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code-philia
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mtpnet_image_models

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1 Parent(s): b0905bb

lenet 02 geoglenet 2

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  1. Image/GoogLeNet/code/backdoor_train.log +253 -0
  2. Image/GoogLeNet/model/2/epoch1/embeddings.npy +3 -0
  3. Image/GoogLeNet/model/2/epoch1/subject_model.pth +3 -0
  4. Image/GoogLeNet/model/2/epoch10/embeddings.npy +3 -0
  5. Image/GoogLeNet/model/2/epoch10/subject_model.pth +3 -0
  6. Image/GoogLeNet/model/2/epoch11/embeddings.npy +3 -0
  7. Image/GoogLeNet/model/2/epoch11/subject_model.pth +3 -0
  8. Image/GoogLeNet/model/2/epoch12/embeddings.npy +3 -0
  9. Image/GoogLeNet/model/2/epoch12/subject_model.pth +3 -0
  10. Image/GoogLeNet/model/2/epoch13/embeddings.npy +3 -0
  11. Image/GoogLeNet/model/2/epoch13/subject_model.pth +3 -0
  12. Image/GoogLeNet/model/2/epoch14/embeddings.npy +3 -0
  13. Image/GoogLeNet/model/2/epoch14/subject_model.pth +3 -0
  14. Image/GoogLeNet/model/2/epoch15/embeddings.npy +3 -0
  15. Image/GoogLeNet/model/2/epoch15/subject_model.pth +3 -0
  16. Image/GoogLeNet/model/2/epoch16/embeddings.npy +3 -0
  17. Image/GoogLeNet/model/2/epoch16/subject_model.pth +3 -0
  18. Image/GoogLeNet/model/2/epoch17/embeddings.npy +3 -0
  19. Image/GoogLeNet/model/2/epoch17/subject_model.pth +3 -0
  20. Image/GoogLeNet/model/2/epoch18/embeddings.npy +3 -0
  21. Image/GoogLeNet/model/2/epoch18/subject_model.pth +3 -0
  22. Image/GoogLeNet/model/2/epoch19/embeddings.npy +3 -0
  23. Image/GoogLeNet/model/2/epoch19/subject_model.pth +3 -0
  24. Image/GoogLeNet/model/2/epoch2/embeddings.npy +3 -0
  25. Image/GoogLeNet/model/2/epoch2/subject_model.pth +3 -0
  26. Image/GoogLeNet/model/2/epoch20/embeddings.npy +3 -0
  27. Image/GoogLeNet/model/2/epoch20/subject_model.pth +3 -0
  28. Image/GoogLeNet/model/2/epoch21/embeddings.npy +3 -0
  29. Image/GoogLeNet/model/2/epoch21/subject_model.pth +3 -0
  30. Image/GoogLeNet/model/2/epoch22/embeddings.npy +3 -0
  31. Image/GoogLeNet/model/2/epoch22/subject_model.pth +3 -0
  32. Image/GoogLeNet/model/2/epoch23/embeddings.npy +3 -0
  33. Image/GoogLeNet/model/2/epoch23/subject_model.pth +3 -0
  34. Image/GoogLeNet/model/2/epoch24/embeddings.npy +3 -0
  35. Image/GoogLeNet/model/2/epoch24/subject_model.pth +3 -0
  36. Image/GoogLeNet/model/2/epoch25/embeddings.npy +3 -0
  37. Image/GoogLeNet/model/2/epoch25/subject_model.pth +3 -0
  38. Image/GoogLeNet/model/2/epoch3/embeddings.npy +3 -0
  39. Image/GoogLeNet/model/2/epoch3/subject_model.pth +3 -0
  40. Image/GoogLeNet/model/2/epoch4/embeddings.npy +3 -0
  41. Image/GoogLeNet/model/2/epoch4/subject_model.pth +3 -0
  42. Image/GoogLeNet/model/2/epoch5/embeddings.npy +3 -0
  43. Image/GoogLeNet/model/2/epoch5/subject_model.pth +3 -0
  44. Image/GoogLeNet/model/2/epoch6/embeddings.npy +3 -0
  45. Image/GoogLeNet/model/2/epoch6/subject_model.pth +3 -0
  46. Image/GoogLeNet/model/2/epoch7/embeddings.npy +3 -0
  47. Image/GoogLeNet/model/2/epoch7/subject_model.pth +3 -0
  48. Image/GoogLeNet/model/2/epoch8/embeddings.npy +3 -0
  49. Image/GoogLeNet/model/2/epoch8/subject_model.pth +3 -0
  50. Image/GoogLeNet/model/2/epoch9/embeddings.npy +3 -0
Image/GoogLeNet/code/backdoor_train.log ADDED
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1
+ 2025-03-14 18:31:20,291 - train - INFO - 开始训练 googlenet
2
+ 2025-03-14 18:31:20,292 - train - INFO - 总轮数: 50, 学习率: 0.1, 设备: cuda:3
3
+ 2025-03-14 18:31:21,222 - train - INFO - Epoch: 1 | Batch: 0 | Loss: 2.312 | Acc: 8.59%
4
+ 2025-03-14 18:31:28,215 - train - INFO - Epoch: 1 | Batch: 100 | Loss: 2.092 | Acc: 25.94%
5
+ 2025-03-14 18:31:35,266 - train - INFO - Epoch: 1 | Batch: 200 | Loss: 1.897 | Acc: 31.04%
6
+ 2025-03-14 18:31:42,221 - train - INFO - Epoch: 1 | Batch: 300 | Loss: 1.747 | Acc: 36.20%
7
+ 2025-03-14 18:31:50,598 - train - INFO - Epoch: 1 | Test Loss: 1.445 | Test Acc: 49.22%
8
+ 2025-03-14 18:31:51,056 - train - INFO - Epoch: 2 | Batch: 0 | Loss: 1.294 | Acc: 53.12%
9
+ 2025-03-14 18:31:58,227 - train - INFO - Epoch: 2 | Batch: 100 | Loss: 1.207 | Acc: 56.52%
10
+ 2025-03-14 18:32:05,203 - train - INFO - Epoch: 2 | Batch: 200 | Loss: 1.168 | Acc: 57.99%
11
+ 2025-03-14 18:32:12,168 - train - INFO - Epoch: 2 | Batch: 300 | Loss: 1.125 | Acc: 59.77%
12
+ 2025-03-14 18:32:20,524 - train - INFO - Epoch: 2 | Test Loss: 1.125 | Test Acc: 60.74%
13
+ 2025-03-14 18:32:31,250 - train - INFO - Epoch: 3 | Batch: 0 | Loss: 1.041 | Acc: 62.50%
14
+ 2025-03-14 18:32:38,204 - train - INFO - Epoch: 3 | Batch: 100 | Loss: 0.941 | Acc: 67.26%
15
+ 2025-03-14 18:32:45,122 - train - INFO - Epoch: 3 | Batch: 200 | Loss: 0.916 | Acc: 68.09%
16
+ 2025-03-14 18:32:52,023 - train - INFO - Epoch: 3 | Batch: 300 | Loss: 0.901 | Acc: 68.80%
17
+ 2025-03-14 18:33:00,204 - train - INFO - Epoch: 3 | Test Loss: 1.086 | Test Acc: 64.29%
18
+ 2025-03-14 18:33:00,443 - train - INFO - Epoch: 4 | Batch: 0 | Loss: 0.814 | Acc: 69.53%
19
+ 2025-03-14 18:33:07,363 - train - INFO - Epoch: 4 | Batch: 100 | Loss: 0.779 | Acc: 73.75%
20
+ 2025-03-14 18:33:14,343 - train - INFO - Epoch: 4 | Batch: 200 | Loss: 0.757 | Acc: 74.37%
21
+ 2025-03-14 18:33:21,334 - train - INFO - Epoch: 4 | Batch: 300 | Loss: 0.746 | Acc: 74.65%
22
+ 2025-03-14 18:33:29,599 - train - INFO - Epoch: 4 | Test Loss: 0.788 | Test Acc: 72.94%
23
+ 2025-03-14 18:33:39,753 - train - INFO - Epoch: 5 | Batch: 0 | Loss: 0.608 | Acc: 80.47%
24
+ 2025-03-14 18:33:46,681 - train - INFO - Epoch: 5 | Batch: 100 | Loss: 0.675 | Acc: 77.30%
25
+ 2025-03-14 18:33:53,617 - train - INFO - Epoch: 5 | Batch: 200 | Loss: 0.663 | Acc: 77.99%
26
+ 2025-03-14 18:34:00,613 - train - INFO - Epoch: 5 | Batch: 300 | Loss: 0.659 | Acc: 78.01%
27
+ 2025-03-14 18:34:09,087 - train - INFO - Epoch: 5 | Test Loss: 0.913 | Test Acc: 70.15%
28
+ 2025-03-14 18:34:09,307 - train - INFO - Epoch: 6 | Batch: 0 | Loss: 0.679 | Acc: 75.00%
29
+ 2025-03-14 18:34:16,244 - train - INFO - Epoch: 6 | Batch: 100 | Loss: 0.609 | Acc: 79.80%
30
+ 2025-03-14 18:34:23,235 - train - INFO - Epoch: 6 | Batch: 200 | Loss: 0.608 | Acc: 79.80%
31
+ 2025-03-14 18:34:30,149 - train - INFO - Epoch: 6 | Batch: 300 | Loss: 0.604 | Acc: 79.90%
32
+ 2025-03-14 18:34:38,364 - train - INFO - Epoch: 6 | Test Loss: 0.770 | Test Acc: 75.07%
33
+ 2025-03-14 18:34:48,225 - train - INFO - Epoch: 7 | Batch: 0 | Loss: 0.457 | Acc: 83.59%
34
+ 2025-03-14 18:34:55,221 - train - INFO - Epoch: 7 | Batch: 100 | Loss: 0.560 | Acc: 81.25%
35
+ 2025-03-14 18:35:02,248 - train - INFO - Epoch: 7 | Batch: 200 | Loss: 0.567 | Acc: 81.18%
36
+ 2025-03-14 18:35:09,188 - train - INFO - Epoch: 7 | Batch: 300 | Loss: 0.568 | Acc: 81.13%
37
+ 2025-03-14 18:35:17,403 - train - INFO - Epoch: 7 | Test Loss: 0.679 | Test Acc: 76.28%
38
+ 2025-03-14 18:35:17,649 - train - INFO - Epoch: 8 | Batch: 0 | Loss: 0.513 | Acc: 85.16%
39
+ 2025-03-14 18:35:24,626 - train - INFO - Epoch: 8 | Batch: 100 | Loss: 0.533 | Acc: 82.65%
40
+ 2025-03-14 18:35:31,671 - train - INFO - Epoch: 8 | Batch: 200 | Loss: 0.534 | Acc: 82.40%
41
+ 2025-03-14 18:35:38,701 - train - INFO - Epoch: 8 | Batch: 300 | Loss: 0.546 | Acc: 82.06%
42
+ 2025-03-14 18:35:46,848 - train - INFO - Epoch: 8 | Test Loss: 0.625 | Test Acc: 79.10%
43
+ 2025-03-14 18:35:56,818 - train - INFO - Epoch: 9 | Batch: 0 | Loss: 0.459 | Acc: 85.94%
44
+ 2025-03-14 18:36:03,796 - train - INFO - Epoch: 9 | Batch: 100 | Loss: 0.518 | Acc: 83.04%
45
+ 2025-03-14 18:36:11,257 - train - INFO - Epoch: 9 | Batch: 200 | Loss: 0.519 | Acc: 82.80%
46
+ 2025-03-14 18:36:18,286 - train - INFO - Epoch: 9 | Batch: 300 | Loss: 0.518 | Acc: 82.91%
47
+ 2025-03-14 18:36:26,501 - train - INFO - Epoch: 9 | Test Loss: 0.734 | Test Acc: 75.82%
48
+ 2025-03-14 18:36:26,739 - train - INFO - Epoch: 10 | Batch: 0 | Loss: 0.431 | Acc: 85.94%
49
+ 2025-03-14 18:36:33,777 - train - INFO - Epoch: 10 | Batch: 100 | Loss: 0.497 | Acc: 83.81%
50
+ 2025-03-14 18:36:40,707 - train - INFO - Epoch: 10 | Batch: 200 | Loss: 0.501 | Acc: 83.66%
51
+ 2025-03-14 18:36:47,637 - train - INFO - Epoch: 10 | Batch: 300 | Loss: 0.503 | Acc: 83.56%
52
+ 2025-03-14 18:36:55,863 - train - INFO - Epoch: 10 | Test Loss: 0.750 | Test Acc: 75.56%
53
+ 2025-03-14 18:37:05,916 - train - INFO - Epoch: 11 | Batch: 0 | Loss: 0.489 | Acc: 83.59%
54
+ 2025-03-14 18:37:13,239 - train - INFO - Epoch: 11 | Batch: 100 | Loss: 0.482 | Acc: 84.23%
55
+ 2025-03-14 18:37:20,129 - train - INFO - Epoch: 11 | Batch: 200 | Loss: 0.485 | Acc: 84.08%
56
+ 2025-03-14 18:37:27,097 - train - INFO - Epoch: 11 | Batch: 300 | Loss: 0.491 | Acc: 83.91%
57
+ 2025-03-14 18:37:35,213 - train - INFO - Epoch: 11 | Test Loss: 1.081 | Test Acc: 65.30%
58
+ 2025-03-14 18:37:35,440 - train - INFO - Epoch: 12 | Batch: 0 | Loss: 0.406 | Acc: 89.84%
59
+ 2025-03-14 18:37:42,434 - train - INFO - Epoch: 12 | Batch: 100 | Loss: 0.476 | Acc: 84.36%
60
+ 2025-03-14 18:37:49,364 - train - INFO - Epoch: 12 | Batch: 200 | Loss: 0.488 | Acc: 84.07%
61
+ 2025-03-14 18:37:56,330 - train - INFO - Epoch: 12 | Batch: 300 | Loss: 0.485 | Acc: 84.26%
62
+ 2025-03-14 18:38:04,457 - train - INFO - Epoch: 12 | Test Loss: 0.702 | Test Acc: 77.19%
63
+ 2025-03-14 18:38:14,387 - train - INFO - Epoch: 13 | Batch: 0 | Loss: 0.424 | Acc: 87.50%
64
+ 2025-03-14 18:38:21,432 - train - INFO - Epoch: 13 | Batch: 100 | Loss: 0.477 | Acc: 84.16%
65
+ 2025-03-14 18:38:28,743 - train - INFO - Epoch: 13 | Batch: 200 | Loss: 0.477 | Acc: 84.28%
66
+ 2025-03-14 18:38:35,849 - train - INFO - Epoch: 13 | Batch: 300 | Loss: 0.477 | Acc: 84.28%
67
+ 2025-03-14 18:38:44,026 - train - INFO - Epoch: 13 | Test Loss: 0.741 | Test Acc: 76.15%
68
+ 2025-03-14 18:38:44,258 - train - INFO - Epoch: 14 | Batch: 0 | Loss: 0.452 | Acc: 85.94%
69
+ 2025-03-14 18:38:51,221 - train - INFO - Epoch: 14 | Batch: 100 | Loss: 0.447 | Acc: 85.49%
70
+ 2025-03-14 18:38:58,138 - train - INFO - Epoch: 14 | Batch: 200 | Loss: 0.460 | Acc: 84.93%
71
+ 2025-03-14 18:39:05,079 - train - INFO - Epoch: 14 | Batch: 300 | Loss: 0.467 | Acc: 84.76%
72
+ 2025-03-14 18:39:13,204 - train - INFO - Epoch: 14 | Test Loss: 0.766 | Test Acc: 74.77%
73
+ 2025-03-14 18:39:22,803 - train - INFO - Epoch: 15 | Batch: 0 | Loss: 0.499 | Acc: 82.81%
74
+ 2025-03-14 18:39:29,758 - train - INFO - Epoch: 15 | Batch: 100 | Loss: 0.441 | Acc: 85.46%
75
+ 2025-03-14 18:39:36,679 - train - INFO - Epoch: 15 | Batch: 200 | Loss: 0.443 | Acc: 85.55%
76
+ 2025-03-14 18:39:43,578 - train - INFO - Epoch: 15 | Batch: 300 | Loss: 0.451 | Acc: 85.27%
77
+ 2025-03-14 18:39:51,771 - train - INFO - Epoch: 15 | Test Loss: 0.645 | Test Acc: 79.15%
78
+ 2025-03-14 18:39:52,015 - train - INFO - Epoch: 16 | Batch: 0 | Loss: 0.420 | Acc: 87.50%
79
+ 2025-03-14 18:39:59,027 - train - INFO - Epoch: 16 | Batch: 100 | Loss: 0.446 | Acc: 85.44%
80
+ 2025-03-14 18:40:06,010 - train - INFO - Epoch: 16 | Batch: 200 | Loss: 0.452 | Acc: 85.33%
81
+ 2025-03-14 18:40:12,985 - train - INFO - Epoch: 16 | Batch: 300 | Loss: 0.454 | Acc: 85.31%
82
+ 2025-03-14 18:40:21,166 - train - INFO - Epoch: 16 | Test Loss: 0.646 | Test Acc: 77.47%
83
+ 2025-03-14 18:40:31,085 - train - INFO - Epoch: 17 | Batch: 0 | Loss: 0.443 | Acc: 86.72%
84
+ 2025-03-14 18:40:38,156 - train - INFO - Epoch: 17 | Batch: 100 | Loss: 0.432 | Acc: 86.05%
85
+ 2025-03-14 18:40:45,116 - train - INFO - Epoch: 17 | Batch: 200 | Loss: 0.429 | Acc: 86.07%
86
+ 2025-03-14 18:40:52,072 - train - INFO - Epoch: 17 | Batch: 300 | Loss: 0.434 | Acc: 85.92%
87
+ 2025-03-14 18:41:00,189 - train - INFO - Epoch: 17 | Test Loss: 0.689 | Test Acc: 77.78%
88
+ 2025-03-14 18:41:00,424 - train - INFO - Epoch: 18 | Batch: 0 | Loss: 0.558 | Acc: 80.47%
89
+ 2025-03-14 18:41:07,359 - train - INFO - Epoch: 18 | Batch: 100 | Loss: 0.436 | Acc: 85.83%
90
+ 2025-03-14 18:41:14,308 - train - INFO - Epoch: 18 | Batch: 200 | Loss: 0.435 | Acc: 85.90%
91
+ 2025-03-14 18:41:21,205 - train - INFO - Epoch: 18 | Batch: 300 | Loss: 0.440 | Acc: 85.65%
92
+ 2025-03-14 18:41:29,484 - train - INFO - Epoch: 18 | Test Loss: 0.989 | Test Acc: 71.68%
93
+ 2025-03-14 18:41:39,447 - train - INFO - Epoch: 19 | Batch: 0 | Loss: 0.436 | Acc: 82.81%
94
+ 2025-03-14 18:41:46,650 - train - INFO - Epoch: 19 | Batch: 100 | Loss: 0.426 | Acc: 86.03%
95
+ 2025-03-14 18:41:54,022 - train - INFO - Epoch: 19 | Batch: 200 | Loss: 0.432 | Acc: 85.74%
96
+ 2025-03-14 18:42:01,123 - train - INFO - Epoch: 19 | Batch: 300 | Loss: 0.428 | Acc: 85.88%
97
+ 2025-03-14 18:42:09,651 - train - INFO - Epoch: 19 | Test Loss: 0.515 | Test Acc: 82.56%
98
+ 2025-03-14 18:42:09,924 - train - INFO - Epoch: 20 | Batch: 0 | Loss: 0.391 | Acc: 82.81%
99
+ 2025-03-14 18:42:16,896 - train - INFO - Epoch: 20 | Batch: 100 | Loss: 0.421 | Acc: 86.05%
100
+ 2025-03-14 18:42:23,895 - train - INFO - Epoch: 20 | Batch: 200 | Loss: 0.420 | Acc: 86.23%
101
+ 2025-03-14 18:42:30,991 - train - INFO - Epoch: 20 | Batch: 300 | Loss: 0.423 | Acc: 86.19%
102
+ 2025-03-14 18:42:39,201 - train - INFO - Epoch: 20 | Test Loss: 0.589 | Test Acc: 80.34%
103
+ 2025-03-14 18:42:49,396 - train - INFO - Epoch: 21 | Batch: 0 | Loss: 0.435 | Acc: 80.47%
104
+ 2025-03-14 18:42:56,354 - train - INFO - Epoch: 21 | Batch: 100 | Loss: 0.410 | Acc: 86.80%
105
+ 2025-03-14 18:43:03,721 - train - INFO - Epoch: 21 | Batch: 200 | Loss: 0.415 | Acc: 86.52%
106
+ 2025-03-14 18:43:11,052 - train - INFO - Epoch: 21 | Batch: 300 | Loss: 0.418 | Acc: 86.47%
107
+ 2025-03-14 18:43:19,728 - train - INFO - Epoch: 21 | Test Loss: 0.663 | Test Acc: 76.98%
108
+ 2025-03-14 18:43:19,995 - train - INFO - Epoch: 22 | Batch: 0 | Loss: 0.416 | Acc: 87.50%
109
+ 2025-03-14 18:43:27,147 - train - INFO - Epoch: 22 | Batch: 100 | Loss: 0.397 | Acc: 87.29%
110
+ 2025-03-14 18:43:34,586 - train - INFO - Epoch: 22 | Batch: 200 | Loss: 0.400 | Acc: 87.05%
111
+ 2025-03-14 18:43:41,942 - train - INFO - Epoch: 22 | Batch: 300 | Loss: 0.404 | Acc: 86.85%
112
+ 2025-03-14 18:43:50,533 - train - INFO - Epoch: 22 | Test Loss: 0.608 | Test Acc: 79.83%
113
+ 2025-03-14 18:44:00,545 - train - INFO - Epoch: 23 | Batch: 0 | Loss: 0.477 | Acc: 83.59%
114
+ 2025-03-14 18:44:07,956 - train - INFO - Epoch: 23 | Batch: 100 | Loss: 0.412 | Acc: 86.49%
115
+ 2025-03-14 18:44:15,630 - train - INFO - Epoch: 23 | Batch: 200 | Loss: 0.413 | Acc: 86.48%
116
+ 2025-03-14 18:44:23,070 - train - INFO - Epoch: 23 | Batch: 300 | Loss: 0.413 | Acc: 86.48%
117
+ 2025-03-14 18:44:31,415 - train - INFO - Epoch: 23 | Test Loss: 0.899 | Test Acc: 72.21%
118
+ 2025-03-14 18:44:31,641 - train - INFO - Epoch: 24 | Batch: 0 | Loss: 0.433 | Acc: 84.38%
119
+ 2025-03-14 18:44:38,946 - train - INFO - Epoch: 24 | Batch: 100 | Loss: 0.378 | Acc: 87.86%
120
+ 2025-03-14 18:44:46,204 - train - INFO - Epoch: 24 | Batch: 200 | Loss: 0.391 | Acc: 87.29%
121
+ 2025-03-14 18:44:53,413 - train - INFO - Epoch: 24 | Batch: 300 | Loss: 0.398 | Acc: 87.05%
122
+ 2025-03-14 18:45:01,761 - train - INFO - Epoch: 24 | Test Loss: 0.561 | Test Acc: 80.88%
123
+ 2025-03-14 18:45:12,196 - train - INFO - Epoch: 25 | Batch: 0 | Loss: 0.439 | Acc: 84.38%
124
+ 2025-03-14 18:45:19,714 - train - INFO - Epoch: 25 | Batch: 100 | Loss: 0.389 | Acc: 87.44%
125
+ 2025-03-14 18:45:27,090 - train - INFO - Epoch: 25 | Batch: 200 | Loss: 0.400 | Acc: 86.98%
126
+ 2025-03-14 18:45:34,533 - train - INFO - Epoch: 25 | Batch: 300 | Loss: 0.401 | Acc: 86.99%
127
+ 2025-03-14 18:45:43,245 - train - INFO - Epoch: 25 | Test Loss: 0.674 | Test Acc: 77.48%
128
+ 2025-03-14 18:45:43,490 - train - INFO - Epoch: 26 | Batch: 0 | Loss: 0.369 | Acc: 86.72%
129
+ 2025-03-14 18:45:50,813 - train - INFO - Epoch: 26 | Batch: 100 | Loss: 0.395 | Acc: 87.08%
130
+ 2025-03-14 18:45:57,909 - train - INFO - Epoch: 26 | Batch: 200 | Loss: 0.398 | Acc: 87.18%
131
+ 2025-03-14 18:46:05,247 - train - INFO - Epoch: 26 | Batch: 300 | Loss: 0.402 | Acc: 87.02%
132
+ 2025-03-14 18:46:13,802 - train - INFO - Epoch: 26 | Test Loss: 0.656 | Test Acc: 78.80%
133
+ 2025-03-14 18:46:24,054 - train - INFO - Epoch: 27 | Batch: 0 | Loss: 0.308 | Acc: 89.84%
134
+ 2025-03-14 18:46:31,511 - train - INFO - Epoch: 27 | Batch: 100 | Loss: 0.396 | Acc: 87.24%
135
+ 2025-03-14 18:46:39,357 - train - INFO - Epoch: 27 | Batch: 200 | Loss: 0.395 | Acc: 87.38%
136
+ 2025-03-14 18:46:46,695 - train - INFO - Epoch: 27 | Batch: 300 | Loss: 0.393 | Acc: 87.33%
137
+ 2025-03-14 18:46:55,182 - train - INFO - Epoch: 27 | Test Loss: 0.689 | Test Acc: 77.25%
138
+ 2025-03-14 18:46:55,414 - train - INFO - Epoch: 28 | Batch: 0 | Loss: 0.388 | Acc: 86.72%
139
+ 2025-03-14 18:47:02,507 - train - INFO - Epoch: 28 | Batch: 100 | Loss: 0.387 | Acc: 87.59%
140
+ 2025-03-14 18:47:09,801 - train - INFO - Epoch: 28 | Batch: 200 | Loss: 0.396 | Acc: 87.31%
141
+ 2025-03-14 18:47:17,068 - train - INFO - Epoch: 28 | Batch: 300 | Loss: 0.394 | Acc: 87.34%
142
+ 2025-03-14 18:47:25,511 - train - INFO - Epoch: 28 | Test Loss: 0.470 | Test Acc: 84.73%
143
+ 2025-03-14 18:47:35,983 - train - INFO - Epoch: 29 | Batch: 0 | Loss: 0.355 | Acc: 89.84%
144
+ 2025-03-14 18:47:43,643 - train - INFO - Epoch: 29 | Batch: 100 | Loss: 0.377 | Acc: 87.65%
145
+ 2025-03-14 18:47:51,004 - train - INFO - Epoch: 29 | Batch: 200 | Loss: 0.391 | Acc: 87.23%
146
+ 2025-03-14 18:47:58,184 - train - INFO - Epoch: 29 | Batch: 300 | Loss: 0.395 | Acc: 87.15%
147
+ 2025-03-14 18:48:06,676 - train - INFO - Epoch: 29 | Test Loss: 0.678 | Test Acc: 77.69%
148
+ 2025-03-14 18:48:06,910 - train - INFO - Epoch: 30 | Batch: 0 | Loss: 0.515 | Acc: 84.38%
149
+ 2025-03-14 18:48:14,368 - train - INFO - Epoch: 30 | Batch: 100 | Loss: 0.377 | Acc: 88.01%
150
+ 2025-03-14 18:48:21,771 - train - INFO - Epoch: 30 | Batch: 200 | Loss: 0.386 | Acc: 87.42%
151
+ 2025-03-14 18:48:28,928 - train - INFO - Epoch: 30 | Batch: 300 | Loss: 0.386 | Acc: 87.42%
152
+ 2025-03-14 18:48:37,494 - train - INFO - Epoch: 30 | Test Loss: 0.586 | Test Acc: 80.55%
153
+ 2025-03-14 18:48:47,882 - train - INFO - Epoch: 31 | Batch: 0 | Loss: 0.252 | Acc: 92.97%
154
+ 2025-03-14 18:48:55,362 - train - INFO - Epoch: 31 | Batch: 100 | Loss: 0.353 | Acc: 88.71%
155
+ 2025-03-14 18:49:02,770 - train - INFO - Epoch: 31 | Batch: 200 | Loss: 0.371 | Acc: 88.06%
156
+ 2025-03-14 18:49:10,065 - train - INFO - Epoch: 31 | Batch: 300 | Loss: 0.377 | Acc: 87.85%
157
+ 2025-03-14 18:49:18,945 - train - INFO - Epoch: 31 | Test Loss: 0.647 | Test Acc: 78.50%
158
+ 2025-03-14 18:49:19,193 - train - INFO - Epoch: 32 | Batch: 0 | Loss: 0.384 | Acc: 83.59%
159
+ 2025-03-14 18:49:26,450 - train - INFO - Epoch: 32 | Batch: 100 | Loss: 0.373 | Acc: 88.00%
160
+ 2025-03-14 18:49:33,505 - train - INFO - Epoch: 32 | Batch: 200 | Loss: 0.373 | Acc: 87.97%
161
+ 2025-03-14 18:49:40,801 - train - INFO - Epoch: 32 | Batch: 300 | Loss: 0.375 | Acc: 87.90%
162
+ 2025-03-14 18:49:49,380 - train - INFO - Epoch: 32 | Test Loss: 0.711 | Test Acc: 77.94%
163
+ 2025-03-14 18:49:59,461 - train - INFO - Epoch: 33 | Batch: 0 | Loss: 0.487 | Acc: 85.94%
164
+ 2025-03-14 18:50:06,682 - train - INFO - Epoch: 33 | Batch: 100 | Loss: 0.374 | Acc: 87.84%
165
+ 2025-03-14 18:50:13,961 - train - INFO - Epoch: 33 | Batch: 200 | Loss: 0.377 | Acc: 87.75%
166
+ 2025-03-14 18:50:21,274 - train - INFO - Epoch: 33 | Batch: 300 | Loss: 0.381 | Acc: 87.68%
167
+ 2025-03-14 18:50:29,580 - train - INFO - Epoch: 33 | Test Loss: 0.697 | Test Acc: 76.06%
168
+ 2025-03-14 18:50:29,820 - train - INFO - Epoch: 34 | Batch: 0 | Loss: 0.334 | Acc: 89.84%
169
+ 2025-03-14 18:50:37,074 - train - INFO - Epoch: 34 | Batch: 100 | Loss: 0.379 | Acc: 87.65%
170
+ 2025-03-14 18:50:44,395 - train - INFO - Epoch: 34 | Batch: 200 | Loss: 0.374 | Acc: 87.91%
171
+ 2025-03-14 18:50:51,684 - train - INFO - Epoch: 34 | Batch: 300 | Loss: 0.376 | Acc: 87.83%
172
+ 2025-03-14 18:51:00,119 - train - INFO - Epoch: 34 | Test Loss: 0.992 | Test Acc: 70.77%
173
+ 2025-03-14 18:51:10,544 - train - INFO - Epoch: 35 | Batch: 0 | Loss: 0.377 | Acc: 87.50%
174
+ 2025-03-14 18:51:17,930 - train - INFO - Epoch: 35 | Batch: 100 | Loss: 0.362 | Acc: 88.38%
175
+ 2025-03-14 18:51:25,422 - train - INFO - Epoch: 35 | Batch: 200 | Loss: 0.370 | Acc: 88.11%
176
+ 2025-03-14 18:51:32,507 - train - INFO - Epoch: 35 | Batch: 300 | Loss: 0.377 | Acc: 87.89%
177
+ 2025-03-14 18:51:41,005 - train - INFO - Epoch: 35 | Test Loss: 0.463 | Test Acc: 85.28%
178
+ 2025-03-14 18:51:41,239 - train - INFO - Epoch: 36 | Batch: 0 | Loss: 0.324 | Acc: 87.50%
179
+ 2025-03-14 18:51:48,665 - train - INFO - Epoch: 36 | Batch: 100 | Loss: 0.342 | Acc: 88.98%
180
+ 2025-03-14 18:51:55,929 - train - INFO - Epoch: 36 | Batch: 200 | Loss: 0.363 | Acc: 88.21%
181
+ 2025-03-14 18:52:03,032 - train - INFO - Epoch: 36 | Batch: 300 | Loss: 0.368 | Acc: 88.07%
182
+ 2025-03-14 18:52:11,635 - train - INFO - Epoch: 36 | Test Loss: 0.583 | Test Acc: 81.06%
183
+ 2025-03-14 18:52:22,104 - train - INFO - Epoch: 37 | Batch: 0 | Loss: 0.340 | Acc: 88.28%
184
+ 2025-03-14 18:52:29,226 - train - INFO - Epoch: 37 | Batch: 100 | Loss: 0.347 | Acc: 88.73%
185
+ 2025-03-14 18:52:36,411 - train - INFO - Epoch: 37 | Batch: 200 | Loss: 0.360 | Acc: 88.43%
186
+ 2025-03-14 18:52:43,677 - train - INFO - Epoch: 37 | Batch: 300 | Loss: 0.369 | Acc: 88.09%
187
+ 2025-03-14 18:52:52,388 - train - INFO - Epoch: 37 | Test Loss: 0.564 | Test Acc: 81.73%
188
+ 2025-03-14 18:52:52,674 - train - INFO - Epoch: 38 | Batch: 0 | Loss: 0.327 | Acc: 90.62%
189
+ 2025-03-14 18:52:59,804 - train - INFO - Epoch: 38 | Batch: 100 | Loss: 0.354 | Acc: 88.45%
190
+ 2025-03-14 18:53:07,104 - train - INFO - Epoch: 38 | Batch: 200 | Loss: 0.367 | Acc: 88.20%
191
+ 2025-03-14 18:53:14,658 - train - INFO - Epoch: 38 | Batch: 300 | Loss: 0.368 | Acc: 88.29%
192
+ 2025-03-14 18:53:23,272 - train - INFO - Epoch: 38 | Test Loss: 0.600 | Test Acc: 81.34%
193
+ 2025-03-14 18:53:33,004 - train - INFO - Epoch: 39 | Batch: 0 | Loss: 0.269 | Acc: 91.41%
194
+ 2025-03-14 18:53:40,377 - train - INFO - Epoch: 39 | Batch: 100 | Loss: 0.341 | Acc: 89.06%
195
+ 2025-03-14 18:53:47,738 - train - INFO - Epoch: 39 | Batch: 200 | Loss: 0.347 | Acc: 88.99%
196
+ 2025-03-14 18:53:55,011 - train - INFO - Epoch: 39 | Batch: 300 | Loss: 0.361 | Acc: 88.44%
197
+ 2025-03-14 18:54:03,393 - train - INFO - Epoch: 39 | Test Loss: 0.550 | Test Acc: 82.52%
198
+ 2025-03-14 18:54:03,640 - train - INFO - Epoch: 40 | Batch: 0 | Loss: 0.374 | Acc: 86.72%
199
+ 2025-03-14 18:54:10,988 - train - INFO - Epoch: 40 | Batch: 100 | Loss: 0.363 | Acc: 88.36%
200
+ 2025-03-14 18:54:18,358 - train - INFO - Epoch: 40 | Batch: 200 | Loss: 0.365 | Acc: 88.25%
201
+ 2025-03-14 18:54:25,578 - train - INFO - Epoch: 40 | Batch: 300 | Loss: 0.365 | Acc: 88.25%
202
+ 2025-03-14 18:54:33,924 - train - INFO - Epoch: 40 | Test Loss: 0.777 | Test Acc: 75.62%
203
+ 2025-03-14 18:54:45,182 - train - INFO - Epoch: 41 | Batch: 0 | Loss: 0.244 | Acc: 92.97%
204
+ 2025-03-14 18:54:52,512 - train - INFO - Epoch: 41 | Batch: 100 | Loss: 0.326 | Acc: 89.37%
205
+ 2025-03-14 18:54:59,594 - train - INFO - Epoch: 41 | Batch: 200 | Loss: 0.342 | Acc: 88.81%
206
+ 2025-03-14 18:55:06,787 - train - INFO - Epoch: 41 | Batch: 300 | Loss: 0.351 | Acc: 88.56%
207
+ 2025-03-14 18:55:15,344 - train - INFO - Epoch: 41 | Test Loss: 0.876 | Test Acc: 73.90%
208
+ 2025-03-14 18:55:15,580 - train - INFO - Epoch: 42 | Batch: 0 | Loss: 0.242 | Acc: 90.62%
209
+ 2025-03-14 18:55:22,860 - train - INFO - Epoch: 42 | Batch: 100 | Loss: 0.339 | Acc: 89.23%
210
+ 2025-03-14 18:55:29,918 - train - INFO - Epoch: 42 | Batch: 200 | Loss: 0.350 | Acc: 88.91%
211
+ 2025-03-14 18:55:36,919 - train - INFO - Epoch: 42 | Batch: 300 | Loss: 0.356 | Acc: 88.66%
212
+ 2025-03-14 18:55:45,039 - train - INFO - Epoch: 42 | Test Loss: 0.649 | Test Acc: 79.72%
213
+ 2025-03-14 18:55:54,936 - train - INFO - Epoch: 43 | Batch: 0 | Loss: 0.386 | Acc: 87.50%
214
+ 2025-03-14 18:56:01,943 - train - INFO - Epoch: 43 | Batch: 100 | Loss: 0.344 | Acc: 88.71%
215
+ 2025-03-14 18:56:08,920 - train - INFO - Epoch: 43 | Batch: 200 | Loss: 0.347 | Acc: 88.67%
216
+ 2025-03-14 18:56:15,787 - train - INFO - Epoch: 43 | Batch: 300 | Loss: 0.353 | Acc: 88.59%
217
+ 2025-03-14 18:56:23,899 - train - INFO - Epoch: 43 | Test Loss: 0.649 | Test Acc: 79.67%
218
+ 2025-03-14 18:56:24,121 - train - INFO - Epoch: 44 | Batch: 0 | Loss: 0.316 | Acc: 89.06%
219
+ 2025-03-14 18:56:31,004 - train - INFO - Epoch: 44 | Batch: 100 | Loss: 0.349 | Acc: 88.54%
220
+ 2025-03-14 18:56:37,903 - train - INFO - Epoch: 44 | Batch: 200 | Loss: 0.351 | Acc: 88.56%
221
+ 2025-03-14 18:56:44,906 - train - INFO - Epoch: 44 | Batch: 300 | Loss: 0.359 | Acc: 88.30%
222
+ 2025-03-14 18:56:53,121 - train - INFO - Epoch: 44 | Test Loss: 0.492 | Test Acc: 83.67%
223
+ 2025-03-14 18:57:03,186 - train - INFO - Epoch: 45 | Batch: 0 | Loss: 0.235 | Acc: 92.97%
224
+ 2025-03-14 18:57:10,154 - train - INFO - Epoch: 45 | Batch: 100 | Loss: 0.331 | Acc: 89.50%
225
+ 2025-03-14 18:57:17,064 - train - INFO - Epoch: 45 | Batch: 200 | Loss: 0.346 | Acc: 88.84%
226
+ 2025-03-14 18:57:24,057 - train - INFO - Epoch: 45 | Batch: 300 | Loss: 0.346 | Acc: 88.87%
227
+ 2025-03-14 18:57:32,237 - train - INFO - Epoch: 45 | Test Loss: 0.589 | Test Acc: 81.24%
228
+ 2025-03-14 18:57:32,528 - train - INFO - Epoch: 46 | Batch: 0 | Loss: 0.400 | Acc: 88.28%
229
+ 2025-03-14 18:57:39,557 - train - INFO - Epoch: 46 | Batch: 100 | Loss: 0.349 | Acc: 88.92%
230
+ 2025-03-14 18:57:46,516 - train - INFO - Epoch: 46 | Batch: 200 | Loss: 0.353 | Acc: 88.71%
231
+ 2025-03-14 18:57:53,738 - train - INFO - Epoch: 46 | Batch: 300 | Loss: 0.353 | Acc: 88.72%
232
+ 2025-03-14 18:58:02,011 - train - INFO - Epoch: 46 | Test Loss: 0.677 | Test Acc: 78.95%
233
+ 2025-03-14 18:58:12,903 - train - INFO - Epoch: 47 | Batch: 0 | Loss: 0.241 | Acc: 92.97%
234
+ 2025-03-14 18:58:20,180 - train - INFO - Epoch: 47 | Batch: 100 | Loss: 0.322 | Acc: 90.06%
235
+ 2025-03-14 18:58:27,236 - train - INFO - Epoch: 47 | Batch: 200 | Loss: 0.340 | Acc: 89.31%
236
+ 2025-03-14 18:58:34,194 - train - INFO - Epoch: 47 | Batch: 300 | Loss: 0.341 | Acc: 89.26%
237
+ 2025-03-14 18:58:42,382 - train - INFO - Epoch: 47 | Test Loss: 0.471 | Test Acc: 84.72%
238
+ 2025-03-14 18:58:42,636 - train - INFO - Epoch: 48 | Batch: 0 | Loss: 0.331 | Acc: 89.06%
239
+ 2025-03-14 18:58:49,682 - train - INFO - Epoch: 48 | Batch: 100 | Loss: 0.331 | Acc: 89.20%
240
+ 2025-03-14 18:58:56,576 - train - INFO - Epoch: 48 | Batch: 200 | Loss: 0.340 | Acc: 89.05%
241
+ 2025-03-14 18:59:03,520 - train - INFO - Epoch: 48 | Batch: 300 | Loss: 0.341 | Acc: 89.00%
242
+ 2025-03-14 18:59:11,687 - train - INFO - Epoch: 48 | Test Loss: 0.482 | Test Acc: 84.36%
243
+ 2025-03-14 18:59:21,789 - train - INFO - Epoch: 49 | Batch: 0 | Loss: 0.436 | Acc: 85.16%
244
+ 2025-03-14 18:59:28,754 - train - INFO - Epoch: 49 | Batch: 100 | Loss: 0.334 | Acc: 89.57%
245
+ 2025-03-14 18:59:35,845 - train - INFO - Epoch: 49 | Batch: 200 | Loss: 0.334 | Acc: 89.27%
246
+ 2025-03-14 18:59:42,788 - train - INFO - Epoch: 49 | Batch: 300 | Loss: 0.344 | Acc: 88.89%
247
+ 2025-03-14 18:59:50,960 - train - INFO - Epoch: 49 | Test Loss: 0.923 | Test Acc: 73.10%
248
+ 2025-03-14 18:59:51,174 - train - INFO - Epoch: 50 | Batch: 0 | Loss: 0.190 | Acc: 92.19%
249
+ 2025-03-14 18:59:58,102 - train - INFO - Epoch: 50 | Batch: 100 | Loss: 0.320 | Acc: 89.76%
250
+ 2025-03-14 19:00:05,019 - train - INFO - Epoch: 50 | Batch: 200 | Loss: 0.328 | Acc: 89.75%
251
+ 2025-03-14 19:00:11,950 - train - INFO - Epoch: 50 | Batch: 300 | Loss: 0.340 | Acc: 89.21%
252
+ 2025-03-14 19:00:20,210 - train - INFO - Epoch: 50 | Test Loss: 0.964 | Test Acc: 73.76%
253
+ 2025-03-14 19:00:30,919 - train - INFO - 训练完成!
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