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code-philia
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mtpnet_image_models

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1 Parent(s): bdcbfca

alexnet training

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  1. .gitignore +1 -0
  2. Image/AlexNet/code/train.log +503 -0
  3. Image/AlexNet/code/train.py +2 -1
  4. Image/AlexNet/model/.gitkeep +0 -0
  5. Image/AlexNet/model/0/epoch1/embeddings.npy +3 -0
  6. Image/AlexNet/model/0/epoch1/subject_model.pth +3 -0
  7. Image/AlexNet/model/0/epoch10/embeddings.npy +3 -0
  8. Image/AlexNet/model/0/epoch10/subject_model.pth +3 -0
  9. Image/AlexNet/model/0/epoch11/embeddings.npy +3 -0
  10. Image/AlexNet/model/0/epoch11/subject_model.pth +3 -0
  11. Image/AlexNet/model/0/epoch12/embeddings.npy +3 -0
  12. Image/AlexNet/model/0/epoch12/subject_model.pth +3 -0
  13. Image/AlexNet/model/0/epoch13/embeddings.npy +3 -0
  14. Image/AlexNet/model/0/epoch13/subject_model.pth +3 -0
  15. Image/AlexNet/model/0/epoch14/embeddings.npy +3 -0
  16. Image/AlexNet/model/0/epoch14/subject_model.pth +3 -0
  17. Image/AlexNet/model/0/epoch15/embeddings.npy +3 -0
  18. Image/AlexNet/model/0/epoch15/subject_model.pth +3 -0
  19. Image/AlexNet/model/0/epoch16/embeddings.npy +3 -0
  20. Image/AlexNet/model/0/epoch16/subject_model.pth +3 -0
  21. Image/AlexNet/model/0/epoch17/embeddings.npy +3 -0
  22. Image/AlexNet/model/0/epoch17/subject_model.pth +3 -0
  23. Image/AlexNet/model/0/epoch18/embeddings.npy +3 -0
  24. Image/AlexNet/model/0/epoch18/subject_model.pth +3 -0
  25. Image/AlexNet/model/0/epoch19/embeddings.npy +3 -0
  26. Image/AlexNet/model/0/epoch19/subject_model.pth +3 -0
  27. Image/AlexNet/model/0/epoch2/embeddings.npy +3 -0
  28. Image/AlexNet/model/0/epoch2/subject_model.pth +3 -0
  29. Image/AlexNet/model/0/epoch20/embeddings.npy +3 -0
  30. Image/AlexNet/model/0/epoch20/subject_model.pth +3 -0
  31. Image/AlexNet/model/0/epoch21/embeddings.npy +3 -0
  32. Image/AlexNet/model/0/epoch21/subject_model.pth +3 -0
  33. Image/AlexNet/model/0/epoch22/embeddings.npy +3 -0
  34. Image/AlexNet/model/0/epoch22/subject_model.pth +3 -0
  35. Image/AlexNet/model/0/epoch23/embeddings.npy +3 -0
  36. Image/AlexNet/model/0/epoch23/subject_model.pth +3 -0
  37. Image/AlexNet/model/0/epoch24/embeddings.npy +3 -0
  38. Image/AlexNet/model/0/epoch24/subject_model.pth +3 -0
  39. Image/AlexNet/model/0/epoch25/embeddings.npy +3 -0
  40. Image/AlexNet/model/0/epoch25/subject_model.pth +3 -0
  41. Image/AlexNet/model/0/epoch3/embeddings.npy +3 -0
  42. Image/AlexNet/model/0/epoch3/subject_model.pth +3 -0
  43. Image/AlexNet/model/0/epoch4/embeddings.npy +3 -0
  44. Image/AlexNet/model/0/epoch4/subject_model.pth +3 -0
  45. Image/AlexNet/model/0/epoch5/embeddings.npy +3 -0
  46. Image/AlexNet/model/0/epoch5/subject_model.pth +3 -0
  47. Image/AlexNet/model/0/epoch6/embeddings.npy +3 -0
  48. Image/AlexNet/model/0/epoch6/subject_model.pth +3 -0
  49. Image/AlexNet/model/0/epoch7/embeddings.npy +3 -0
  50. Image/AlexNet/model/0/epoch7/subject_model.pth +3 -0
.gitignore CHANGED
@@ -1 +1,2 @@
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  test_save.py
 
 
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  test_save.py
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+ *.pyc
Image/AlexNet/code/train.log ADDED
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1
+ 2025-03-09 19:50:57,307 - train - INFO - 开始训练 alexnet
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+ 2025-03-09 19:50:57,308 - train - INFO - 总轮数: 100, 学习率: 0.1, 设备: cuda:2
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+ 2025-03-09 19:50:57,941 - train - INFO - Epoch: 1 | Batch: 0 | Loss: 2.303 | Acc: 9.38%
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+ 2025-03-09 19:50:59,844 - train - INFO - Epoch: 1 | Batch: 100 | Loss: 2.300 | Acc: 10.04%
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+ 2025-03-09 19:51:01,901 - train - INFO - Epoch: 1 | Batch: 200 | Loss: 2.227 | Acc: 13.40%
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+ 2025-03-09 19:51:03,899 - train - INFO - Epoch: 1 | Batch: 300 | Loss: 2.162 | Acc: 15.09%
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+ 2025-03-09 19:51:07,107 - train - INFO - Epoch: 1 | Test Loss: 1.896 | Test Acc: 19.86%
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+ 2025-03-09 19:51:07,264 - train - INFO - Epoch: 2 | Batch: 0 | Loss: 1.888 | Acc: 16.41%
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+ 2025-03-09 19:51:09,345 - train - INFO - Epoch: 2 | Batch: 100 | Loss: 1.929 | Acc: 21.02%
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+ 2025-03-09 19:51:11,452 - train - INFO - Epoch: 2 | Batch: 200 | Loss: 1.917 | Acc: 21.42%
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+ 2025-03-09 19:51:13,434 - train - INFO - Epoch: 2 | Batch: 300 | Loss: 1.911 | Acc: 21.87%
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+ 2025-03-09 19:51:16,541 - train - INFO - Epoch: 2 | Test Loss: 1.840 | Test Acc: 25.23%
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+ 2025-03-09 19:51:16,704 - train - INFO - Epoch: 3 | Batch: 0 | Loss: 1.938 | Acc: 17.97%
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+ 2025-03-09 19:51:18,746 - train - INFO - Epoch: 3 | Batch: 100 | Loss: 1.837 | Acc: 26.49%
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+ 2025-03-09 19:51:20,674 - train - INFO - Epoch: 3 | Batch: 200 | Loss: 1.812 | Acc: 27.79%
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+ 2025-03-09 19:51:22,577 - train - INFO - Epoch: 3 | Batch: 300 | Loss: 1.798 | Acc: 28.75%
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+ 2025-03-09 19:51:25,741 - train - INFO - Epoch: 3 | Test Loss: 1.613 | Test Acc: 38.13%
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+ 2025-03-09 19:51:25,920 - train - INFO - Epoch: 4 | Batch: 0 | Loss: 1.613 | Acc: 32.81%
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+ 2025-03-09 19:51:28,016 - train - INFO - Epoch: 4 | Batch: 100 | Loss: 1.683 | Acc: 34.67%
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+ 2025-03-09 19:51:30,038 - train - INFO - Epoch: 4 | Batch: 200 | Loss: 1.668 | Acc: 35.46%
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+ 2025-03-09 19:51:32,131 - train - INFO - Epoch: 4 | Batch: 300 | Loss: 1.675 | Acc: 36.00%
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+ 2025-03-09 19:51:35,398 - train - INFO - Epoch: 4 | Test Loss: 1.624 | Test Acc: 39.42%
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+ 2025-03-09 19:51:43,699 - train - INFO - Epoch: 5 | Batch: 0 | Loss: 1.684 | Acc: 39.06%
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+ 2025-03-09 19:51:45,670 - train - INFO - Epoch: 5 | Batch: 100 | Loss: 1.638 | Acc: 39.09%
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+ 2025-03-09 19:51:47,561 - train - INFO - Epoch: 5 | Batch: 200 | Loss: 1.623 | Acc: 39.87%
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+ 2025-03-09 19:51:49,399 - train - INFO - Epoch: 5 | Batch: 300 | Loss: 1.614 | Acc: 40.60%
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+ 2025-03-09 19:51:52,227 - train - INFO - Epoch: 5 | Test Loss: 1.487 | Test Acc: 45.98%
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+ 2025-03-09 19:51:52,392 - train - INFO - Epoch: 6 | Batch: 0 | Loss: 1.565 | Acc: 45.31%
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+ 2025-03-09 19:51:54,259 - train - INFO - Epoch: 6 | Batch: 100 | Loss: 1.550 | Acc: 44.09%
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+ 2025-03-09 19:51:56,191 - train - INFO - Epoch: 6 | Batch: 200 | Loss: 1.551 | Acc: 44.07%
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+ 2025-03-09 19:51:58,102 - train - INFO - Epoch: 6 | Batch: 300 | Loss: 1.552 | Acc: 44.16%
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+ 2025-03-09 19:52:00,982 - train - INFO - Epoch: 6 | Test Loss: 1.498 | Test Acc: 46.14%
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+ 2025-03-09 19:52:01,147 - train - INFO - Epoch: 7 | Batch: 0 | Loss: 1.703 | Acc: 35.94%
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+ 2025-03-09 19:52:03,112 - train - INFO - Epoch: 7 | Batch: 100 | Loss: 1.549 | Acc: 44.65%
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+ 2025-03-09 19:52:05,091 - train - INFO - Epoch: 7 | Batch: 200 | Loss: 1.558 | Acc: 44.57%
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+ 2025-03-09 19:52:07,124 - train - INFO - Epoch: 7 | Batch: 300 | Loss: 1.546 | Acc: 44.95%
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+ 2025-03-09 19:52:10,122 - train - INFO - Epoch: 7 | Test Loss: 1.463 | Test Acc: 48.95%
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+ 2025-03-09 19:52:10,282 - train - INFO - Epoch: 8 | Batch: 0 | Loss: 1.559 | Acc: 46.88%
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+ 2025-03-09 19:52:12,269 - train - INFO - Epoch: 8 | Batch: 100 | Loss: 1.522 | Acc: 45.61%
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+ 2025-03-09 19:52:14,191 - train - INFO - Epoch: 8 | Batch: 200 | Loss: 1.515 | Acc: 46.19%
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+ 2025-03-09 19:52:16,026 - train - INFO - Epoch: 8 | Batch: 300 | Loss: 1.512 | Acc: 46.34%
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+ 2025-03-09 19:52:18,972 - train - INFO - Epoch: 8 | Test Loss: 1.414 | Test Acc: 51.07%
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+ 2025-03-09 19:52:27,269 - train - INFO - Epoch: 9 | Batch: 0 | Loss: 1.405 | Acc: 50.00%
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+ 2025-03-09 19:52:29,140 - train - INFO - Epoch: 9 | Batch: 100 | Loss: 1.506 | Acc: 46.11%
45
+ 2025-03-09 19:52:31,111 - train - INFO - Epoch: 9 | Batch: 200 | Loss: 1.495 | Acc: 46.85%
46
+ 2025-03-09 19:52:33,061 - train - INFO - Epoch: 9 | Batch: 300 | Loss: 1.500 | Acc: 46.91%
47
+ 2025-03-09 19:52:36,118 - train - INFO - Epoch: 9 | Test Loss: 1.540 | Test Acc: 46.20%
48
+ 2025-03-09 19:52:36,307 - train - INFO - Epoch: 10 | Batch: 0 | Loss: 1.710 | Acc: 42.97%
49
+ 2025-03-09 19:52:38,571 - train - INFO - Epoch: 10 | Batch: 100 | Loss: 1.515 | Acc: 47.08%
50
+ 2025-03-09 19:52:40,615 - train - INFO - Epoch: 10 | Batch: 200 | Loss: 1.506 | Acc: 47.12%
51
+ 2025-03-09 19:52:42,631 - train - INFO - Epoch: 10 | Batch: 300 | Loss: 1.498 | Acc: 47.72%
52
+ 2025-03-09 19:52:45,697 - train - INFO - Epoch: 10 | Test Loss: 1.359 | Test Acc: 51.08%
53
+ 2025-03-09 19:52:45,908 - train - INFO - Epoch: 11 | Batch: 0 | Loss: 1.288 | Acc: 48.44%
54
+ 2025-03-09 19:52:48,156 - train - INFO - Epoch: 11 | Batch: 100 | Loss: 1.493 | Acc: 47.49%
55
+ 2025-03-09 19:52:50,122 - train - INFO - Epoch: 11 | Batch: 200 | Loss: 1.483 | Acc: 47.77%
56
+ 2025-03-09 19:52:52,086 - train - INFO - Epoch: 11 | Batch: 300 | Loss: 1.482 | Acc: 47.71%
57
+ 2025-03-09 19:52:55,093 - train - INFO - Epoch: 11 | Test Loss: 1.425 | Test Acc: 49.77%
58
+ 2025-03-09 19:52:55,255 - train - INFO - Epoch: 12 | Batch: 0 | Loss: 1.601 | Acc: 38.28%
59
+ 2025-03-09 19:52:57,285 - train - INFO - Epoch: 12 | Batch: 100 | Loss: 1.495 | Acc: 47.03%
60
+ 2025-03-09 19:52:59,361 - train - INFO - Epoch: 12 | Batch: 200 | Loss: 1.484 | Acc: 47.75%
61
+ 2025-03-09 19:53:01,286 - train - INFO - Epoch: 12 | Batch: 300 | Loss: 1.474 | Acc: 48.21%
62
+ 2025-03-09 19:53:04,233 - train - INFO - Epoch: 12 | Test Loss: 1.395 | Test Acc: 50.04%
63
+ 2025-03-09 19:53:13,654 - train - INFO - Epoch: 13 | Batch: 0 | Loss: 1.349 | Acc: 54.69%
64
+ 2025-03-09 19:53:16,010 - train - INFO - Epoch: 13 | Batch: 100 | Loss: 1.476 | Acc: 47.81%
65
+ 2025-03-09 19:53:18,014 - train - INFO - Epoch: 13 | Batch: 200 | Loss: 1.459 | Acc: 48.68%
66
+ 2025-03-09 19:53:19,910 - train - INFO - Epoch: 13 | Batch: 300 | Loss: 1.463 | Acc: 48.69%
67
+ 2025-03-09 19:53:22,970 - train - INFO - Epoch: 13 | Test Loss: 1.433 | Test Acc: 50.43%
68
+ 2025-03-09 19:53:23,123 - train - INFO - Epoch: 14 | Batch: 0 | Loss: 1.438 | Acc: 48.44%
69
+ 2025-03-09 19:53:25,027 - train - INFO - Epoch: 14 | Batch: 100 | Loss: 1.490 | Acc: 47.90%
70
+ 2025-03-09 19:53:27,032 - train - INFO - Epoch: 14 | Batch: 200 | Loss: 1.478 | Acc: 48.26%
71
+ 2025-03-09 19:53:28,990 - train - INFO - Epoch: 14 | Batch: 300 | Loss: 1.473 | Acc: 48.42%
72
+ 2025-03-09 19:53:31,930 - train - INFO - Epoch: 14 | Test Loss: 1.419 | Test Acc: 50.80%
73
+ 2025-03-09 19:53:32,132 - train - INFO - Epoch: 15 | Batch: 0 | Loss: 1.496 | Acc: 49.22%
74
+ 2025-03-09 19:53:34,072 - train - INFO - Epoch: 15 | Batch: 100 | Loss: 1.468 | Acc: 49.19%
75
+ 2025-03-09 19:53:36,080 - train - INFO - Epoch: 15 | Batch: 200 | Loss: 1.473 | Acc: 49.07%
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+ 2025-03-09 19:53:38,079 - train - INFO - Epoch: 15 | Batch: 300 | Loss: 1.468 | Acc: 49.20%
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+ 2025-03-09 19:53:41,161 - train - INFO - Epoch: 15 | Test Loss: 1.424 | Test Acc: 52.09%
78
+ 2025-03-09 19:53:41,356 - train - INFO - Epoch: 16 | Batch: 0 | Loss: 1.368 | Acc: 46.88%
79
+ 2025-03-09 19:53:43,498 - train - INFO - Epoch: 16 | Batch: 100 | Loss: 1.485 | Acc: 48.47%
80
+ 2025-03-09 19:53:45,625 - train - INFO - Epoch: 16 | Batch: 200 | Loss: 1.475 | Acc: 48.40%
81
+ 2025-03-09 19:53:47,626 - train - INFO - Epoch: 16 | Batch: 300 | Loss: 1.468 | Acc: 48.62%
82
+ 2025-03-09 19:53:50,536 - train - INFO - Epoch: 16 | Test Loss: 1.368 | Test Acc: 54.06%
83
+ 2025-03-09 19:53:58,981 - train - INFO - Epoch: 17 | Batch: 0 | Loss: 1.322 | Acc: 48.44%
84
+ 2025-03-09 19:54:01,050 - train - INFO - Epoch: 17 | Batch: 100 | Loss: 1.453 | Acc: 50.21%
85
+ 2025-03-09 19:54:03,003 - train - INFO - Epoch: 17 | Batch: 200 | Loss: 1.445 | Acc: 50.24%
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+ 2025-03-09 19:54:05,016 - train - INFO - Epoch: 17 | Batch: 300 | Loss: 1.442 | Acc: 50.14%
87
+ 2025-03-09 19:54:08,407 - train - INFO - Epoch: 17 | Test Loss: 1.427 | Test Acc: 50.52%
88
+ 2025-03-09 19:54:08,577 - train - INFO - Epoch: 18 | Batch: 0 | Loss: 1.677 | Acc: 39.84%
89
+ 2025-03-09 19:54:11,118 - train - INFO - Epoch: 18 | Batch: 100 | Loss: 1.466 | Acc: 49.07%
90
+ 2025-03-09 19:54:13,136 - train - INFO - Epoch: 18 | Batch: 200 | Loss: 1.459 | Acc: 49.04%
91
+ 2025-03-09 19:54:15,032 - train - INFO - Epoch: 18 | Batch: 300 | Loss: 1.450 | Acc: 49.59%
92
+ 2025-03-09 19:54:18,113 - train - INFO - Epoch: 18 | Test Loss: 1.461 | Test Acc: 51.56%
93
+ 2025-03-09 19:54:18,278 - train - INFO - Epoch: 19 | Batch: 0 | Loss: 1.473 | Acc: 53.91%
94
+ 2025-03-09 19:54:20,263 - train - INFO - Epoch: 19 | Batch: 100 | Loss: 1.457 | Acc: 49.16%
95
+ 2025-03-09 19:54:22,414 - train - INFO - Epoch: 19 | Batch: 200 | Loss: 1.433 | Acc: 50.05%
96
+ 2025-03-09 19:54:24,518 - train - INFO - Epoch: 19 | Batch: 300 | Loss: 1.427 | Acc: 50.53%
97
+ 2025-03-09 19:54:27,682 - train - INFO - Epoch: 19 | Test Loss: 1.490 | Test Acc: 53.65%
98
+ 2025-03-09 19:54:27,849 - train - INFO - Epoch: 20 | Batch: 0 | Loss: 1.817 | Acc: 46.09%
99
+ 2025-03-09 19:54:29,974 - train - INFO - Epoch: 20 | Batch: 100 | Loss: 1.438 | Acc: 50.66%
100
+ 2025-03-09 19:54:32,009 - train - INFO - Epoch: 20 | Batch: 200 | Loss: 1.428 | Acc: 50.77%
101
+ 2025-03-09 19:54:34,136 - train - INFO - Epoch: 20 | Batch: 300 | Loss: 1.427 | Acc: 50.63%
102
+ 2025-03-09 19:54:37,134 - train - INFO - Epoch: 20 | Test Loss: 1.343 | Test Acc: 54.50%
103
+ 2025-03-09 19:54:45,895 - train - INFO - Epoch: 21 | Batch: 0 | Loss: 1.165 | Acc: 61.72%
104
+ 2025-03-09 19:54:48,130 - train - INFO - Epoch: 21 | Batch: 100 | Loss: 1.424 | Acc: 49.71%
105
+ 2025-03-09 19:54:50,095 - train - INFO - Epoch: 21 | Batch: 200 | Loss: 1.431 | Acc: 50.06%
106
+ 2025-03-09 19:54:52,237 - train - INFO - Epoch: 21 | Batch: 300 | Loss: 1.431 | Acc: 50.08%
107
+ 2025-03-09 19:54:55,342 - train - INFO - Epoch: 21 | Test Loss: 1.527 | Test Acc: 53.13%
108
+ 2025-03-09 19:54:55,542 - train - INFO - Epoch: 22 | Batch: 0 | Loss: 1.576 | Acc: 50.78%
109
+ 2025-03-09 19:54:57,589 - train - INFO - Epoch: 22 | Batch: 100 | Loss: 1.439 | Acc: 50.59%
110
+ 2025-03-09 19:54:59,618 - train - INFO - Epoch: 22 | Batch: 200 | Loss: 1.443 | Acc: 50.26%
111
+ 2025-03-09 19:55:01,786 - train - INFO - Epoch: 22 | Batch: 300 | Loss: 1.447 | Acc: 50.06%
112
+ 2025-03-09 19:55:04,883 - train - INFO - Epoch: 22 | Test Loss: 1.385 | Test Acc: 52.66%
113
+ 2025-03-09 19:55:05,110 - train - INFO - Epoch: 23 | Batch: 0 | Loss: 1.361 | Acc: 49.22%
114
+ 2025-03-09 19:55:07,153 - train - INFO - Epoch: 23 | Batch: 100 | Loss: 1.446 | Acc: 48.96%
115
+ 2025-03-09 19:55:09,130 - train - INFO - Epoch: 23 | Batch: 200 | Loss: 1.446 | Acc: 49.48%
116
+ 2025-03-09 19:55:11,103 - train - INFO - Epoch: 23 | Batch: 300 | Loss: 1.436 | Acc: 50.26%
117
+ 2025-03-09 19:55:14,018 - train - INFO - Epoch: 23 | Test Loss: 1.312 | Test Acc: 54.84%
118
+ 2025-03-09 19:55:14,202 - train - INFO - Epoch: 24 | Batch: 0 | Loss: 1.346 | Acc: 50.78%
119
+ 2025-03-09 19:55:16,194 - train - INFO - Epoch: 24 | Batch: 100 | Loss: 1.455 | Acc: 48.91%
120
+ 2025-03-09 19:55:18,163 - train - INFO - Epoch: 24 | Batch: 200 | Loss: 1.440 | Acc: 49.81%
121
+ 2025-03-09 19:55:20,197 - train - INFO - Epoch: 24 | Batch: 300 | Loss: 1.437 | Acc: 50.04%
122
+ 2025-03-09 19:55:23,241 - train - INFO - Epoch: 24 | Test Loss: 1.458 | Test Acc: 51.68%
123
+ 2025-03-09 19:55:32,077 - train - INFO - Epoch: 25 | Batch: 0 | Loss: 1.432 | Acc: 54.69%
124
+ 2025-03-09 19:55:34,182 - train - INFO - Epoch: 25 | Batch: 100 | Loss: 1.410 | Acc: 51.34%
125
+ 2025-03-09 19:55:36,201 - train - INFO - Epoch: 25 | Batch: 200 | Loss: 1.422 | Acc: 51.18%
126
+ 2025-03-09 19:55:38,082 - train - INFO - Epoch: 25 | Batch: 300 | Loss: 1.414 | Acc: 51.21%
127
+ 2025-03-09 19:55:41,003 - train - INFO - Epoch: 25 | Test Loss: 1.407 | Test Acc: 53.10%
128
+ 2025-03-09 19:55:41,169 - train - INFO - Epoch: 26 | Batch: 0 | Loss: 1.408 | Acc: 53.91%
129
+ 2025-03-09 19:55:43,071 - train - INFO - Epoch: 26 | Batch: 100 | Loss: 1.397 | Acc: 51.52%
130
+ 2025-03-09 19:55:45,032 - train - INFO - Epoch: 26 | Batch: 200 | Loss: 1.416 | Acc: 51.12%
131
+ 2025-03-09 19:55:47,033 - train - INFO - Epoch: 26 | Batch: 300 | Loss: 1.431 | Acc: 50.55%
132
+ 2025-03-09 19:55:50,303 - train - INFO - Epoch: 26 | Test Loss: 1.337 | Test Acc: 53.87%
133
+ 2025-03-09 19:55:50,467 - train - INFO - Epoch: 27 | Batch: 0 | Loss: 1.436 | Acc: 52.34%
134
+ 2025-03-09 19:55:52,603 - train - INFO - Epoch: 27 | Batch: 100 | Loss: 1.400 | Acc: 51.96%
135
+ 2025-03-09 19:55:54,700 - train - INFO - Epoch: 27 | Batch: 200 | Loss: 1.415 | Acc: 51.58%
136
+ 2025-03-09 19:55:56,931 - train - INFO - Epoch: 27 | Batch: 300 | Loss: 1.403 | Acc: 51.88%
137
+ 2025-03-09 19:56:00,315 - train - INFO - Epoch: 27 | Test Loss: 1.284 | Test Acc: 57.01%
138
+ 2025-03-09 19:56:00,490 - train - INFO - Epoch: 28 | Batch: 0 | Loss: 1.196 | Acc: 53.91%
139
+ 2025-03-09 19:56:02,614 - train - INFO - Epoch: 28 | Batch: 100 | Loss: 1.402 | Acc: 51.76%
140
+ 2025-03-09 19:56:04,933 - train - INFO - Epoch: 28 | Batch: 200 | Loss: 1.408 | Acc: 51.64%
141
+ 2025-03-09 19:56:06,826 - train - INFO - Epoch: 28 | Batch: 300 | Loss: 1.415 | Acc: 51.37%
142
+ 2025-03-09 19:56:09,723 - train - INFO - Epoch: 28 | Test Loss: 1.512 | Test Acc: 49.97%
143
+ 2025-03-09 19:56:18,095 - train - INFO - Epoch: 29 | Batch: 0 | Loss: 1.663 | Acc: 49.22%
144
+ 2025-03-09 19:56:20,071 - train - INFO - Epoch: 29 | Batch: 100 | Loss: 1.450 | Acc: 49.74%
145
+ 2025-03-09 19:56:22,046 - train - INFO - Epoch: 29 | Batch: 200 | Loss: 1.418 | Acc: 51.07%
146
+ 2025-03-09 19:56:23,941 - train - INFO - Epoch: 29 | Batch: 300 | Loss: 1.418 | Acc: 51.21%
147
+ 2025-03-09 19:56:27,201 - train - INFO - Epoch: 29 | Test Loss: 1.399 | Test Acc: 50.57%
148
+ 2025-03-09 19:56:27,418 - train - INFO - Epoch: 30 | Batch: 0 | Loss: 1.487 | Acc: 50.78%
149
+ 2025-03-09 19:56:29,631 - train - INFO - Epoch: 30 | Batch: 100 | Loss: 1.407 | Acc: 52.09%
150
+ 2025-03-09 19:56:31,749 - train - INFO - Epoch: 30 | Batch: 200 | Loss: 1.405 | Acc: 52.03%
151
+ 2025-03-09 19:56:34,079 - train - INFO - Epoch: 30 | Batch: 300 | Loss: 1.409 | Acc: 51.79%
152
+ 2025-03-09 19:56:37,224 - train - INFO - Epoch: 30 | Test Loss: 1.353 | Test Acc: 51.54%
153
+ 2025-03-09 19:56:37,407 - train - INFO - Epoch: 31 | Batch: 0 | Loss: 1.319 | Acc: 50.78%
154
+ 2025-03-09 19:56:39,290 - train - INFO - Epoch: 31 | Batch: 100 | Loss: 1.408 | Acc: 52.58%
155
+ 2025-03-09 19:56:41,278 - train - INFO - Epoch: 31 | Batch: 200 | Loss: 1.403 | Acc: 52.27%
156
+ 2025-03-09 19:56:43,239 - train - INFO - Epoch: 31 | Batch: 300 | Loss: 1.405 | Acc: 52.06%
157
+ 2025-03-09 19:56:46,411 - train - INFO - Epoch: 31 | Test Loss: 1.437 | Test Acc: 50.89%
158
+ 2025-03-09 19:56:46,625 - train - INFO - Epoch: 32 | Batch: 0 | Loss: 1.625 | Acc: 38.28%
159
+ 2025-03-09 19:56:48,617 - train - INFO - Epoch: 32 | Batch: 100 | Loss: 1.408 | Acc: 52.27%
160
+ 2025-03-09 19:56:50,612 - train - INFO - Epoch: 32 | Batch: 200 | Loss: 1.404 | Acc: 52.34%
161
+ 2025-03-09 19:56:52,563 - train - INFO - Epoch: 32 | Batch: 300 | Loss: 1.419 | Acc: 51.68%
162
+ 2025-03-09 19:56:55,759 - train - INFO - Epoch: 32 | Test Loss: 1.462 | Test Acc: 49.63%
163
+ 2025-03-09 19:57:04,788 - train - INFO - Epoch: 33 | Batch: 0 | Loss: 1.380 | Acc: 50.78%
164
+ 2025-03-09 19:57:06,775 - train - INFO - Epoch: 33 | Batch: 100 | Loss: 1.404 | Acc: 52.44%
165
+ 2025-03-09 19:57:08,717 - train - INFO - Epoch: 33 | Batch: 200 | Loss: 1.401 | Acc: 52.40%
166
+ 2025-03-09 19:57:10,621 - train - INFO - Epoch: 33 | Batch: 300 | Loss: 1.402 | Acc: 52.39%
167
+ 2025-03-09 19:57:13,611 - train - INFO - Epoch: 33 | Test Loss: 1.429 | Test Acc: 50.51%
168
+ 2025-03-09 19:57:13,780 - train - INFO - Epoch: 34 | Batch: 0 | Loss: 1.457 | Acc: 45.31%
169
+ 2025-03-09 19:57:15,716 - train - INFO - Epoch: 34 | Batch: 100 | Loss: 1.382 | Acc: 52.42%
170
+ 2025-03-09 19:57:17,568 - train - INFO - Epoch: 34 | Batch: 200 | Loss: 1.369 | Acc: 53.09%
171
+ 2025-03-09 19:57:19,467 - train - INFO - Epoch: 34 | Batch: 300 | Loss: 1.385 | Acc: 52.48%
172
+ 2025-03-09 19:57:22,494 - train - INFO - Epoch: 34 | Test Loss: 1.269 | Test Acc: 58.16%
173
+ 2025-03-09 19:57:22,652 - train - INFO - Epoch: 35 | Batch: 0 | Loss: 1.363 | Acc: 50.00%
174
+ 2025-03-09 19:57:24,637 - train - INFO - Epoch: 35 | Batch: 100 | Loss: 1.370 | Acc: 53.33%
175
+ 2025-03-09 19:57:26,607 - train - INFO - Epoch: 35 | Batch: 200 | Loss: 1.357 | Acc: 53.85%
176
+ 2025-03-09 19:57:28,609 - train - INFO - Epoch: 35 | Batch: 300 | Loss: 1.376 | Acc: 53.20%
177
+ 2025-03-09 19:57:31,872 - train - INFO - Epoch: 35 | Test Loss: 1.374 | Test Acc: 52.82%
178
+ 2025-03-09 19:57:32,038 - train - INFO - Epoch: 36 | Batch: 0 | Loss: 1.409 | Acc: 48.44%
179
+ 2025-03-09 19:57:34,309 - train - INFO - Epoch: 36 | Batch: 100 | Loss: 1.380 | Acc: 53.10%
180
+ 2025-03-09 19:57:36,495 - train - INFO - Epoch: 36 | Batch: 200 | Loss: 1.412 | Acc: 52.32%
181
+ 2025-03-09 19:57:38,858 - train - INFO - Epoch: 36 | Batch: 300 | Loss: 1.407 | Acc: 52.43%
182
+ 2025-03-09 19:57:41,965 - train - INFO - Epoch: 36 | Test Loss: 1.315 | Test Acc: 53.89%
183
+ 2025-03-09 19:57:50,440 - train - INFO - Epoch: 37 | Batch: 0 | Loss: 1.449 | Acc: 54.69%
184
+ 2025-03-09 19:57:52,335 - train - INFO - Epoch: 37 | Batch: 100 | Loss: 1.406 | Acc: 52.27%
185
+ 2025-03-09 19:57:54,375 - train - INFO - Epoch: 37 | Batch: 200 | Loss: 1.402 | Acc: 52.22%
186
+ 2025-03-09 19:57:56,397 - train - INFO - Epoch: 37 | Batch: 300 | Loss: 1.402 | Acc: 51.95%
187
+ 2025-03-09 19:57:59,642 - train - INFO - Epoch: 37 | Test Loss: 1.317 | Test Acc: 54.21%
188
+ 2025-03-09 19:57:59,815 - train - INFO - Epoch: 38 | Batch: 0 | Loss: 1.396 | Acc: 53.91%
189
+ 2025-03-09 19:58:01,888 - train - INFO - Epoch: 38 | Batch: 100 | Loss: 1.402 | Acc: 52.91%
190
+ 2025-03-09 19:58:04,248 - train - INFO - Epoch: 38 | Batch: 200 | Loss: 1.390 | Acc: 53.00%
191
+ 2025-03-09 19:58:06,220 - train - INFO - Epoch: 38 | Batch: 300 | Loss: 1.384 | Acc: 52.99%
192
+ 2025-03-09 19:58:09,163 - train - INFO - Epoch: 38 | Test Loss: 1.377 | Test Acc: 53.56%
193
+ 2025-03-09 19:58:09,344 - train - INFO - Epoch: 39 | Batch: 0 | Loss: 1.318 | Acc: 56.25%
194
+ 2025-03-09 19:58:11,213 - train - INFO - Epoch: 39 | Batch: 100 | Loss: 1.357 | Acc: 53.60%
195
+ 2025-03-09 19:58:13,162 - train - INFO - Epoch: 39 | Batch: 200 | Loss: 1.359 | Acc: 53.66%
196
+ 2025-03-09 19:58:15,049 - train - INFO - Epoch: 39 | Batch: 300 | Loss: 1.365 | Acc: 53.45%
197
+ 2025-03-09 19:58:17,934 - train - INFO - Epoch: 39 | Test Loss: 1.387 | Test Acc: 53.77%
198
+ 2025-03-09 19:58:18,107 - train - INFO - Epoch: 40 | Batch: 0 | Loss: 1.412 | Acc: 48.44%
199
+ 2025-03-09 19:58:20,130 - train - INFO - Epoch: 40 | Batch: 100 | Loss: 1.366 | Acc: 53.23%
200
+ 2025-03-09 19:58:22,068 - train - INFO - Epoch: 40 | Batch: 200 | Loss: 1.351 | Acc: 53.61%
201
+ 2025-03-09 19:58:24,230 - train - INFO - Epoch: 40 | Batch: 300 | Loss: 1.354 | Acc: 53.64%
202
+ 2025-03-09 19:58:27,405 - train - INFO - Epoch: 40 | Test Loss: 1.372 | Test Acc: 53.59%
203
+ 2025-03-09 19:58:36,177 - train - INFO - Epoch: 41 | Batch: 0 | Loss: 1.538 | Acc: 44.53%
204
+ 2025-03-09 19:58:38,243 - train - INFO - Epoch: 41 | Batch: 100 | Loss: 1.372 | Acc: 53.30%
205
+ 2025-03-09 19:58:40,234 - train - INFO - Epoch: 41 | Batch: 200 | Loss: 1.364 | Acc: 53.72%
206
+ 2025-03-09 19:58:42,245 - train - INFO - Epoch: 41 | Batch: 300 | Loss: 1.369 | Acc: 53.57%
207
+ 2025-03-09 19:58:45,634 - train - INFO - Epoch: 41 | Test Loss: 1.296 | Test Acc: 54.74%
208
+ 2025-03-09 19:58:45,798 - train - INFO - Epoch: 42 | Batch: 0 | Loss: 1.475 | Acc: 44.53%
209
+ 2025-03-09 19:58:47,867 - train - INFO - Epoch: 42 | Batch: 100 | Loss: 1.368 | Acc: 52.49%
210
+ 2025-03-09 19:58:50,126 - train - INFO - Epoch: 42 | Batch: 200 | Loss: 1.368 | Acc: 52.68%
211
+ 2025-03-09 19:58:52,366 - train - INFO - Epoch: 42 | Batch: 300 | Loss: 1.377 | Acc: 52.70%
212
+ 2025-03-09 19:58:55,621 - train - INFO - Epoch: 42 | Test Loss: 1.309 | Test Acc: 58.19%
213
+ 2025-03-09 19:58:55,774 - train - INFO - Epoch: 43 | Batch: 0 | Loss: 1.291 | Acc: 61.72%
214
+ 2025-03-09 19:58:57,733 - train - INFO - Epoch: 43 | Batch: 100 | Loss: 1.340 | Acc: 54.46%
215
+ 2025-03-09 19:58:59,676 - train - INFO - Epoch: 43 | Batch: 200 | Loss: 1.329 | Acc: 54.83%
216
+ 2025-03-09 19:59:01,636 - train - INFO - Epoch: 43 | Batch: 300 | Loss: 1.331 | Acc: 55.12%
217
+ 2025-03-09 19:59:04,691 - train - INFO - Epoch: 43 | Test Loss: 1.373 | Test Acc: 53.69%
218
+ 2025-03-09 19:59:04,836 - train - INFO - Epoch: 44 | Batch: 0 | Loss: 1.310 | Acc: 52.34%
219
+ 2025-03-09 19:59:06,796 - train - INFO - Epoch: 44 | Batch: 100 | Loss: 1.373 | Acc: 53.46%
220
+ 2025-03-09 19:59:08,711 - train - INFO - Epoch: 44 | Batch: 200 | Loss: 1.368 | Acc: 53.84%
221
+ 2025-03-09 19:59:10,613 - train - INFO - Epoch: 44 | Batch: 300 | Loss: 1.362 | Acc: 53.90%
222
+ 2025-03-09 19:59:13,399 - train - INFO - Epoch: 44 | Test Loss: 1.378 | Test Acc: 53.67%
223
+ 2025-03-09 19:59:21,620 - train - INFO - Epoch: 45 | Batch: 0 | Loss: 1.383 | Acc: 58.59%
224
+ 2025-03-09 19:59:23,458 - train - INFO - Epoch: 45 | Batch: 100 | Loss: 1.325 | Acc: 55.49%
225
+ 2025-03-09 19:59:25,416 - train - INFO - Epoch: 45 | Batch: 200 | Loss: 1.345 | Acc: 54.83%
226
+ 2025-03-09 19:59:27,390 - train - INFO - Epoch: 45 | Batch: 300 | Loss: 1.361 | Acc: 54.17%
227
+ 2025-03-09 19:59:30,307 - train - INFO - Epoch: 45 | Test Loss: 1.345 | Test Acc: 54.53%
228
+ 2025-03-09 19:59:30,478 - train - INFO - Epoch: 46 | Batch: 0 | Loss: 1.303 | Acc: 55.47%
229
+ 2025-03-09 19:59:32,427 - train - INFO - Epoch: 46 | Batch: 100 | Loss: 1.342 | Acc: 54.19%
230
+ 2025-03-09 19:59:34,336 - train - INFO - Epoch: 46 | Batch: 200 | Loss: 1.337 | Acc: 54.64%
231
+ 2025-03-09 19:59:36,228 - train - INFO - Epoch: 46 | Batch: 300 | Loss: 1.351 | Acc: 54.22%
232
+ 2025-03-09 19:59:39,262 - train - INFO - Epoch: 46 | Test Loss: 1.345 | Test Acc: 56.16%
233
+ 2025-03-09 19:59:39,452 - train - INFO - Epoch: 47 | Batch: 0 | Loss: 1.489 | Acc: 51.56%
234
+ 2025-03-09 19:59:41,279 - train - INFO - Epoch: 47 | Batch: 100 | Loss: 1.328 | Acc: 54.90%
235
+ 2025-03-09 19:59:43,204 - train - INFO - Epoch: 47 | Batch: 200 | Loss: 1.327 | Acc: 55.05%
236
+ 2025-03-09 19:59:45,120 - train - INFO - Epoch: 47 | Batch: 300 | Loss: 1.333 | Acc: 55.00%
237
+ 2025-03-09 19:59:48,254 - train - INFO - Epoch: 47 | Test Loss: 1.314 | Test Acc: 56.75%
238
+ 2025-03-09 19:59:48,434 - train - INFO - Epoch: 48 | Batch: 0 | Loss: 1.208 | Acc: 59.38%
239
+ 2025-03-09 19:59:50,454 - train - INFO - Epoch: 48 | Batch: 100 | Loss: 1.317 | Acc: 55.10%
240
+ 2025-03-09 19:59:52,374 - train - INFO - Epoch: 48 | Batch: 200 | Loss: 1.312 | Acc: 55.74%
241
+ 2025-03-09 19:59:54,256 - train - INFO - Epoch: 48 | Batch: 300 | Loss: 1.309 | Acc: 55.89%
242
+ 2025-03-09 19:59:57,327 - train - INFO - Epoch: 48 | Test Loss: 1.271 | Test Acc: 58.09%
243
+ 2025-03-09 20:00:06,506 - train - INFO - Epoch: 49 | Batch: 0 | Loss: 1.332 | Acc: 57.81%
244
+ 2025-03-09 20:00:08,781 - train - INFO - Epoch: 49 | Batch: 100 | Loss: 1.298 | Acc: 55.98%
245
+ 2025-03-09 20:00:11,349 - train - INFO - Epoch: 49 | Batch: 200 | Loss: 1.302 | Acc: 56.07%
246
+ 2025-03-09 20:00:13,500 - train - INFO - Epoch: 49 | Batch: 300 | Loss: 1.307 | Acc: 55.87%
247
+ 2025-03-09 20:00:16,544 - train - INFO - Epoch: 49 | Test Loss: 1.286 | Test Acc: 54.88%
248
+ 2025-03-09 20:00:16,712 - train - INFO - Epoch: 50 | Batch: 0 | Loss: 1.354 | Acc: 55.47%
249
+ 2025-03-09 20:00:18,651 - train - INFO - Epoch: 50 | Batch: 100 | Loss: 1.353 | Acc: 53.57%
250
+ 2025-03-09 20:00:20,584 - train - INFO - Epoch: 50 | Batch: 200 | Loss: 1.335 | Acc: 54.65%
251
+ 2025-03-09 20:00:22,491 - train - INFO - Epoch: 50 | Batch: 300 | Loss: 1.333 | Acc: 54.62%
252
+ 2025-03-09 20:00:25,512 - train - INFO - Epoch: 50 | Test Loss: 1.264 | Test Acc: 56.42%
253
+ 2025-03-09 20:00:25,692 - train - INFO - Epoch: 51 | Batch: 0 | Loss: 1.259 | Acc: 57.81%
254
+ 2025-03-09 20:00:27,737 - train - INFO - Epoch: 51 | Batch: 100 | Loss: 1.293 | Acc: 56.82%
255
+ 2025-03-09 20:00:29,766 - train - INFO - Epoch: 51 | Batch: 200 | Loss: 1.300 | Acc: 56.34%
256
+ 2025-03-09 20:00:31,756 - train - INFO - Epoch: 51 | Batch: 300 | Loss: 1.297 | Acc: 56.14%
257
+ 2025-03-09 20:00:34,929 - train - INFO - Epoch: 51 | Test Loss: 1.223 | Test Acc: 57.27%
258
+ 2025-03-09 20:00:35,118 - train - INFO - Epoch: 52 | Batch: 0 | Loss: 1.323 | Acc: 55.47%
259
+ 2025-03-09 20:00:37,282 - train - INFO - Epoch: 52 | Batch: 100 | Loss: 1.299 | Acc: 55.91%
260
+ 2025-03-09 20:00:39,484 - train - INFO - Epoch: 52 | Batch: 200 | Loss: 1.289 | Acc: 56.01%
261
+ 2025-03-09 20:00:41,515 - train - INFO - Epoch: 52 | Batch: 300 | Loss: 1.293 | Acc: 55.98%
262
+ 2025-03-09 20:00:44,482 - train - INFO - Epoch: 52 | Test Loss: 1.310 | Test Acc: 55.00%
263
+ 2025-03-09 20:00:52,924 - train - INFO - Epoch: 53 | Batch: 0 | Loss: 1.438 | Acc: 50.00%
264
+ 2025-03-09 20:00:55,121 - train - INFO - Epoch: 53 | Batch: 100 | Loss: 1.297 | Acc: 56.12%
265
+ 2025-03-09 20:00:57,170 - train - INFO - Epoch: 53 | Batch: 200 | Loss: 1.306 | Acc: 55.61%
266
+ 2025-03-09 20:00:59,086 - train - INFO - Epoch: 53 | Batch: 300 | Loss: 1.310 | Acc: 55.32%
267
+ 2025-03-09 20:01:01,976 - train - INFO - Epoch: 53 | Test Loss: 1.293 | Test Acc: 55.28%
268
+ 2025-03-09 20:01:02,134 - train - INFO - Epoch: 54 | Batch: 0 | Loss: 1.311 | Acc: 53.91%
269
+ 2025-03-09 20:01:04,118 - train - INFO - Epoch: 54 | Batch: 100 | Loss: 1.335 | Acc: 54.83%
270
+ 2025-03-09 20:01:06,123 - train - INFO - Epoch: 54 | Batch: 200 | Loss: 1.312 | Acc: 55.50%
271
+ 2025-03-09 20:01:08,143 - train - INFO - Epoch: 54 | Batch: 300 | Loss: 1.296 | Acc: 55.97%
272
+ 2025-03-09 20:01:11,377 - train - INFO - Epoch: 54 | Test Loss: 1.293 | Test Acc: 57.74%
273
+ 2025-03-09 20:01:11,543 - train - INFO - Epoch: 55 | Batch: 0 | Loss: 1.194 | Acc: 58.59%
274
+ 2025-03-09 20:01:13,621 - train - INFO - Epoch: 55 | Batch: 100 | Loss: 1.266 | Acc: 56.81%
275
+ 2025-03-09 20:01:15,599 - train - INFO - Epoch: 55 | Batch: 200 | Loss: 1.267 | Acc: 57.00%
276
+ 2025-03-09 20:01:17,646 - train - INFO - Epoch: 55 | Batch: 300 | Loss: 1.297 | Acc: 56.35%
277
+ 2025-03-09 20:01:20,601 - train - INFO - Epoch: 55 | Test Loss: 1.288 | Test Acc: 56.27%
278
+ 2025-03-09 20:01:20,778 - train - INFO - Epoch: 56 | Batch: 0 | Loss: 1.295 | Acc: 54.69%
279
+ 2025-03-09 20:01:22,676 - train - INFO - Epoch: 56 | Batch: 100 | Loss: 1.306 | Acc: 55.91%
280
+ 2025-03-09 20:01:24,633 - train - INFO - Epoch: 56 | Batch: 200 | Loss: 1.289 | Acc: 56.60%
281
+ 2025-03-09 20:01:26,625 - train - INFO - Epoch: 56 | Batch: 300 | Loss: 1.299 | Acc: 56.09%
282
+ 2025-03-09 20:01:29,991 - train - INFO - Epoch: 56 | Test Loss: 1.264 | Test Acc: 56.79%
283
+ 2025-03-09 20:01:38,741 - train - INFO - Epoch: 57 | Batch: 0 | Loss: 1.413 | Acc: 53.12%
284
+ 2025-03-09 20:01:40,895 - train - INFO - Epoch: 57 | Batch: 100 | Loss: 1.295 | Acc: 56.21%
285
+ 2025-03-09 20:01:43,111 - train - INFO - Epoch: 57 | Batch: 200 | Loss: 1.287 | Acc: 56.34%
286
+ 2025-03-09 20:01:45,114 - train - INFO - Epoch: 57 | Batch: 300 | Loss: 1.276 | Acc: 56.62%
287
+ 2025-03-09 20:01:48,333 - train - INFO - Epoch: 57 | Test Loss: 1.283 | Test Acc: 56.47%
288
+ 2025-03-09 20:01:48,483 - train - INFO - Epoch: 58 | Batch: 0 | Loss: 1.203 | Acc: 60.94%
289
+ 2025-03-09 20:01:50,350 - train - INFO - Epoch: 58 | Batch: 100 | Loss: 1.265 | Acc: 57.16%
290
+ 2025-03-09 20:01:52,319 - train - INFO - Epoch: 58 | Batch: 200 | Loss: 1.278 | Acc: 56.86%
291
+ 2025-03-09 20:01:54,253 - train - INFO - Epoch: 58 | Batch: 300 | Loss: 1.278 | Acc: 56.76%
292
+ 2025-03-09 20:01:57,139 - train - INFO - Epoch: 58 | Test Loss: 1.250 | Test Acc: 55.98%
293
+ 2025-03-09 20:01:57,294 - train - INFO - Epoch: 59 | Batch: 0 | Loss: 1.299 | Acc: 54.69%
294
+ 2025-03-09 20:01:59,177 - train - INFO - Epoch: 59 | Batch: 100 | Loss: 1.275 | Acc: 56.53%
295
+ 2025-03-09 20:02:01,061 - train - INFO - Epoch: 59 | Batch: 200 | Loss: 1.264 | Acc: 57.11%
296
+ 2025-03-09 20:02:03,013 - train - INFO - Epoch: 59 | Batch: 300 | Loss: 1.270 | Acc: 57.01%
297
+ 2025-03-09 20:02:05,873 - train - INFO - Epoch: 59 | Test Loss: 1.175 | Test Acc: 60.14%
298
+ 2025-03-09 20:02:06,084 - train - INFO - Epoch: 60 | Batch: 0 | Loss: 1.176 | Acc: 60.16%
299
+ 2025-03-09 20:02:08,156 - train - INFO - Epoch: 60 | Batch: 100 | Loss: 1.276 | Acc: 56.69%
300
+ 2025-03-09 20:02:10,235 - train - INFO - Epoch: 60 | Batch: 200 | Loss: 1.261 | Acc: 57.39%
301
+ 2025-03-09 20:02:12,262 - train - INFO - Epoch: 60 | Batch: 300 | Loss: 1.272 | Acc: 56.96%
302
+ 2025-03-09 20:02:15,547 - train - INFO - Epoch: 60 | Test Loss: 1.258 | Test Acc: 57.63%
303
+ 2025-03-09 20:02:24,176 - train - INFO - Epoch: 61 | Batch: 0 | Loss: 1.181 | Acc: 63.28%
304
+ 2025-03-09 20:02:26,274 - train - INFO - Epoch: 61 | Batch: 100 | Loss: 1.283 | Acc: 56.98%
305
+ 2025-03-09 20:02:28,240 - train - INFO - Epoch: 61 | Batch: 200 | Loss: 1.267 | Acc: 57.38%
306
+ 2025-03-09 20:02:30,146 - train - INFO - Epoch: 61 | Batch: 300 | Loss: 1.266 | Acc: 57.71%
307
+ 2025-03-09 20:02:33,184 - train - INFO - Epoch: 61 | Test Loss: 1.185 | Test Acc: 57.88%
308
+ 2025-03-09 20:02:33,361 - train - INFO - Epoch: 62 | Batch: 0 | Loss: 1.181 | Acc: 55.47%
309
+ 2025-03-09 20:02:35,405 - train - INFO - Epoch: 62 | Batch: 100 | Loss: 1.237 | Acc: 58.36%
310
+ 2025-03-09 20:02:37,431 - train - INFO - Epoch: 62 | Batch: 200 | Loss: 1.222 | Acc: 58.83%
311
+ 2025-03-09 20:02:39,492 - train - INFO - Epoch: 62 | Batch: 300 | Loss: 1.225 | Acc: 58.54%
312
+ 2025-03-09 20:02:42,962 - train - INFO - Epoch: 62 | Test Loss: 1.201 | Test Acc: 59.17%
313
+ 2025-03-09 20:02:43,194 - train - INFO - Epoch: 63 | Batch: 0 | Loss: 1.167 | Acc: 57.03%
314
+ 2025-03-09 20:02:45,381 - train - INFO - Epoch: 63 | Batch: 100 | Loss: 1.255 | Acc: 57.75%
315
+ 2025-03-09 20:02:47,427 - train - INFO - Epoch: 63 | Batch: 200 | Loss: 1.251 | Acc: 57.57%
316
+ 2025-03-09 20:02:49,782 - train - INFO - Epoch: 63 | Batch: 300 | Loss: 1.247 | Acc: 57.64%
317
+ 2025-03-09 20:02:52,930 - train - INFO - Epoch: 63 | Test Loss: 1.212 | Test Acc: 59.46%
318
+ 2025-03-09 20:02:53,093 - train - INFO - Epoch: 64 | Batch: 0 | Loss: 1.213 | Acc: 60.16%
319
+ 2025-03-09 20:02:54,979 - train - INFO - Epoch: 64 | Batch: 100 | Loss: 1.238 | Acc: 58.62%
320
+ 2025-03-09 20:02:56,924 - train - INFO - Epoch: 64 | Batch: 200 | Loss: 1.231 | Acc: 58.56%
321
+ 2025-03-09 20:02:59,004 - train - INFO - Epoch: 64 | Batch: 300 | Loss: 1.235 | Acc: 58.42%
322
+ 2025-03-09 20:03:02,027 - train - INFO - Epoch: 64 | Test Loss: 1.301 | Test Acc: 56.76%
323
+ 2025-03-09 20:03:11,492 - train - INFO - Epoch: 65 | Batch: 0 | Loss: 1.440 | Acc: 59.38%
324
+ 2025-03-09 20:03:13,589 - train - INFO - Epoch: 65 | Batch: 100 | Loss: 1.219 | Acc: 57.99%
325
+ 2025-03-09 20:03:15,758 - train - INFO - Epoch: 65 | Batch: 200 | Loss: 1.214 | Acc: 58.48%
326
+ 2025-03-09 20:03:17,811 - train - INFO - Epoch: 65 | Batch: 300 | Loss: 1.220 | Acc: 58.31%
327
+ 2025-03-09 20:03:20,962 - train - INFO - Epoch: 65 | Test Loss: 1.133 | Test Acc: 62.39%
328
+ 2025-03-09 20:03:21,151 - train - INFO - Epoch: 66 | Batch: 0 | Loss: 1.090 | Acc: 64.84%
329
+ 2025-03-09 20:03:23,279 - train - INFO - Epoch: 66 | Batch: 100 | Loss: 1.212 | Acc: 58.54%
330
+ 2025-03-09 20:03:25,314 - train - INFO - Epoch: 66 | Batch: 200 | Loss: 1.221 | Acc: 58.45%
331
+ 2025-03-09 20:03:27,262 - train - INFO - Epoch: 66 | Batch: 300 | Loss: 1.220 | Acc: 58.67%
332
+ 2025-03-09 20:03:30,250 - train - INFO - Epoch: 66 | Test Loss: 1.128 | Test Acc: 62.20%
333
+ 2025-03-09 20:03:30,427 - train - INFO - Epoch: 67 | Batch: 0 | Loss: 1.194 | Acc: 62.50%
334
+ 2025-03-09 20:03:32,409 - train - INFO - Epoch: 67 | Batch: 100 | Loss: 1.205 | Acc: 59.23%
335
+ 2025-03-09 20:03:34,525 - train - INFO - Epoch: 67 | Batch: 200 | Loss: 1.219 | Acc: 58.96%
336
+ 2025-03-09 20:03:36,669 - train - INFO - Epoch: 67 | Batch: 300 | Loss: 1.224 | Acc: 58.88%
337
+ 2025-03-09 20:03:40,213 - train - INFO - Epoch: 67 | Test Loss: 1.198 | Test Acc: 60.10%
338
+ 2025-03-09 20:03:40,438 - train - INFO - Epoch: 68 | Batch: 0 | Loss: 1.071 | Acc: 59.38%
339
+ 2025-03-09 20:03:42,654 - train - INFO - Epoch: 68 | Batch: 100 | Loss: 1.195 | Acc: 59.75%
340
+ 2025-03-09 20:03:44,633 - train - INFO - Epoch: 68 | Batch: 200 | Loss: 1.193 | Acc: 59.75%
341
+ 2025-03-09 20:03:46,611 - train - INFO - Epoch: 68 | Batch: 300 | Loss: 1.193 | Acc: 59.72%
342
+ 2025-03-09 20:03:49,635 - train - INFO - Epoch: 68 | Test Loss: 1.170 | Test Acc: 60.74%
343
+ 2025-03-09 20:03:58,030 - train - INFO - Epoch: 69 | Batch: 0 | Loss: 1.065 | Acc: 57.81%
344
+ 2025-03-09 20:04:00,061 - train - INFO - Epoch: 69 | Batch: 100 | Loss: 1.217 | Acc: 58.83%
345
+ 2025-03-09 20:04:01,977 - train - INFO - Epoch: 69 | Batch: 200 | Loss: 1.226 | Acc: 58.59%
346
+ 2025-03-09 20:04:03,999 - train - INFO - Epoch: 69 | Batch: 300 | Loss: 1.229 | Acc: 58.67%
347
+ 2025-03-09 20:04:07,214 - train - INFO - Epoch: 69 | Test Loss: 1.170 | Test Acc: 61.05%
348
+ 2025-03-09 20:04:07,420 - train - INFO - Epoch: 70 | Batch: 0 | Loss: 1.327 | Acc: 55.47%
349
+ 2025-03-09 20:04:09,428 - train - INFO - Epoch: 70 | Batch: 100 | Loss: 1.212 | Acc: 59.03%
350
+ 2025-03-09 20:04:11,490 - train - INFO - Epoch: 70 | Batch: 200 | Loss: 1.210 | Acc: 59.22%
351
+ 2025-03-09 20:04:13,652 - train - INFO - Epoch: 70 | Batch: 300 | Loss: 1.201 | Acc: 59.55%
352
+ 2025-03-09 20:04:16,600 - train - INFO - Epoch: 70 | Test Loss: 1.083 | Test Acc: 63.70%
353
+ 2025-03-09 20:04:16,780 - train - INFO - Epoch: 71 | Batch: 0 | Loss: 1.090 | Acc: 64.84%
354
+ 2025-03-09 20:04:18,739 - train - INFO - Epoch: 71 | Batch: 100 | Loss: 1.180 | Acc: 60.05%
355
+ 2025-03-09 20:04:20,670 - train - INFO - Epoch: 71 | Batch: 200 | Loss: 1.185 | Acc: 59.98%
356
+ 2025-03-09 20:04:22,543 - train - INFO - Epoch: 71 | Batch: 300 | Loss: 1.183 | Acc: 60.13%
357
+ 2025-03-09 20:04:25,494 - train - INFO - Epoch: 71 | Test Loss: 1.122 | Test Acc: 63.08%
358
+ 2025-03-09 20:04:25,672 - train - INFO - Epoch: 72 | Batch: 0 | Loss: 1.234 | Acc: 57.81%
359
+ 2025-03-09 20:04:27,737 - train - INFO - Epoch: 72 | Batch: 100 | Loss: 1.229 | Acc: 58.80%
360
+ 2025-03-09 20:04:29,724 - train - INFO - Epoch: 72 | Batch: 200 | Loss: 1.214 | Acc: 59.19%
361
+ 2025-03-09 20:04:31,711 - train - INFO - Epoch: 72 | Batch: 300 | Loss: 1.205 | Acc: 59.47%
362
+ 2025-03-09 20:04:35,205 - train - INFO - Epoch: 72 | Test Loss: 1.286 | Test Acc: 58.20%
363
+ 2025-03-09 20:04:44,301 - train - INFO - Epoch: 73 | Batch: 0 | Loss: 1.294 | Acc: 57.81%
364
+ 2025-03-09 20:04:46,184 - train - INFO - Epoch: 73 | Batch: 100 | Loss: 1.195 | Acc: 59.38%
365
+ 2025-03-09 20:04:48,292 - train - INFO - Epoch: 73 | Batch: 200 | Loss: 1.186 | Acc: 59.92%
366
+ 2025-03-09 20:04:50,218 - train - INFO - Epoch: 73 | Batch: 300 | Loss: 1.186 | Acc: 59.97%
367
+ 2025-03-09 20:04:53,168 - train - INFO - Epoch: 73 | Test Loss: 1.130 | Test Acc: 62.16%
368
+ 2025-03-09 20:04:53,370 - train - INFO - Epoch: 74 | Batch: 0 | Loss: 1.022 | Acc: 66.41%
369
+ 2025-03-09 20:04:55,408 - train - INFO - Epoch: 74 | Batch: 100 | Loss: 1.219 | Acc: 58.83%
370
+ 2025-03-09 20:04:57,367 - train - INFO - Epoch: 74 | Batch: 200 | Loss: 1.196 | Acc: 59.82%
371
+ 2025-03-09 20:04:59,411 - train - INFO - Epoch: 74 | Batch: 300 | Loss: 1.184 | Acc: 60.10%
372
+ 2025-03-09 20:05:02,780 - train - INFO - Epoch: 74 | Test Loss: 1.169 | Test Acc: 59.53%
373
+ 2025-03-09 20:05:02,956 - train - INFO - Epoch: 75 | Batch: 0 | Loss: 1.042 | Acc: 64.06%
374
+ 2025-03-09 20:05:04,928 - train - INFO - Epoch: 75 | Batch: 100 | Loss: 1.179 | Acc: 59.97%
375
+ 2025-03-09 20:05:07,026 - train - INFO - Epoch: 75 | Batch: 200 | Loss: 1.164 | Acc: 60.59%
376
+ 2025-03-09 20:05:09,052 - train - INFO - Epoch: 75 | Batch: 300 | Loss: 1.168 | Acc: 60.56%
377
+ 2025-03-09 20:05:12,486 - train - INFO - Epoch: 75 | Test Loss: 1.086 | Test Acc: 64.61%
378
+ 2025-03-09 20:05:12,668 - train - INFO - Epoch: 76 | Batch: 0 | Loss: 1.005 | Acc: 67.97%
379
+ 2025-03-09 20:05:14,872 - train - INFO - Epoch: 76 | Batch: 100 | Loss: 1.188 | Acc: 59.54%
380
+ 2025-03-09 20:05:17,020 - train - INFO - Epoch: 76 | Batch: 200 | Loss: 1.168 | Acc: 60.31%
381
+ 2025-03-09 20:05:18,884 - train - INFO - Epoch: 76 | Batch: 300 | Loss: 1.171 | Acc: 60.22%
382
+ 2025-03-09 20:05:21,857 - train - INFO - Epoch: 76 | Test Loss: 1.077 | Test Acc: 64.56%
383
+ 2025-03-09 20:05:30,426 - train - INFO - Epoch: 77 | Batch: 0 | Loss: 0.993 | Acc: 67.97%
384
+ 2025-03-09 20:05:32,481 - train - INFO - Epoch: 77 | Batch: 100 | Loss: 1.187 | Acc: 59.47%
385
+ 2025-03-09 20:05:34,515 - train - INFO - Epoch: 77 | Batch: 200 | Loss: 1.162 | Acc: 60.40%
386
+ 2025-03-09 20:05:36,603 - train - INFO - Epoch: 77 | Batch: 300 | Loss: 1.156 | Acc: 60.49%
387
+ 2025-03-09 20:05:39,781 - train - INFO - Epoch: 77 | Test Loss: 1.148 | Test Acc: 61.77%
388
+ 2025-03-09 20:05:39,985 - train - INFO - Epoch: 78 | Batch: 0 | Loss: 1.126 | Acc: 60.16%
389
+ 2025-03-09 20:05:41,942 - train - INFO - Epoch: 78 | Batch: 100 | Loss: 1.135 | Acc: 61.81%
390
+ 2025-03-09 20:05:43,948 - train - INFO - Epoch: 78 | Batch: 200 | Loss: 1.130 | Acc: 61.72%
391
+ 2025-03-09 20:05:46,120 - train - INFO - Epoch: 78 | Batch: 300 | Loss: 1.144 | Acc: 61.18%
392
+ 2025-03-09 20:05:49,313 - train - INFO - Epoch: 78 | Test Loss: 1.187 | Test Acc: 60.45%
393
+ 2025-03-09 20:05:49,505 - train - INFO - Epoch: 79 | Batch: 0 | Loss: 1.205 | Acc: 60.94%
394
+ 2025-03-09 20:05:51,476 - train - INFO - Epoch: 79 | Batch: 100 | Loss: 1.161 | Acc: 60.95%
395
+ 2025-03-09 20:05:53,457 - train - INFO - Epoch: 79 | Batch: 200 | Loss: 1.157 | Acc: 61.07%
396
+ 2025-03-09 20:05:55,418 - train - INFO - Epoch: 79 | Batch: 300 | Loss: 1.156 | Acc: 61.12%
397
+ 2025-03-09 20:05:58,509 - train - INFO - Epoch: 79 | Test Loss: 1.056 | Test Acc: 63.68%
398
+ 2025-03-09 20:05:58,686 - train - INFO - Epoch: 80 | Batch: 0 | Loss: 1.065 | Acc: 64.84%
399
+ 2025-03-09 20:06:00,797 - train - INFO - Epoch: 80 | Batch: 100 | Loss: 1.121 | Acc: 62.57%
400
+ 2025-03-09 20:06:02,773 - train - INFO - Epoch: 80 | Batch: 200 | Loss: 1.133 | Acc: 61.80%
401
+ 2025-03-09 20:06:04,652 - train - INFO - Epoch: 80 | Batch: 300 | Loss: 1.145 | Acc: 61.24%
402
+ 2025-03-09 20:06:07,896 - train - INFO - Epoch: 80 | Test Loss: 1.118 | Test Acc: 62.60%
403
+ 2025-03-09 20:06:17,187 - train - INFO - Epoch: 81 | Batch: 0 | Loss: 0.981 | Acc: 64.06%
404
+ 2025-03-09 20:06:19,096 - train - INFO - Epoch: 81 | Batch: 100 | Loss: 1.167 | Acc: 61.12%
405
+ 2025-03-09 20:06:21,115 - train - INFO - Epoch: 81 | Batch: 200 | Loss: 1.154 | Acc: 61.34%
406
+ 2025-03-09 20:06:23,095 - train - INFO - Epoch: 81 | Batch: 300 | Loss: 1.144 | Acc: 61.42%
407
+ 2025-03-09 20:06:26,187 - train - INFO - Epoch: 81 | Test Loss: 1.173 | Test Acc: 60.44%
408
+ 2025-03-09 20:06:26,358 - train - INFO - Epoch: 82 | Batch: 0 | Loss: 1.302 | Acc: 53.91%
409
+ 2025-03-09 20:06:28,368 - train - INFO - Epoch: 82 | Batch: 100 | Loss: 1.138 | Acc: 61.95%
410
+ 2025-03-09 20:06:30,300 - train - INFO - Epoch: 82 | Batch: 200 | Loss: 1.133 | Acc: 62.14%
411
+ 2025-03-09 20:06:32,316 - train - INFO - Epoch: 82 | Batch: 300 | Loss: 1.134 | Acc: 62.13%
412
+ 2025-03-09 20:06:35,449 - train - INFO - Epoch: 82 | Test Loss: 1.126 | Test Acc: 61.16%
413
+ 2025-03-09 20:06:35,669 - train - INFO - Epoch: 83 | Batch: 0 | Loss: 1.332 | Acc: 53.12%
414
+ 2025-03-09 20:06:37,637 - train - INFO - Epoch: 83 | Batch: 100 | Loss: 1.145 | Acc: 60.94%
415
+ 2025-03-09 20:06:39,716 - train - INFO - Epoch: 83 | Batch: 200 | Loss: 1.138 | Acc: 61.66%
416
+ 2025-03-09 20:06:41,791 - train - INFO - Epoch: 83 | Batch: 300 | Loss: 1.143 | Acc: 61.64%
417
+ 2025-03-09 20:06:44,690 - train - INFO - Epoch: 83 | Test Loss: 1.201 | Test Acc: 61.08%
418
+ 2025-03-09 20:06:44,856 - train - INFO - Epoch: 84 | Batch: 0 | Loss: 1.367 | Acc: 61.72%
419
+ 2025-03-09 20:06:46,837 - train - INFO - Epoch: 84 | Batch: 100 | Loss: 1.157 | Acc: 61.66%
420
+ 2025-03-09 20:06:48,817 - train - INFO - Epoch: 84 | Batch: 200 | Loss: 1.129 | Acc: 62.19%
421
+ 2025-03-09 20:06:50,922 - train - INFO - Epoch: 84 | Batch: 300 | Loss: 1.124 | Acc: 62.21%
422
+ 2025-03-09 20:06:54,051 - train - INFO - Epoch: 84 | Test Loss: 1.030 | Test Acc: 65.83%
423
+ 2025-03-09 20:07:03,364 - train - INFO - Epoch: 85 | Batch: 0 | Loss: 0.997 | Acc: 66.41%
424
+ 2025-03-09 20:07:06,169 - train - INFO - Epoch: 85 | Batch: 100 | Loss: 1.102 | Acc: 62.93%
425
+ 2025-03-09 20:07:08,295 - train - INFO - Epoch: 85 | Batch: 200 | Loss: 1.099 | Acc: 62.92%
426
+ 2025-03-09 20:07:10,316 - train - INFO - Epoch: 85 | Batch: 300 | Loss: 1.100 | Acc: 62.74%
427
+ 2025-03-09 20:07:13,443 - train - INFO - Epoch: 85 | Test Loss: 0.993 | Test Acc: 66.24%
428
+ 2025-03-09 20:07:13,613 - train - INFO - Epoch: 86 | Batch: 0 | Loss: 0.879 | Acc: 66.41%
429
+ 2025-03-09 20:07:15,530 - train - INFO - Epoch: 86 | Batch: 100 | Loss: 1.070 | Acc: 63.68%
430
+ 2025-03-09 20:07:17,620 - train - INFO - Epoch: 86 | Batch: 200 | Loss: 1.082 | Acc: 63.56%
431
+ 2025-03-09 20:07:19,568 - train - INFO - Epoch: 86 | Batch: 300 | Loss: 1.095 | Acc: 63.20%
432
+ 2025-03-09 20:07:22,857 - train - INFO - Epoch: 86 | Test Loss: 1.084 | Test Acc: 64.14%
433
+ 2025-03-09 20:07:23,032 - train - INFO - Epoch: 87 | Batch: 0 | Loss: 1.100 | Acc: 59.38%
434
+ 2025-03-09 20:07:25,120 - train - INFO - Epoch: 87 | Batch: 100 | Loss: 1.086 | Acc: 62.84%
435
+ 2025-03-09 20:07:27,174 - train - INFO - Epoch: 87 | Batch: 200 | Loss: 1.096 | Acc: 62.75%
436
+ 2025-03-09 20:07:29,361 - train - INFO - Epoch: 87 | Batch: 300 | Loss: 1.107 | Acc: 62.41%
437
+ 2025-03-09 20:07:32,701 - train - INFO - Epoch: 87 | Test Loss: 1.017 | Test Acc: 66.01%
438
+ 2025-03-09 20:07:32,864 - train - INFO - Epoch: 88 | Batch: 0 | Loss: 0.993 | Acc: 71.88%
439
+ 2025-03-09 20:07:34,869 - train - INFO - Epoch: 88 | Batch: 100 | Loss: 1.064 | Acc: 64.05%
440
+ 2025-03-09 20:07:36,860 - train - INFO - Epoch: 88 | Batch: 200 | Loss: 1.078 | Acc: 63.53%
441
+ 2025-03-09 20:07:38,850 - train - INFO - Epoch: 88 | Batch: 300 | Loss: 1.093 | Acc: 63.05%
442
+ 2025-03-09 20:07:41,861 - train - INFO - Epoch: 88 | Test Loss: 0.984 | Test Acc: 67.59%
443
+ 2025-03-09 20:07:50,269 - train - INFO - Epoch: 89 | Batch: 0 | Loss: 1.033 | Acc: 64.06%
444
+ 2025-03-09 20:07:52,348 - train - INFO - Epoch: 89 | Batch: 100 | Loss: 1.060 | Acc: 64.22%
445
+ 2025-03-09 20:07:54,441 - train - INFO - Epoch: 89 | Batch: 200 | Loss: 1.060 | Acc: 64.06%
446
+ 2025-03-09 20:07:56,483 - train - INFO - Epoch: 89 | Batch: 300 | Loss: 1.066 | Acc: 63.70%
447
+ 2025-03-09 20:07:59,622 - train - INFO - Epoch: 89 | Test Loss: 1.052 | Test Acc: 65.01%
448
+ 2025-03-09 20:07:59,816 - train - INFO - Epoch: 90 | Batch: 0 | Loss: 1.035 | Acc: 65.62%
449
+ 2025-03-09 20:08:02,021 - train - INFO - Epoch: 90 | Batch: 100 | Loss: 1.072 | Acc: 64.50%
450
+ 2025-03-09 20:08:04,109 - train - INFO - Epoch: 90 | Batch: 200 | Loss: 1.073 | Acc: 63.96%
451
+ 2025-03-09 20:08:06,098 - train - INFO - Epoch: 90 | Batch: 300 | Loss: 1.079 | Acc: 63.72%
452
+ 2025-03-09 20:08:09,147 - train - INFO - Epoch: 90 | Test Loss: 0.991 | Test Acc: 67.06%
453
+ 2025-03-09 20:08:09,323 - train - INFO - Epoch: 91 | Batch: 0 | Loss: 1.019 | Acc: 66.41%
454
+ 2025-03-09 20:08:11,288 - train - INFO - Epoch: 91 | Batch: 100 | Loss: 1.040 | Acc: 64.88%
455
+ 2025-03-09 20:08:13,266 - train - INFO - Epoch: 91 | Batch: 200 | Loss: 1.043 | Acc: 64.61%
456
+ 2025-03-09 20:08:15,248 - train - INFO - Epoch: 91 | Batch: 300 | Loss: 1.056 | Acc: 64.13%
457
+ 2025-03-09 20:08:18,420 - train - INFO - Epoch: 91 | Test Loss: 1.099 | Test Acc: 63.08%
458
+ 2025-03-09 20:08:18,624 - train - INFO - Epoch: 92 | Batch: 0 | Loss: 1.044 | Acc: 68.75%
459
+ 2025-03-09 20:08:20,632 - train - INFO - Epoch: 92 | Batch: 100 | Loss: 1.055 | Acc: 64.34%
460
+ 2025-03-09 20:08:22,645 - train - INFO - Epoch: 92 | Batch: 200 | Loss: 1.051 | Acc: 64.52%
461
+ 2025-03-09 20:08:24,710 - train - INFO - Epoch: 92 | Batch: 300 | Loss: 1.063 | Acc: 63.84%
462
+ 2025-03-09 20:08:27,778 - train - INFO - Epoch: 92 | Test Loss: 1.023 | Test Acc: 65.02%
463
+ 2025-03-09 20:08:36,292 - train - INFO - Epoch: 93 | Batch: 0 | Loss: 1.010 | Acc: 64.06%
464
+ 2025-03-09 20:08:38,381 - train - INFO - Epoch: 93 | Batch: 100 | Loss: 1.084 | Acc: 63.50%
465
+ 2025-03-09 20:08:40,403 - train - INFO - Epoch: 93 | Batch: 200 | Loss: 1.055 | Acc: 64.34%
466
+ 2025-03-09 20:08:42,384 - train - INFO - Epoch: 93 | Batch: 300 | Loss: 1.055 | Acc: 64.37%
467
+ 2025-03-09 20:08:45,302 - train - INFO - Epoch: 93 | Test Loss: 1.040 | Test Acc: 65.43%
468
+ 2025-03-09 20:08:45,476 - train - INFO - Epoch: 94 | Batch: 0 | Loss: 1.013 | Acc: 66.41%
469
+ 2025-03-09 20:08:47,512 - train - INFO - Epoch: 94 | Batch: 100 | Loss: 1.048 | Acc: 64.67%
470
+ 2025-03-09 20:08:49,355 - train - INFO - Epoch: 94 | Batch: 200 | Loss: 1.034 | Acc: 64.90%
471
+ 2025-03-09 20:08:51,320 - train - INFO - Epoch: 94 | Batch: 300 | Loss: 1.032 | Acc: 65.03%
472
+ 2025-03-09 20:08:54,352 - train - INFO - Epoch: 94 | Test Loss: 1.007 | Test Acc: 65.77%
473
+ 2025-03-09 20:08:54,532 - train - INFO - Epoch: 95 | Batch: 0 | Loss: 0.963 | Acc: 68.75%
474
+ 2025-03-09 20:08:56,486 - train - INFO - Epoch: 95 | Batch: 100 | Loss: 1.044 | Acc: 64.52%
475
+ 2025-03-09 20:08:58,522 - train - INFO - Epoch: 95 | Batch: 200 | Loss: 1.059 | Acc: 64.16%
476
+ 2025-03-09 20:09:00,641 - train - INFO - Epoch: 95 | Batch: 300 | Loss: 1.046 | Acc: 64.58%
477
+ 2025-03-09 20:09:03,741 - train - INFO - Epoch: 95 | Test Loss: 1.032 | Test Acc: 65.96%
478
+ 2025-03-09 20:09:03,950 - train - INFO - Epoch: 96 | Batch: 0 | Loss: 0.983 | Acc: 65.62%
479
+ 2025-03-09 20:09:05,855 - train - INFO - Epoch: 96 | Batch: 100 | Loss: 1.032 | Acc: 64.93%
480
+ 2025-03-09 20:09:07,774 - train - INFO - Epoch: 96 | Batch: 200 | Loss: 1.017 | Acc: 65.41%
481
+ 2025-03-09 20:09:09,825 - train - INFO - Epoch: 96 | Batch: 300 | Loss: 1.017 | Acc: 65.49%
482
+ 2025-03-09 20:09:12,898 - train - INFO - Epoch: 96 | Test Loss: 1.003 | Test Acc: 65.83%
483
+ 2025-03-09 20:09:21,539 - train - INFO - Epoch: 97 | Batch: 0 | Loss: 0.992 | Acc: 66.41%
484
+ 2025-03-09 20:09:23,513 - train - INFO - Epoch: 97 | Batch: 100 | Loss: 1.008 | Acc: 65.87%
485
+ 2025-03-09 20:09:25,738 - train - INFO - Epoch: 97 | Batch: 200 | Loss: 1.015 | Acc: 65.68%
486
+ 2025-03-09 20:09:27,822 - train - INFO - Epoch: 97 | Batch: 300 | Loss: 1.024 | Acc: 65.47%
487
+ 2025-03-09 20:09:31,131 - train - INFO - Epoch: 97 | Test Loss: 0.978 | Test Acc: 67.57%
488
+ 2025-03-09 20:09:31,294 - train - INFO - Epoch: 98 | Batch: 0 | Loss: 0.893 | Acc: 67.97%
489
+ 2025-03-09 20:09:33,256 - train - INFO - Epoch: 98 | Batch: 100 | Loss: 1.005 | Acc: 65.52%
490
+ 2025-03-09 20:09:35,255 - train - INFO - Epoch: 98 | Batch: 200 | Loss: 1.003 | Acc: 65.77%
491
+ 2025-03-09 20:09:37,222 - train - INFO - Epoch: 98 | Batch: 300 | Loss: 1.001 | Acc: 66.07%
492
+ 2025-03-09 20:09:40,328 - train - INFO - Epoch: 98 | Test Loss: 0.932 | Test Acc: 68.67%
493
+ 2025-03-09 20:09:40,520 - train - INFO - Epoch: 99 | Batch: 0 | Loss: 0.896 | Acc: 66.41%
494
+ 2025-03-09 20:09:42,505 - train - INFO - Epoch: 99 | Batch: 100 | Loss: 1.014 | Acc: 65.79%
495
+ 2025-03-09 20:09:44,453 - train - INFO - Epoch: 99 | Batch: 200 | Loss: 1.009 | Acc: 65.97%
496
+ 2025-03-09 20:09:46,594 - train - INFO - Epoch: 99 | Batch: 300 | Loss: 1.004 | Acc: 65.94%
497
+ 2025-03-09 20:09:49,671 - train - INFO - Epoch: 99 | Test Loss: 0.956 | Test Acc: 68.30%
498
+ 2025-03-09 20:09:49,866 - train - INFO - Epoch: 100 | Batch: 0 | Loss: 0.916 | Acc: 69.53%
499
+ 2025-03-09 20:09:52,093 - train - INFO - Epoch: 100 | Batch: 100 | Loss: 1.005 | Acc: 65.68%
500
+ 2025-03-09 20:09:54,201 - train - INFO - Epoch: 100 | Batch: 200 | Loss: 0.994 | Acc: 66.23%
501
+ 2025-03-09 20:09:56,269 - train - INFO - Epoch: 100 | Batch: 300 | Loss: 0.995 | Acc: 66.23%
502
+ 2025-03-09 20:09:59,443 - train - INFO - Epoch: 100 | Test Loss: 1.019 | Test Acc: 66.05%
503
+ 2025-03-09 20:10:08,141 - train - INFO - 训练完成!
Image/AlexNet/code/train.py CHANGED
@@ -24,7 +24,8 @@ def main():
24
  lr=args.lr,
25
  device=f'cuda:{args.gpu}',
26
  save_dir='../model',
27
- model_name='alexnet'
 
28
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29
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30
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  lr=args.lr,
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  device=f'cuda:{args.gpu}',
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  save_dir='../model',
27
+ model_name='alexnet',
28
+ layer_name='conv3.2'
29
  )
30
  elif args.train_type == '1':
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