [39680/50000 (79%)]	Loss: 2.711911
Train Epoch: 21 [40960/50000 (82%)]	Loss: 2.740644
Train Epoch: 21 [42240/50000 (84%)]	Loss: 2.637010
Train Epoch: 21 [43520/50000 (87%)]	Loss: 2.682182
Train Epoch: 21 [44800/50000 (90%)]	Loss: 2.594230
Train Epoch: 21 [46080/50000 (92%)]	Loss: 2.792471
Train Epoch: 21 [47360/50000 (95%)]	Loss: 2.759549
Train Epoch: 21 [48640/50000 (97%)]	Loss: 2.584174
Train Epoch: 21 [31200/50000 (100%)]	Loss: 2.800447
================================================================
Test: Average loss: 2.3829, Accuracy: 4780/10000 (48%)
================================================================
Train Epoch: 22 [0/50000 (0%)]	Loss: 2.728865
Train Epoch: 22 [1280/50000 (3%)]	Loss: 2.534435
Train Epoch: 22 [2560/50000 (5%)]	Loss: 2.501178
Train Epoch: 22 [3840/50000 (8%)]	Loss: 2.617827
Train Epoch: 22 [5120/50000 (10%)]	Loss: 2.692698
Train Epoch: 22 [6400/50000 (13%)]	Loss: 2.795655
Train Epoch: 22 [7680/50000 (15%)]	Loss: 2.673959
Train Epoch: 22 [8960/50000 (18%)]	Loss: 2.653437
Train Epoch: 22 [10240/50000 (20%)]	Loss: 2.652508
Train Epoch: 22 [11520/50000 (23%)]	Loss: 2.574653
Train Epoch: 22 [12800/50000 (26%)]	Loss: 2.576679
Train Epoch: 22 [14080/50000 (28%)]	Loss: 2.432328
Train Epoch: 22 [15360/50000 (31%)]	Loss: 2.564299
Train Epoch: 22 [16640/50000 (33%)]	Loss: 2.544313
Train Epoch: 22 [17920/50000 (36%)]	Loss: 2.774946
Train Epoch: 22 [19200/50000 (38%)]	Loss: 2.752350
Train Epoch: 22 [20480/50000 (41%)]	Loss: 2.719062
Train Epoch: 22 [21760/50000 (43%)]	Loss: 2.623732
Train Epoch: 22 [23040/50000 (46%)]	Loss: 2.860437
Train Epoch: 22 [24320/50000 (49%)]	Loss: 2.704024
Train Epoch: 22 [25600/50000 (51%)]	Loss: 2.789326
Train Epoch: 22 [26880/50000 (54%)]	Loss: 2.686328
Train Epoch: 22 [28160/50000 (56%)]	Loss: 2.391371
Train Epoch: 22 [29440/50000 (59%)]	Loss: 2.672961
Train Epoch: 22 [30720/50000 (61%)]	Loss: 2.885648
Train Epoch: 22 [32000/50000 (64%)]	Loss: 2.505459
Train Epoch: 22 [33280/50000 (66%)]	Loss: 2.800778
Train Epoch: 22 [34560/50000 (69%)]	Loss: 2.522370
Train Epoch: 22 [35840/50000 (72%)]	Loss: 2.617932
Train Epoch: 22 [37120/50000 (74%)]	Loss: 2.616057
Train Epoch: 22 [38400/50000 (77%)]	Loss: 2.751383
Train Epoch: 22 [39680/50000 (79%)]	Loss: 2.710076
Train Epoch: 22 [40960/50000 (82%)]	Loss: 2.759353
Train Epoch: 22 [42240/50000 (84%)]	Loss: 2.540313
Train Epoch: 22 [43520/50000 (87%)]	Loss: 2.649903
Train Epoch: 22 [44800/50000 (90%)]	Loss: 2.821312
Train Epoch: 22 [46080/50000 (92%)]	Loss: 2.556637
Train Epoch: 22 [47360/50000 (95%)]	Loss: 2.715009
Train Epoch: 22 [48640/50000 (97%)]	Loss: 2.643620
Train Epoch: 22 [31200/50000 (100%)]	Loss: 2.700069
================================================================
Test: Average loss: 2.3633, Accuracy: 4695/10000 (47%)
================================================================
Train Epoch: 23 [0/50000 (0%)]	Loss: 2.628941
Train Epoch: 23 [1280/50000 (3%)]	Loss: 2.646125
Train Epoch: 23 [2560/50000 (5%)]	Loss: 2.751244
Train Epoch: 23 [3840/50000 (8%)]	Loss: 2.535558
Train Epoch: 23 [5120/50000 (10%)]	Loss: 2.483396
Train Epoch: 23 [6400/50000 (13%)]	Loss: 2.610295
Train Epoch: 23 [7680/50000 (15%)]	Loss: 2.609527
Train Epoch: 23 [8960/50000 (18%)]	Loss: 2.553054
Train Epoch: 23 [10240/50000 (20%)]	Loss: 2.734121
Train Epoch: 23 [11520/50000 (23%)]	Loss: 2.570689
Train Epoch: 23 [12800/50000 (26%)]	Loss: 2.715000
Train Epoch: 23 [14080/50000 (28%)]	Loss: 2.642318
Train Epoch: 23 [15360/50000 (31%)]	Loss: 2.412402
Train Epoch: 23 [16640/50000 (33%)]	Loss: 2.673122
Train Epoch: 23 [17920/50000 (36%)]	Loss: 2.707726
Train Epoch: 23 [19200/50000 (38%)]	Loss: 2.592066
Train Epoch: 23 [20480/50000 (41%)]	Loss: 2.731359
Train Epoch: 23 [21760/50000 (43%)]	Loss: 2.658681
Train Epoch: 23 [23040/50000 (46%)]	Loss: 2.762396
Train Epoch: 23 [24320/50000 (49%)]	Loss: 2.445573
Train Epoch: 23 [25600/50000 (51%)]	Loss: 2.656425
Train Epoch: 23 [26880/50000 (54%)]	Loss: 2.504661
Train Epoch: 23 [28160/50000 (56%)]	Loss: 2.585104
Train Epoch: 23 [29440/50000 (59%)]	Loss: 2.664219
Train Epoch: 23 [30720/50000 (61%)]	Loss: 2.687070
Train Epoch: 23 [32000/50000 (64%)]	Loss: 2.634233
Train Epoch: 23 [33280/50000 (66%)]	Loss: 2.675988
Train Epoch: 23 [34560/50000 (69%)]	Loss: 2.644572
Train Epoch: 23 [35840/50000 (72%)]	Loss: 2.469423
Train Epoch: 23 [37120/50000 (74%)]	Loss: 2.660848
Train Epoch: 23 [38400/50000 (77%)]	Loss: 2.874902
Train Epoch: 23 [39680/50000 (79%)]	Loss: 2.672939
Train Epoch: 23 [40960/50000 (82%)]	Loss: 2.666660
Train Epoch: 23 [42240/50000 (84%)]	Loss: 2.780888
Train Epoch: 23 [43520/50000 (87%)]	Loss: 2.693751
Train Epoch: 23 [44800/50000 (90%)]	Loss: 2.627464
Train Epoch: 23 [46080/50000 (92%)]	Loss: 2.573478
Train Epoch: 23 [47360/50000 (95%)]	Loss: 2.688867
Train Epoch: 23 [48640/50000 (97%)]	Loss: 2.611899
Train Epoch: 23 [31200/50000 (100%)]	Loss: 2.585088
================================================================
Test: Average loss: 2.3443, Accuracy: 4742/10000 (47%)
================================================================
Train Epoch: 24 [0/50000 (0%)]	Loss: 2.645133
Train Epoch: 24 [1280/50000 (3%)]	Loss: 2.563232
Train Epoch: 24 [2560/50000 (5%)]	Loss: 2.485692
Train Epoch: 24 [3840/50000 (8%)]	Loss: 2.409947
Train Epoch: 24 [5120/50000 (10%)]	Loss: 2.728881
Train Epoch: 24 [6400/50000 (13%)]	Loss: 2.644924
Train Epoch: 24 [7680/50000 (15%)]	Loss: 2.545882
Train Epoch: 24 [8960/50000 (18%)]	Loss: 2.793090
Train Epoch: 24 [10240/50000 (20%)]	Loss: 2.554077
Train Epoch: 24 [11520/50000 (23%)]	Loss: 2.690244
Train Epoch: 24 [12800/50000 (26%)]	Loss: 2.616625
Train Epoch: 24 [14080/50000 (28%)]	Loss: 2.789668
Train Epoch: 24 [15360/50000 (31%)]	Loss: 2.529745
Train Epoch: 24 [16640/50000 (33%)]	Loss: 2.676414
Train Epoch: 24 [17920/50000 (36%)]	Loss: 2.696231
Train Epoch: 24 [19200/50000 (38%)]	Loss: 2.657694
Train Epoch: 24 [20480/50000 (41%)]	Loss: 2.600201
Train Epoch: 24 [21760/50000 (43%)]	Loss: 2.619180
Train Epoch: 24 [23040/50000 (46%)]	Loss: 2.543732
Train Epoch: 24 [24320/50000 (49%)]	Loss: 2.532717
Train Epoch: 24 [25600/50000 (51%)]	Loss: 2.639760
Train Epoch: 24 [26880/50000 (54%)]	Loss: 2.518545
Train Epoch: 24 [28160/50000 (56%)]	Loss: 2.548158
Train Epoch: 24 [29440/50000 (59%)]	Loss: 2.759536
Train Epoch: 24 [30720/50000 (61%)]	Loss: 2.674108
Train Epoch: 24 [32000/50000 (64%)]	Loss: 2.469064
Train Epoch: 24 [33280/50000 (66%)]	Loss: 2.653969
Train Epoch: 24 [34560/50000 (69%)]	Loss: 2.757381
Train Epoch: 24 [35840/50000 (72%)]	Loss: 2.493721
Train Epoch: 24 [37120/50000 (74%)]	Loss: 2.650098
Train Epoch: 24 [38400/50000 (77%)]	Loss: 2.713651
Train Epoch: 24 [39680/50000 (79%)]	Loss: 2.452113
Train Epoch: 24 [40960/50000 (82%)]	Loss: 2.661648
Train Epoch: 24 [42240/50000 (84%)]	Loss: 2.384763
Train Epoch: 24 [43520/50000 (87%)]	Loss: 2.668436
Train Epoch: 24 [44800/50000 (90%)]	Loss: 2.539048
Train Epoch: 24 [46080/50000 (92%)]	Loss: 2.733304
Train Epoch: 24 [47360/50000 (95%)]	Loss: 2.732364
Train Epoch: 24 [48640/50000 (97%)]	Loss: 2.809580
Train Epoch: 24 [31200/50000 (100%)]	Loss: 2.666238
================================================================
Test: Average loss: 2.3517, Accuracy: 4754/10000 (48%)
================================================================
Train Epoch: 25 [0/50000 (0%)]	Loss: 2.470774
Train Epoch: 25 [1280/50000 (3%)]	Loss: 2.411695
Train Epoch: 25 [2560/50000 (5%)]	Loss: 2.470388
Train Epoch: 25 [3840/50000 (8%)]	Loss: 2.507260
Train Epoch: 25 [5120/50000 (10%)]	Loss: 2.378111
Train Epoch: 25 [6400/50000 (13%)]	Loss: 2.613479
Train Epoch: 25 [7680/50000 (15%)]	Loss: 2.490314
Train Epoch: 25 [8960/50000 (18%)]	Loss: 2.428549
Train Epoch: 25 [10240/50000 (20%)]	Loss: 2.714148
Train Epoch: 25 [11520/50000 (23%)]	Loss: 2.635091
Train Epoch: 25 [12800/50000 (26%)]	Loss: 2.671218
Train Epoch: 25 [14080/50000 (28%)]	Loss: 2.562057
Train Epoch: 25 [15360/50000 (31%)]	Loss: 2.544548
Train Epoch: 25 [16640/50000 (33%)]	Loss: 2.476975
Train Epoch: 25 [17920/50000 (36%)]	Loss: 2.877803
Train Epoch: 25 [19200/50000 (38%)]	Loss: 2.571296
Train Epoch: 25 [20480/50000 (41%)]	Loss: 2.587858
Train Epoch: 25 [21760/50000 (43%)]	Loss: 2.620348
Train Epoch: 25 [23040/50000 (46%)]	Loss: 2.575408
Train Epoch: 25 [24320/50000 (49%)]	Loss: 2.592554
Train Epoch: 25 [25600/50000 (51%)]	Loss: 2.704543
Train Epoch: 25 [26880/50000 (54%)]	Loss: 2.507260
Train Epoch: 25 [28160/50000 (56%)]	Loss: 2.604491
Train Epoch: 25 [29440/50000 (59%)]	Loss: 2.408774
Train Epoch: 25 [30720/50000 (61%)]	Loss: 2.821241
Train Epoch: 25 [32000/50000 (64%)]	Loss: 2.710709
Train Epoch: 25 [33280/50000 (66%)]	Loss: 2.589920
Train Epoch: 25 [34560/50000 (69%)]	Loss: 2.728190
Train Epoch: 25 [35840/50000 (72%)]	Loss: 2.650878
Train Epoch: 25 [37120/50000 (74%)]	Loss: 2.564770
Train Epoch: 25 [38400/50000 (77%)]	Loss: 2.782741
Train Epoch: 25 [39680/50000 (79%)]	Loss: 2.735605
Train Epoch: 25 [40960/50000 (82%)]	Loss: 2.582068
Train Epoch: 25 [42240/50000 (84%)]	Loss: 2.716839
Train Epoch: 25 [43520/50000 (87%)]	Loss: 2.572511
Train Epoch: 25 [44800/50000 (90%)]	Loss: 2.677765
Train Epoch: 25 [46080/50000 (92%)]	Loss: 2.764581
Train Epoch: 25 [47360/50000 (95%)]	Loss: 2.665307
Train Epoch: 25 [48640/50000 (97%)]	Loss: 2.752383
Train Epoch: 25 [31200/50000 (100%)]	Loss: 2.545967
================================================================
Test: Average loss: 2.3360, Accuracy: 4820/10000 (48%)
================================================================
Train Epoch: 26 [0/50000 (0%)]	Loss: 2.605409
Train Epoch: 26 [1280/50000 (3%)]	Loss: 2.446939
Train Epoch: 26 [2560/50000 (5%)]	Loss: 2.547647
Train Epoch: 26 [3840/50000 (8%)]	Loss: 2.596639
Train Epoch: 26 [5120/50000 (10%)]	Loss: 2.798837
Train Epoch: 26 [6400/50000 (13%)]	Loss: 2.534378
Train Epoch: 26 [7680/50000 (15%)]	Loss: 2.523374
Train Epoch: 26 [8960/50000 (18%)]	Loss: 2.415162
Train Epoch: 26 [10240/50000 (20%)]	Loss: 2.400521
Train Epoch: 26 [11520/50000 (23%)]	Loss: 2.504752
Train Epoch: 26 [12800/50000 (26%)]	Loss: 2.578097
Train Epoch: 26 [14080/50000 (28%)]	Loss: 2.653439
Train Epoch: 26 [15360/50000 (31%)]	Loss: 2.626893
Train Epoch: 26 [16640/50000 (33%)]	Loss: 2.609975
Train Epoch: 26 [17920/50000 (36%)]	Loss: 2.638461
Train Epoch: 26 [19200/50000 (38%)]	Loss: 2.603497
Train Epoch: 26 [20480/50000 (41%)]	Loss: 2.619463
Train Epoch: 26 [21760/50000 (43%)]	Loss: 2.759762
Train Epoch: 26 [23040/50000 (46%)]	Loss: 2.471146
Train Epoch: 26 [24320/50000 (49%)]	Loss: 2.730573
Train Epoch: 26 [25600/50000 (51%)]	Loss: 2.421102
Train Epoch: 26 [26880/50000 (54%)]	Loss: 2.279048
Train Epoch: 26 [28160/50000 (56%)]	Loss: 2.675897
Train Epoch: 26 [29440/50000 (59%)]	Loss: 2.625562
Train Epoch: 26 [30720/50000 (61%)]	Loss: 2.712790
Train Epoch: 26 [32000/50000 (64%)]	Loss: 2.620292
Train Epoch: 26 [33280/50000 (66%)]	Loss: 2.488015
Train Epoch: 26 [34560/50000 (69%)]	Loss: 2.422244
Train Epoch: 26 [35840/50000 (72%)]	Loss: 2.548044
Train Epoch: 26 [37120/50000 (74%)]	Loss: 2.367491
Train Epoch: 26 [38400/50000 (77%)]	Loss: 2.559620
Train Epoch: 26 [39680/50000 (79%)]	Loss: 2.520294
Train Epoch: 26 [40960/50000 (82%)]	Loss: 2.482536
Train Epoch: 26 [42240/50000 (84%)]	Loss: 2.795135
Train Epoch: 26 [43520/50000 (87%)]	Loss: 2.464826
Train Epoch: 26 [44800/50000 (90%)]	Loss: 2.642011
Train Epoch: 26 [46080/50000 (92%)]	Loss: 2.508237
Train Epoch: 26 [47360/50000 (95%)]	Loss: 2.665602
Train Epoch: 26 [48640/50000 (97%)]	Loss: 2.460959
Train Epoch: 26 [31200/50000 (100%)]	Loss: 2.621657
================================================================
Test: Average loss: 2.3305, Accuracy: 4837/10000 (48%)
================================================================
Train Epoch: 27 [0/50000 (0%)]	Loss: 2.571073
Train Epoch: 27 [1280/50000 (3%)]	Loss: 2.735104
Train Epoch: 27 [2560/50000 (5%)]	Loss: 2.476029
Train Epoch: 27 [3840/50000 (8%)]	Loss: 2.528941
Train Epoch: 27 [5120/50000 (10%)]	Loss: 2.578135
Train Epoch: 27 [6400/50000 (13%)]	Loss: 2.574333
Train Epoch: 27 [7680/50000 (15%)]	Loss: 2.657997
Train Epoch: 27 [8960/50000 (18%)]	Loss: 2.452632
Train Epoch: 27 [10240/50000 (20%)]	Loss: 2.500128
Train Epoch: 27 [11520/50000 (23%)]	Loss: 2.467265
Train Epoch: 27 [12800/50000 (26%)]	Loss: 2.441776
Train Epoch: 27 [14080/50000 (28%)]	Loss: 2.632455
Train Epoch: 27 [15360/50000 (31%)]	Loss: 2.430468
Train Epoch: 27 [16640/50000 (33%)]	Loss: 2.522898
Train Epoch: 27 [17920/50000 (36%)]	Loss: 2.445394
Train Epoch: 27 [19200/50000 (38%)]	Loss: 2.496641
Train Epoch: 27 [20480/50000 (41%)]	Loss: 2.611920
Train Epoch: 27 [21760/50000 (43%)]	Loss: 2.532981
Train Epoch: 27 [23040/50000 (46%)]	Loss: 2.664938
Train Epoch: 27 [24320/50000 (49%)]	Loss: 2.423685
Train Epoch: 27 [25600/50000 (51%)]	Loss: 2.477202
Train Epoch: 27 [26880/50000 (54%)]	Loss: 2.745554
Train Epoch: 27 [28160/50000 (56%)]	Loss: 2.611166
Train Epoch: 27 [29440/50000 (59%)]	Loss: 2.661031
Train Epoch: 27 [30720/50000 (61%)]	Loss: 2.508026
Train Epoch: 27 [32000/50000 (64%)]	Loss: 2.665878
Train Epoch: 27 [33280/50000 (66%)]	Loss: 2.588195
Train Epoch: 27 [34560/50000 (69%)]	Loss: 2.579676
Train Epoch: 27 [35840/50000 (72%)]	Loss: 2.554715
Train Epoch: 27 [37120/50000 (74%)]	Loss: 2.480031
Train Epoch: 27 [38400/50000 (77%)]	Loss: 2.630444
Train Epoch: 27 [39680/50000 (79%)]	Loss: 2.648316
Train Epoch: 27 [40960/50000 (82%)]	Loss: 2.608942
Train Epoch: 27 [42240/50000 (84%)]	Loss: 2.541382
Train Epoch: 27 [43520/50000 (87%)]	Loss: 2.621773
Train Epoch: 27 [44800/50000 (90%)]	Loss: 2.517689
Train Epoch: 27 [46080/50000 (92%)]	Loss: 2.548253
Train Epoch: 27 [47360/50000 (95%)]	Loss: 2.554063
Train Epoch: 27 [48640/50000 (97%)]	Loss: 2.601190
Train Epoch: 27 [31200/50000 (100%)]	Loss: 2.430446
================================================================
Test: Average loss: 2.3195, Accuracy: 4827/10000 (48%)
================================================================
Train Epoch: 28 [0/50000 (0%)]	Loss: 2.632092
Train Epoch: 28 [1280/50000 (3%)]	Loss: 2.520282
Train Epoch: 28 [2560/50000 (5%)]	Loss: 2.460255
Train Epoch: 28 [3840/50000 (8%)]	Loss: 2.508305
Train Epoch: 28 [5120/50000 (10%)]	Loss: 2.589267
Train Epoch: 28 [6400/50000 (13%)]	Loss: 2.328142
Train Epoch: 28 [7680/50000 (15%)]	Loss: 2.421669
Train Epoch: 28 [8960/50000 (18%)]	Loss: 2.344901
Train Epoch: 28 [10240/50000 (20%)]	Loss: 2.509493
Train Epoch: 28 [11520/50000 (23%)]	Loss: 2.378732
Train Epoch: 28 [12800/50000 (26%)]	Loss: 2.452001
Train Epoch: 28 [14080/50000 (28%)]	Loss: 2.556552
Train Epoch: 28 [15360/50000 (31%)]	Loss: 2.308101
Train Epoch: 28 [16640/50000 (33%)]	Loss: 2.601437
Train Epoch: 28 [17920/50000 (36%)]	Loss: 2.438634
Train Epoch: 28 [19200/50000 (38%)]	Loss: 2.561084
Train Epoch: 28 [20480/50000 (41%)]	Loss: 2.650301
Train Epoch: 28 [21760/50000 (43%)]	Loss: 2.656009
Train Epoch: 28 [23040/50000 (46%)]	Loss: 2.545510
Train Epoch: 28 [24320/50000 (49%)]	Loss: 2.708397
Train Epoch: 28 [25600/50000 (51%)]	Loss: 2.691952
Train Epoch: 28 [26880/50000 (54%)]	Loss: 2.401601
Train Epoch: 28 [28160/50000 (56%)]	Loss: 2.538178
Train Epoch: 28 [29440/50000 (59%)]	Loss: 2.545736
Train Epoch: 28 [30720/50000 (61%)]	Loss: 2.561357
Train Epoch: 28 [32000/50000 (64%)]	Loss: 2.549533
Train Epoch: 28 [33280/50000 (66%)]	Loss: 2.512411
Train Epoch: 28 [34560/50000 (69%)]	Loss: 2.695523
Train Epoch: 28 [35840/50000 (72%)]	Loss: 2.436546
Train Epoch: 28 [37120/50000 (74%)]	Loss: 2.602825
Train Epoch: 28 [38400/50000 (77%)]	Loss: 2.559077
Train Epoch: 28 [39680/50000 (79%)]	Loss: 2.607673
Train Epoch: 28 [40960/50000 (82%)]	Loss: 2.543388
Train Epoch: 28 [42240/50000 (84%)]	Loss: 2.565993
Train Epoch: 28 [43520/50000 (87%)]	Loss: 2.648221
Train Epoch: 28 [44800/50000 (90%)]	Loss: 2.401872
Train Epoch: 28 [46080/50000 (92%)]	Loss: 2.650725
Train Epoch: 28 [47360/50000 (95%)]	Loss: 2.683785
Train Epoch: 28 [48640/50000 (97%)]	Loss: 2.642839
Train Epoch: 28 [31200/50000 (100%)]	Loss: 2.623951
================================================================
Test: Average loss: 2.2869, Accuracy: 4939/10000 (49%)
================================================================
Train Epoch: 29 [0/50000 (0%)]	Loss: 2.407040
Train Epoch: 29 [1280/50000 (3%)]	Loss: 2.464880
Train Epoch: 29 [2560/50000 (5%)]	Loss: 2.389720
Train Epoch: 29 [3840/50000 (8%)]	Loss: 2.470811
Train Epoch: 29 [5120/50000 (10%)]	Loss: 2.517564
Train Epoch: 29 [6400/50000 (13%)]	Loss: 2.550591
Train Epoch: 29 [7680/50000 (15%)]	Loss: 2.451937
Train Epoch: 29 [8960/50000 (18%)]	Loss: 2.474175
Train Epoch: 29 [10240/50000 (20%)]	Loss: 2.407390
Train Epoch: 29 [11520/50000 (23%)]	Loss: 2.531907
Train Epoch: 29 [12800/50000 (26%)]	Loss: 2.544348
Train Epoch: 29 [14080/50000 (28%)]	Loss: 2.515903
Train Epoch: 29 [15360/50000 (31%)]	Loss: 2.540989
Train Epoch: 29 [16640/50000 (33%)]	Loss: 2.508815
Train Epoch: 29 [17920/50000 (36%)]	Loss: 2.465289
Train Epoch: 29 [19200/50000 (38%)]	Loss: 2.677105
Train Epoch: 29 [20480/50000 (41%)]	Loss: 2.446414
Train Epoch: 29 [21760/50000 (43%)]	Loss: 2.368106
Train Epoch: 29 [23040/50000 (46%)]	Loss: 2.596891
Train Epoch: 29 [24320/50000 (49%)]	Loss: 2.631234
Train Epoch: 29 [25600/50000 (51%)]	Loss: 2.675480
Train Epoch: 29 [26880/50000 (54%)]	Loss: 2.504106
Train Epoch: 29 [28160/50000 (56%)]	Loss: 2.607762
Train Epoch: 29 [29440/50000 (59%)]	Loss: 2.522911
Train Epoch: 29 [30720/50000 (61%)]	Loss: 2.557956
Train Epoch: 29 [32000/50000 (64%)]	Loss: 2.473120
Train Epoch: 29 [33280/50000 (66%)]	Loss: 2.514816
Train Epoch: 29 [34560/50000 (69%)]	Loss: 2.554461
Train Epoch: 29 [35840/50000 (72%)]	Loss: 2.443425
Train Epoch: 29 [37120/50000 (74%)]	Loss: 2.685835
Train Epoch: 29 [38400/50000 (77%)]	Loss: 2.582863
Train Epoch: 29 [39680/50000 (79%)]	Loss: 2.460742
Train Epoch: 29 [40960/50000 (82%)]	Loss: 2.743744
Train Epoch: 29 [42240/50000 (84%)]	Loss: 2.552712
Train Epoch: 29 [43520/50000 (87%)]	Loss: 2.784643
Train Epoch: 29 [44800/50000 (90%)]	Loss: 2.741969
Train Epoch: 29 [46080/50000 (92%)]	Loss: 2.479956
Train Epoch: 29 [47360/50000 (95%)]	Loss: 2.525780
Train Epoch: 29 [48640/50000 (97%)]	Loss: 2.390674
Train Epoch: 29 [31200/50000 (100%)]	Loss: 2.544601
================================================================
Test: Average loss: 2.2910, Accuracy: 4875/10000 (49%)
================================================================
Train Epoch: 30 [0/50000 (0%)]	Loss: 2.408881
Train Epoch: 30 [1280/50000 (3%)]	Loss: 2.550040
Train Epoch: 30 [2560/50000 (5%)]	Loss: 2.709879
Train Epoch: 30 [3840/50000 (8%)]	Loss: 2.430115
Train Epoch: 30 [5120/50000 (10%)]	Loss: 2.305582
Train Epoch: 30 [6400/50000 (13%)]	Loss: 2.651106
Train Epoch: 30 [7680/50000 (15%)]	Loss: 2.403944
Train Epoch: 30 [8960/50000 (18%)]	Loss: 2.577938
Train Epoch: 30 [10240/50000 (20%)]	Loss: 2.462136
Train Epoch: 30 [11520/50000 (23%)]	Loss: 2.461115
Train Epoch: 30 [12800/50000 (26%)]	Loss: 2.454026
Train Epoch: 30 [14080/50000 (28%)]	Loss: 2.519449
Train Epoch: 30 [15360/50000 (31%)]	Loss: 2.510424
Train Epoch: 30 [16640/50000 (33%)]	Loss: 2.574862
Train Epoch: 30 [17920/50000 (36%)]	Loss: 2.462812
Train Epoch: 30 [19200/50000 (38%)]	Loss: 2.422206
Train Epoch: 30 [20480/50000 (41%)]	Loss: 2.682934
Train Epoch: 30 [21760/50000 (43%)]	Loss: 2.533140
Train Epoch: 30 [23040/50000 (46%)]	Loss: 2.486849
Train Epoch: 30 [24320/50000 (49%)]	Loss: 2.390532
Train Epoch: 30 [25600/50000 (51%)]	Loss: 2.505984
Train Epoch: 30 [26880/50000 (54%)]	Loss: 2.320230
Train Epoch: 30 [28160/50000 (56%)]	Loss: 2.514107
Train Epoch: 30 [29440/50000 (59%)]	Loss: 2.445611
Train Epoch: 30 [30720/50000 (61%)]	Loss: 2.397716
Train Epoch: 30 [32000/50000 (64%)]	Loss: 2.408862
Train Epoch: 30 [33280/50000 (66%)]	Loss: 2.608685
Train Epoch: 30 [34560/50000 (69%)]	Loss: 2.640337
Train Epoch: 30 [35840/50000 (72%)]	Loss: 2.337656
Train Epoch: 30 [37120/50000 (74%)]	Loss: 2.701821
Train Epoch: 30 [38400/50000 (77%)]	Loss: 2.436471
Train Epoch: 30 [39680/50000 (79%)]	Loss: 2.750112
Train Epoch: 30 [40960/50000 (82%)]	Loss: 2.531379
Train Epoch: 30 [42240/50000 (84%)]	Loss: 2.516370
Train Epoch: 30 [43520/50000 (87%)]	Loss: 2.542650
Train Epoch: 30 [44800/50000 (90%)]	Loss: 2.492562
Train Epoch: 30 [46080/50000 (92%)]	Loss: 2.590383
Train Epoch: 30 [47360/50000 (95%)]	Loss: 2.637854
Train Epoch: 30 [48640/50000 (97%)]	Loss: 2.514692
Train Epoch: 30 [31200/50000 (100%)]	Loss: 2.772590
================================================================
Test: Average loss: 2.3319, Accuracy: 4742/10000 (47%)
================================================================
Train Epoch: 31 [0/50000 (0%)]	Loss: 2.431899
Train Epoch: 31 [1280/50000 (3%)]	Loss: 2.452324
Train Epoch: 31 [2560/50000 (5%)]	Loss: 2.624939
Train Epoch: 31 [3840/50000 (8%)]	Loss: 2.428142
Train Epoch: 31 [5120/50000 (10%)]	Loss: 2.303543
Train Epoch: 31 [6400/50000 (13%)]	Loss: 2.479426
Train Epoch: 31 [7680/50000 (15%)]	Loss: 2.375896
Train Epoch: 31 [8960/50000 (18%)]	Loss: 2.585456
Train Epoch: 31 [10240/50000 (20%)]	Loss: 2.627699
Train Epoch: 31 [11520/50000 (23%)]	Loss: 2.574991
Train Epoch: 31 [12800/50000 (26%)]	Loss: 2.551264
Train Epoch: 31 [14080/50000 (28%)]	Loss: 2.448213
Train Epoch: 31 [15360/50000 (31%)]	Loss: 2.399688
Train Epoch: 31 [16640/50000 (33%)]	Loss: 2.449184
Train Epoch: 31 [17920/50000 (36%)]	Loss: 2.536812
Train Epoch: 31 [19200/50000 (38%)]	Loss: 2.587892
Train Epoch: 31 [20480/50000 (41%)]	Loss: 2.458511
Train Epoch: 31 [21760/50000 (43%)]	Loss: 2.684966
Train Epoch: 31 [23040/50000 (46%)]	Loss: 2.534456
Train Epoch: 31 [24320/50000 (49%)]	Loss: 2.630824
Train Epoch: 31 [25600/50000 (51%)]	Loss: 2.209695
Train Epoch: 31 [26880/50000 (54%)]	Loss: 2.591047
Train Epoch: 31 [28160/50000 (56%)]	Loss: 2.511328
Train Epoch: 31 [29440/50000 (59%)]	Loss: 2.496198
Train Epoch: 31 [30720/50000 (61%)]	Loss: 2.543403
Train Epoch: 31 [32000/50000 (64%)]	Loss: 2.446096
Train Epoch: 31 [33280/50000 (66%)]	Loss: 2.675361
Train Epoch: 31 [34560/50000 (69%)]	Loss: 2.541516
Train Epoch: 31 [35840/50000 (72%)]	Loss: 2.405370
Train Epoch: 31 [37120/50000 (74%)]	Loss: 2.442745
Train Epoch: 31 [38400/50000 (77%)]	Loss: 2.626365
Train Epoch: 31 [39680/50000 (79%)]	Loss: 2.556798
Train Epoch: 31 [40960/50000 (82%)]	Loss: 2.767508
Train Epoch: 31 [42240/50000 (84%)]	Loss: 2.544844
Train Epoch: 31 [43520/50000 (87%)]	Loss: 2.396772
Train Epoch: 31 [44800/50000 (90%)]	Loss: 2.496103
Train Epoch: 31 [46080/50000 (92%)]	Loss: 2.585898
Train Epoch: 31 [47360/50000 (95%)]	Loss: 2.430040
Train Epoch: 31 [48640/50000 (97%)]	Loss: 2.419388
Train Epoch: 31 [31200/50000 (100%)]	Loss: 2.556314
================================================================
Test: Average loss: 2.3157, Accuracy: 4765/10000 (48%)
================================================================
Train Epoch: 32 [0/50000 (0%)]	Loss: 2.527491
Train Epoch: 32 [1280/50000 (3%)]	Loss: 2.439130
Train Epoch: 32 [2560/50000 (5%)]	Loss: 2.490904
Train Epoch: 32 [3840/50000 (8%)]	Loss: 2.415008
Train Epoch: 32 [5120/50000 (10%)]	Loss: 2.559527
Train Epoch: 32 [6400/50000 (13%)]	Loss: 2.422814
Train Epoch: 32 [7680/50000 (15%)]	Loss: 2.238023
Train Epoch: 32 [8960/50000 (18%)]	Loss: 2.267453
Train Epoch: 32 [10240/50000 (20%)]	Loss: 2.542689
Train Epoch: 32 [11520/50000 (23%)]	Loss: 2.460370
Train Epoch: 32 [12800/50000 (26%)]	Loss: 2.486526
Train Epoch: 32 [14080/50000 (28%)]	Loss: 2.458555
Train Epoch: 32 [15360/50000 (31%)]	Loss: 2.566450
Train Epoch: 32 [16640/50000 (33%)]	Loss: 2.535506
Train Epoch: 32 [17920/50000 (36%)]	Loss: 2.550062
Train Epoch: 32 [19200/50000 (38%)]	Loss: 2.523732
Train Epoch: 32 [20480/50000 (41%)]	Loss: 2.507702
Train Epoch: 32 [21760/50000 (43%)]	Loss: 2.582521
Train Epoch: 32 [23040/50000 (46%)]	Loss: 2.547444
Train Epoch: 32 [24320/50000 (49%)]	Loss: 2.551588
Train Epoch: 32 [25600/50000 (51%)]	Loss: 2.356407
Train Epoch: 32 [26880/50000 (54%)]	Loss: 2.458378
Train Epoch: 32 [28160/50000 (56%)]	Loss: 2.484665
Train Epoch: 32 [29440/50000 (59%)]	Loss: 2.496462
Train Epoch: 32 [30720/50000 (61%)]	Loss: 2.677609
Train Epoch: 32 [32000/50000 (64%)]	Loss: 2.571472
Train Epoch: 32 [33280/50000 (66%)]	Loss: 2.541650
Train Epoch: 32 [34560/50000 (69%)]	Loss: 2.330979
Train Epoch: 32 [35840/50000 (72%)]	Loss: 2.562313
Train Epoch: 32 [37120/50000 (74%)]	Loss: 2.476557
Train Epoch: 32 [38400/50000 (77%)]	Loss: 2.601258
Train Epoch: 32 [39680/50000 (79%)]	Loss: 2.751337
Train Epoch: 32 [40960/50000 (82%)]	Loss: 2.567438
Train Epoch: 32 [42240/50000 (84%)]	Loss: 2.534243
Train Epoch: 32 [43520/50000 (87%)]	Loss: 2.636241
Train Epoch: 32 [44800/50000 (90%)]	Loss: 2.527522
Train Epoch: 32 [46080/50000 (92%)]	Loss: 2.677066
Train Epoch: 32 [47360/50000 (95%)]	Loss: 2.590395
Train Epoch: 32 [48640/50000 (97%)]	Loss: 2.535807
Train Epoch: 32 [31200/50000 (100%)]	Loss: 2.713636
================================================================
Test: Average loss: 2.2621, Accuracy: 4946/10000 (49%)
================================================================
Train Epoch: 33 [0/50000 (0%)]	Loss: 2.469555
Train Epoch: 33 [1280/50000 (3%)]	Loss: 2.400612
Train Epoch: 33 [2560/50000 (5%)]	Loss: 2.470690
Train Epoch: 33 [3840/50000 (8%)]	Loss: 2.325947
Train Epoch: 33 [5120/50000 (10%)]	Loss: 2.403655
Train Epoch: 33 [6400/50000 (13%)]	Loss: 2.564746
Train Epoch: 33 [7680/50000 (15%)]	Loss: 2.499029
Train Epoch: 33 [8960/50000 (18%)]	Loss: 2.461679
Train Epoch: 33 [10240/50000 (20%)]	Loss: 2.493876
Train Epoch: 33 [11520/50000 (23%)]	Loss: 2.465053
Train Epoch: 33 [12800/50000 (26%)]	Loss: 2.425834
Train Epoch: 33 [14080/50000 (28%)]	Loss: 2.583949
Train Epoch: 33 [15360/50000 (31%)]	Loss: 2.486149
Train Epoch: 33 [16640/50000 (33%)]	Loss: 2.352942
Train Epoch: 33 [17920/50000 (36%)]	Loss: 2.456161
Train Epoch: 33 [19200/50000 (38%)]	Loss: 2.377051
Train Epoch: 33 [20480/50000 (41%)]	Loss: 2.605237
Train Epoch: 33 [21760/50000 (43%)]	Loss: 2.487579
Train Epoch: 33 [23040/50000 (46%)]	Loss: 2.578259
Train Epoch: 33 [24320/50000 (49%)]	Loss: 2.452994
Train Epoch: 33 [25600/50000 (51%)]	Loss: 2.389320
Train Epoch: 33 [26880/50000 (54%)]	Loss: 2.491527
Train Epoch: 33 [28160/50000 (56%)]	Loss: 2.422863
Train Epoch: 33 [29440/50000 (59%)]	Loss: 2.504831
Train Epoch: 33 [30720/50000 (61%)]	Loss: 2.400712
Train Epoch: 33 [32000/50000 (64%)]	Loss: 2.442863
Train Epoch: 33 [33280/50000 (66%)]	Loss: 2.541274
Train Epoch: 33 [34560/50000 (69%)]	Loss: 2.566179
Train Epoch: 33 [35840/50000 (72%)]	Loss: 2.490185
Train Epoch: 33 [37120/50000 (74%)]	Loss: 2.539170
Train Epoch: 33 [38400/50000 (77%)]	Loss: 2.489289
Train Epoch: 33 [39680/50000 (79%)]	Loss: 2.626544
Train Epoch: 33 [40960/50000 (82%)]	Loss: 2.596473
Train Epoch: 33 [42240/50000 (84%)]	Loss: 2.640726
Train Epoch: 33 [43520/50000 (87%)]	Loss: 2.615802
Train Epoch: 33 [44800/50000 (90%)]	Loss: 2.480340
Train Epoch: 33 [46080/50000 (92%)]	Loss: 2.416366
Train Epoch: 33 [47360/50000 (95%)]	Loss: 2.637430
Train Epoch: 33 [48640/50000 (97%)]	Loss: 2.483121
Train Epoch: 33 [31200/50000 (100%)]	Loss: 2.519424
================================================================
Test: Average loss: 2.3312, Accuracy: 4797/10000 (48%)
================================================================
Train Epoch: 34 [0/50000 (0%)]	Loss: 2.435417
Train Epoch: 34 [1280/50000 (3%)]	Loss: 2.427054
Train Epoch: 34 [2560/50000 (5%)]	Loss: 2.346032
Train Epoch: 34 [3840/50000 (8%)]	Loss: 2.379691
Train Epoch: 34 [5120/50000 (10%)]	Loss: 2.399151
Train Epoch: 34 [6400/50000 (13%)]	Loss: 2.436776
Train Epoch: 34 [7680/50000 (15%)]	Loss: 2.563561
Train Epoch: 34 [8960/50000 (18%)]	Loss: 2.527286
Train Epoch: 34 [10240/50000 (20%)]	Loss: 2.446851
Train Epoch: 34 [11520/50000 (23%)]	Loss: 2.314259
Train Epoch: 34 [12800/50000 (26%)]	Loss: 2.474149
Train Epoch: 34 [14080/50000 (28%)]	Loss: 2.511733
Train Epoch: 34 [15360/50000 (31%)]	Loss: 2.504779
Train Epoch: 34 [16640/50000 (33%)]	Loss: 2.484416
Train Epoch: 34 [17920/50000 (36%)]	Loss: 2.477767
Train Epoch: 34 [19200/50000 (38%)]	Loss: 2.267956
Train Epoch: 34 [20480/50000 (41%)]	Loss: 2.467599
Train Epoch: 34 [21760/50000 (43%)]	Loss: 2.727115
Train Epoch: 34 [23040/50000 (46%)]	Loss: 2.502747
Train Epoch: 34 [24320/50000 (49%)]	Loss: 2.513790
Train Epoch: 34 [25600/50000 (51%)]	Loss: 2.570022
Train Epoch: 34 [26880/50000 (54%)]	Loss: 2.417824
Train Epoch: 34 [28160/50000 (56%)]	Loss: 2.346055
Train Epoch: 34 [29440/50000 (59%)]	Loss: 2.583197
Train Epoch: 34 [30720/50000 (61%)]	Loss: 2.410547
Train Epoch: 34 [32000/50000 (64%)]	Loss: 2.573813
Train Epoch: 34 [33280/50000 (66%)]	Loss: 2.545918
Train Epoch: 34 [34560/50000 (69%)]	Loss: 2.458366
Train Epoch: 34 [35840/50000 (72%)]	Loss: 2.390882
Train Epoch: 34 [37120/50000 (74%)]	Loss: 2.625788
Train Epoch: 34 [38400/50000 (77%)]	Loss: 2.459665
Train Epoch: 34 [39680/50000 (79%)]	Loss: 2.580857
Train Epoch: 34 [40960/50000 (82%)]	Loss: 2.371083
Train Epoch: 34 [42240/50000 (84%)]	Loss: 2.616400
Train Epoch: 34 [43520/50000 (87%)]	Loss: 2.584012
Train Epoch: 34 [44800/50000 (90%)]	Loss: 2.590153
Train Epoch: 34 [46080/50000 (92%)]	Loss: 2.187092
Train Epoch: 34 [47360/50000 (95%)]	Loss: 2.430910
Train Epoch: 34 [48640/50000 (97%)]	Loss: 2.441548
Train Epoch: 34 [31200/50000 (100%)]	Loss: 2.722057
================================================================
Test: Average loss: 2.3031, Accuracy: 4776/10000 (48%)
================================================================
Train Epoch: 35 [0/50000 (0%)]	Loss: 2.405814
Train Epoch: 35 [1280/50000 (3%)]	Loss: 2.518864
Train Epoch: 35 [2560/50000 (5%)]	Loss: 2.505400
Train Epoch: 35 [3840/50000 (8%)]	Loss: 2.391295
Train Epoch: 35 [5120/50000 (10%)]	Loss: 2.275310
Train Epoch: 35 [6400/50000 (13%)]	Loss: 2.500566
Train Epoch: 35 [7680/50000 (15%)]	Loss: 2.322291
Train Epoch: 35 [8960/50000 (18%)]	Loss: 2.552372
Train Epoch: 35 [10240/50000 (20%)]	Loss: 2.432820
Train Epoch: 35 [11520/50000 (23%)]	Loss: 2.439146
Train Epoch: 35 [12800/50000 (26%)]	Loss: 2.534723
Train Epoch: 35 [14080/50000 (28%)]	Loss: 2.400845
Train Epoch: 35 [15360/50000 (31%)]	Loss: 2.468053
Train Epoch: 35 [16640/50000 (33%)]	Loss: 2.318742
Train Epoch: 35 [17920/50000 (36%)]	Loss: 2.490419
Train Epoch: 35 [19200/50000 (38%)]	Loss: 2.600039
Train Epoch: 35 [20480/50000 (41%)]	Loss: 2.536510
Train Epoch: 35 [21760/50000 (43%)]	Loss: 2.439397
Train Epoch: 35 [23040/50000 (46%)]	Loss: 2.464322
Train Epoch: 35 [24320/50000 (49%)]	Loss: 2.610036
Train Epoch: 35 [25600/50000 (51%)]	Loss: 2.547926
Train Epoch: 35 [26880/50000 (54%)]	Loss: 2.489498
Train Epoch: 35 [28160/50000 (56%)]	Loss: 2.448677
Train Epoch: 35 [29440/50000 (59%)]	Loss: 2.347050
Train Epoch: 35 [30720/50000 (61%)]	Loss: 2.517526
Train Epoch: 35 [32000/50000 (64%)]	Loss: 2.650953
Train Epoch: 35 [33280/50000 (66%)]	Loss: 2.560423
Train Epoch: 35 [34560/50000 (69%)]	Loss: 2.535323
Train Epoch: 35 [35840/50000 (72%)]	Loss: 2.661351
Train Epoch: 35 [37120/50000 (74%)]	Loss: 2.401032
Train Epoch: 35 [38400/50000 (77%)]	Loss: 2.573290
Train Epoch: 35 [39680/50000 (79%)]	Loss: 2.474046
Train Epoch: 35 [40960/50000 (82%)]	Loss: 2.449224
Train Epoch: 35 [42240/50000 (84%)]	Loss: 2.532997
Train Epoch: 35 [43520/50000 (87%)]	Loss: 2.659143
Train Epoch: 35 [44800/50000 (90%)]	Loss: 2.467972
Train Epoch: 35 [46080/50000 (92%)]	Loss: 2.461238
Train Epoch: 35 [47360/50000 (95%)]	Loss: 2.467065
Train Epoch: 35 [48640/50000 (97%)]	Loss: 2.474478
Train Epoch: 35 [31200/50000 (100%)]	Loss: 2.588975
================================================================
Test: Average loss: 2.2594, Accuracy: 5002/10000 (50%)
================================================================
Train Epoch: 36 [0/50000 (0%)]	Loss: 2.404587
Train Epoch: 36 [1280/50000 (3%)]	Loss: 2.329931
Train Epoch: 36 [2560/50000 (5%)]	Loss: 2.395961
Train Epoch: 36 [3840/50000 (8%)]	Loss: 2.389567
Train Epoch: 36 [5120/50000 (10%)]	Loss: 2.471162
Train Epoch: 36 [6400/50000 (13%)]	Loss: 2.416868
Train Epoch: 36 [7680/50000 (15%)]	Loss: 2.718657
Train Epoch: 36 [8960/50000 (18%)]	Loss: 2.512226
Train Epoch: 36 [10240/50000 (20%)]	Loss: 2.594168
Train Epoch: 36 [11520/50000 (23%)]	Loss: 2.350610
Train Epoch: 36 [12800/50000 (26%)]	Loss: 2.510405
Train Epoch: 36 [14080/50000 (28%)]	Loss: 2.414116
Train Epoch: 36 [15360/50000 (31%)]	Loss: 2.517763
Train Epoch: 36 [16640/50000 (33%)]	Loss: 2.455217
Train Epoch: 36 [17920/50000 (36%)]	Loss: 2.541663
Train Epoch: 36 [19200/50000 (38%)]	Loss: 2.529345
Train Epoch: 36 [20480/50000 (41%)]	Loss: 2.501854
Train Epoch: 36 [21760/50000 (43%)]	Loss: 2.572262
Train Epoch: 36 [23040/50000 (46%)]	Loss: 2.475140
Train Epoch: 36 [24320/50000 (49%)]	Loss: 2.677847
Train Epoch: 36 [25600/50000 (51%)]	Loss: 2.372773
Train Epoch: 36 [26880/50000 (54%)]	Loss: 2.575371
Train Epoch: 36 [28160/50000 (56%)]	Loss: 2.774589
Train Epoch: 36 [29440/50000 (59%)]	Loss: 2.421213
Train Epoch: 36 [30720/50000 (61%)]	Loss: 2.301547
Train Epoch: 36 [32000/50000 (64%)]	Loss: 2.582174
Train Epoch: 36 [33280/50000 (66%)]	Loss: 2.425159
Train Epoch: 36 [34560/50000 (69%)]	Loss: 2.493658
Train Epoch: 36 [35840/50000 (72%)]	Loss: 2.431230
Train Epoch: 36 [37120/50000 (74%)]	Loss: 2.558550
Train Epoch: 36 [38400/50000 (77%)]	Loss: 2.520776
Train Epoch: 36 [39680/50000 (79%)]	Loss: 2.686784
Train Epoch: 36 [40960/50000 (82%)]	Loss: 2.642400
Train Epoch: 36 [42240/50000 (84%)]	Loss: 2.387821
Train Epoch: 36 [43520/50000 (87%)]	Loss: 2.486569
Train Epoch: 36 [44800/50000 (90%)]	Loss: 2.626012
Train Epoch: 36 [46080/50000 (92%)]	Loss: 2.587771
Train Epoch: 36 [47360/50000 (95%)]	Loss: 2.582822
Train Epoch: 36 [48640/50000 (97%)]	Loss: 2.449148
Train Epoch: 36 [31200/50000 (100%)]	Loss: 2.680808
================================================================
Test: Average loss: 2.2767, Accuracy: 4820/10000 (48%)
================================================================
Train Epoch: 37 [0/50000 (0%)]	Loss: 2.335703
Train Epoch: 37 [1280/50000 (3%)]	Loss: 2.323245
Train Epoch: 37 [2560/50000 (5%)]	Loss: 2.416691
Train Epoch: 37 [3840/50000 (8%)]	Loss: 2.515899
Train Epoch: 37 [5120/50000 (10%)]	Loss: 2.443381
Train Epoch: 37 [6400/50000 (13%)]	Loss: 2.415788
Train Epoch: 37 [7680/50000 (15%)]	Loss: 2.417532
Train Epoch: 37 [8960/50000 (18%)]	Loss: 2.435946
Train Epoch: 37 [10240/50000 (20%)]	Loss: 2.376687
Train Epoch: 37 [11520/50000 (23%)]	Loss: 2.399998
Train Epoch: 37 [12800/50000 (26%)]	Loss: 2.268087
Train Epoch: 37 [14080/50000 (28%)]	Loss: 2.385895
Train Epoch: 37 [15360/50000 (31%)]	Loss: 2.479589
Train Epoch: 37 [16640/50000 (33%)]	Loss: 2.495679
Train Epoch: 37 [17920/50000 (36%)]	Loss: 2.387100
Train Epoch: 37 [19200/50000 (38%)]	Loss: 2.438152
Train Epoch: 37 [20480/50000 (41%)]	Loss: 2.460677
Train Epoch: 37 [21760/50000 (43%)]	Loss: 2.530324
Train Epoch: 37 [23040/50000 (46%)]	Loss: 2.448306
Train Epoch: 37 [24320/50000 (49%)]	Loss: 2.506453
Train Epoch: 37 [25600/50000 (51%)]	Loss: 2.572524
Train Epoch: 37 [26880/50000 (54%)]	Loss: 2.440335
Train Epoch: 37 [28160/50000 (56%)]	Loss: 2.640205
Train Epoch: 37 [29440/50000 (59%)]	Loss: 2.442613
Train Epoch: 37 [30720/50000 (61%)]	Loss: 2.411165
Train Epoch: 37 [32000/50000 (64%)]	Loss: 2.537760
Train Epoch: 37 [33280/50000 (66%)]	Loss: 2.555656
Train Epoch: 37 [34560/50000 (69%)]	Loss: 2.433260
Train Epoch: 37 [35840/50000 (72%)]	Loss: 2.684342
Train Epoch: 37 [37120/50000 (74%)]	Loss: 2.384888
Train Epoch: 37 [38400/50000 (77%)]	Loss: 2.427644
Train Epoch: 37 [39680/50000 (79%)]	Loss: 2.468982
Train Epoch: 37 [40960/50000 (82%)]	Loss: 2.564120
Train Epoch: 37 [42240/50000 (84%)]	Loss: 2.336758
Train Epoch: 37 [43520/50000 (87%)]	Loss: 2.535391
Train Epoch: 37 [44800/50000 (90%)]	Loss: 2.594923
Train Epoch: 37 [46080/50000 (92%)]	Loss: 2.383940
Train Epoch: 37 [47360/50000 (95%)]	Loss: 2.463645
Train Epoch: 37 [48640/50000 (97%)]	Loss: 2.461747
Train Epoch: 37 [31200/50000 (100%)]	Loss: 2.649826
================================================================
Test: Average loss: 2.2424, Accuracy: 4936/10000 (49%)
================================================================
Train Epoch: 38 [0/50000 (0%)]	Loss: 2.376130
Train Epoch: 38 [1280/50000 (3%)]	Loss: 2.425020
Train Epoch: 38 [2560/50000 (5%)]	Loss: 2.482095
Train Epoch: 38 [3840/50000 (8%)]	Loss: 2.282134
Train Epoch: 38 [5120/50000 (10%)]	Loss: 2.345770
Train Epoch: 38 [6400/50000 (13%)]	Loss: 2.156355
Train Epoch: 38 [7680/50000 (15%)]	Loss: 2.306216
Train Epoch: 38 [8960/50000 (18%)]	Loss: 2.432017
Train Epoch: 38 [10240/50000 (20%)]	Loss: 2.538140
Train Epoch: 38 [11520/50000 (23%)]	Loss: 2.258760
Train Epoch: 38 [12800/50000 (26%)]	Loss: 2.351939
Train Epoch: 38 [14080/50000 (28%)]	Loss: 2.360772
Train Epoch: 38 [15360/50000 (31%)]	Loss: 2.467451
Train Epoch: 38 [16640/50000 (33%)]	Loss: 2.508002
Train Epoch: 38 [17920/50000 (36%)]	Loss: 2.299605
Train Epoch: 38 [19200/50000 (38%)]	Loss: 2.396963
Train Epoch: 38 [20480/50000 (41%)]	Loss: 2.313074
Train Epoch: 38 [21760/50000 (43%)]	Loss: 2.329139
Train Epoch: 38 [23040/50000 (46%)]	Loss: 2.545384
Train Epoch: 38 [24320/50000 (49%)]	Loss: 2.344673
Train Epoch: 38 [25600/50000 (51%)]	Loss: 2.500300
Train Epoch: 38 [26880/50000 (54%)]	Loss: 2.331040
Train Epoch: 38 [28160/50000 (56%)]	Loss: 2.479368
Train Epoch: 38 [29440/50000 (59%)]	Loss: 2.466114
Train Epoch: 38 [30720/50000 (61%)]	Loss: 2.420269
Train Epoch: 38 [32000/50000 (64%)]	Loss: 2.357028
Train Epoch: 38 [33280/50000 (66%)]	Loss: 2.342857
Train Epoch: 38 [34560/50000 (69%)]	Loss: 2.427322
Train Epoch: 38 [35840/50000 (72%)]	Loss: 2.301234
Train Epoch: 38 [37120/50000 (74%)]	Loss: 2.488679
Train Epoch: 38 [38400/50000 (77%)]	Loss: 2.517389
Train Epoch: 38 [39680/50000 (79%)]	Loss: 2.555555
Train Epoch: 38 [40960/50000 (82%)]	Loss: 2.486123
Train Epoch: 38 [42240/50000 (84%)]	Loss: 2.414958
Train Epoch: 38 [43520/50000 (87%)]	Loss: 2.561834
Train Epoch: 38 [44800/50000 (90%)]	Loss: 2.447913
Train Epoch: 38 [46080/50000 (92%)]	Loss: 2.484916
Train Epoch: 38 [47360/50000 (95%)]	Loss: 2.428348
Train Epoch: 38 [48640/50000 (97%)]	Loss: 2.570978
Train Epoch: 38 [31200/50000 (100%)]	Loss: 2.514172
================================================================
Test: Average loss: 2.2484, Accuracy: 4919/10000 (49%)
================================================================
Train Epoch: 39 [0/50000 (0%)]	Loss: 2.464072
Train Epoch: 39 [1280/50000 (3%)]	Loss: 2.454871
Train Epoch: 39 [2560/50000 (5%)]	Loss: 2.306956
Train Epoch: 39 [3840/50000 (8%)]	Loss: 2.514559
Train Epoch: 39 [5120/50000 (10%)]	Loss: 2.275740
Train Epoch: 39 [6400/50000 (13%)]	Loss: 2.285283
Train Epoch: 39 [7680/50000 (15%)]	Loss: 2.335296
Train Epoch: 39 [8960/50000 (18%)]	Loss: 2.349524
Train Epoch: 39 [10240/50000 (20%)]	Loss: 2.298320
Train Epoch: 39 [11520/50000 (23%)]	Loss: 2.471540
Train Epoch: 39 [12800/50000 (26%)]	Loss: 2.308573
Train Epoch: 39 [14080/50000 (28%)]	Loss: 2.368475
Train Epoch: 39 [15360/50000 (31%)]	Loss: 2.719762
Train Epoch: 39 [16640/50000 (33%)]	Loss: 2.402779
Train Epoch: 39 [17920/50000 (36%)]	Loss: 2.535019
Train Epoch: 39 [19200/50000 (38%)]	Loss: 2.641829
Train Epoch: 39 [20480/50000 (41%)]	Loss: 2.577957
Train Epoch: 39 [21760/50000 (43%)]	Loss: 2.250615
Train Epoch: 39 [23040/50000 (46%)]	Loss: 2.465755
Train Epoch: 39 [24320/50000 (49%)]	Loss: 2.439304
Train Epoch: 39 [25600/50000 (51%)]	Loss: 2.439879
Train Epoch: 39 [26880/50000 (54%)]	Loss: 2.601627
Train Epoch: 39 [28160/50000 (56%)]	Loss: 2.572752
Train Epoch: 39 [29440/50000 (59%)]	Loss: 2.665459
Train Epoch: 39 [30720/50000 (61%)]	Loss: 2.575717
Train Epoch: 39 [32000/50000 (64%)]	Loss: 2.549216
Train Epoch: 39 [33280/50000 (66%)]	Loss: 2.521789
Train Epoch: 39 [34560/50000 (69%)]	Loss: 2.444105
Train Epoch: 39 [35840/50000 (72%)]	Loss: 2.543213
Train Epoch: 39 [37120/50000 (74%)]	Loss: 2.422007
Train Epoch: 39 [38400/50000 (77%)]	Loss: 2.475930
Train Epoch: 39 [39680/50000 (79%)]	Loss: 2.521460
Train Epoch: 39 [40960/50000 (82%)]	Loss: 2.216183
Train Epoch: 39 [42240/50000 (84%)]	Loss: 2.518214
Train Epoch: 39 [43520/50000 (87%)]	Loss: 2.519895
Train Epoch: 39 [44800/50000 (90%)]	Loss: 2.614619
Train Epoch: 39 [46080/50000 (92%)]	Loss: 2.362534
Train Epoch: 39 [47360/50000 (95%)]	Loss: 2.297023
Train Epoch: 39 [48640/50000 (97%)]	Loss: 2.519128
Train Epoch: 39 [31200/50000 (100%)]	Loss: 2.464756
================================================================
Test: Average loss: 2.2463, Accuracy: 4850/10000 (48%)
================================================================
Train Epoch: 40 [0/50000 (0%)]	Loss: 2.277040
Train Epoch: 40 [1280/50000 (3%)]	Loss: 2.269920
Train Epoch: 40 [2560/50000 (5%)]	Loss: 2.458332
Train Epoch: 40 [3840/50000 (8%)]	Loss: 2.350929
Train Epoch: 40 [5120/50000 (10%)]	Loss: 2.296037
Train Epoch: 40 [6400/50000 (13%)]	Loss: 2.427768
Train Epoch: 40 [7680/50000 (15%)]	Loss: 2.387158
Train Epoch: 40 [8960/50000 (18%)]	Loss: 2.324823
Train Epoch: 40 [10240/50000 (20%)]	Loss: 2.386828
Train Epoch: 40 [11520/50000 (23%)]	Loss: 2.124293
Train Epoch: 40 [12800/50000 (26%)]	Loss: 2.393924
Train Epoch: 40 [14080/50000 (28%)]	Loss: 2.311691
Train Epoch: 40 [15360/50000 (31%)]	Loss: 2.210863
Train Epoch: 40 [16640/50000 (33%)]	Loss: 2.432242
Train Epoch: 40 [17920/50000 (36%)]	Loss: 2.443750
Train Epoch: 40 [19200/50000 (38%)]	Loss: 2.210633
Train Epoch: 40 [20480/50000 (41%)]	Loss: 2.488227
Train Epoch: 40 [21760/50000 (43%)]	Loss: 2.455065
Train Epoch: 40 [23040/50000 (46%)]	Loss: 2.524123
Train Epoch: 40 [24320/50000 (49%)]	Loss: 2.364501
Train Epoch: 40 [25600/50000 (51%)]	Loss: 2.504614
Train Epoch: 40 [26880/50000 (54%)]	Loss: 2.559962
Train Epoch: 40 [28160/50000 (56%)]	Loss: 2.380792
Train Epoch: 40 [29440/50000 (59%)]	Loss: 2.423447
Train Epoch: 40 [30720/50000 (61%)]	Loss: 2.324953
Train Epoch: 40 [32000/50000 (64%)]	Loss: 2.366590
Train Epoch: 40 [33280/50000 (66%)]	Loss: 2.357571
Train Epoch: 40 [34560/50000 (69%)]	Loss: 2.543131
Train Epoch: 40 [35840/50000 (72%)]	Loss: 2.507208
Train Epoch: 40 [37120/50000 (74%)]	Loss: 2.434082
Train Epoch: 40 [38400/50000 (77%)]	Loss: 2.414243
Train Epoch: 40 [39680/50000 (79%)]	Loss: 2.307373
Train Epoch: 40 [40960/50000 (82%)]	Loss: 2.426968
Train Epoch: 40 [42240/50000 (84%)]	Loss: 2.347997
Train Epoch: 40 [43520/50000 (87%)]	Loss: 2.520839
Train Epoch: 40 [44800/50000 (90%)]	Loss: 2.544205
Train Epoch: 40 [46080/50000 (92%)]	Loss: 2.585087
Train Epoch: 40 [47360/50000 (95%)]	Loss: 2.387930
Train Epoch: 40 [48640/50000 (97%)]	Loss: 2.491040
Train Epoch: 40 [31200/50000 (100%)]	Loss: 2.466146
================================================================
Test: Average loss: 2.2831, Accuracy: 4876/10000 (49%)
================================================================
Train Epoch: 41 [0/50000 (0%)]	Loss: 2.370846
Train Epoch: 41 [1280/50000 (3%)]	Loss: 2.365513
Train Epoch: 41 [2560/50000 (5%)]	Loss: 2.391141
Train Epoch: 41 [3840/50000 (8%)]	Loss: 2.165325
Train Epoch: 41 [5120/50000 (10%)]	Loss: 2.207777
Train Epoch: 41 [6400/50000 (13%)]	Loss: 2.467651
Train Epoch: 41 [7680/50000 (15%)]	Loss: 2.192658
Train Epoch: 41 [8960/50000 (18%)]	Loss: 2.454114
Train Epoch: 41 [10240/50000 (20%)]	Loss: 2.546551
Train Epoch: 41 [11520/50000 (23%)]	Loss: 2.468608
Train Epoch: 41 [12800/50000 (26%)]	Loss: 2.412318
Train Epoch: 41 [14080/50000 (28%)]	Loss: 2.482071
Train Epoch: 41 [15360/50000 (31%)]	Loss: 2.473436
Train Epoch: 41 [16640/50000 (33%)]	Loss: 2.234638
Train Epoch: 41 [17920/50000 (36%)]	Loss: 2.443349
Train Epoch: 41 [19200/50000 (38%)]	Loss: 2.310964
Train Epoch: 41 [20480/50000 (41%)]	Loss: 2.482367
Train Epoch: 41 [21760/50000 (43%)]	Loss: 2.270699
Train Epoch: 41 [23040/50000 (46%)]	Loss: 2.351061
Train Epoch: 41 [24320/50000 (49%)]	Loss: 2.428952
Train Epoch: 41 [25600/50000 (51%)]	Loss: 2.347719
Train Epoch: 41 [26880/50000 (54%)]	Loss: 2.369259
Train Epoch: 41 [28160/50000 (56%)]	Loss: 2.352828
Train Epoch: 41 [29440/50000 (59%)]	Loss: 2.413076
Train Epoch: 41 [30720/50000 (61%)]	Loss: 2.516448
Train Epoch: 41 [32000/50000 (64%)]	Loss: 2.527375
Train Epoch: 41 [33280/50000 (66%)]	Loss: 2.357134
Train Epoch: 41 [34560/50000 (69%)]	Loss: 2.401855
Train Epoch: 41 [35840/50000 (72%)]	Loss: 2.374139
Train Epoch: 41 [37120/50000 (74%)]	Loss: 2.515491
Train Epoch: 41 [38400/50000 (77%)]	Loss: 2.588803
Train Epoch: 41 [39680/50000 (79%)]	Loss: 2.740032
Train Epoch: 41 [40960/50000 (82%)]	Loss: 2.297430
Train Epoch: 41 [42240/50000 (84%)]	Loss: 2.521901
Train Epoch: 41 [43520/50000 (87%)]	Loss: 2.555591
Train Epoch: 41 [44800/50000 (90%)]	Loss: 2.518248
Train Epoch: 41 [46080/50000 (92%)]	Loss: 2.443386
Train Epoch: 41 [47360/50000 (95%)]	Loss: 2.376544
Train Epoch: 41 [48640/50000 (97%)]	Loss: 2.569334
Train Epoch: 41 [31200/50000 (100%)]	Loss: 2.452018
================================================================
Test: Average loss: 2.2501, Accuracy: 5039/10000 (50%)
================================================================
Train Epoch: 42 [0/50000 (0%)]	Loss: 2.386686
Train Epoch: 42 [1280/50000 (3%)]	Loss: 2.379886
Train Epoch: 42 [2560/50000 (5%)]	Loss: 2.207330
Train Epoch: 42 [3840/50000 (8%)]	Loss: 2.242495
Train Epoch: 42 [5120/50000 (10%)]	Loss: 2.309982
Train Epoch: 42 [6400/50000 (13%)]	Loss: 2.202729
Train Epoch: 42 [7680/50000 (15%)]	Loss: 2.321124
Train Epoch: 42 [8960/50000 (18%)]	Loss: 2.427824
Train Epoch: 42 [10240/50000 (20%)]	Loss: 2.401097
Train Epoch: 42 [11520/50000 (23%)]	Loss: 2.267678
Train Epoch: 42 [12800/50000 (26%)]	Loss: 2.583154
Train Epoch: 42 [14080/50000 (28%)]	Loss: 2.455756
Train Epoch: 42 [15360/50000 (31%)]	Loss: 2.466501
Train Epoch: 42 [16640/50000 (33%)]	Loss: 2.301442
Train Epoch: 42 [17920/50000 (36%)]	Loss: 2.335441
Train Epoch: 42 [19200/50000 (38%)]	Loss: 2.585968
Train Epoch: 42 [20480/50000 (41%)]	Loss: 2.532533
Train Epoch: 42 [21760/50000 (43%)]	Loss: 2.410800
Train Epoch: 42 [23040/50000 (46%)]	Loss: 2.330895
Train Epoch: 42 [24320/50000 (49%)]	Loss: 2.720627
Train Epoch: 42 [25600/50000 (51%)]	Loss: 2.245001
Train Epoch: 42 [26880/50000 (54%)]	Loss: 2.417480
Train Epoch: 42 [28160/50000 (56%)]	Loss: 2.455114
Train Epoch: 42 [29440/50000 (59%)]	Loss: 2.326725
Train Epoch: 42 [30720/50000 (61%)]	Loss: 2.568563
Train Epoch: 42 [32000/50000 (64%)]	Loss: 2.462801
Train Epoch: 42 [33280/50000 (66%)]	Loss: 2.413038
Train Epoch: 42 [34560/50000 (69%)]	Loss: 2.361475
Train Epoch: 42 [35840/50000 (72%)]	Loss: 2.399968
Train Epoch: 42 [37120/50000 (74%)]	Loss: 2.384219
Train Epoch: 42 [38400/50000 (77%)]	Loss: 2.293522
Train Epoch: 42 [39680/50000 (79%)]	Loss: 2.611457
Train Epoch: 42 [40960/50000 (82%)]	Loss: 2.424342
Train Epoch: 42 [42240/50000 (84%)]	Loss: 2.431417
Train Epoch: 42 [43520/50000 (87%)]	Loss: 2.510635
Train Epoch: 42 [44800/50000 (90%)]	Loss: 2.559403
Train Epoch: 42 [46080/50000 (92%)]	Loss: 2.328191
Train Epoch: 42 [47360/50000 (95%)]	Loss: 2.546777
Train Epoch: 42 [48640/50000 (97%)]	Loss: 2.316211
Train Epoch: 42 [31200/50000 (100%)]	Loss: 2.450162
================================================================
Test: Average loss: 2.2523, Accuracy: 5016/10000 (50%)
================================================================
Train Epoch: 43 [0/50000 (0%)]	Loss: 2.323665
Train Epoch: 43 [1280/50000 (3%)]	Loss: 2.459324
Train Epoch: 43 [2560/50000 (5%)]	Loss: 2.286740
Train Epoch: 43 [3840/50000 (8%)]	Loss: 2.288160
Train Epoch: 43 [5120/50000 (10%)]	Loss: 2.158839
Train Epoch: 43 [6400/50000 (13%)]	Loss: 2.258263
Train Epoch: 43 [7680/50000 (15%)]	Loss: 2.402683
Train Epoch: 43 [8960/50000 (18%)]	Loss: 2.282485
Train Epoch: 43 [10240/50000 (20%)]	Loss: 2.435357
Train Epoch: 43 [11520/50000 (23%)]	Loss: 2.323895
Train Epoch: 43 [12800/50000 (26%)]	Loss: 2.393600
Train Epoch: 43 [14080/50000 (28%)]	Loss: 2.444543
Train Epoch: 43 [15360/50000 (31%)]	Loss: 2.431491
Train Epoch: 43 [16640/50000 (33%)]	Loss: 2.226312
Train Epoch: 43 [17920/50000 (36%)]	Loss: 2.430321
Train Epoch: 43 [19200/50000 (38%)]	Loss: 2.383065
Train Epoch: 43 [20480/50000 (41%)]	Loss: 2.369797
Train Epoch: 43 [21760/50000 (43%)]	Loss: 2.382582
Train Epoch: 43 [23040/50000 (46%)]	Loss: 2.344095
Train Epoch: 43 [24320/50000 (49%)]	Loss: 2.238156
Train Epoch: 43 [25600/50000 (51%)]	Loss: 2.220632
Train Epoch: 43 [26880/50000 (54%)]	Loss: 2.406631
Train Epoch: 43 [28160/50000 (56%)]	Loss: 2.567032
Train Epoch: 43 [29440/50000 (59%)]	Loss: 2.625728
Train Epoch: 43 [30720/50000 (61%)]	Loss: 2.440339
Train Epoch: 43 [32000/50000 (64%)]	Loss: 2.560975
Train Epoch: 43 [33280/50000 (66%)]	Loss: 2.376561
Train Epoch: 43 [34560/50000 (69%)]	Loss: 2.364724
Train Epoch: 43 [35840/50000 (72%)]	Loss: 2.279665
Train Epoch: 43 [37120/50000 (74%)]	Loss: 2.265692
Train Epoch: 43 [38400/50000 (77%)]	Loss: 2.401837
Train Epoch: 43 [39680/50000 (79%)]	Loss: 2.547730
Train Epoch: 43 [40960/50000 (82%)]	Loss: 2.652244
Train Epoch: 43 [42240/50000 (84%)]	Loss: 2.463157
Train Epoch: 43 [43520/50000 (87%)]	Loss: 2.326390
Train Epoch: 43 [44800/50000 (90%)]	Loss: 2.426201
Train Epoch: 43 [46080/50000 (92%)]	Loss: 2.357464
Train Epoch: 43 [47360/50000 (95%)]	Loss: 2.390375
Train Epoch: 43 [48640/50000 (97%)]	Loss: 2.318514
Train Epoch: 43 [31200/50000 (100%)]	Loss: 2.511922
================================================================
Test: Average loss: 2.2849, Accuracy: 4911/10000 (49%)
================================================================
Train Epoch: 44 [0/50000 (0%)]	Loss: 2.267802
Train Epoch: 44 [1280/50000 (3%)]	Loss: 2.327349
Train Epoch: 44 [2560/50000 (5%)]	Loss: 2.207321
Train Epoch: 44 [3840/50000 (8%)]	Loss: 2.533713
Train Epoch: 44 [5120/50000 (10%)]	Loss: 2.288801
Train Epoch: 44 [6400/50000 (13%)]	Loss: 2.289453
Train Epoch: 44 [7680/50000 (15%)]	Loss: 2.218331
Train Epoch: 44 [8960/50000 (18%)]	Loss: 2.309614
Train Epoch: 44 [10240/50000 (20%)]	Loss: 2.530325
Train Epoch: 44 [11520/50000 (23%)]	Loss: 2.450677
Train Epoch: 44 [12800/50000 (26%)]	Loss: 2.254215
Train Epoch: 44 [14080/50000 (28%)]	Loss: 2.384073
Train Epoch: 44 [15360/50000 (31%)]	Loss: 2.315491
Train Epoch: 44 [16640/50000 (33%)]	Loss: 2.387308
Train Epoch: 44 [17920/50000 (36%)]	Loss: 2.348705
Train Epoch: 44 [19200/50000 (38%)]	Loss: 2.424139
Train Epoch: 44 [20480/50000 (41%)]	Loss: 2.369797
Train Epoch: 44 [21760/50000 (43%)]	Loss: 2.270552
Train Epoch: 44 [23040/50000 (46%)]	Loss: 2.378936
Train Epoch: 44 [24320/50000 (49%)]	Loss: 2.493041
Train Epoch: 44 [25600/50000 (51%)]	Loss: 2.455227
Train Epoch: 44 [26880/50000 (54%)]	Loss: 2.365565
Train Epoch: 44 [28160/50000 (56%)]	Loss: 2.490544
Train Epoch: 44 [29440/50000 (59%)]	Loss: 2.470077
Train Epoch: 44 [30720/50000 (61%)]	Loss: 2.443774
Train Epoch: 44 [32000/50000 (64%)]	Loss: 2.436817
Train Epoch: 44 [33280/50000 (66%)]	Loss: 2.386027
Train Epoch: 44 [34560/50000 (69%)]	Loss: 2.331983
Train Epoch: 44 [35840/50000 (72%)]	Loss: 2.358725
Train Epoch: 44 [37120/50000 (74%)]	Loss: 2.476215
Train Epoch: 44 [38400/50000 (77%)]	Loss: 2.522067
Train Epoch: 44 [39680/50000 (79%)]	Loss: 2.442977
Train Epoch: 44 [40960/50000 (82%)]	Loss: 2.326387
Train Epoch: 44 [42240/50000 (84%)]	Loss: 2.312616
Train Epoch: 44 [43520/50000 (87%)]	Loss: 2.452214
Train Epoch: 44 [44800/50000 (90%)]	Loss: 2.486263
Train Epoch: 44 [46080/50000 (92%)]	Loss: 2.613071
Train Epoch: 44 [47360/50000 (95%)]	Loss: 2.477386
Train Epoch: 44 [48640/50000 (97%)]	Loss: 2.486405
Train Epoch: 44 [31200/50000 (100%)]	Loss: 2.434727
================================================================
Test: Average loss: 2.2188, Accuracy: 4988/10000 (50%)
================================================================
Train Epoch: 45 [0/50000 (0%)]	Loss: 2.276156
Train Epoch: 45 [1280/50000 (3%)]	Loss: 2.385753
Train Epoch: 45 [2560/50000 (5%)]	Loss: 2.277131
Train Epoch: 45 [3840/50000 (8%)]	Loss: 2.337940
Train Epoch: 45 [5120/50000 (10%)]	Loss: 2.327344
Train Epoch: 45 [6400/50000 (13%)]	Loss: 2.338477
Train Epoch: 45 [7680/50000 (15%)]	Loss: 2.239513
Train Epoch: 45 [8960/50000 (18%)]	Loss: 2.337279
Train Epoch: 45 [10240/50000 (20%)]	Loss: 2.380316
Train Epoch: 45 [11520/50000 (23%)]	Loss: 2.534854
Train Epoch: 45 [12800/50000 (26%)]	Loss: 2.476108
Train Epoch: 45 [14080/50000 (28%)]	Loss: 2.518279
Train Epoch: 45 [15360/50000 (31%)]	Loss: 2.352668
Train Epoch: 45 [16640/50000 (33%)]	Loss: 2.105829
Train Epoch: 45 [17920/50000 (36%)]	Loss: 2.555331
Train Epoch: 45 [19200/50000 (38%)]	Loss: 2.260894
Train Epoch: 45 [20480/50000 (41%)]	Loss: 2.371868
Train Epoch: 45 [21760/50000 (43%)]	Loss: 2.348614
Train Epoch: 45 [23040/50000 (46%)]	Loss: 2.338689
Train Epoch: 45 [24320/50000 (49%)]	Loss: 2.489718
Train Epoch: 45 [25600/50000 (51%)]	Loss: 2.395824
Train Epoch: 45 [26880/50000 (54%)]	Loss: 2.503280
Train Epoch: 45 [28160/50000 (56%)]	Loss: 2.514493
Train Epoch: 45 [29440/50000 (59%)]	Loss: 2.349125
Train Epoch: 45 [30720/50000 (61%)]	Loss: 2.478593
Train Epoch: 45 [32000/50000 (64%)]	Loss: 2.392261
Train Epoch: 45 [33280/50000 (66%)]	Loss: 2.090710
Train Epoch: 45 [34560/50000 (69%)]	Loss: 2.411443
Train Epoch: 45 [35840/50000 (72%)]	Loss: 2.447396
Train Epoch: 45 [37120/50000 (74%)]	Loss: 2.325734
Train Epoch: 45 [38400/50000 (77%)]	Loss: 2.318967
Train Epoch: 45 [39680/50000 (79%)]	Loss: 2.417711
Train Epoch: 45 [40960/50000 (82%)]	Loss: 2.435755
Train Epoch: 45 [42240/50000 (84%)]	Loss: 2.472331
Train Epoch: 45 [43520/50000 (87%)]	Loss: 2.349721
Train Epoch: 45 [44800/50000 (90%)]	Loss: 2.470797
Train Epoch: 45 [46080/50000 (92%)]	Loss: 2.401814
Train Epoch: 45 [47360/50000 (95%)]	Loss: 2.500424
Train Epoch: 45 [48640/50000 (97%)]	Loss: 2.640563
Train Epoch: 45 [31200/50000 (100%)]	Loss: 2.328983
================================================================
Test: Average loss: 2.2354, Accuracy: 5027/10000 (50%)
================================================================
Train Epoch: 46 [0/50000 (0%)]	Loss: 2.173372
Train Epoch: 46 [1280/50000 (3%)]	Loss: 2.190894
Train Epoch: 46 [2560/50000 (5%)]	Loss: 2.319901
Train Epoch: 46 [3840/50000 (8%)]	Loss: 2.394175
Train Epoch: 46 [5120/50000 (10%)]	Loss: 2.312573
Train Epoch: 46 [6400/50000 (13%)]	Loss: 2.465236
Train Epoch: 46 [7680/50000 (15%)]	Loss: 2.343992
Train Epoch: 46 [8960/50000 (18%)]	Loss: 2.246337
Train Epoch: 46 [10240/50000 (20%)]	Loss: 2.473132
Train Epoch: 46 [11520/50000 (23%)]	Loss: 2.547722
Train Epoch: 46 [12800/50000 (26%)]	Loss: 2.299337
Train Epoch: 46 [14080/50000 (28%)]	Loss: 2.511031
Train Epoch: 46 [15360/50000 (31%)]	Loss: 2.433746
Train Epoch: 46 [16640/50000 (33%)]	Loss: 2.310358
Train Epoch: 46 [17920/50000 (36%)]	Loss: 2.393573
Train Epoch: 46 [19200/50000 (38%)]	Loss: 2.410720
Train Epoch: 46 [20480/50000 (41%)]	Loss: 2.347324
Train Epoch: 46 [21760/50000 (43%)]	Loss: 2.376025
Train Epoch: 46 [23040/50000 (46%)]	Loss: 2.563088
Train Epoch: 46 [24320/50000 (49%)]	Loss: 2.630772
Train Epoch: 46 [25600/50000 (51%)]	Loss: 2.387335
Train Epoch: 46 [26880/50000 (54%)]	Loss: 2.375159
Train Epoch: 46 [28160/50000 (56%)]	Loss: 2.418149
Train Epoch: 46 [29440/50000 (59%)]	Loss: 2.356119
Train Epoch: 46 [30720/50000 (61%)]	Loss: 2.331192
Train Epoch: 46 [32000/50000 (64%)]	Loss: 2.375766
Train Epoch: 46 [33280/50000 (66%)]	Loss: 2.356552
Train Epoch: 46 [34560/50000 (69%)]	Loss: 2.307230
Train Epoch: 46 [35840/50000 (72%)]	Loss: 2.494453
Train Epoch: 46 [37120/50000 (74%)]	Loss: 2.534554
Train Epoch: 46 [38400/50000 (77%)]	Loss: 2.361347
Train Epoch: 46 [39680/50000 (79%)]	Loss: 2.476347
Train Epoch: 46 [40960/50000 (82%)]	Loss: 2.533657
Train Epoch: 46 [42240/50000 (84%)]	Loss: 2.516613
Train Epoch: 46 [43520/50000 (87%)]	Loss: 2.516341
Train Epoch: 46 [44800/50000 (90%)]	Loss: 2.287935
Train Epoch: 46 [46080/50000 (92%)]	Loss: 2.413269
Train Epoch: 46 [47360/50000 (95%)]	Loss: 2.486664
Train Epoch: 46 [48640/50000 (97%)]	Loss: 2.214926
Train Epoch: 46 [31200/50000 (100%)]	Loss: 2.525353
================================================================
Test: Average loss: 2.2648, Accuracy: 4885/10000 (49%)
================================================================
Train Epoch: 47 [0/50000 (0%)]	Loss: 2.173068
Train Epoch: 47 [1280/50000 (3%)]	Loss: 2.238635
Train Epoch: 47 [2560/50000 (5%)]	Loss: 2.278540
Train Epoch: 47 [3840/50000 (8%)]	Loss: 2.331911
Train Epoch: 47 [5120/50000 (10%)]	Loss: 2.440316
Train Epoch: 47 [6400/50000 (13%)]	Loss: 2.354346
Train Epoch: 47 [7680/50000 (15%)]	Loss: 2.270677
Train Epoch: 47 [8960/50000 (18%)]	Loss: 2.322630
Train Epoch: 47 [10240/50000 (20%)]	Loss: 2.441461
Train Epoch: 47 [11520/50000 (23%)]	Loss: 2.443994
Train Epoch: 47 [12800/50000 (26%)]	Loss: 2.562506
Train Epoch: 47 [14080/50000 (28%)]	Loss: 2.522368
Train Epoch: 47 [15360/50000 (31%)]	Loss: 2.346479
Train Epoch: 47 [16640/50000 (33%)]	Loss: 2.257890
Train Epoch: 47 [17920/50000 (36%)]	Loss: 2.314968
Train Epoch: 47 [19200/50000 (38%)]	Loss: 2.287150
Train Epoch: 47 [20480/50000 (41%)]	Loss: 2.476900
Train Epoch: 47 [21760/50000 (43%)]	Loss: 2.330379
Train Epoch: 47 [23040/50000 (46%)]	Loss: 2.260188
Train Epoch: 47 [24320/50000 (49%)]	Loss: 2.155349
Train Epoch: 47 [25600/50000 (51%)]	Loss: 2.316441
Train Epoch: 47 [26880/50000 (54%)]	Loss: 2.415079
Train Epoch: 47 [28160/50000 (56%)]	Loss: 2.272733
Train Epoch: 47 [29440/50000 (59%)]	Loss: 2.456099
Train Epoch: 47 [30720/50000 (61%)]	Loss: 2.264402
Train Epoch: 47 [32000/50000 (64%)]	Loss: 2.611839
Train Epoch: 47 [33280/50000 (66%)]	Loss: 2.492724
Train Epoch: 47 [34560/50000 (69%)]	Loss: 2.277198
Train Epoch: 47 [35840/50000 (72%)]	Loss: 2.573031
Train Epoch: 47 [37120/50000 (74%)]	Loss: 2.301378
Train Epoch: 47 [38400/50000 (77%)]	Loss: 2.294287
Train Epoch: 47 [39680/50000 (79%)]	Loss: 2.406880
Train Epoch: 47 [40960/50000 (82%)]	Loss: 2.534543
Train Epoch: 47 [42240/50000 (84%)]	Loss: 2.664105
Train Epoch: 47 [43520/50000 (87%)]	Loss: 2.450352
Train Epoch: 47 [44800/50000 (90%)]	Loss: 2.319954
Train Epoch: 47 [46080/50000 (92%)]	Loss: 2.334486
Train Epoch: 47 [47360/50000 (95%)]	Loss: 2.455072
Train Epoch: 47 [48640/50000 (97%)]	Loss: 2.499077
Train Epoch: 47 [31200/50000 (100%)]	Loss: 2.348198
================================================================
Test: Average loss: 2.2292, Accuracy: 4986/10000 (50%)
================================================================
Train Epoch: 48 [0/50000 (0%)]	Loss: 2.183993
Train Epoch: 48 [1280/50000 (3%)]	Loss: 2.169273
Train Epoch: 48 [2560/50000 (5%)]	Loss: 2.288165
Train Epoch: 48 [3840/50000 (8%)]	Loss: 2.253795
Train Epoch: 48 [5120/50000 (10%)]	Loss: 2.423267
Train Epoch: 48 [6400/50000 (13%)]	Loss: 2.215183
Train Epoch: 48 [7680/50000 (15%)]	Loss: 2.125993
Train Epoch: 48 [8960/50000 (18%)]	Loss: 2.230287
Train Epoch: 48 [10240/50000 (20%)]	Loss: 2.262333
Train Epoch: 48 [11520/50000 (23%)]	Loss: 2.391427
Train Epoch: 48 [12800/50000 (26%)]	Loss: 2.504460
Train Epoch: 48 [14080/50000 (28%)]	Loss: 2.271689
Train Epoch: 48 [15360/50000 (31%)]	Loss: 2.423206
Train Epoch: 48 [16640/50000 (33%)]	Loss: 2.651908
Train Epoch: 48 [17920/50000 (36%)]	Loss: 2.261037
Train Epoch: 48 [19200/50000 (38%)]	Loss: 2.349733
Train Epoch: 48 [20480/50000 (41%)]	Loss: 2.474507
Train Epoch: 48 [21760/50000 (43%)]	Loss: 2.481195
Train Epoch: 48 [23040/50000 (46%)]	Loss: 2.304868
Train Epoch: 48 [24320/50000 (49%)]	Loss: 2.240166
Train Epoch: 48 [25600/50000 (51%)]	Loss: 2.355761
Train Epoch: 48 [26880/50000 (54%)]	Loss: 2.682255
Train Epoch: 48 [28160/50000 (56%)]	Loss: 2.388708
Train Epoch: 48 [29440/50000 (59%)]	Loss: 2.301333
Train Epoch: 48 [30720/50000 (61%)]	Loss: 2.353286
Train Epoch: 48 [32000/50000 (64%)]	Loss: 2.225544
Train Epoch: 48 [33280/50000 (66%)]	Loss: 2.372445
Train Epoch: 48 [34560/50000 (69%)]	Loss: 2.515231
Train Epoch: 48 [35840/50000 (72%)]	Loss: 2.335331
Train Epoch: 48 [37120/50000 (74%)]	Loss: 2.400022
Train Epoch: 48 [38400/50000 (77%)]	Loss: 2.475417
Train Epoch: 48 [39680/50000 (79%)]	Loss: 2.491672
Train Epoch: 48 [40960/50000 (82%)]	Loss: 2.465250
Train Epoch: 48 [42240/50000 (84%)]	Loss: 2.467895
Train Epoch: 48 [43520/50000 (87%)]	Loss: 2.318630
Train Epoch: 48 [44800/50000 (90%)]	Loss: 2.566091
Train Epoch: 48 [46080/50000 (92%)]	Loss: 2.466498
Train Epoch: 48 [47360/50000 (95%)]	Loss: 2.581138
Train Epoch: 48 [48640/50000 (97%)]	Loss: 2.389095
Train Epoch: 48 [31200/50000 (100%)]	Loss: 2.460820
================================================================
Test: Average loss: 2.2349, Accuracy: 5037/10000 (50%)
================================================================
Train Epoch: 49 [0/50000 (0%)]	Loss: 2.119885
Train Epoch: 49 [1280/50000 (3%)]	Loss: 2.364340
Train Epoch: 49 [2560/50000 (5%)]	Loss: 2.183906
Train Epoch: 49 [3840/50000 (8%)]	Loss: 2.493270
Train Epoch: 49 [5120/50000 (10%)]	Loss: 2.329019
Train Epoch: 49 [6400/50000 (13%)]	Loss: 2.331304
Train Epoch: 49 [7680/50000 (15%)]	Loss: 2.251102
Train Epoch: 49 [8960/50000 (18%)]	Loss: 2.505902
Train Epoch: 49 [10240/50000 (20%)]	Loss: 2.345765
Train Epoch: 49 [11520/50000 (23%)]	Loss: 2.301482
Train Epoch: 49 [12800/50000 (26%)]	Loss: 2.330468
Train Epoch: 49 [14080/50000 (28%)]	Loss: 2.283561
Train Epoch: 49 [15360/50000 (31%)]	Loss: 2.448919
Train Epoch: 49 [16640/50000 (33%)]	Loss: 2.258670
Train Epoch: 49 [17920/50000 (36%)]	Loss: 2.460404
Train Epoch: 49 [19200/50000 (38%)]	Loss: 2.322855
Train Epoch: 49 [20480/50000 (41%)]	Loss: 2.413509
Train Epoch: 49 [21760/50000 (43%)]	Loss: 2.319781
Train Epoch: 49 [23040/50000 (46%)]	Loss: 2.490457
Train Epoch: 49 [24320/50000 (49%)]	Loss: 2.431615
Train Epoch: 49 [25600/50000 (51%)]	Loss: 2.248122
Train Epoch: 49 [26880/50000 (54%)]	Loss: 2.385396
Train Epoch: 49 [28160/50000 (56%)]	Loss: 2.420885
Train Epoch: 49 [29440/50000 (59%)]	Loss: 2.247871
Train Epoch: 49 [30720/50000 (61%)]	Loss: 2.384776
Train Epoch: 49 [32000/50000 (64%)]	Loss: 2.614264
Train Epoch: 49 [33280/50000 (66%)]	Loss: 2.323792
Train Epoch: 49 [34560/50000 (69%)]	Loss: 2.406365
Train Epoch: 49 [35840/50000 (72%)]	Loss: 2.300142
Train Epoch: 49 [37120/50000 (74%)]	Loss: 2.316152
Train Epoch: 49 [38400/50000 (77%)]	Loss: 2.244856
Train Epoch: 49 [39680/50000 (79%)]	Loss: 2.293130
Train Epoch: 49 [40960/50000 (82%)]	Loss: 2.649665
Train Epoch: 49 [42240/50000 (84%)]	Loss: 2.430254
Train Epoch: 49 [43520/50000 (87%)]	Loss: 2.609013
Train Epoch: 49 [44800/50000 (90%)]	Loss: 2.461230
Train Epoch: 49 [46080/50000 (92%)]	Loss: 2.203128
Train Epoch: 49 [47360/50000 (95%)]	Loss: 2.468672
Train Epoch: 49 [48640/50000 (97%)]	Loss: 2.501834
Train Epoch: 49 [31200/50000 (100%)]	Loss: 2.700976
================================================================
Test: Average loss: 2.2370, Accuracy: 4950/10000 (50%)
================================================================
Train Epoch: 50 [0/50000 (0%)]	Loss: 2.093810
Train Epoch: 50 [1280/50000 (3%)]	Loss: 2.388922
Train Epoch: 50 [2560/50000 (5%)]	Loss: 2.429490
Train Epoch: 50 [3840/50000 (8%)]	Loss: 2.257809
Train Epoch: 50 [5120/50000 (10%)]	Loss: 2.239965
Train Epoch: 50 [6400/50000 (13%)]	Loss: 2.312337
Train Epoch: 50 [7680/50000 (15%)]	Loss: 2.300806
Train Epoch: 50 [8960/50000 (18%)]	Loss: 2.201474
Train Epoch: 50 [10240/50000 (20%)]	Loss: 2.495163
Train Epoch: 50 [11520/50000 (23%)]	Loss: 2.394086
Train Epoch: 50 [12800/50000 (26%)]	Loss: 2.215858
Train Epoch: 50 [14080/50000 (28%)]	Loss: 2.247365
Train Epoch: 50 [15360/50000 (31%)]	Loss: 2.252292
Train Epoch: 50 [16640/50000 (33%)]	Loss: 2.483594
Train Epoch: 50 [17920/50000 (36%)]	Loss: 2.326849
Train Epoch: 50 [19200/50000 (38%)]	Loss: 2.200745
Train Epoch: 50 [20480/50000 (41%)]	Loss: 2.470777
Train Epoch: 50 [21760/50000 (43%)]	Loss: 2.490790
Train Epoch: 50 [23040/50000 (46%)]	Loss: 2.336806
Train Epoch: 50 [24320/50000 (49%)]	Loss: 2.424141
Train Epoch: 50 [25600/50000 (51%)]	Loss: 2.476961
Train Epoch: 50 [26880/50000 (54%)]	Loss: 2.283254
Train Epoch: 50 [28160/50000 (56%)]	Loss: 2.455827
Train Epoch: 50 [29440/50000 (59%)]	Loss: 2.277977
Train Epoch: 50 [30720/50000 (61%)]	Loss: 2.430766
Train Epoch: 50 [32000/50000 (64%)]	Loss: 2.188515
Train Epoch: 50 [33280/50000 (66%)]	Loss: 2.414992
Train Epoch: 50 [34560/50000 (69%)]	Loss: 2.299416
Train Epoch: 50 [35840/50000 (72%)]	Loss: 2.253150
Train Epoch: 50 [37120/50000 (74%)]	Loss: 2.522659
Train Epoch: 50 [38400/50000 (77%)]	Loss: 2.331270
Train Epoch: 50 [39680/50000 (79%)]	Loss: 2.363082
Train Epoch: 50 [40960/50000 (82%)]	Loss: 2.446481
Train Epoch: 50 [42240/50000 (84%)]	Loss: 2.163655
Train Epoch: 50 [43520/50000 (87%)]	Loss: 2.381064
Train Epoch: 50 [44800/50000 (90%)]	Loss: 2.664915
Train Epoch: 50 [46080/50000 (92%)]	Loss: 2.345288
Train Epoch: 50 [47360/50000 (95%)]	Loss: 2.361377
Train Epoch: 50 [48640/50000 (97%)]	Loss: 2.317394
Train Epoch: 50 [31200/50000 (100%)]	Loss: 2.670789
================================================================
Test: Average loss: 2.2030, Accuracy: 5017/10000 (50%)
================================================================
Train Epoch: 51 [0/50000 (0%)]	Loss: 2.153094
Train Epoch: 51 [1280/50000 (3%)]	Loss: 2.250698
Train Epoch: 51 [2560/50000 (5%)]	Loss: 2.091406
Train Epoch: 51 [3840/50000 (8%)]	Loss: 2.190248
Train Epoch: 51 [5120/50000 (10%)]	Loss: 2.253170
Train Epoch: 51 [6400/50000 (13%)]	Loss: 2.378428
Train Epoch: 51 [7680/50000 (15%)]	Loss: 2.190182
Train Epoch: 51 [8960/50000 (18%)]	Loss: 2.319189
Train Epoch: 51 [10240/50000 (20%)]	Loss: 2.176149
Train Epoch: 51 [11520/50000 (23%)]	Loss: 2.365876
Train Epoch: 51 [12800/50000 (26%)]	Loss: 2.489780
Train Epoch: 51 [14080/50000 (28%)]	Loss: 2.535072
Train Epoch: 51 [15360/50000 (31%)]	Loss: 2.397106
Train Epoch: 51 [16640/50000 (33%)]	Loss: 2.320754
Train Epoch: 51 [17920/50000 (36%)]	Loss: 2.345071
Train Epoch: 51 [19200/50000 (38%)]	Loss: 2.302037
Train Epoch: 51 [20480/50000 (41%)]	Loss: 2.392526
Train Epoch: 51 [21760/50000 (43%)]	Loss: 2.462157
Train Epoch: 51 [23040/50000 (46%)]	Loss: 2.548346
Train Epoch: 51 [24320/50000 (49%)]	Loss: 2.520252
Train Epoch: 51 [25600/50000 (51%)]	Loss: 2.468910
Train Epoch: 51 [26880/50000 (54%)]	Loss: 2.342900
Train Epoch: 51 [28160/50000 (56%)]	Loss: 2.426960
Train Epoch: 51 [29440/50000 (59%)]	Loss: 2.201838
Train Epoch: 51 [30720/50000 (61%)]	Loss: 2.178451
Train Epoch: 51 [32000/50000 (64%)]	Loss: 2.432168
Train Epoch: 51 [33280/50000 (66%)]	Loss: 2.356388
Train Epoch: 51 [34560/50000 (69%)]	Loss: 2.512544
Train Epoch: 51 [35840/50000 (72%)]	Loss: 2.365365
Train Epoch: 51 [37120/50000 (74%)]	Loss: 2.379901
Train Epoch: 51 [38400/50000 (77%)]	Loss: 2.388120
Train Epoch: 51 [39680/50000 (79%)]	Loss: 2.452742
Train Epoch: 51 [40960/50000 (82%)]	Loss: 2.318456
Train Epoch: 51 [42240/50000 (84%)]	Loss: 2.474867
Train Epoch: 51 [43520/50000 (87%)]	Loss: 2.437431
Train Epoch: 51 [44800/50000 (90%)]	Loss: 2.286344
Train Epoch: 51 [46080/50000 (92%)]	Loss: 2.506880
Train Epoch: 51 [47360/50000 (95%)]	Loss: 2.522255
Train Epoch: 51 [48640/50000 (97%)]	Loss: 2.459044
Train Epoch: 51 [31200/50000 (100%)]	Loss: 2.564067
================================================================
Test: Average loss: 2.1943, Accuracy: 5119/10000 (51%)
================================================================
Train Epoch: 52 [0/50000 (0%)]	Loss: 2.199356
Train Epoch: 52 [1280/50000 (3%)]	Loss: 2.353372
Train Epoch: 52 [2560/50000 (5%)]	Loss: 2.134083
Train Epoch: 52 [3840/50000 (8%)]	Loss: 2.300714
Train Epoch: 52 [5120/50000 (10%)]	Loss: 2.154673
Train Epoch: 52 [6400/50000 (13%)]	Loss: 2.173125
Train Epoch: 52 [7680/50000 (15%)]	Loss: 2.359411
Train Epoch: 52 [8960/50000 (18%)]	Loss: 2.231870
Train Epoch: 52 [10240/50000 (20%)]	Loss: 2.314509
Train Epoch: 52 [11520/50000 (23%)]	Loss: 2.160066
Train Epoch: 52 [12800/50000 (26%)]	Loss: 2.355320
Train Epoch: 52 [14080/50000 (28%)]	Loss: 2.432419
Train Epoch: 52 [15360/50000 (31%)]	Loss: 2.289955
Train Epoch: 52 [16640/50000 (33%)]	Loss: 2.124620
Train Epoch: 52 [17920/50000 (36%)]	Loss: 2.327355
Train Epoch: 52 [19200/50000 (38%)]	Loss: 2.180492
Train Epoch: 52 [20480/50000 (41%)]	Loss: 2.408058
Train Epoch: 52 [21760/50000 (43%)]	Loss: 2.395350
Train Epoch: 52 [23040/50000 (46%)]	Loss: 2.490263
Train Epoch: 52 [24320/50000 (49%)]	Loss: 2.434147
Train Epoch: 52 [25600/50000 (51%)]	Loss: 2.271983
Train Epoch: 52 [26880/50000 (54%)]	Loss: 2.233420
Train Epoch: 52 [28160/50000 (56%)]	Loss: 2.234675
Train Epoch: 52 [29440/50000 (59%)]	Loss: 2.251486
Train Epoch: 52 [30720/50000 (61%)]	Loss: 2.473002
Train Epoch: 52 [32000/50000 (64%)]	Loss: 2.245479
Train Epoch: 52 [33280/50000 (66%)]	Loss: 2.400938
Train Epoch: 52 [34560/50000 (69%)]	Loss: 2.419379
Train Epoch: 52 [35840/50000 (72%)]	Loss: 2.294464
Train Epoch: 52 [37120/50000 (74%)]	Loss: 2.424023
Train Epoch: 52 [38400/50000 (77%)]	Loss: 2.081292
Train Epoch: 52 [39680/50000 (79%)]	Loss: 2.400836
Train Epoch: 52 [40960/50000 (82%)]	Loss: 2.437803
Train Epoch: 52 [42240/50000 (84%)]	Loss: 2.609031
Train Epoch: 52 [43520/50000 (87%)]	Loss: 2.242706
Train Epoch: 52 [44800/50000 (90%)]	Loss: 2.633051
Train Epoch: 52 [46080/50000 (92%)]	Loss: 2.462942
Train Epoch: 52 [47360/50000 (95%)]	Loss: 2.315589
Train Epoch: 52 [48640/50000 (97%)]	Loss: 2.391988
Train Epoch: 52 [31200/50000 (100%)]	Loss: 2.346533
================================================================
Test: Average loss: 2.2562, Accuracy: 4957/10000 (50%)
================================================================
Train Epoch: 53 [0/50000 (0%)]	Loss: 2.221368
Train Epoch: 53 [1280/50000 (3%)]	Loss: 2.302743
Train Epoch: 53 [2560/50000 (5%)]	Loss: 2.345252
Train Epoch: 53 [3840/50000 (8%)]	Loss: 2.152446
Train Epoch: 53 [5120/50000 (10%)]	Loss: 2.331174
Train Epoch: 53 [6400/50000 (13%)]	Loss: 2.141003
Train Epoch: 53 [7680/50000 (15%)]	Loss: 2.338884
Train Epoch: 53 [8960/50000 (18%)]	Loss: 2.474274
Train Epoch: 53 [10240/50000 (20%)]	Loss: 2.438376
Train Epoch: 53 [11520/50000 (23%)]	Loss: 2.193129
Train Epoch: 53 [12800/50000 (26%)]	Loss: 2.406510
Train Epoch: 53 [14080/50000 (28%)]	Loss: 2.409226
Train Epoch: 53 [15360/50000 (31%)]	Loss: 2.327728
Train Epoch: 53 [16640/50000 (33%)]	Loss: 2.330660
Train Epoch: 53 [17920/50000 (36%)]	Loss: 2.400423
Train Epoch: 53 [19200/50000 (38%)]	Loss: 2.435764
Train Epoch: 53 [20480/50000 (41%)]	Loss: 2.319314
Train Epoch: 53 [21760/50000 (43%)]	Loss: 2.270931
Train Epoch: 53 [23040/50000 (46%)]	Loss: 2.325220
Train Epoch: 53 [24320/50000 (49%)]	Loss: 2.291287
Train Epoch: 53 [25600/50000 (51%)]	Loss: 2.434536
Train Epoch: 53 [26880/50000 (54%)]	Loss: 2.237450
Train Epoch: 53 [28160/50000 (56%)]	Loss: 2.355617
Train Epoch: 53 [29440/50000 (59%)]	Loss: 2.209484
Train Epoch: 53 [30720/50000 (61%)]	Loss: 2.560935
Train Epoch: 53 [32000/50000 (64%)]	Loss: 2.250098
Train Epoch: 53 [33280/50000 (66%)]	Loss: 2.459779
Train Epoch: 53 [34560/50000 (69%)]	Loss: 2.472355
Train Epoch: 53 [35840/50000 (72%)]	Loss: 2.454611
Train Epoch: 53 [37120/50000 (74%)]	Loss: 2.239661
Train Epoch: 53 [38400/50000 (77%)]	Loss: 2.433272
Train Epoch: 53 [39680/50000 (79%)]	Loss: 2.155741
Train Epoch: 53 [40960/50000 (82%)]	Loss: 2.218325
Train Epoch: 53 [42240/50000 (84%)]	Loss: 2.445815
Train Epoch: 53 [43520/50000 (87%)]	Loss: 2.793267
Train Epoch: 53 [44800/50000 (90%)]	Loss: 2.459021
Train Epoch: 53 [46080/50000 (92%)]	Loss: 2.558083
Train Epoch: 53 [47360/50000 (95%)]	Loss: 2.434481
Train Epoch: 53 [48640/50000 (97%)]	Loss: 2.492481
Train Epoch: 53 [31200/50000 (100%)]	Loss: 2.098097
================================================================
Test: Average loss: 2.2362, Accuracy: 4956/10000 (50%)
================================================================
Train Epoch: 54 [0/50000 (0%)]	Loss: 1.981929
Train Epoch: 54 [1280/50000 (3%)]	Loss: 2.163754
Train Epoch: 54 [2560/50000 (5%)]	Loss: 2.273438
Train Epoch: 54 [3840/50000 (8%)]	Loss: 2.278147
Train Epoch: 54 [5120/50000 (10%)]	Loss: 2.127364
Train Epoch: 54 [6400/50000 (13%)]	Loss: 2.203554
Train Epoch: 54 [7680/50000 (15%)]	Loss: 2.121397
Train Epoch: 54 [8960/50000 (18%)]	Loss: 2.316306
Train Epoch: 54 [10240/50000 (20%)]	Loss: 2.442612
Train Epoch: 54 [11520/50000 (23%)]	Loss: 2.278844
Train Epoch: 54 [12800/50000 (26%)]	Loss: 2.246213
Train Epoch: 54 [14080/50000 (28%)]	Loss: 2.293322
Train Epoch: 54 [15360/50000 (31%)]	Loss: 2.336830
Train Epoch: 54 [16640/50000 (33%)]	Loss: 2.249797
Train Epoch: 54 [17920/50000 (36%)]	Loss: 2.234474
Train Epoch: 54 [19200/50000 (38%)]	Loss: 2.525257
Train Epoch: 54 [20480/50000 (41%)]	Loss: 2.341155
Train Epoch: 54 [21760/50000 (43%)]	Loss: 2.149867
Train Epoch: 54 [23040/50000 (46%)]	Loss: 2.475947
Train Epoch: 54 [24320/50000 (49%)]	Loss: 2.391579
Train Epoch: 54 [25600/50000 (51%)]	Loss: 2.191799
Train Epoch: 54 [26880/50000 (54%)]	Loss: 2.305826
Train Epoch: 54 [28160/50000 (56%)]	Loss: 2.340151
Train Epoch: 54 [29440/50000 (59%)]	Loss: 2.178946
Train Epoch: 54 [30720/50000 (61%)]	Loss: 2.286266
Train Epoch: 54 [32000/50000 (64%)]	Loss: 2.459117
Train Epoch: 54 [33280/50000 (66%)]	Loss: 2.459060
Train Epoch: 54 [34560/50000 (69%)]	Loss: 2.589332
Train Epoch: 54 [35840/50000 (72%)]	Loss: 2.361126
Train Epoch: 54 [37120/50000 (74%)]	Loss: 2.418645
Train Epoch: 54 [38400/50000 (77%)]	Loss: 2.317963
Train Epoch: 54 [39680/50000 (79%)]	Loss: 2.280773
Train Epoch: 54 [40960/50000 (82%)]	Loss: 2.388455
Train Epoch: 54 [42240/50000 (84%)]	Loss: 2.414911
Train Epoch: 54 [43520/50000 (87%)]	Loss: 2.479510
Train Epoch: 54 [44800/50000 (90%)]	Loss: 2.223477
Train Epoch: 54 [46080/50000 (92%)]	Loss: 2.313236
Train Epoch: 54 [47360/50000 (95%)]	Loss: 2.645366
Train Epoch: 54 [48640/50000 (97%)]	Loss: 2.290325
Train Epoch: 54 [31200/50000 (100%)]	Loss: 2.160675
================================================================
Test: Average loss: 2.2377, Accuracy: 4945/10000 (49%)
================================================================
Train Epoch: 55 [0/50000 (0%)]	Loss: 2.236588
Train Epoch: 55 [1280/50000 (3%)]	Loss: 2.311534
Train Epoch: 55 [2560/50000 (5%)]	Loss: 2.133031
Train Epoch: 55 [3840/50000 (8%)]	Loss: 2.202278
Train Epoch: 55 [5120/50000 (10%)]	Loss: 2.272099
Train Epoch: 55 [6400/50000 (13%)]	Loss: 2.217638
Train Epoch: 55 [7680/50000 (15%)]	Loss: 2.216597
Train Epoch: 55 [8960/50000 (18%)]	Loss: 2.256072
Train Epoch: 55 [10240/50000 (20%)]	Loss: 2.416418
Train Epoch: 55 [11520/50000 (23%)]	Loss: 2.422168
Train Epoch: 55 [12800/50000 (26%)]	Loss: 2.379417
Train Epoch: 55 [14080/50000 (28%)]	Loss: 2.187675
Train Epoch: 55 [15360/50000 (31%)]	Loss: 2.447584
Train Epoch: 55 [16640/50000 (33%)]	Loss: 2.256188
Train Epoch: 55 [17920/50000 (36%)]	Loss: 2.256094
Train Epoch: 55 [19200/50000 (38%)]	Loss: 2.249310
Train Epoch: 55 [20480/50000 (41%)]	Loss: 2.307811
Train Epoch: 55 [21760/50000 (43%)]	Loss: 2.451121
Train Epoch: 55 [23040/50000 (46%)]	Loss: 2.279899
Train Epoch: 55 [24320/50000 (49%)]	Loss: 2.280798
Train Epoch: 55 [25600/50000 (51%)]	Loss: 2.169471
Train Epoch: 55 [26880/50000 (54%)]	Loss: 2.264015
Train Epoch: 55 [28160/50000 (56%)]	Loss: 2.498203
Train Epoch: 55 [29440/50000 (59%)]	Loss: 2.363295
Train Epoch: 55 [30720/50000 (61%)]	Loss: 2.302287
Train Epoch: 55 [32000/50000 (64%)]	Loss: 2.366502
Train Epoch: 55 [33280/50000 (66%)]	Loss: 2.410318
Train Epoch: 55 [34560/50000 (69%)]	Loss: 2.434413
Train Epoch: 55 [35840/50000 (72%)]	Loss: 2.368020
Train Epoch: 55 [37120/50000 (74%)]	Loss: 2.279535
Train Epoch: 55 [38400/50000 (77%)]	Loss: 2.523600
Train Epoch: 55 [39680/50000 (79%)]	Loss: 2.326864
Train Epoch: 55 [40960/50000 (82%)]	Loss: 2.489952
Train Epoch: 55 [42240/50000 (84%)]	Loss: 2.399903
Train Epoch: 55 [43520/50000 (87%)]	Loss: 2.223390
Train Epoch: 55 [44800/50000 (90%)]	Loss: 2.303991
Train Epoch: 55 [46080/50000 (92%)]	Loss: 2.401567
Train Epoch: 55 [47360/50000 (95%)]	Loss: 2.526552
Train Epoch: 55 [48640/50000 (97%)]	Loss: 2.280464
Train Epoch: 55 [31200/50000 (100%)]	Loss: 2.309447
================================================================
Test: Average loss: 2.2594, Accuracy: 4928/10000 (49%)
================================================================
Train Epoch: 56 [0/50000 (0%)]	Loss: 2.262262
Train Epoch: 56 [1280/50000 (3%)]	Loss: 2.263421
Train Epoch: 56 [2560/50000 (5%)]	Loss: 2.157109
Train Epoch: 56 [3840/50000 (8%)]	Loss: 2.179517
Train Epoch: 56 [5120/50000 (10%)]	Loss: 2.304141
Train Epoch: 56 [6400/50000 (13%)]	Loss: 2.079201
Train Epoch: 56 [7680/50000 (15%)]	Loss: 2.170781
Train Epoch: 56 [8960/50000 (18%)]	Loss: 2.117409
Train Epoch: 56 [10240/50000 (20%)]	Loss: 2.320704
Train Epoch: 56 [11520/50000 (23%)]	Loss: 2.290391
Train Epoch: 56 [12800/50000 (26%)]	Loss: 2.418572
Train Epoch: 56 [14080/50000 (28%)]	Loss: 2.273944
Train Epoch: 56 [15360/50000 (31%)]	Loss: 2.347282
Train Epoch: 56 [16640/50000 (33%)]	Loss: 2.420127
Train Epoch: 56 [17920/50000 (36%)]	Loss: 2.267782
Train Epoch: 56 [19200/50000 (38%)]	Loss: 2.181486
Train Epoch: 56 [20480/50000 (41%)]	Loss: 2.346589
Train Epoch: 56 [21760/50000 (43%)]	Loss: 2.351108
Train Epoch: 56 [23040/50000 (46%)]	Loss: 2.416577
Train Epoch: 56 [24320/50000 (49%)]	Loss: 2.343508
Train Epoch: 56 [25600/50000 (51%)]	Loss: 2.450992
Train Epoch: 56 [26880/50000 (54%)]	Loss: 2.409971
Train Epoch: 56 [28160/50000 (56%)]	Loss: 2.409361
Train Epoch: 56 [29440/50000 (59%)]	Loss: 2.503698
Train Epoch: 56 [30720/50000 (61%)]	Loss: 2.358664
Train Epoch: 56 [32000/50000 (64%)]	Loss: 2.351066
Train Epoch: 56 [33280/50000 (66%)]	Loss: 2.454268
Train Epoch: 56 [34560/50000 (69%)]	Loss: 2.431068
Train Epoch: 56 [35840/50000 (72%)]	Loss: 2.320479
Train Epoch: 56 [37120/50000 (74%)]	Loss: 2.384606
Train Epoch: 56 [38400/50000 (77%)]	Loss: 2.246208
Train Epoch: 56 [39680/50000 (79%)]	Loss: 2.157791
Train Epoch: 56 [40960/50000 (82%)]	Loss: 2.566960
Train Epoch: 56 [42240/50000 (84%)]	Loss: 2.507932
Train Epoch: 56 [43520/50000 (87%)]	Loss: 2.239151
Train Epoch: 56 [44800/50000 (90%)]	Loss: 2.341187
Train Epoch: 56 [46080/50000 (92%)]	Loss: 2.301184
Train Epoch: 56 [47360/50000 (95%)]	Loss: 2.489377
Train Epoch: 56 [48640/50000 (97%)]	Loss: 2.528750
Train Epoch: 56 [31200/50000 (100%)]	Loss: 2.435423
================================================================
Test: Average loss: 2.2417, Accuracy: 4951/10000 (50%)
================================================================
Train Epoch: 57 [0/50000 (0%)]	Loss: 2.184211
Train Epoch: 57 [1280/50000 (3%)]	Loss: 2.283761
Train Epoch: 57 [2560/50000 (5%)]	Loss: 2.041863
Train Epoch: 57 [3840/50000 (8%)]	Loss: 2.180247
Train Epoch: 57 [5120/50000 (10%)]	Loss: 2.303163
Train Epoch: 57 [6400/50000 (13%)]	Loss: 2.419740
Train Epoch: 57 [7680/50000 (15%)]	Loss: 2.256758
Train Epoch: 57 [8960/50000 (18%)]	Loss: 2.426892
Train Epoch: 57 [10240/50000 (20%)]	Loss: 2.284405
Train Epoch: 57 [11520/50000 (23%)]	Loss: 2.160512
Train Epoch: 57 [12800/50000 (26%)]	Loss: 2.219149
Train Epoch: 57 [14080/50000 (28%)]	Loss: 2.254241
Train Epoch: 57 [15360/50000 (31%)]	Loss: 2.416325
Train Epoch: 57 [16640/50000 (33%)]	Loss: 2.220882
Train Epoch: 57 [17920/50000 (36%)]	Loss: 2.230224
Train Epoch: 57 [19200/50000 (38%)]	Loss: 2.361003
Train Epoch: 57 [20480/50000 (41%)]	Loss: 2.249315
Train Epoch: 57 [21760/50000 (43%)]	Loss: 2.375013
Train Epoch: 57 [23040/50000 (46%)]	Loss: 2.421833
Train Epoch: 57 [24320/50000 (49%)]	Loss: 2.327555
Train Epoch: 57 [25600/50000 (51%)]	Loss: 2.189443
Train Epoch: 57 [26880/50000 (54%)]	Loss: 2.453638
Train Epoch: 57 [28160/50000 (56%)]	Loss: 2.268096
Train Epoch: 57 [29440/50000 (59%)]	Loss: 2.524025
Train Epoch: 57 [30720/50000 (61%)]	Loss: 2.250915
Train Epoch: 57 [32000/50000 (64%)]	Loss: 2.297035
Train Epoch: 57 [33280/50000 (66%)]	Loss: 2.280390
Train Epoch: 57 [34560/50000 (69%)]	Loss: 2.323343
Train Epoch: 57 [35840/50000 (72%)]	Loss: 2.198226
Train Epoch: 57 [37120/50000 (74%)]	Loss: 2.379400
Train Epoch: 57 [38400/50000 (77%)]	Loss: 2.388667
Train Epoch: 57 [39680/50000 (79%)]	Loss: 2.410393
Train Epoch: 57 [40960/50000 (82%)]	Loss: 2.236634
Train Epoch: 57 [42240/50000 (84%)]	Loss: 2.341639
Train Epoch: 57 [43520/50000 (87%)]	Loss: 2.223739
Train Epoch: 57 [44800/50000 (90%)]	Loss: 2.400384
Train Epoch: 57 [46080/50000 (92%)]	Loss: 2.438273
Train Epoch: 57 [47360/50000 (95%)]	Loss: 2.313230
Train Epoch: 57 [48640/50000 (97%)]	Loss: 2.249988
Train Epoch: 57 [31200/50000 (100%)]	Loss: 2.422151
================================================================
Test: Average loss: 2.1960, Accuracy: 5071/10000 (51%)
================================================================
Train Epoch: 58 [0/50000 (0%)]	Loss: 2.196414
Train Epoch: 58 [1280/50000 (3%)]	Loss: 2.242556
Train Epoch: 58 [2560/50000 (5%)]	Loss: 2.313874
Train Epoch: 58 [3840/50000 (8%)]	Loss: 2.240742
Train Epoch: 58 [5120/50000 (10%)]	Loss: 2.280321
Train Epoch: 58 [6400/50000 (13%)]	Loss: 2.019204
Train Epoch: 58 [7680/50000 (15%)]	Loss: 2.308630
Train Epoch: 58 [8960/50000 (18%)]	Loss: 2.015477
Train Epoch: 58 [10240/50000 (20%)]	Loss: 2.054160
Train Epoch: 58 [11520/50000 (23%)]	Loss: 2.293447
Train Epoch: 58 [12800/50000 (26%)]	Loss: 2.258063
Train Epoch: 58 [14080/50000 (28%)]	Loss: 2.298265
Train Epoch: 58 [15360/50000 (31%)]	Loss: 2.274431
Train Epoch: 58 [16640/50000 (33%)]	Loss: 2.219701
Train Epoch: 58 [17920/50000 (36%)]	Loss: 2.242649
Train Epoch: 58 [19200/50000 (38%)]	Loss: 2.262181
Train Epoch: 58 [20480/50000 (41%)]	Loss: 2.330569
Train Epoch: 58 [21760/50000 (43%)]	Loss: 2.161982
Train Epoch: 58 [23040/50000 (46%)]	Loss: 2.500501
Train Epoch: 58 [24320/50000 (49%)]	Loss: 2.254191
Train Epoch: 58 [25600/50000 (51%)]	Loss: 2.224918
Train Epoch: 58 [26880/50000 (54%)]	Loss: 2.316039
Train Epoch: 58 [28160/50000 (56%)]	Loss: 2.434587
Train Epoch: 58 [29440/50000 (59%)]	Loss: 2.230531
Train Epoch: 58 [30720/50000 (61%)]	Loss: 2.389500
Train Epoch: 58 [32000/50000 (64%)]	Loss: 2.207550
Train Epoch: 58 [33280/50000 (66%)]	Loss: 2.247493
Train Epoch: 58 [34560/50000 (69%)]	Loss: 2.358595
Train Epoch: 58 [35840/50000 (72%)]	Loss: 2.323956
Train Epoch: 58 [37120/50000 (74%)]	Loss: 2.433448
Train Epoch: 58 [38400/50000 (77%)]	Loss: 2.479144
Train Epoch: 58 [39680/50000 (79%)]	Loss: 2.539433
Train Epoch: 58 [40960/50000 (82%)]	Loss: 2.387806
Train Epoch: 58 [42240/50000 (84%)]	Loss: 2.280613
Train Epoch: 58 [43520/50000 (87%)]	Loss: 2.502180
Train Epoch: 58 [44800/50000 (90%)]	Loss: 2.414841
Train Epoch: 58 [46080/50000 (92%)]	Loss: 2.227553
Train Epoch: 58 [47360/50000 (95%)]	Loss: 2.391059
Train Epoch: 58 [48640/50000 (97%)]	Loss: 2.410075
Train Epoch: 58 [31200/50000 (100%)]	Loss: 2.357806
================================================================
Test: Average loss: 2.2104, Accuracy: 4992/10000 (50%)
================================================================
Train Epoch: 59 [0/50000 (0%)]	Loss: 1.996251
Train Epoch: 59 [1280/50000 (3%)]	Loss: 2.182038
Train Epoch: 59 [2560/50000 (5%)]	Loss: 2.177164
Train Epoch: 59 [3840/50000 (8%)]	Loss: 2.201547
Train Epoch: 59 [5120/50000 (10%)]	Loss: 2.135803
Train Epoch: 59 [6400/50000 (13%)]	Loss: 2.293540
Train Epoch: 59 [7680/50000 (15%)]	Loss: 2.129699
Train Epoch: 59 [8960/50000 (18%)]	Loss: 2.254254
Train Epoch: 59 [10240/50000 (20%)]	Loss: 2.326649
Train Epoch: 59 [11520/50000 (23%)]	Loss: 2.340000
Train Epoch: 59 [12800/50000 (26%)]	Loss: 2.174570
Train Epoch: 59 [14080/50000 (28%)]	Loss: 2.326884
Train Epoch: 59 [15360/50000 (31%)]	Loss: 2.179393
Train Epoch: 59 [16640/50000 (33%)]	Loss: 2.235938
Train Epoch: 59 [17920/50000 (36%)]	Loss: 2.259047
Train Epoch: 59 [19200/50000 (38%)]	Loss: 2.219687
Train Epoch: 59 [20480/50000 (41%)]	Loss: 2.489285
Train Epoch: 59 [21760/50000 (43%)]	Loss: 2.333119
Train Epoch: 59 [23040/50000 (46%)]	Loss: 2.314706
Train Epoch: 59 [24320/50000 (49%)]	Loss: 2.346433
Train Epoch: 59 [25600/50000 (51%)]	Loss: 2.112212
Train Epoch: 59 [26880/50000 (54%)]	Loss: 2.421543
Train Epoch: 59 [28160/50000 (56%)]	Loss: 2.194119
Train Epoch: 59 [29440/50000 (59%)]	Loss: 2.383103
Train Epoch: 59 [30720/50000 (61%)]	Loss: 2.552442
Train Epoch: 59 [32000/50000 (64%)]	Loss: 2.240405
Train Epoch: 59 [33280/50000 (66%)]	Loss: 2.547834
Train Epoch: 59 [34560/50000 (69%)]	Loss: 2.230217
Train Epoch: 59 [35840/50000 (72%)]	Loss: 2.541534
Train Epoch: 59 [37120/50000 (74%)]	Loss: 2.375710
Train Epoch: 59 [38400/50000 (77%)]	Loss: 2.329067
Train Epoch: 59 [39680/50000 (79%)]	Loss: 2.136496
Train Epoch: 59 [40960/50000 (82%)]	Loss: 2.403101
Train Epoch: 59 [42240/50000 (84%)]	Loss: 2.312825
Train Epoch: 59 [43520/50000 (87%)]	Loss: 2.580733
Train Epoch: 59 [44800/50000 (90%)]	Loss: 2.235712
Train Epoch: 59 [46080/50000 (92%)]	Loss: 2.398885
Train Epoch: 59 [47360/50000 (95%)]	Loss: 2.462080
Train Epoch: 59 [48640/50000 (97%)]	Loss: 2.303772
Train Epoch: 59 [31200/50000 (100%)]	Loss: 2.299255
================================================================
Test: Average loss: 2.2232, Accuracy: 5015/10000 (50%)
================================================================
Train Epoch: 60 [0/50000 (0%)]	Loss: 2.206337
Train Epoch: 60 [1280/50000 (3%)]	Loss: 2.204434
Train Epoch: 60 [2560/50000 (5%)]	Loss: 2.060282
Train Epoch: 60 [3840/50000 (8%)]	Loss: 2.199654
Train Epoch: 60 [5120/50000 (10%)]	Loss: 2.242360
Train Epoch: 60 [6400/50000 (13%)]	Loss: 2.209615
Train Epoch: 60 [7680/50000 (15%)]	Loss: 2.219573
Train Epoch: 60 [8960/50000 (18%)]	Loss: 2.284577
Train Epoch: 60 [10240/50000 (20%)]	Loss: 2.178851
Train Epoch: 60 [11520/50000 (23%)]	Loss: 2.079217
Train Epoch: 60 [12800/50000 (26%)]	Loss: 2.370453
Train Epoch: 60 [14080/50000 (28%)]	Loss: 2.586292
Train Epoch: 60 [15360/50000 (31%)]	Loss: 2.148622
Train Epoch: 60 [16640/50000 (33%)]	Loss: 2.287824
Train Epoch: 60 [17920/50000 (36%)]	Loss: 2.329374
Train Epoch: 60 [19200/50000 (38%)]	Loss: 2.353490
Train Epoch: 60 [20480/50000 (41%)]	Loss: 2.196956
Train Epoch: 60 [21760/50000 (43%)]	Loss: 2.161071
Train Epoch: 60 [23040/50000 (46%)]	Loss: 2.328993
Train Epoch: 60 [24320/50000 (49%)]	Loss: 2.415171
Train Epoch: 60 [25600/50000 (51%)]	Loss: 2.268626
Train Epoch: 60 [26880/50000 (54%)]	Loss: 2.198945
Train Epoch: 60 [28160/50000 (56%)]	Loss: 2.300002
Train Epoch: 60 [29440/50000 (59%)]	Loss: 2.238529
Train Epoch: 60 [30720/50000 (61%)]	Loss: 2.297307
Train Epoch: 60 [32000/50000 (64%)]	Loss: 2.331301
Train Epoch: 60 [33280/50000 (66%)]	Loss: 2.175531
Train Epoch: 60 [34560/50000 (69%)]	Loss: 2.253397
Train Epoch: 60 [35840/50000 (72%)]	Loss: 2.268317
Train Epoch: 60 [37120/50000 (74%)]	Loss: 2.451472
Train Epoch: 60 [38400/50000 (77%)]	Loss: 2.237626
Train Epoch: 60 [39680/50000 (79%)]	Loss: 2.448590
Train Epoch: 60 [40960/50000 (82%)]	Loss: 2.170099
Train Epoch: 60 [42240/50000 (84%)]	Loss: 2.319935
Train Epoch: 60 [43520/50000 (87%)]	Loss: 2.269802
Train Epoch: 60 [44800/50000 (90%)]	Loss: 2.374785
Train Epoch: 60 [46080/50000 (92%)]	Loss: 2.342774
Train Epoch: 60 [47360/50000 (95%)]	Loss: 2.392450
Train Epoch: 60 [48640/50000 (97%)]	Loss: 2.262709
Train Epoch: 60 [31200/50000 (100%)]	Loss: 2.317135
================================================================
Test: Average loss: 2.2192, Accuracy: 4987/10000 (50%)
================================================================
Train Epoch: 61 [0/50000 (0%)]	Loss: 2.290920
Train Epoch: 61 [1280/50000 (3%)]	Loss: 2.079264
Train Epoch: 61 [2560/50000 (5%)]	Loss: 2.055179
Train Epoch: 61 [3840/50000 (8%)]	Loss: 2.342339
Train Epoch: 61 [5120/50000 (10%)]	Loss: 2.065074
Train Epoch: 61 [6400/50000 (13%)]	Loss: 2.215436
Train Epoch: 61 [7680/50000 (15%)]	Loss: 2.241524
Train Epoch: 61 [8960/50000 (18%)]	Loss: 2.207460
Train Epoch: 61 [10240/50000 (20%)]	Loss: 2.192466
Train Epoch: 61 [11520/50000 (23%)]	Loss: 2.273649
Train Epoch: 61 [12800/50000 (26%)]	Loss: 2.243577
Train Epoch: 61 [14080/50000 (28%)]	Loss: 2.339754
Train Epoch: 61 [15360/50000 (31%)]	Loss: 2.258283
Train Epoch: 61 [16640/50000 (33%)]	Loss: 2.307743
Train Epoch: 61 [17920/50000 (36%)]	Loss: 2.193257
Train Epoch: 61 [19200/50000 (38%)]	Loss: 2.376760
Train Epoch: 61 [20480/50000 (41%)]	Loss: 2.219470
Train Epoch: 61 [21760/50000 (43%)]	Loss: 2.242821
Train Epoch: 61 [23040/50000 (46%)]	Loss: 2.226445
Train Epoch: 61 [24320/50000 (49%)]	Loss: 2.108408
Train Epoch: 61 [25600/50000 (51%)]	Loss: 2.195492
Train Epoch: 61 [26880/50000 (54%)]	Loss: 2.252877
Train Epoch: 61 [28160/50000 (56%)]	Loss: 2.282548
Train Epoch: 61 [29440/50000 (59%)]	Loss: 2.171820
Train Epoch: 61 [30720/50000 (61%)]	Loss: 2.294166
Train Epoch: 61 [32000/50000 (64%)]	Loss: 2.386806
Train Epoch: 61 [33280/50000 (66%)]	Loss: 2.224947
Train Epoch: 61 [34560/50000 (69%)]	Loss: 2.352481
Train Epoch: 61 [35840/50000 (72%)]	Loss: 2.366692
Train Epoch: 61 [37120/50000 (74%)]	Loss: 2.310968
Train Epoch: 61 [38400/50000 (77%)]	Loss: 2.307691
Train Epoch: 61 [39680/50000 (79%)]	Loss: 2.299993
Train Epoch: 61 [40960/50000 (82%)]	Loss: 2.309826
Train Epoch: 61 [42240/50000 (84%)]	Loss: 2.203578
Train Epoch: 61 [43520/50000 (87%)]	Loss: 2.412419
Train Epoch: 61 [44800/50000 (90%)]	Loss: 2.471212
Train Epoch: 61 [46080/50000 (92%)]	Loss: 2.332397
Train Epoch: 61 [47360/50000 (95%)]	Loss: 2.266223
Train Epoch: 61 [48640/50000 (97%)]	Loss: 2.318429
Train Epoch: 61 [31200/50000 (100%)]	Loss: 2.193550
================================================================
Test: Average loss: 2.2180, Accuracy: 5047/10000 (50%)
================================================================
Train Epoch: 62 [0/50000 (0%)]	Loss: 2.251014
Train Epoch: 62 [1280/50000 (3%)]	Loss: 2.207292
Train Epoch: 62 [2560/50000 (5%)]	Loss: 2.153065
Train Epoch: 62 [3840/50000 (8%)]	Loss: 2.290845
Train Epoch: 62 [5120/50000 (10%)]	Loss: 2.229592
Train Epoch: 62 [6400/50000 (13%)]	Loss: 2.209541
Train Epoch: 62 [7680/50000 (15%)]	Loss: 2.416927
Train Epoch: 62 [8960/50000 (18%)]	Loss: 2.341466
Train Epoch: 62 [10240/50000 (20%)]	Loss: 2.369772
Train Epoch: 62 [11520/50000 (23%)]	Loss: 2.018028
Train Epoch: 62 [12800/50000 (26%)]	Loss: 2.082205
Train Epoch: 62 [14080/50000 (28%)]	Loss: 2.399467
Train Epoch: 62 [15360/50000 (31%)]	Loss: 2.410332
Train Epoch: 62 [16640/50000 (33%)]	Loss: 2.204195
Train Epoch: 62 [17920/50000 (36%)]	Loss: 2.258968
Train Epoch: 62 [19200/50000 (38%)]	Loss: 2.333189
Train Epoch: 62 [20480/50000 (41%)]	Loss: 2.149600
Train Epoch: 62 [21760/50000 (43%)]	Loss: 2.291246
Train Epoch: 62 [23040/50000 (46%)]	Loss: 2.352874
Train Epoch: 62 [24320/50000 (49%)]	Loss: 2.279063
Train Epoch: 62 [25600/50000 (51%)]	Loss: 2.121974
Train Epoch: 62 [26880/50000 (54%)]	Loss: 2.284603
Train Epoch: 62 [28160/50000 (56%)]	Loss: 2.254969
Train Epoch: 62 [29440/50000 (59%)]	Loss: 2.327543
Train Epoch: 62 [30720/50000 (61%)]	Loss: 2.167071
Train Epoch: 62 [32000/50000 (64%)]	Loss: 2.510550
Train Epoch: 62 [33280/50000 (66%)]	Loss: 2.166985
Train Epoch: 62 [34560/50000 (69%)]	Loss: 2.251300
Train Epoch: 62 [35840/50000 (72%)]	Loss: 2.159441
Train Epoch: 62 [37120/50000 (74%)]	Loss: 2.207262
Train Epoch: 62 [38400/50000 (77%)]	Loss: 2.180692
Train Epoch: 62 [39680/50000 (79%)]	Loss: 2.252113
Train Epoch: 62 [40960/50000 (82%)]	Loss: 2.461315
Train Epoch: 62 [42240/50000 (84%)]	Loss: 2.361503
Train Epoch: 62 [43520/50000 (87%)]	Loss: 2.225750
Train Epoch: 62 [44800/50000 (90%)]	Loss: 2.532163
Train Epoch: 62 [46080/50000 (92%)]	Loss: 2.392626
Train Epoch: 62 [47360/50000 (95%)]	Loss: 2.282309
Train Epoch: 62 [48640/50000 (97%)]	Loss: 2.361855
Train Epoch: 62 [31200/50000 (100%)]	Loss: 2.266471
================================================================
Test: Average loss: 2.2058, Accuracy: 5027/10000 (50%)
================================================================
Train Epoch: 63 [0/50000 (0%)]	Loss: 2.304976
Train Epoch: 63 [1280/50000 (3%)]	Loss: 2.229267
Train Epoch: 63 [2560/50000 (5%)]	Loss: 2.170738
Train Epoch: 63 [3840/50000 (8%)]	Loss: 2.231476
Train Epoch: 63 [5120/50000 (10%)]	Loss: 2.263907
Train Epoch: 63 [6400/50000 (13%)]	Loss: 2.287827
Train Epoch: 63 [7680/50000 (15%)]	Loss: 2.158563
Train Epoch: 63 [8960/50000 (18%)]	Loss: 2.216653
Train Epoch: 63 [10240/50000 (20%)]	Loss: 2.279749
Train Epoch: 63 [11520/50000 (23%)]	Loss: 2.120543
Train Epoch: 63 [12800/50000 (26%)]	Loss: 2.288669
Train Epoch: 63 [14080/50000 (28%)]	Loss: 2.404333
Train Epoch: 63 [15360/50000 (31%)]	Loss: 2.128514
Train Epoch: 63 [16640/50000 (33%)]	Loss: 2.344755
Train Epoch: 63 [17920/50000 (36%)]	Loss: 2.510235
Train Epoch: 63 [19200/50000 (38%)]	Loss: 2.316807
Train Epoch: 63 [20480/50000 (41%)]	Loss: 2.243414
Train Epoch: 63 [21760/50000 (43%)]	Loss: 2.248322
Train Epoch: 63 [23040/50000 (46%)]	Loss: 2.241264
Train Epoch: 63 [24320/50000 (49%)]	Loss: 2.180966
Train Epoch: 63 [25600/50000 (51%)]	Loss: 2.378980
Train Epoch: 63 [26880/50000 (54%)]	Loss: 2.187644
Train Epoch: 63 [28160/50000 (56%)]	Loss: 2.236442
Train Epoch: 63 [29440/50000 (59%)]	Loss: 2.285291
Train Epoch: 63 [30720/50000 (61%)]	Loss: 2.485954
Train Epoch: 63 [32000/50000 (64%)]	Loss: 2.369203
Train Epoch: 63 [33280/50000 (66%)]	Loss: 2.397871
Train Epoch: 63 [34560/50000 (69%)]	Loss: 2.342427
Train Epoch: 63 [35840/50000 (72%)]	Loss: 2.303117
Train Epoch: 63 [37120/50000 (74%)]	Loss: 2.388338
Train Epoch: 63 [38400/50000 (77%)]	Loss: 2.252474
Train Epoch: 63 [39680/50000 (79%)]	Loss: 2.433169
Train Epoch: 63 [40960/50000 (82%)]	Loss: 2.081764
Train Epoch: 63 [42240/50000 (84%)]	Loss: 2.440796
Train Epoch: 63 [43520/50000 (87%)]	Loss: 2.324645
Train Epoch: 63 [44800/50000 (90%)]	Loss: 2.187818
Train Epoch: 63 [46080/50000 (92%)]	Loss: 2.333850
Train Epoch: 63 [47360/50000 (95%)]	Loss: 2.218065
Train Epoch: 63 [48640/50000 (97%)]	Loss: 2.234199
Train Epoch: 63 [31200/50000 (100%)]	Loss: 2.623673
================================================================
Test: Average loss: 2.2219, Accuracy: 4947/10000 (49%)
================================================================
Train Epoch: 64 [0/50000 (0%)]	Loss: 2.285765
Train Epoch: 64 [1280/50000 (3%)]	Loss: 2.204067
Train Epoch: 64 [2560/50000 (5%)]	Loss: 2.323047
Train Epoch: 64 [3840/50000 (8%)]	Loss: 2.273817
Train Epoch: 64 [5120/50000 (10%)]	Loss: 2.184416
Train Epoch: 64 [6400/50000 (13%)]	Loss: 2.161132
Train Epoch: 64 [7680/50000 (15%)]	Loss: 2.242751
Train Epoch: 64 [8960/50000 (18%)]	Loss: 2.349297
Train Epoch: 64 [10240/50000 (20%)]	Loss: 2.212643
Train Epoch: 64 [11520/50000 (23%)]	Loss: 2.254009
Train Epoch: 64 [12800/50000 (26%)]	Loss: 2.228237
Train Epoch: 64 [14080/50000 (28%)]	Loss: 2.269416
Train Epoch: 64 [15360/50000 (31%)]	Loss: 2.227994
Train Epoch: 64 [16640/50000 (33%)]	Loss: 2.333151
Train Epoch: 64 [17920/50000 (36%)]	Loss: 2.418868
Train Epoch: 64 [19200/50000 (38%)]	Loss: 2.423297
Train Epoch: 64 [20480/50000 (41%)]	Loss: 2.127841
Train Epoch: 64 [21760/50000 (43%)]	Loss: 2.253248
Train Epoch: 64 [23040/50000 (46%)]	Loss: 2.100574
Train Epoch: 64 [24320/50000 (49%)]	Loss: 2.388205
Train Epoch: 64 [25600/50000 (51%)]	Loss: 2.431372
Train Epoch: 64 [26880/50000 (54%)]	Loss: 2.300066
Train Epoch: 64 [28160/50000 (56%)]	Loss: 2.248326
Train Epoch: 64 [29440/50000 (59%)]	Loss: 2.370428
Train Epoch: 64 [30720/50000 (61%)]	Loss: 2.306796
Train Epoch: 64 [32000/50000 (64%)]	Loss: 2.333096
Train Epoch: 64 [33280/50000 (66%)]	Loss: 2.204544
Train Epoch: 64 [34560/50000 (69%)]	Loss: 2.432321
Train Epoch: 64 [35840/50000 (72%)]	Loss: 2.389360
Train Epoch: 64 [37120/50000 (74%)]	Loss: 2.232064
Train Epoch: 64 [38400/50000 (77%)]	Loss: 2.334726
Train Epoch: 64 [39680/50000 (79%)]	Loss: 2.371665
Train Epoch: 64 [40960/50000 (82%)]	Loss: 2.293122
Train Epoch: 64 [42240/50000 (84%)]	Loss: 2.294613
Train Epoch: 64 [43520/50000 (87%)]	Loss: 2.481572
Train Epoch: 64 [44800/50000 (90%)]	Loss: 2.288036
Train Epoch: 64 [46080/50000 (92%)]	Loss: 2.235342
Train Epoch: 64 [47360/50000 (95%)]	Loss: 2.468592
Train Epoch: 64 [48640/50000 (97%)]	Loss: 2.375172
Train Epoch: 64 [31200/50000 (100%)]	Loss: 2.439072
================================================================
Test: Average loss: 2.2006, Accuracy: 5059/10000 (51%)
================================================================
Train Epoch: 65 [0/50000 (0%)]	Loss: 2.154469
Train Epoch: 65 [1280/50000 (3%)]	Loss: 1.912285
Train Epoch: 65 [2560/50000 (5%)]	Loss: 2.160125
Train Epoch: 65 [3840/50000 (8%)]	Loss: 2.222818
Train Epoch: 65 [5120/50000 (10%)]	Loss: 2.056632
Train Epoch: 65 [6400/50000 (13%)]	Loss: 2.172218
Train Epoch: 65 [7680/50000 (15%)]	Loss: 2.248790
Train Epoch: 65 [8960/50000 (18%)]	Loss: 2.209506
Train Epoch: 65 [10240/50000 (20%)]	Loss: 2.209352
Train Epoch: 65 [11520/50000 (23%)]	Loss: 2.228424
Train Epoch: 65 [12800/50000 (26%)]	Loss: 2.136398
Train Epoch: 65 [14080/50000 (28%)]	Loss: 2.244983
Train Epoch: 65 [15360/50000 (31%)]	Loss: 2.446387
Train Epoch: 65 [16640/50000 (33%)]	Loss: 2.282223
Train Epoch: 65 [17920/50000 (36%)]	Loss: 2.377233
Train Epoch: 65 [19200/50000 (38%)]	Loss: 2.382380
Train Epoch: 65 [20480/50000 (41%)]	Loss: 2.266439
Train Epoch: 65 [21760/50000 (43%)]	Loss: 2.243710
Train Epoch: 65 [23040/50000 (46%)]	Loss: 2.369633
Train Epoch: 65 [24320/50000 (49%)]	Loss: 2.156080
Train Epoch: 65 [25600/50000 (51%)]	Loss: 2.372200
Train Epoch: 65 [26880/50000 (54%)]	Loss: 2.484723
Train Epoch: 65 [28160/50000 (56%)]	Loss: 2.237512
Train Epoch: 65 [29440/50000 (59%)]	Loss: 2.245583
Train Epoch: 65 [30720/50000 (61%)]	Loss: 2.171291
Train Epoch: 65 [32000/50000 (64%)]	Loss: 2.331394
Train Epoch: 65 [33280/50000 (66%)]	Loss: 2.326855
Train Epoch: 65 [34560/50000 (69%)]	Loss: 2.155168
Train Epoch: 65 [35840/50000 (72%)]	Loss: 2.532950
Train Epoch: 65 [37120/50000 (74%)]	Loss: 2.293683
Train Epoch: 65 [38400/50000 (77%)]	Loss: 2.300851
Train Epoch: 65 [39680/50000 (79%)]	Loss: 2.204418
Train Epoch: 65 [40960/50000 (82%)]	Loss: 2.327562
Train Epoch: 65 [42240/50000 (84%)]	Loss: 2.132489
Train Epoch: 65 [43520/50000 (87%)]	Loss: 2.415714
Train Epoch: 65 [44800/50000 (90%)]	Loss: 2.270473
Train Epoch: 65 [46080/50000 (92%)]	Loss: 2.551437
Train Epoch: 65 [47360/50000 (95%)]	Loss: 2.425144
Train Epoch: 65 [48640/50000 (97%)]	Loss: 2.252151
Train Epoch: 65 [31200/50000 (100%)]	Loss: 2.435205
================================================================
Test: Average loss: 2.2060, Accuracy: 4948/10000 (49%)
================================================================
Train Epoch: 66 [0/50000 (0%)]	Loss: 2.210185
Train Epoch: 66 [1280/50000 (3%)]	Loss: 2.190410
Train Epoch: 66 [2560/50000 (5%)]	Loss: 2.156148
Train Epoch: 66 [3840/50000 (8%)]	Loss: 2.218699
Train Epoch: 66 [5120/50000 (10%)]	Loss: 2.175206
Train Epoch: 66 [6400/50000 (13%)]	Loss: 2.310236
Train Epoch: 66 [7680/50000 (15%)]	Loss: 2.218187
Train Epoch: 66 [8960/50000 (18%)]	Loss: 2.251518
Train Epoch: 66 [10240/50000 (20%)]	Loss: 2.108067
Train Epoch: 66 [11520/50000 (23%)]	Loss: 2.250032
Train Epoch: 66 [12800/50000 (26%)]	Loss: 2.191167
Train Epoch: 66 [14080/50000 (28%)]	Loss: 2.103282
Train Epoch: 66 [15360/50000 (31%)]	Loss: 2.200420
Train Epoch: 66 [16640/50000 (33%)]	Loss: 2.189283
Train Epoch: 66 [17920/50000 (36%)]	Loss: 2.421472
Train Epoch: 66 [19200/50000 (38%)]	Loss: 2.281854
Train Epoch: 66 [20480/50000 (41%)]	Loss: 2.245265
Train Epoch: 66 [21760/50000 (43%)]	Loss: 2.386924
Train Epoch: 66 [23040/50000 (46%)]	Loss: 2.148448
Train Epoch: 66 [24320/50000 (49%)]	Loss: 2.273712
Train Epoch: 66 [25600/50000 (51%)]	Loss: 2.370981
Train Epoch: 66 [26880/50000 (54%)]	Loss: 2.303341
Train Epoch: 66 [28160/50000 (56%)]	Loss: 2.308731
Train Epoch: 66 [29440/50000 (59%)]	Loss: 2.363528
Train Epoch: 66 [30720/50000 (61%)]	Loss: 2.152458
Train Epoch: 66 [32000/50000 (64%)]	Loss: 2.361392
Train Epoch: 66 [33280/50000 (66%)]	Loss: 2.357040
Train Epoch: 66 [34560/50000 (69%)]	Loss: 2.314938
Train Epoch: 66 [35840/50000 (72%)]	Loss: 2.294540
Train Epoch: 66 [37120/50000 (74%)]	Loss: 2.276882
Train Epoch: 66 [38400/50000 (77%)]	Loss: 2.359944
Train Epoch: 66 [39680/50000 (79%)]	Loss: 2.237307
Train Epoch: 66 [40960/50000 (82%)]	Loss: 2.155469
Train Epoch: 66 [42240/50000 (84%)]	Loss: 2.321552
Train Epoch: 66 [43520/50000 (87%)]	Loss: 2.366021
Train Epoch: 66 [44800/50000 (90%)]	Loss: 2.244442
Train Epoch: 66 [46080/50000 (92%)]	Loss: 2.227808
Train Epoch: 66 [47360/50000 (95%)]	Loss: 2.231874
Train Epoch: 66 [48640/50000 (97%)]	Loss: 2.269544
Train Epoch: 66 [31200/50000 (100%)]	Loss: 2.422864
================================================================
Test: Average loss: 2.2216, Accuracy: 4979/10000 (50%)
================================================================
Train Epoch: 67 [0/50000 (0%)]	Loss: 2.083545
Train Epoch: 67 [1280/50000 (3%)]	Loss: 2.092800
Train Epoch: 67 [2560/50000 (5%)]	Loss: 2.203116
Train Epoch: 67 [3840/50000 (8%)]	Loss: 2.106635
Train Epoch: 67 [5120/50000 (10%)]	Loss: 2.137957
Train Epoch: 67 [6400/50000 (13%)]	Loss: 2.287740
Train Epoch: 67 [7680/50000 (15%)]	Loss: 2.131153
Train Epoch: 67 [8960/50000 (18%)]	Loss: 2.136449
Train Epoch: 67 [10240/50000 (20%)]	Loss: 2.356192
Train Epoch: 67 [11520/50000 (23%)]	Loss: 2.292871
Train Epoch: 67 [12800/50000 (26%)]	Loss: 2.270028
Train Epoch: 67 [14080/50000 (28%)]	Loss: 2.274791
Train Epoch: 67 [15360/50000 (31%)]	Loss: 2.248409
Train Epoch: 67 [16640/50000 (33%)]	Loss: 2.244159
Train Epoch: 67 [17920/50000 (36%)]	Loss: 2.450490
Train Epoch: 67 [19200/50000 (38%)]	Loss: 2.310827
Train Epoch: 67 [20480/50000 (41%)]	Loss: 2.147892
Train Epoch: 67 [21760/50000 (43%)]	Loss: 2.341054
Train Epoch: 67 [23040/50000 (46%)]	Loss: 2.480932
Train Epoch: 67 [24320/50000 (49%)]	Loss: 2.258912
Train Epoch: 67 [25600/50000 (51%)]	Loss: 2.270511
Train Epoch: 67 [26880/50000 (54%)]	Loss: 2.190876
Train Epoch: 67 [28160/50000 (56%)]	Loss: 2.481803
Train Epoch: 67 [29440/50000 (59%)]	Loss: 2.367548
Train Epoch: 67 [30720/50000 (61%)]	Loss: 2.225893
Train Epoch: 67 [32000/50000 (64%)]	Loss: 2.395184
Train Epoch: 67 [33280/50000 (66%)]	Loss: 2.490201
Train Epoch: 67 [34560/50000 (69%)]	Loss: 2.326249
Train Epoch: 67 [35840/50000 (72%)]	Loss: 2.202447
Train Epoch: 67 [37120/50000 (74%)]	Loss: 2.200625
Train Epoch: 67 [38400/50000 (77%)]	Loss: 2.226136
Train Epoch: 67 [39680/50000 (79%)]	Loss: 2.305794
Train Epoch: 67 [40960/50000 (82%)]	Loss: 2.227265
Train Epoch: 67 [42240/50000 (84%)]	Loss: 2.404667
Train Epoch: 67 [43520/50000 (87%)]	Loss: 2.310409
Train Epoch: 67 [44800/50000 (90%)]	Loss: 2.406278
Train Epoch: 67 [46080/50000 (92%)]	Loss: 2.295694
Train Epoch: 67 [47360/50000 (95%)]	Loss: 2.454998
Train Epoch: 67 [48640/50000 (97%)]	Loss: 2.381183
Train Epoch: 67 [31200/50000 (100%)]	Loss: 2.365296
================================================================
Test: Average loss: 2.2342, Accuracy: 4906/10000 (49%)
================================================================
Train Epoch: 68 [0/50000 (0%)]	Loss: 2.158053
Train Epoch: 68 [1280/50000 (3%)]	Loss: 2.317348
Train Epoch: 68 [2560/50000 (5%)]	Loss: 2.176512
Train Epoch: 68 [3840/50000 (8%)]	Loss: 2.174578
Train Epoch: 68 [5120/50000 (10%)]	Loss: 2.181145
Train Epoch: 68 [6400/50000 (13%)]	Loss: 2.198160
Train Epoch: 68 [7680/50000 (15%)]	Loss: 2.186952
Train Epoch: 68 [8960/50000 (18%)]	Loss: 2.254842
Train Epoch: 68 [10240/50000 (20%)]	Loss: 2.026831
Train Epoch: 68 [11520/50000 (23%)]	Loss: 2.031383
Train Epoch: 68 [12800/50000 (26%)]	Loss: 2.297537
Train Epoch: 68 [14080/50000 (28%)]	Loss: 2.215611
Train Epoch: 68 [15360/50000 (31%)]	Loss: 2.124122
Train Epoch: 68 [16640/50000 (33%)]	Loss: 2.252800
Train Epoch: 68 [17920/50000 (36%)]	Loss: 2.289814
Train Epoch: 68 [19200/50000 (38%)]	Loss: 2.285355
Train Epoch: 68 [20480/50000 (41%)]	Loss: 2.300082
Train Epoch: 68 [21760/50000 (43%)]	Loss: 2.244112
Train Epoch: 68 [23040/50000 (46%)]	Loss: 2.182787
Train Epoch: 68 [24320/50000 (49%)]	Loss: 2.153561
Train Epoch: 68 [25600/50000 (51%)]	Loss: 2.201532
Train Epoch: 68 [26880/50000 (54%)]	Loss: 2.239786
Train Epoch: 68 [28160/50000 (56%)]	Loss: 2.216136
Train Epoch: 68 [29440/50000 (59%)]	Loss: 2.270891
Train Epoch: 68 [30720/50000 (61%)]	Loss: 2.338786
Train Epoch: 68 [32000/50000 (64%)]	Loss: 2.442103
Train Epoch: 68 [33280/50000 (66%)]	Loss: 2.202749
Train Epoch: 68 [34560/50000 (69%)]	Loss: 2.179672
Train Epoch: 68 [35840/50000 (72%)]	Loss: 2.277484
Train Epoch: 68 [37120/50000 (74%)]	Loss: 2.340379
Train Epoch: 68 [38400/50000 (77%)]	Loss: 2.203860
Train Epoch: 68 [39680/50000 (79%)]	Loss: 2.185713
Train Epoch: 68 [40960/50000 (82%)]	Loss: 2.153859
Train Epoch: 68 [42240/50000 (84%)]	Loss: 2.405522
Train Epoch: 68 [43520/50000 (87%)]	Loss: 2.284546
Train Epoch: 68 [44800/50000 (90%)]	Loss: 2.359533
Train Epoch: 68 [46080/50000 (92%)]	Loss: 2.379543
Train Epoch: 68 [47360/50000 (95%)]	Loss: 2.282429
Train Epoch: 68 [48640/50000 (97%)]	Loss: 2.370750
Train Epoch: 68 [31200/50000 (100%)]	Loss: 2.204384
================================================================
Test: Average loss: 2.2331, Accuracy: 4969/10000 (50%)
================================================================
Train Epoch: 69 [0/50000 (0%)]	Loss: 2.253120
Train Epoch: 69 [1280/50000 (3%)]	Loss: 2.410437
Train Epoch: 69 [2560/50000 (5%)]	Loss: 2.068919
Train Epoch: 69 [3840/50000 (8%)]	Loss: 2.169061
Train Epoch: 69 [5120/50000 (10%)]	Loss: 2.299180
Train Epoch: 69 [6400/50000 (13%)]	Loss: 2.155901
Train Epoch: 69 [7680/50000 (15%)]	Loss: 2.282828
Train Epoch: 69 [8960/50000 (18%)]	Loss: 2.263509
Train Epoch: 69 [10240/50000 (20%)]	Loss: 2.186534
Train Epoch: 69 [11520/50000 (23%)]	Loss: 2.406313
Train Epoch: 69 [12800/50000 (26%)]	Loss: 2.147607
Train Epoch: 69 [14080/50000 (28%)]	Loss: 2.194646
Train Epoch: 69 [15360/50000 (31%)]	Loss: 2.088550
Train Epoch: 69 [16640/50000 (33%)]	Loss: 2.152013
Train Epoch: 69 [17920/50000 (36%)]	Loss: 2.181585
Train Epoch: 69 [19200/50000 (38%)]	Loss: 2.115791
Train Epoch: 69 [20480/50000 (41%)]	Loss: 2.311122
Train Epoch: 69 [21760/50000 (43%)]	Loss: 2.186261
Train Epoch: 69 [23040/50000 (46%)]	Loss: 2.291628
Train Epoch: 69 [24320/50000 (49%)]	Loss: 2.398432
Train Epoch: 69 [25600/50000 (51%)]	Loss: 2.374070
Train Epoch: 69 [26880/50000 (54%)]	Loss: 2.463372
Train Epoch: 69 [28160/50000 (56%)]	Loss: 2.357533
Train Epoch: 69 [29440/50000 (59%)]	Loss: 2.375010
Train Epoch: 69 [30720/50000 (61%)]	Loss: 2.244248
Train Epoch: 69 [32000/50000 (64%)]	Loss: 2.347290
Train Epoch: 69 [33280/50000 (66%)]	Loss: 2.500837
Train Epoch: 69 [34560/50000 (69%)]	Loss: 2.345817
Train Epoch: 69 [35840/50000 (72%)]	Loss: 2.254875
Train Epoch: 69 [37120/50000 (74%)]	Loss: 2.337532
Train Epoch: 69 [38400/50000 (77%)]	Loss: 2.481215
Train Epoch: 69 [39680/50000 (79%)]	Loss: 2.196850
Train Epoch: 69 [40960/50000 (82%)]	Loss: 2.381976
Train Epoch: 69 [42240/50000 (84%)]	Loss: 2.234896
Train Epoch: 69 [43520/50000 (87%)]	Loss: 2.240604
Train Epoch: 69 [44800/50000 (90%)]	Loss: 2.268679
Train Epoch: 69 [46080/50000 (92%)]	Loss: 2.325247
Train Epoch: 69 [47360/50000 (95%)]	Loss: 2.215897
Train Epoch: 69 [48640/50000 (97%)]	Loss: 2.203826
Train Epoch: 69 [31200/50000 (100%)]	Loss: 2.457883
================================================================
Test: Average loss: 2.2354, Accuracy: 4905/10000 (49%)
================================================================
Train Epoch: 70 [0/50000 (0%)]	Loss: 2.183094
Train Epoch: 70 [1280/50000 (3%)]	Loss: 2.077619
Train Epoch: 70 [2560/50000 (5%)]	Loss: 2.127560
Train Epoch: 70 [3840/50000 (8%)]	Loss: 2.133646
Train Epoch: 70 [5120/50000 (10%)]	Loss: 2.254012
Train Epoch: 70 [6400/50000 (13%)]	Loss: 2.130372
Train Epoch: 70 [7680/50000 (15%)]	Loss: 2.075156
Train Epoch: 70 [8960/50000 (18%)]	Loss: 2.242177
Train Epoch: 70 [10240/50000 (20%)]	Loss: 2.223959
Train Epoch: 70 [11520/50000 (23%)]	Loss: 2.062557
Train Epoch: 70 [12800/50000 (26%)]	Loss: 2.358890
Train Epoch: 70 [14080/50000 (28%)]	Loss: 2.250778
Train Epoch: 70 [15360/50000 (31%)]	Loss: 2.156287
Train Epoch: 70 [16640/50000 (33%)]	Loss: 2.281980
Train Epoch: 70 [17920/50000 (36%)]	Loss: 2.291059
Train Epoch: 70 [19200/50000 (38%)]	Loss: 2.366914
Train Epoch: 70 [20480/50000 (41%)]	Loss: 2.256105
Train Epoch: 70 [21760/50000 (43%)]	Loss: 2.453654
Train Epoch: 70 [23040/50000 (46%)]	Loss: 2.402632
Train Epoch: 70 [24320/50000 (49%)]	Loss: 2.312589
Train Epoch: 70 [25600/50000 (51%)]	Loss: 2.375672
Train Epoch: 70 [26880/50000 (54%)]	Loss: 2.316525
Train Epoch: 70 [28160/50000 (56%)]	Loss: 2.272695
Train Epoch: 70 [29440/50000 (59%)]	Loss: 2.345914
Train Epoch: 70 [30720/50000 (61%)]	Loss: 2.281678
Train Epoch: 70 [32000/50000 (64%)]	Loss: 2.439742
Train Epoch: 70 [33280/50000 (66%)]	Loss: 2.268714
Train Epoch: 70 [34560/50000 (69%)]	Loss: 2.365762
Train Epoch: 70 [35840/50000 (72%)]	Loss: 2.270117
Train Epoch: 70 [37120/50000 (74%)]	Loss: 2.444289
Train Epoch: 70 [38400/50000 (77%)]	Loss: 2.074223
Train Epoch: 70 [39680/50000 (79%)]	Loss: 2.244005
Train Epoch: 70 [40960/50000 (82%)]	Loss: 2.308160
Train Epoch: 70 [42240/50000 (84%)]	Loss: 2.345479
Train Epoch: 70 [43520/50000 (87%)]	Loss: 2.388735
Train Epoch: 70 [44800/50000 (90%)]	Loss: 2.356749
Train Epoch: 70 [46080/50000 (92%)]	Loss: 2.365788
Train Epoch: 70 [47360/50000 (95%)]	Loss: 2.368167
Train Epoch: 70 [48640/50000 (97%)]	Loss: 2.277455
Train Epoch: 70 [31200/50000 (100%)]	Loss: 2.172865
================================================================
Test: Average loss: 2.2466, Accuracy: 4882/10000 (49%)
================================================================
Train Epoch: 71 [0/50000 (0%)]	Loss: 2.104304
Train Epoch: 71 [1280/50000 (3%)]	Loss: 2.278016
Train Epoch: 71 [2560/50000 (5%)]	Loss: 2.100699
Train Epoch: 71 [3840/50000 (8%)]	Loss: 2.120650
Train Epoch: 71 [5120/50000 (10%)]	Loss: 2.119835
Train Epoch: 71 [6400/50000 (13%)]	Loss: 2.268857
Train Epoch: 71 [7680/50000 (15%)]	Loss: 2.178058
Train Epoch: 71 [8960/50000 (18%)]	Loss: 2.292688
Train Epoch: 71 [10240/50000 (20%)]	Loss: 2.285267
Train Epoch: 71 [11520/50000 (23%)]	Loss: 2.338671
Train Epoch: 71 [12800/50000 (26%)]	Loss: 2.175010
Train Epoch: 71 [14080/50000 (28%)]	Loss: 2.258963
Train Epoch: 71 [15360/50000 (31%)]	Loss: 2.246856
Train Epoch: 71 [16640/50000 (33%)]	Loss: 2.308922
Train Epoch: 71 [17920/50000 (36%)]	Loss: 2.328216
Train Epoch: 71 [19200/50000 (38%)]	Loss: 2.263109
Train Epoch: 71 [20480/50000 (41%)]	Loss: 2.116246
Train Epoch: 71 [21760/50000 (43%)]	Loss: 2.406151
Train Epoch: 71 [23040/50000 (46%)]	Loss: 2.470965
Train Epoch: 71 [24320/50000 (49%)]	Loss: 2.448016
Train Epoch: 71 [25600/50000 (51%)]	Loss: 2.240442
Train Epoch: 71 [26880/50000 (54%)]	Loss: 2.351236
Train Epoch: 71 [28160/50000 (56%)]	Loss: 2.131398
Train Epoch: 71 [29440/50000 (59%)]	Loss: 2.239995
Train Epoch: 71 [30720/50000 (61%)]	Loss: 2.223374
Train Epoch: 71 [32000/50000 (64%)]	Loss: 2.257468
Train Epoch: 71 [33280/50000 (66%)]	Loss: 2.298438
Train Epoch: 71 [34560/50000 (69%)]	Loss: 2.307184
Train Epoch: 71 [35840/50000 (72%)]	Loss: 2.121133
Train Epoch: 71 [37120/50000 (74%)]	Loss: 2.355046
Train Epoch: 71 [38400/50000 (77%)]	Loss: 2.295233
Train Epoch: 71 [39680/50000 (79%)]	Loss: 2.513934
Train Epoch: 71 [40960/50000 (82%)]	Loss: 2.247137
Train Epoch: 71 [42240/50000 (84%)]	Loss: 2.246951
Train Epoch: 71 [43520/50000 (87%)]	Loss: 2.170474
Train Epoch: 71 [44800/50000 (90%)]	Loss: 2.321916
Train Epoch: 71 [46080/50000 (92%)]	Loss: 2.411799
Train Epoch: 71 [47360/50000 (95%)]	Loss: 2.383209
Train Epoch: 71 [48640/50000 (97%)]	Loss: 2.261252
Train Epoch: 71 [31200/50000 (100%)]	Loss: 2.296887
================================================================
Test: Average loss: 2.1738, Accuracy: 5056/10000 (51%)
================================================================
Train Epoch: 72 [0/50000 (0%)]	Loss: 2.148068
Train Epoch: 72 [1280/50000 (3%)]	Loss: 2.087226
Train Epoch: 72 [2560/50000 (5%)]	Loss: 2.213472
Train Epoch: 72 [3840/50000 (8%)]	Loss: 2.074826
Train Epoch: 72 [5120/50000 (10%)]	Loss: 2.159948
Train Epoch: 72 [6400/50000 (13%)]	Loss: 2.369054
Train Epoch: 72 [7680/50000 (15%)]	Loss: 2.183343
Train Epoch: 72 [8960/50000 (18%)]	Loss: 2.169020
Train Epoch: 72 [10240/50000 (20%)]	Loss: 2.117488
Train Epoch: 72 [11520/50000 (23%)]	Loss: 2.250261
Train Epoch: 72 [12800/50000 (26%)]	Loss: 2.187659
Train Epoch: 72 [14080/50000 (28%)]	Loss: 2.198976
Train Epoch: 72 [15360/50000 (31%)]	Loss: 2.235522
Train Epoch: 72 [16640/50000 (33%)]	Loss: 2.164128
Train Epoch: 72 [17920/50000 (36%)]	Loss: 2.341256
Train Epoch: 72 [19200/50000 (38%)]	Loss: 2.264126
Train Epoch: 72 [20480/50000 (41%)]	Loss: 2.334170
Train Epoch: 72 [21760/50000 (43%)]	Loss: 2.431064
Train Epoch: 72 [23040/50000 (46%)]	Loss: 2.130234
Train Epoch: 72 [24320/50000 (49%)]	Loss: 2.322863
Train Epoch: 72 [25600/50000 (51%)]	Loss: 2.300819
Train Epoch: 72 [26880/50000 (54%)]	Loss: 2.362933
Train Epoch: 72 [28160/50000 (56%)]	Loss: 2.457768
Train Epoch: 72 [29440/50000 (59%)]	Loss: 2.334436
Train Epoch: 72 [30720/50000 (61%)]	Loss: 2.372865
Train Epoch: 72 [32000/50000 (64%)]	Loss: 2.341346
Train Epoch: 72 [33280/50000 (66%)]	Loss: 2.364875
Train Epoch: 72 [34560/50000 (69%)]	Loss: 2.157778
Train Epoch: 72 [35840/50000 (72%)]	Loss: 2.152652
Train Epoch: 72 [37120/50000 (74%)]	Loss: 2.138552
Train Epoch: 72 [38400/50000 (77%)]	Loss: 2.295090
Train Epoch: 72 [39680/50000 (79%)]	Loss: 2.125170
Train Epoch: 72 [40960/50000 (82%)]	Loss: 2.176781
Train Epoch: 72 [42240/50000 (84%)]	Loss: 2.329669
Train Epoch: 72 [43520/50000 (87%)]	Loss: 2.329755
Train Epoch: 72 [44800/50000 (90%)]	Loss: 2.446798
Train Epoch: 72 [46080/50000 (92%)]	Loss: 2.578586
Train Epoch: 72 [47360/50000 (95%)]	Loss: 2.279314
Train Epoch: 72 [48640/50000 (97%)]	Loss: 2.331441
Train Epoch: 72 [31200/50000 (100%)]	Loss: 2.352280
================================================================
Test: Average loss: 2.2208, Accuracy: 4978/10000 (50%)
================================================================
Train Epoch: 73 [0/50000 (0%)]	Loss: 2.287395
Train Epoch: 73 [1280/50000 (3%)]	Loss: 1.986550
Train Epoch: 73 [2560/50000 (5%)]	Loss: 2.157509
Train Epoch: 73 [3840/50000 (8%)]	Loss: 2.297178
Train Epoch: 73 [5120/50000 (10%)]	Loss: 2.124038
Train Epoch: 73 [6400/50000 (13%)]	Loss: 2.256324
Train Epoch: 73 [7680/50000 (15%)]	Loss: 2.103203
Train Epoch: 73 [8960/50000 (18%)]	Loss: 2.056788
Train Epoch: 73 [10240/50000 (20%)]	Loss: 2.154985
Train Epoch: 73 [11520/50000 (23%)]	Loss: 2.141959
Train Epoch: 73 [12800/50000 (26%)]	Loss: 1.934942
Train Epoch: 73 [14080/50000 (28%)]	Loss: 2.188321
Train Epoch: 73 [15360/50000 (31%)]	Loss: 2.069396
Train Epoch: 73 [16640/50000 (33%)]	Loss: 2.138185
Train Epoch: 73 [17920/50000 (36%)]	Loss: 2.223642
Train Epoch: 73 [19200/50000 (38%)]	Loss: 2.080691
Train Epoch: 73 [20480/50000 (41%)]	Loss: 2.212884
Train Epoch: 73 [21760/50000 (43%)]	Loss: 2.227308
Train Epoch: 73 [23040/50000 (46%)]	Loss: 2.205313
Train Epoch: 73 [24320/50000 (49%)]	Loss: 2.274141
Train Epoch: 73 [25600/50000 (51%)]	Loss: 2.349627
Train Epoch: 73 [26880/50000 (54%)]	Loss: 2.446604
Train Epoch: 73 [28160/50000 (56%)]	Loss: 2.150065
Train Epoch: 73 [29440/50000 (59%)]	Loss: 2.347142
Train Epoch: 73 [30720/50000 (61%)]	Loss: 2.289053
Train Epoch: 73 [32000/50000 (64%)]	Loss: 2.441329
Train Epoch: 73 [33280/50000 (66%)]	Loss: 2.348352
Train Epoch: 73 [34560/50000 (69%)]	Loss: 2.284114
Train Epoch: 73 [35840/50000 (72%)]	Loss: 2.463927
Train Epoch: 73 [37120/50000 (74%)]	Loss: 2.400040
Train Epoch: 73 [38400/50000 (77%)]	Loss: 2.183565
Train Epoch: 73 [39680/50000 (79%)]	Loss: 2.224188
Train Epoch: 73 [40960/50000 (82%)]	Loss: 2.300950
Train Epoch: 73 [42240/50000 (84%)]	Loss: 2.319306
Train Epoch: 73 [43520/50000 (87%)]	Loss: 2.300565
Train Epoch: 73 [44800/50000 (90%)]	Loss: 2.141522
Train Epoch: 73 [46080/50000 (92%)]	Loss: 2.359897
Train Epoch: 73 [47360/50000 (95%)]	Loss: 2.376510
Train Epoch: 73 [48640/50000 (97%)]	Loss: 2.279987
Train Epoch: 73 [31200/50000 (100%)]	Loss: 2.110076
================================================================
Test: Average loss: 2.2098, Accuracy: 4944/10000 (49%)
================================================================
Train Epoch: 74 [0/50000 (0%)]	Loss: 2.169532
Train Epoch: 74 [1280/50000 (3%)]	Loss: 2.026880
Train Epoch: 74 [2560/50000 (5%)]	Loss: 1.993857
Train Epoch: 74 [3840/50000 (8%)]	Loss: 2.036698
Train Epoch: 74 [5120/50000 (10%)]	Loss: 2.247834
Train Epoch: 74 [6400/50000 (13%)]	Loss: 2.161659
Train Epoch: 74 [7680/50000 (15%)]	Loss: 2.146076
Train Epoch: 74 [8960/50000 (18%)]	Loss: 2.234114
Train Epoch: 74 [10240/50000 (20%)]	Loss: 2.139423
Train Epoch: 74 [11520/50000 (23%)]	Loss: 1.950106
Train Epoch: 74 [12800/50000 (26%)]	Loss: 2.209900
Train Epoch: 74 [14080/50000 (28%)]	Loss: 2.249986
Train Epoch: 74 [15360/50000 (31%)]	Loss: 2.305847
Train Epoch: 74 [16640/50000 (33%)]	Loss: 2.139223
Train Epoch: 74 [17920/50000 (36%)]	Loss: 2.282247
Train Epoch: 74 [19200/50000 (38%)]	Loss: 2.359362
Train Epoch: 74 [20480/50000 (41%)]	Loss: 2.318713
Train Epoch: 74 [21760/50000 (43%)]	Loss: 2.394242
Train Epoch: 74 [23040/50000 (46%)]	Loss: 2.224068
Train Epoch: 74 [24320/50000 (49%)]	Loss: 2.093856
Train Epoch: 74 [25600/50000 (51%)]	Loss: 2.240053
Train Epoch: 74 [26880/50000 (54%)]	Loss: 2.155433
Train Epoch: 74 [28160/50000 (56%)]	Loss: 2.324813
Train Epoch: 74 [29440/50000 (59%)]	Loss: 2.139194
Train Epoch: 74 [30720/50000 (61%)]	Loss: 2.334164
Train Epoch: 74 [32000/50000 (64%)]	Loss: 2.526118
Train Epoch: 74 [33280/50000 (66%)]	Loss: 2.241487
Train Epoch: 74 [34560/50000 (69%)]	Loss: 2.300814
Train Epoch: 74 [35840/50000 (72%)]	Loss: 2.178830
Train Epoch: 74 [37120/50000 (74%)]	Loss: 2.332583
Train Epoch: 74 [38400/50000 (77%)]	Loss: 2.328570
Train Epoch: 74 [39680/50000 (79%)]	Loss: 2.139598
Train Epoch: 74 [40960/50000 (82%)]	Loss: 2.285041
Train Epoch: 74 [42240/50000 (84%)]	Loss: 2.387757
Train Epoch: 74 [43520/50000 (87%)]	Loss: 2.240467
Train Epoch: 74 [44800/50000 (90%)]	Loss: 2.368160
Train Epoch: 74 [46080/50000 (92%)]	Loss: 2.317992
Train Epoch: 74 [47360/50000 (95%)]	Loss: 2.436711
Train Epoch: 74 [48640/50000 (97%)]	Loss: 2.301559
Train Epoch: 74 [31200/50000 (100%)]	Loss: 2.392900
================================================================
Test: Average loss: 2.2053, Accuracy: 5029/10000 (50%)
================================================================
Train Epoch: 75 [0/50000 (0%)]	Loss: 2.170897
Train Epoch: 75 [1280/50000 (3%)]	Loss: 2.175503
Train Epoch: 75 [2560/50000 (5%)]	Loss: 2.066983
Train Epoch: 75 [3840/50000 (8%)]	Loss: 2.055751
Train Epoch: 75 [5120/50000 (10%)]	Loss: 1.993983
Train Epoch: 75 [6400/50000 (13%)]	Loss: 1.999709
Train Epoch: 75 [7680/50000 (15%)]	Loss: 1.890723
Train Epoch: 75 [8960/50000 (18%)]	Loss: 1.802234
Train Epoch: 75 [10240/50000 (20%)]	Loss: 2.086890
Train Epoch: 75 [11520/50000 (23%)]	Loss: 2.002521
Train Epoch: 75 [12800/50000 (26%)]	Loss: 1.915637
Train Epoch: 75 [14080/50000 (28%)]	Loss: 1.933847
Train Epoch: 75 [15360/50000 (31%)]	Loss: 1.991218
Train Epoch: 75 [16640/50000 (33%)]	Loss: 1.826783
Train Epoch: 75 [17920/50000 (36%)]	Loss: 1.950998
Train Epoch: 75 [19200/50000 (38%)]	Loss: 1.949245
Train Epoch: 75 [20480/50000 (41%)]	Loss: 1.953297
Train Epoch: 75 [21760/50000 (43%)]	Loss: 2.011811
Train Epoch: 75 [23040/50000 (46%)]	Loss: 1.856752
Train Epoch: 75 [24320/50000 (49%)]	Loss: 1.930482
Train Epoch: 75 [25600/50000 (51%)]	Loss: 1.844734
Train Epoch: 75 [26880/50000 (54%)]	Loss: 1.774174
Train Epoch: 75 [28160/50000 (56%)]	Loss: 1.944693
Train Epoch: 75 [29440/50000 (59%)]	Loss: 1.944504
Train Epoch: 75 [30720/50000 (61%)]	Loss: 1.904988
Train Epoch: 75 [32000/50000 (64%)]	Loss: 1.862104
Train Epoch: 75 [33280/50000 (66%)]	Loss: 1.902386
Train Epoch: 75 [34560/50000 (69%)]	Loss: 1.847145
Train Epoch: 75 [35840/50000 (72%)]	Loss: 1.918366
Train Epoch: 75 [37120/50000 (74%)]	Loss: 1.863930
Train Epoch: 75 [38400/50000 (77%)]	Loss: 1.858697
Train Epoch: 75 [39680/50000 (79%)]	Loss: 1.791745
Train Epoch: 75 [40960/50000 (82%)]	Loss: 1.947268
Train Epoch: 75 [42240/50000 (84%)]	Loss: 1.991167
Train Epoch: 75 [43520/50000 (87%)]	Loss: 2.028564
Train Epoch: 75 [44800/50000 (90%)]	Loss: 1.837393
Train Epoch: 75 [46080/50000 (92%)]	Loss: 1.971247
Train Epoch: 75 [47360/50000 (95%)]	Loss: 1.866785
Train Epoch: 75 [48640/50000 (97%)]	Loss: 1.970850
Train Epoch: 75 [31200/50000 (100%)]	Loss: 1.895367
================================================================
Test: Average loss: 2.0217, Accuracy: 5466/10000 (55%)
================================================================
Train Epoch: 76 [0/50000 (0%)]	Loss: 1.852501
Train Epoch: 76 [1280/50000 (3%)]	Loss: 1.765063
Train Epoch: 76 [2560/50000 (5%)]	Loss: 1.781890
Train Epoch: 76 [3840/50000 (8%)]	Loss: 2.086349
Train Epoch: 76 [5120/50000 (10%)]	Loss: 1.831247
Train Epoch: 76 [6400/50000 (13%)]	Loss: 1.803460
Train Epoch: 76 [7680/50000 (15%)]	Loss: 1.642095
Train Epoch: 76 [8960/50000 (18%)]	Loss: 1.829284
Train Epoch: 76 [10240/50000 (20%)]	Loss: 1.981436
Train Epoch: 76 [11520/50000 (23%)]	Loss: 1.756614
Train Epoch: 76 [12800/50000 (26%)]	Loss: 1.846144
Train Epoch: 76 [14080/50000 (28%)]	Loss: 1.818506
Train Epoch: 76 [15360/50000 (31%)]	Loss: 1.736431
Train Epoch: 76 [16640/50000 (33%)]	Loss: 1.841015
Train Epoch: 76 [17920/50000 (36%)]	Loss: 1.842713
Train Epoch: 76 [19200/50000 (38%)]	Loss: 1.889395
Train Epoch: 76 [20480/50000 (41%)]	Loss: 1.921876
Train Epoch: 76 [21760/50000 (43%)]	Loss: 1.886652
Train Epoch: 76 [23040/50000 (46%)]	Loss: 1.586749
Train Epoch: 76 [24320/50000 (49%)]	Loss: 1.781742
Train Epoch: 76 [25600/50000 (51%)]	Loss: 1.647780
Train Epoch: 76 [26880/50000 (54%)]	Loss: 1.818411
Train Epoch: 76 [28160/50000 (56%)]	Loss: 1.662050
Train Epoch: 76 [29440/50000 (59%)]	Loss: 1.906730
Train Epoch: 76 [30720/50000 (61%)]	Loss: 1.717265
Train Epoch: 76 [32000/50000 (64%)]	Loss: 1.766239
Train Epoch: 76 [33280/50000 (66%)]	Loss: 2.023583
Train Epoch: 76 [34560/50000 (69%)]	Loss: 1.787655
Train Epoch: 76 [35840/50000 (72%)]	Loss: 1.701650
Train Epoch: 76 [37120/50000 (74%)]	Loss: 1.667129
Train Epoch: 76 [38400/50000 (77%)]	Loss: 1.898023
Train Epoch: 76 [39680/50000 (79%)]	Loss: 1.854895
Train Epoch: 76 [40960/50000 (82%)]	Loss: 1.922332
Train Epoch: 76 [42240/50000 (84%)]	Loss: 1.894767
Train Epoch: 76 [43520/50000 (87%)]	Loss: 1.916229
Train Epoch: 76 [44800/50000 (90%)]	Loss: 1.780806
Train Epoch: 76 [46080/50000 (92%)]	Loss: 1.768329
Train Epoch: 76 [47360/50000 (95%)]	Loss: 1.822977
Train Epoch: 76 [48640/50000 (97%)]	Loss: 1.838882
Train Epoch: 76 [31200/50000 (100%)]	Loss: 1.931269
================================================================
Test: Average loss: 2.0117, Accuracy: 5517/10000 (55%)
================================================================
