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code-philia
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mtpnet_image_models

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1 Parent(s): 5477b78

mobelv1 02

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  1. Image/MobileNetv1/code/backdoor_train.log +253 -0
  2. Image/MobileNetv1/code/train.log +253 -0
  3. Image/MobileNetv1/code/train.py +2 -2
  4. Image/MobileNetv1/model/0/epoch1/embeddings.npy +3 -0
  5. Image/MobileNetv1/model/0/epoch1/subject_model.pth +3 -0
  6. Image/MobileNetv1/model/0/epoch10/embeddings.npy +3 -0
  7. Image/MobileNetv1/model/0/epoch10/subject_model.pth +3 -0
  8. Image/MobileNetv1/model/0/epoch11/embeddings.npy +3 -0
  9. Image/MobileNetv1/model/0/epoch11/subject_model.pth +3 -0
  10. Image/MobileNetv1/model/0/epoch12/embeddings.npy +3 -0
  11. Image/MobileNetv1/model/0/epoch12/subject_model.pth +3 -0
  12. Image/MobileNetv1/model/0/epoch13/embeddings.npy +3 -0
  13. Image/MobileNetv1/model/0/epoch13/subject_model.pth +3 -0
  14. Image/MobileNetv1/model/0/epoch14/embeddings.npy +3 -0
  15. Image/MobileNetv1/model/0/epoch14/subject_model.pth +3 -0
  16. Image/MobileNetv1/model/0/epoch15/embeddings.npy +3 -0
  17. Image/MobileNetv1/model/0/epoch15/subject_model.pth +3 -0
  18. Image/MobileNetv1/model/0/epoch16/embeddings.npy +3 -0
  19. Image/MobileNetv1/model/0/epoch16/subject_model.pth +3 -0
  20. Image/MobileNetv1/model/0/epoch17/embeddings.npy +3 -0
  21. Image/MobileNetv1/model/0/epoch17/subject_model.pth +3 -0
  22. Image/MobileNetv1/model/0/epoch18/embeddings.npy +3 -0
  23. Image/MobileNetv1/model/0/epoch18/subject_model.pth +3 -0
  24. Image/MobileNetv1/model/0/epoch19/embeddings.npy +3 -0
  25. Image/MobileNetv1/model/0/epoch19/subject_model.pth +3 -0
  26. Image/MobileNetv1/model/0/epoch2/embeddings.npy +3 -0
  27. Image/MobileNetv1/model/0/epoch2/subject_model.pth +3 -0
  28. Image/MobileNetv1/model/0/epoch20/embeddings.npy +3 -0
  29. Image/MobileNetv1/model/0/epoch20/subject_model.pth +3 -0
  30. Image/MobileNetv1/model/0/epoch21/embeddings.npy +3 -0
  31. Image/MobileNetv1/model/0/epoch21/subject_model.pth +3 -0
  32. Image/MobileNetv1/model/0/epoch22/embeddings.npy +3 -0
  33. Image/MobileNetv1/model/0/epoch22/subject_model.pth +3 -0
  34. Image/MobileNetv1/model/0/epoch23/embeddings.npy +3 -0
  35. Image/MobileNetv1/model/0/epoch23/subject_model.pth +3 -0
  36. Image/MobileNetv1/model/0/epoch24/embeddings.npy +3 -0
  37. Image/MobileNetv1/model/0/epoch24/subject_model.pth +3 -0
  38. Image/MobileNetv1/model/0/epoch25/embeddings.npy +3 -0
  39. Image/MobileNetv1/model/0/epoch25/subject_model.pth +3 -0
  40. Image/MobileNetv1/model/0/epoch3/embeddings.npy +3 -0
  41. Image/MobileNetv1/model/0/epoch3/subject_model.pth +3 -0
  42. Image/MobileNetv1/model/0/epoch4/embeddings.npy +3 -0
  43. Image/MobileNetv1/model/0/epoch4/subject_model.pth +3 -0
  44. Image/MobileNetv1/model/0/epoch5/embeddings.npy +3 -0
  45. Image/MobileNetv1/model/0/epoch5/subject_model.pth +3 -0
  46. Image/MobileNetv1/model/0/epoch6/embeddings.npy +3 -0
  47. Image/MobileNetv1/model/0/epoch6/subject_model.pth +3 -0
  48. Image/MobileNetv1/model/0/epoch7/embeddings.npy +3 -0
  49. Image/MobileNetv1/model/0/epoch7/subject_model.pth +3 -0
  50. Image/MobileNetv1/model/0/epoch8/embeddings.npy +3 -0
Image/MobileNetv1/code/backdoor_train.log ADDED
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1
+ 2025-03-14 19:09:54,932 - train - INFO - 开始训练 mobilenetv1
2
+ 2025-03-14 19:09:54,933 - train - INFO - 总轮数: 50, 学习率: 0.1, 设备: cuda:3
3
+ 2025-03-14 19:09:55,720 - train - INFO - Epoch: 1 | Batch: 0 | Loss: 2.287 | Acc: 14.84%
4
+ 2025-03-14 19:09:58,172 - train - INFO - Epoch: 1 | Batch: 100 | Loss: 2.247 | Acc: 22.06%
5
+ 2025-03-14 19:10:00,409 - train - INFO - Epoch: 1 | Batch: 200 | Loss: 2.019 | Acc: 27.43%
6
+ 2025-03-14 19:10:02,629 - train - INFO - Epoch: 1 | Batch: 300 | Loss: 1.917 | Acc: 30.28%
7
+ 2025-03-14 19:10:06,210 - train - INFO - Epoch: 1 | Test Loss: 1.615 | Test Acc: 40.02%
8
+ 2025-03-14 19:10:06,614 - train - INFO - Epoch: 2 | Batch: 0 | Loss: 1.759 | Acc: 34.38%
9
+ 2025-03-14 19:10:08,951 - train - INFO - Epoch: 2 | Batch: 100 | Loss: 1.579 | Acc: 42.30%
10
+ 2025-03-14 19:10:11,186 - train - INFO - Epoch: 2 | Batch: 200 | Loss: 1.559 | Acc: 43.21%
11
+ 2025-03-14 19:10:13,281 - train - INFO - Epoch: 2 | Batch: 300 | Loss: 1.532 | Acc: 44.51%
12
+ 2025-03-14 19:10:16,823 - train - INFO - Epoch: 2 | Test Loss: 1.292 | Test Acc: 56.03%
13
+ 2025-03-14 19:10:27,914 - train - INFO - Epoch: 3 | Batch: 0 | Loss: 1.315 | Acc: 57.81%
14
+ 2025-03-14 19:10:30,248 - train - INFO - Epoch: 3 | Batch: 100 | Loss: 1.355 | Acc: 51.59%
15
+ 2025-03-14 19:10:32,468 - train - INFO - Epoch: 3 | Batch: 200 | Loss: 1.337 | Acc: 52.43%
16
+ 2025-03-14 19:10:34,818 - train - INFO - Epoch: 3 | Batch: 300 | Loss: 1.315 | Acc: 53.14%
17
+ 2025-03-14 19:10:38,558 - train - INFO - Epoch: 3 | Test Loss: 1.169 | Test Acc: 61.16%
18
+ 2025-03-14 19:10:38,776 - train - INFO - Epoch: 4 | Batch: 0 | Loss: 1.152 | Acc: 60.16%
19
+ 2025-03-14 19:10:41,135 - train - INFO - Epoch: 4 | Batch: 100 | Loss: 1.196 | Acc: 57.92%
20
+ 2025-03-14 19:10:43,449 - train - INFO - Epoch: 4 | Batch: 200 | Loss: 1.197 | Acc: 57.73%
21
+ 2025-03-14 19:10:45,787 - train - INFO - Epoch: 4 | Batch: 300 | Loss: 1.185 | Acc: 58.38%
22
+ 2025-03-14 19:10:49,233 - train - INFO - Epoch: 4 | Test Loss: 1.204 | Test Acc: 58.96%
23
+ 2025-03-14 19:11:03,693 - train - INFO - Epoch: 5 | Batch: 0 | Loss: 1.159 | Acc: 57.03%
24
+ 2025-03-14 19:11:05,965 - train - INFO - Epoch: 5 | Batch: 100 | Loss: 1.054 | Acc: 63.81%
25
+ 2025-03-14 19:11:08,112 - train - INFO - Epoch: 5 | Batch: 200 | Loss: 1.034 | Acc: 64.64%
26
+ 2025-03-14 19:11:10,338 - train - INFO - Epoch: 5 | Batch: 300 | Loss: 1.015 | Acc: 65.28%
27
+ 2025-03-14 19:11:13,934 - train - INFO - Epoch: 5 | Test Loss: 1.095 | Test Acc: 62.68%
28
+ 2025-03-14 19:11:14,109 - train - INFO - Epoch: 6 | Batch: 0 | Loss: 0.886 | Acc: 67.97%
29
+ 2025-03-14 19:11:16,464 - train - INFO - Epoch: 6 | Batch: 100 | Loss: 0.905 | Acc: 68.84%
30
+ 2025-03-14 19:11:18,737 - train - INFO - Epoch: 6 | Batch: 200 | Loss: 0.907 | Acc: 68.79%
31
+ 2025-03-14 19:11:20,976 - train - INFO - Epoch: 6 | Batch: 300 | Loss: 0.896 | Acc: 69.40%
32
+ 2025-03-14 19:11:24,630 - train - INFO - Epoch: 6 | Test Loss: 0.870 | Test Acc: 70.20%
33
+ 2025-03-14 19:11:37,406 - train - INFO - Epoch: 7 | Batch: 0 | Loss: 0.750 | Acc: 75.78%
34
+ 2025-03-14 19:11:39,909 - train - INFO - Epoch: 7 | Batch: 100 | Loss: 0.837 | Acc: 71.81%
35
+ 2025-03-14 19:11:42,748 - train - INFO - Epoch: 7 | Batch: 200 | Loss: 0.830 | Acc: 72.01%
36
+ 2025-03-14 19:11:45,073 - train - INFO - Epoch: 7 | Batch: 300 | Loss: 0.832 | Acc: 72.02%
37
+ 2025-03-14 19:11:48,754 - train - INFO - Epoch: 7 | Test Loss: 1.018 | Test Acc: 66.08%
38
+ 2025-03-14 19:11:48,979 - train - INFO - Epoch: 8 | Batch: 0 | Loss: 0.791 | Acc: 76.56%
39
+ 2025-03-14 19:11:51,445 - train - INFO - Epoch: 8 | Batch: 100 | Loss: 0.814 | Acc: 72.74%
40
+ 2025-03-14 19:11:53,792 - train - INFO - Epoch: 8 | Batch: 200 | Loss: 0.802 | Acc: 73.14%
41
+ 2025-03-14 19:11:56,185 - train - INFO - Epoch: 8 | Batch: 300 | Loss: 0.798 | Acc: 73.27%
42
+ 2025-03-14 19:11:59,650 - train - INFO - Epoch: 8 | Test Loss: 1.564 | Test Acc: 51.84%
43
+ 2025-03-14 19:12:20,707 - train - INFO - Epoch: 9 | Batch: 0 | Loss: 0.873 | Acc: 70.31%
44
+ 2025-03-14 19:12:23,001 - train - INFO - Epoch: 9 | Batch: 100 | Loss: 0.795 | Acc: 73.68%
45
+ 2025-03-14 19:12:25,349 - train - INFO - Epoch: 9 | Batch: 200 | Loss: 0.782 | Acc: 74.05%
46
+ 2025-03-14 19:12:27,898 - train - INFO - Epoch: 9 | Batch: 300 | Loss: 0.778 | Acc: 74.33%
47
+ 2025-03-14 19:12:31,642 - train - INFO - Epoch: 9 | Test Loss: 0.997 | Test Acc: 67.90%
48
+ 2025-03-14 19:12:31,831 - train - INFO - Epoch: 10 | Batch: 0 | Loss: 0.761 | Acc: 72.66%
49
+ 2025-03-14 19:12:34,141 - train - INFO - Epoch: 10 | Batch: 100 | Loss: 0.760 | Acc: 74.59%
50
+ 2025-03-14 19:12:36,393 - train - INFO - Epoch: 10 | Batch: 200 | Loss: 0.768 | Acc: 74.46%
51
+ 2025-03-14 19:12:38,757 - train - INFO - Epoch: 10 | Batch: 300 | Loss: 0.759 | Acc: 74.91%
52
+ 2025-03-14 19:12:42,378 - train - INFO - Epoch: 10 | Test Loss: 0.829 | Test Acc: 71.79%
53
+ 2025-03-14 19:12:54,320 - train - INFO - Epoch: 11 | Batch: 0 | Loss: 0.830 | Acc: 74.22%
54
+ 2025-03-14 19:12:56,767 - train - INFO - Epoch: 11 | Batch: 100 | Loss: 0.755 | Acc: 74.98%
55
+ 2025-03-14 19:12:59,227 - train - INFO - Epoch: 11 | Batch: 200 | Loss: 0.750 | Acc: 75.11%
56
+ 2025-03-14 19:13:01,494 - train - INFO - Epoch: 11 | Batch: 300 | Loss: 0.747 | Acc: 75.20%
57
+ 2025-03-14 19:13:05,433 - train - INFO - Epoch: 11 | Test Loss: 0.930 | Test Acc: 68.93%
58
+ 2025-03-14 19:13:05,678 - train - INFO - Epoch: 12 | Batch: 0 | Loss: 0.874 | Acc: 71.09%
59
+ 2025-03-14 19:13:08,001 - train - INFO - Epoch: 12 | Batch: 100 | Loss: 0.735 | Acc: 75.70%
60
+ 2025-03-14 19:13:10,287 - train - INFO - Epoch: 12 | Batch: 200 | Loss: 0.739 | Acc: 75.56%
61
+ 2025-03-14 19:13:12,549 - train - INFO - Epoch: 12 | Batch: 300 | Loss: 0.740 | Acc: 75.46%
62
+ 2025-03-14 19:13:16,175 - train - INFO - Epoch: 12 | Test Loss: 0.810 | Test Acc: 73.19%
63
+ 2025-03-14 19:13:31,855 - train - INFO - Epoch: 13 | Batch: 0 | Loss: 0.576 | Acc: 78.12%
64
+ 2025-03-14 19:13:34,421 - train - INFO - Epoch: 13 | Batch: 100 | Loss: 0.723 | Acc: 76.30%
65
+ 2025-03-14 19:13:37,400 - train - INFO - Epoch: 13 | Batch: 200 | Loss: 0.739 | Acc: 75.64%
66
+ 2025-03-14 19:13:40,123 - train - INFO - Epoch: 13 | Batch: 300 | Loss: 0.747 | Acc: 75.36%
67
+ 2025-03-14 19:13:44,947 - train - INFO - Epoch: 13 | Test Loss: 0.765 | Test Acc: 74.70%
68
+ 2025-03-14 19:13:45,257 - train - INFO - Epoch: 14 | Batch: 0 | Loss: 0.848 | Acc: 71.88%
69
+ 2025-03-14 19:13:47,794 - train - INFO - Epoch: 14 | Batch: 100 | Loss: 0.730 | Acc: 75.41%
70
+ 2025-03-14 19:13:50,315 - train - INFO - Epoch: 14 | Batch: 200 | Loss: 0.742 | Acc: 74.98%
71
+ 2025-03-14 19:13:53,154 - train - INFO - Epoch: 14 | Batch: 300 | Loss: 0.736 | Acc: 75.30%
72
+ 2025-03-14 19:13:57,281 - train - INFO - Epoch: 14 | Test Loss: 0.931 | Test Acc: 69.03%
73
+ 2025-03-14 19:14:11,225 - train - INFO - Epoch: 15 | Batch: 0 | Loss: 0.787 | Acc: 71.88%
74
+ 2025-03-14 19:14:13,683 - train - INFO - Epoch: 15 | Batch: 100 | Loss: 0.730 | Acc: 76.38%
75
+ 2025-03-14 19:14:16,179 - train - INFO - Epoch: 15 | Batch: 200 | Loss: 0.734 | Acc: 75.68%
76
+ 2025-03-14 19:14:18,546 - train - INFO - Epoch: 15 | Batch: 300 | Loss: 0.733 | Acc: 75.61%
77
+ 2025-03-14 19:14:22,390 - train - INFO - Epoch: 15 | Test Loss: 0.856 | Test Acc: 71.84%
78
+ 2025-03-14 19:14:22,639 - train - INFO - Epoch: 16 | Batch: 0 | Loss: 0.737 | Acc: 76.56%
79
+ 2025-03-14 19:14:25,041 - train - INFO - Epoch: 16 | Batch: 100 | Loss: 0.735 | Acc: 75.31%
80
+ 2025-03-14 19:14:27,479 - train - INFO - Epoch: 16 | Batch: 200 | Loss: 0.726 | Acc: 75.86%
81
+ 2025-03-14 19:14:29,797 - train - INFO - Epoch: 16 | Batch: 300 | Loss: 0.721 | Acc: 76.03%
82
+ 2025-03-14 19:14:33,561 - train - INFO - Epoch: 16 | Test Loss: 0.819 | Test Acc: 71.39%
83
+ 2025-03-14 19:14:46,423 - train - INFO - Epoch: 17 | Batch: 0 | Loss: 0.614 | Acc: 75.78%
84
+ 2025-03-14 19:14:48,596 - train - INFO - Epoch: 17 | Batch: 100 | Loss: 0.709 | Acc: 76.53%
85
+ 2025-03-14 19:14:50,945 - train - INFO - Epoch: 17 | Batch: 200 | Loss: 0.715 | Acc: 76.33%
86
+ 2025-03-14 19:14:53,181 - train - INFO - Epoch: 17 | Batch: 300 | Loss: 0.717 | Acc: 76.32%
87
+ 2025-03-14 19:14:56,940 - train - INFO - Epoch: 17 | Test Loss: 0.954 | Test Acc: 68.53%
88
+ 2025-03-14 19:14:57,178 - train - INFO - Epoch: 18 | Batch: 0 | Loss: 0.913 | Acc: 68.75%
89
+ 2025-03-14 19:14:59,356 - train - INFO - Epoch: 18 | Batch: 100 | Loss: 0.721 | Acc: 76.18%
90
+ 2025-03-14 19:15:01,720 - train - INFO - Epoch: 18 | Batch: 200 | Loss: 0.720 | Acc: 76.11%
91
+ 2025-03-14 19:15:04,039 - train - INFO - Epoch: 18 | Batch: 300 | Loss: 0.715 | Acc: 76.38%
92
+ 2025-03-14 19:15:07,794 - train - INFO - Epoch: 18 | Test Loss: 0.789 | Test Acc: 74.30%
93
+ 2025-03-14 19:15:22,986 - train - INFO - Epoch: 19 | Batch: 0 | Loss: 0.667 | Acc: 78.91%
94
+ 2025-03-14 19:15:25,226 - train - INFO - Epoch: 19 | Batch: 100 | Loss: 0.687 | Acc: 77.36%
95
+ 2025-03-14 19:15:27,499 - train - INFO - Epoch: 19 | Batch: 200 | Loss: 0.704 | Acc: 76.83%
96
+ 2025-03-14 19:15:29,768 - train - INFO - Epoch: 19 | Batch: 300 | Loss: 0.704 | Acc: 76.66%
97
+ 2025-03-14 19:15:33,389 - train - INFO - Epoch: 19 | Test Loss: 0.824 | Test Acc: 72.96%
98
+ 2025-03-14 19:15:33,636 - train - INFO - Epoch: 20 | Batch: 0 | Loss: 0.968 | Acc: 71.09%
99
+ 2025-03-14 19:15:35,904 - train - INFO - Epoch: 20 | Batch: 100 | Loss: 0.699 | Acc: 77.06%
100
+ 2025-03-14 19:15:38,257 - train - INFO - Epoch: 20 | Batch: 200 | Loss: 0.688 | Acc: 77.30%
101
+ 2025-03-14 19:15:40,549 - train - INFO - Epoch: 20 | Batch: 300 | Loss: 0.696 | Acc: 76.91%
102
+ 2025-03-14 19:15:44,675 - train - INFO - Epoch: 20 | Test Loss: 0.836 | Test Acc: 71.67%
103
+ 2025-03-14 19:15:57,342 - train - INFO - Epoch: 21 | Batch: 0 | Loss: 0.696 | Acc: 76.56%
104
+ 2025-03-14 19:15:59,612 - train - INFO - Epoch: 21 | Batch: 100 | Loss: 0.693 | Acc: 76.96%
105
+ 2025-03-14 19:16:01,819 - train - INFO - Epoch: 21 | Batch: 200 | Loss: 0.703 | Acc: 76.73%
106
+ 2025-03-14 19:16:03,948 - train - INFO - Epoch: 21 | Batch: 300 | Loss: 0.703 | Acc: 76.70%
107
+ 2025-03-14 19:16:07,620 - train - INFO - Epoch: 21 | Test Loss: 1.056 | Test Acc: 65.78%
108
+ 2025-03-14 19:16:07,894 - train - INFO - Epoch: 22 | Batch: 0 | Loss: 0.583 | Acc: 82.81%
109
+ 2025-03-14 19:16:10,453 - train - INFO - Epoch: 22 | Batch: 100 | Loss: 0.667 | Acc: 77.94%
110
+ 2025-03-14 19:16:13,181 - train - INFO - Epoch: 22 | Batch: 200 | Loss: 0.679 | Acc: 77.41%
111
+ 2025-03-14 19:16:15,606 - train - INFO - Epoch: 22 | Batch: 300 | Loss: 0.687 | Acc: 77.18%
112
+ 2025-03-14 19:16:19,360 - train - INFO - Epoch: 22 | Test Loss: 0.966 | Test Acc: 68.80%
113
+ 2025-03-14 19:16:35,332 - train - INFO - Epoch: 23 | Batch: 0 | Loss: 0.798 | Acc: 75.78%
114
+ 2025-03-14 19:16:38,153 - train - INFO - Epoch: 23 | Batch: 100 | Loss: 0.688 | Acc: 76.77%
115
+ 2025-03-14 19:16:41,959 - train - INFO - Epoch: 23 | Batch: 200 | Loss: 0.687 | Acc: 76.87%
116
+ 2025-03-14 19:16:44,470 - train - INFO - Epoch: 23 | Batch: 300 | Loss: 0.701 | Acc: 76.52%
117
+ 2025-03-14 19:16:48,354 - train - INFO - Epoch: 23 | Test Loss: 0.811 | Test Acc: 72.64%
118
+ 2025-03-14 19:16:48,619 - train - INFO - Epoch: 24 | Batch: 0 | Loss: 0.537 | Acc: 81.25%
119
+ 2025-03-14 19:16:50,852 - train - INFO - Epoch: 24 | Batch: 100 | Loss: 0.677 | Acc: 77.72%
120
+ 2025-03-14 19:16:53,012 - train - INFO - Epoch: 24 | Batch: 200 | Loss: 0.688 | Acc: 77.31%
121
+ 2025-03-14 19:16:55,183 - train - INFO - Epoch: 24 | Batch: 300 | Loss: 0.694 | Acc: 77.04%
122
+ 2025-03-14 19:16:58,919 - train - INFO - Epoch: 24 | Test Loss: 1.168 | Test Acc: 62.89%
123
+ 2025-03-14 19:17:12,298 - train - INFO - Epoch: 25 | Batch: 0 | Loss: 0.635 | Acc: 78.91%
124
+ 2025-03-14 19:17:14,676 - train - INFO - Epoch: 25 | Batch: 100 | Loss: 0.699 | Acc: 76.91%
125
+ 2025-03-14 19:17:17,038 - train - INFO - Epoch: 25 | Batch: 200 | Loss: 0.704 | Acc: 76.61%
126
+ 2025-03-14 19:17:19,291 - train - INFO - Epoch: 25 | Batch: 300 | Loss: 0.701 | Acc: 76.74%
127
+ 2025-03-14 19:17:22,782 - train - INFO - Epoch: 25 | Test Loss: 0.900 | Test Acc: 70.88%
128
+ 2025-03-14 19:17:23,024 - train - INFO - Epoch: 26 | Batch: 0 | Loss: 0.771 | Acc: 78.91%
129
+ 2025-03-14 19:17:25,266 - train - INFO - Epoch: 26 | Batch: 100 | Loss: 0.689 | Acc: 77.17%
130
+ 2025-03-14 19:17:27,505 - train - INFO - Epoch: 26 | Batch: 200 | Loss: 0.686 | Acc: 77.43%
131
+ 2025-03-14 19:17:29,738 - train - INFO - Epoch: 26 | Batch: 300 | Loss: 0.681 | Acc: 77.55%
132
+ 2025-03-14 19:17:33,357 - train - INFO - Epoch: 26 | Test Loss: 0.887 | Test Acc: 69.41%
133
+ 2025-03-14 19:17:47,729 - train - INFO - Epoch: 27 | Batch: 0 | Loss: 0.935 | Acc: 67.97%
134
+ 2025-03-14 19:17:50,012 - train - INFO - Epoch: 27 | Batch: 100 | Loss: 0.695 | Acc: 77.04%
135
+ 2025-03-14 19:17:52,314 - train - INFO - Epoch: 27 | Batch: 200 | Loss: 0.691 | Acc: 77.09%
136
+ 2025-03-14 19:17:54,513 - train - INFO - Epoch: 27 | Batch: 300 | Loss: 0.687 | Acc: 77.22%
137
+ 2025-03-14 19:17:58,204 - train - INFO - Epoch: 27 | Test Loss: 0.839 | Test Acc: 71.77%
138
+ 2025-03-14 19:17:58,457 - train - INFO - Epoch: 28 | Batch: 0 | Loss: 0.611 | Acc: 77.34%
139
+ 2025-03-14 19:18:01,634 - train - INFO - Epoch: 28 | Batch: 100 | Loss: 0.684 | Acc: 77.61%
140
+ 2025-03-14 19:18:04,239 - train - INFO - Epoch: 28 | Batch: 200 | Loss: 0.687 | Acc: 77.29%
141
+ 2025-03-14 19:18:06,548 - train - INFO - Epoch: 28 | Batch: 300 | Loss: 0.683 | Acc: 77.63%
142
+ 2025-03-14 19:18:10,199 - train - INFO - Epoch: 28 | Test Loss: 0.878 | Test Acc: 72.20%
143
+ 2025-03-14 19:18:22,831 - train - INFO - Epoch: 29 | Batch: 0 | Loss: 0.727 | Acc: 75.78%
144
+ 2025-03-14 19:18:25,111 - train - INFO - Epoch: 29 | Batch: 100 | Loss: 0.653 | Acc: 78.39%
145
+ 2025-03-14 19:18:27,317 - train - INFO - Epoch: 29 | Batch: 200 | Loss: 0.670 | Acc: 77.74%
146
+ 2025-03-14 19:18:29,531 - train - INFO - Epoch: 29 | Batch: 300 | Loss: 0.674 | Acc: 77.64%
147
+ 2025-03-14 19:18:32,945 - train - INFO - Epoch: 29 | Test Loss: 0.713 | Test Acc: 75.58%
148
+ 2025-03-14 19:18:33,192 - train - INFO - Epoch: 30 | Batch: 0 | Loss: 0.707 | Acc: 75.78%
149
+ 2025-03-14 19:18:35,432 - train - INFO - Epoch: 30 | Batch: 100 | Loss: 0.668 | Acc: 77.89%
150
+ 2025-03-14 19:18:37,646 - train - INFO - Epoch: 30 | Batch: 200 | Loss: 0.676 | Acc: 77.69%
151
+ 2025-03-14 19:18:39,890 - train - INFO - Epoch: 30 | Batch: 300 | Loss: 0.678 | Acc: 77.52%
152
+ 2025-03-14 19:18:43,361 - train - INFO - Epoch: 30 | Test Loss: 0.910 | Test Acc: 70.57%
153
+ 2025-03-14 19:18:56,375 - train - INFO - Epoch: 31 | Batch: 0 | Loss: 0.672 | Acc: 75.00%
154
+ 2025-03-14 19:18:58,633 - train - INFO - Epoch: 31 | Batch: 100 | Loss: 0.678 | Acc: 77.97%
155
+ 2025-03-14 19:19:00,903 - train - INFO - Epoch: 31 | Batch: 200 | Loss: 0.674 | Acc: 77.78%
156
+ 2025-03-14 19:19:03,229 - train - INFO - Epoch: 31 | Batch: 300 | Loss: 0.676 | Acc: 77.57%
157
+ 2025-03-14 19:19:06,827 - train - INFO - Epoch: 31 | Test Loss: 0.711 | Test Acc: 76.07%
158
+ 2025-03-14 19:19:07,048 - train - INFO - Epoch: 32 | Batch: 0 | Loss: 0.726 | Acc: 75.78%
159
+ 2025-03-14 19:19:09,285 - train - INFO - Epoch: 32 | Batch: 100 | Loss: 0.674 | Acc: 77.79%
160
+ 2025-03-14 19:19:11,605 - train - INFO - Epoch: 32 | Batch: 200 | Loss: 0.674 | Acc: 77.73%
161
+ 2025-03-14 19:19:14,191 - train - INFO - Epoch: 32 | Batch: 300 | Loss: 0.674 | Acc: 77.61%
162
+ 2025-03-14 19:19:17,846 - train - INFO - Epoch: 32 | Test Loss: 0.804 | Test Acc: 73.06%
163
+ 2025-03-14 19:19:32,515 - train - INFO - Epoch: 33 | Batch: 0 | Loss: 0.587 | Acc: 81.25%
164
+ 2025-03-14 19:19:34,852 - train - INFO - Epoch: 33 | Batch: 100 | Loss: 0.667 | Acc: 78.10%
165
+ 2025-03-14 19:19:37,018 - train - INFO - Epoch: 33 | Batch: 200 | Loss: 0.678 | Acc: 77.65%
166
+ 2025-03-14 19:19:39,265 - train - INFO - Epoch: 33 | Batch: 300 | Loss: 0.672 | Acc: 77.90%
167
+ 2025-03-14 19:19:43,032 - train - INFO - Epoch: 33 | Test Loss: 0.826 | Test Acc: 72.40%
168
+ 2025-03-14 19:19:43,270 - train - INFO - Epoch: 34 | Batch: 0 | Loss: 0.642 | Acc: 77.34%
169
+ 2025-03-14 19:19:45,527 - train - INFO - Epoch: 34 | Batch: 100 | Loss: 0.669 | Acc: 78.19%
170
+ 2025-03-14 19:19:47,866 - train - INFO - Epoch: 34 | Batch: 200 | Loss: 0.678 | Acc: 77.76%
171
+ 2025-03-14 19:19:50,287 - train - INFO - Epoch: 34 | Batch: 300 | Loss: 0.670 | Acc: 77.87%
172
+ 2025-03-14 19:19:53,948 - train - INFO - Epoch: 34 | Test Loss: 0.979 | Test Acc: 68.46%
173
+ 2025-03-14 19:20:06,941 - train - INFO - Epoch: 35 | Batch: 0 | Loss: 0.587 | Acc: 82.03%
174
+ 2025-03-14 19:20:09,207 - train - INFO - Epoch: 35 | Batch: 100 | Loss: 0.667 | Acc: 78.11%
175
+ 2025-03-14 19:20:11,427 - train - INFO - Epoch: 35 | Batch: 200 | Loss: 0.680 | Acc: 77.64%
176
+ 2025-03-14 19:20:13,889 - train - INFO - Epoch: 35 | Batch: 300 | Loss: 0.675 | Acc: 77.67%
177
+ 2025-03-14 19:20:17,710 - train - INFO - Epoch: 35 | Test Loss: 0.681 | Test Acc: 77.46%
178
+ 2025-03-14 19:20:17,961 - train - INFO - Epoch: 36 | Batch: 0 | Loss: 0.571 | Acc: 83.59%
179
+ 2025-03-14 19:20:20,297 - train - INFO - Epoch: 36 | Batch: 100 | Loss: 0.670 | Acc: 77.85%
180
+ 2025-03-14 19:20:22,840 - train - INFO - Epoch: 36 | Batch: 200 | Loss: 0.671 | Acc: 77.67%
181
+ 2025-03-14 19:20:25,126 - train - INFO - Epoch: 36 | Batch: 300 | Loss: 0.681 | Acc: 77.38%
182
+ 2025-03-14 19:20:28,970 - train - INFO - Epoch: 36 | Test Loss: 0.678 | Test Acc: 77.77%
183
+ 2025-03-14 19:20:43,295 - train - INFO - Epoch: 37 | Batch: 0 | Loss: 0.684 | Acc: 81.25%
184
+ 2025-03-14 19:20:45,944 - train - INFO - Epoch: 37 | Batch: 100 | Loss: 0.665 | Acc: 77.61%
185
+ 2025-03-14 19:20:48,513 - train - INFO - Epoch: 37 | Batch: 200 | Loss: 0.666 | Acc: 77.82%
186
+ 2025-03-14 19:20:51,045 - train - INFO - Epoch: 37 | Batch: 300 | Loss: 0.669 | Acc: 77.77%
187
+ 2025-03-14 19:20:55,419 - train - INFO - Epoch: 37 | Test Loss: 0.651 | Test Acc: 77.25%
188
+ 2025-03-14 19:20:55,696 - train - INFO - Epoch: 38 | Batch: 0 | Loss: 0.694 | Acc: 75.78%
189
+ 2025-03-14 19:20:58,163 - train - INFO - Epoch: 38 | Batch: 100 | Loss: 0.668 | Acc: 78.10%
190
+ 2025-03-14 19:21:00,532 - train - INFO - Epoch: 38 | Batch: 200 | Loss: 0.674 | Acc: 77.93%
191
+ 2025-03-14 19:21:02,807 - train - INFO - Epoch: 38 | Batch: 300 | Loss: 0.670 | Acc: 77.89%
192
+ 2025-03-14 19:21:06,493 - train - INFO - Epoch: 38 | Test Loss: 0.765 | Test Acc: 74.16%
193
+ 2025-03-14 19:21:20,685 - train - INFO - Epoch: 39 | Batch: 0 | Loss: 0.699 | Acc: 82.03%
194
+ 2025-03-14 19:21:23,093 - train - INFO - Epoch: 39 | Batch: 100 | Loss: 0.645 | Acc: 78.88%
195
+ 2025-03-14 19:21:25,393 - train - INFO - Epoch: 39 | Batch: 200 | Loss: 0.646 | Acc: 78.84%
196
+ 2025-03-14 19:21:27,649 - train - INFO - Epoch: 39 | Batch: 300 | Loss: 0.654 | Acc: 78.62%
197
+ 2025-03-14 19:21:31,887 - train - INFO - Epoch: 39 | Test Loss: 0.927 | Test Acc: 70.27%
198
+ 2025-03-14 19:21:32,129 - train - INFO - Epoch: 40 | Batch: 0 | Loss: 0.591 | Acc: 79.69%
199
+ 2025-03-14 19:21:34,380 - train - INFO - Epoch: 40 | Batch: 100 | Loss: 0.673 | Acc: 77.82%
200
+ 2025-03-14 19:21:36,784 - train - INFO - Epoch: 40 | Batch: 200 | Loss: 0.673 | Acc: 77.90%
201
+ 2025-03-14 19:21:39,293 - train - INFO - Epoch: 40 | Batch: 300 | Loss: 0.671 | Acc: 77.82%
202
+ 2025-03-14 19:21:43,148 - train - INFO - Epoch: 40 | Test Loss: 0.775 | Test Acc: 73.66%
203
+ 2025-03-14 19:21:55,919 - train - INFO - Epoch: 41 | Batch: 0 | Loss: 0.718 | Acc: 74.22%
204
+ 2025-03-14 19:21:58,347 - train - INFO - Epoch: 41 | Batch: 100 | Loss: 0.662 | Acc: 78.08%
205
+ 2025-03-14 19:22:00,670 - train - INFO - Epoch: 41 | Batch: 200 | Loss: 0.675 | Acc: 77.63%
206
+ 2025-03-14 19:22:03,094 - train - INFO - Epoch: 41 | Batch: 300 | Loss: 0.661 | Acc: 78.06%
207
+ 2025-03-14 19:22:06,604 - train - INFO - Epoch: 41 | Test Loss: 0.766 | Test Acc: 74.54%
208
+ 2025-03-14 19:22:06,872 - train - INFO - Epoch: 42 | Batch: 0 | Loss: 0.607 | Acc: 80.47%
209
+ 2025-03-14 19:22:09,147 - train - INFO - Epoch: 42 | Batch: 100 | Loss: 0.685 | Acc: 77.13%
210
+ 2025-03-14 19:22:11,404 - train - INFO - Epoch: 42 | Batch: 200 | Loss: 0.681 | Acc: 77.10%
211
+ 2025-03-14 19:22:13,667 - train - INFO - Epoch: 42 | Batch: 300 | Loss: 0.670 | Acc: 77.46%
212
+ 2025-03-14 19:22:17,327 - train - INFO - Epoch: 42 | Test Loss: 0.736 | Test Acc: 74.75%
213
+ 2025-03-14 19:22:28,916 - train - INFO - Epoch: 43 | Batch: 0 | Loss: 0.611 | Acc: 81.25%
214
+ 2025-03-14 19:22:31,177 - train - INFO - Epoch: 43 | Batch: 100 | Loss: 0.655 | Acc: 78.44%
215
+ 2025-03-14 19:22:33,409 - train - INFO - Epoch: 43 | Batch: 200 | Loss: 0.670 | Acc: 77.85%
216
+ 2025-03-14 19:22:35,741 - train - INFO - Epoch: 43 | Batch: 300 | Loss: 0.669 | Acc: 77.98%
217
+ 2025-03-14 19:22:39,524 - train - INFO - Epoch: 43 | Test Loss: 1.170 | Test Acc: 64.85%
218
+ 2025-03-14 19:22:39,772 - train - INFO - Epoch: 44 | Batch: 0 | Loss: 0.706 | Acc: 74.22%
219
+ 2025-03-14 19:22:42,140 - train - INFO - Epoch: 44 | Batch: 100 | Loss: 0.664 | Acc: 78.23%
220
+ 2025-03-14 19:22:44,572 - train - INFO - Epoch: 44 | Batch: 200 | Loss: 0.657 | Acc: 78.47%
221
+ 2025-03-14 19:22:46,949 - train - INFO - Epoch: 44 | Batch: 300 | Loss: 0.656 | Acc: 78.45%
222
+ 2025-03-14 19:22:50,567 - train - INFO - Epoch: 44 | Test Loss: 1.059 | Test Acc: 64.82%
223
+ 2025-03-14 19:23:06,353 - train - INFO - Epoch: 45 | Batch: 0 | Loss: 0.930 | Acc: 68.75%
224
+ 2025-03-14 19:23:09,089 - train - INFO - Epoch: 45 | Batch: 100 | Loss: 0.655 | Acc: 78.57%
225
+ 2025-03-14 19:23:11,689 - train - INFO - Epoch: 45 | Batch: 200 | Loss: 0.655 | Acc: 78.47%
226
+ 2025-03-14 19:23:14,039 - train - INFO - Epoch: 45 | Batch: 300 | Loss: 0.656 | Acc: 78.41%
227
+ 2025-03-14 19:23:17,636 - train - INFO - Epoch: 45 | Test Loss: 0.684 | Test Acc: 76.39%
228
+ 2025-03-14 19:23:17,964 - train - INFO - Epoch: 46 | Batch: 0 | Loss: 0.779 | Acc: 76.56%
229
+ 2025-03-14 19:23:20,239 - train - INFO - Epoch: 46 | Batch: 100 | Loss: 0.654 | Acc: 78.95%
230
+ 2025-03-14 19:23:22,457 - train - INFO - Epoch: 46 | Batch: 200 | Loss: 0.660 | Acc: 78.28%
231
+ 2025-03-14 19:23:24,820 - train - INFO - Epoch: 46 | Batch: 300 | Loss: 0.661 | Acc: 78.31%
232
+ 2025-03-14 19:23:28,367 - train - INFO - Epoch: 46 | Test Loss: 0.869 | Test Acc: 71.58%
233
+ 2025-03-14 19:23:45,584 - train - INFO - Epoch: 47 | Batch: 0 | Loss: 0.885 | Acc: 75.00%
234
+ 2025-03-14 19:23:47,800 - train - INFO - Epoch: 47 | Batch: 100 | Loss: 0.659 | Acc: 78.40%
235
+ 2025-03-14 19:23:50,426 - train - INFO - Epoch: 47 | Batch: 200 | Loss: 0.657 | Acc: 78.29%
236
+ 2025-03-14 19:23:52,593 - train - INFO - Epoch: 47 | Batch: 300 | Loss: 0.657 | Acc: 78.39%
237
+ 2025-03-14 19:23:56,224 - train - INFO - Epoch: 47 | Test Loss: 0.772 | Test Acc: 74.50%
238
+ 2025-03-14 19:23:56,449 - train - INFO - Epoch: 48 | Batch: 0 | Loss: 0.706 | Acc: 79.69%
239
+ 2025-03-14 19:23:58,661 - train - INFO - Epoch: 48 | Batch: 100 | Loss: 0.649 | Acc: 78.47%
240
+ 2025-03-14 19:24:00,936 - train - INFO - Epoch: 48 | Batch: 200 | Loss: 0.659 | Acc: 78.07%
241
+ 2025-03-14 19:24:03,223 - train - INFO - Epoch: 48 | Batch: 300 | Loss: 0.658 | Acc: 78.10%
242
+ 2025-03-14 19:24:06,966 - train - INFO - Epoch: 48 | Test Loss: 1.209 | Test Acc: 61.32%
243
+ 2025-03-14 19:24:22,516 - train - INFO - Epoch: 49 | Batch: 0 | Loss: 0.631 | Acc: 79.69%
244
+ 2025-03-14 19:24:24,748 - train - INFO - Epoch: 49 | Batch: 100 | Loss: 0.648 | Acc: 78.53%
245
+ 2025-03-14 19:24:27,130 - train - INFO - Epoch: 49 | Batch: 200 | Loss: 0.646 | Acc: 78.70%
246
+ 2025-03-14 19:24:29,448 - train - INFO - Epoch: 49 | Batch: 300 | Loss: 0.647 | Acc: 78.50%
247
+ 2025-03-14 19:24:33,064 - train - INFO - Epoch: 49 | Test Loss: 0.745 | Test Acc: 75.76%
248
+ 2025-03-14 19:24:33,358 - train - INFO - Epoch: 50 | Batch: 0 | Loss: 0.614 | Acc: 82.03%
249
+ 2025-03-14 19:24:35,647 - train - INFO - Epoch: 50 | Batch: 100 | Loss: 0.643 | Acc: 78.58%
250
+ 2025-03-14 19:24:37,770 - train - INFO - Epoch: 50 | Batch: 200 | Loss: 0.652 | Acc: 78.14%
251
+ 2025-03-14 19:24:40,021 - train - INFO - Epoch: 50 | Batch: 300 | Loss: 0.655 | Acc: 78.17%
252
+ 2025-03-14 19:24:43,596 - train - INFO - Epoch: 50 | Test Loss: 0.763 | Test Acc: 74.79%
253
+ 2025-03-14 19:24:54,655 - train - INFO - 训练完成!
Image/MobileNetv1/code/train.log ADDED
@@ -0,0 +1,253 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2025-03-14 19:09:52,411 - train - INFO - 开始训练 mobilenetv1
2
+ 2025-03-14 19:09:52,412 - train - INFO - 总轮数: 50, 学习率: 0.1, 设备: cuda:3
3
+ 2025-03-14 19:09:53,266 - train - INFO - Epoch: 1 | Batch: 0 | Loss: 2.315 | Acc: 9.38%
4
+ 2025-03-14 19:09:55,666 - train - INFO - Epoch: 1 | Batch: 100 | Loss: 2.226 | Acc: 22.79%
5
+ 2025-03-14 19:09:58,252 - train - INFO - Epoch: 1 | Batch: 200 | Loss: 1.966 | Acc: 29.56%
6
+ 2025-03-14 19:10:00,487 - train - INFO - Epoch: 1 | Batch: 300 | Loss: 1.834 | Acc: 33.79%
7
+ 2025-03-14 19:10:04,050 - train - INFO - Epoch: 1 | Test Loss: 1.396 | Test Acc: 49.59%
8
+ 2025-03-14 19:10:04,535 - train - INFO - Epoch: 2 | Batch: 0 | Loss: 1.433 | Acc: 46.09%
9
+ 2025-03-14 19:10:06,928 - train - INFO - Epoch: 2 | Batch: 100 | Loss: 1.386 | Acc: 50.38%
10
+ 2025-03-14 19:10:09,156 - train - INFO - Epoch: 2 | Batch: 200 | Loss: 1.349 | Acc: 51.67%
11
+ 2025-03-14 19:10:11,286 - train - INFO - Epoch: 2 | Batch: 300 | Loss: 1.318 | Acc: 52.81%
12
+ 2025-03-14 19:10:14,730 - train - INFO - Epoch: 2 | Test Loss: 1.191 | Test Acc: 57.46%
13
+ 2025-03-14 19:10:26,131 - train - INFO - Epoch: 3 | Batch: 0 | Loss: 1.127 | Acc: 59.38%
14
+ 2025-03-14 19:10:28,403 - train - INFO - Epoch: 3 | Batch: 100 | Loss: 1.119 | Acc: 60.50%
15
+ 2025-03-14 19:10:30,681 - train - INFO - Epoch: 3 | Batch: 200 | Loss: 1.100 | Acc: 61.01%
16
+ 2025-03-14 19:10:32,967 - train - INFO - Epoch: 3 | Batch: 300 | Loss: 1.080 | Acc: 61.67%
17
+ 2025-03-14 19:10:36,884 - train - INFO - Epoch: 3 | Test Loss: 1.027 | Test Acc: 64.31%
18
+ 2025-03-14 19:10:37,134 - train - INFO - Epoch: 4 | Batch: 0 | Loss: 0.911 | Acc: 65.62%
19
+ 2025-03-14 19:10:39,401 - train - INFO - Epoch: 4 | Batch: 100 | Loss: 0.922 | Acc: 67.82%
20
+ 2025-03-14 19:10:41,845 - train - INFO - Epoch: 4 | Batch: 200 | Loss: 0.921 | Acc: 68.05%
21
+ 2025-03-14 19:10:44,179 - train - INFO - Epoch: 4 | Batch: 300 | Loss: 0.911 | Acc: 68.51%
22
+ 2025-03-14 19:10:47,847 - train - INFO - Epoch: 4 | Test Loss: 0.893 | Test Acc: 69.71%
23
+ 2025-03-14 19:11:00,025 - train - INFO - Epoch: 5 | Batch: 0 | Loss: 0.853 | Acc: 71.09%
24
+ 2025-03-14 19:11:02,275 - train - INFO - Epoch: 5 | Batch: 100 | Loss: 0.833 | Acc: 71.18%
25
+ 2025-03-14 19:11:04,597 - train - INFO - Epoch: 5 | Batch: 200 | Loss: 0.815 | Acc: 71.77%
26
+ 2025-03-14 19:11:06,880 - train - INFO - Epoch: 5 | Batch: 300 | Loss: 0.815 | Acc: 71.98%
27
+ 2025-03-14 19:11:10,432 - train - INFO - Epoch: 5 | Test Loss: 0.900 | Test Acc: 70.22%
28
+ 2025-03-14 19:11:10,648 - train - INFO - Epoch: 6 | Batch: 0 | Loss: 0.720 | Acc: 76.56%
29
+ 2025-03-14 19:11:12,878 - train - INFO - Epoch: 6 | Batch: 100 | Loss: 0.763 | Acc: 73.74%
30
+ 2025-03-14 19:11:15,152 - train - INFO - Epoch: 6 | Batch: 200 | Loss: 0.757 | Acc: 74.00%
31
+ 2025-03-14 19:11:17,487 - train - INFO - Epoch: 6 | Batch: 300 | Loss: 0.755 | Acc: 74.00%
32
+ 2025-03-14 19:11:21,101 - train - INFO - Epoch: 6 | Test Loss: 0.776 | Test Acc: 74.17%
33
+ 2025-03-14 19:11:33,437 - train - INFO - Epoch: 7 | Batch: 0 | Loss: 0.654 | Acc: 75.78%
34
+ 2025-03-14 19:11:36,120 - train - INFO - Epoch: 7 | Batch: 100 | Loss: 0.734 | Acc: 74.95%
35
+ 2025-03-14 19:11:38,748 - train - INFO - Epoch: 7 | Batch: 200 | Loss: 0.737 | Acc: 74.85%
36
+ 2025-03-14 19:11:41,483 - train - INFO - Epoch: 7 | Batch: 300 | Loss: 0.731 | Acc: 74.99%
37
+ 2025-03-14 19:11:45,749 - train - INFO - Epoch: 7 | Test Loss: 0.809 | Test Acc: 72.85%
38
+ 2025-03-14 19:11:45,976 - train - INFO - Epoch: 8 | Batch: 0 | Loss: 0.592 | Acc: 75.78%
39
+ 2025-03-14 19:11:48,320 - train - INFO - Epoch: 8 | Batch: 100 | Loss: 0.693 | Acc: 76.28%
40
+ 2025-03-14 19:11:50,851 - train - INFO - Epoch: 8 | Batch: 200 | Loss: 0.702 | Acc: 75.98%
41
+ 2025-03-14 19:11:53,161 - train - INFO - Epoch: 8 | Batch: 300 | Loss: 0.702 | Acc: 75.96%
42
+ 2025-03-14 19:11:56,956 - train - INFO - Epoch: 8 | Test Loss: 1.054 | Test Acc: 64.26%
43
+ 2025-03-14 19:12:08,750 - train - INFO - Epoch: 9 | Batch: 0 | Loss: 0.632 | Acc: 80.47%
44
+ 2025-03-14 19:12:11,380 - train - INFO - Epoch: 9 | Batch: 100 | Loss: 0.683 | Acc: 77.00%
45
+ 2025-03-14 19:12:13,700 - train - INFO - Epoch: 9 | Batch: 200 | Loss: 0.697 | Acc: 76.47%
46
+ 2025-03-14 19:12:15,791 - train - INFO - Epoch: 9 | Batch: 300 | Loss: 0.694 | Acc: 76.50%
47
+ 2025-03-14 19:12:18,944 - train - INFO - Epoch: 9 | Test Loss: 1.166 | Test Acc: 63.32%
48
+ 2025-03-14 19:12:19,160 - train - INFO - Epoch: 10 | Batch: 0 | Loss: 0.620 | Acc: 78.12%
49
+ 2025-03-14 19:12:21,209 - train - INFO - Epoch: 10 | Batch: 100 | Loss: 0.683 | Acc: 76.84%
50
+ 2025-03-14 19:12:23,727 - train - INFO - Epoch: 10 | Batch: 200 | Loss: 0.674 | Acc: 77.05%
51
+ 2025-03-14 19:12:26,185 - train - INFO - Epoch: 10 | Batch: 300 | Loss: 0.684 | Acc: 76.82%
52
+ 2025-03-14 19:12:30,064 - train - INFO - Epoch: 10 | Test Loss: 0.677 | Test Acc: 76.82%
53
+ 2025-03-14 19:12:42,009 - train - INFO - Epoch: 11 | Batch: 0 | Loss: 0.804 | Acc: 72.66%
54
+ 2025-03-14 19:12:44,567 - train - INFO - Epoch: 11 | Batch: 100 | Loss: 0.678 | Acc: 77.30%
55
+ 2025-03-14 19:12:47,101 - train - INFO - Epoch: 11 | Batch: 200 | Loss: 0.662 | Acc: 77.78%
56
+ 2025-03-14 19:12:49,296 - train - INFO - Epoch: 11 | Batch: 300 | Loss: 0.667 | Acc: 77.48%
57
+ 2025-03-14 19:12:53,279 - train - INFO - Epoch: 11 | Test Loss: 0.866 | Test Acc: 70.78%
58
+ 2025-03-14 19:12:53,592 - train - INFO - Epoch: 12 | Batch: 0 | Loss: 0.626 | Acc: 82.03%
59
+ 2025-03-14 19:12:56,135 - train - INFO - Epoch: 12 | Batch: 100 | Loss: 0.666 | Acc: 77.05%
60
+ 2025-03-14 19:12:58,583 - train - INFO - Epoch: 12 | Batch: 200 | Loss: 0.667 | Acc: 77.21%
61
+ 2025-03-14 19:13:00,967 - train - INFO - Epoch: 12 | Batch: 300 | Loss: 0.664 | Acc: 77.27%
62
+ 2025-03-14 19:13:04,885 - train - INFO - Epoch: 12 | Test Loss: 0.848 | Test Acc: 71.45%
63
+ 2025-03-14 19:13:17,833 - train - INFO - Epoch: 13 | Batch: 0 | Loss: 0.646 | Acc: 77.34%
64
+ 2025-03-14 19:13:20,812 - train - INFO - Epoch: 13 | Batch: 100 | Loss: 0.677 | Acc: 76.84%
65
+ 2025-03-14 19:13:23,635 - train - INFO - Epoch: 13 | Batch: 200 | Loss: 0.683 | Acc: 76.69%
66
+ 2025-03-14 19:13:26,191 - train - INFO - Epoch: 13 | Batch: 300 | Loss: 0.680 | Acc: 76.85%
67
+ 2025-03-14 19:13:30,593 - train - INFO - Epoch: 13 | Test Loss: 0.760 | Test Acc: 74.39%
68
+ 2025-03-14 19:13:30,841 - train - INFO - Epoch: 14 | Batch: 0 | Loss: 0.619 | Acc: 82.03%
69
+ 2025-03-14 19:13:33,396 - train - INFO - Epoch: 14 | Batch: 100 | Loss: 0.655 | Acc: 78.09%
70
+ 2025-03-14 19:13:35,996 - train - INFO - Epoch: 14 | Batch: 200 | Loss: 0.652 | Acc: 78.04%
71
+ 2025-03-14 19:13:38,805 - train - INFO - Epoch: 14 | Batch: 300 | Loss: 0.654 | Acc: 78.02%
72
+ 2025-03-14 19:13:42,959 - train - INFO - Epoch: 14 | Test Loss: 0.912 | Test Acc: 70.57%
73
+ 2025-03-14 19:13:55,836 - train - INFO - Epoch: 15 | Batch: 0 | Loss: 0.699 | Acc: 78.12%
74
+ 2025-03-14 19:13:58,506 - train - INFO - Epoch: 15 | Batch: 100 | Loss: 0.658 | Acc: 77.43%
75
+ 2025-03-14 19:14:01,166 - train - INFO - Epoch: 15 | Batch: 200 | Loss: 0.651 | Acc: 77.77%
76
+ 2025-03-14 19:14:03,871 - train - INFO - Epoch: 15 | Batch: 300 | Loss: 0.651 | Acc: 77.81%
77
+ 2025-03-14 19:14:07,939 - train - INFO - Epoch: 15 | Test Loss: 0.857 | Test Acc: 71.50%
78
+ 2025-03-14 19:14:08,186 - train - INFO - Epoch: 16 | Batch: 0 | Loss: 0.714 | Acc: 74.22%
79
+ 2025-03-14 19:14:10,731 - train - INFO - Epoch: 16 | Batch: 100 | Loss: 0.634 | Acc: 78.77%
80
+ 2025-03-14 19:14:13,222 - train - INFO - Epoch: 16 | Batch: 200 | Loss: 0.631 | Acc: 78.96%
81
+ 2025-03-14 19:14:15,728 - train - INFO - Epoch: 16 | Batch: 300 | Loss: 0.642 | Acc: 78.45%
82
+ 2025-03-14 19:14:19,572 - train - INFO - Epoch: 16 | Test Loss: 0.800 | Test Acc: 74.04%
83
+ 2025-03-14 19:14:31,479 - train - INFO - Epoch: 17 | Batch: 0 | Loss: 0.904 | Acc: 69.53%
84
+ 2025-03-14 19:14:33,806 - train - INFO - Epoch: 17 | Batch: 100 | Loss: 0.636 | Acc: 78.62%
85
+ 2025-03-14 19:14:36,052 - train - INFO - Epoch: 17 | Batch: 200 | Loss: 0.636 | Acc: 78.54%
86
+ 2025-03-14 19:14:38,377 - train - INFO - Epoch: 17 | Batch: 300 | Loss: 0.635 | Acc: 78.66%
87
+ 2025-03-14 19:14:42,061 - train - INFO - Epoch: 17 | Test Loss: 0.753 | Test Acc: 75.02%
88
+ 2025-03-14 19:14:42,233 - train - INFO - Epoch: 18 | Batch: 0 | Loss: 0.663 | Acc: 75.78%
89
+ 2025-03-14 19:14:44,554 - train - INFO - Epoch: 18 | Batch: 100 | Loss: 0.627 | Acc: 78.36%
90
+ 2025-03-14 19:14:46,924 - train - INFO - Epoch: 18 | Batch: 200 | Loss: 0.636 | Acc: 78.22%
91
+ 2025-03-14 19:14:49,130 - train - INFO - Epoch: 18 | Batch: 300 | Loss: 0.635 | Acc: 78.31%
92
+ 2025-03-14 19:14:52,651 - train - INFO - Epoch: 18 | Test Loss: 0.824 | Test Acc: 74.00%
93
+ 2025-03-14 19:15:04,182 - train - INFO - Epoch: 19 | Batch: 0 | Loss: 0.718 | Acc: 75.78%
94
+ 2025-03-14 19:15:06,607 - train - INFO - Epoch: 19 | Batch: 100 | Loss: 0.627 | Acc: 78.48%
95
+ 2025-03-14 19:15:08,889 - train - INFO - Epoch: 19 | Batch: 200 | Loss: 0.629 | Acc: 78.63%
96
+ 2025-03-14 19:15:11,168 - train - INFO - Epoch: 19 | Batch: 300 | Loss: 0.632 | Acc: 78.60%
97
+ 2025-03-14 19:15:14,679 - train - INFO - Epoch: 19 | Test Loss: 0.860 | Test Acc: 71.95%
98
+ 2025-03-14 19:15:14,903 - train - INFO - Epoch: 20 | Batch: 0 | Loss: 0.713 | Acc: 71.88%
99
+ 2025-03-14 19:15:17,436 - train - INFO - Epoch: 20 | Batch: 100 | Loss: 0.613 | Acc: 79.31%
100
+ 2025-03-14 19:15:19,801 - train - INFO - Epoch: 20 | Batch: 200 | Loss: 0.618 | Acc: 78.89%
101
+ 2025-03-14 19:15:22,138 - train - INFO - Epoch: 20 | Batch: 300 | Loss: 0.625 | Acc: 78.67%
102
+ 2025-03-14 19:15:25,794 - train - INFO - Epoch: 20 | Test Loss: 0.814 | Test Acc: 72.63%
103
+ 2025-03-14 19:15:37,215 - train - INFO - Epoch: 21 | Batch: 0 | Loss: 0.545 | Acc: 80.47%
104
+ 2025-03-14 19:15:39,531 - train - INFO - Epoch: 21 | Batch: 100 | Loss: 0.618 | Acc: 79.42%
105
+ 2025-03-14 19:15:42,160 - train - INFO - Epoch: 21 | Batch: 200 | Loss: 0.623 | Acc: 79.14%
106
+ 2025-03-14 19:15:44,548 - train - INFO - Epoch: 21 | Batch: 300 | Loss: 0.621 | Acc: 79.13%
107
+ 2025-03-14 19:15:48,266 - train - INFO - Epoch: 21 | Test Loss: 0.772 | Test Acc: 74.04%
108
+ 2025-03-14 19:15:48,450 - train - INFO - Epoch: 22 | Batch: 0 | Loss: 0.582 | Acc: 82.81%
109
+ 2025-03-14 19:15:50,889 - train - INFO - Epoch: 22 | Batch: 100 | Loss: 0.625 | Acc: 78.47%
110
+ 2025-03-14 19:15:53,306 - train - INFO - Epoch: 22 | Batch: 200 | Loss: 0.617 | Acc: 78.98%
111
+ 2025-03-14 19:15:55,517 - train - INFO - Epoch: 22 | Batch: 300 | Loss: 0.619 | Acc: 78.96%
112
+ 2025-03-14 19:15:58,908 - train - INFO - Epoch: 22 | Test Loss: 0.841 | Test Acc: 72.71%
113
+ 2025-03-14 19:16:11,475 - train - INFO - Epoch: 23 | Batch: 0 | Loss: 0.794 | Acc: 75.00%
114
+ 2025-03-14 19:16:14,047 - train - INFO - Epoch: 23 | Batch: 100 | Loss: 0.600 | Acc: 79.59%
115
+ 2025-03-14 19:16:16,528 - train - INFO - Epoch: 23 | Batch: 200 | Loss: 0.609 | Acc: 79.28%
116
+ 2025-03-14 19:16:18,937 - train - INFO - Epoch: 23 | Batch: 300 | Loss: 0.614 | Acc: 79.13%
117
+ 2025-03-14 19:16:22,747 - train - INFO - Epoch: 23 | Test Loss: 0.636 | Test Acc: 78.55%
118
+ 2025-03-14 19:16:23,032 - train - INFO - Epoch: 24 | Batch: 0 | Loss: 0.638 | Acc: 73.44%
119
+ 2025-03-14 19:16:25,582 - train - INFO - Epoch: 24 | Batch: 100 | Loss: 0.597 | Acc: 79.85%
120
+ 2025-03-14 19:16:28,077 - train - INFO - Epoch: 24 | Batch: 200 | Loss: 0.613 | Acc: 79.45%
121
+ 2025-03-14 19:16:30,547 - train - INFO - Epoch: 24 | Batch: 300 | Loss: 0.615 | Acc: 79.25%
122
+ 2025-03-14 19:16:35,247 - train - INFO - Epoch: 24 | Test Loss: 0.761 | Test Acc: 74.45%
123
+ 2025-03-14 19:16:52,451 - train - INFO - Epoch: 25 | Batch: 0 | Loss: 0.606 | Acc: 77.34%
124
+ 2025-03-14 19:16:54,634 - train - INFO - Epoch: 25 | Batch: 100 | Loss: 0.593 | Acc: 79.85%
125
+ 2025-03-14 19:16:56,947 - train - INFO - Epoch: 25 | Batch: 200 | Loss: 0.596 | Acc: 79.71%
126
+ 2025-03-14 19:16:59,193 - train - INFO - Epoch: 25 | Batch: 300 | Loss: 0.604 | Acc: 79.53%
127
+ 2025-03-14 19:17:03,197 - train - INFO - Epoch: 25 | Test Loss: 0.733 | Test Acc: 75.32%
128
+ 2025-03-14 19:17:03,436 - train - INFO - Epoch: 26 | Batch: 0 | Loss: 0.550 | Acc: 79.69%
129
+ 2025-03-14 19:17:05,700 - train - INFO - Epoch: 26 | Batch: 100 | Loss: 0.611 | Acc: 79.37%
130
+ 2025-03-14 19:17:08,156 - train - INFO - Epoch: 26 | Batch: 200 | Loss: 0.602 | Acc: 79.71%
131
+ 2025-03-14 19:17:10,854 - train - INFO - Epoch: 26 | Batch: 300 | Loss: 0.607 | Acc: 79.50%
132
+ 2025-03-14 19:17:14,903 - train - INFO - Epoch: 26 | Test Loss: 0.837 | Test Acc: 71.82%
133
+ 2025-03-14 19:17:28,190 - train - INFO - Epoch: 27 | Batch: 0 | Loss: 0.728 | Acc: 73.44%
134
+ 2025-03-14 19:17:30,383 - train - INFO - Epoch: 27 | Batch: 100 | Loss: 0.595 | Acc: 80.10%
135
+ 2025-03-14 19:17:32,712 - train - INFO - Epoch: 27 | Batch: 200 | Loss: 0.592 | Acc: 80.34%
136
+ 2025-03-14 19:17:34,992 - train - INFO - Epoch: 27 | Batch: 300 | Loss: 0.602 | Acc: 79.93%
137
+ 2025-03-14 19:17:39,085 - train - INFO - Epoch: 27 | Test Loss: 0.940 | Test Acc: 68.79%
138
+ 2025-03-14 19:17:39,382 - train - INFO - Epoch: 28 | Batch: 0 | Loss: 0.579 | Acc: 78.12%
139
+ 2025-03-14 19:17:41,788 - train - INFO - Epoch: 28 | Batch: 100 | Loss: 0.601 | Acc: 79.42%
140
+ 2025-03-14 19:17:43,931 - train - INFO - Epoch: 28 | Batch: 200 | Loss: 0.607 | Acc: 79.28%
141
+ 2025-03-14 19:17:46,181 - train - INFO - Epoch: 28 | Batch: 300 | Loss: 0.608 | Acc: 79.43%
142
+ 2025-03-14 19:17:50,102 - train - INFO - Epoch: 28 | Test Loss: 0.738 | Test Acc: 75.43%
143
+ 2025-03-14 19:18:03,137 - train - INFO - Epoch: 29 | Batch: 0 | Loss: 0.392 | Acc: 87.50%
144
+ 2025-03-14 19:18:05,602 - train - INFO - Epoch: 29 | Batch: 100 | Loss: 0.578 | Acc: 80.04%
145
+ 2025-03-14 19:18:07,998 - train - INFO - Epoch: 29 | Batch: 200 | Loss: 0.587 | Acc: 80.07%
146
+ 2025-03-14 19:18:10,390 - train - INFO - Epoch: 29 | Batch: 300 | Loss: 0.594 | Acc: 79.86%
147
+ 2025-03-14 19:18:14,256 - train - INFO - Epoch: 29 | Test Loss: 0.868 | Test Acc: 70.16%
148
+ 2025-03-14 19:18:14,469 - train - INFO - Epoch: 30 | Batch: 0 | Loss: 0.523 | Acc: 82.81%
149
+ 2025-03-14 19:18:16,749 - train - INFO - Epoch: 30 | Batch: 100 | Loss: 0.600 | Acc: 79.69%
150
+ 2025-03-14 19:18:19,110 - train - INFO - Epoch: 30 | Batch: 200 | Loss: 0.597 | Acc: 79.75%
151
+ 2025-03-14 19:18:21,392 - train - INFO - Epoch: 30 | Batch: 300 | Loss: 0.603 | Acc: 79.53%
152
+ 2025-03-14 19:18:25,247 - train - INFO - Epoch: 30 | Test Loss: 0.804 | Test Acc: 73.83%
153
+ 2025-03-14 19:18:37,557 - train - INFO - Epoch: 31 | Batch: 0 | Loss: 0.571 | Acc: 80.47%
154
+ 2025-03-14 19:18:39,806 - train - INFO - Epoch: 31 | Batch: 100 | Loss: 0.581 | Acc: 80.70%
155
+ 2025-03-14 19:18:42,069 - train - INFO - Epoch: 31 | Batch: 200 | Loss: 0.588 | Acc: 80.17%
156
+ 2025-03-14 19:18:44,274 - train - INFO - Epoch: 31 | Batch: 300 | Loss: 0.598 | Acc: 79.81%
157
+ 2025-03-14 19:18:48,074 - train - INFO - Epoch: 31 | Test Loss: 0.635 | Test Acc: 77.69%
158
+ 2025-03-14 19:18:48,403 - train - INFO - Epoch: 32 | Batch: 0 | Loss: 0.524 | Acc: 82.03%
159
+ 2025-03-14 19:18:50,787 - train - INFO - Epoch: 32 | Batch: 100 | Loss: 0.593 | Acc: 79.94%
160
+ 2025-03-14 19:18:53,111 - train - INFO - Epoch: 32 | Batch: 200 | Loss: 0.596 | Acc: 79.82%
161
+ 2025-03-14 19:18:55,304 - train - INFO - Epoch: 32 | Batch: 300 | Loss: 0.594 | Acc: 79.85%
162
+ 2025-03-14 19:18:58,912 - train - INFO - Epoch: 32 | Test Loss: 0.803 | Test Acc: 72.32%
163
+ 2025-03-14 19:19:10,428 - train - INFO - Epoch: 33 | Batch: 0 | Loss: 0.504 | Acc: 84.38%
164
+ 2025-03-14 19:19:12,672 - train - INFO - Epoch: 33 | Batch: 100 | Loss: 0.585 | Acc: 79.99%
165
+ 2025-03-14 19:19:15,130 - train - INFO - Epoch: 33 | Batch: 200 | Loss: 0.591 | Acc: 80.00%
166
+ 2025-03-14 19:19:17,400 - train - INFO - Epoch: 33 | Batch: 300 | Loss: 0.594 | Acc: 79.90%
167
+ 2025-03-14 19:19:21,074 - train - INFO - Epoch: 33 | Test Loss: 0.728 | Test Acc: 75.99%
168
+ 2025-03-14 19:19:21,325 - train - INFO - Epoch: 34 | Batch: 0 | Loss: 0.505 | Acc: 84.38%
169
+ 2025-03-14 19:19:23,582 - train - INFO - Epoch: 34 | Batch: 100 | Loss: 0.579 | Acc: 80.73%
170
+ 2025-03-14 19:19:25,811 - train - INFO - Epoch: 34 | Batch: 200 | Loss: 0.591 | Acc: 80.00%
171
+ 2025-03-14 19:19:28,143 - train - INFO - Epoch: 34 | Batch: 300 | Loss: 0.597 | Acc: 79.88%
172
+ 2025-03-14 19:19:31,854 - train - INFO - Epoch: 34 | Test Loss: 0.923 | Test Acc: 70.57%
173
+ 2025-03-14 19:19:44,699 - train - INFO - Epoch: 35 | Batch: 0 | Loss: 0.456 | Acc: 85.16%
174
+ 2025-03-14 19:19:47,040 - train - INFO - Epoch: 35 | Batch: 100 | Loss: 0.579 | Acc: 80.26%
175
+ 2025-03-14 19:19:49,476 - train - INFO - Epoch: 35 | Batch: 200 | Loss: 0.592 | Acc: 79.92%
176
+ 2025-03-14 19:19:51,834 - train - INFO - Epoch: 35 | Batch: 300 | Loss: 0.590 | Acc: 79.92%
177
+ 2025-03-14 19:19:55,647 - train - INFO - Epoch: 35 | Test Loss: 0.719 | Test Acc: 75.56%
178
+ 2025-03-14 19:19:55,832 - train - INFO - Epoch: 36 | Batch: 0 | Loss: 0.627 | Acc: 78.91%
179
+ 2025-03-14 19:19:58,103 - train - INFO - Epoch: 36 | Batch: 100 | Loss: 0.567 | Acc: 80.92%
180
+ 2025-03-14 19:20:00,453 - train - INFO - Epoch: 36 | Batch: 200 | Loss: 0.583 | Acc: 80.37%
181
+ 2025-03-14 19:20:02,728 - train - INFO - Epoch: 36 | Batch: 300 | Loss: 0.585 | Acc: 80.31%
182
+ 2025-03-14 19:20:06,322 - train - INFO - Epoch: 36 | Test Loss: 0.740 | Test Acc: 75.07%
183
+ 2025-03-14 19:20:18,017 - train - INFO - Epoch: 37 | Batch: 0 | Loss: 0.633 | Acc: 80.47%
184
+ 2025-03-14 19:20:20,274 - train - INFO - Epoch: 37 | Batch: 100 | Loss: 0.561 | Acc: 81.09%
185
+ 2025-03-14 19:20:22,825 - train - INFO - Epoch: 37 | Batch: 200 | Loss: 0.574 | Acc: 80.56%
186
+ 2025-03-14 19:20:25,118 - train - INFO - Epoch: 37 | Batch: 300 | Loss: 0.575 | Acc: 80.53%
187
+ 2025-03-14 19:20:28,973 - train - INFO - Epoch: 37 | Test Loss: 0.727 | Test Acc: 75.90%
188
+ 2025-03-14 19:20:29,339 - train - INFO - Epoch: 38 | Batch: 0 | Loss: 0.595 | Acc: 80.47%
189
+ 2025-03-14 19:20:31,652 - train - INFO - Epoch: 38 | Batch: 100 | Loss: 0.571 | Acc: 80.77%
190
+ 2025-03-14 19:20:34,298 - train - INFO - Epoch: 38 | Batch: 200 | Loss: 0.569 | Acc: 80.84%
191
+ 2025-03-14 19:20:37,043 - train - INFO - Epoch: 38 | Batch: 300 | Loss: 0.571 | Acc: 80.68%
192
+ 2025-03-14 19:20:42,009 - train - INFO - Epoch: 38 | Test Loss: 0.678 | Test Acc: 77.55%
193
+ 2025-03-14 19:20:57,971 - train - INFO - Epoch: 39 | Batch: 0 | Loss: 0.579 | Acc: 78.12%
194
+ 2025-03-14 19:21:00,491 - train - INFO - Epoch: 39 | Batch: 100 | Loss: 0.603 | Acc: 79.55%
195
+ 2025-03-14 19:21:02,692 - train - INFO - Epoch: 39 | Batch: 200 | Loss: 0.588 | Acc: 80.21%
196
+ 2025-03-14 19:21:04,962 - train - INFO - Epoch: 39 | Batch: 300 | Loss: 0.583 | Acc: 80.22%
197
+ 2025-03-14 19:21:08,498 - train - INFO - Epoch: 39 | Test Loss: 0.630 | Test Acc: 79.20%
198
+ 2025-03-14 19:21:08,743 - train - INFO - Epoch: 40 | Batch: 0 | Loss: 0.506 | Acc: 82.81%
199
+ 2025-03-14 19:21:11,357 - train - INFO - Epoch: 40 | Batch: 100 | Loss: 0.572 | Acc: 80.66%
200
+ 2025-03-14 19:21:13,832 - train - INFO - Epoch: 40 | Batch: 200 | Loss: 0.580 | Acc: 80.50%
201
+ 2025-03-14 19:21:16,254 - train - INFO - Epoch: 40 | Batch: 300 | Loss: 0.576 | Acc: 80.58%
202
+ 2025-03-14 19:21:19,990 - train - INFO - Epoch: 40 | Test Loss: 0.698 | Test Acc: 77.19%
203
+ 2025-03-14 19:21:33,933 - train - INFO - Epoch: 41 | Batch: 0 | Loss: 0.647 | Acc: 73.44%
204
+ 2025-03-14 19:21:36,385 - train - INFO - Epoch: 41 | Batch: 100 | Loss: 0.592 | Acc: 79.76%
205
+ 2025-03-14 19:21:38,741 - train - INFO - Epoch: 41 | Batch: 200 | Loss: 0.592 | Acc: 79.90%
206
+ 2025-03-14 19:21:41,132 - train - INFO - Epoch: 41 | Batch: 300 | Loss: 0.591 | Acc: 79.99%
207
+ 2025-03-14 19:21:45,047 - train - INFO - Epoch: 41 | Test Loss: 0.694 | Test Acc: 77.17%
208
+ 2025-03-14 19:21:45,309 - train - INFO - Epoch: 42 | Batch: 0 | Loss: 0.585 | Acc: 78.91%
209
+ 2025-03-14 19:21:47,785 - train - INFO - Epoch: 42 | Batch: 100 | Loss: 0.580 | Acc: 80.58%
210
+ 2025-03-14 19:21:50,283 - train - INFO - Epoch: 42 | Batch: 200 | Loss: 0.583 | Acc: 80.39%
211
+ 2025-03-14 19:21:52,576 - train - INFO - Epoch: 42 | Batch: 300 | Loss: 0.581 | Acc: 80.29%
212
+ 2025-03-14 19:21:56,504 - train - INFO - Epoch: 42 | Test Loss: 0.640 | Test Acc: 78.78%
213
+ 2025-03-14 19:22:09,412 - train - INFO - Epoch: 43 | Batch: 0 | Loss: 0.661 | Acc: 77.34%
214
+ 2025-03-14 19:22:11,772 - train - INFO - Epoch: 43 | Batch: 100 | Loss: 0.577 | Acc: 80.29%
215
+ 2025-03-14 19:22:13,947 - train - INFO - Epoch: 43 | Batch: 200 | Loss: 0.573 | Acc: 80.45%
216
+ 2025-03-14 19:22:16,276 - train - INFO - Epoch: 43 | Batch: 300 | Loss: 0.575 | Acc: 80.39%
217
+ 2025-03-14 19:22:19,982 - train - INFO - Epoch: 43 | Test Loss: 0.761 | Test Acc: 75.18%
218
+ 2025-03-14 19:22:20,244 - train - INFO - Epoch: 44 | Batch: 0 | Loss: 0.504 | Acc: 83.59%
219
+ 2025-03-14 19:22:22,549 - train - INFO - Epoch: 44 | Batch: 100 | Loss: 0.558 | Acc: 81.34%
220
+ 2025-03-14 19:22:25,088 - train - INFO - Epoch: 44 | Batch: 200 | Loss: 0.568 | Acc: 80.99%
221
+ 2025-03-14 19:22:27,330 - train - INFO - Epoch: 44 | Batch: 300 | Loss: 0.574 | Acc: 80.70%
222
+ 2025-03-14 19:22:31,247 - train - INFO - Epoch: 44 | Test Loss: 0.710 | Test Acc: 76.16%
223
+ 2025-03-14 19:22:46,477 - train - INFO - Epoch: 45 | Batch: 0 | Loss: 0.561 | Acc: 78.91%
224
+ 2025-03-14 19:22:48,835 - train - INFO - Epoch: 45 | Batch: 100 | Loss: 0.550 | Acc: 81.54%
225
+ 2025-03-14 19:22:51,134 - train - INFO - Epoch: 45 | Batch: 200 | Loss: 0.554 | Acc: 81.12%
226
+ 2025-03-14 19:22:53,457 - train - INFO - Epoch: 45 | Batch: 300 | Loss: 0.562 | Acc: 80.82%
227
+ 2025-03-14 19:22:57,455 - train - INFO - Epoch: 45 | Test Loss: 0.826 | Test Acc: 73.68%
228
+ 2025-03-14 19:22:57,715 - train - INFO - Epoch: 46 | Batch: 0 | Loss: 0.513 | Acc: 83.59%
229
+ 2025-03-14 19:23:00,031 - train - INFO - Epoch: 46 | Batch: 100 | Loss: 0.579 | Acc: 80.21%
230
+ 2025-03-14 19:23:02,378 - train - INFO - Epoch: 46 | Batch: 200 | Loss: 0.576 | Acc: 80.56%
231
+ 2025-03-14 19:23:04,667 - train - INFO - Epoch: 46 | Batch: 300 | Loss: 0.579 | Acc: 80.41%
232
+ 2025-03-14 19:23:09,125 - train - INFO - Epoch: 46 | Test Loss: 0.757 | Test Acc: 75.72%
233
+ 2025-03-14 19:23:23,982 - train - INFO - Epoch: 47 | Batch: 0 | Loss: 0.391 | Acc: 87.50%
234
+ 2025-03-14 19:23:26,330 - train - INFO - Epoch: 47 | Batch: 100 | Loss: 0.567 | Acc: 80.68%
235
+ 2025-03-14 19:23:28,656 - train - INFO - Epoch: 47 | Batch: 200 | Loss: 0.569 | Acc: 80.55%
236
+ 2025-03-14 19:23:30,938 - train - INFO - Epoch: 47 | Batch: 300 | Loss: 0.564 | Acc: 80.83%
237
+ 2025-03-14 19:23:35,580 - train - INFO - Epoch: 47 | Test Loss: 0.697 | Test Acc: 76.91%
238
+ 2025-03-14 19:23:35,874 - train - INFO - Epoch: 48 | Batch: 0 | Loss: 0.568 | Acc: 82.03%
239
+ 2025-03-14 19:23:39,159 - train - INFO - Epoch: 48 | Batch: 100 | Loss: 0.556 | Acc: 81.37%
240
+ 2025-03-14 19:23:41,720 - train - INFO - Epoch: 48 | Batch: 200 | Loss: 0.562 | Acc: 81.03%
241
+ 2025-03-14 19:23:44,018 - train - INFO - Epoch: 48 | Batch: 300 | Loss: 0.566 | Acc: 80.92%
242
+ 2025-03-14 19:23:47,764 - train - INFO - Epoch: 48 | Test Loss: 0.740 | Test Acc: 76.44%
243
+ 2025-03-14 19:24:03,458 - train - INFO - Epoch: 49 | Batch: 0 | Loss: 0.434 | Acc: 84.38%
244
+ 2025-03-14 19:24:06,028 - train - INFO - Epoch: 49 | Batch: 100 | Loss: 0.557 | Acc: 81.14%
245
+ 2025-03-14 19:24:08,540 - train - INFO - Epoch: 49 | Batch: 200 | Loss: 0.567 | Acc: 80.76%
246
+ 2025-03-14 19:24:11,018 - train - INFO - Epoch: 49 | Batch: 300 | Loss: 0.570 | Acc: 80.54%
247
+ 2025-03-14 19:24:14,809 - train - INFO - Epoch: 49 | Test Loss: 0.645 | Test Acc: 77.99%
248
+ 2025-03-14 19:24:15,220 - train - INFO - Epoch: 50 | Batch: 0 | Loss: 0.661 | Acc: 82.03%
249
+ 2025-03-14 19:24:17,452 - train - INFO - Epoch: 50 | Batch: 100 | Loss: 0.553 | Acc: 81.09%
250
+ 2025-03-14 19:24:19,678 - train - INFO - Epoch: 50 | Batch: 200 | Loss: 0.553 | Acc: 81.04%
251
+ 2025-03-14 19:24:21,988 - train - INFO - Epoch: 50 | Batch: 300 | Loss: 0.560 | Acc: 80.89%
252
+ 2025-03-14 19:24:25,737 - train - INFO - Epoch: 50 | Test Loss: 0.719 | Test Acc: 75.84%
253
+ 2025-03-14 19:24:43,173 - train - INFO - 训练完成!
Image/MobileNetv1/code/train.py CHANGED
@@ -27,7 +27,7 @@ def main():
27
  save_dir='../model',
28
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29
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30
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31
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@@ -55,7 +55,7 @@ def main():
55
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56
  num_workers=args.num_workers,
57
  local_dataset_path=args.dataset_path,
58
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59
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60
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