Created
September 7, 2023 16:03
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mnist.py output running on 7900XTX
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(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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