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Testing-model

Image Segmentation
PyTorch
sid-unet
synthetic-image-detection
diffusion-detection
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KhangTruong commited on
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1 Parent(s): 58db813

feat(release): final training report and checkpoints for KhangTruong/Testing-model (v1)

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Files changed (32) hide show
  1. README.md +2 -2
  2. checkpoints/checkpoint_best.pt +2 -2
  3. checkpoints/checkpoint_best_config.yaml +1 -1
  4. checkpoints/checkpoint_latest.pt +2 -2
  5. checkpoints/checkpoint_latest_config.yaml +1 -1
  6. checkpoints/effective_config.yaml +1 -1
  7. config.yaml +1 -1
  8. manifest.json +4 -5
  9. reports/test_evaluation_report.json +10 -10
  10. reports/test_evaluation_report.md +7 -7
  11. reports/training_curves.jpg +2 -2
  12. reports/training_curves.pdf +0 -0
  13. reports/training_curves.png +2 -2
  14. reports/training_final_report.json +76 -30
  15. reports/training_final_report.md +9 -8
  16. reports/training_history.csv +2 -1
  17. reports/training_history.json +65 -19
  18. versions/v1/checkpoint_best_config.yaml +1 -1
  19. versions/v1/checkpoint_latest_config.yaml +1 -1
  20. versions/v1/checkpoints/checkpoint_best.pt +2 -2
  21. versions/v1/checkpoints/checkpoint_latest.pt +2 -2
  22. versions/v1/effective_config.yaml +1 -1
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  24. versions/v1/reports/test_evaluation_report.json +10 -10
  25. versions/v1/reports/test_evaluation_report.md +7 -7
  26. versions/v1/reports/training_curves.jpg +2 -2
  27. versions/v1/reports/training_curves.pdf +0 -0
  28. versions/v1/reports/training_curves.png +2 -2
  29. versions/v1/reports/training_final_report.json +76 -30
  30. versions/v1/reports/training_final_report.md +9 -8
  31. versions/v1/reports/training_history.csv +2 -1
  32. versions/v1/reports/training_history.json +65 -19
README.md CHANGED
@@ -18,11 +18,11 @@ Official repository for **Testing-model** checkpoints, evaluated on AI-generated
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  | Version | Best Metric Score | Best Epoch | Updated |
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  | :--- | :--- | :--- | :--- |
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- | `v1` | 0.6 | 1 | 2026-10-07 |
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  - **Active Version:** `v1`
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  - **Best Validation Score:** `0.6` (Epoch `1`)
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- - **Total Training Epochs:** `5`
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  ---
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  | Version | Best Metric Score | Best Epoch | Updated |
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  | :--- | :--- | :--- | :--- |
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+ | `v1` | 0.6 | 1 | 2026-10-09 |
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  - **Active Version:** `v1`
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  - **Best Validation Score:** `0.6` (Epoch `1`)
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+ - **Total Training Epochs:** `6`
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  ---
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  | Metric | Value |
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  |------------------|---------|
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  | Metric | Value |
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  |------------------|---------|
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reports/training_final_report.md CHANGED
@@ -25,17 +25,17 @@
25
 
26
  | Metric | Value |
27
  |-----------------|---------|
28
- | Val Bce Loss | 0.6883 |
29
- | Val Dice Loss | 0.5921 |
30
- | Val Focal Loss | 0.0807 |
31
- | Val Mask Loss | 0.6806 |
32
- | Val Total Loss | 0.6806 |
33
  | Val Iou | 0.6 |
34
  | Val Dice | 0.6 |
35
  | Val F1 | 0.6 |
36
  | Val Pixel F1 | 0.6 |
37
- | Val Auroc | 0.7946 |
38
- | Val Pixel Auroc | 0.7946 |
39
  | Val Pixel Acc | 0.6 |
40
  | Val Precision | 0.6 |
41
  | Val Recall | 0.6 |
@@ -53,7 +53,8 @@
53
  | 2 | 0.8813 | 0.9076 | 0.0129 | 0.0254 | 0.5057 | 0.0143 | 0.000251 |
54
  | 3 | 0.6155 | 0.6859 | 0.1782 | 0.2147 | 0.6987 | 0.416 | 0.000147 |
55
  | 4 | 0.7411 | 0.6793 | 0.6 | 0.6 | 0.7932 | 0.6 | 0.001 |
56
- | 5 | 0.6793 | 0.6806 | 0.6 | 0.6 | 0.7946 | 0.6 | 3e-07 |
 
57
 
58
  ### Per-Subset Metrics Breakdown
59
 
 
25
 
26
  | Metric | Value |
27
  |-----------------|---------|
28
+ | Val Bce Loss | 0.6905 |
29
+ | Val Dice Loss | 0.5953 |
30
+ | Val Focal Loss | 0.0794 |
31
+ | Val Mask Loss | 0.6826 |
32
+ | Val Total Loss | 0.6826 |
33
  | Val Iou | 0.6 |
34
  | Val Dice | 0.6 |
35
  | Val F1 | 0.6 |
36
  | Val Pixel F1 | 0.6 |
37
+ | Val Auroc | 0.797 |
38
+ | Val Pixel Auroc | 0.797 |
39
  | Val Pixel Acc | 0.6 |
40
  | Val Precision | 0.6 |
41
  | Val Recall | 0.6 |
 
53
  | 2 | 0.8813 | 0.9076 | 0.0129 | 0.0254 | 0.5057 | 0.0143 | 0.000251 |
54
  | 3 | 0.6155 | 0.6859 | 0.1782 | 0.2147 | 0.6987 | 0.416 | 0.000147 |
55
  | 4 | 0.7411 | 0.6793 | 0.6 | 0.6 | 0.7932 | 0.6 | 0.001 |
56
+ | 5 | 0.6793 | 0.6816 | 0.6 | 0.6 | 0.7959 | 0.6 | 6.79e-05 |
57
+ | 6 | 0.6755 | 0.6826 | 0.6 | 0.6 | 0.797 | 0.6 | 1e-06 |
58
 
59
  ### Per-Subset Metrics Breakdown
60
 
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26
  | Metric | Value |
27
  |------------------|---------|
28
- | Test Bce Loss | 0.6941 |
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  | Test Recall | 0.5 |
 
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26
  | Metric | Value |
27
  |------------------|---------|
28
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@@ -25,17 +25,17 @@
25
 
26
  | Metric | Value |
27
  |-----------------|---------|
28
- | Val Bce Loss | 0.6883 |
29
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- | Val Focal Loss | 0.0807 |
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  | 2 | 0.8813 | 0.9076 | 0.0129 | 0.0254 | 0.5057 | 0.0143 | 0.000251 |
54
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55
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56
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57
 
58
  ### Per-Subset Metrics Breakdown
59
 
 
25
 
26
  | Metric | Value |
27
  |-----------------|---------|
28
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29
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40
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41
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53
  | 2 | 0.8813 | 0.9076 | 0.0129 | 0.0254 | 0.5057 | 0.0143 | 0.000251 |
54
  | 3 | 0.6155 | 0.6859 | 0.1782 | 0.2147 | 0.6987 | 0.416 | 0.000147 |
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  | 4 | 0.7411 | 0.6793 | 0.6 | 0.6 | 0.7932 | 0.6 | 0.001 |
56
+ | 5 | 0.6793 | 0.6816 | 0.6 | 0.6 | 0.7959 | 0.6 | 6.79e-05 |
57
+ | 6 | 0.6755 | 0.6826 | 0.6 | 0.6 | 0.797 | 0.6 | 1e-06 |
58
 
59
  ### Per-Subset Metrics Breakdown
60
 
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