Computation device: cpu

25,557,032 total parameters.
25,557,032 training parameters.
Epoch 1 of 100
Training
  0%| 
| 0/15 [00:00<?, ?it/s]e:\Anaconda3\envs\pytorch\lib\site-packages\torch\nn\functional.py:718: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at ..\c10/core/TensorImpl.h:1156.)
  return torch.max_pool2d(input, kernel_size, stride, padding, dilation, ceil_mode)
16it [04:41, 17.62s/it]
Validating
16it [01:30,  5.64s/it]
Train Loss: 2.2272, Train Acc: 58.84
Val Loss: 7.0938, Val Acc: 43.60
Epoch 2 of 100
Training
16it [04:39, 17.45s/it]
Validating
16it [01:30, 5.66s/it]
Train Loss: 0.5848, Train Acc: 71.69
Val Loss: 2.0658, Val Acc: 54.80
Epoch 3 of 100
Training
16it [04:39, 17.44s/it]
Validating
16it [01:30,  5.64s/it]
Train Loss: 0.4854, Train Acc: 76.51
Val Loss: 0.7689, Val Acc: 66.60
... 중간 생략 ...
Epoch 97 of 100
Training
16it [04:41, 17.58s/it]
Validating
16it [01:29,  5.62s/it]
Train Loss: 0.0410, Train Acc: 98.19
Val Loss: 0.8700, Val Acc: 75.20
Epoch 98 of 100
Training
16it [04:40, 17.52s/it]
Validating
16it [01:30,  5.68s/it]
Train Loss: 0.1077, Train Acc: 95.98
Val Loss: 0.9775, Val Acc: 80.60
Epoch 99 of 100
Training
16it [04:44, 17.81s/it]
Validating
16it [01:30,  5.66s/it]
Train Loss: 0.1609, Train Acc: 94.38
Val Loss: 1.9502, Val Acc: 68.40
Epoch 100 of 100
Training
16it [04:43, 17.72s/it]
Validating
16it [01:29,  5.62s/it]
Train Loss: 0.0995, Train Acc: 96.59
Val Loss: 1.5691, Val Acc: 72.00
Training time: 618.836 minutes
Saving loss and accuracy plots...
Saving model...
TRAINING COMPLETE