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code-philia
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mtpnet_image_models

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1 Parent(s): 8daed55

mobilenetv23

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  1. Image/MobileNetv2/code/backdoor_train.log +253 -0
  2. Image/MobileNetv2/model/2/epoch1/embeddings.npy +3 -0
  3. Image/MobileNetv2/model/2/epoch1/subject_model.pth +3 -0
  4. Image/MobileNetv2/model/2/epoch10/embeddings.npy +3 -0
  5. Image/MobileNetv2/model/2/epoch10/subject_model.pth +3 -0
  6. Image/MobileNetv2/model/2/epoch11/embeddings.npy +3 -0
  7. Image/MobileNetv2/model/2/epoch11/subject_model.pth +3 -0
  8. Image/MobileNetv2/model/2/epoch12/embeddings.npy +3 -0
  9. Image/MobileNetv2/model/2/epoch12/subject_model.pth +3 -0
  10. Image/MobileNetv2/model/2/epoch13/embeddings.npy +3 -0
  11. Image/MobileNetv2/model/2/epoch13/subject_model.pth +3 -0
  12. Image/MobileNetv2/model/2/epoch14/embeddings.npy +3 -0
  13. Image/MobileNetv2/model/2/epoch14/subject_model.pth +3 -0
  14. Image/MobileNetv2/model/2/epoch15/embeddings.npy +3 -0
  15. Image/MobileNetv2/model/2/epoch15/subject_model.pth +3 -0
  16. Image/MobileNetv2/model/2/epoch16/embeddings.npy +3 -0
  17. Image/MobileNetv2/model/2/epoch16/subject_model.pth +3 -0
  18. Image/MobileNetv2/model/2/epoch17/embeddings.npy +3 -0
  19. Image/MobileNetv2/model/2/epoch17/subject_model.pth +3 -0
  20. Image/MobileNetv2/model/2/epoch18/embeddings.npy +3 -0
  21. Image/MobileNetv2/model/2/epoch18/subject_model.pth +3 -0
  22. Image/MobileNetv2/model/2/epoch19/embeddings.npy +3 -0
  23. Image/MobileNetv2/model/2/epoch19/subject_model.pth +3 -0
  24. Image/MobileNetv2/model/2/epoch2/embeddings.npy +3 -0
  25. Image/MobileNetv2/model/2/epoch2/subject_model.pth +3 -0
  26. Image/MobileNetv2/model/2/epoch20/embeddings.npy +3 -0
  27. Image/MobileNetv2/model/2/epoch20/subject_model.pth +3 -0
  28. Image/MobileNetv2/model/2/epoch21/embeddings.npy +3 -0
  29. Image/MobileNetv2/model/2/epoch21/subject_model.pth +3 -0
  30. Image/MobileNetv2/model/2/epoch22/embeddings.npy +3 -0
  31. Image/MobileNetv2/model/2/epoch22/subject_model.pth +3 -0
  32. Image/MobileNetv2/model/2/epoch23/embeddings.npy +3 -0
  33. Image/MobileNetv2/model/2/epoch23/subject_model.pth +3 -0
  34. Image/MobileNetv2/model/2/epoch24/embeddings.npy +3 -0
  35. Image/MobileNetv2/model/2/epoch24/subject_model.pth +3 -0
  36. Image/MobileNetv2/model/2/epoch25/embeddings.npy +3 -0
  37. Image/MobileNetv2/model/2/epoch25/subject_model.pth +3 -0
  38. Image/MobileNetv2/model/2/epoch3/embeddings.npy +3 -0
  39. Image/MobileNetv2/model/2/epoch3/subject_model.pth +3 -0
  40. Image/MobileNetv2/model/2/epoch4/embeddings.npy +3 -0
  41. Image/MobileNetv2/model/2/epoch4/subject_model.pth +3 -0
  42. Image/MobileNetv2/model/2/epoch5/embeddings.npy +3 -0
  43. Image/MobileNetv2/model/2/epoch5/subject_model.pth +3 -0
  44. Image/MobileNetv2/model/2/epoch6/embeddings.npy +3 -0
  45. Image/MobileNetv2/model/2/epoch6/subject_model.pth +3 -0
  46. Image/MobileNetv2/model/2/epoch7/embeddings.npy +3 -0
  47. Image/MobileNetv2/model/2/epoch7/subject_model.pth +3 -0
  48. Image/MobileNetv2/model/2/epoch8/embeddings.npy +3 -0
  49. Image/MobileNetv2/model/2/epoch8/subject_model.pth +3 -0
  50. Image/MobileNetv2/model/2/epoch9/embeddings.npy +3 -0
Image/MobileNetv2/code/backdoor_train.log ADDED
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1
+ 2025-03-14 19:34:13,960 - train - INFO - 开始训练 mobilenetv2
2
+ 2025-03-14 19:34:13,960 - train - INFO - 总轮数: 50, 学习率: 0.1, 设备: cuda:2
3
+ 2025-03-14 19:34:14,824 - train - INFO - Epoch: 1 | Batch: 0 | Loss: 2.343 | Acc: 7.81%
4
+ 2025-03-14 19:34:18,227 - train - INFO - Epoch: 1 | Batch: 100 | Loss: 2.437 | Acc: 19.93%
5
+ 2025-03-14 19:34:21,529 - train - INFO - Epoch: 1 | Batch: 200 | Loss: 2.106 | Acc: 26.41%
6
+ 2025-03-14 19:34:25,012 - train - INFO - Epoch: 1 | Batch: 300 | Loss: 1.947 | Acc: 30.59%
7
+ 2025-03-14 19:34:30,049 - train - INFO - Epoch: 1 | Test Loss: 1.551 | Test Acc: 44.73%
8
+ 2025-03-14 19:34:30,584 - train - INFO - Epoch: 2 | Batch: 0 | Loss: 1.549 | Acc: 37.50%
9
+ 2025-03-14 19:34:33,915 - train - INFO - Epoch: 2 | Batch: 100 | Loss: 1.356 | Acc: 50.95%
10
+ 2025-03-14 19:34:37,167 - train - INFO - Epoch: 2 | Batch: 200 | Loss: 1.292 | Acc: 53.64%
11
+ 2025-03-14 19:34:40,496 - train - INFO - Epoch: 2 | Batch: 300 | Loss: 1.243 | Acc: 55.62%
12
+ 2025-03-14 19:34:45,598 - train - INFO - Epoch: 2 | Test Loss: 1.072 | Test Acc: 61.44%
13
+ 2025-03-14 19:35:01,116 - train - INFO - Epoch: 3 | Batch: 0 | Loss: 1.011 | Acc: 70.31%
14
+ 2025-03-14 19:35:06,134 - train - INFO - Epoch: 3 | Batch: 100 | Loss: 1.027 | Acc: 63.92%
15
+ 2025-03-14 19:35:10,627 - train - INFO - Epoch: 3 | Batch: 200 | Loss: 1.010 | Acc: 64.62%
16
+ 2025-03-14 19:35:14,706 - train - INFO - Epoch: 3 | Batch: 300 | Loss: 0.996 | Acc: 65.22%
17
+ 2025-03-14 19:35:20,364 - train - INFO - Epoch: 3 | Test Loss: 0.871 | Test Acc: 69.34%
18
+ 2025-03-14 19:35:20,817 - train - INFO - Epoch: 4 | Batch: 0 | Loss: 0.923 | Acc: 68.75%
19
+ 2025-03-14 19:35:24,679 - train - INFO - Epoch: 4 | Batch: 100 | Loss: 0.881 | Acc: 69.57%
20
+ 2025-03-14 19:35:28,088 - train - INFO - Epoch: 4 | Batch: 200 | Loss: 0.871 | Acc: 70.01%
21
+ 2025-03-14 19:35:31,594 - train - INFO - Epoch: 4 | Batch: 300 | Loss: 0.857 | Acc: 70.56%
22
+ 2025-03-14 19:35:36,716 - train - INFO - Epoch: 4 | Test Loss: 0.965 | Test Acc: 68.49%
23
+ 2025-03-14 19:35:48,118 - train - INFO - Epoch: 5 | Batch: 0 | Loss: 1.103 | Acc: 67.19%
24
+ 2025-03-14 19:35:51,538 - train - INFO - Epoch: 5 | Batch: 100 | Loss: 0.789 | Acc: 73.24%
25
+ 2025-03-14 19:35:54,853 - train - INFO - Epoch: 5 | Batch: 200 | Loss: 0.786 | Acc: 73.25%
26
+ 2025-03-14 19:35:58,041 - train - INFO - Epoch: 5 | Batch: 300 | Loss: 0.781 | Acc: 73.45%
27
+ 2025-03-14 19:36:02,649 - train - INFO - Epoch: 5 | Test Loss: 0.710 | Test Acc: 75.54%
28
+ 2025-03-14 19:36:02,867 - train - INFO - Epoch: 6 | Batch: 0 | Loss: 0.743 | Acc: 75.78%
29
+ 2025-03-14 19:36:06,290 - train - INFO - Epoch: 6 | Batch: 100 | Loss: 0.735 | Acc: 75.52%
30
+ 2025-03-14 19:36:09,827 - train - INFO - Epoch: 6 | Batch: 200 | Loss: 0.740 | Acc: 75.27%
31
+ 2025-03-14 19:36:13,150 - train - INFO - Epoch: 6 | Batch: 300 | Loss: 0.737 | Acc: 75.34%
32
+ 2025-03-14 19:36:17,728 - train - INFO - Epoch: 6 | Test Loss: 0.850 | Test Acc: 71.43%
33
+ 2025-03-14 19:36:29,047 - train - INFO - Epoch: 7 | Batch: 0 | Loss: 0.764 | Acc: 71.88%
34
+ 2025-03-14 19:36:32,484 - train - INFO - Epoch: 7 | Batch: 100 | Loss: 0.687 | Acc: 76.92%
35
+ 2025-03-14 19:36:36,055 - train - INFO - Epoch: 7 | Batch: 200 | Loss: 0.692 | Acc: 76.60%
36
+ 2025-03-14 19:36:40,123 - train - INFO - Epoch: 7 | Batch: 300 | Loss: 0.703 | Acc: 76.35%
37
+ 2025-03-14 19:36:45,256 - train - INFO - Epoch: 7 | Test Loss: 0.756 | Test Acc: 74.37%
38
+ 2025-03-14 19:36:45,496 - train - INFO - Epoch: 8 | Batch: 0 | Loss: 0.576 | Acc: 81.25%
39
+ 2025-03-14 19:36:49,278 - train - INFO - Epoch: 8 | Batch: 100 | Loss: 0.680 | Acc: 77.41%
40
+ 2025-03-14 19:36:52,908 - train - INFO - Epoch: 8 | Batch: 200 | Loss: 0.688 | Acc: 77.13%
41
+ 2025-03-14 19:36:56,915 - train - INFO - Epoch: 8 | Batch: 300 | Loss: 0.679 | Acc: 77.49%
42
+ 2025-03-14 19:37:01,795 - train - INFO - Epoch: 8 | Test Loss: 1.103 | Test Acc: 64.27%
43
+ 2025-03-14 19:37:14,687 - train - INFO - Epoch: 9 | Batch: 0 | Loss: 0.588 | Acc: 82.03%
44
+ 2025-03-14 19:37:18,396 - train - INFO - Epoch: 9 | Batch: 100 | Loss: 0.688 | Acc: 77.20%
45
+ 2025-03-14 19:37:21,730 - train - INFO - Epoch: 9 | Batch: 200 | Loss: 0.677 | Acc: 77.54%
46
+ 2025-03-14 19:37:25,041 - train - INFO - Epoch: 9 | Batch: 300 | Loss: 0.675 | Acc: 77.44%
47
+ 2025-03-14 19:37:29,737 - train - INFO - Epoch: 9 | Test Loss: 0.690 | Test Acc: 76.95%
48
+ 2025-03-14 19:37:29,997 - train - INFO - Epoch: 10 | Batch: 0 | Loss: 0.586 | Acc: 81.25%
49
+ 2025-03-14 19:37:33,361 - train - INFO - Epoch: 10 | Batch: 100 | Loss: 0.667 | Acc: 78.05%
50
+ 2025-03-14 19:37:36,656 - train - INFO - Epoch: 10 | Batch: 200 | Loss: 0.682 | Acc: 77.28%
51
+ 2025-03-14 19:37:40,019 - train - INFO - Epoch: 10 | Batch: 300 | Loss: 0.675 | Acc: 77.60%
52
+ 2025-03-14 19:37:44,637 - train - INFO - Epoch: 10 | Test Loss: 0.741 | Test Acc: 75.22%
53
+ 2025-03-14 19:37:55,613 - train - INFO - Epoch: 11 | Batch: 0 | Loss: 0.756 | Acc: 73.44%
54
+ 2025-03-14 19:37:58,897 - train - INFO - Epoch: 11 | Batch: 100 | Loss: 0.669 | Acc: 77.92%
55
+ 2025-03-14 19:38:02,173 - train - INFO - Epoch: 11 | Batch: 200 | Loss: 0.664 | Acc: 78.07%
56
+ 2025-03-14 19:38:05,475 - train - INFO - Epoch: 11 | Batch: 300 | Loss: 0.665 | Acc: 78.08%
57
+ 2025-03-14 19:38:09,934 - train - INFO - Epoch: 11 | Test Loss: 0.772 | Test Acc: 74.38%
58
+ 2025-03-14 19:38:10,194 - train - INFO - Epoch: 12 | Batch: 0 | Loss: 0.741 | Acc: 75.00%
59
+ 2025-03-14 19:38:13,918 - train - INFO - Epoch: 12 | Batch: 100 | Loss: 0.666 | Acc: 78.12%
60
+ 2025-03-14 19:38:17,447 - train - INFO - Epoch: 12 | Batch: 200 | Loss: 0.663 | Acc: 78.11%
61
+ 2025-03-14 19:38:20,884 - train - INFO - Epoch: 12 | Batch: 300 | Loss: 0.659 | Acc: 78.18%
62
+ 2025-03-14 19:38:25,527 - train - INFO - Epoch: 12 | Test Loss: 0.781 | Test Acc: 73.37%
63
+ 2025-03-14 19:38:36,897 - train - INFO - Epoch: 13 | Batch: 0 | Loss: 0.786 | Acc: 73.44%
64
+ 2025-03-14 19:38:40,292 - train - INFO - Epoch: 13 | Batch: 100 | Loss: 0.656 | Acc: 78.43%
65
+ 2025-03-14 19:38:43,722 - train - INFO - Epoch: 13 | Batch: 200 | Loss: 0.655 | Acc: 78.47%
66
+ 2025-03-14 19:38:47,038 - train - INFO - Epoch: 13 | Batch: 300 | Loss: 0.654 | Acc: 78.41%
67
+ 2025-03-14 19:38:52,076 - train - INFO - Epoch: 13 | Test Loss: 0.843 | Test Acc: 71.75%
68
+ 2025-03-14 19:38:52,373 - train - INFO - Epoch: 14 | Batch: 0 | Loss: 0.789 | Acc: 71.88%
69
+ 2025-03-14 19:38:55,765 - train - INFO - Epoch: 14 | Batch: 100 | Loss: 0.635 | Acc: 78.76%
70
+ 2025-03-14 19:38:59,154 - train - INFO - Epoch: 14 | Batch: 200 | Loss: 0.649 | Acc: 78.32%
71
+ 2025-03-14 19:39:02,796 - train - INFO - Epoch: 14 | Batch: 300 | Loss: 0.657 | Acc: 78.11%
72
+ 2025-03-14 19:39:07,795 - train - INFO - Epoch: 14 | Test Loss: 0.706 | Test Acc: 75.67%
73
+ 2025-03-14 19:39:19,690 - train - INFO - Epoch: 15 | Batch: 0 | Loss: 0.754 | Acc: 73.44%
74
+ 2025-03-14 19:39:23,082 - train - INFO - Epoch: 15 | Batch: 100 | Loss: 0.637 | Acc: 78.79%
75
+ 2025-03-14 19:39:26,597 - train - INFO - Epoch: 15 | Batch: 200 | Loss: 0.653 | Acc: 78.16%
76
+ 2025-03-14 19:39:30,270 - train - INFO - Epoch: 15 | Batch: 300 | Loss: 0.657 | Acc: 78.00%
77
+ 2025-03-14 19:39:35,329 - train - INFO - Epoch: 15 | Test Loss: 0.973 | Test Acc: 69.48%
78
+ 2025-03-14 19:39:35,603 - train - INFO - Epoch: 16 | Batch: 0 | Loss: 0.637 | Acc: 77.34%
79
+ 2025-03-14 19:39:39,191 - train - INFO - Epoch: 16 | Batch: 100 | Loss: 0.643 | Acc: 78.73%
80
+ 2025-03-14 19:39:42,808 - train - INFO - Epoch: 16 | Batch: 200 | Loss: 0.656 | Acc: 78.33%
81
+ 2025-03-14 19:39:46,368 - train - INFO - Epoch: 16 | Batch: 300 | Loss: 0.657 | Acc: 78.34%
82
+ 2025-03-14 19:39:51,262 - train - INFO - Epoch: 16 | Test Loss: 0.645 | Test Acc: 77.94%
83
+ 2025-03-14 19:40:02,465 - train - INFO - Epoch: 17 | Batch: 0 | Loss: 0.689 | Acc: 78.12%
84
+ 2025-03-14 19:40:05,700 - train - INFO - Epoch: 17 | Batch: 100 | Loss: 0.656 | Acc: 78.31%
85
+ 2025-03-14 19:40:08,941 - train - INFO - Epoch: 17 | Batch: 200 | Loss: 0.659 | Acc: 78.00%
86
+ 2025-03-14 19:40:12,210 - train - INFO - Epoch: 17 | Batch: 300 | Loss: 0.654 | Acc: 78.12%
87
+ 2025-03-14 19:40:17,353 - train - INFO - Epoch: 17 | Test Loss: 0.788 | Test Acc: 73.69%
88
+ 2025-03-14 19:40:17,627 - train - INFO - Epoch: 18 | Batch: 0 | Loss: 0.796 | Acc: 75.00%
89
+ 2025-03-14 19:40:20,935 - train - INFO - Epoch: 18 | Batch: 100 | Loss: 0.619 | Acc: 79.47%
90
+ 2025-03-14 19:40:24,294 - train - INFO - Epoch: 18 | Batch: 200 | Loss: 0.636 | Acc: 78.87%
91
+ 2025-03-14 19:40:27,713 - train - INFO - Epoch: 18 | Batch: 300 | Loss: 0.642 | Acc: 78.64%
92
+ 2025-03-14 19:40:32,231 - train - INFO - Epoch: 18 | Test Loss: 0.649 | Test Acc: 78.28%
93
+ 2025-03-14 19:40:45,148 - train - INFO - Epoch: 19 | Batch: 0 | Loss: 0.598 | Acc: 78.12%
94
+ 2025-03-14 19:40:48,751 - train - INFO - Epoch: 19 | Batch: 100 | Loss: 0.642 | Acc: 78.30%
95
+ 2025-03-14 19:40:52,160 - train - INFO - Epoch: 19 | Batch: 200 | Loss: 0.633 | Acc: 79.06%
96
+ 2025-03-14 19:40:55,553 - train - INFO - Epoch: 19 | Batch: 300 | Loss: 0.639 | Acc: 78.77%
97
+ 2025-03-14 19:41:00,037 - train - INFO - Epoch: 19 | Test Loss: 0.758 | Test Acc: 74.52%
98
+ 2025-03-14 19:41:00,266 - train - INFO - Epoch: 20 | Batch: 0 | Loss: 0.699 | Acc: 78.91%
99
+ 2025-03-14 19:41:03,650 - train - INFO - Epoch: 20 | Batch: 100 | Loss: 0.641 | Acc: 79.18%
100
+ 2025-03-14 19:41:06,904 - train - INFO - Epoch: 20 | Batch: 200 | Loss: 0.645 | Acc: 78.75%
101
+ 2025-03-14 19:41:10,217 - train - INFO - Epoch: 20 | Batch: 300 | Loss: 0.651 | Acc: 78.54%
102
+ 2025-03-14 19:41:15,170 - train - INFO - Epoch: 20 | Test Loss: 0.942 | Test Acc: 69.15%
103
+ 2025-03-14 19:41:26,518 - train - INFO - Epoch: 21 | Batch: 0 | Loss: 0.722 | Acc: 75.00%
104
+ 2025-03-14 19:41:29,940 - train - INFO - Epoch: 21 | Batch: 100 | Loss: 0.642 | Acc: 78.69%
105
+ 2025-03-14 19:41:33,495 - train - INFO - Epoch: 21 | Batch: 200 | Loss: 0.651 | Acc: 78.30%
106
+ 2025-03-14 19:41:36,904 - train - INFO - Epoch: 21 | Batch: 300 | Loss: 0.654 | Acc: 78.37%
107
+ 2025-03-14 19:41:42,216 - train - INFO - Epoch: 21 | Test Loss: 0.653 | Test Acc: 78.49%
108
+ 2025-03-14 19:41:42,526 - train - INFO - Epoch: 22 | Batch: 0 | Loss: 0.722 | Acc: 78.12%
109
+ 2025-03-14 19:41:46,440 - train - INFO - Epoch: 22 | Batch: 100 | Loss: 0.646 | Acc: 78.98%
110
+ 2025-03-14 19:41:50,554 - train - INFO - Epoch: 22 | Batch: 200 | Loss: 0.647 | Acc: 78.78%
111
+ 2025-03-14 19:41:54,284 - train - INFO - Epoch: 22 | Batch: 300 | Loss: 0.645 | Acc: 78.79%
112
+ 2025-03-14 19:41:59,252 - train - INFO - Epoch: 22 | Test Loss: 0.668 | Test Acc: 76.99%
113
+ 2025-03-14 19:42:11,832 - train - INFO - Epoch: 23 | Batch: 0 | Loss: 0.549 | Acc: 80.47%
114
+ 2025-03-14 19:42:15,126 - train - INFO - Epoch: 23 | Batch: 100 | Loss: 0.624 | Acc: 78.83%
115
+ 2025-03-14 19:42:18,419 - train - INFO - Epoch: 23 | Batch: 200 | Loss: 0.635 | Acc: 78.79%
116
+ 2025-03-14 19:42:21,633 - train - INFO - Epoch: 23 | Batch: 300 | Loss: 0.632 | Acc: 78.91%
117
+ 2025-03-14 19:42:26,712 - train - INFO - Epoch: 23 | Test Loss: 0.754 | Test Acc: 74.86%
118
+ 2025-03-14 19:42:26,957 - train - INFO - Epoch: 24 | Batch: 0 | Loss: 0.438 | Acc: 86.72%
119
+ 2025-03-14 19:42:30,229 - train - INFO - Epoch: 24 | Batch: 100 | Loss: 0.637 | Acc: 78.90%
120
+ 2025-03-14 19:42:33,523 - train - INFO - Epoch: 24 | Batch: 200 | Loss: 0.639 | Acc: 78.73%
121
+ 2025-03-14 19:42:36,716 - train - INFO - Epoch: 24 | Batch: 300 | Loss: 0.633 | Acc: 78.95%
122
+ 2025-03-14 19:42:41,197 - train - INFO - Epoch: 24 | Test Loss: 0.851 | Test Acc: 72.15%
123
+ 2025-03-14 19:42:53,065 - train - INFO - Epoch: 25 | Batch: 0 | Loss: 0.541 | Acc: 80.47%
124
+ 2025-03-14 19:42:56,327 - train - INFO - Epoch: 25 | Batch: 100 | Loss: 0.642 | Acc: 78.20%
125
+ 2025-03-14 19:42:59,601 - train - INFO - Epoch: 25 | Batch: 200 | Loss: 0.636 | Acc: 78.85%
126
+ 2025-03-14 19:43:02,944 - train - INFO - Epoch: 25 | Batch: 300 | Loss: 0.638 | Acc: 78.86%
127
+ 2025-03-14 19:43:07,734 - train - INFO - Epoch: 25 | Test Loss: 0.992 | Test Acc: 70.15%
128
+ 2025-03-14 19:43:08,005 - train - INFO - Epoch: 26 | Batch: 0 | Loss: 0.519 | Acc: 82.81%
129
+ 2025-03-14 19:43:11,406 - train - INFO - Epoch: 26 | Batch: 100 | Loss: 0.607 | Acc: 80.00%
130
+ 2025-03-14 19:43:14,778 - train - INFO - Epoch: 26 | Batch: 200 | Loss: 0.629 | Acc: 79.06%
131
+ 2025-03-14 19:43:18,070 - train - INFO - Epoch: 26 | Batch: 300 | Loss: 0.628 | Acc: 79.10%
132
+ 2025-03-14 19:43:22,670 - train - INFO - Epoch: 26 | Test Loss: 0.671 | Test Acc: 77.26%
133
+ 2025-03-14 19:43:33,686 - train - INFO - Epoch: 27 | Batch: 0 | Loss: 0.671 | Acc: 78.12%
134
+ 2025-03-14 19:43:37,086 - train - INFO - Epoch: 27 | Batch: 100 | Loss: 0.621 | Acc: 79.70%
135
+ 2025-03-14 19:43:40,311 - train - INFO - Epoch: 27 | Batch: 200 | Loss: 0.620 | Acc: 79.59%
136
+ 2025-03-14 19:43:43,622 - train - INFO - Epoch: 27 | Batch: 300 | Loss: 0.627 | Acc: 79.41%
137
+ 2025-03-14 19:43:48,359 - train - INFO - Epoch: 27 | Test Loss: 0.662 | Test Acc: 77.75%
138
+ 2025-03-14 19:43:48,711 - train - INFO - Epoch: 28 | Batch: 0 | Loss: 0.576 | Acc: 82.81%
139
+ 2025-03-14 19:43:52,170 - train - INFO - Epoch: 28 | Batch: 100 | Loss: 0.630 | Acc: 79.00%
140
+ 2025-03-14 19:43:55,513 - train - INFO - Epoch: 28 | Batch: 200 | Loss: 0.627 | Acc: 79.05%
141
+ 2025-03-14 19:43:58,821 - train - INFO - Epoch: 28 | Batch: 300 | Loss: 0.635 | Acc: 78.75%
142
+ 2025-03-14 19:44:03,266 - train - INFO - Epoch: 28 | Test Loss: 0.724 | Test Acc: 74.87%
143
+ 2025-03-14 19:44:13,667 - train - INFO - Epoch: 29 | Batch: 0 | Loss: 0.646 | Acc: 81.25%
144
+ 2025-03-14 19:44:16,941 - train - INFO - Epoch: 29 | Batch: 100 | Loss: 0.628 | Acc: 79.19%
145
+ 2025-03-14 19:44:20,482 - train - INFO - Epoch: 29 | Batch: 200 | Loss: 0.630 | Acc: 79.00%
146
+ 2025-03-14 19:44:23,737 - train - INFO - Epoch: 29 | Batch: 300 | Loss: 0.629 | Acc: 78.95%
147
+ 2025-03-14 19:44:28,295 - train - INFO - Epoch: 29 | Test Loss: 0.662 | Test Acc: 77.43%
148
+ 2025-03-14 19:44:28,530 - train - INFO - Epoch: 30 | Batch: 0 | Loss: 0.670 | Acc: 74.22%
149
+ 2025-03-14 19:44:31,941 - train - INFO - Epoch: 30 | Batch: 100 | Loss: 0.615 | Acc: 79.38%
150
+ 2025-03-14 19:44:35,458 - train - INFO - Epoch: 30 | Batch: 200 | Loss: 0.629 | Acc: 79.02%
151
+ 2025-03-14 19:44:38,753 - train - INFO - Epoch: 30 | Batch: 300 | Loss: 0.627 | Acc: 79.15%
152
+ 2025-03-14 19:44:43,265 - train - INFO - Epoch: 30 | Test Loss: 0.795 | Test Acc: 73.48%
153
+ 2025-03-14 19:44:56,355 - train - INFO - Epoch: 31 | Batch: 0 | Loss: 0.875 | Acc: 67.97%
154
+ 2025-03-14 19:44:59,749 - train - INFO - Epoch: 31 | Batch: 100 | Loss: 0.635 | Acc: 78.71%
155
+ 2025-03-14 19:45:03,017 - train - INFO - Epoch: 31 | Batch: 200 | Loss: 0.626 | Acc: 79.11%
156
+ 2025-03-14 19:45:06,545 - train - INFO - Epoch: 31 | Batch: 300 | Loss: 0.626 | Acc: 79.04%
157
+ 2025-03-14 19:45:11,485 - train - INFO - Epoch: 31 | Test Loss: 0.669 | Test Acc: 77.71%
158
+ 2025-03-14 19:45:11,913 - train - INFO - Epoch: 32 | Batch: 0 | Loss: 0.498 | Acc: 81.25%
159
+ 2025-03-14 19:45:15,270 - train - INFO - Epoch: 32 | Batch: 100 | Loss: 0.634 | Acc: 79.05%
160
+ 2025-03-14 19:45:18,585 - train - INFO - Epoch: 32 | Batch: 200 | Loss: 0.633 | Acc: 79.11%
161
+ 2025-03-14 19:45:21,798 - train - INFO - Epoch: 32 | Batch: 300 | Loss: 0.629 | Acc: 79.26%
162
+ 2025-03-14 19:45:26,689 - train - INFO - Epoch: 32 | Test Loss: 0.971 | Test Acc: 69.30%
163
+ 2025-03-14 19:45:39,797 - train - INFO - Epoch: 33 | Batch: 0 | Loss: 0.706 | Acc: 78.91%
164
+ 2025-03-14 19:45:43,114 - train - INFO - Epoch: 33 | Batch: 100 | Loss: 0.610 | Acc: 79.79%
165
+ 2025-03-14 19:45:46,320 - train - INFO - Epoch: 33 | Batch: 200 | Loss: 0.623 | Acc: 79.44%
166
+ 2025-03-14 19:45:49,642 - train - INFO - Epoch: 33 | Batch: 300 | Loss: 0.626 | Acc: 79.30%
167
+ 2025-03-14 19:45:54,214 - train - INFO - Epoch: 33 | Test Loss: 0.675 | Test Acc: 76.70%
168
+ 2025-03-14 19:45:54,434 - train - INFO - Epoch: 34 | Batch: 0 | Loss: 0.527 | Acc: 80.47%
169
+ 2025-03-14 19:45:57,688 - train - INFO - Epoch: 34 | Batch: 100 | Loss: 0.621 | Acc: 79.09%
170
+ 2025-03-14 19:46:00,874 - train - INFO - Epoch: 34 | Batch: 200 | Loss: 0.623 | Acc: 78.99%
171
+ 2025-03-14 19:46:04,179 - train - INFO - Epoch: 34 | Batch: 300 | Loss: 0.625 | Acc: 78.99%
172
+ 2025-03-14 19:46:08,870 - train - INFO - Epoch: 34 | Test Loss: 0.612 | Test Acc: 78.84%
173
+ 2025-03-14 19:46:21,448 - train - INFO - Epoch: 35 | Batch: 0 | Loss: 0.566 | Acc: 79.69%
174
+ 2025-03-14 19:46:24,671 - train - INFO - Epoch: 35 | Batch: 100 | Loss: 0.624 | Acc: 79.35%
175
+ 2025-03-14 19:46:27,843 - train - INFO - Epoch: 35 | Batch: 200 | Loss: 0.632 | Acc: 78.92%
176
+ 2025-03-14 19:46:31,182 - train - INFO - Epoch: 35 | Batch: 300 | Loss: 0.630 | Acc: 78.98%
177
+ 2025-03-14 19:46:35,613 - train - INFO - Epoch: 35 | Test Loss: 0.692 | Test Acc: 76.93%
178
+ 2025-03-14 19:46:35,849 - train - INFO - Epoch: 36 | Batch: 0 | Loss: 0.638 | Acc: 78.91%
179
+ 2025-03-14 19:46:39,126 - train - INFO - Epoch: 36 | Batch: 100 | Loss: 0.617 | Acc: 79.44%
180
+ 2025-03-14 19:46:42,587 - train - INFO - Epoch: 36 | Batch: 200 | Loss: 0.620 | Acc: 79.45%
181
+ 2025-03-14 19:46:45,891 - train - INFO - Epoch: 36 | Batch: 300 | Loss: 0.619 | Acc: 79.32%
182
+ 2025-03-14 19:46:50,381 - train - INFO - Epoch: 36 | Test Loss: 0.747 | Test Acc: 75.67%
183
+ 2025-03-14 19:47:04,037 - train - INFO - Epoch: 37 | Batch: 0 | Loss: 0.611 | Acc: 82.03%
184
+ 2025-03-14 19:47:07,310 - train - INFO - Epoch: 37 | Batch: 100 | Loss: 0.621 | Acc: 79.08%
185
+ 2025-03-14 19:47:10,603 - train - INFO - Epoch: 37 | Batch: 200 | Loss: 0.621 | Acc: 79.15%
186
+ 2025-03-14 19:47:13,815 - train - INFO - Epoch: 37 | Batch: 300 | Loss: 0.628 | Acc: 78.97%
187
+ 2025-03-14 19:47:18,168 - train - INFO - Epoch: 37 | Test Loss: 0.679 | Test Acc: 77.48%
188
+ 2025-03-14 19:47:18,397 - train - INFO - Epoch: 38 | Batch: 0 | Loss: 0.496 | Acc: 83.59%
189
+ 2025-03-14 19:47:21,698 - train - INFO - Epoch: 38 | Batch: 100 | Loss: 0.615 | Acc: 79.73%
190
+ 2025-03-14 19:47:24,860 - train - INFO - Epoch: 38 | Batch: 200 | Loss: 0.627 | Acc: 79.17%
191
+ 2025-03-14 19:47:28,120 - train - INFO - Epoch: 38 | Batch: 300 | Loss: 0.629 | Acc: 79.15%
192
+ 2025-03-14 19:47:32,936 - train - INFO - Epoch: 38 | Test Loss: 0.675 | Test Acc: 77.86%
193
+ 2025-03-14 19:47:45,480 - train - INFO - Epoch: 39 | Batch: 0 | Loss: 0.576 | Acc: 82.03%
194
+ 2025-03-14 19:47:48,904 - train - INFO - Epoch: 39 | Batch: 100 | Loss: 0.601 | Acc: 80.37%
195
+ 2025-03-14 19:47:52,245 - train - INFO - Epoch: 39 | Batch: 200 | Loss: 0.607 | Acc: 79.87%
196
+ 2025-03-14 19:47:55,509 - train - INFO - Epoch: 39 | Batch: 300 | Loss: 0.617 | Acc: 79.50%
197
+ 2025-03-14 19:47:59,980 - train - INFO - Epoch: 39 | Test Loss: 0.841 | Test Acc: 72.60%
198
+ 2025-03-14 19:48:00,232 - train - INFO - Epoch: 40 | Batch: 0 | Loss: 0.719 | Acc: 73.44%
199
+ 2025-03-14 19:48:03,619 - train - INFO - Epoch: 40 | Batch: 100 | Loss: 0.617 | Acc: 79.37%
200
+ 2025-03-14 19:48:06,905 - train - INFO - Epoch: 40 | Batch: 200 | Loss: 0.616 | Acc: 79.42%
201
+ 2025-03-14 19:48:10,211 - train - INFO - Epoch: 40 | Batch: 300 | Loss: 0.619 | Acc: 79.36%
202
+ 2025-03-14 19:48:14,742 - train - INFO - Epoch: 40 | Test Loss: 0.903 | Test Acc: 70.17%
203
+ 2025-03-14 19:48:26,055 - train - INFO - Epoch: 41 | Batch: 0 | Loss: 0.655 | Acc: 76.56%
204
+ 2025-03-14 19:48:29,372 - train - INFO - Epoch: 41 | Batch: 100 | Loss: 0.623 | Acc: 79.28%
205
+ 2025-03-14 19:48:32,576 - train - INFO - Epoch: 41 | Batch: 200 | Loss: 0.629 | Acc: 79.13%
206
+ 2025-03-14 19:48:35,730 - train - INFO - Epoch: 41 | Batch: 300 | Loss: 0.622 | Acc: 79.29%
207
+ 2025-03-14 19:48:40,269 - train - INFO - Epoch: 41 | Test Loss: 0.642 | Test Acc: 78.14%
208
+ 2025-03-14 19:48:40,496 - train - INFO - Epoch: 42 | Batch: 0 | Loss: 0.641 | Acc: 75.00%
209
+ 2025-03-14 19:48:43,861 - train - INFO - Epoch: 42 | Batch: 100 | Loss: 0.619 | Acc: 79.66%
210
+ 2025-03-14 19:48:47,144 - train - INFO - Epoch: 42 | Batch: 200 | Loss: 0.622 | Acc: 79.31%
211
+ 2025-03-14 19:48:50,452 - train - INFO - Epoch: 42 | Batch: 300 | Loss: 0.617 | Acc: 79.36%
212
+ 2025-03-14 19:48:54,827 - train - INFO - Epoch: 42 | Test Loss: 0.738 | Test Acc: 75.93%
213
+ 2025-03-14 19:49:08,190 - train - INFO - Epoch: 43 | Batch: 0 | Loss: 0.778 | Acc: 73.44%
214
+ 2025-03-14 19:49:11,436 - train - INFO - Epoch: 43 | Batch: 100 | Loss: 0.615 | Acc: 79.61%
215
+ 2025-03-14 19:49:14,877 - train - INFO - Epoch: 43 | Batch: 200 | Loss: 0.629 | Acc: 79.07%
216
+ 2025-03-14 19:49:18,484 - train - INFO - Epoch: 43 | Batch: 300 | Loss: 0.632 | Acc: 79.07%
217
+ 2025-03-14 19:49:23,712 - train - INFO - Epoch: 43 | Test Loss: 0.742 | Test Acc: 74.57%
218
+ 2025-03-14 19:49:24,095 - train - INFO - Epoch: 44 | Batch: 0 | Loss: 0.696 | Acc: 76.56%
219
+ 2025-03-14 19:49:27,757 - train - INFO - Epoch: 44 | Batch: 100 | Loss: 0.610 | Acc: 79.96%
220
+ 2025-03-14 19:49:31,662 - train - INFO - Epoch: 44 | Batch: 200 | Loss: 0.618 | Acc: 79.48%
221
+ 2025-03-14 19:49:35,009 - train - INFO - Epoch: 44 | Batch: 300 | Loss: 0.612 | Acc: 79.62%
222
+ 2025-03-14 19:49:40,690 - train - INFO - Epoch: 44 | Test Loss: 0.732 | Test Acc: 75.86%
223
+ 2025-03-14 19:49:52,938 - train - INFO - Epoch: 45 | Batch: 0 | Loss: 0.652 | Acc: 82.81%
224
+ 2025-03-14 19:49:56,098 - train - INFO - Epoch: 45 | Batch: 100 | Loss: 0.594 | Acc: 80.00%
225
+ 2025-03-14 19:49:59,270 - train - INFO - Epoch: 45 | Batch: 200 | Loss: 0.600 | Acc: 80.04%
226
+ 2025-03-14 19:50:02,349 - train - INFO - Epoch: 45 | Batch: 300 | Loss: 0.602 | Acc: 79.92%
227
+ 2025-03-14 19:50:06,606 - train - INFO - Epoch: 45 | Test Loss: 0.749 | Test Acc: 75.20%
228
+ 2025-03-14 19:50:06,830 - train - INFO - Epoch: 46 | Batch: 0 | Loss: 0.594 | Acc: 81.25%
229
+ 2025-03-14 19:50:10,214 - train - INFO - Epoch: 46 | Batch: 100 | Loss: 0.605 | Acc: 79.89%
230
+ 2025-03-14 19:50:13,272 - train - INFO - Epoch: 46 | Batch: 200 | Loss: 0.606 | Acc: 79.82%
231
+ 2025-03-14 19:50:16,267 - train - INFO - Epoch: 46 | Batch: 300 | Loss: 0.612 | Acc: 79.63%
232
+ 2025-03-14 19:50:20,607 - train - INFO - Epoch: 46 | Test Loss: 0.707 | Test Acc: 76.63%
233
+ 2025-03-14 19:50:33,662 - train - INFO - Epoch: 47 | Batch: 0 | Loss: 0.488 | Acc: 83.59%
234
+ 2025-03-14 19:50:36,860 - train - INFO - Epoch: 47 | Batch: 100 | Loss: 0.591 | Acc: 80.45%
235
+ 2025-03-14 19:50:40,064 - train - INFO - Epoch: 47 | Batch: 200 | Loss: 0.611 | Acc: 79.72%
236
+ 2025-03-14 19:50:43,830 - train - INFO - Epoch: 47 | Batch: 300 | Loss: 0.615 | Acc: 79.63%
237
+ 2025-03-14 19:50:48,236 - train - INFO - Epoch: 47 | Test Loss: 0.612 | Test Acc: 79.22%
238
+ 2025-03-14 19:50:48,460 - train - INFO - Epoch: 48 | Batch: 0 | Loss: 0.729 | Acc: 74.22%
239
+ 2025-03-14 19:50:51,645 - train - INFO - Epoch: 48 | Batch: 100 | Loss: 0.606 | Acc: 79.83%
240
+ 2025-03-14 19:50:54,950 - train - INFO - Epoch: 48 | Batch: 200 | Loss: 0.616 | Acc: 79.28%
241
+ 2025-03-14 19:50:58,523 - train - INFO - Epoch: 48 | Batch: 300 | Loss: 0.614 | Acc: 79.36%
242
+ 2025-03-14 19:51:03,209 - train - INFO - Epoch: 48 | Test Loss: 0.925 | Test Acc: 71.88%
243
+ 2025-03-14 19:51:16,408 - train - INFO - Epoch: 49 | Batch: 0 | Loss: 0.598 | Acc: 82.03%
244
+ 2025-03-14 19:51:19,486 - train - INFO - Epoch: 49 | Batch: 100 | Loss: 0.616 | Acc: 79.12%
245
+ 2025-03-14 19:51:22,803 - train - INFO - Epoch: 49 | Batch: 200 | Loss: 0.615 | Acc: 79.30%
246
+ 2025-03-14 19:51:26,002 - train - INFO - Epoch: 49 | Batch: 300 | Loss: 0.612 | Acc: 79.47%
247
+ 2025-03-14 19:51:30,321 - train - INFO - Epoch: 49 | Test Loss: 0.750 | Test Acc: 75.08%
248
+ 2025-03-14 19:51:30,550 - train - INFO - Epoch: 50 | Batch: 0 | Loss: 0.558 | Acc: 82.03%
249
+ 2025-03-14 19:51:33,757 - train - INFO - Epoch: 50 | Batch: 100 | Loss: 0.583 | Acc: 80.69%
250
+ 2025-03-14 19:51:36,928 - train - INFO - Epoch: 50 | Batch: 200 | Loss: 0.595 | Acc: 80.07%
251
+ 2025-03-14 19:51:40,116 - train - INFO - Epoch: 50 | Batch: 300 | Loss: 0.608 | Acc: 79.64%
252
+ 2025-03-14 19:51:44,713 - train - INFO - Epoch: 50 | Test Loss: 0.711 | Test Acc: 76.34%
253
+ 2025-03-14 19:51:56,482 - train - INFO - 训练完成!
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