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@briansp2020
Created September 7, 2023 16:03
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mnist.py output running on 7900XTX
(venv) root@rocm-ubuntu:~/tmp# python mnist.py
[W interface.cpp:47] Warning: Loading nvfuser library failed with: Error in dlopen: libnvfuser_codegen.so: cannot open shared object file: No such file or directory (function LoadingNvfuserLibrary)
CUDA/ROCm installed!
CUDA/ROCm devices: 1
0 CUDA/ROCm device: Radeon RX 7900 XTX
CUDA/ROCm device set to: 0
Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz to ../data/MNIST/raw/train-images-idx3-ubyte.gz
100.0%
Extracting ../data/MNIST/raw/train-images-idx3-ubyte.gz to ../data/MNIST/raw
Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz to ../data/MNIST/raw/train-labels-idx1-ubyte.gz
100.0%
Extracting ../data/MNIST/raw/train-labels-idx1-ubyte.gz to ../data/MNIST/raw
Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz to ../data/MNIST/raw/t10k-images-idx3-ubyte.gz
100.0%
Extracting ../data/MNIST/raw/t10k-images-idx3-ubyte.gz to ../data/MNIST/raw
Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz to ../data/MNIST/raw/t10k-labels-idx1-ubyte.gz
100.0%
Extracting ../data/MNIST/raw/t10k-labels-idx1-ubyte.gz to ../data/MNIST/raw
Train Epoch: 1 [0/60000 (0%)] Loss: -0.115670
Train Epoch: 1 [640/60000 (1%)] Loss: -0.161951
Train Epoch: 1 [1280/60000 (2%)] Loss: 0.824753
Train Epoch: 1 [1920/60000 (3%)] Loss: 0.001000
Train Epoch: 1 [2560/60000 (4%)] Loss: -0.130200
Train Epoch: 1 [3200/60000 (5%)] Loss: 0.878065
Train Epoch: 1 [3840/60000 (6%)] Loss: 0.001000
Train Epoch: 1 [4480/60000 (7%)] Loss: 0.021144
Train Epoch: 1 [5120/60000 (9%)] Loss: 0.897801
Train Epoch: 1 [5760/60000 (10%)] Loss: 0.001000
Train Epoch: 1 [6400/60000 (11%)] Loss: 0.016165
Train Epoch: 1 [7040/60000 (12%)] Loss: 0.882061
Train Epoch: 1 [7680/60000 (13%)] Loss: 0.001000
Train Epoch: 1 [8320/60000 (14%)] Loss: -0.071889
Train Epoch: 1 [8960/60000 (15%)] Loss: 0.896645
Train Epoch: 1 [9600/60000 (16%)] Loss: 0.001000
Train Epoch: 1 [10240/60000 (17%)] Loss: 0.056927
Train Epoch: 1 [10880/60000 (18%)] Loss: 0.903513
Train Epoch: 1 [11520/60000 (19%)] Loss: 0.001000
Train Epoch: 1 [12160/60000 (20%)] Loss: 0.064727
Train Epoch: 1 [12800/60000 (21%)] Loss: 0.907733
Train Epoch: 1 [13440/60000 (22%)] Loss: 0.001000
Train Epoch: 1 [14080/60000 (23%)] Loss: 0.045212
Train Epoch: 1 [14720/60000 (25%)] Loss: 0.907272
Train Epoch: 1 [15360/60000 (26%)] Loss: 0.001000
Train Epoch: 1 [16000/60000 (27%)] Loss: 0.047984
Train Epoch: 1 [16640/60000 (28%)] Loss: 0.909018
Train Epoch: 1 [17280/60000 (29%)] Loss: 0.001000
Train Epoch: 1 [17920/60000 (30%)] Loss: 0.056223
Train Epoch: 1 [18560/60000 (31%)] Loss: 0.908814
Train Epoch: 1 [19200/60000 (32%)] Loss: 0.001000
Train Epoch: 1 [19840/60000 (33%)] Loss: 0.067669
Train Epoch: 1 [20480/60000 (34%)] Loss: 0.909675
Train Epoch: 1 [21120/60000 (35%)] Loss: 0.001000
Train Epoch: 1 [21760/60000 (36%)] Loss: 0.078826
Train Epoch: 1 [22400/60000 (37%)] Loss: 0.910408
Train Epoch: 1 [23040/60000 (38%)] Loss: 0.001000
Train Epoch: 1 [23680/60000 (39%)] Loss: 0.089715
Train Epoch: 1 [24320/60000 (41%)] Loss: 0.911292
Train Epoch: 1 [24960/60000 (42%)] Loss: 0.001000
Train Epoch: 1 [25600/60000 (43%)] Loss: 0.100344
Train Epoch: 1 [26240/60000 (44%)] Loss: 0.912213
Train Epoch: 1 [26880/60000 (45%)] Loss: 0.001000
Train Epoch: 1 [27520/60000 (46%)] Loss: 0.110719
Train Epoch: 1 [28160/60000 (47%)] Loss: 0.913163
Train Epoch: 1 [28800/60000 (48%)] Loss: 0.001000
Train Epoch: 1 [29440/60000 (49%)] Loss: 0.120846
Train Epoch: 1 [30080/60000 (50%)] Loss: 0.914137
Train Epoch: 1 [30720/60000 (51%)] Loss: 0.001000
Train Epoch: 1 [31360/60000 (52%)] Loss: 0.130732
Train Epoch: 1 [32000/60000 (53%)] Loss: 0.915133
Train Epoch: 1 [32640/60000 (54%)] Loss: 0.001000
Train Epoch: 1 [33280/60000 (55%)] Loss: 0.140382
Train Epoch: 1 [33920/60000 (57%)] Loss: 0.916146
Train Epoch: 1 [34560/60000 (58%)] Loss: 0.001000
Train Epoch: 1 [35200/60000 (59%)] Loss: 0.149803
Train Epoch: 1 [35840/60000 (60%)] Loss: 0.917174
Train Epoch: 1 [36480/60000 (61%)] Loss: 0.001000
Train Epoch: 1 [37120/60000 (62%)] Loss: 0.159000
Train Epoch: 1 [37760/60000 (63%)] Loss: 0.918213
Train Epoch: 1 [38400/60000 (64%)] Loss: 0.001000
Train Epoch: 1 [39040/60000 (65%)] Loss: 0.167978
Train Epoch: 1 [39680/60000 (66%)] Loss: 0.919261
Train Epoch: 1 [40320/60000 (67%)] Loss: 0.001000
Train Epoch: 1 [40960/60000 (68%)] Loss: 0.176745
Train Epoch: 1 [41600/60000 (69%)] Loss: 0.920316
Train Epoch: 1 [42240/60000 (70%)] Loss: 0.001000
Train Epoch: 1 [42880/60000 (71%)] Loss: 0.185304
Train Epoch: 1 [43520/60000 (72%)] Loss: 0.921374
Train Epoch: 1 [44160/60000 (74%)] Loss: 0.001000
Train Epoch: 1 [44800/60000 (75%)] Loss: 0.193661
Train Epoch: 1 [45440/60000 (76%)] Loss: 0.922433
Train Epoch: 1 [46080/60000 (77%)] Loss: 0.001000
Train Epoch: 1 [46720/60000 (78%)] Loss: 0.201822
Train Epoch: 1 [47360/60000 (79%)] Loss: 0.923492
Train Epoch: 1 [48000/60000 (80%)] Loss: 0.001000
Train Epoch: 1 [48640/60000 (81%)] Loss: 0.209791
Train Epoch: 1 [49280/60000 (82%)] Loss: 0.924549
Train Epoch: 1 [49920/60000 (83%)] Loss: 0.001000
Train Epoch: 1 [50560/60000 (84%)] Loss: 0.217574
Train Epoch: 1 [51200/60000 (85%)] Loss: 0.925601
Train Epoch: 1 [51840/60000 (86%)] Loss: 0.001000
Train Epoch: 1 [52480/60000 (87%)] Loss: 0.225174
Train Epoch: 1 [53120/60000 (88%)] Loss: 0.926648
Train Epoch: 1 [53760/60000 (90%)] Loss: 0.001000
Train Epoch: 1 [54400/60000 (91%)] Loss: 0.232598
Train Epoch: 1 [55040/60000 (92%)] Loss: 0.927687
Train Epoch: 1 [55680/60000 (93%)] Loss: 0.001000
Train Epoch: 1 [56320/60000 (94%)] Loss: 0.239849
Train Epoch: 1 [56960/60000 (95%)] Loss: 0.928718
Train Epoch: 1 [57600/60000 (96%)] Loss: 0.001000
Train Epoch: 1 [58240/60000 (97%)] Loss: 0.246931
Train Epoch: 1 [58880/60000 (98%)] Loss: 0.929738
Train Epoch: 1 [59520/60000 (99%)] Loss: 0.001000
Test set: Average loss: 0.0000, Accuracy: 90/10000 (1%)
Train Epoch: 2 [0/60000 (0%)] Loss: 0.250377
Train Epoch: 2 [640/60000 (1%)] Loss: 0.000000
Train Epoch: 2 [1280/60000 (2%)] Loss: 0.353785
Train Epoch: 2 [1920/60000 (3%)] Loss: 0.208908
Train Epoch: 2 [2560/60000 (4%)] Loss: 0.123361
Train Epoch: 2 [3200/60000 (5%)] Loss: 0.072848
Train Epoch: 2 [3840/60000 (6%)] Loss: 0.043023
Train Epoch: 2 [4480/60000 (7%)] Loss: 0.025418
Train Epoch: 2 [5120/60000 (9%)] Loss: 0.015031
Train Epoch: 2 [5760/60000 (10%)] Loss: 0.008912
Train Epoch: 2 [6400/60000 (11%)] Loss: 0.005324
Train Epoch: 2 [7040/60000 (12%)] Loss: 0.003246
Train Epoch: 2 [7680/60000 (13%)] Loss: 0.002080
Train Epoch: 2 [8320/60000 (14%)] Loss: 0.001469
Train Epoch: 2 [8960/60000 (15%)] Loss: 0.001185
Train Epoch: 2 [9600/60000 (16%)] Loss: 0.001068
Train Epoch: 2 [10240/60000 (17%)] Loss: 0.001024
Train Epoch: 2 [10880/60000 (18%)] Loss: 0.001009
Train Epoch: 2 [11520/60000 (19%)] Loss: 0.001003
Train Epoch: 2 [12160/60000 (20%)] Loss: 0.001001
Train Epoch: 2 [12800/60000 (21%)] Loss: 0.001000
Train Epoch: 2 [13440/60000 (22%)] Loss: 0.001000
Train Epoch: 2 [14080/60000 (23%)] Loss: 0.001000
Train Epoch: 2 [14720/60000 (25%)] Loss: 0.001000
Train Epoch: 2 [15360/60000 (26%)] Loss: 0.001000
Train Epoch: 2 [16000/60000 (27%)] Loss: 0.001000
Train Epoch: 2 [16640/60000 (28%)] Loss: 0.001000
Train Epoch: 2 [17280/60000 (29%)] Loss: 0.001000
Train Epoch: 2 [17920/60000 (30%)] Loss: 0.001000
Train Epoch: 2 [18560/60000 (31%)] Loss: 0.001000
Train Epoch: 2 [19200/60000 (32%)] Loss: 0.001000
Train Epoch: 2 [19840/60000 (33%)] Loss: 0.001000
Train Epoch: 2 [20480/60000 (34%)] Loss: 0.001000
Train Epoch: 2 [21120/60000 (35%)] Loss: 0.001000
Train Epoch: 2 [21760/60000 (36%)] Loss: 0.001000
Train Epoch: 2 [22400/60000 (37%)] Loss: 0.001000
Train Epoch: 2 [23040/60000 (38%)] Loss: 0.001000
Train Epoch: 2 [23680/60000 (39%)] Loss: 0.001000
Train Epoch: 2 [24320/60000 (41%)] Loss: 0.001000
Train Epoch: 2 [24960/60000 (42%)] Loss: 0.001000
Train Epoch: 2 [25600/60000 (43%)] Loss: 0.001000
Train Epoch: 2 [26240/60000 (44%)] Loss: 0.001000
Train Epoch: 2 [26880/60000 (45%)] Loss: 0.001000
Train Epoch: 2 [27520/60000 (46%)] Loss: 0.001000
Train Epoch: 2 [28160/60000 (47%)] Loss: 0.001000
Train Epoch: 2 [28800/60000 (48%)] Loss: 0.001000
Train Epoch: 2 [29440/60000 (49%)] Loss: 0.001000
Train Epoch: 2 [30080/60000 (50%)] Loss: 0.001000
Train Epoch: 2 [30720/60000 (51%)] Loss: 0.001000
Train Epoch: 2 [31360/60000 (52%)] Loss: 0.001000
Train Epoch: 2 [32000/60000 (53%)] Loss: 0.001000
Train Epoch: 2 [32640/60000 (54%)] Loss: 0.001000
Train Epoch: 2 [33280/60000 (55%)] Loss: 0.001000
Train Epoch: 2 [33920/60000 (57%)] Loss: 0.001000
Train Epoch: 2 [34560/60000 (58%)] Loss: 0.001000
Train Epoch: 2 [35200/60000 (59%)] Loss: 0.001000
Train Epoch: 2 [35840/60000 (60%)] Loss: 0.001000
Train Epoch: 2 [36480/60000 (61%)] Loss: 0.001000
Train Epoch: 2 [37120/60000 (62%)] Loss: 0.001000
Train Epoch: 2 [37760/60000 (63%)] Loss: 0.001000
Train Epoch: 2 [38400/60000 (64%)] Loss: 0.001000
Train Epoch: 2 [39040/60000 (65%)] Loss: 0.001000
Train Epoch: 2 [39680/60000 (66%)] Loss: 0.001000
Train Epoch: 2 [40320/60000 (67%)] Loss: 0.001000
Train Epoch: 2 [40960/60000 (68%)] Loss: 0.001000
Train Epoch: 2 [41600/60000 (69%)] Loss: 0.001000
Train Epoch: 2 [42240/60000 (70%)] Loss: 0.001000
Train Epoch: 2 [42880/60000 (71%)] Loss: 0.001000
Train Epoch: 2 [43520/60000 (72%)] Loss: 0.001000
Train Epoch: 2 [44160/60000 (74%)] Loss: 0.001000
Train Epoch: 2 [44800/60000 (75%)] Loss: 0.001000
Train Epoch: 2 [45440/60000 (76%)] Loss: 0.001000
Train Epoch: 2 [46080/60000 (77%)] Loss: 0.001000
Train Epoch: 2 [46720/60000 (78%)] Loss: 0.001000
Train Epoch: 2 [47360/60000 (79%)] Loss: 0.001000
Train Epoch: 2 [48000/60000 (80%)] Loss: 0.001000
Train Epoch: 2 [48640/60000 (81%)] Loss: 0.001000
Train Epoch: 2 [49280/60000 (82%)] Loss: 0.001000
Train Epoch: 2 [49920/60000 (83%)] Loss: 0.001000
Train Epoch: 2 [50560/60000 (84%)] Loss: 0.001000
Train Epoch: 2 [51200/60000 (85%)] Loss: 0.001000
Train Epoch: 2 [51840/60000 (86%)] Loss: 0.001000
Train Epoch: 2 [52480/60000 (87%)] Loss: 0.001000
Train Epoch: 2 [53120/60000 (88%)] Loss: 0.001000
Train Epoch: 2 [53760/60000 (90%)] Loss: 0.001000
Train Epoch: 2 [54400/60000 (91%)] Loss: 0.001000
Train Epoch: 2 [55040/60000 (92%)] Loss: 0.001000
Train Epoch: 2 [55680/60000 (93%)] Loss: 0.001000
Train Epoch: 2 [56320/60000 (94%)] Loss: 0.001000
Train Epoch: 2 [56960/60000 (95%)] Loss: 0.001000
Train Epoch: 2 [57600/60000 (96%)] Loss: 0.001000
Train Epoch: 2 [58240/60000 (97%)] Loss: 0.001000
Train Epoch: 2 [58880/60000 (98%)] Loss: 0.001000
Train Epoch: 2 [59520/60000 (99%)] Loss: 0.001000
Test set: Average loss: 0.0000, Accuracy: 45111525646321930670/10000 (451115256463219328%)
Train Epoch: 3 [0/60000 (0%)] Loss: 0.246353
Train Epoch: 3 [640/60000 (1%)] Loss: 0.247946
Train Epoch: 3 [1280/60000 (2%)] Loss: 0.833525
Train Epoch: 3 [1920/60000 (3%)] Loss: 0.001000
Train Epoch: 3 [2560/60000 (4%)] Loss: 0.252356
Train Epoch: 3 [3200/60000 (5%)] Loss: 0.924571
Train Epoch: 3 [3840/60000 (6%)] Loss: 0.001000
Train Epoch: 3 [4480/60000 (7%)] Loss: 0.256024
Train Epoch: 3 [5120/60000 (9%)] Loss: 0.930431
Train Epoch: 3 [5760/60000 (10%)] Loss: 0.001000
Train Epoch: 3 [6400/60000 (11%)] Loss: 0.259468
Train Epoch: 3 [7040/60000 (12%)] Loss: 0.931315
Train Epoch: 3 [7680/60000 (13%)] Loss: 0.001000
Train Epoch: 3 [8320/60000 (14%)] Loss: 0.262811
Train Epoch: 3 [8960/60000 (15%)] Loss: 0.931831
Train Epoch: 3 [9600/60000 (16%)] Loss: 0.001000
Train Epoch: 3 [10240/60000 (17%)] Loss: 0.266095
Train Epoch: 3 [10880/60000 (18%)] Loss: 0.932311
Train Epoch: 3 [11520/60000 (19%)] Loss: 0.001000
Train Epoch: 3 [12160/60000 (20%)] Loss: 0.269332
Train Epoch: 3 [12800/60000 (21%)] Loss: 0.932784
Train Epoch: 3 [13440/60000 (22%)] Loss: 0.001000
Train Epoch: 3 [14080/60000 (23%)] Loss: 0.272529
Train Epoch: 3 [14720/60000 (25%)] Loss: 0.933252
Train Epoch: 3 [15360/60000 (26%)] Loss: 0.001000
Train Epoch: 3 [16000/60000 (27%)] Loss: 0.275688
Train Epoch: 3 [16640/60000 (28%)] Loss: 0.933717
Train Epoch: 3 [17280/60000 (29%)] Loss: 0.001000
Train Epoch: 3 [17920/60000 (30%)] Loss: 0.278812
Train Epoch: 3 [18560/60000 (31%)] Loss: 0.934178
Train Epoch: 3 [19200/60000 (32%)] Loss: 0.001000
Train Epoch: 3 [19840/60000 (33%)] Loss: 0.281900
Train Epoch: 3 [20480/60000 (34%)] Loss: 0.934635
Train Epoch: 3 [21120/60000 (35%)] Loss: 0.001000
Train Epoch: 3 [21760/60000 (36%)] Loss: 0.284953
Train Epoch: 3 [22400/60000 (37%)] Loss: 0.935089
Train Epoch: 3 [23040/60000 (38%)] Loss: 0.001000
Train Epoch: 3 [23680/60000 (39%)] Loss: 0.287971
Train Epoch: 3 [24320/60000 (41%)] Loss: 0.935539
Train Epoch: 3 [24960/60000 (42%)] Loss: 0.001000
Train Epoch: 3 [25600/60000 (43%)] Loss: 0.290956
Train Epoch: 3 [26240/60000 (44%)] Loss: 0.935986
Train Epoch: 3 [26880/60000 (45%)] Loss: 0.001000
Train Epoch: 3 [27520/60000 (46%)] Loss: 0.293907
Train Epoch: 3 [28160/60000 (47%)] Loss: 0.936429
Train Epoch: 3 [28800/60000 (48%)] Loss: 0.001000
Train Epoch: 3 [29440/60000 (49%)] Loss: 0.296826
Train Epoch: 3 [30080/60000 (50%)] Loss: 0.936868
Train Epoch: 3 [30720/60000 (51%)] Loss: 0.001000
Train Epoch: 3 [31360/60000 (52%)] Loss: 0.299711
Train Epoch: 3 [32000/60000 (53%)] Loss: 0.937303
Train Epoch: 3 [32640/60000 (54%)] Loss: 0.001000
Train Epoch: 3 [33280/60000 (55%)] Loss: 0.302564
Train Epoch: 3 [33920/60000 (57%)] Loss: 0.937734
Train Epoch: 3 [34560/60000 (58%)] Loss: 0.001000
Train Epoch: 3 [35200/60000 (59%)] Loss: 0.305386
Train Epoch: 3 [35840/60000 (60%)] Loss: 0.938161
Train Epoch: 3 [36480/60000 (61%)] Loss: 0.001000
Train Epoch: 3 [37120/60000 (62%)] Loss: 0.308176
Train Epoch: 3 [37760/60000 (63%)] Loss: 0.938583
Train Epoch: 3 [38400/60000 (64%)] Loss: 0.001000
Train Epoch: 3 [39040/60000 (65%)] Loss: 0.310935
Train Epoch: 3 [39680/60000 (66%)] Loss: 0.939002
Train Epoch: 3 [40320/60000 (67%)] Loss: 0.001000
Train Epoch: 3 [40960/60000 (68%)] Loss: 0.313664
Train Epoch: 3 [41600/60000 (69%)] Loss: 0.939417
Train Epoch: 3 [42240/60000 (70%)] Loss: 0.001000
Train Epoch: 3 [42880/60000 (71%)] Loss: 0.316362
Train Epoch: 3 [43520/60000 (72%)] Loss: 0.939827
Train Epoch: 3 [44160/60000 (74%)] Loss: 0.001000
Train Epoch: 3 [44800/60000 (75%)] Loss: 0.319030
Train Epoch: 3 [45440/60000 (76%)] Loss: 0.940233
Train Epoch: 3 [46080/60000 (77%)] Loss: 0.001000
Train Epoch: 3 [46720/60000 (78%)] Loss: 0.321669
Train Epoch: 3 [47360/60000 (79%)] Loss: 0.940635
Train Epoch: 3 [48000/60000 (80%)] Loss: 0.001000
Train Epoch: 3 [48640/60000 (81%)] Loss: 0.324279
Train Epoch: 3 [49280/60000 (82%)] Loss: 0.941033
Train Epoch: 3 [49920/60000 (83%)] Loss: 0.001000
Train Epoch: 3 [50560/60000 (84%)] Loss: 0.326860
Train Epoch: 3 [51200/60000 (85%)] Loss: 0.941426
Train Epoch: 3 [51840/60000 (86%)] Loss: 0.001000
Train Epoch: 3 [52480/60000 (87%)] Loss: 0.329413
Train Epoch: 3 [53120/60000 (88%)] Loss: 0.941815
Train Epoch: 3 [53760/60000 (90%)] Loss: 0.001000
Train Epoch: 3 [54400/60000 (91%)] Loss: 0.331937
Train Epoch: 3 [55040/60000 (92%)] Loss: 0.942200
Train Epoch: 3 [55680/60000 (93%)] Loss: 0.001000
Train Epoch: 3 [56320/60000 (94%)] Loss: 0.334434
Train Epoch: 3 [56960/60000 (95%)] Loss: 0.942580
Train Epoch: 3 [57600/60000 (96%)] Loss: 0.001000
Train Epoch: 3 [58240/60000 (97%)] Loss: 0.336904
Train Epoch: 3 [58880/60000 (98%)] Loss: 0.942956
Train Epoch: 3 [59520/60000 (99%)] Loss: 0.001000
Test set: Average loss: 0.0000, Accuracy: 60/10000 (1%)
Train Epoch: 4 [0/60000 (0%)] Loss: 0.003817
Train Epoch: 4 [640/60000 (1%)] Loss: 0.001000
Train Epoch: 4 [1280/60000 (2%)] Loss: 0.338045
Train Epoch: 4 [1920/60000 (3%)] Loss: 0.926075
Train Epoch: 4 [2560/60000 (4%)] Loss: 0.001000
Train Epoch: 4 [3200/60000 (5%)] Loss: 0.339764
Train Epoch: 4 [3840/60000 (6%)] Loss: 0.942272
Train Epoch: 4 [4480/60000 (7%)] Loss: 0.001000
Train Epoch: 4 [5120/60000 (9%)] Loss: 0.341461
Train Epoch: 4 [5760/60000 (10%)] Loss: 0.943435
Train Epoch: 4 [6400/60000 (11%)] Loss: 0.001000
Train Epoch: 4 [7040/60000 (12%)] Loss: 0.343144
Train Epoch: 4 [7680/60000 (13%)] Loss: 0.943747
Train Epoch: 4 [8320/60000 (14%)] Loss: 0.001000
Train Epoch: 4 [8960/60000 (15%)] Loss: 0.344813
Train Epoch: 4 [9600/60000 (16%)] Loss: 0.944003
Train Epoch: 4 [10240/60000 (17%)] Loss: 0.001000
Train Epoch: 4 [10880/60000 (18%)] Loss: 0.346470
Train Epoch: 4 [11520/60000 (19%)] Loss: 0.944253
Train Epoch: 4 [12160/60000 (20%)] Loss: 0.001000
Train Epoch: 4 [12800/60000 (21%)] Loss: 0.348114
Train Epoch: 4 [13440/60000 (22%)] Loss: 0.944501
Train Epoch: 4 [14080/60000 (23%)] Loss: 0.001000
Train Epoch: 4 [14720/60000 (25%)] Loss: 0.349745
Train Epoch: 4 [15360/60000 (26%)] Loss: 0.944746
Train Epoch: 4 [16000/60000 (27%)] Loss: 0.001000
Train Epoch: 4 [16640/60000 (28%)] Loss: 0.351365
Train Epoch: 4 [17280/60000 (29%)] Loss: 0.944989
Train Epoch: 4 [17920/60000 (30%)] Loss: 0.001000
Train Epoch: 4 [18560/60000 (31%)] Loss: 0.352971
Train Epoch: 4 [19200/60000 (32%)] Loss: 0.945231
Train Epoch: 4 [19840/60000 (33%)] Loss: 0.001000
Train Epoch: 4 [20480/60000 (34%)] Loss: 0.354566
Train Epoch: 4 [21120/60000 (35%)] Loss: 0.945470
Train Epoch: 4 [21760/60000 (36%)] Loss: 0.001000
Train Epoch: 4 [22400/60000 (37%)] Loss: 0.356148
Train Epoch: 4 [23040/60000 (38%)] Loss: 0.945706
Train Epoch: 4 [23680/60000 (39%)] Loss: 0.001000
Train Epoch: 4 [24320/60000 (41%)] Loss: 0.357719
Train Epoch: 4 [24960/60000 (42%)] Loss: 0.945941
Train Epoch: 4 [25600/60000 (43%)] Loss: 0.001000
Train Epoch: 4 [26240/60000 (44%)] Loss: 0.359278
Train Epoch: 4 [26880/60000 (45%)] Loss: 0.946173
Train Epoch: 4 [27520/60000 (46%)] Loss: 0.001000
Train Epoch: 4 [28160/60000 (47%)] Loss: 0.360824
Train Epoch: 4 [28800/60000 (48%)] Loss: 0.946404
Train Epoch: 4 [29440/60000 (49%)] Loss: 0.001000
Train Epoch: 4 [30080/60000 (50%)] Loss: 0.362359
Train Epoch: 4 [30720/60000 (51%)] Loss: 0.946632
Train Epoch: 4 [31360/60000 (52%)] Loss: 0.001000
Train Epoch: 4 [32000/60000 (53%)] Loss: 0.363883
Train Epoch: 4 [32640/60000 (54%)] Loss: 0.946857
Train Epoch: 4 [33280/60000 (55%)] Loss: 0.001000
Train Epoch: 4 [33920/60000 (57%)] Loss: 0.365395
Train Epoch: 4 [34560/60000 (58%)] Loss: 0.947081
Train Epoch: 4 [35200/60000 (59%)] Loss: 0.001000
Train Epoch: 4 [35840/60000 (60%)] Loss: 0.366896
Train Epoch: 4 [36480/60000 (61%)] Loss: 0.947303
Train Epoch: 4 [37120/60000 (62%)] Loss: 0.001000
Train Epoch: 4 [37760/60000 (63%)] Loss: 0.368385
Train Epoch: 4 [38400/60000 (64%)] Loss: 0.947522
Train Epoch: 4 [39040/60000 (65%)] Loss: 0.001000
Train Epoch: 4 [39680/60000 (66%)] Loss: 0.369864
Train Epoch: 4 [40320/60000 (67%)] Loss: 0.947739
Train Epoch: 4 [40960/60000 (68%)] Loss: 0.001000
Train Epoch: 4 [41600/60000 (69%)] Loss: 0.371331
Train Epoch: 4 [42240/60000 (70%)] Loss: 0.947954
Train Epoch: 4 [42880/60000 (71%)] Loss: 0.001000
Train Epoch: 4 [43520/60000 (72%)] Loss: 0.372787
Train Epoch: 4 [44160/60000 (74%)] Loss: 0.948167
Train Epoch: 4 [44800/60000 (75%)] Loss: 0.001000
Train Epoch: 4 [45440/60000 (76%)] Loss: 0.374232
Train Epoch: 4 [46080/60000 (77%)] Loss: 0.948378
Train Epoch: 4 [46720/60000 (78%)] Loss: 0.001000
Train Epoch: 4 [47360/60000 (79%)] Loss: 0.375667
Train Epoch: 4 [48000/60000 (80%)] Loss: 0.948586
Train Epoch: 4 [48640/60000 (81%)] Loss: 0.001000
Train Epoch: 4 [49280/60000 (82%)] Loss: 0.377090
Train Epoch: 4 [49920/60000 (83%)] Loss: 0.948793
Train Epoch: 4 [50560/60000 (84%)] Loss: 0.001000
Train Epoch: 4 [51200/60000 (85%)] Loss: 0.378503
Train Epoch: 4 [51840/60000 (86%)] Loss: 0.948997
Train Epoch: 4 [52480/60000 (87%)] Loss: 0.001000
Train Epoch: 4 [53120/60000 (88%)] Loss: 0.379906
Train Epoch: 4 [53760/60000 (90%)] Loss: 0.949199
Train Epoch: 4 [54400/60000 (91%)] Loss: 0.001000
Train Epoch: 4 [55040/60000 (92%)] Loss: 0.381298
Train Epoch: 4 [55680/60000 (93%)] Loss: 0.949399
Train Epoch: 4 [56320/60000 (94%)] Loss: 0.001000
Train Epoch: 4 [56960/60000 (95%)] Loss: 0.382680
Train Epoch: 4 [57600/60000 (96%)] Loss: 0.949597
Train Epoch: 4 [58240/60000 (97%)] Loss: 0.001000
Train Epoch: 4 [58880/60000 (98%)] Loss: 0.384051
Train Epoch: 4 [59520/60000 (99%)] Loss: 0.949793
Test set: Average loss: 0.0005, Accuracy: 40/10000 (0%)
Train Epoch: 5 [0/60000 (0%)] Loss: 0.401812
Train Epoch: 5 [640/60000 (1%)] Loss: 0.001000
Train Epoch: 5 [1280/60000 (2%)] Loss: 0.383462
Train Epoch: 5 [1920/60000 (3%)] Loss: 0.928507
Train Epoch: 5 [2560/60000 (4%)] Loss: 0.001000
Train Epoch: 5 [3200/60000 (5%)] Loss: 0.384432
Train Epoch: 5 [3840/60000 (6%)] Loss: 0.948452
Train Epoch: 5 [4480/60000 (7%)] Loss: 0.001000
Train Epoch: 5 [5120/60000 (9%)] Loss: 0.385389
Train Epoch: 5 [5760/60000 (10%)] Loss: 0.949720
Train Epoch: 5 [6400/60000 (11%)] Loss: 0.001000
Train Epoch: 5 [7040/60000 (12%)] Loss: 0.386339
Train Epoch: 5 [7680/60000 (13%)] Loss: 0.949925
Train Epoch: 5 [8320/60000 (14%)] Loss: 0.001000
Train Epoch: 5 [8960/60000 (15%)] Loss: 0.387284
Train Epoch: 5 [9600/60000 (16%)] Loss: 0.950063
Train Epoch: 5 [10240/60000 (17%)] Loss: 0.001000
Train Epoch: 5 [10880/60000 (18%)] Loss: 0.388224
Train Epoch: 5 [11520/60000 (19%)] Loss: 0.950196
Train Epoch: 5 [12160/60000 (20%)] Loss: 0.001000
Train Epoch: 5 [12800/60000 (21%)] Loss: 0.389160
Train Epoch: 5 [13440/60000 (22%)] Loss: 0.950327
Train Epoch: 5 [14080/60000 (23%)] Loss: 0.001000
Train Epoch: 5 [14720/60000 (25%)] Loss: 0.390090
Train Epoch: 5 [15360/60000 (26%)] Loss: 0.950457
Train Epoch: 5 [16000/60000 (27%)] Loss: 0.001000
Train Epoch: 5 [16640/60000 (28%)] Loss: 0.391015
Train Epoch: 5 [17280/60000 (29%)] Loss: 0.950586
Train Epoch: 5 [17920/60000 (30%)] Loss: 0.001000
Train Epoch: 5 [18560/60000 (31%)] Loss: 0.391936
Train Epoch: 5 [19200/60000 (32%)] Loss: 0.950715
Train Epoch: 5 [19840/60000 (33%)] Loss: 0.001000
Train Epoch: 5 [20480/60000 (34%)] Loss: 0.392852
Train Epoch: 5 [21120/60000 (35%)] Loss: 0.950842
Train Epoch: 5 [21760/60000 (36%)] Loss: 0.001000
Train Epoch: 5 [22400/60000 (37%)] Loss: 0.393763
Train Epoch: 5 [23040/60000 (38%)] Loss: 0.950968
Train Epoch: 5 [23680/60000 (39%)] Loss: 0.001000
Train Epoch: 5 [24320/60000 (41%)] Loss: 0.394670
Train Epoch: 5 [24960/60000 (42%)] Loss: 0.951093
Train Epoch: 5 [25600/60000 (43%)] Loss: 0.001000
Train Epoch: 5 [26240/60000 (44%)] Loss: 0.395572
Train Epoch: 5 [26880/60000 (45%)] Loss: 0.951217
Train Epoch: 5 [27520/60000 (46%)] Loss: 0.001000
Train Epoch: 5 [28160/60000 (47%)] Loss: 0.396469
Train Epoch: 5 [28800/60000 (48%)] Loss: 0.951340
Train Epoch: 5 [29440/60000 (49%)] Loss: 0.001000
Train Epoch: 5 [30080/60000 (50%)] Loss: 0.397361
Train Epoch: 5 [30720/60000 (51%)] Loss: 0.951463
Train Epoch: 5 [31360/60000 (52%)] Loss: 0.001000
Train Epoch: 5 [32000/60000 (53%)] Loss: 0.398249
Train Epoch: 5 [32640/60000 (54%)] Loss: 0.951584
Train Epoch: 5 [33280/60000 (55%)] Loss: 0.001000
Train Epoch: 5 [33920/60000 (57%)] Loss: 0.399132
Train Epoch: 5 [34560/60000 (58%)] Loss: 0.951704
Train Epoch: 5 [35200/60000 (59%)] Loss: 0.001000
Train Epoch: 5 [35840/60000 (60%)] Loss: 0.400011
Train Epoch: 5 [36480/60000 (61%)] Loss: 0.951823
Train Epoch: 5 [37120/60000 (62%)] Loss: 0.001000
Train Epoch: 5 [37760/60000 (63%)] Loss: 0.400885
Train Epoch: 5 [38400/60000 (64%)] Loss: 0.951941
Train Epoch: 5 [39040/60000 (65%)] Loss: 0.001000
Train Epoch: 5 [39680/60000 (66%)] Loss: 0.401755
Train Epoch: 5 [40320/60000 (67%)] Loss: 0.952058
Train Epoch: 5 [40960/60000 (68%)] Loss: 0.001000
Train Epoch: 5 [41600/60000 (69%)] Loss: 0.402620
Train Epoch: 5 [42240/60000 (70%)] Loss: 0.952174
Train Epoch: 5 [42880/60000 (71%)] Loss: 0.001000
Train Epoch: 5 [43520/60000 (72%)] Loss: 0.403480
Train Epoch: 5 [44160/60000 (74%)] Loss: 0.952289
Train Epoch: 5 [44800/60000 (75%)] Loss: 0.001000
Train Epoch: 5 [45440/60000 (76%)] Loss: 0.404337
Train Epoch: 5 [46080/60000 (77%)] Loss: 0.952404
Train Epoch: 5 [46720/60000 (78%)] Loss: 0.001000
Train Epoch: 5 [47360/60000 (79%)] Loss: 0.405189
Train Epoch: 5 [48000/60000 (80%)] Loss: 0.952517
Train Epoch: 5 [48640/60000 (81%)] Loss: 0.001000
Train Epoch: 5 [49280/60000 (82%)] Loss: 0.406036
Train Epoch: 5 [49920/60000 (83%)] Loss: 0.952629
Train Epoch: 5 [50560/60000 (84%)] Loss: 0.001000
Train Epoch: 5 [51200/60000 (85%)] Loss: 0.406879
Train Epoch: 5 [51840/60000 (86%)] Loss: 0.952740
Train Epoch: 5 [52480/60000 (87%)] Loss: 0.001000
Train Epoch: 5 [53120/60000 (88%)] Loss: 0.407718
Train Epoch: 5 [53760/60000 (90%)] Loss: 0.952851
Train Epoch: 5 [54400/60000 (91%)] Loss: 0.001000
Train Epoch: 5 [55040/60000 (92%)] Loss: 0.408553
Train Epoch: 5 [55680/60000 (93%)] Loss: 0.952960
Train Epoch: 5 [56320/60000 (94%)] Loss: 0.001000
Train Epoch: 5 [56960/60000 (95%)] Loss: 0.409383
Train Epoch: 5 [57600/60000 (96%)] Loss: 0.953068
Train Epoch: 5 [58240/60000 (97%)] Loss: 0.001000
Train Epoch: 5 [58880/60000 (98%)] Loss: 0.410209
Train Epoch: 5 [59520/60000 (99%)] Loss: 0.953176
Test set: Average loss: 0.0005, Accuracy: 70/10000 (1%)
Train Epoch: 6 [0/60000 (0%)] Loss: 0.412359
Train Epoch: 6 [640/60000 (1%)] Loss: 0.001000
Train Epoch: 6 [1280/60000 (2%)] Loss: 0.409625
Train Epoch: 6 [1920/60000 (3%)] Loss: 0.932164
Train Epoch: 6 [2560/60000 (4%)] Loss: 0.001000
Train Epoch: 6 [3200/60000 (5%)] Loss: 0.410211
Train Epoch: 6 [3840/60000 (6%)] Loss: 0.951818
Train Epoch: 6 [4480/60000 (7%)] Loss: 0.001000
Train Epoch: 6 [5120/60000 (9%)] Loss: 0.410790
Train Epoch: 6 [5760/60000 (10%)] Loss: 0.953010
Train Epoch: 6 [6400/60000 (11%)] Loss: 0.001000
Train Epoch: 6 [7040/60000 (12%)] Loss: 0.411365
Train Epoch: 6 [7680/60000 (13%)] Loss: 0.953154
Train Epoch: 6 [8320/60000 (14%)] Loss: 0.001000
Train Epoch: 6 [8960/60000 (15%)] Loss: 0.411938
Train Epoch: 6 [9600/60000 (16%)] Loss: 0.953232
Train Epoch: 6 [10240/60000 (17%)] Loss: 0.001000
Train Epoch: 6 [10880/60000 (18%)] Loss: 0.412509
Train Epoch: 6 [11520/60000 (19%)] Loss: 0.953306
Train Epoch: 6 [12160/60000 (20%)] Loss: 0.001000
Train Epoch: 6 [12800/60000 (21%)] Loss: 0.413078
Train Epoch: 6 [13440/60000 (22%)] Loss: 0.953378
Train Epoch: 6 [14080/60000 (23%)] Loss: 0.001000
Train Epoch: 6 [14720/60000 (25%)] Loss: 0.413645
Train Epoch: 6 [15360/60000 (26%)] Loss: 0.953451
Train Epoch: 6 [16000/60000 (27%)] Loss: 0.001000
Train Epoch: 6 [16640/60000 (28%)] Loss: 0.414210
Train Epoch: 6 [17280/60000 (29%)] Loss: 0.953523
Train Epoch: 6 [17920/60000 (30%)] Loss: 0.001000
Train Epoch: 6 [18560/60000 (31%)] Loss: 0.414773
Train Epoch: 6 [19200/60000 (32%)] Loss: 0.953594
Train Epoch: 6 [19840/60000 (33%)] Loss: 0.001000
Train Epoch: 6 [20480/60000 (34%)] Loss: 0.415334
Train Epoch: 6 [21120/60000 (35%)] Loss: 0.953665
Train Epoch: 6 [21760/60000 (36%)] Loss: 0.001000
Train Epoch: 6 [22400/60000 (37%)] Loss: 0.415893
Train Epoch: 6 [23040/60000 (38%)] Loss: 0.953736
Train Epoch: 6 [23680/60000 (39%)] Loss: 0.001000
Train Epoch: 6 [24320/60000 (41%)] Loss: 0.416450
Train Epoch: 6 [24960/60000 (42%)] Loss: 0.953806
Train Epoch: 6 [25600/60000 (43%)] Loss: 0.001000
Train Epoch: 6 [26240/60000 (44%)] Loss: 0.417005
Train Epoch: 6 [26880/60000 (45%)] Loss: 0.953876
Train Epoch: 6 [27520/60000 (46%)] Loss: 0.001000
Train Epoch: 6 [28160/60000 (47%)] Loss: 0.417558
Train Epoch: 6 [28800/60000 (48%)] Loss: 0.953945
Train Epoch: 6 [29440/60000 (49%)] Loss: 0.001000
Train Epoch: 6 [30080/60000 (50%)] Loss: 0.418109
Train Epoch: 6 [30720/60000 (51%)] Loss: 0.954014
Train Epoch: 6 [31360/60000 (52%)] Loss: 0.001000
Train Epoch: 6 [32000/60000 (53%)] Loss: 0.418658
Train Epoch: 6 [32640/60000 (54%)] Loss: 0.954082
Train Epoch: 6 [33280/60000 (55%)] Loss: 0.001000
Train Epoch: 6 [33920/60000 (57%)] Loss: 0.419205
Train Epoch: 6 [34560/60000 (58%)] Loss: 0.954150
Train Epoch: 6 [35200/60000 (59%)] Loss: 0.001000
Train Epoch: 6 [35840/60000 (60%)] Loss: 0.419750
Train Epoch: 6 [36480/60000 (61%)] Loss: 0.954217
Train Epoch: 6 [37120/60000 (62%)] Loss: 0.001000
Train Epoch: 6 [37760/60000 (63%)] Loss: 0.420293
Train Epoch: 6 [38400/60000 (64%)] Loss: 0.954284
Train Epoch: 6 [39040/60000 (65%)] Loss: 0.001000
Train Epoch: 6 [39680/60000 (66%)] Loss: 0.420834
Train Epoch: 6 [40320/60000 (67%)] Loss: 0.954351
Train Epoch: 6 [40960/60000 (68%)] Loss: 0.001000
Train Epoch: 6 [41600/60000 (69%)] Loss: 0.421373
Train Epoch: 6 [42240/60000 (70%)] Loss: 0.954417
Train Epoch: 6 [42880/60000 (71%)] Loss: 0.001000
Train Epoch: 6 [43520/60000 (72%)] Loss: 0.421910
Train Epoch: 6 [44160/60000 (74%)] Loss: 0.954482
Train Epoch: 6 [44800/60000 (75%)] Loss: 0.001000
Train Epoch: 6 [45440/60000 (76%)] Loss: 0.422446
Train Epoch: 6 [46080/60000 (77%)] Loss: 0.954547
Train Epoch: 6 [46720/60000 (78%)] Loss: 0.001000
Train Epoch: 6 [47360/60000 (79%)] Loss: 0.422979
Train Epoch: 6 [48000/60000 (80%)] Loss: 0.954612
Train Epoch: 6 [48640/60000 (81%)] Loss: 0.001000
Train Epoch: 6 [49280/60000 (82%)] Loss: 0.423511
Train Epoch: 6 [49920/60000 (83%)] Loss: 0.954676
Train Epoch: 6 [50560/60000 (84%)] Loss: 0.001000
Train Epoch: 6 [51200/60000 (85%)] Loss: 0.424041
Train Epoch: 6 [51840/60000 (86%)] Loss: 0.954740
Train Epoch: 6 [52480/60000 (87%)] Loss: 0.001000
Train Epoch: 6 [53120/60000 (88%)] Loss: 0.424569
Train Epoch: 6 [53760/60000 (90%)] Loss: 0.954804
Train Epoch: 6 [54400/60000 (91%)] Loss: 0.001000
Train Epoch: 6 [55040/60000 (92%)] Loss: 0.425094
Train Epoch: 6 [55680/60000 (93%)] Loss: 0.954866
Train Epoch: 6 [56320/60000 (94%)] Loss: 0.001000
Train Epoch: 6 [56960/60000 (95%)] Loss: 0.425618
Train Epoch: 6 [57600/60000 (96%)] Loss: 0.954929
Train Epoch: 6 [58240/60000 (97%)] Loss: 0.001000
Train Epoch: 6 [58880/60000 (98%)] Loss: 0.426141
Train Epoch: 6 [59520/60000 (99%)] Loss: 0.954991
Test set: Average loss: 0.0005, Accuracy: 60/10000 (1%)
Train Epoch: 7 [0/60000 (0%)] Loss: 0.417896
Train Epoch: 7 [640/60000 (1%)] Loss: 0.001000
Train Epoch: 7 [1280/60000 (2%)] Loss: 0.425659
Train Epoch: 7 [1920/60000 (3%)] Loss: 0.934186
Train Epoch: 7 [2560/60000 (4%)] Loss: 0.001000
Train Epoch: 7 [3200/60000 (5%)] Loss: 0.426030
Train Epoch: 7 [3840/60000 (6%)] Loss: 0.953661
Train Epoch: 7 [4480/60000 (7%)] Loss: 0.001000
Train Epoch: 7 [5120/60000 (9%)] Loss: 0.426396
Train Epoch: 7 [5760/60000 (10%)] Loss: 0.954812
Train Epoch: 7 [6400/60000 (11%)] Loss: 0.001000
Train Epoch: 7 [7040/60000 (12%)] Loss: 0.426761
Train Epoch: 7 [7680/60000 (13%)] Loss: 0.954925
Train Epoch: 7 [8320/60000 (14%)] Loss: 0.001000
Train Epoch: 7 [8960/60000 (15%)] Loss: 0.427125
Train Epoch: 7 [9600/60000 (16%)] Loss: 0.954972
Train Epoch: 7 [10240/60000 (17%)] Loss: 0.001000
Train Epoch: 7 [10880/60000 (18%)] Loss: 0.427488
Train Epoch: 7 [11520/60000 (19%)] Loss: 0.955015
Train Epoch: 7 [12160/60000 (20%)] Loss: 0.001000
Train Epoch: 7 [12800/60000 (21%)] Loss: 0.427849
Train Epoch: 7 [13440/60000 (22%)] Loss: 0.955057
Train Epoch: 7 [14080/60000 (23%)] Loss: 0.001000
Train Epoch: 7 [14720/60000 (25%)] Loss: 0.428210
Train Epoch: 7 [15360/60000 (26%)] Loss: 0.955099
Train Epoch: 7 [16000/60000 (27%)] Loss: 0.001000
Train Epoch: 7 [16640/60000 (28%)] Loss: 0.428571
Train Epoch: 7 [17280/60000 (29%)] Loss: 0.955141
Train Epoch: 7 [17920/60000 (30%)] Loss: 0.001000
Train Epoch: 7 [18560/60000 (31%)] Loss: 0.428930
Train Epoch: 7 [19200/60000 (32%)] Loss: 0.955183
Train Epoch: 7 [19840/60000 (33%)] Loss: 0.001000
Train Epoch: 7 [20480/60000 (34%)] Loss: 0.429288
Train Epoch: 7 [21120/60000 (35%)] Loss: 0.955225
Train Epoch: 7 [21760/60000 (36%)] Loss: 0.001000
Train Epoch: 7 [22400/60000 (37%)] Loss: 0.429645
Train Epoch: 7 [23040/60000 (38%)] Loss: 0.955266
Train Epoch: 7 [23680/60000 (39%)] Loss: 0.001000
Train Epoch: 7 [24320/60000 (41%)] Loss: 0.430002
Train Epoch: 7 [24960/60000 (42%)] Loss: 0.955308
Train Epoch: 7 [25600/60000 (43%)] Loss: 0.001000
Train Epoch: 7 [26240/60000 (44%)] Loss: 0.430357
Train Epoch: 7 [26880/60000 (45%)] Loss: 0.955349
Train Epoch: 7 [27520/60000 (46%)] Loss: 0.001000
Train Epoch: 7 [28160/60000 (47%)] Loss: 0.430712
Train Epoch: 7 [28800/60000 (48%)] Loss: 0.955390
Train Epoch: 7 [29440/60000 (49%)] Loss: 0.001000
Train Epoch: 7 [30080/60000 (50%)] Loss: 0.431066
Train Epoch: 7 [30720/60000 (51%)] Loss: 0.955430
Train Epoch: 7 [31360/60000 (52%)] Loss: 0.001000
Train Epoch: 7 [32000/60000 (53%)] Loss: 0.431419
Train Epoch: 7 [32640/60000 (54%)] Loss: 0.955470
Train Epoch: 7 [33280/60000 (55%)] Loss: 0.001000
Train Epoch: 7 [33920/60000 (57%)] Loss: 0.431771
Train Epoch: 7 [34560/60000 (58%)] Loss: 0.955511
Train Epoch: 7 [35200/60000 (59%)] Loss: 0.001000
Train Epoch: 7 [35840/60000 (60%)] Loss: 0.432122
Train Epoch: 7 [36480/60000 (61%)] Loss: 0.955551
Train Epoch: 7 [37120/60000 (62%)] Loss: 0.001000
Train Epoch: 7 [37760/60000 (63%)] Loss: 0.432473
Train Epoch: 7 [38400/60000 (64%)] Loss: 0.955590
Train Epoch: 7 [39040/60000 (65%)] Loss: 0.001000
Train Epoch: 7 [39680/60000 (66%)] Loss: 0.432822
Train Epoch: 7 [40320/60000 (67%)] Loss: 0.955630
Train Epoch: 7 [40960/60000 (68%)] Loss: 0.001000
Train Epoch: 7 [41600/60000 (69%)] Loss: 0.433171
Train Epoch: 7 [42240/60000 (70%)] Loss: 0.955669
Train Epoch: 7 [42880/60000 (71%)] Loss: 0.001000
Train Epoch: 7 [43520/60000 (72%)] Loss: 0.433518
Train Epoch: 7 [44160/60000 (74%)] Loss: 0.955709
Train Epoch: 7 [44800/60000 (75%)] Loss: 0.001000
Train Epoch: 7 [45440/60000 (76%)] Loss: 0.433865
Train Epoch: 7 [46080/60000 (77%)] Loss: 0.955748
Train Epoch: 7 [46720/60000 (78%)] Loss: 0.001000
Train Epoch: 7 [47360/60000 (79%)] Loss: 0.434211
Train Epoch: 7 [48000/60000 (80%)] Loss: 0.955786
Train Epoch: 7 [48640/60000 (81%)] Loss: 0.001000
Train Epoch: 7 [49280/60000 (82%)] Loss: 0.434556
Train Epoch: 7 [49920/60000 (83%)] Loss: 0.955825
Train Epoch: 7 [50560/60000 (84%)] Loss: 0.001000
Train Epoch: 7 [51200/60000 (85%)] Loss: 0.434901
Train Epoch: 7 [51840/60000 (86%)] Loss: 0.955863
Train Epoch: 7 [52480/60000 (87%)] Loss: 0.001000
Train Epoch: 7 [53120/60000 (88%)] Loss: 0.435244
Train Epoch: 7 [53760/60000 (90%)] Loss: 0.955901
Train Epoch: 7 [54400/60000 (91%)] Loss: 0.001000
Train Epoch: 7 [55040/60000 (92%)] Loss: 0.435586
Train Epoch: 7 [55680/60000 (93%)] Loss: 0.955939
Train Epoch: 7 [56320/60000 (94%)] Loss: 0.001000
Train Epoch: 7 [56960/60000 (95%)] Loss: 0.435928
Train Epoch: 7 [57600/60000 (96%)] Loss: 0.955977
Train Epoch: 7 [58240/60000 (97%)] Loss: 0.001000
Train Epoch: 7 [58880/60000 (98%)] Loss: 0.436269
Train Epoch: 7 [59520/60000 (99%)] Loss: 0.956015
Test set: Average loss: 0.0005, Accuracy: 40/10000 (0%)
Train Epoch: 8 [0/60000 (0%)] Loss: 0.421050
Train Epoch: 8 [640/60000 (1%)] Loss: 0.001000
Train Epoch: 8 [1280/60000 (2%)] Loss: 0.435900
Train Epoch: 8 [1920/60000 (3%)] Loss: 0.935361
Train Epoch: 8 [2560/60000 (4%)] Loss: 0.001000
Train Epoch: 8 [3200/60000 (5%)] Loss: 0.436142
Train Epoch: 8 [3840/60000 (6%)] Loss: 0.954721
Train Epoch: 8 [4480/60000 (7%)] Loss: 0.001000
Train Epoch: 8 [5120/60000 (9%)] Loss: 0.436381
Train Epoch: 8 [5760/60000 (10%)] Loss: 0.955849
Train Epoch: 8 [6400/60000 (11%)] Loss: 0.001000
Train Epoch: 8 [7040/60000 (12%)] Loss: 0.436619
Train Epoch: 8 [7680/60000 (13%)] Loss: 0.955944
Train Epoch: 8 [8320/60000 (14%)] Loss: 0.001000
Train Epoch: 8 [8960/60000 (15%)] Loss: 0.436857
Train Epoch: 8 [9600/60000 (16%)] Loss: 0.955975
Train Epoch: 8 [10240/60000 (17%)] Loss: 0.001000
Train Epoch: 8 [10880/60000 (18%)] Loss: 0.437095
Train Epoch: 8 [11520/60000 (19%)] Loss: 0.956001
Train Epoch: 8 [12160/60000 (20%)] Loss: 0.001000
Train Epoch: 8 [12800/60000 (21%)] Loss: 0.437332
Train Epoch: 8 [13440/60000 (22%)] Loss: 0.956027
Train Epoch: 8 [14080/60000 (23%)] Loss: 0.001000
Train Epoch: 8 [14720/60000 (25%)] Loss: 0.437568
Train Epoch: 8 [15360/60000 (26%)] Loss: 0.956052
Train Epoch: 8 [16000/60000 (27%)] Loss: 0.001000
Train Epoch: 8 [16640/60000 (28%)] Loss: 0.437804
Train Epoch: 8 [17280/60000 (29%)] Loss: 0.956078
Train Epoch: 8 [17920/60000 (30%)] Loss: 0.001000
Train Epoch: 8 [18560/60000 (31%)] Loss: 0.438040
Train Epoch: 8 [19200/60000 (32%)] Loss: 0.956104
Train Epoch: 8 [19840/60000 (33%)] Loss: 0.001000
Train Epoch: 8 [20480/60000 (34%)] Loss: 0.438276
Train Epoch: 8 [21120/60000 (35%)] Loss: 0.956129
Train Epoch: 8 [21760/60000 (36%)] Loss: 0.001000
Train Epoch: 8 [22400/60000 (37%)] Loss: 0.438511
Train Epoch: 8 [23040/60000 (38%)] Loss: 0.956154
Train Epoch: 8 [23680/60000 (39%)] Loss: 0.001000
Train Epoch: 8 [24320/60000 (41%)] Loss: 0.438745
Train Epoch: 8 [24960/60000 (42%)] Loss: 0.956180
Train Epoch: 8 [25600/60000 (43%)] Loss: 0.001000
Train Epoch: 8 [26240/60000 (44%)] Loss: 0.438979
Train Epoch: 8 [26880/60000 (45%)] Loss: 0.956205
Train Epoch: 8 [27520/60000 (46%)] Loss: 0.001000
Train Epoch: 8 [28160/60000 (47%)] Loss: 0.439213
Train Epoch: 8 [28800/60000 (48%)] Loss: 0.956230
Train Epoch: 8 [29440/60000 (49%)] Loss: 0.001000
Train Epoch: 8 [30080/60000 (50%)] Loss: 0.439447
Train Epoch: 8 [30720/60000 (51%)] Loss: 0.956255
Train Epoch: 8 [31360/60000 (52%)] Loss: 0.001000
Train Epoch: 8 [32000/60000 (53%)] Loss: 0.439680
Train Epoch: 8 [32640/60000 (54%)] Loss: 0.956280
Train Epoch: 8 [33280/60000 (55%)] Loss: 0.001000
Train Epoch: 8 [33920/60000 (57%)] Loss: 0.439912
Train Epoch: 8 [34560/60000 (58%)] Loss: 0.956305
Train Epoch: 8 [35200/60000 (59%)] Loss: 0.001000
Train Epoch: 8 [35840/60000 (60%)] Loss: 0.440144
Train Epoch: 8 [36480/60000 (61%)] Loss: 0.956329
Train Epoch: 8 [37120/60000 (62%)] Loss: 0.001000
Train Epoch: 8 [37760/60000 (63%)] Loss: 0.440376
Train Epoch: 8 [38400/60000 (64%)] Loss: 0.956354
Train Epoch: 8 [39040/60000 (65%)] Loss: 0.001000
Train Epoch: 8 [39680/60000 (66%)] Loss: 0.440607
Train Epoch: 8 [40320/60000 (67%)] Loss: 0.956379
Train Epoch: 8 [40960/60000 (68%)] Loss: 0.001000
Train Epoch: 8 [41600/60000 (69%)] Loss: 0.440838
Train Epoch: 8 [42240/60000 (70%)] Loss: 0.956403
Train Epoch: 8 [42880/60000 (71%)] Loss: 0.001000
Train Epoch: 8 [43520/60000 (72%)] Loss: 0.441069
Train Epoch: 8 [44160/60000 (74%)] Loss: 0.956428
Train Epoch: 8 [44800/60000 (75%)] Loss: 0.001000
Train Epoch: 8 [45440/60000 (76%)] Loss: 0.441299
Train Epoch: 8 [46080/60000 (77%)] Loss: 0.956452
Train Epoch: 8 [46720/60000 (78%)] Loss: 0.001000
Train Epoch: 8 [47360/60000 (79%)] Loss: 0.441529
Train Epoch: 8 [48000/60000 (80%)] Loss: 0.956476
Train Epoch: 8 [48640/60000 (81%)] Loss: 0.001000
Train Epoch: 8 [49280/60000 (82%)] Loss: 0.441758
Train Epoch: 8 [49920/60000 (83%)] Loss: 0.956500
Train Epoch: 8 [50560/60000 (84%)] Loss: 0.001000
Train Epoch: 8 [51200/60000 (85%)] Loss: 0.441987
Train Epoch: 8 [51840/60000 (86%)] Loss: 0.956524
Train Epoch: 8 [52480/60000 (87%)] Loss: 0.001000
Train Epoch: 8 [53120/60000 (88%)] Loss: 0.442215
Train Epoch: 8 [53760/60000 (90%)] Loss: 0.956548
Train Epoch: 8 [54400/60000 (91%)] Loss: 0.001000
Train Epoch: 8 [55040/60000 (92%)] Loss: 0.442444
Train Epoch: 8 [55680/60000 (93%)] Loss: 0.956571
Train Epoch: 8 [56320/60000 (94%)] Loss: 0.001000
Train Epoch: 8 [56960/60000 (95%)] Loss: 0.442671
Train Epoch: 8 [57600/60000 (96%)] Loss: 0.956595
Train Epoch: 8 [58240/60000 (97%)] Loss: 0.001000
Train Epoch: 8 [58880/60000 (98%)] Loss: 0.442899
Train Epoch: 8 [59520/60000 (99%)] Loss: 0.956619
Test set: Average loss: 0.0005, Accuracy: 90/10000 (1%)
Train Epoch: 9 [0/60000 (0%)] Loss: 0.422959
Train Epoch: 9 [640/60000 (1%)] Loss: 0.001000
Train Epoch: 9 [1280/60000 (2%)] Loss: 0.442625
Train Epoch: 9 [1920/60000 (3%)] Loss: 0.936073
Train Epoch: 9 [2560/60000 (4%)] Loss: 0.001000
Train Epoch: 9 [3200/60000 (5%)] Loss: 0.442787
Train Epoch: 9 [3840/60000 (6%)] Loss: 0.955359
Train Epoch: 9 [4480/60000 (7%)] Loss: 0.001000
Train Epoch: 9 [5120/60000 (9%)] Loss: 0.442946
Train Epoch: 9 [5760/60000 (10%)] Loss: 0.956473
Train Epoch: 9 [6400/60000 (11%)] Loss: 0.001000
Train Epoch: 9 [7040/60000 (12%)] Loss: 0.443105
Train Epoch: 9 [7680/60000 (13%)] Loss: 0.956558
Train Epoch: 9 [8320/60000 (14%)] Loss: 0.001000
Train Epoch: 9 [8960/60000 (15%)] Loss: 0.443264
Train Epoch: 9 [9600/60000 (16%)] Loss: 0.956578
Train Epoch: 9 [10240/60000 (17%)] Loss: 0.001000
Train Epoch: 9 [10880/60000 (18%)] Loss: 0.443423
Train Epoch: 9 [11520/60000 (19%)] Loss: 0.956595
Train Epoch: 9 [12160/60000 (20%)] Loss: 0.001000
Train Epoch: 9 [12800/60000 (21%)] Loss: 0.443581
Train Epoch: 9 [13440/60000 (22%)] Loss: 0.956611
Train Epoch: 9 [14080/60000 (23%)] Loss: 0.001000
Train Epoch: 9 [14720/60000 (25%)] Loss: 0.443740
Train Epoch: 9 [15360/60000 (26%)] Loss: 0.956627
Train Epoch: 9 [16000/60000 (27%)] Loss: 0.001000
Train Epoch: 9 [16640/60000 (28%)] Loss: 0.443898
Train Epoch: 9 [17280/60000 (29%)] Loss: 0.956644
Train Epoch: 9 [17920/60000 (30%)] Loss: 0.001000
Train Epoch: 9 [18560/60000 (31%)] Loss: 0.444056
Train Epoch: 9 [19200/60000 (32%)] Loss: 0.956660
Train Epoch: 9 [19840/60000 (33%)] Loss: 0.001000
Train Epoch: 9 [20480/60000 (34%)] Loss: 0.444213
Train Epoch: 9 [21120/60000 (35%)] Loss: 0.956676
Train Epoch: 9 [21760/60000 (36%)] Loss: 0.001000
Train Epoch: 9 [22400/60000 (37%)] Loss: 0.444371
Train Epoch: 9 [23040/60000 (38%)] Loss: 0.956692
Train Epoch: 9 [23680/60000 (39%)] Loss: 0.001000
Train Epoch: 9 [24320/60000 (41%)] Loss: 0.444528
Train Epoch: 9 [24960/60000 (42%)] Loss: 0.956708
Train Epoch: 9 [25600/60000 (43%)] Loss: 0.001000
Train Epoch: 9 [26240/60000 (44%)] Loss: 0.444685
Train Epoch: 9 [26880/60000 (45%)] Loss: 0.956724
Train Epoch: 9 [27520/60000 (46%)] Loss: 0.001000
Train Epoch: 9 [28160/60000 (47%)] Loss: 0.444842
Train Epoch: 9 [28800/60000 (48%)] Loss: 0.956740
Train Epoch: 9 [29440/60000 (49%)] Loss: 0.001000
Train Epoch: 9 [30080/60000 (50%)] Loss: 0.444999
Train Epoch: 9 [30720/60000 (51%)] Loss: 0.956756
Train Epoch: 9 [31360/60000 (52%)] Loss: 0.001000
Train Epoch: 9 [32000/60000 (53%)] Loss: 0.445155
Train Epoch: 9 [32640/60000 (54%)] Loss: 0.956772
Train Epoch: 9 [33280/60000 (55%)] Loss: 0.001000
Train Epoch: 9 [33920/60000 (57%)] Loss: 0.445312
Train Epoch: 9 [34560/60000 (58%)] Loss: 0.956788
Train Epoch: 9 [35200/60000 (59%)] Loss: 0.001000
Train Epoch: 9 [35840/60000 (60%)] Loss: 0.445468
Train Epoch: 9 [36480/60000 (61%)] Loss: 0.956804
Train Epoch: 9 [37120/60000 (62%)] Loss: 0.001000
Train Epoch: 9 [37760/60000 (63%)] Loss: 0.445624
Train Epoch: 9 [38400/60000 (64%)] Loss: 0.956819
Train Epoch: 9 [39040/60000 (65%)] Loss: 0.001000
Train Epoch: 9 [39680/60000 (66%)] Loss: 0.445780
Train Epoch: 9 [40320/60000 (67%)] Loss: 0.956835
Train Epoch: 9 [40960/60000 (68%)] Loss: 0.001000
Train Epoch: 9 [41600/60000 (69%)] Loss: 0.445935
Train Epoch: 9 [42240/60000 (70%)] Loss: 0.956851
Train Epoch: 9 [42880/60000 (71%)] Loss: 0.001000
Train Epoch: 9 [43520/60000 (72%)] Loss: 0.446091
Train Epoch: 9 [44160/60000 (74%)] Loss: 0.956866
Train Epoch: 9 [44800/60000 (75%)] Loss: 0.001000
Train Epoch: 9 [45440/60000 (76%)] Loss: 0.446246
Train Epoch: 9 [46080/60000 (77%)] Loss: 0.956882
Train Epoch: 9 [46720/60000 (78%)] Loss: 0.001000
Train Epoch: 9 [47360/60000 (79%)] Loss: 0.446401
Train Epoch: 9 [48000/60000 (80%)] Loss: 0.956897
Train Epoch: 9 [48640/60000 (81%)] Loss: 0.001000
Train Epoch: 9 [49280/60000 (82%)] Loss: 0.446556
Train Epoch: 9 [49920/60000 (83%)] Loss: 0.956913
Train Epoch: 9 [50560/60000 (84%)] Loss: 0.001000
Train Epoch: 9 [51200/60000 (85%)] Loss: 0.446710
Train Epoch: 9 [51840/60000 (86%)] Loss: 0.956928
Train Epoch: 9 [52480/60000 (87%)] Loss: 0.001000
Train Epoch: 9 [53120/60000 (88%)] Loss: 0.446865
Train Epoch: 9 [53760/60000 (90%)] Loss: 0.956943
Train Epoch: 9 [54400/60000 (91%)] Loss: 0.001000
Train Epoch: 9 [55040/60000 (92%)] Loss: 0.447019
Train Epoch: 9 [55680/60000 (93%)] Loss: 0.956959
Train Epoch: 9 [56320/60000 (94%)] Loss: 0.001000
Train Epoch: 9 [56960/60000 (95%)] Loss: 0.447173
Train Epoch: 9 [57600/60000 (96%)] Loss: 0.956974
Train Epoch: 9 [58240/60000 (97%)] Loss: 0.001000
Train Epoch: 9 [58880/60000 (98%)] Loss: 0.447327
Train Epoch: 9 [59520/60000 (99%)] Loss: 0.956989
Test set: Average loss: 0.0005, Accuracy: 20/10000 (0%)
Train Epoch: 10 [0/60000 (0%)] Loss: 0.424166
Train Epoch: 10 [640/60000 (1%)] Loss: 0.001000
Train Epoch: 10 [1280/60000 (2%)] Loss: 0.447129
Train Epoch: 10 [1920/60000 (3%)] Loss: 0.936521
Train Epoch: 10 [2560/60000 (4%)] Loss: 0.001000
Train Epoch: 10 [3200/60000 (5%)] Loss: 0.447238
Train Epoch: 10 [3840/60000 (6%)] Loss: 0.955756
Train Epoch: 10 [4480/60000 (7%)] Loss: 0.001000
Train Epoch: 10 [5120/60000 (9%)] Loss: 0.447346
Train Epoch: 10 [5760/60000 (10%)] Loss: 0.956862
Train Epoch: 10 [6400/60000 (11%)] Loss: 0.001000
Train Epoch: 10 [7040/60000 (12%)] Loss: 0.447454
Train Epoch: 10 [7680/60000 (13%)] Loss: 0.956940
Train Epoch: 10 [8320/60000 (14%)] Loss: 0.001000
Train Epoch: 10 [8960/60000 (15%)] Loss: 0.447561
Train Epoch: 10 [9600/60000 (16%)] Loss: 0.956955
Train Epoch: 10 [10240/60000 (17%)] Loss: 0.001000
Train Epoch: 10 [10880/60000 (18%)] Loss: 0.447669
Train Epoch: 10 [11520/60000 (19%)] Loss: 0.956966
Train Epoch: 10 [12160/60000 (20%)] Loss: 0.001000
Train Epoch: 10 [12800/60000 (21%)] Loss: 0.447776
Train Epoch: 10 [13440/60000 (22%)] Loss: 0.956977
Train Epoch: 10 [14080/60000 (23%)] Loss: 0.001000
Train Epoch: 10 [14720/60000 (25%)] Loss: 0.447884
Train Epoch: 10 [15360/60000 (26%)] Loss: 0.956987
Train Epoch: 10 [16000/60000 (27%)] Loss: 0.001000
Train Epoch: 10 [16640/60000 (28%)] Loss: 0.447991
Train Epoch: 10 [17280/60000 (29%)] Loss: 0.956998
Train Epoch: 10 [17920/60000 (30%)] Loss: 0.001000
Train Epoch: 10 [18560/60000 (31%)] Loss: 0.448098
Train Epoch: 10 [19200/60000 (32%)] Loss: 0.957009
Train Epoch: 10 [19840/60000 (33%)] Loss: 0.001000
Train Epoch: 10 [20480/60000 (34%)] Loss: 0.448205
Train Epoch: 10 [21120/60000 (35%)] Loss: 0.957019
Train Epoch: 10 [21760/60000 (36%)] Loss: 0.001000
Train Epoch: 10 [22400/60000 (37%)] Loss: 0.448312
Train Epoch: 10 [23040/60000 (38%)] Loss: 0.957030
Train Epoch: 10 [23680/60000 (39%)] Loss: 0.001000
Train Epoch: 10 [24320/60000 (41%)] Loss: 0.448419
Train Epoch: 10 [24960/60000 (42%)] Loss: 0.957040
Train Epoch: 10 [25600/60000 (43%)] Loss: 0.001000
Train Epoch: 10 [26240/60000 (44%)] Loss: 0.448526
Train Epoch: 10 [26880/60000 (45%)] Loss: 0.957051
Train Epoch: 10 [27520/60000 (46%)] Loss: 0.001000
Train Epoch: 10 [28160/60000 (47%)] Loss: 0.448633
Train Epoch: 10 [28800/60000 (48%)] Loss: 0.957061
Train Epoch: 10 [29440/60000 (49%)] Loss: 0.001000
Train Epoch: 10 [30080/60000 (50%)] Loss: 0.448739
Train Epoch: 10 [30720/60000 (51%)] Loss: 0.957071
Train Epoch: 10 [31360/60000 (52%)] Loss: 0.001000
Train Epoch: 10 [32000/60000 (53%)] Loss: 0.448845
Train Epoch: 10 [32640/60000 (54%)] Loss: 0.957082
Train Epoch: 10 [33280/60000 (55%)] Loss: 0.001000
Train Epoch: 10 [33920/60000 (57%)] Loss: 0.448952
Train Epoch: 10 [34560/60000 (58%)] Loss: 0.957092
Train Epoch: 10 [35200/60000 (59%)] Loss: 0.001000
Train Epoch: 10 [35840/60000 (60%)] Loss: 0.449058
Train Epoch: 10 [36480/60000 (61%)] Loss: 0.957102
Train Epoch: 10 [37120/60000 (62%)] Loss: 0.001000
Train Epoch: 10 [37760/60000 (63%)] Loss: 0.449164
Train Epoch: 10 [38400/60000 (64%)] Loss: 0.957112
Train Epoch: 10 [39040/60000 (65%)] Loss: 0.001000
Train Epoch: 10 [39680/60000 (66%)] Loss: 0.449271
Train Epoch: 10 [40320/60000 (67%)] Loss: 0.957123
Train Epoch: 10 [40960/60000 (68%)] Loss: 0.001000
Train Epoch: 10 [41600/60000 (69%)] Loss: 0.449377
Train Epoch: 10 [42240/60000 (70%)] Loss: 0.957133
Train Epoch: 10 [42880/60000 (71%)] Loss: 0.001000
Train Epoch: 10 [43520/60000 (72%)] Loss: 0.449483
Train Epoch: 10 [44160/60000 (74%)] Loss: 0.957143
Train Epoch: 10 [44800/60000 (75%)] Loss: 0.001000
Train Epoch: 10 [45440/60000 (76%)] Loss: 0.449589
Train Epoch: 10 [46080/60000 (77%)] Loss: 0.957154
Train Epoch: 10 [46720/60000 (78%)] Loss: 0.001000
Train Epoch: 10 [47360/60000 (79%)] Loss: 0.449694
Train Epoch: 10 [48000/60000 (80%)] Loss: 0.957164
Train Epoch: 10 [48640/60000 (81%)] Loss: 0.001000
Train Epoch: 10 [49280/60000 (82%)] Loss: 0.449800
Train Epoch: 10 [49920/60000 (83%)] Loss: 0.957174
Train Epoch: 10 [50560/60000 (84%)] Loss: 0.001000
Train Epoch: 10 [51200/60000 (85%)] Loss: 0.449905
Train Epoch: 10 [51840/60000 (86%)] Loss: 0.957184
Train Epoch: 10 [52480/60000 (87%)] Loss: 0.001000
Train Epoch: 10 [53120/60000 (88%)] Loss: 0.450011
Train Epoch: 10 [53760/60000 (90%)] Loss: 0.957194
Train Epoch: 10 [54400/60000 (91%)] Loss: 0.001000
Train Epoch: 10 [55040/60000 (92%)] Loss: 0.450116
Train Epoch: 10 [55680/60000 (93%)] Loss: 0.957204
Train Epoch: 10 [56320/60000 (94%)] Loss: 0.001000
Train Epoch: 10 [56960/60000 (95%)] Loss: 0.450222
Train Epoch: 10 [57600/60000 (96%)] Loss: 0.957214
Train Epoch: 10 [58240/60000 (97%)] Loss: 0.001000
Train Epoch: 10 [58880/60000 (98%)] Loss: 0.450327
Train Epoch: 10 [59520/60000 (99%)] Loss: 0.957225
Test set: Average loss: 0.0005, Accuracy: 30/10000 (0%)
Train Epoch: 11 [0/60000 (0%)] Loss: 0.424953
Train Epoch: 11 [640/60000 (1%)] Loss: 0.001000
Train Epoch: 11 [1280/60000 (2%)] Loss: 0.450185
Train Epoch: 11 [1920/60000 (3%)] Loss: 0.936811
Train Epoch: 11 [2560/60000 (4%)] Loss: 0.001000
Train Epoch: 11 [3200/60000 (5%)] Loss: 0.450260
Train Epoch: 11 [3840/60000 (6%)] Loss: 0.956012
Train Epoch: 11 [4480/60000 (7%)] Loss: 0.001000
Train Epoch: 11 [5120/60000 (9%)] Loss: 0.450334
Train Epoch: 11 [5760/60000 (10%)] Loss: 0.957112
Train Epoch: 11 [6400/60000 (11%)] Loss: 0.001000
Train Epoch: 11 [7040/60000 (12%)] Loss: 0.450407
Train Epoch: 11 [7680/60000 (13%)] Loss: 0.957187
Train Epoch: 11 [8320/60000 (14%)] Loss: 0.001000
Train Epoch: 11 [8960/60000 (15%)] Loss: 0.450481
Train Epoch: 11 [9600/60000 (16%)] Loss: 0.957198
Train Epoch: 11 [10240/60000 (17%)] Loss: 0.001000
Train Epoch: 11 [10880/60000 (18%)] Loss: 0.450554
Train Epoch: 11 [11520/60000 (19%)] Loss: 0.957205
Train Epoch: 11 [12160/60000 (20%)] Loss: 0.001000
Train Epoch: 11 [12800/60000 (21%)] Loss: 0.450628
Train Epoch: 11 [13440/60000 (22%)] Loss: 0.957212
Train Epoch: 11 [14080/60000 (23%)] Loss: 0.001000
Train Epoch: 11 [14720/60000 (25%)] Loss: 0.450702
Train Epoch: 11 [15360/60000 (26%)] Loss: 0.957219
Train Epoch: 11 [16000/60000 (27%)] Loss: 0.001000
Train Epoch: 11 [16640/60000 (28%)] Loss: 0.450775
Train Epoch: 11 [17280/60000 (29%)] Loss: 0.957226
Train Epoch: 11 [17920/60000 (30%)] Loss: 0.001000
Train Epoch: 11 [18560/60000 (31%)] Loss: 0.450848
Train Epoch: 11 [19200/60000 (32%)] Loss: 0.957233
Train Epoch: 11 [19840/60000 (33%)] Loss: 0.001000
Train Epoch: 11 [20480/60000 (34%)] Loss: 0.450922
Train Epoch: 11 [21120/60000 (35%)] Loss: 0.957240
Train Epoch: 11 [21760/60000 (36%)] Loss: 0.001000
Train Epoch: 11 [22400/60000 (37%)] Loss: 0.450995
Train Epoch: 11 [23040/60000 (38%)] Loss: 0.957247
Train Epoch: 11 [23680/60000 (39%)] Loss: 0.001000
Train Epoch: 11 [24320/60000 (41%)] Loss: 0.451068
Train Epoch: 11 [24960/60000 (42%)] Loss: 0.957254
Train Epoch: 11 [25600/60000 (43%)] Loss: 0.001000
Train Epoch: 11 [26240/60000 (44%)] Loss: 0.451141
Train Epoch: 11 [26880/60000 (45%)] Loss: 0.957261
Train Epoch: 11 [27520/60000 (46%)] Loss: 0.001000
Train Epoch: 11 [28160/60000 (47%)] Loss: 0.451214
Train Epoch: 11 [28800/60000 (48%)] Loss: 0.957268
Train Epoch: 11 [29440/60000 (49%)] Loss: 0.001000
Train Epoch: 11 [30080/60000 (50%)] Loss: 0.451288
Train Epoch: 11 [30720/60000 (51%)] Loss: 0.957275
Train Epoch: 11 [31360/60000 (52%)] Loss: 0.001000
Train Epoch: 11 [32000/60000 (53%)] Loss: 0.451361
Train Epoch: 11 [32640/60000 (54%)] Loss: 0.957282
Train Epoch: 11 [33280/60000 (55%)] Loss: 0.001000
Train Epoch: 11 [33920/60000 (57%)] Loss: 0.451434
Train Epoch: 11 [34560/60000 (58%)] Loss: 0.957289
Train Epoch: 11 [35200/60000 (59%)] Loss: 0.001000
Train Epoch: 11 [35840/60000 (60%)] Loss: 0.451507
Train Epoch: 11 [36480/60000 (61%)] Loss: 0.957296
Train Epoch: 11 [37120/60000 (62%)] Loss: 0.001000
Train Epoch: 11 [37760/60000 (63%)] Loss: 0.451579
Train Epoch: 11 [38400/60000 (64%)] Loss: 0.957302
Train Epoch: 11 [39040/60000 (65%)] Loss: 0.001000
Train Epoch: 11 [39680/60000 (66%)] Loss: 0.451652
Train Epoch: 11 [40320/60000 (67%)] Loss: 0.957309
Train Epoch: 11 [40960/60000 (68%)] Loss: 0.001000
Train Epoch: 11 [41600/60000 (69%)] Loss: 0.451725
Train Epoch: 11 [42240/60000 (70%)] Loss: 0.957316
Train Epoch: 11 [42880/60000 (71%)] Loss: 0.001000
Train Epoch: 11 [43520/60000 (72%)] Loss: 0.451798
Train Epoch: 11 [44160/60000 (74%)] Loss: 0.957323
Train Epoch: 11 [44800/60000 (75%)] Loss: 0.001000
Train Epoch: 11 [45440/60000 (76%)] Loss: 0.451871
Train Epoch: 11 [46080/60000 (77%)] Loss: 0.957330
Train Epoch: 11 [46720/60000 (78%)] Loss: 0.001000
Train Epoch: 11 [47360/60000 (79%)] Loss: 0.451944
Train Epoch: 11 [48000/60000 (80%)] Loss: 0.957337
Train Epoch: 11 [48640/60000 (81%)] Loss: 0.001000
Train Epoch: 11 [49280/60000 (82%)] Loss: 0.452016
Train Epoch: 11 [49920/60000 (83%)] Loss: 0.957343
Train Epoch: 11 [50560/60000 (84%)] Loss: 0.001000
Train Epoch: 11 [51200/60000 (85%)] Loss: 0.452089
Train Epoch: 11 [51840/60000 (86%)] Loss: 0.957350
Train Epoch: 11 [52480/60000 (87%)] Loss: 0.001000
Train Epoch: 11 [53120/60000 (88%)] Loss: 0.452161
Train Epoch: 11 [53760/60000 (90%)] Loss: 0.957357
Train Epoch: 11 [54400/60000 (91%)] Loss: 0.001000
Train Epoch: 11 [55040/60000 (92%)] Loss: 0.452234
Train Epoch: 11 [55680/60000 (93%)] Loss: 0.957364
Train Epoch: 11 [56320/60000 (94%)] Loss: 0.001000
Train Epoch: 11 [56960/60000 (95%)] Loss: 0.452307
Train Epoch: 11 [57600/60000 (96%)] Loss: 0.957371
Train Epoch: 11 [58240/60000 (97%)] Loss: 0.001000
Train Epoch: 11 [58880/60000 (98%)] Loss: 0.452379
Train Epoch: 11 [59520/60000 (99%)] Loss: 0.957377
Test set: Average loss: 0.0005, Accuracy: 70/10000 (1%)
Train Epoch: 12 [0/60000 (0%)] Loss: 0.425477
Train Epoch: 12 [640/60000 (1%)] Loss: 0.001000
Train Epoch: 12 [1280/60000 (2%)] Loss: 0.452278
Train Epoch: 12 [1920/60000 (3%)] Loss: 0.937002
Train Epoch: 12 [2560/60000 (4%)] Loss: 0.001000
Train Epoch: 12 [3200/60000 (5%)] Loss: 0.452330
Train Epoch: 12 [3840/60000 (6%)] Loss: 0.956179
Train Epoch: 12 [4480/60000 (7%)] Loss: 0.001000
Train Epoch: 12 [5120/60000 (9%)] Loss: 0.452381
Train Epoch: 12 [5760/60000 (10%)] Loss: 0.957276
Train Epoch: 12 [6400/60000 (11%)] Loss: 0.001000
Train Epoch: 12 [7040/60000 (12%)] Loss: 0.452431
Train Epoch: 12 [7680/60000 (13%)] Loss: 0.957349
Train Epoch: 12 [8320/60000 (14%)] Loss: 0.001000
Train Epoch: 12 [8960/60000 (15%)] Loss: 0.452482
Train Epoch: 12 [9600/60000 (16%)] Loss: 0.957357
Train Epoch: 12 [10240/60000 (17%)] Loss: 0.001000
Train Epoch: 12 [10880/60000 (18%)] Loss: 0.452533
Train Epoch: 12 [11520/60000 (19%)] Loss: 0.957362
Train Epoch: 12 [12160/60000 (20%)] Loss: 0.001000
Train Epoch: 12 [12800/60000 (21%)] Loss: 0.452583
Train Epoch: 12 [13440/60000 (22%)] Loss: 0.957367
Train Epoch: 12 [14080/60000 (23%)] Loss: 0.001000
Train Epoch: 12 [14720/60000 (25%)] Loss: 0.452634
Train Epoch: 12 [15360/60000 (26%)] Loss: 0.957372
Train Epoch: 12 [16000/60000 (27%)] Loss: 0.001000
Train Epoch: 12 [16640/60000 (28%)] Loss: 0.452685
Train Epoch: 12 [17280/60000 (29%)] Loss: 0.957376
Train Epoch: 12 [17920/60000 (30%)] Loss: 0.001000
Train Epoch: 12 [18560/60000 (31%)] Loss: 0.452735
Train Epoch: 12 [19200/60000 (32%)] Loss: 0.957381
Train Epoch: 12 [19840/60000 (33%)] Loss: 0.001000
Train Epoch: 12 [20480/60000 (34%)] Loss: 0.452786
Train Epoch: 12 [21120/60000 (35%)] Loss: 0.957386
Train Epoch: 12 [21760/60000 (36%)] Loss: 0.001000
Train Epoch: 12 [22400/60000 (37%)] Loss: 0.452837
Train Epoch: 12 [23040/60000 (38%)] Loss: 0.957391
Train Epoch: 12 [23680/60000 (39%)] Loss: 0.001000
Train Epoch: 12 [24320/60000 (41%)] Loss: 0.452887
Train Epoch: 12 [24960/60000 (42%)] Loss: 0.957395
Train Epoch: 12 [25600/60000 (43%)] Loss: 0.001000
Train Epoch: 12 [26240/60000 (44%)] Loss: 0.452937
Train Epoch: 12 [26880/60000 (45%)] Loss: 0.957400
Train Epoch: 12 [27520/60000 (46%)] Loss: 0.001000
Train Epoch: 12 [28160/60000 (47%)] Loss: 0.452988
Train Epoch: 12 [28800/60000 (48%)] Loss: 0.957404
Train Epoch: 12 [29440/60000 (49%)] Loss: 0.001000
Train Epoch: 12 [30080/60000 (50%)] Loss: 0.453038
Train Epoch: 12 [30720/60000 (51%)] Loss: 0.957409
Train Epoch: 12 [31360/60000 (52%)] Loss: 0.001000
Train Epoch: 12 [32000/60000 (53%)] Loss: 0.453088
Train Epoch: 12 [32640/60000 (54%)] Loss: 0.957414
Train Epoch: 12 [33280/60000 (55%)] Loss: 0.001000
Train Epoch: 12 [33920/60000 (57%)] Loss: 0.453139
Train Epoch: 12 [34560/60000 (58%)] Loss: 0.957418
Train Epoch: 12 [35200/60000 (59%)] Loss: 0.001000
Train Epoch: 12 [35840/60000 (60%)] Loss: 0.453189
Train Epoch: 12 [36480/60000 (61%)] Loss: 0.957423
Train Epoch: 12 [37120/60000 (62%)] Loss: 0.001000
Train Epoch: 12 [37760/60000 (63%)] Loss: 0.453239
Train Epoch: 12 [38400/60000 (64%)] Loss: 0.957428
Train Epoch: 12 [39040/60000 (65%)] Loss: 0.001000
Train Epoch: 12 [39680/60000 (66%)] Loss: 0.453290
Train Epoch: 12 [40320/60000 (67%)] Loss: 0.957433
Train Epoch: 12 [40960/60000 (68%)] Loss: 0.001000
Train Epoch: 12 [41600/60000 (69%)] Loss: 0.453340
Train Epoch: 12 [42240/60000 (70%)] Loss: 0.957437
Train Epoch: 12 [42880/60000 (71%)] Loss: 0.001000
Train Epoch: 12 [43520/60000 (72%)] Loss: 0.453391
Train Epoch: 12 [44160/60000 (74%)] Loss: 0.957442
Train Epoch: 12 [44800/60000 (75%)] Loss: 0.001000
Train Epoch: 12 [45440/60000 (76%)] Loss: 0.453441
Train Epoch: 12 [46080/60000 (77%)] Loss: 0.957447
Train Epoch: 12 [46720/60000 (78%)] Loss: 0.001000
Train Epoch: 12 [47360/60000 (79%)] Loss: 0.453491
Train Epoch: 12 [48000/60000 (80%)] Loss: 0.957451
Train Epoch: 12 [48640/60000 (81%)] Loss: 0.001000
Train Epoch: 12 [49280/60000 (82%)] Loss: 0.453542
Train Epoch: 12 [49920/60000 (83%)] Loss: 0.957456
Train Epoch: 12 [50560/60000 (84%)] Loss: 0.001000
Train Epoch: 12 [51200/60000 (85%)] Loss: 0.453592
Train Epoch: 12 [51840/60000 (86%)] Loss: 0.957461
Train Epoch: 12 [52480/60000 (87%)] Loss: 0.001000
Train Epoch: 12 [53120/60000 (88%)] Loss: 0.453642
Train Epoch: 12 [53760/60000 (90%)] Loss: 0.957465
Train Epoch: 12 [54400/60000 (91%)] Loss: 0.001000
Train Epoch: 12 [55040/60000 (92%)] Loss: 0.453692
Train Epoch: 12 [55680/60000 (93%)] Loss: 0.957470
Train Epoch: 12 [56320/60000 (94%)] Loss: 0.001000
Train Epoch: 12 [56960/60000 (95%)] Loss: 0.453742
Train Epoch: 12 [57600/60000 (96%)] Loss: 0.957474
Train Epoch: 12 [58240/60000 (97%)] Loss: 0.001000
Train Epoch: 12 [58880/60000 (98%)] Loss: 0.453792
Train Epoch: 12 [59520/60000 (99%)] Loss: 0.957479
Test set: Average loss: 0.0005, Accuracy: 20/10000 (0%)
Train Epoch: 13 [0/60000 (0%)] Loss: 0.425831
Train Epoch: 13 [640/60000 (1%)] Loss: 0.001000
Train Epoch: 13 [1280/60000 (2%)] Loss: 0.453721
Train Epoch: 13 [1920/60000 (3%)] Loss: 0.937131
Train Epoch: 13 [2560/60000 (4%)] Loss: 0.001000
Train Epoch: 13 [3200/60000 (5%)] Loss: 0.453757
Train Epoch: 13 [3840/60000 (6%)] Loss: 0.956292
Train Epoch: 13 [4480/60000 (7%)] Loss: 0.001000
Train Epoch: 13 [5120/60000 (9%)] Loss: 0.453792
Train Epoch: 13 [5760/60000 (10%)] Loss: 0.957386
Train Epoch: 13 [6400/60000 (11%)] Loss: 0.001000
Train Epoch: 13 [7040/60000 (12%)] Loss: 0.453827
Train Epoch: 13 [7680/60000 (13%)] Loss: 0.957457
Train Epoch: 13 [8320/60000 (14%)] Loss: 0.001000
Train Epoch: 13 [8960/60000 (15%)] Loss: 0.453862
Train Epoch: 13 [9600/60000 (16%)] Loss: 0.957464
Train Epoch: 13 [10240/60000 (17%)] Loss: 0.001000
Train Epoch: 13 [10880/60000 (18%)] Loss: 0.453897
Train Epoch: 13 [11520/60000 (19%)] Loss: 0.957468
Train Epoch: 13 [12160/60000 (20%)] Loss: 0.001000
Train Epoch: 13 [12800/60000 (21%)] Loss: 0.453932
Train Epoch: 13 [13440/60000 (22%)] Loss: 0.957471
Train Epoch: 13 [14080/60000 (23%)] Loss: 0.001000
Train Epoch: 13 [14720/60000 (25%)] Loss: 0.453967
Train Epoch: 13 [15360/60000 (26%)] Loss: 0.957474
Train Epoch: 13 [16000/60000 (27%)] Loss: 0.001000
Train Epoch: 13 [16640/60000 (28%)] Loss: 0.454002
Train Epoch: 13 [17280/60000 (29%)] Loss: 0.957477
Train Epoch: 13 [17920/60000 (30%)] Loss: 0.001000
Train Epoch: 13 [18560/60000 (31%)] Loss: 0.454038
Train Epoch: 13 [19200/60000 (32%)] Loss: 0.957480
Train Epoch: 13 [19840/60000 (33%)] Loss: 0.001000
Train Epoch: 13 [20480/60000 (34%)] Loss: 0.454073
Train Epoch: 13 [21120/60000 (35%)] Loss: 0.957484
Train Epoch: 13 [21760/60000 (36%)] Loss: 0.001000
Train Epoch: 13 [22400/60000 (37%)] Loss: 0.454108
Train Epoch: 13 [23040/60000 (38%)] Loss: 0.957487
Train Epoch: 13 [23680/60000 (39%)] Loss: 0.001000
Train Epoch: 13 [24320/60000 (41%)] Loss: 0.454143
Train Epoch: 13 [24960/60000 (42%)] Loss: 0.957490
Train Epoch: 13 [25600/60000 (43%)] Loss: 0.001000
Train Epoch: 13 [26240/60000 (44%)] Loss: 0.454178
Train Epoch: 13 [26880/60000 (45%)] Loss: 0.957493
Train Epoch: 13 [27520/60000 (46%)] Loss: 0.001000
Train Epoch: 13 [28160/60000 (47%)] Loss: 0.454213
Train Epoch: 13 [28800/60000 (48%)] Loss: 0.957496
Train Epoch: 13 [29440/60000 (49%)] Loss: 0.001000
Train Epoch: 13 [30080/60000 (50%)] Loss: 0.454248
Train Epoch: 13 [30720/60000 (51%)] Loss: 0.957500
Train Epoch: 13 [31360/60000 (52%)] Loss: 0.001000
Train Epoch: 13 [32000/60000 (53%)] Loss: 0.454283
Train Epoch: 13 [32640/60000 (54%)] Loss: 0.957503
Train Epoch: 13 [33280/60000 (55%)] Loss: 0.001000
Train Epoch: 13 [33920/60000 (57%)] Loss: 0.454318
Train Epoch: 13 [34560/60000 (58%)] Loss: 0.957506
Train Epoch: 13 [35200/60000 (59%)] Loss: 0.001000
Train Epoch: 13 [35840/60000 (60%)] Loss: 0.454353
Train Epoch: 13 [36480/60000 (61%)] Loss: 0.957509
Train Epoch: 13 [37120/60000 (62%)] Loss: 0.001000
Train Epoch: 13 [37760/60000 (63%)] Loss: 0.454388
Train Epoch: 13 [38400/60000 (64%)] Loss: 0.957512
Train Epoch: 13 [39040/60000 (65%)] Loss: 0.001000
Train Epoch: 13 [39680/60000 (66%)] Loss: 0.454423
Train Epoch: 13 [40320/60000 (67%)] Loss: 0.957515
Train Epoch: 13 [40960/60000 (68%)] Loss: 0.001000
Train Epoch: 13 [41600/60000 (69%)] Loss: 0.454458
Train Epoch: 13 [42240/60000 (70%)] Loss: 0.957518
Train Epoch: 13 [42880/60000 (71%)] Loss: 0.001000
Train Epoch: 13 [43520/60000 (72%)] Loss: 0.454492
Train Epoch: 13 [44160/60000 (74%)] Loss: 0.957522
Train Epoch: 13 [44800/60000 (75%)] Loss: 0.001000
Train Epoch: 13 [45440/60000 (76%)] Loss: 0.454527
Train Epoch: 13 [46080/60000 (77%)] Loss: 0.957525
Train Epoch: 13 [46720/60000 (78%)] Loss: 0.001000
Train Epoch: 13 [47360/60000 (79%)] Loss: 0.454562
Train Epoch: 13 [48000/60000 (80%)] Loss: 0.957528
Train Epoch: 13 [48640/60000 (81%)] Loss: 0.001000
Train Epoch: 13 [49280/60000 (82%)] Loss: 0.454597
Train Epoch: 13 [49920/60000 (83%)] Loss: 0.957531
Train Epoch: 13 [50560/60000 (84%)] Loss: 0.001000
Train Epoch: 13 [51200/60000 (85%)] Loss: 0.454631
Train Epoch: 13 [51840/60000 (86%)] Loss: 0.957534
Train Epoch: 13 [52480/60000 (87%)] Loss: 0.001000
Train Epoch: 13 [53120/60000 (88%)] Loss: 0.454666
Train Epoch: 13 [53760/60000 (90%)] Loss: 0.957537
Train Epoch: 13 [54400/60000 (91%)] Loss: 0.001000
Train Epoch: 13 [55040/60000 (92%)] Loss: 0.454701
Train Epoch: 13 [55680/60000 (93%)] Loss: 0.957540
Train Epoch: 13 [56320/60000 (94%)] Loss: 0.001000
Train Epoch: 13 [56960/60000 (95%)] Loss: 0.454735
Train Epoch: 13 [57600/60000 (96%)] Loss: 0.957543
Train Epoch: 13 [58240/60000 (97%)] Loss: 0.001000
Train Epoch: 13 [58880/60000 (98%)] Loss: 0.454770
Train Epoch: 13 [59520/60000 (99%)] Loss: 0.957547
Test set: Average loss: 0.0005, Accuracy: 90/10000 (1%)
Train Epoch: 14 [0/60000 (0%)] Loss: 0.426074
Train Epoch: 14 [640/60000 (1%)] Loss: 0.001000
Train Epoch: 14 [1280/60000 (2%)] Loss: 0.454720
Train Epoch: 14 [1920/60000 (3%)] Loss: 0.937217
Train Epoch: 14 [2560/60000 (4%)] Loss: 0.001000
Train Epoch: 14 [3200/60000 (5%)] Loss: 0.454744
Train Epoch: 14 [3840/60000 (6%)] Loss: 0.956367
Train Epoch: 14 [4480/60000 (7%)] Loss: 0.001000
Train Epoch: 14 [5120/60000 (9%)] Loss: 0.454769
Train Epoch: 14 [5760/60000 (10%)] Loss: 0.957460
Train Epoch: 14 [6400/60000 (11%)] Loss: 0.001000
Train Epoch: 14 [7040/60000 (12%)] Loss: 0.454793
Train Epoch: 14 [7680/60000 (13%)] Loss: 0.957530
Train Epoch: 14 [8320/60000 (14%)] Loss: 0.001000
Train Epoch: 14 [8960/60000 (15%)] Loss: 0.454818
Train Epoch: 14 [9600/60000 (16%)] Loss: 0.957536
Train Epoch: 14 [10240/60000 (17%)] Loss: 0.001000
Train Epoch: 14 [10880/60000 (18%)] Loss: 0.454842
Train Epoch: 14 [11520/60000 (19%)] Loss: 0.957538
Train Epoch: 14 [12160/60000 (20%)] Loss: 0.001000
Train Epoch: 14 [12800/60000 (21%)] Loss: 0.454866
Train Epoch: 14 [13440/60000 (22%)] Loss: 0.957541
Train Epoch: 14 [14080/60000 (23%)] Loss: 0.001000
Train Epoch: 14 [14720/60000 (25%)] Loss: 0.454891
Train Epoch: 14 [15360/60000 (26%)] Loss: 0.957543
Train Epoch: 14 [16000/60000 (27%)] Loss: 0.001000
Train Epoch: 14 [16640/60000 (28%)] Loss: 0.454915
Train Epoch: 14 [17280/60000 (29%)] Loss: 0.957545
Train Epoch: 14 [17920/60000 (30%)] Loss: 0.001000
Train Epoch: 14 [18560/60000 (31%)] Loss: 0.454940
Train Epoch: 14 [19200/60000 (32%)] Loss: 0.957547
Train Epoch: 14 [19840/60000 (33%)] Loss: 0.001000
Train Epoch: 14 [20480/60000 (34%)] Loss: 0.454964
Train Epoch: 14 [21120/60000 (35%)] Loss: 0.957549
Train Epoch: 14 [21760/60000 (36%)] Loss: 0.001000
Train Epoch: 14 [22400/60000 (37%)] Loss: 0.454989
Train Epoch: 14 [23040/60000 (38%)] Loss: 0.957551
Train Epoch: 14 [23680/60000 (39%)] Loss: 0.001000
Train Epoch: 14 [24320/60000 (41%)] Loss: 0.455013
Train Epoch: 14 [24960/60000 (42%)] Loss: 0.957554
Train Epoch: 14 [25600/60000 (43%)] Loss: 0.001000
Train Epoch: 14 [26240/60000 (44%)] Loss: 0.455037
Train Epoch: 14 [26880/60000 (45%)] Loss: 0.957556
Train Epoch: 14 [27520/60000 (46%)] Loss: 0.001000
Train Epoch: 14 [28160/60000 (47%)] Loss: 0.455062
Train Epoch: 14 [28800/60000 (48%)] Loss: 0.957558
Train Epoch: 14 [29440/60000 (49%)] Loss: 0.001000
Train Epoch: 14 [30080/60000 (50%)] Loss: 0.455086
Train Epoch: 14 [30720/60000 (51%)] Loss: 0.957560
Train Epoch: 14 [31360/60000 (52%)] Loss: 0.001000
Train Epoch: 14 [32000/60000 (53%)] Loss: 0.455110
Train Epoch: 14 [32640/60000 (54%)] Loss: 0.957562
Train Epoch: 14 [33280/60000 (55%)] Loss: 0.001000
Train Epoch: 14 [33920/60000 (57%)] Loss: 0.455134
Train Epoch: 14 [34560/60000 (58%)] Loss: 0.957564
Train Epoch: 14 [35200/60000 (59%)] Loss: 0.001000
Train Epoch: 14 [35840/60000 (60%)] Loss: 0.455159
Train Epoch: 14 [36480/60000 (61%)] Loss: 0.957567
Train Epoch: 14 [37120/60000 (62%)] Loss: 0.001000
Train Epoch: 14 [37760/60000 (63%)] Loss: 0.455183
Train Epoch: 14 [38400/60000 (64%)] Loss: 0.957569
Train Epoch: 14 [39040/60000 (65%)] Loss: 0.001000
Train Epoch: 14 [39680/60000 (66%)] Loss: 0.455207
Train Epoch: 14 [40320/60000 (67%)] Loss: 0.957571
Train Epoch: 14 [40960/60000 (68%)] Loss: 0.001000
Train Epoch: 14 [41600/60000 (69%)] Loss: 0.455232
Train Epoch: 14 [42240/60000 (70%)] Loss: 0.957573
Train Epoch: 14 [42880/60000 (71%)] Loss: 0.001000
Train Epoch: 14 [43520/60000 (72%)] Loss: 0.455256
Train Epoch: 14 [44160/60000 (74%)] Loss: 0.957575
Train Epoch: 14 [44800/60000 (75%)] Loss: 0.001000
Train Epoch: 14 [45440/60000 (76%)] Loss: 0.455280
Train Epoch: 14 [46080/60000 (77%)] Loss: 0.957577
Train Epoch: 14 [46720/60000 (78%)] Loss: 0.001000
Train Epoch: 14 [47360/60000 (79%)] Loss: 0.455304
Train Epoch: 14 [48000/60000 (80%)] Loss: 0.957579
Train Epoch: 14 [48640/60000 (81%)] Loss: 0.001000
Train Epoch: 14 [49280/60000 (82%)] Loss: 0.455329
Train Epoch: 14 [49920/60000 (83%)] Loss: 0.957582
Train Epoch: 14 [50560/60000 (84%)] Loss: 0.001000
Train Epoch: 14 [51200/60000 (85%)] Loss: 0.455353
Train Epoch: 14 [51840/60000 (86%)] Loss: 0.957584
Train Epoch: 14 [52480/60000 (87%)] Loss: 0.001000
Train Epoch: 14 [53120/60000 (88%)] Loss: 0.455377
Train Epoch: 14 [53760/60000 (90%)] Loss: 0.957586
Train Epoch: 14 [54400/60000 (91%)] Loss: 0.001000
Train Epoch: 14 [55040/60000 (92%)] Loss: 0.455401
Train Epoch: 14 [55680/60000 (93%)] Loss: 0.957588
Train Epoch: 14 [56320/60000 (94%)] Loss: 0.001000
Train Epoch: 14 [56960/60000 (95%)] Loss: 0.455425
Train Epoch: 14 [57600/60000 (96%)] Loss: 0.957590
Train Epoch: 14 [58240/60000 (97%)] Loss: 0.001000
Train Epoch: 14 [58880/60000 (98%)] Loss: 0.455449
Train Epoch: 14 [59520/60000 (99%)] Loss: 0.957592
Test set: Average loss: 0.0005, Accuracy: 10/10000 (0%)
(venv) root@rocm-ubuntu:~/tmp#
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