feat(release): final training report and checkpoints for KhangTruong/Testing-model (v1)
Browse files- README.md +1 -1
- checkpoints/checkpoint_latest.pt +2 -2
- checkpoints/checkpoint_latest_config.yaml +3 -3
- checkpoints/checkpoint_periodic.pt +2 -2
- checkpoints/checkpoint_periodic_config.yaml +3 -3
- checkpoints/effective_config.yaml +3 -3
- config.yaml +3 -3
- manifest.json +3 -3
- reports/test_evaluation_report.json +38 -38
- reports/test_evaluation_report.md +20 -20
- reports/training_curves.jpg +2 -2
- reports/training_curves.pdf +0 -0
- reports/training_curves.png +2 -2
- reports/training_final_report.json +135 -89
- reports/training_final_report.md +22 -21
- reports/training_history.csv +2 -1
- reports/training_history.json +81 -35
- versions/v1/checkpoint_latest_config.yaml +3 -3
- versions/v1/checkpoint_periodic_config.yaml +3 -3
- versions/v1/checkpoints/checkpoint_latest.pt +2 -2
- versions/v1/checkpoints/checkpoint_periodic.pt +2 -2
- versions/v1/effective_config.yaml +3 -3
- versions/v1/manifest.json +3 -3
- versions/v1/reports/test_evaluation_report.json +38 -38
- versions/v1/reports/test_evaluation_report.md +20 -20
- versions/v1/reports/training_curves.jpg +2 -2
- versions/v1/reports/training_curves.pdf +0 -0
- versions/v1/reports/training_curves.png +2 -2
- versions/v1/reports/training_final_report.json +135 -89
- versions/v1/reports/training_final_report.md +22 -21
- versions/v1/reports/training_history.csv +2 -1
- versions/v1/reports/training_history.json +81 -35
README.md
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@@ -22,7 +22,7 @@ Official repository for **Testing-model** checkpoints, evaluated on AI-generated
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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:** `
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---
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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:** `4`
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---
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checkpoints/checkpoint_latest.pt
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checkpoints/checkpoint_latest_config.yaml
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@@ -2,12 +2,12 @@ project:
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name: test_smoke
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seed: 42
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device: cpu
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output_dir:
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hub_repo: null
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data:
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dataset_name: KhangTruong/IMD2020
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streaming:
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image_size:
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- 32
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aux_loss_type: cross_entropy
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training:
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optimizer: adamw
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name: test_smoke
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seed: 42
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device: cpu
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optimizer: adamw
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checkpoints/checkpoint_periodic.pt
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checkpoints/checkpoint_periodic_config.yaml
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@@ -2,12 +2,12 @@ project:
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name: test_smoke
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seed: 42
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device: cpu
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dataset_name: KhangTruong/IMD2020
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image_size:
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aux_loss_type: cross_entropy
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aux_weight: 0.2
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training:
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weight_decay: 0.0001
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optimizer: adamw
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name: test_smoke
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seed: 42
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device: cpu
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hub_repo: null
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resume_repo: null
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data:
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dataset_name: KhangTruong/IMD2020
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streaming: false
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image_size:
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- 32
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- 32
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aux_loss_type: cross_entropy
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aux_weight: 0.2
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training:
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+
epochs: 1
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learning_rate: 0.001
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weight_decay: 0.0001
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optimizer: adamw
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checkpoints/effective_config.yaml
CHANGED
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@@ -2,12 +2,12 @@ project:
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name: test_smoke
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seed: 42
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device: cpu
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output_dir:
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data:
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dataset_name: KhangTruong/IMD2020
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streaming:
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image_size:
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- 32
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- 32
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aux_loss_type: cross_entropy
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aux_weight: 0.2
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training:
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-
epochs:
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learning_rate: 0.001
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weight_decay: 0.0001
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optimizer: adamw
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name: test_smoke
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seed: 42
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device: cpu
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output_dir: /tmp/tmprsobsoue/out/RUN/test_smoke
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hub_repo: null
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resume_repo: null
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data:
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dataset_name: KhangTruong/IMD2020
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image_size:
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aux_loss_type: cross_entropy
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aux_weight: 0.2
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training:
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learning_rate: 0.001
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weight_decay: 0.0001
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optimizer: adamw
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config.yaml
CHANGED
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@@ -2,12 +2,12 @@ project:
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name: test_smoke
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seed: 42
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device: cpu
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- 32
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- 32
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aux_loss_type: cross_entropy
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aux_weight: 0.2
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training:
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-
epochs:
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learning_rate: 0.001
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weight_decay: 0.0001
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optimizer: adamw
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name: test_smoke
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seed: 42
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device: cpu
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resume_repo: null
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data:
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aux_loss_type: cross_entropy
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training:
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learning_rate: 0.001
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optimizer: adamw
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manifest.json
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@@ -7,9 +7,9 @@
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"version": "v1",
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"best_score": "0.6",
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"best_epoch": "1",
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"best_score": "0.6",
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reports/test_evaluation_report.json
CHANGED
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"Epoch Limit / Steps": "2 samples/epoch",
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| 206 |
"Post-Processing": "Enabled (min_area=64, fill_holes=True, morph=open_close)",
|
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"Optimizer": "adamw (lr=0.001, wd=0.0001)",
|
| 208 |
"Scheduler": "cosine",
|
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+
"Epochs": 1,
|
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"AMP": false
|
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}
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}
|
reports/test_evaluation_report.md
CHANGED
|
@@ -7,7 +7,7 @@
|
|
| 7 |
| Project Name | test_smoke |
|
| 8 |
| Dataset | KhangTruong/IMD2020 |
|
| 9 |
| Splits | Train: 'train' | Val: 'validation' | Test: 'test' |
|
| 10 |
-
| Streaming |
|
| 11 |
| Image Size | [32, 32] |
|
| 12 |
| Batch Size | 16 |
|
| 13 |
| Epoch Limit / Steps | 2 samples/epoch |
|
|
@@ -18,34 +18,34 @@
|
|
| 18 |
| Post-Processing | Enabled (min_area=64, fill_holes=True, morph=open_close) |
|
| 19 |
| Optimizer | adamw (lr=0.001, wd=0.0001) |
|
| 20 |
| Scheduler | cosine |
|
| 21 |
-
| Epochs |
|
| 22 |
| AMP | False |
|
| 23 |
|
| 24 |
### Overall Segmentation & Classification Metrics
|
| 25 |
|
| 26 |
| Metric | Value |
|
| 27 |
|------------------|---------|
|
| 28 |
-
| Test Bce Loss | 0.
|
| 29 |
-
| Test Dice Loss | 0.
|
| 30 |
-
| Test Focal Loss | 0.
|
| 31 |
-
| Test Mask Loss | 0.
|
| 32 |
-
| Test Total Loss | 0.
|
| 33 |
-
| Test Iou | 0.
|
| 34 |
-
| Test Dice | 0.
|
| 35 |
-
| Test F1 | 0.
|
| 36 |
-
| Test Pixel F1 | 0.
|
| 37 |
-
| Test Auroc | 0.
|
| 38 |
-
| Test Pixel Auroc | 0.
|
| 39 |
-
| Test Pixel Acc | 0.
|
| 40 |
-
| Test Precision | 0.
|
| 41 |
-
| Test Recall |
|
| 42 |
-
| Test Specificity |
|
| 43 |
|
| 44 |
### Per-Subset Metrics Breakdown
|
| 45 |
|
| 46 |
| Subset | Mean IoU | Dice / F1 | Pixel Accuracy | Sample Count |
|
| 47 |
|-----------------------------------|------------|-------------|------------------|----------------|
|
| 48 |
-
| Label 0 (Real / Black Mask) |
|
| 49 |
-
| Label 1 (Synthetic / White Mask) |
|
| 50 |
-
| Label 2 (Tampered / Partial Mask) |
|
| 51 |
|
|
|
|
| 7 |
| Project Name | test_smoke |
|
| 8 |
| Dataset | KhangTruong/IMD2020 |
|
| 9 |
| Splits | Train: 'train' | Val: 'validation' | Test: 'test' |
|
| 10 |
+
| Streaming | False |
|
| 11 |
| Image Size | [32, 32] |
|
| 12 |
| Batch Size | 16 |
|
| 13 |
| Epoch Limit / Steps | 2 samples/epoch |
|
|
|
|
| 18 |
| Post-Processing | Enabled (min_area=64, fill_holes=True, morph=open_close) |
|
| 19 |
| Optimizer | adamw (lr=0.001, wd=0.0001) |
|
| 20 |
| Scheduler | cosine |
|
| 21 |
+
| Epochs | 1 |
|
| 22 |
| AMP | False |
|
| 23 |
|
| 24 |
### Overall Segmentation & Classification Metrics
|
| 25 |
|
| 26 |
| Metric | Value |
|
| 27 |
|------------------|---------|
|
| 28 |
+
| Test Bce Loss | 0.6933 |
|
| 29 |
+
| Test Dice Loss | 0.6693 |
|
| 30 |
+
| Test Focal Loss | 0.0843 |
|
| 31 |
+
| Test Mask Loss | 0.7234 |
|
| 32 |
+
| Test Total Loss | 0.7234 |
|
| 33 |
+
| Test Iou | 0.5 |
|
| 34 |
+
| Test Dice | 0.5 |
|
| 35 |
+
| Test F1 | 0.5 |
|
| 36 |
+
| Test Pixel F1 | 0.5 |
|
| 37 |
+
| Test Auroc | 0.7458 |
|
| 38 |
+
| Test Pixel Auroc | 0.7458 |
|
| 39 |
+
| Test Pixel Acc | 0.5 |
|
| 40 |
+
| Test Precision | 0.5 |
|
| 41 |
+
| Test Recall | 0.5 |
|
| 42 |
+
| Test Specificity | 1 |
|
| 43 |
|
| 44 |
### Per-Subset Metrics Breakdown
|
| 45 |
|
| 46 |
| Subset | Mean IoU | Dice / F1 | Pixel Accuracy | Sample Count |
|
| 47 |
|-----------------------------------|------------|-------------|------------------|----------------|
|
| 48 |
+
| Label 0 (Real / Black Mask) | 1 | 1 | 1 | 1 |
|
| 49 |
+
| Label 1 (Synthetic / White Mask) | 0 | 0 | 0 | 1 |
|
| 50 |
+
| Label 2 (Tampered / Partial Mask) | 0 | 0 | 0 | 0 |
|
| 51 |
|
reports/training_curves.jpg
CHANGED
|
Git LFS Details
|
|
Git LFS Details
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reports/training_curves.pdf
CHANGED
|
Binary files a/reports/training_curves.pdf and b/reports/training_curves.pdf differ
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|
|
reports/training_curves.png
CHANGED
|
Git LFS Details
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|
Git LFS Details
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reports/training_final_report.json
CHANGED
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@@ -1,63 +1,63 @@
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| 1 |
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|
@@ -153,48 +153,94 @@
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| 155 |
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|
@@ -203,13 +249,13 @@
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|
| 203 |
"name": "test_smoke",
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| 204 |
"seed": 42,
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| 205 |
"device": "cpu",
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| 206 |
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"output_dir": "
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| 208 |
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| 209 |
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| 210 |
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| 211 |
"dataset_name": "KhangTruong/IMD2020",
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| 212 |
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"streaming":
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| 213 |
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| 214 |
32,
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| 215 |
32
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|
@@ -262,7 +308,7 @@
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|
| 262 |
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| 263 |
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| 264 |
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| 266 |
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| 267 |
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| 268 |
"optimizer": "adamw",
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|
@@ -336,7 +382,7 @@
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|
| 336 |
"Project Name": "test_smoke",
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| 337 |
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| 338 |
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| 339 |
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"Streaming":
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| 340 |
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| 341 |
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| 342 |
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@@ -347,7 +393,7 @@
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| 347 |
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| 348 |
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"val_pixel_acc": 0.4001953125,
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"val_precision": 0.5,
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| 218 |
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"val_recall": 0.1060546875,
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| 219 |
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| 220 |
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| 221 |
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"bce_loss": 0.5406668186187744,
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"dice_loss": 0.6371999382972717,
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"focal_loss": 0.046471141278743744,
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"total_loss": 0.6121689081192017,
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"iou": 0.44873046875
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|
| 244 |
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| 245 |
}
|
| 246 |
],
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|
|
|
| 249 |
"name": "test_smoke",
|
| 250 |
"seed": 42,
|
| 251 |
"device": "cpu",
|
| 252 |
+
"output_dir": "/tmp/tmprsobsoue/out/RUN/test_smoke",
|
| 253 |
"hub_repo": null,
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| 254 |
"resume_repo": null
|
| 255 |
},
|
| 256 |
"data": {
|
| 257 |
"dataset_name": "KhangTruong/IMD2020",
|
| 258 |
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"streaming": false,
|
| 259 |
"image_size": [
|
| 260 |
32,
|
| 261 |
32
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|
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| 308 |
"aux_weight": 0.2
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| 309 |
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| 310 |
"training": {
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| 311 |
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"epochs": 1,
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| 312 |
"learning_rate": 0.001,
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| 313 |
"weight_decay": 0.0001,
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| 314 |
"optimizer": "adamw",
|
|
|
|
| 382 |
"Project Name": "test_smoke",
|
| 383 |
"Dataset": "KhangTruong/IMD2020",
|
| 384 |
"Splits": "Train: 'train' | Val: 'validation' | Test: 'test'",
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| 385 |
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"Streaming": false,
|
| 386 |
"Image Size": "[32, 32]",
|
| 387 |
"Batch Size": 16,
|
| 388 |
"Epoch Limit / Steps": "2 samples/epoch",
|
|
|
|
| 393 |
"Post-Processing": "Enabled (min_area=64, fill_holes=True, morph=open_close)",
|
| 394 |
"Optimizer": "adamw (lr=0.001, wd=0.0001)",
|
| 395 |
"Scheduler": "cosine",
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| 396 |
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"Epochs": 1,
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| 397 |
"AMP": false
|
| 398 |
}
|
| 399 |
}
|
reports/training_final_report.md
CHANGED
|
@@ -7,7 +7,7 @@
|
|
| 7 |
| Project Name | test_smoke |
|
| 8 |
| Dataset | KhangTruong/IMD2020 |
|
| 9 |
| Splits | Train: 'train' | Val: 'validation' | Test: 'test' |
|
| 10 |
-
| Streaming |
|
| 11 |
| Image Size | [32, 32] |
|
| 12 |
| Batch Size | 16 |
|
| 13 |
| Epoch Limit / Steps | 2 samples/epoch |
|
|
@@ -18,28 +18,28 @@
|
|
| 18 |
| Post-Processing | Enabled (min_area=64, fill_holes=True, morph=open_close) |
|
| 19 |
| Optimizer | adamw (lr=0.001, wd=0.0001) |
|
| 20 |
| Scheduler | cosine |
|
| 21 |
-
| Epochs |
|
| 22 |
| AMP | False |
|
| 23 |
|
| 24 |
### Overall Segmentation & Classification Metrics
|
| 25 |
|
| 26 |
| Metric | Value |
|
| 27 |
|-----------------|---------|
|
| 28 |
-
| Val Bce Loss | 0.
|
| 29 |
-
| Val Dice Loss | 0.
|
| 30 |
-
| Val Focal Loss | 0.
|
| 31 |
-
| Val Mask Loss | 0.
|
| 32 |
-
| Val Total Loss | 0.
|
| 33 |
-
| Val Iou | 0.
|
| 34 |
-
| Val Dice | 0.
|
| 35 |
-
| Val F1 | 0.
|
| 36 |
-
| Val Pixel F1 | 0.
|
| 37 |
-
| Val Auroc | 0.
|
| 38 |
-
| Val Pixel Auroc | 0.
|
| 39 |
-
| Val Pixel Acc | 0.
|
| 40 |
-
| Val Precision | 0.
|
| 41 |
-
| Val Recall | 0.
|
| 42 |
-
| Val Specificity | 0.
|
| 43 |
|
| 44 |
### Training & Validation Curves
|
| 45 |
|
|
@@ -51,13 +51,14 @@
|
|
| 51 |
|---------|--------------|------------|-----------|----------|-------------|-----------------|-----------------|
|
| 52 |
| 1 | 0.6793 | 0.6806 | 0.6 | 0.6 | 0.7947 | 0.6 | 0.001 |
|
| 53 |
| 2 | 0.8813 | 0.9076 | 0.0129 | 0.0254 | 0.5057 | 0.0143 | 0.000251 |
|
| 54 |
-
| 3 | 0.
|
|
|
|
| 55 |
|
| 56 |
### Per-Subset Metrics Breakdown
|
| 57 |
|
| 58 |
| Subset | Mean IoU | Dice / F1 | Pixel Accuracy | Sample Count |
|
| 59 |
|-----------------------------------|------------|-------------|------------------|----------------|
|
| 60 |
-
| Label 0 (Real / Black Mask) | 0
|
| 61 |
-
| Label 1 (Synthetic / White Mask) | 0
|
| 62 |
-
| Label 2 (Tampered / Partial Mask) | 0.
|
| 63 |
|
|
|
|
| 7 |
| Project Name | test_smoke |
|
| 8 |
| Dataset | KhangTruong/IMD2020 |
|
| 9 |
| Splits | Train: 'train' | Val: 'validation' | Test: 'test' |
|
| 10 |
+
| Streaming | False |
|
| 11 |
| Image Size | [32, 32] |
|
| 12 |
| Batch Size | 16 |
|
| 13 |
| Epoch Limit / Steps | 2 samples/epoch |
|
|
|
|
| 18 |
| Post-Processing | Enabled (min_area=64, fill_holes=True, morph=open_close) |
|
| 19 |
| Optimizer | adamw (lr=0.001, wd=0.0001) |
|
| 20 |
| Scheduler | cosine |
|
| 21 |
+
| Epochs | 1 |
|
| 22 |
| AMP | False |
|
| 23 |
|
| 24 |
### Overall Segmentation & Classification Metrics
|
| 25 |
|
| 26 |
| Metric | Value |
|
| 27 |
|-----------------|---------|
|
| 28 |
+
| Val Bce Loss | 0.6954 |
|
| 29 |
+
| Val Dice Loss | 0.6022 |
|
| 30 |
+
| Val Focal Loss | 0.077 |
|
| 31 |
+
| Val Mask Loss | 0.6873 |
|
| 32 |
+
| Val Total Loss | 0.6873 |
|
| 33 |
+
| Val Iou | 0.1061 |
|
| 34 |
+
| Val Dice | 0.1118 |
|
| 35 |
+
| Val F1 | 0.1118 |
|
| 36 |
+
| Val Pixel F1 | 0.1118 |
|
| 37 |
+
| Val Auroc | 0.6965 |
|
| 38 |
+
| Val Pixel Auroc | 0.6965 |
|
| 39 |
+
| Val Pixel Acc | 0.4002 |
|
| 40 |
+
| Val Precision | 0.5 |
|
| 41 |
+
| Val Recall | 0.1061 |
|
| 42 |
+
| Val Specificity | 0.9941 |
|
| 43 |
|
| 44 |
### Training & Validation Curves
|
| 45 |
|
|
|
|
| 51 |
|---------|--------------|------------|-----------|----------|-------------|-----------------|-----------------|
|
| 52 |
| 1 | 0.6793 | 0.6806 | 0.6 | 0.6 | 0.7947 | 0.6 | 0.001 |
|
| 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 | 0.6122 | 0.6873 | 0.1061 | 0.1118 | 0.6965 | 0.4002 | 1e-06 |
|
| 56 |
|
| 57 |
### Per-Subset Metrics Breakdown
|
| 58 |
|
| 59 |
| Subset | Mean IoU | Dice / F1 | Pixel Accuracy | Sample Count |
|
| 60 |
|-----------------------------------|------------|-------------|------------------|----------------|
|
| 61 |
+
| Label 0 (Real / Black Mask) | 0.25 | 0.25 | 0.9854 | 4 |
|
| 62 |
+
| Label 1 (Synthetic / White Mask) | 0.0088 | 0.0172 | 0.0088 | 3 |
|
| 63 |
+
| Label 2 (Tampered / Partial Mask) | 0.0114 | 0.0223 | 0.0114 | 3 |
|
| 64 |
|
reports/training_history.csv
CHANGED
|
@@ -1,4 +1,5 @@
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|
| 1 |
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| 3 |
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| 4 |
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|
| 1 |
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reports/training_history.json
CHANGED
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@@ -93,48 +93,94 @@
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| 93 |
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| 45 |
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| 46 |
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| 47 |
"iou": 0.0,
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}
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"configuration": {
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"name": "test_smoke",
|
| 63 |
"seed": 42,
|
| 64 |
"device": "cpu",
|
| 65 |
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| 66 |
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| 67 |
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| 68 |
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|
| 69 |
"data": {
|
| 70 |
"dataset_name": "KhangTruong/IMD2020",
|
| 71 |
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"streaming": false,
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| 72 |
"image_size": [
|
| 73 |
32,
|
| 74 |
32
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|
| 121 |
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| 122 |
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| 123 |
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| 125 |
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|
| 126 |
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| 127 |
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|
| 195 |
"Project Name": "test_smoke",
|
| 196 |
"Dataset": "KhangTruong/IMD2020",
|
| 197 |
"Splits": "Train: 'train' | Val: 'validation' | Test: 'test'",
|
| 198 |
+
"Streaming": false,
|
| 199 |
"Image Size": "[32, 32]",
|
| 200 |
"Batch Size": 16,
|
| 201 |
"Epoch Limit / Steps": "2 samples/epoch",
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|
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|
| 206 |
"Post-Processing": "Enabled (min_area=64, fill_holes=True, morph=open_close)",
|
| 207 |
"Optimizer": "adamw (lr=0.001, wd=0.0001)",
|
| 208 |
"Scheduler": "cosine",
|
| 209 |
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|
| 210 |
"AMP": false
|
| 211 |
}
|
| 212 |
}
|
versions/v1/reports/test_evaluation_report.md
CHANGED
|
@@ -7,7 +7,7 @@
|
|
| 7 |
| Project Name | test_smoke |
|
| 8 |
| Dataset | KhangTruong/IMD2020 |
|
| 9 |
| Splits | Train: 'train' | Val: 'validation' | Test: 'test' |
|
| 10 |
-
| Streaming |
|
| 11 |
| Image Size | [32, 32] |
|
| 12 |
| Batch Size | 16 |
|
| 13 |
| Epoch Limit / Steps | 2 samples/epoch |
|
|
@@ -18,34 +18,34 @@
|
|
| 18 |
| Post-Processing | Enabled (min_area=64, fill_holes=True, morph=open_close) |
|
| 19 |
| Optimizer | adamw (lr=0.001, wd=0.0001) |
|
| 20 |
| Scheduler | cosine |
|
| 21 |
-
| Epochs |
|
| 22 |
| AMP | False |
|
| 23 |
|
| 24 |
### Overall Segmentation & Classification Metrics
|
| 25 |
|
| 26 |
| Metric | Value |
|
| 27 |
|------------------|---------|
|
| 28 |
-
| Test Bce Loss | 0.
|
| 29 |
-
| Test Dice Loss | 0.
|
| 30 |
-
| Test Focal Loss | 0.
|
| 31 |
-
| Test Mask Loss | 0.
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| 32 |
-
| Test Total Loss | 0.
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| 33 |
-
| Test Iou | 0.
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| 34 |
-
| Test Dice | 0.
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| 35 |
-
| Test F1 | 0.
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| 36 |
-
| Test Pixel F1 | 0.
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| 37 |
-
| Test Auroc | 0.
|
| 38 |
-
| Test Pixel Auroc | 0.
|
| 39 |
-
| Test Pixel Acc | 0.
|
| 40 |
-
| Test Precision | 0.
|
| 41 |
-
| Test Recall |
|
| 42 |
-
| Test Specificity |
|
| 43 |
|
| 44 |
### Per-Subset Metrics Breakdown
|
| 45 |
|
| 46 |
| Subset | Mean IoU | Dice / F1 | Pixel Accuracy | Sample Count |
|
| 47 |
|-----------------------------------|------------|-------------|------------------|----------------|
|
| 48 |
-
| Label 0 (Real / Black Mask) |
|
| 49 |
-
| Label 1 (Synthetic / White Mask) |
|
| 50 |
-
| Label 2 (Tampered / Partial Mask) |
|
| 51 |
|
|
|
|
| 7 |
| Project Name | test_smoke |
|
| 8 |
| Dataset | KhangTruong/IMD2020 |
|
| 9 |
| Splits | Train: 'train' | Val: 'validation' | Test: 'test' |
|
| 10 |
+
| Streaming | False |
|
| 11 |
| Image Size | [32, 32] |
|
| 12 |
| Batch Size | 16 |
|
| 13 |
| Epoch Limit / Steps | 2 samples/epoch |
|
|
|
|
| 18 |
| Post-Processing | Enabled (min_area=64, fill_holes=True, morph=open_close) |
|
| 19 |
| Optimizer | adamw (lr=0.001, wd=0.0001) |
|
| 20 |
| Scheduler | cosine |
|
| 21 |
+
| Epochs | 1 |
|
| 22 |
| AMP | False |
|
| 23 |
|
| 24 |
### Overall Segmentation & Classification Metrics
|
| 25 |
|
| 26 |
| Metric | Value |
|
| 27 |
|------------------|---------|
|
| 28 |
+
| Test Bce Loss | 0.6933 |
|
| 29 |
+
| Test Dice Loss | 0.6693 |
|
| 30 |
+
| Test Focal Loss | 0.0843 |
|
| 31 |
+
| Test Mask Loss | 0.7234 |
|
| 32 |
+
| Test Total Loss | 0.7234 |
|
| 33 |
+
| Test Iou | 0.5 |
|
| 34 |
+
| Test Dice | 0.5 |
|
| 35 |
+
| Test F1 | 0.5 |
|
| 36 |
+
| Test Pixel F1 | 0.5 |
|
| 37 |
+
| Test Auroc | 0.7458 |
|
| 38 |
+
| Test Pixel Auroc | 0.7458 |
|
| 39 |
+
| Test Pixel Acc | 0.5 |
|
| 40 |
+
| Test Precision | 0.5 |
|
| 41 |
+
| Test Recall | 0.5 |
|
| 42 |
+
| Test Specificity | 1 |
|
| 43 |
|
| 44 |
### Per-Subset Metrics Breakdown
|
| 45 |
|
| 46 |
| Subset | Mean IoU | Dice / F1 | Pixel Accuracy | Sample Count |
|
| 47 |
|-----------------------------------|------------|-------------|------------------|----------------|
|
| 48 |
+
| Label 0 (Real / Black Mask) | 1 | 1 | 1 | 1 |
|
| 49 |
+
| Label 1 (Synthetic / White Mask) | 0 | 0 | 0 | 1 |
|
| 50 |
+
| Label 2 (Tampered / Partial Mask) | 0 | 0 | 0 | 0 |
|
| 51 |
|
versions/v1/reports/training_curves.jpg
CHANGED
|
Git LFS Details
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|
Git LFS Details
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versions/v1/reports/training_curves.pdf
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Binary files a/versions/v1/reports/training_curves.pdf and b/versions/v1/reports/training_curves.pdf differ
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versions/v1/reports/training_curves.png
CHANGED
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Git LFS Details
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Git LFS Details
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versions/v1/reports/training_final_report.json
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{
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@@ -153,48 +153,94 @@
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| 154 |
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| 155 |
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|
@@ -203,13 +249,13 @@
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|
| 203 |
"name": "test_smoke",
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| 204 |
"seed": 42,
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| 205 |
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| 212 |
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"streaming":
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| 213 |
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| 214 |
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| 215 |
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|
@@ -262,7 +308,7 @@
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|
| 262 |
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| 264 |
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@@ -336,7 +382,7 @@
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|
| 336 |
"Project Name": "test_smoke",
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| 337 |
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| 338 |
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| 339 |
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"Streaming":
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@@ -347,7 +393,7 @@
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| 347 |
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| 348 |
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| 249 |
"name": "test_smoke",
|
| 250 |
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|
| 251 |
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| 252 |
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"output_dir": "/tmp/tmprsobsoue/out/RUN/test_smoke",
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"streaming": false,
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| 382 |
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| 383 |
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"Streaming": false,
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| 393 |
"Post-Processing": "Enabled (min_area=64, fill_holes=True, morph=open_close)",
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versions/v1/reports/training_final_report.md
CHANGED
|
@@ -7,7 +7,7 @@
|
|
| 7 |
| Project Name | test_smoke |
|
| 8 |
| Dataset | KhangTruong/IMD2020 |
|
| 9 |
| Splits | Train: 'train' | Val: 'validation' | Test: 'test' |
|
| 10 |
-
| Streaming |
|
| 11 |
| Image Size | [32, 32] |
|
| 12 |
| Batch Size | 16 |
|
| 13 |
| Epoch Limit / Steps | 2 samples/epoch |
|
|
@@ -18,28 +18,28 @@
|
|
| 18 |
| Post-Processing | Enabled (min_area=64, fill_holes=True, morph=open_close) |
|
| 19 |
| Optimizer | adamw (lr=0.001, wd=0.0001) |
|
| 20 |
| Scheduler | cosine |
|
| 21 |
-
| Epochs |
|
| 22 |
| AMP | False |
|
| 23 |
|
| 24 |
### Overall Segmentation & Classification Metrics
|
| 25 |
|
| 26 |
| Metric | Value |
|
| 27 |
|-----------------|---------|
|
| 28 |
-
| Val Bce Loss | 0.
|
| 29 |
-
| Val Dice Loss | 0.
|
| 30 |
-
| Val Focal Loss | 0.
|
| 31 |
-
| Val Mask Loss | 0.
|
| 32 |
-
| Val Total Loss | 0.
|
| 33 |
-
| Val Iou | 0.
|
| 34 |
-
| Val Dice | 0.
|
| 35 |
-
| Val F1 | 0.
|
| 36 |
-
| Val Pixel F1 | 0.
|
| 37 |
-
| Val Auroc | 0.
|
| 38 |
-
| Val Pixel Auroc | 0.
|
| 39 |
-
| Val Pixel Acc | 0.
|
| 40 |
-
| Val Precision | 0.
|
| 41 |
-
| Val Recall | 0.
|
| 42 |
-
| Val Specificity | 0.
|
| 43 |
|
| 44 |
### Training & Validation Curves
|
| 45 |
|
|
@@ -51,13 +51,14 @@
|
|
| 51 |
|---------|--------------|------------|-----------|----------|-------------|-----------------|-----------------|
|
| 52 |
| 1 | 0.6793 | 0.6806 | 0.6 | 0.6 | 0.7947 | 0.6 | 0.001 |
|
| 53 |
| 2 | 0.8813 | 0.9076 | 0.0129 | 0.0254 | 0.5057 | 0.0143 | 0.000251 |
|
| 54 |
-
| 3 | 0.
|
|
|
|
| 55 |
|
| 56 |
### Per-Subset Metrics Breakdown
|
| 57 |
|
| 58 |
| Subset | Mean IoU | Dice / F1 | Pixel Accuracy | Sample Count |
|
| 59 |
|-----------------------------------|------------|-------------|------------------|----------------|
|
| 60 |
-
| Label 0 (Real / Black Mask) | 0
|
| 61 |
-
| Label 1 (Synthetic / White Mask) | 0
|
| 62 |
-
| Label 2 (Tampered / Partial Mask) | 0.
|
| 63 |
|
|
|
|
| 7 |
| Project Name | test_smoke |
|
| 8 |
| Dataset | KhangTruong/IMD2020 |
|
| 9 |
| Splits | Train: 'train' | Val: 'validation' | Test: 'test' |
|
| 10 |
+
| Streaming | False |
|
| 11 |
| Image Size | [32, 32] |
|
| 12 |
| Batch Size | 16 |
|
| 13 |
| Epoch Limit / Steps | 2 samples/epoch |
|
|
|
|
| 18 |
| Post-Processing | Enabled (min_area=64, fill_holes=True, morph=open_close) |
|
| 19 |
| Optimizer | adamw (lr=0.001, wd=0.0001) |
|
| 20 |
| Scheduler | cosine |
|
| 21 |
+
| Epochs | 1 |
|
| 22 |
| AMP | False |
|
| 23 |
|
| 24 |
### Overall Segmentation & Classification Metrics
|
| 25 |
|
| 26 |
| Metric | Value |
|
| 27 |
|-----------------|---------|
|
| 28 |
+
| Val Bce Loss | 0.6954 |
|
| 29 |
+
| Val Dice Loss | 0.6022 |
|
| 30 |
+
| Val Focal Loss | 0.077 |
|
| 31 |
+
| Val Mask Loss | 0.6873 |
|
| 32 |
+
| Val Total Loss | 0.6873 |
|
| 33 |
+
| Val Iou | 0.1061 |
|
| 34 |
+
| Val Dice | 0.1118 |
|
| 35 |
+
| Val F1 | 0.1118 |
|
| 36 |
+
| Val Pixel F1 | 0.1118 |
|
| 37 |
+
| Val Auroc | 0.6965 |
|
| 38 |
+
| Val Pixel Auroc | 0.6965 |
|
| 39 |
+
| Val Pixel Acc | 0.4002 |
|
| 40 |
+
| Val Precision | 0.5 |
|
| 41 |
+
| Val Recall | 0.1061 |
|
| 42 |
+
| Val Specificity | 0.9941 |
|
| 43 |
|
| 44 |
### Training & Validation Curves
|
| 45 |
|
|
|
|
| 51 |
|---------|--------------|------------|-----------|----------|-------------|-----------------|-----------------|
|
| 52 |
| 1 | 0.6793 | 0.6806 | 0.6 | 0.6 | 0.7947 | 0.6 | 0.001 |
|
| 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 | 0.6122 | 0.6873 | 0.1061 | 0.1118 | 0.6965 | 0.4002 | 1e-06 |
|
| 56 |
|
| 57 |
### Per-Subset Metrics Breakdown
|
| 58 |
|
| 59 |
| Subset | Mean IoU | Dice / F1 | Pixel Accuracy | Sample Count |
|
| 60 |
|-----------------------------------|------------|-------------|------------------|----------------|
|
| 61 |
+
| Label 0 (Real / Black Mask) | 0.25 | 0.25 | 0.9854 | 4 |
|
| 62 |
+
| Label 1 (Synthetic / White Mask) | 0.0088 | 0.0172 | 0.0088 | 3 |
|
| 63 |
+
| Label 2 (Tampered / Partial Mask) | 0.0114 | 0.0223 | 0.0114 | 3 |
|
| 64 |
|
versions/v1/reports/training_history.csv
CHANGED
|
@@ -1,4 +1,5 @@
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|
| 1 |
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| 4 |
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| 1 |
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versions/v1/reports/training_history.json
CHANGED
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@@ -93,48 +93,94 @@
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| 93 |
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| 95 |
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