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code-philia
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mtpnet_image_models

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1 Parent(s): 6052a73

alexnet backdoor

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  1. Image/AlexNet/code/backdoor_train.log +503 -0
  2. Image/AlexNet/code/train.py +1 -1
  3. Image/AlexNet/model/2/epoch1/embeddings.npy +3 -0
  4. Image/AlexNet/model/2/epoch1/subject_model.pth +3 -0
  5. Image/AlexNet/model/2/epoch10/embeddings.npy +3 -0
  6. Image/AlexNet/model/2/epoch10/subject_model.pth +3 -0
  7. Image/AlexNet/model/2/epoch11/embeddings.npy +3 -0
  8. Image/AlexNet/model/2/epoch11/subject_model.pth +3 -0
  9. Image/AlexNet/model/2/epoch12/embeddings.npy +3 -0
  10. Image/AlexNet/model/2/epoch12/subject_model.pth +3 -0
  11. Image/AlexNet/model/2/epoch13/embeddings.npy +3 -0
  12. Image/AlexNet/model/2/epoch13/subject_model.pth +3 -0
  13. Image/AlexNet/model/2/epoch14/embeddings.npy +3 -0
  14. Image/AlexNet/model/2/epoch14/subject_model.pth +3 -0
  15. Image/AlexNet/model/2/epoch15/embeddings.npy +3 -0
  16. Image/AlexNet/model/2/epoch15/subject_model.pth +3 -0
  17. Image/AlexNet/model/2/epoch16/embeddings.npy +3 -0
  18. Image/AlexNet/model/2/epoch16/subject_model.pth +3 -0
  19. Image/AlexNet/model/2/epoch17/embeddings.npy +3 -0
  20. Image/AlexNet/model/2/epoch17/subject_model.pth +3 -0
  21. Image/AlexNet/model/2/epoch18/embeddings.npy +3 -0
  22. Image/AlexNet/model/2/epoch18/subject_model.pth +3 -0
  23. Image/AlexNet/model/2/epoch19/embeddings.npy +3 -0
  24. Image/AlexNet/model/2/epoch19/subject_model.pth +3 -0
  25. Image/AlexNet/model/2/epoch2/embeddings.npy +3 -0
  26. Image/AlexNet/model/2/epoch2/subject_model.pth +3 -0
  27. Image/AlexNet/model/2/epoch20/embeddings.npy +3 -0
  28. Image/AlexNet/model/2/epoch20/subject_model.pth +3 -0
  29. Image/AlexNet/model/2/epoch21/embeddings.npy +3 -0
  30. Image/AlexNet/model/2/epoch21/subject_model.pth +3 -0
  31. Image/AlexNet/model/2/epoch22/embeddings.npy +3 -0
  32. Image/AlexNet/model/2/epoch22/subject_model.pth +3 -0
  33. Image/AlexNet/model/2/epoch23/embeddings.npy +3 -0
  34. Image/AlexNet/model/2/epoch23/subject_model.pth +3 -0
  35. Image/AlexNet/model/2/epoch24/embeddings.npy +3 -0
  36. Image/AlexNet/model/2/epoch24/subject_model.pth +3 -0
  37. Image/AlexNet/model/2/epoch25/embeddings.npy +3 -0
  38. Image/AlexNet/model/2/epoch25/subject_model.pth +3 -0
  39. Image/AlexNet/model/2/epoch3/embeddings.npy +3 -0
  40. Image/AlexNet/model/2/epoch3/subject_model.pth +3 -0
  41. Image/AlexNet/model/2/epoch4/embeddings.npy +3 -0
  42. Image/AlexNet/model/2/epoch4/subject_model.pth +3 -0
  43. Image/AlexNet/model/2/epoch5/embeddings.npy +3 -0
  44. Image/AlexNet/model/2/epoch5/subject_model.pth +3 -0
  45. Image/AlexNet/model/2/epoch6/embeddings.npy +3 -0
  46. Image/AlexNet/model/2/epoch6/subject_model.pth +3 -0
  47. Image/AlexNet/model/2/epoch7/embeddings.npy +3 -0
  48. Image/AlexNet/model/2/epoch7/subject_model.pth +3 -0
  49. Image/AlexNet/model/2/epoch8/embeddings.npy +3 -0
  50. Image/AlexNet/model/2/epoch8/subject_model.pth +3 -0
Image/AlexNet/code/backdoor_train.log ADDED
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1
+ 2025-03-09 20:19:12,058 - train - INFO - 开始训练 alexnet
2
+ 2025-03-09 20:19:12,058 - train - INFO - 总轮数: 100, 学习率: 0.1, 设备: cuda:2
3
+ 2025-03-09 20:19:12,675 - train - INFO - Epoch: 1 | Batch: 0 | Loss: 2.303 | Acc: 16.41%
4
+ 2025-03-09 20:19:14,626 - train - INFO - Epoch: 1 | Batch: 100 | Loss: 2.271 | Acc: 18.68%
5
+ 2025-03-09 20:19:16,523 - train - INFO - Epoch: 1 | Batch: 200 | Loss: 2.251 | Acc: 19.08%
6
+ 2025-03-09 20:19:18,515 - train - INFO - Epoch: 1 | Batch: 300 | Loss: 2.190 | Acc: 19.65%
7
+ 2025-03-09 20:19:21,395 - train - INFO - Epoch: 1 | Test Loss: 1.966 | Test Acc: 18.53%
8
+ 2025-03-09 20:19:21,531 - train - INFO - Epoch: 2 | Batch: 0 | Loss: 2.000 | Acc: 20.31%
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+ 2025-03-09 20:19:23,427 - train - INFO - Epoch: 2 | Batch: 100 | Loss: 1.985 | Acc: 20.66%
10
+ 2025-03-09 20:19:25,413 - train - INFO - Epoch: 2 | Batch: 200 | Loss: 1.976 | Acc: 20.93%
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+ 2025-03-09 20:19:27,414 - train - INFO - Epoch: 2 | Batch: 300 | Loss: 1.963 | Acc: 21.40%
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+ 2025-03-09 20:19:30,365 - train - INFO - Epoch: 2 | Test Loss: 1.889 | Test Acc: 20.28%
13
+ 2025-03-09 20:19:30,566 - train - INFO - Epoch: 3 | Batch: 0 | Loss: 1.928 | Acc: 26.56%
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+ 2025-03-09 20:19:33,166 - train - INFO - Epoch: 3 | Batch: 100 | Loss: 1.907 | Acc: 24.49%
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+ 2025-03-09 20:19:35,301 - train - INFO - Epoch: 3 | Batch: 200 | Loss: 1.885 | Acc: 25.66%
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+ 2025-03-09 20:19:37,244 - train - INFO - Epoch: 3 | Batch: 300 | Loss: 1.861 | Acc: 26.84%
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+ 2025-03-09 20:19:40,542 - train - INFO - Epoch: 3 | Test Loss: 1.751 | Test Acc: 28.73%
18
+ 2025-03-09 20:19:40,699 - train - INFO - Epoch: 4 | Batch: 0 | Loss: 1.752 | Acc: 31.25%
19
+ 2025-03-09 20:19:42,615 - train - INFO - Epoch: 4 | Batch: 100 | Loss: 1.688 | Acc: 34.92%
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+ 2025-03-09 20:19:44,581 - train - INFO - Epoch: 4 | Batch: 200 | Loss: 1.674 | Acc: 35.46%
21
+ 2025-03-09 20:19:46,517 - train - INFO - Epoch: 4 | Batch: 300 | Loss: 1.670 | Acc: 35.93%
22
+ 2025-03-09 20:19:49,443 - train - INFO - Epoch: 4 | Test Loss: 1.597 | Test Acc: 40.89%
23
+ 2025-03-09 20:19:57,639 - train - INFO - Epoch: 5 | Batch: 0 | Loss: 1.450 | Acc: 47.66%
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+ 2025-03-09 20:19:59,573 - train - INFO - Epoch: 5 | Batch: 100 | Loss: 1.591 | Acc: 40.60%
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+ 2025-03-09 20:20:01,613 - train - INFO - Epoch: 5 | Batch: 200 | Loss: 1.572 | Acc: 41.28%
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+ 2025-03-09 20:20:03,589 - train - INFO - Epoch: 5 | Batch: 300 | Loss: 1.564 | Acc: 41.79%
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+ 2025-03-09 20:20:06,878 - train - INFO - Epoch: 5 | Test Loss: 1.498 | Test Acc: 46.10%
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+ 2025-03-09 20:20:07,049 - train - INFO - Epoch: 6 | Batch: 0 | Loss: 1.323 | Acc: 53.12%
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+ 2025-03-09 20:20:09,159 - train - INFO - Epoch: 6 | Batch: 100 | Loss: 1.504 | Acc: 44.93%
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+ 2025-03-09 20:20:11,263 - train - INFO - Epoch: 6 | Batch: 200 | Loss: 1.507 | Acc: 45.20%
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+ 2025-03-09 20:20:13,313 - train - INFO - Epoch: 6 | Batch: 300 | Loss: 1.511 | Acc: 45.22%
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+ 2025-03-09 20:20:16,255 - train - INFO - Epoch: 6 | Test Loss: 1.616 | Test Acc: 43.10%
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+ 2025-03-09 20:20:16,412 - train - INFO - Epoch: 7 | Batch: 0 | Loss: 1.604 | Acc: 40.62%
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+ 2025-03-09 20:20:18,415 - train - INFO - Epoch: 7 | Batch: 100 | Loss: 1.507 | Acc: 44.99%
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+ 2025-03-09 20:20:20,351 - train - INFO - Epoch: 7 | Batch: 200 | Loss: 1.481 | Acc: 46.18%
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+ 2025-03-09 20:20:22,266 - train - INFO - Epoch: 7 | Batch: 300 | Loss: 1.494 | Acc: 46.05%
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+ 2025-03-09 20:20:25,325 - train - INFO - Epoch: 7 | Test Loss: 1.543 | Test Acc: 43.40%
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+ 2025-03-09 20:20:25,492 - train - INFO - Epoch: 8 | Batch: 0 | Loss: 1.399 | Acc: 49.22%
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+ 2025-03-09 20:20:27,700 - train - INFO - Epoch: 8 | Batch: 100 | Loss: 1.477 | Acc: 47.11%
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+ 2025-03-09 20:20:29,710 - train - INFO - Epoch: 8 | Batch: 200 | Loss: 1.464 | Acc: 47.44%
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+ 2025-03-09 20:20:31,913 - train - INFO - Epoch: 8 | Batch: 300 | Loss: 1.461 | Acc: 47.83%
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+ 2025-03-09 20:20:35,491 - train - INFO - Epoch: 8 | Test Loss: 1.713 | Test Acc: 42.90%
43
+ 2025-03-09 20:20:44,721 - train - INFO - Epoch: 9 | Batch: 0 | Loss: 1.387 | Acc: 50.78%
44
+ 2025-03-09 20:20:46,712 - train - INFO - Epoch: 9 | Batch: 100 | Loss: 1.450 | Acc: 48.65%
45
+ 2025-03-09 20:20:48,602 - train - INFO - Epoch: 9 | Batch: 200 | Loss: 1.446 | Acc: 48.56%
46
+ 2025-03-09 20:20:50,410 - train - INFO - Epoch: 9 | Batch: 300 | Loss: 1.449 | Acc: 48.34%
47
+ 2025-03-09 20:20:53,243 - train - INFO - Epoch: 9 | Test Loss: 1.560 | Test Acc: 44.42%
48
+ 2025-03-09 20:20:53,419 - train - INFO - Epoch: 10 | Batch: 0 | Loss: 1.467 | Acc: 47.66%
49
+ 2025-03-09 20:20:55,289 - train - INFO - Epoch: 10 | Batch: 100 | Loss: 1.438 | Acc: 48.78%
50
+ 2025-03-09 20:20:57,200 - train - INFO - Epoch: 10 | Batch: 200 | Loss: 1.437 | Acc: 49.22%
51
+ 2025-03-09 20:20:59,140 - train - INFO - Epoch: 10 | Batch: 300 | Loss: 1.425 | Acc: 49.63%
52
+ 2025-03-09 20:21:02,190 - train - INFO - Epoch: 10 | Test Loss: 1.399 | Test Acc: 51.59%
53
+ 2025-03-09 20:21:02,359 - train - INFO - Epoch: 11 | Batch: 0 | Loss: 1.214 | Acc: 60.94%
54
+ 2025-03-09 20:21:04,254 - train - INFO - Epoch: 11 | Batch: 100 | Loss: 1.449 | Acc: 48.41%
55
+ 2025-03-09 20:21:06,162 - train - INFO - Epoch: 11 | Batch: 200 | Loss: 1.457 | Acc: 48.33%
56
+ 2025-03-09 20:21:08,031 - train - INFO - Epoch: 11 | Batch: 300 | Loss: 1.449 | Acc: 48.74%
57
+ 2025-03-09 20:21:11,037 - train - INFO - Epoch: 11 | Test Loss: 1.485 | Test Acc: 49.63%
58
+ 2025-03-09 20:21:11,206 - train - INFO - Epoch: 12 | Batch: 0 | Loss: 1.293 | Acc: 51.56%
59
+ 2025-03-09 20:21:13,154 - train - INFO - Epoch: 12 | Batch: 100 | Loss: 1.422 | Acc: 50.02%
60
+ 2025-03-09 20:21:15,086 - train - INFO - Epoch: 12 | Batch: 200 | Loss: 1.406 | Acc: 50.85%
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+ 2025-03-09 20:21:17,146 - train - INFO - Epoch: 12 | Batch: 300 | Loss: 1.413 | Acc: 50.54%
62
+ 2025-03-09 20:21:20,196 - train - INFO - Epoch: 12 | Test Loss: 1.515 | Test Acc: 46.31%
63
+ 2025-03-09 20:21:28,840 - train - INFO - Epoch: 13 | Batch: 0 | Loss: 1.368 | Acc: 46.88%
64
+ 2025-03-09 20:21:30,993 - train - INFO - Epoch: 13 | Batch: 100 | Loss: 1.425 | Acc: 50.31%
65
+ 2025-03-09 20:21:33,129 - train - INFO - Epoch: 13 | Batch: 200 | Loss: 1.418 | Acc: 50.51%
66
+ 2025-03-09 20:21:35,080 - train - INFO - Epoch: 13 | Batch: 300 | Loss: 1.422 | Acc: 50.37%
67
+ 2025-03-09 20:21:38,299 - train - INFO - Epoch: 13 | Test Loss: 1.688 | Test Acc: 43.65%
68
+ 2025-03-09 20:21:38,495 - train - INFO - Epoch: 14 | Batch: 0 | Loss: 1.597 | Acc: 46.88%
69
+ 2025-03-09 20:21:40,470 - train - INFO - Epoch: 14 | Batch: 100 | Loss: 1.417 | Acc: 50.60%
70
+ 2025-03-09 20:21:42,443 - train - INFO - Epoch: 14 | Batch: 200 | Loss: 1.441 | Acc: 49.58%
71
+ 2025-03-09 20:21:44,403 - train - INFO - Epoch: 14 | Batch: 300 | Loss: 1.439 | Acc: 49.61%
72
+ 2025-03-09 20:21:47,387 - train - INFO - Epoch: 14 | Test Loss: 1.390 | Test Acc: 53.03%
73
+ 2025-03-09 20:21:47,552 - train - INFO - Epoch: 15 | Batch: 0 | Loss: 1.497 | Acc: 50.78%
74
+ 2025-03-09 20:21:49,502 - train - INFO - Epoch: 15 | Batch: 100 | Loss: 1.401 | Acc: 51.78%
75
+ 2025-03-09 20:21:51,470 - train - INFO - Epoch: 15 | Batch: 200 | Loss: 1.405 | Acc: 51.27%
76
+ 2025-03-09 20:21:53,392 - train - INFO - Epoch: 15 | Batch: 300 | Loss: 1.413 | Acc: 51.07%
77
+ 2025-03-09 20:21:56,330 - train - INFO - Epoch: 15 | Test Loss: 1.420 | Test Acc: 51.08%
78
+ 2025-03-09 20:21:56,494 - train - INFO - Epoch: 16 | Batch: 0 | Loss: 1.452 | Acc: 45.31%
79
+ 2025-03-09 20:21:58,628 - train - INFO - Epoch: 16 | Batch: 100 | Loss: 1.414 | Acc: 50.87%
80
+ 2025-03-09 20:22:00,738 - train - INFO - Epoch: 16 | Batch: 200 | Loss: 1.409 | Acc: 51.10%
81
+ 2025-03-09 20:22:02,889 - train - INFO - Epoch: 16 | Batch: 300 | Loss: 1.410 | Acc: 51.06%
82
+ 2025-03-09 20:22:06,141 - train - INFO - Epoch: 16 | Test Loss: 1.340 | Test Acc: 54.35%
83
+ 2025-03-09 20:22:15,047 - train - INFO - Epoch: 17 | Batch: 0 | Loss: 1.409 | Acc: 50.00%
84
+ 2025-03-09 20:22:17,210 - train - INFO - Epoch: 17 | Batch: 100 | Loss: 1.392 | Acc: 52.21%
85
+ 2025-03-09 20:22:19,647 - train - INFO - Epoch: 17 | Batch: 200 | Loss: 1.388 | Acc: 52.15%
86
+ 2025-03-09 20:22:21,842 - train - INFO - Epoch: 17 | Batch: 300 | Loss: 1.386 | Acc: 52.22%
87
+ 2025-03-09 20:22:25,119 - train - INFO - Epoch: 17 | Test Loss: 1.341 | Test Acc: 53.27%
88
+ 2025-03-09 20:22:25,281 - train - INFO - Epoch: 18 | Batch: 0 | Loss: 1.476 | Acc: 46.09%
89
+ 2025-03-09 20:22:27,733 - train - INFO - Epoch: 18 | Batch: 100 | Loss: 1.405 | Acc: 52.00%
90
+ 2025-03-09 20:22:29,947 - train - INFO - Epoch: 18 | Batch: 200 | Loss: 1.408 | Acc: 51.39%
91
+ 2025-03-09 20:22:31,944 - train - INFO - Epoch: 18 | Batch: 300 | Loss: 1.402 | Acc: 51.70%
92
+ 2025-03-09 20:22:35,223 - train - INFO - Epoch: 18 | Test Loss: 1.446 | Test Acc: 49.65%
93
+ 2025-03-09 20:22:35,389 - train - INFO - Epoch: 19 | Batch: 0 | Loss: 1.405 | Acc: 50.78%
94
+ 2025-03-09 20:22:37,625 - train - INFO - Epoch: 19 | Batch: 100 | Loss: 1.415 | Acc: 51.73%
95
+ 2025-03-09 20:22:39,692 - train - INFO - Epoch: 19 | Batch: 200 | Loss: 1.413 | Acc: 51.99%
96
+ 2025-03-09 20:22:41,607 - train - INFO - Epoch: 19 | Batch: 300 | Loss: 1.405 | Acc: 52.11%
97
+ 2025-03-09 20:22:44,549 - train - INFO - Epoch: 19 | Test Loss: 1.407 | Test Acc: 52.25%
98
+ 2025-03-09 20:22:44,717 - train - INFO - Epoch: 20 | Batch: 0 | Loss: 1.496 | Acc: 52.34%
99
+ 2025-03-09 20:22:46,695 - train - INFO - Epoch: 20 | Batch: 100 | Loss: 1.393 | Acc: 52.61%
100
+ 2025-03-09 20:22:48,558 - train - INFO - Epoch: 20 | Batch: 200 | Loss: 1.391 | Acc: 52.68%
101
+ 2025-03-09 20:22:50,490 - train - INFO - Epoch: 20 | Batch: 300 | Loss: 1.386 | Acc: 52.47%
102
+ 2025-03-09 20:22:53,448 - train - INFO - Epoch: 20 | Test Loss: 1.386 | Test Acc: 52.54%
103
+ 2025-03-09 20:23:02,248 - train - INFO - Epoch: 21 | Batch: 0 | Loss: 1.271 | Acc: 53.91%
104
+ 2025-03-09 20:23:04,411 - train - INFO - Epoch: 21 | Batch: 100 | Loss: 1.377 | Acc: 52.96%
105
+ 2025-03-09 20:23:06,656 - train - INFO - Epoch: 21 | Batch: 200 | Loss: 1.362 | Acc: 53.40%
106
+ 2025-03-09 20:23:08,804 - train - INFO - Epoch: 21 | Batch: 300 | Loss: 1.365 | Acc: 53.34%
107
+ 2025-03-09 20:23:11,945 - train - INFO - Epoch: 21 | Test Loss: 1.409 | Test Acc: 52.31%
108
+ 2025-03-09 20:23:12,122 - train - INFO - Epoch: 22 | Batch: 0 | Loss: 1.437 | Acc: 52.34%
109
+ 2025-03-09 20:23:14,013 - train - INFO - Epoch: 22 | Batch: 100 | Loss: 1.347 | Acc: 53.79%
110
+ 2025-03-09 20:23:15,873 - train - INFO - Epoch: 22 | Batch: 200 | Loss: 1.363 | Acc: 52.99%
111
+ 2025-03-09 20:23:17,764 - train - INFO - Epoch: 22 | Batch: 300 | Loss: 1.364 | Acc: 53.03%
112
+ 2025-03-09 20:23:20,673 - train - INFO - Epoch: 22 | Test Loss: 1.469 | Test Acc: 49.71%
113
+ 2025-03-09 20:23:20,830 - train - INFO - Epoch: 23 | Batch: 0 | Loss: 1.354 | Acc: 49.22%
114
+ 2025-03-09 20:23:22,923 - train - INFO - Epoch: 23 | Batch: 100 | Loss: 1.379 | Acc: 52.44%
115
+ 2025-03-09 20:23:24,848 - train - INFO - Epoch: 23 | Batch: 200 | Loss: 1.379 | Acc: 52.37%
116
+ 2025-03-09 20:23:26,896 - train - INFO - Epoch: 23 | Batch: 300 | Loss: 1.374 | Acc: 52.68%
117
+ 2025-03-09 20:23:30,039 - train - INFO - Epoch: 23 | Test Loss: 1.362 | Test Acc: 52.68%
118
+ 2025-03-09 20:23:30,193 - train - INFO - Epoch: 24 | Batch: 0 | Loss: 1.161 | Acc: 61.72%
119
+ 2025-03-09 20:23:32,373 - train - INFO - Epoch: 24 | Batch: 100 | Loss: 1.389 | Acc: 52.10%
120
+ 2025-03-09 20:23:34,420 - train - INFO - Epoch: 24 | Batch: 200 | Loss: 1.380 | Acc: 52.79%
121
+ 2025-03-09 20:23:36,633 - train - INFO - Epoch: 24 | Batch: 300 | Loss: 1.385 | Acc: 52.65%
122
+ 2025-03-09 20:23:39,821 - train - INFO - Epoch: 24 | Test Loss: 1.370 | Test Acc: 52.61%
123
+ 2025-03-09 20:23:48,489 - train - INFO - Epoch: 25 | Batch: 0 | Loss: 1.393 | Acc: 53.12%
124
+ 2025-03-09 20:23:50,419 - train - INFO - Epoch: 25 | Batch: 100 | Loss: 1.372 | Acc: 53.69%
125
+ 2025-03-09 20:23:52,355 - train - INFO - Epoch: 25 | Batch: 200 | Loss: 1.400 | Acc: 52.04%
126
+ 2025-03-09 20:23:54,234 - train - INFO - Epoch: 25 | Batch: 300 | Loss: 1.385 | Acc: 52.35%
127
+ 2025-03-09 20:23:57,196 - train - INFO - Epoch: 25 | Test Loss: 1.394 | Test Acc: 52.26%
128
+ 2025-03-09 20:23:57,352 - train - INFO - Epoch: 26 | Batch: 0 | Loss: 1.450 | Acc: 59.38%
129
+ 2025-03-09 20:23:59,265 - train - INFO - Epoch: 26 | Batch: 100 | Loss: 1.348 | Acc: 54.16%
130
+ 2025-03-09 20:24:01,145 - train - INFO - Epoch: 26 | Batch: 200 | Loss: 1.334 | Acc: 54.64%
131
+ 2025-03-09 20:24:03,153 - train - INFO - Epoch: 26 | Batch: 300 | Loss: 1.333 | Acc: 54.60%
132
+ 2025-03-09 20:24:06,282 - train - INFO - Epoch: 26 | Test Loss: 1.348 | Test Acc: 53.70%
133
+ 2025-03-09 20:24:06,508 - train - INFO - Epoch: 27 | Batch: 0 | Loss: 1.219 | Acc: 58.59%
134
+ 2025-03-09 20:24:08,538 - train - INFO - Epoch: 27 | Batch: 100 | Loss: 1.338 | Acc: 54.12%
135
+ 2025-03-09 20:24:10,668 - train - INFO - Epoch: 27 | Batch: 200 | Loss: 1.350 | Acc: 53.35%
136
+ 2025-03-09 20:24:12,748 - train - INFO - Epoch: 27 | Batch: 300 | Loss: 1.349 | Acc: 53.77%
137
+ 2025-03-09 20:24:15,793 - train - INFO - Epoch: 27 | Test Loss: 1.359 | Test Acc: 52.39%
138
+ 2025-03-09 20:24:15,977 - train - INFO - Epoch: 28 | Batch: 0 | Loss: 1.496 | Acc: 47.66%
139
+ 2025-03-09 20:24:17,971 - train - INFO - Epoch: 28 | Batch: 100 | Loss: 1.372 | Acc: 52.45%
140
+ 2025-03-09 20:24:19,834 - train - INFO - Epoch: 28 | Batch: 200 | Loss: 1.352 | Acc: 53.57%
141
+ 2025-03-09 20:24:21,705 - train - INFO - Epoch: 28 | Batch: 300 | Loss: 1.358 | Acc: 53.43%
142
+ 2025-03-09 20:24:24,689 - train - INFO - Epoch: 28 | Test Loss: 1.377 | Test Acc: 54.25%
143
+ 2025-03-09 20:24:33,155 - train - INFO - Epoch: 29 | Batch: 0 | Loss: 1.412 | Acc: 48.44%
144
+ 2025-03-09 20:24:35,070 - train - INFO - Epoch: 29 | Batch: 100 | Loss: 1.370 | Acc: 53.01%
145
+ 2025-03-09 20:24:37,032 - train - INFO - Epoch: 29 | Batch: 200 | Loss: 1.367 | Acc: 53.06%
146
+ 2025-03-09 20:24:39,067 - train - INFO - Epoch: 29 | Batch: 300 | Loss: 1.353 | Acc: 53.75%
147
+ 2025-03-09 20:24:42,247 - train - INFO - Epoch: 29 | Test Loss: 1.488 | Test Acc: 47.56%
148
+ 2025-03-09 20:24:42,420 - train - INFO - Epoch: 30 | Batch: 0 | Loss: 1.462 | Acc: 48.44%
149
+ 2025-03-09 20:24:44,388 - train - INFO - Epoch: 30 | Batch: 100 | Loss: 1.386 | Acc: 52.71%
150
+ 2025-03-09 20:24:46,476 - train - INFO - Epoch: 30 | Batch: 200 | Loss: 1.375 | Acc: 53.26%
151
+ 2025-03-09 20:24:48,451 - train - INFO - Epoch: 30 | Batch: 300 | Loss: 1.367 | Acc: 53.45%
152
+ 2025-03-09 20:24:51,659 - train - INFO - Epoch: 30 | Test Loss: 1.347 | Test Acc: 52.89%
153
+ 2025-03-09 20:24:51,817 - train - INFO - Epoch: 31 | Batch: 0 | Loss: 1.475 | Acc: 51.56%
154
+ 2025-03-09 20:24:53,919 - train - INFO - Epoch: 31 | Batch: 100 | Loss: 1.358 | Acc: 54.30%
155
+ 2025-03-09 20:24:56,164 - train - INFO - Epoch: 31 | Batch: 200 | Loss: 1.349 | Acc: 54.70%
156
+ 2025-03-09 20:24:58,081 - train - INFO - Epoch: 31 | Batch: 300 | Loss: 1.339 | Acc: 54.88%
157
+ 2025-03-09 20:25:00,872 - train - INFO - Epoch: 31 | Test Loss: 1.342 | Test Acc: 54.27%
158
+ 2025-03-09 20:25:01,010 - train - INFO - Epoch: 32 | Batch: 0 | Loss: 1.281 | Acc: 56.25%
159
+ 2025-03-09 20:25:02,872 - train - INFO - Epoch: 32 | Batch: 100 | Loss: 1.343 | Acc: 54.04%
160
+ 2025-03-09 20:25:04,904 - train - INFO - Epoch: 32 | Batch: 200 | Loss: 1.345 | Acc: 53.87%
161
+ 2025-03-09 20:25:06,912 - train - INFO - Epoch: 32 | Batch: 300 | Loss: 1.336 | Acc: 54.46%
162
+ 2025-03-09 20:25:09,820 - train - INFO - Epoch: 32 | Test Loss: 1.399 | Test Acc: 53.36%
163
+ 2025-03-09 20:25:18,309 - train - INFO - Epoch: 33 | Batch: 0 | Loss: 1.352 | Acc: 57.81%
164
+ 2025-03-09 20:25:20,363 - train - INFO - Epoch: 33 | Batch: 100 | Loss: 1.311 | Acc: 55.27%
165
+ 2025-03-09 20:25:22,301 - train - INFO - Epoch: 33 | Batch: 200 | Loss: 1.311 | Acc: 55.33%
166
+ 2025-03-09 20:25:24,323 - train - INFO - Epoch: 33 | Batch: 300 | Loss: 1.303 | Acc: 55.76%
167
+ 2025-03-09 20:25:27,526 - train - INFO - Epoch: 33 | Test Loss: 1.348 | Test Acc: 55.64%
168
+ 2025-03-09 20:25:27,697 - train - INFO - Epoch: 34 | Batch: 0 | Loss: 1.294 | Acc: 52.34%
169
+ 2025-03-09 20:25:29,828 - train - INFO - Epoch: 34 | Batch: 100 | Loss: 1.319 | Acc: 55.61%
170
+ 2025-03-09 20:25:31,968 - train - INFO - Epoch: 34 | Batch: 200 | Loss: 1.313 | Acc: 55.77%
171
+ 2025-03-09 20:25:34,273 - train - INFO - Epoch: 34 | Batch: 300 | Loss: 1.317 | Acc: 55.53%
172
+ 2025-03-09 20:25:37,696 - train - INFO - Epoch: 34 | Test Loss: 1.453 | Test Acc: 52.69%
173
+ 2025-03-09 20:25:37,860 - train - INFO - Epoch: 35 | Batch: 0 | Loss: 1.607 | Acc: 48.44%
174
+ 2025-03-09 20:25:40,073 - train - INFO - Epoch: 35 | Batch: 100 | Loss: 1.330 | Acc: 55.03%
175
+ 2025-03-09 20:25:42,446 - train - INFO - Epoch: 35 | Batch: 200 | Loss: 1.314 | Acc: 55.59%
176
+ 2025-03-09 20:25:44,548 - train - INFO - Epoch: 35 | Batch: 300 | Loss: 1.313 | Acc: 55.58%
177
+ 2025-03-09 20:25:47,695 - train - INFO - Epoch: 35 | Test Loss: 1.366 | Test Acc: 53.31%
178
+ 2025-03-09 20:25:47,852 - train - INFO - Epoch: 36 | Batch: 0 | Loss: 1.387 | Acc: 53.91%
179
+ 2025-03-09 20:25:49,788 - train - INFO - Epoch: 36 | Batch: 100 | Loss: 1.331 | Acc: 55.28%
180
+ 2025-03-09 20:25:51,705 - train - INFO - Epoch: 36 | Batch: 200 | Loss: 1.331 | Acc: 55.26%
181
+ 2025-03-09 20:25:53,699 - train - INFO - Epoch: 36 | Batch: 300 | Loss: 1.332 | Acc: 55.45%
182
+ 2025-03-09 20:25:56,774 - train - INFO - Epoch: 36 | Test Loss: 1.273 | Test Acc: 56.38%
183
+ 2025-03-09 20:26:05,606 - train - INFO - Epoch: 37 | Batch: 0 | Loss: 1.296 | Acc: 58.59%
184
+ 2025-03-09 20:26:07,890 - train - INFO - Epoch: 37 | Batch: 100 | Loss: 1.324 | Acc: 54.72%
185
+ 2025-03-09 20:26:09,936 - train - INFO - Epoch: 37 | Batch: 200 | Loss: 1.321 | Acc: 55.64%
186
+ 2025-03-09 20:26:12,029 - train - INFO - Epoch: 37 | Batch: 300 | Loss: 1.315 | Acc: 55.72%
187
+ 2025-03-09 20:26:15,068 - train - INFO - Epoch: 37 | Test Loss: 1.290 | Test Acc: 56.71%
188
+ 2025-03-09 20:26:15,238 - train - INFO - Epoch: 38 | Batch: 0 | Loss: 1.452 | Acc: 51.56%
189
+ 2025-03-09 20:26:17,226 - train - INFO - Epoch: 38 | Batch: 100 | Loss: 1.312 | Acc: 56.12%
190
+ 2025-03-09 20:26:19,216 - train - INFO - Epoch: 38 | Batch: 200 | Loss: 1.300 | Acc: 56.18%
191
+ 2025-03-09 20:26:21,112 - train - INFO - Epoch: 38 | Batch: 300 | Loss: 1.306 | Acc: 55.91%
192
+ 2025-03-09 20:26:23,992 - train - INFO - Epoch: 38 | Test Loss: 1.361 | Test Acc: 54.99%
193
+ 2025-03-09 20:26:24,159 - train - INFO - Epoch: 39 | Batch: 0 | Loss: 1.445 | Acc: 52.34%
194
+ 2025-03-09 20:26:26,133 - train - INFO - Epoch: 39 | Batch: 100 | Loss: 1.322 | Acc: 54.90%
195
+ 2025-03-09 20:26:28,117 - train - INFO - Epoch: 39 | Batch: 200 | Loss: 1.314 | Acc: 55.84%
196
+ 2025-03-09 20:26:30,147 - train - INFO - Epoch: 39 | Batch: 300 | Loss: 1.314 | Acc: 55.66%
197
+ 2025-03-09 20:26:33,109 - train - INFO - Epoch: 39 | Test Loss: 1.350 | Test Acc: 54.42%
198
+ 2025-03-09 20:26:33,294 - train - INFO - Epoch: 40 | Batch: 0 | Loss: 1.216 | Acc: 60.16%
199
+ 2025-03-09 20:26:35,443 - train - INFO - Epoch: 40 | Batch: 100 | Loss: 1.298 | Acc: 56.68%
200
+ 2025-03-09 20:26:38,192 - train - INFO - Epoch: 40 | Batch: 200 | Loss: 1.292 | Acc: 56.84%
201
+ 2025-03-09 20:26:40,191 - train - INFO - Epoch: 40 | Batch: 300 | Loss: 1.288 | Acc: 56.83%
202
+ 2025-03-09 20:26:43,736 - train - INFO - Epoch: 40 | Test Loss: 1.414 | Test Acc: 53.13%
203
+ 2025-03-09 20:26:52,109 - train - INFO - Epoch: 41 | Batch: 0 | Loss: 1.310 | Acc: 50.78%
204
+ 2025-03-09 20:26:53,954 - train - INFO - Epoch: 41 | Batch: 100 | Loss: 1.288 | Acc: 56.18%
205
+ 2025-03-09 20:26:55,875 - train - INFO - Epoch: 41 | Batch: 200 | Loss: 1.305 | Acc: 55.85%
206
+ 2025-03-09 20:26:57,745 - train - INFO - Epoch: 41 | Batch: 300 | Loss: 1.307 | Acc: 56.09%
207
+ 2025-03-09 20:27:00,677 - train - INFO - Epoch: 41 | Test Loss: 1.363 | Test Acc: 53.66%
208
+ 2025-03-09 20:27:00,850 - train - INFO - Epoch: 42 | Batch: 0 | Loss: 1.274 | Acc: 55.47%
209
+ 2025-03-09 20:27:02,898 - train - INFO - Epoch: 42 | Batch: 100 | Loss: 1.287 | Acc: 56.66%
210
+ 2025-03-09 20:27:04,913 - train - INFO - Epoch: 42 | Batch: 200 | Loss: 1.295 | Acc: 56.11%
211
+ 2025-03-09 20:27:07,000 - train - INFO - Epoch: 42 | Batch: 300 | Loss: 1.310 | Acc: 55.73%
212
+ 2025-03-09 20:27:10,353 - train - INFO - Epoch: 42 | Test Loss: 1.267 | Test Acc: 55.87%
213
+ 2025-03-09 20:27:10,566 - train - INFO - Epoch: 43 | Batch: 0 | Loss: 1.068 | Acc: 61.72%
214
+ 2025-03-09 20:27:12,538 - train - INFO - Epoch: 43 | Batch: 100 | Loss: 1.276 | Acc: 57.14%
215
+ 2025-03-09 20:27:14,555 - train - INFO - Epoch: 43 | Batch: 200 | Loss: 1.281 | Acc: 56.92%
216
+ 2025-03-09 20:27:16,452 - train - INFO - Epoch: 43 | Batch: 300 | Loss: 1.294 | Acc: 56.41%
217
+ 2025-03-09 20:27:19,499 - train - INFO - Epoch: 43 | Test Loss: 1.402 | Test Acc: 54.51%
218
+ 2025-03-09 20:27:19,668 - train - INFO - Epoch: 44 | Batch: 0 | Loss: 1.519 | Acc: 47.66%
219
+ 2025-03-09 20:27:21,706 - train - INFO - Epoch: 44 | Batch: 100 | Loss: 1.300 | Acc: 56.28%
220
+ 2025-03-09 20:27:23,755 - train - INFO - Epoch: 44 | Batch: 200 | Loss: 1.310 | Acc: 55.94%
221
+ 2025-03-09 20:27:25,686 - train - INFO - Epoch: 44 | Batch: 300 | Loss: 1.307 | Acc: 56.03%
222
+ 2025-03-09 20:27:28,811 - train - INFO - Epoch: 44 | Test Loss: 1.234 | Test Acc: 58.47%
223
+ 2025-03-09 20:27:37,172 - train - INFO - Epoch: 45 | Batch: 0 | Loss: 1.269 | Acc: 58.59%
224
+ 2025-03-09 20:27:39,166 - train - INFO - Epoch: 45 | Batch: 100 | Loss: 1.280 | Acc: 56.24%
225
+ 2025-03-09 20:27:41,156 - train - INFO - Epoch: 45 | Batch: 200 | Loss: 1.286 | Acc: 56.27%
226
+ 2025-03-09 20:27:43,004 - train - INFO - Epoch: 45 | Batch: 300 | Loss: 1.286 | Acc: 56.40%
227
+ 2025-03-09 20:27:45,868 - train - INFO - Epoch: 45 | Test Loss: 1.282 | Test Acc: 55.78%
228
+ 2025-03-09 20:27:46,023 - train - INFO - Epoch: 46 | Batch: 0 | Loss: 1.239 | Acc: 51.56%
229
+ 2025-03-09 20:27:47,975 - train - INFO - Epoch: 46 | Batch: 100 | Loss: 1.302 | Acc: 55.83%
230
+ 2025-03-09 20:27:49,950 - train - INFO - Epoch: 46 | Batch: 200 | Loss: 1.266 | Acc: 57.14%
231
+ 2025-03-09 20:27:52,118 - train - INFO - Epoch: 46 | Batch: 300 | Loss: 1.255 | Acc: 57.51%
232
+ 2025-03-09 20:27:55,154 - train - INFO - Epoch: 46 | Test Loss: 1.309 | Test Acc: 56.11%
233
+ 2025-03-09 20:27:55,469 - train - INFO - Epoch: 47 | Batch: 0 | Loss: 1.226 | Acc: 57.03%
234
+ 2025-03-09 20:27:57,480 - train - INFO - Epoch: 47 | Batch: 100 | Loss: 1.251 | Acc: 57.84%
235
+ 2025-03-09 20:27:59,499 - train - INFO - Epoch: 47 | Batch: 200 | Loss: 1.258 | Acc: 57.76%
236
+ 2025-03-09 20:28:01,442 - train - INFO - Epoch: 47 | Batch: 300 | Loss: 1.252 | Acc: 58.02%
237
+ 2025-03-09 20:28:04,566 - train - INFO - Epoch: 47 | Test Loss: 1.253 | Test Acc: 57.28%
238
+ 2025-03-09 20:28:04,739 - train - INFO - Epoch: 48 | Batch: 0 | Loss: 1.394 | Acc: 53.12%
239
+ 2025-03-09 20:28:06,693 - train - INFO - Epoch: 48 | Batch: 100 | Loss: 1.278 | Acc: 56.41%
240
+ 2025-03-09 20:28:08,637 - train - INFO - Epoch: 48 | Batch: 200 | Loss: 1.268 | Acc: 57.14%
241
+ 2025-03-09 20:28:10,711 - train - INFO - Epoch: 48 | Batch: 300 | Loss: 1.262 | Acc: 57.50%
242
+ 2025-03-09 20:28:13,848 - train - INFO - Epoch: 48 | Test Loss: 1.249 | Test Acc: 58.69%
243
+ 2025-03-09 20:28:22,849 - train - INFO - Epoch: 49 | Batch: 0 | Loss: 1.235 | Acc: 60.94%
244
+ 2025-03-09 20:28:24,718 - train - INFO - Epoch: 49 | Batch: 100 | Loss: 1.262 | Acc: 57.60%
245
+ 2025-03-09 20:28:26,655 - train - INFO - Epoch: 49 | Batch: 200 | Loss: 1.252 | Acc: 57.92%
246
+ 2025-03-09 20:28:28,615 - train - INFO - Epoch: 49 | Batch: 300 | Loss: 1.256 | Acc: 57.75%
247
+ 2025-03-09 20:28:31,510 - train - INFO - Epoch: 49 | Test Loss: 1.236 | Test Acc: 59.64%
248
+ 2025-03-09 20:28:31,684 - train - INFO - Epoch: 50 | Batch: 0 | Loss: 1.417 | Acc: 52.34%
249
+ 2025-03-09 20:28:33,617 - train - INFO - Epoch: 50 | Batch: 100 | Loss: 1.226 | Acc: 58.89%
250
+ 2025-03-09 20:28:35,516 - train - INFO - Epoch: 50 | Batch: 200 | Loss: 1.262 | Acc: 57.55%
251
+ 2025-03-09 20:28:37,408 - train - INFO - Epoch: 50 | Batch: 300 | Loss: 1.257 | Acc: 57.70%
252
+ 2025-03-09 20:28:40,309 - train - INFO - Epoch: 50 | Test Loss: 1.257 | Test Acc: 57.34%
253
+ 2025-03-09 20:28:40,473 - train - INFO - Epoch: 51 | Batch: 0 | Loss: 1.113 | Acc: 63.28%
254
+ 2025-03-09 20:28:42,519 - train - INFO - Epoch: 51 | Batch: 100 | Loss: 1.259 | Acc: 58.03%
255
+ 2025-03-09 20:28:44,502 - train - INFO - Epoch: 51 | Batch: 200 | Loss: 1.264 | Acc: 57.69%
256
+ 2025-03-09 20:28:46,631 - train - INFO - Epoch: 51 | Batch: 300 | Loss: 1.269 | Acc: 57.29%
257
+ 2025-03-09 20:28:49,638 - train - INFO - Epoch: 51 | Test Loss: 1.281 | Test Acc: 57.03%
258
+ 2025-03-09 20:28:49,812 - train - INFO - Epoch: 52 | Batch: 0 | Loss: 1.257 | Acc: 55.47%
259
+ 2025-03-09 20:28:51,845 - train - INFO - Epoch: 52 | Batch: 100 | Loss: 1.262 | Acc: 57.78%
260
+ 2025-03-09 20:28:53,837 - train - INFO - Epoch: 52 | Batch: 200 | Loss: 1.265 | Acc: 57.56%
261
+ 2025-03-09 20:28:55,995 - train - INFO - Epoch: 52 | Batch: 300 | Loss: 1.261 | Acc: 57.63%
262
+ 2025-03-09 20:28:59,048 - train - INFO - Epoch: 52 | Test Loss: 1.331 | Test Acc: 53.97%
263
+ 2025-03-09 20:29:07,981 - train - INFO - Epoch: 53 | Batch: 0 | Loss: 1.271 | Acc: 53.91%
264
+ 2025-03-09 20:29:09,928 - train - INFO - Epoch: 53 | Batch: 100 | Loss: 1.254 | Acc: 58.34%
265
+ 2025-03-09 20:29:11,910 - train - INFO - Epoch: 53 | Batch: 200 | Loss: 1.252 | Acc: 58.11%
266
+ 2025-03-09 20:29:13,867 - train - INFO - Epoch: 53 | Batch: 300 | Loss: 1.262 | Acc: 57.70%
267
+ 2025-03-09 20:29:16,853 - train - INFO - Epoch: 53 | Test Loss: 1.308 | Test Acc: 57.07%
268
+ 2025-03-09 20:29:17,032 - train - INFO - Epoch: 54 | Batch: 0 | Loss: 1.168 | Acc: 60.16%
269
+ 2025-03-09 20:29:18,963 - train - INFO - Epoch: 54 | Batch: 100 | Loss: 1.250 | Acc: 57.74%
270
+ 2025-03-09 20:29:20,860 - train - INFO - Epoch: 54 | Batch: 200 | Loss: 1.238 | Acc: 58.21%
271
+ 2025-03-09 20:29:22,743 - train - INFO - Epoch: 54 | Batch: 300 | Loss: 1.241 | Acc: 58.10%
272
+ 2025-03-09 20:29:25,703 - train - INFO - Epoch: 54 | Test Loss: 1.218 | Test Acc: 59.11%
273
+ 2025-03-09 20:29:25,847 - train - INFO - Epoch: 55 | Batch: 0 | Loss: 1.268 | Acc: 60.16%
274
+ 2025-03-09 20:29:27,805 - train - INFO - Epoch: 55 | Batch: 100 | Loss: 1.251 | Acc: 57.75%
275
+ 2025-03-09 20:29:29,824 - train - INFO - Epoch: 55 | Batch: 200 | Loss: 1.233 | Acc: 58.28%
276
+ 2025-03-09 20:29:31,744 - train - INFO - Epoch: 55 | Batch: 300 | Loss: 1.229 | Acc: 58.43%
277
+ 2025-03-09 20:29:34,830 - train - INFO - Epoch: 55 | Test Loss: 1.157 | Test Acc: 61.97%
278
+ 2025-03-09 20:29:35,053 - train - INFO - Epoch: 56 | Batch: 0 | Loss: 1.206 | Acc: 57.81%
279
+ 2025-03-09 20:29:37,115 - train - INFO - Epoch: 56 | Batch: 100 | Loss: 1.258 | Acc: 57.43%
280
+ 2025-03-09 20:29:39,236 - train - INFO - Epoch: 56 | Batch: 200 | Loss: 1.241 | Acc: 58.07%
281
+ 2025-03-09 20:29:41,226 - train - INFO - Epoch: 56 | Batch: 300 | Loss: 1.233 | Acc: 58.52%
282
+ 2025-03-09 20:29:44,437 - train - INFO - Epoch: 56 | Test Loss: 1.167 | Test Acc: 60.27%
283
+ 2025-03-09 20:29:52,970 - train - INFO - Epoch: 57 | Batch: 0 | Loss: 1.121 | Acc: 60.16%
284
+ 2025-03-09 20:29:55,013 - train - INFO - Epoch: 57 | Batch: 100 | Loss: 1.195 | Acc: 60.04%
285
+ 2025-03-09 20:29:57,034 - train - INFO - Epoch: 57 | Batch: 200 | Loss: 1.213 | Acc: 59.17%
286
+ 2025-03-09 20:29:58,980 - train - INFO - Epoch: 57 | Batch: 300 | Loss: 1.219 | Acc: 58.95%
287
+ 2025-03-09 20:30:01,938 - train - INFO - Epoch: 57 | Test Loss: 1.274 | Test Acc: 57.75%
288
+ 2025-03-09 20:30:02,116 - train - INFO - Epoch: 58 | Batch: 0 | Loss: 1.284 | Acc: 53.12%
289
+ 2025-03-09 20:30:04,029 - train - INFO - Epoch: 58 | Batch: 100 | Loss: 1.250 | Acc: 58.62%
290
+ 2025-03-09 20:30:06,039 - train - INFO - Epoch: 58 | Batch: 200 | Loss: 1.243 | Acc: 58.39%
291
+ 2025-03-09 20:30:08,038 - train - INFO - Epoch: 58 | Batch: 300 | Loss: 1.240 | Acc: 58.48%
292
+ 2025-03-09 20:30:11,145 - train - INFO - Epoch: 58 | Test Loss: 1.232 | Test Acc: 58.94%
293
+ 2025-03-09 20:30:11,327 - train - INFO - Epoch: 59 | Batch: 0 | Loss: 1.047 | Acc: 63.28%
294
+ 2025-03-09 20:30:13,348 - train - INFO - Epoch: 59 | Batch: 100 | Loss: 1.210 | Acc: 59.13%
295
+ 2025-03-09 20:30:15,556 - train - INFO - Epoch: 59 | Batch: 200 | Loss: 1.208 | Acc: 59.16%
296
+ 2025-03-09 20:30:17,594 - train - INFO - Epoch: 59 | Batch: 300 | Loss: 1.212 | Acc: 59.30%
297
+ 2025-03-09 20:30:20,606 - train - INFO - Epoch: 59 | Test Loss: 1.165 | Test Acc: 62.08%
298
+ 2025-03-09 20:30:20,783 - train - INFO - Epoch: 60 | Batch: 0 | Loss: 1.238 | Acc: 55.47%
299
+ 2025-03-09 20:30:22,724 - train - INFO - Epoch: 60 | Batch: 100 | Loss: 1.218 | Acc: 58.86%
300
+ 2025-03-09 20:30:24,630 - train - INFO - Epoch: 60 | Batch: 200 | Loss: 1.215 | Acc: 58.99%
301
+ 2025-03-09 20:30:26,703 - train - INFO - Epoch: 60 | Batch: 300 | Loss: 1.215 | Acc: 59.11%
302
+ 2025-03-09 20:30:29,708 - train - INFO - Epoch: 60 | Test Loss: 1.178 | Test Acc: 60.43%
303
+ 2025-03-09 20:30:38,516 - train - INFO - Epoch: 61 | Batch: 0 | Loss: 1.265 | Acc: 58.59%
304
+ 2025-03-09 20:30:40,669 - train - INFO - Epoch: 61 | Batch: 100 | Loss: 1.206 | Acc: 59.23%
305
+ 2025-03-09 20:30:42,615 - train - INFO - Epoch: 61 | Batch: 200 | Loss: 1.196 | Acc: 59.98%
306
+ 2025-03-09 20:30:44,531 - train - INFO - Epoch: 61 | Batch: 300 | Loss: 1.183 | Acc: 60.42%
307
+ 2025-03-09 20:30:47,435 - train - INFO - Epoch: 61 | Test Loss: 1.302 | Test Acc: 57.91%
308
+ 2025-03-09 20:30:47,597 - train - INFO - Epoch: 62 | Batch: 0 | Loss: 1.109 | Acc: 64.06%
309
+ 2025-03-09 20:30:49,444 - train - INFO - Epoch: 62 | Batch: 100 | Loss: 1.195 | Acc: 60.26%
310
+ 2025-03-09 20:30:51,346 - train - INFO - Epoch: 62 | Batch: 200 | Loss: 1.189 | Acc: 60.26%
311
+ 2025-03-09 20:30:53,324 - train - INFO - Epoch: 62 | Batch: 300 | Loss: 1.198 | Acc: 59.84%
312
+ 2025-03-09 20:30:56,425 - train - INFO - Epoch: 62 | Test Loss: 1.144 | Test Acc: 61.91%
313
+ 2025-03-09 20:30:56,594 - train - INFO - Epoch: 63 | Batch: 0 | Loss: 1.158 | Acc: 57.81%
314
+ 2025-03-09 20:30:58,593 - train - INFO - Epoch: 63 | Batch: 100 | Loss: 1.202 | Acc: 60.19%
315
+ 2025-03-09 20:31:00,631 - train - INFO - Epoch: 63 | Batch: 200 | Loss: 1.201 | Acc: 60.02%
316
+ 2025-03-09 20:31:02,630 - train - INFO - Epoch: 63 | Batch: 300 | Loss: 1.205 | Acc: 59.69%
317
+ 2025-03-09 20:31:06,449 - train - INFO - Epoch: 63 | Test Loss: 1.192 | Test Acc: 60.56%
318
+ 2025-03-09 20:31:06,659 - train - INFO - Epoch: 64 | Batch: 0 | Loss: 1.170 | Acc: 67.97%
319
+ 2025-03-09 20:31:08,897 - train - INFO - Epoch: 64 | Batch: 100 | Loss: 1.166 | Acc: 60.61%
320
+ 2025-03-09 20:31:11,221 - train - INFO - Epoch: 64 | Batch: 200 | Loss: 1.184 | Acc: 60.09%
321
+ 2025-03-09 20:31:13,224 - train - INFO - Epoch: 64 | Batch: 300 | Loss: 1.188 | Acc: 60.04%
322
+ 2025-03-09 20:31:16,234 - train - INFO - Epoch: 64 | Test Loss: 1.150 | Test Acc: 62.05%
323
+ 2025-03-09 20:31:24,778 - train - INFO - Epoch: 65 | Batch: 0 | Loss: 1.002 | Acc: 61.72%
324
+ 2025-03-09 20:31:26,799 - train - INFO - Epoch: 65 | Batch: 100 | Loss: 1.141 | Acc: 61.68%
325
+ 2025-03-09 20:31:28,890 - train - INFO - Epoch: 65 | Batch: 200 | Loss: 1.169 | Acc: 60.47%
326
+ 2025-03-09 20:31:30,932 - train - INFO - Epoch: 65 | Batch: 300 | Loss: 1.173 | Acc: 60.45%
327
+ 2025-03-09 20:31:34,033 - train - INFO - Epoch: 65 | Test Loss: 1.124 | Test Acc: 62.72%
328
+ 2025-03-09 20:31:34,227 - train - INFO - Epoch: 66 | Batch: 0 | Loss: 1.387 | Acc: 53.91%
329
+ 2025-03-09 20:31:36,268 - train - INFO - Epoch: 66 | Batch: 100 | Loss: 1.168 | Acc: 61.05%
330
+ 2025-03-09 20:31:38,189 - train - INFO - Epoch: 66 | Batch: 200 | Loss: 1.175 | Acc: 61.00%
331
+ 2025-03-09 20:31:40,070 - train - INFO - Epoch: 66 | Batch: 300 | Loss: 1.175 | Acc: 60.98%
332
+ 2025-03-09 20:31:42,970 - train - INFO - Epoch: 66 | Test Loss: 1.184 | Test Acc: 61.65%
333
+ 2025-03-09 20:31:43,120 - train - INFO - Epoch: 67 | Batch: 0 | Loss: 1.150 | Acc: 61.72%
334
+ 2025-03-09 20:31:45,207 - train - INFO - Epoch: 67 | Batch: 100 | Loss: 1.149 | Acc: 61.84%
335
+ 2025-03-09 20:31:47,200 - train - INFO - Epoch: 67 | Batch: 200 | Loss: 1.171 | Acc: 61.07%
336
+ 2025-03-09 20:31:49,096 - train - INFO - Epoch: 67 | Batch: 300 | Loss: 1.165 | Acc: 61.19%
337
+ 2025-03-09 20:31:52,455 - train - INFO - Epoch: 67 | Test Loss: 1.216 | Test Acc: 60.41%
338
+ 2025-03-09 20:31:52,629 - train - INFO - Epoch: 68 | Batch: 0 | Loss: 1.103 | Acc: 61.72%
339
+ 2025-03-09 20:31:54,772 - train - INFO - Epoch: 68 | Batch: 100 | Loss: 1.161 | Acc: 61.22%
340
+ 2025-03-09 20:31:56,740 - train - INFO - Epoch: 68 | Batch: 200 | Loss: 1.154 | Acc: 61.48%
341
+ 2025-03-09 20:31:59,231 - train - INFO - Epoch: 68 | Batch: 300 | Loss: 1.162 | Acc: 61.29%
342
+ 2025-03-09 20:32:02,617 - train - INFO - Epoch: 68 | Test Loss: 1.161 | Test Acc: 61.05%
343
+ 2025-03-09 20:32:10,865 - train - INFO - Epoch: 69 | Batch: 0 | Loss: 1.238 | Acc: 55.47%
344
+ 2025-03-09 20:32:12,884 - train - INFO - Epoch: 69 | Batch: 100 | Loss: 1.173 | Acc: 60.76%
345
+ 2025-03-09 20:32:14,815 - train - INFO - Epoch: 69 | Batch: 200 | Loss: 1.175 | Acc: 60.64%
346
+ 2025-03-09 20:32:16,725 - train - INFO - Epoch: 69 | Batch: 300 | Loss: 1.183 | Acc: 60.28%
347
+ 2025-03-09 20:32:19,765 - train - INFO - Epoch: 69 | Test Loss: 1.230 | Test Acc: 58.66%
348
+ 2025-03-09 20:32:19,932 - train - INFO - Epoch: 70 | Batch: 0 | Loss: 1.389 | Acc: 54.69%
349
+ 2025-03-09 20:32:22,033 - train - INFO - Epoch: 70 | Batch: 100 | Loss: 1.158 | Acc: 61.07%
350
+ 2025-03-09 20:32:24,089 - train - INFO - Epoch: 70 | Batch: 200 | Loss: 1.157 | Acc: 60.95%
351
+ 2025-03-09 20:32:26,117 - train - INFO - Epoch: 70 | Batch: 300 | Loss: 1.166 | Acc: 60.71%
352
+ 2025-03-09 20:32:29,298 - train - INFO - Epoch: 70 | Test Loss: 1.226 | Test Acc: 59.05%
353
+ 2025-03-09 20:32:29,467 - train - INFO - Epoch: 71 | Batch: 0 | Loss: 1.339 | Acc: 55.47%
354
+ 2025-03-09 20:32:31,438 - train - INFO - Epoch: 71 | Batch: 100 | Loss: 1.167 | Acc: 60.74%
355
+ 2025-03-09 20:32:33,454 - train - INFO - Epoch: 71 | Batch: 200 | Loss: 1.162 | Acc: 61.08%
356
+ 2025-03-09 20:32:35,462 - train - INFO - Epoch: 71 | Batch: 300 | Loss: 1.162 | Acc: 61.09%
357
+ 2025-03-09 20:32:38,625 - train - INFO - Epoch: 71 | Test Loss: 1.196 | Test Acc: 60.13%
358
+ 2025-03-09 20:32:38,825 - train - INFO - Epoch: 72 | Batch: 0 | Loss: 1.065 | Acc: 67.97%
359
+ 2025-03-09 20:32:41,013 - train - INFO - Epoch: 72 | Batch: 100 | Loss: 1.153 | Acc: 61.68%
360
+ 2025-03-09 20:32:43,148 - train - INFO - Epoch: 72 | Batch: 200 | Loss: 1.139 | Acc: 62.09%
361
+ 2025-03-09 20:32:45,102 - train - INFO - Epoch: 72 | Batch: 300 | Loss: 1.142 | Acc: 61.86%
362
+ 2025-03-09 20:32:48,052 - train - INFO - Epoch: 72 | Test Loss: 1.178 | Test Acc: 60.15%
363
+ 2025-03-09 20:32:56,719 - train - INFO - Epoch: 73 | Batch: 0 | Loss: 1.149 | Acc: 57.81%
364
+ 2025-03-09 20:32:58,840 - train - INFO - Epoch: 73 | Batch: 100 | Loss: 1.124 | Acc: 62.13%
365
+ 2025-03-09 20:33:01,060 - train - INFO - Epoch: 73 | Batch: 200 | Loss: 1.124 | Acc: 62.22%
366
+ 2025-03-09 20:33:02,959 - train - INFO - Epoch: 73 | Batch: 300 | Loss: 1.124 | Acc: 62.25%
367
+ 2025-03-09 20:33:06,081 - train - INFO - Epoch: 73 | Test Loss: 1.108 | Test Acc: 62.58%
368
+ 2025-03-09 20:33:06,242 - train - INFO - Epoch: 74 | Batch: 0 | Loss: 0.976 | Acc: 64.06%
369
+ 2025-03-09 20:33:08,117 - train - INFO - Epoch: 74 | Batch: 100 | Loss: 1.129 | Acc: 61.83%
370
+ 2025-03-09 20:33:10,070 - train - INFO - Epoch: 74 | Batch: 200 | Loss: 1.141 | Acc: 61.62%
371
+ 2025-03-09 20:33:12,009 - train - INFO - Epoch: 74 | Batch: 300 | Loss: 1.139 | Acc: 61.84%
372
+ 2025-03-09 20:33:14,980 - train - INFO - Epoch: 74 | Test Loss: 1.232 | Test Acc: 57.82%
373
+ 2025-03-09 20:33:15,160 - train - INFO - Epoch: 75 | Batch: 0 | Loss: 1.104 | Acc: 60.94%
374
+ 2025-03-09 20:33:17,074 - train - INFO - Epoch: 75 | Batch: 100 | Loss: 1.153 | Acc: 61.48%
375
+ 2025-03-09 20:33:18,961 - train - INFO - Epoch: 75 | Batch: 200 | Loss: 1.149 | Acc: 61.54%
376
+ 2025-03-09 20:33:20,780 - train - INFO - Epoch: 75 | Batch: 300 | Loss: 1.141 | Acc: 61.77%
377
+ 2025-03-09 20:33:23,699 - train - INFO - Epoch: 75 | Test Loss: 1.157 | Test Acc: 61.00%
378
+ 2025-03-09 20:33:23,864 - train - INFO - Epoch: 76 | Batch: 0 | Loss: 1.193 | Acc: 60.94%
379
+ 2025-03-09 20:33:25,763 - train - INFO - Epoch: 76 | Batch: 100 | Loss: 1.147 | Acc: 61.41%
380
+ 2025-03-09 20:33:27,728 - train - INFO - Epoch: 76 | Batch: 200 | Loss: 1.138 | Acc: 61.87%
381
+ 2025-03-09 20:33:29,731 - train - INFO - Epoch: 76 | Batch: 300 | Loss: 1.143 | Acc: 61.68%
382
+ 2025-03-09 20:33:32,727 - train - INFO - Epoch: 76 | Test Loss: 1.101 | Test Acc: 63.51%
383
+ 2025-03-09 20:33:41,051 - train - INFO - Epoch: 77 | Batch: 0 | Loss: 1.110 | Acc: 59.38%
384
+ 2025-03-09 20:33:42,990 - train - INFO - Epoch: 77 | Batch: 100 | Loss: 1.108 | Acc: 62.87%
385
+ 2025-03-09 20:33:44,886 - train - INFO - Epoch: 77 | Batch: 200 | Loss: 1.115 | Acc: 62.29%
386
+ 2025-03-09 20:33:46,815 - train - INFO - Epoch: 77 | Batch: 300 | Loss: 1.119 | Acc: 62.45%
387
+ 2025-03-09 20:33:49,764 - train - INFO - Epoch: 77 | Test Loss: 1.099 | Test Acc: 63.53%
388
+ 2025-03-09 20:33:49,916 - train - INFO - Epoch: 78 | Batch: 0 | Loss: 1.111 | Acc: 64.84%
389
+ 2025-03-09 20:33:51,904 - train - INFO - Epoch: 78 | Batch: 100 | Loss: 1.127 | Acc: 62.42%
390
+ 2025-03-09 20:33:53,862 - train - INFO - Epoch: 78 | Batch: 200 | Loss: 1.127 | Acc: 62.17%
391
+ 2025-03-09 20:33:55,835 - train - INFO - Epoch: 78 | Batch: 300 | Loss: 1.125 | Acc: 62.13%
392
+ 2025-03-09 20:33:58,919 - train - INFO - Epoch: 78 | Test Loss: 1.075 | Test Acc: 63.41%
393
+ 2025-03-09 20:33:59,092 - train - INFO - Epoch: 79 | Batch: 0 | Loss: 0.990 | Acc: 67.19%
394
+ 2025-03-09 20:34:01,066 - train - INFO - Epoch: 79 | Batch: 100 | Loss: 1.107 | Acc: 62.40%
395
+ 2025-03-09 20:34:03,169 - train - INFO - Epoch: 79 | Batch: 200 | Loss: 1.105 | Acc: 62.84%
396
+ 2025-03-09 20:34:05,127 - train - INFO - Epoch: 79 | Batch: 300 | Loss: 1.102 | Acc: 63.05%
397
+ 2025-03-09 20:34:08,053 - train - INFO - Epoch: 79 | Test Loss: 1.190 | Test Acc: 60.83%
398
+ 2025-03-09 20:34:08,244 - train - INFO - Epoch: 80 | Batch: 0 | Loss: 1.227 | Acc: 60.16%
399
+ 2025-03-09 20:34:10,084 - train - INFO - Epoch: 80 | Batch: 100 | Loss: 1.120 | Acc: 62.61%
400
+ 2025-03-09 20:34:11,957 - train - INFO - Epoch: 80 | Batch: 200 | Loss: 1.102 | Acc: 62.97%
401
+ 2025-03-09 20:34:13,864 - train - INFO - Epoch: 80 | Batch: 300 | Loss: 1.109 | Acc: 62.86%
402
+ 2025-03-09 20:34:16,933 - train - INFO - Epoch: 80 | Test Loss: 1.065 | Test Acc: 64.60%
403
+ 2025-03-09 20:34:25,319 - train - INFO - Epoch: 81 | Batch: 0 | Loss: 1.093 | Acc: 60.16%
404
+ 2025-03-09 20:34:27,214 - train - INFO - Epoch: 81 | Batch: 100 | Loss: 1.133 | Acc: 62.27%
405
+ 2025-03-09 20:34:29,084 - train - INFO - Epoch: 81 | Batch: 200 | Loss: 1.107 | Acc: 63.35%
406
+ 2025-03-09 20:34:31,102 - train - INFO - Epoch: 81 | Batch: 300 | Loss: 1.102 | Acc: 63.25%
407
+ 2025-03-09 20:34:34,224 - train - INFO - Epoch: 81 | Test Loss: 1.085 | Test Acc: 63.63%
408
+ 2025-03-09 20:34:34,386 - train - INFO - Epoch: 82 | Batch: 0 | Loss: 1.183 | Acc: 58.59%
409
+ 2025-03-09 20:34:36,276 - train - INFO - Epoch: 82 | Batch: 100 | Loss: 1.093 | Acc: 63.10%
410
+ 2025-03-09 20:34:38,370 - train - INFO - Epoch: 82 | Batch: 200 | Loss: 1.084 | Acc: 63.45%
411
+ 2025-03-09 20:34:40,329 - train - INFO - Epoch: 82 | Batch: 300 | Loss: 1.083 | Acc: 63.66%
412
+ 2025-03-09 20:34:43,386 - train - INFO - Epoch: 82 | Test Loss: 1.124 | Test Acc: 62.13%
413
+ 2025-03-09 20:34:43,538 - train - INFO - Epoch: 83 | Batch: 0 | Loss: 1.178 | Acc: 57.81%
414
+ 2025-03-09 20:34:45,536 - train - INFO - Epoch: 83 | Batch: 100 | Loss: 1.103 | Acc: 63.26%
415
+ 2025-03-09 20:34:47,538 - train - INFO - Epoch: 83 | Batch: 200 | Loss: 1.090 | Acc: 63.46%
416
+ 2025-03-09 20:34:49,608 - train - INFO - Epoch: 83 | Batch: 300 | Loss: 1.091 | Acc: 63.37%
417
+ 2025-03-09 20:34:52,626 - train - INFO - Epoch: 83 | Test Loss: 1.165 | Test Acc: 62.11%
418
+ 2025-03-09 20:34:52,802 - train - INFO - Epoch: 84 | Batch: 0 | Loss: 1.103 | Acc: 67.19%
419
+ 2025-03-09 20:34:54,966 - train - INFO - Epoch: 84 | Batch: 100 | Loss: 1.115 | Acc: 62.58%
420
+ 2025-03-09 20:34:57,031 - train - INFO - Epoch: 84 | Batch: 200 | Loss: 1.091 | Acc: 63.27%
421
+ 2025-03-09 20:34:59,134 - train - INFO - Epoch: 84 | Batch: 300 | Loss: 1.097 | Acc: 63.19%
422
+ 2025-03-09 20:35:02,352 - train - INFO - Epoch: 84 | Test Loss: 1.085 | Test Acc: 63.95%
423
+ 2025-03-09 20:35:10,685 - train - INFO - Epoch: 85 | Batch: 0 | Loss: 1.311 | Acc: 59.38%
424
+ 2025-03-09 20:35:12,612 - train - INFO - Epoch: 85 | Batch: 100 | Loss: 1.084 | Acc: 63.76%
425
+ 2025-03-09 20:35:14,479 - train - INFO - Epoch: 85 | Batch: 200 | Loss: 1.078 | Acc: 64.00%
426
+ 2025-03-09 20:35:16,456 - train - INFO - Epoch: 85 | Batch: 300 | Loss: 1.092 | Acc: 63.53%
427
+ 2025-03-09 20:35:19,502 - train - INFO - Epoch: 85 | Test Loss: 1.063 | Test Acc: 63.69%
428
+ 2025-03-09 20:35:19,675 - train - INFO - Epoch: 86 | Batch: 0 | Loss: 0.918 | Acc: 71.88%
429
+ 2025-03-09 20:35:21,627 - train - INFO - Epoch: 86 | Batch: 100 | Loss: 1.078 | Acc: 63.58%
430
+ 2025-03-09 20:35:23,603 - train - INFO - Epoch: 86 | Batch: 200 | Loss: 1.080 | Acc: 63.76%
431
+ 2025-03-09 20:35:25,467 - train - INFO - Epoch: 86 | Batch: 300 | Loss: 1.081 | Acc: 63.70%
432
+ 2025-03-09 20:35:28,448 - train - INFO - Epoch: 86 | Test Loss: 1.040 | Test Acc: 65.00%
433
+ 2025-03-09 20:35:28,618 - train - INFO - Epoch: 87 | Batch: 0 | Loss: 1.037 | Acc: 64.06%
434
+ 2025-03-09 20:35:30,607 - train - INFO - Epoch: 87 | Batch: 100 | Loss: 1.045 | Acc: 64.91%
435
+ 2025-03-09 20:35:32,555 - train - INFO - Epoch: 87 | Batch: 200 | Loss: 1.054 | Acc: 64.58%
436
+ 2025-03-09 20:35:34,461 - train - INFO - Epoch: 87 | Batch: 300 | Loss: 1.055 | Acc: 64.54%
437
+ 2025-03-09 20:35:37,534 - train - INFO - Epoch: 87 | Test Loss: 1.117 | Test Acc: 63.18%
438
+ 2025-03-09 20:35:37,728 - train - INFO - Epoch: 88 | Batch: 0 | Loss: 1.114 | Acc: 64.06%
439
+ 2025-03-09 20:35:39,667 - train - INFO - Epoch: 88 | Batch: 100 | Loss: 1.081 | Acc: 63.65%
440
+ 2025-03-09 20:35:41,724 - train - INFO - Epoch: 88 | Batch: 200 | Loss: 1.089 | Acc: 63.46%
441
+ 2025-03-09 20:35:43,693 - train - INFO - Epoch: 88 | Batch: 300 | Loss: 1.080 | Acc: 63.89%
442
+ 2025-03-09 20:35:46,704 - train - INFO - Epoch: 88 | Test Loss: 1.116 | Test Acc: 62.02%
443
+ 2025-03-09 20:35:55,157 - train - INFO - Epoch: 89 | Batch: 0 | Loss: 1.281 | Acc: 59.38%
444
+ 2025-03-09 20:35:57,082 - train - INFO - Epoch: 89 | Batch: 100 | Loss: 1.027 | Acc: 65.76%
445
+ 2025-03-09 20:35:59,072 - train - INFO - Epoch: 89 | Batch: 200 | Loss: 1.056 | Acc: 64.67%
446
+ 2025-03-09 20:36:00,922 - train - INFO - Epoch: 89 | Batch: 300 | Loss: 1.067 | Acc: 64.10%
447
+ 2025-03-09 20:36:03,799 - train - INFO - Epoch: 89 | Test Loss: 1.044 | Test Acc: 64.42%
448
+ 2025-03-09 20:36:03,955 - train - INFO - Epoch: 90 | Batch: 0 | Loss: 1.228 | Acc: 53.91%
449
+ 2025-03-09 20:36:05,961 - train - INFO - Epoch: 90 | Batch: 100 | Loss: 1.043 | Acc: 64.84%
450
+ 2025-03-09 20:36:48,800 - train - INFO - Epoch: 90 | Batch: 200 | Loss: 1.040 | Acc: 64.89%
451
+ 2025-03-09 20:36:50,792 - train - INFO - Epoch: 90 | Batch: 300 | Loss: 1.049 | Acc: 64.79%
452
+ 2025-03-09 20:36:53,914 - train - INFO - Epoch: 90 | Test Loss: 1.150 | Test Acc: 61.58%
453
+ 2025-03-09 20:36:54,094 - train - INFO - Epoch: 91 | Batch: 0 | Loss: 1.127 | Acc: 59.38%
454
+ 2025-03-09 20:36:56,089 - train - INFO - Epoch: 91 | Batch: 100 | Loss: 1.053 | Acc: 64.09%
455
+ 2025-03-09 20:36:58,254 - train - INFO - Epoch: 91 | Batch: 200 | Loss: 1.043 | Acc: 64.86%
456
+ 2025-03-09 20:37:00,272 - train - INFO - Epoch: 91 | Batch: 300 | Loss: 1.049 | Acc: 64.74%
457
+ 2025-03-09 20:37:50,812 - train - INFO - Epoch: 91 | Test Loss: 1.092 | Test Acc: 63.34%
458
+ 2025-03-09 20:37:50,972 - train - INFO - Epoch: 92 | Batch: 0 | Loss: 1.025 | Acc: 66.41%
459
+ 2025-03-09 20:37:52,835 - train - INFO - Epoch: 92 | Batch: 100 | Loss: 1.039 | Acc: 64.90%
460
+ 2025-03-09 20:37:54,790 - train - INFO - Epoch: 92 | Batch: 200 | Loss: 1.041 | Acc: 64.68%
461
+ 2025-03-09 20:37:56,666 - train - INFO - Epoch: 92 | Batch: 300 | Loss: 1.037 | Acc: 64.84%
462
+ 2025-03-09 20:37:59,681 - train - INFO - Epoch: 92 | Test Loss: 1.112 | Test Acc: 62.78%
463
+ 2025-03-09 20:38:53,132 - train - INFO - Epoch: 93 | Batch: 0 | Loss: 1.193 | Acc: 56.25%
464
+ 2025-03-09 20:38:55,019 - train - INFO - Epoch: 93 | Batch: 100 | Loss: 1.057 | Acc: 64.53%
465
+ 2025-03-09 20:38:56,952 - train - INFO - Epoch: 93 | Batch: 200 | Loss: 1.046 | Acc: 65.06%
466
+ 2025-03-09 20:38:58,885 - train - INFO - Epoch: 93 | Batch: 300 | Loss: 1.044 | Acc: 65.08%
467
+ 2025-03-09 20:39:02,028 - train - INFO - Epoch: 93 | Test Loss: 1.024 | Test Acc: 65.24%
468
+ 2025-03-09 20:39:02,185 - train - INFO - Epoch: 94 | Batch: 0 | Loss: 1.010 | Acc: 64.06%
469
+ 2025-03-09 20:39:04,323 - train - INFO - Epoch: 94 | Batch: 100 | Loss: 1.023 | Acc: 65.28%
470
+ 2025-03-09 20:39:49,435 - train - INFO - Epoch: 94 | Batch: 200 | Loss: 1.023 | Acc: 65.44%
471
+ 2025-03-09 20:39:51,309 - train - INFO - Epoch: 94 | Batch: 300 | Loss: 1.027 | Acc: 65.52%
472
+ 2025-03-09 20:39:54,281 - train - INFO - Epoch: 94 | Test Loss: 1.013 | Test Acc: 67.01%
473
+ 2025-03-09 20:39:54,472 - train - INFO - Epoch: 95 | Batch: 0 | Loss: 1.236 | Acc: 59.38%
474
+ 2025-03-09 20:39:56,452 - train - INFO - Epoch: 95 | Batch: 100 | Loss: 1.011 | Acc: 65.98%
475
+ 2025-03-09 20:39:58,416 - train - INFO - Epoch: 95 | Batch: 200 | Loss: 1.012 | Acc: 65.91%
476
+ 2025-03-09 20:40:48,850 - train - INFO - Epoch: 95 | Batch: 300 | Loss: 1.019 | Acc: 65.65%
477
+ 2025-03-09 20:40:51,907 - train - INFO - Epoch: 95 | Test Loss: 0.994 | Test Acc: 66.97%
478
+ 2025-03-09 20:40:52,057 - train - INFO - Epoch: 96 | Batch: 0 | Loss: 0.973 | Acc: 67.97%
479
+ 2025-03-09 20:40:54,040 - train - INFO - Epoch: 96 | Batch: 100 | Loss: 1.040 | Acc: 65.18%
480
+ 2025-03-09 20:40:56,141 - train - INFO - Epoch: 96 | Batch: 200 | Loss: 1.035 | Acc: 64.95%
481
+ 2025-03-09 20:40:58,151 - train - INFO - Epoch: 96 | Batch: 300 | Loss: 1.021 | Acc: 65.43%
482
+ 2025-03-09 20:41:48,845 - train - INFO - Epoch: 96 | Test Loss: 1.065 | Test Acc: 64.38%
483
+ 2025-03-09 20:41:57,437 - train - INFO - Epoch: 97 | Batch: 0 | Loss: 0.995 | Acc: 66.41%
484
+ 2025-03-09 20:41:59,481 - train - INFO - Epoch: 97 | Batch: 100 | Loss: 1.012 | Acc: 66.12%
485
+ 2025-03-09 20:42:01,488 - train - INFO - Epoch: 97 | Batch: 200 | Loss: 0.995 | Acc: 66.64%
486
+ 2025-03-09 20:42:03,533 - train - INFO - Epoch: 97 | Batch: 300 | Loss: 1.014 | Acc: 66.01%
487
+ 2025-03-09 20:42:06,717 - train - INFO - Epoch: 97 | Test Loss: 1.043 | Test Acc: 64.98%
488
+ 2025-03-09 20:42:06,871 - train - INFO - Epoch: 98 | Batch: 0 | Loss: 1.299 | Acc: 58.59%
489
+ 2025-03-09 20:42:09,116 - train - INFO - Epoch: 98 | Batch: 100 | Loss: 0.971 | Acc: 67.10%
490
+ 2025-03-09 20:42:50,612 - train - INFO - Epoch: 98 | Batch: 200 | Loss: 0.997 | Acc: 66.37%
491
+ 2025-03-09 20:42:52,541 - train - INFO - Epoch: 98 | Batch: 300 | Loss: 1.001 | Acc: 66.31%
492
+ 2025-03-09 20:42:55,458 - train - INFO - Epoch: 98 | Test Loss: 1.017 | Test Acc: 65.77%
493
+ 2025-03-09 20:42:55,635 - train - INFO - Epoch: 99 | Batch: 0 | Loss: 1.074 | Acc: 66.41%
494
+ 2025-03-09 20:42:57,563 - train - INFO - Epoch: 99 | Batch: 100 | Loss: 1.027 | Acc: 65.38%
495
+ 2025-03-09 20:42:59,650 - train - INFO - Epoch: 99 | Batch: 200 | Loss: 1.013 | Acc: 66.04%
496
+ 2025-03-09 20:43:49,927 - train - INFO - Epoch: 99 | Batch: 300 | Loss: 1.010 | Acc: 66.04%
497
+ 2025-03-09 20:43:53,133 - train - INFO - Epoch: 99 | Test Loss: 1.013 | Test Acc: 66.35%
498
+ 2025-03-09 20:43:53,291 - train - INFO - Epoch: 100 | Batch: 0 | Loss: 0.778 | Acc: 76.56%
499
+ 2025-03-09 20:43:55,285 - train - INFO - Epoch: 100 | Batch: 100 | Loss: 0.999 | Acc: 66.10%
500
+ 2025-03-09 20:43:57,360 - train - INFO - Epoch: 100 | Batch: 200 | Loss: 0.995 | Acc: 66.41%
501
+ 2025-03-09 20:43:59,416 - train - INFO - Epoch: 100 | Batch: 300 | Loss: 0.994 | Acc: 66.56%
502
+ 2025-03-09 20:44:49,933 - train - INFO - Epoch: 100 | Test Loss: 1.009 | Test Acc: 65.66%
503
+ 2025-03-09 20:44:58,423 - train - INFO - 训练完成!
Image/AlexNet/code/train.py CHANGED
@@ -36,7 +36,7 @@ def main():
36
  train_model_backdoor(model, poison_ratio=0.1, target_label=0, epochs=args.epochs, lr=args.lr,
37
  device=f'cuda:{args.gpu}', save_dir='../model', model_name='alexnet',
38
  batch_size=args.batch_size, num_workers=args.num_workers,
39
- local_dataset_path=args.dataset_path)
40
 
41
  if __name__ == '__main__':
42
  main()
 
36
  train_model_backdoor(model, poison_ratio=0.1, target_label=0, epochs=args.epochs, lr=args.lr,
37
  device=f'cuda:{args.gpu}', save_dir='../model', model_name='alexnet',
38
  batch_size=args.batch_size, num_workers=args.num_workers,
39
+ local_dataset_path=args.dataset_path, layer_name='conv3.2')
40
 
41
  if __name__ == '__main__':
42
  main()
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