Instructions to use BDRC/gyuyig-tsugdri-binary-script-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BDRC/gyuyig-tsugdri-binary-script-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BDRC/gyuyig-tsugdri-binary-script-classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BDRC/gyuyig-tsugdri-binary-script-classifier", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update Gyuyig vs Tsugdri binary classifier: center_crop 224 metrics, confusion matrix, training history
Browse files- README.md +29 -29
- config.yaml +6 -5
- confusion_matrix.json +19 -19
- confusion_matrix.png +0 -0
- final_model.pt +1 -1
- model_card.json +21 -21
- results.json +174 -240
- training_history.png +0 -0
README.md
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@@ -25,11 +25,11 @@ Fine-tuned [DINOv3 ViT-S](https://huggingface.co/facebook/dinov3-vits16-pretrain
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**Gyuyig**, **Tsugdri**
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**Experiment:** `
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**Pooling:** ViT **CLS token** (`last_hidden_state[:, 0, :]`)
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**Weights:** `final_model.pt` (best validation macro-F1 across stages A/B/C)
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**Warm-start:** [BDRC/4-class-balanced-script-classifier](https://huggingface.co/BDRC/4-class-balanced-script-classifier) (`final_model.pt` — prior test acc
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## Data
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| Split | Mode | Size |
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|-------|------|-----:|
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| train | `
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| val | `
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| test | `
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## Validation metrics (n=60)
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| Metric | Value |
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|--------|------:|
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| Accuracy |
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| Macro F1 | 0.
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| Weighted F1 | 0.
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| AUC-ROC | 0.
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| Loss | 0.
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**Best checkpoint:** `best_stage_c_last_blocks.pt` epoch
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### Per-class (validation)
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```
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precision recall f1-score support
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-
Gyuyig 0.
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Tsugdri 0.
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accuracy 0.
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macro avg 0.
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weighted avg 0.
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```
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## Test / benchmark metrics (n=120)
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| Metric | Value |
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|--------|------:|
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| Accuracy |
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| Macro F1 | 0.
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| Weighted F1 | 0.
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| AUC-ROC | 0.
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| Loss | 0.
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### Per-class (test)
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```
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precision recall f1-score support
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-
Gyuyig 0.
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Tsugdri 0.
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accuracy 0.
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macro avg 0.
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weighted avg 0.
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```
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## Training
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@@ -116,8 +116,8 @@ weighted avg 0.81 0.81 0.81 120
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| True \ Pred | Gyuyig | Tsugdri |
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|---|---:|---:|
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| **Gyuyig** |
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-
| **Tsugdri** |
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## Files
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```bash
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pip install -r requirements-inference.txt
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python inference.py --checkpoint final_model.pt --image path/to/page.jpg --preprocess resize_letterbox --preprocess-size
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```
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## Reproduce training
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**Gyuyig**, **Tsugdri**
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+
**Experiment:** `dinov3_gyuyig_tsugdri_binary` (`gyuyig_tsugdri_binary_classification`)
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**Pooling:** ViT **CLS token** (`last_hidden_state[:, 0, :]`)
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**Weights:** `final_model.pt` (best validation macro-F1 across stages A/B/C)
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+
**Warm-start:** [BDRC/4-class-balanced-script-classifier](https://huggingface.co/BDRC/4-class-balanced-script-classifier) (`final_model.pt` — prior test acc 92.1%, macro-F1 0.921)
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## Data
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| Split | Mode | Size |
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|-------|------|-----:|
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| train | `center_crop` | 224 |
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| val | `center_crop` | 224 |
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| test | `center_crop` | 224 |
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## Validation metrics (n=60)
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| Metric | Value |
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|--------|------:|
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| Accuracy | 91.7% |
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| Macro F1 | 0.916 |
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| Weighted F1 | 0.916 |
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| AUC-ROC | 0.931 |
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| 58 |
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| Loss | 0.3915 |
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**Best checkpoint:** `best_stage_c_last_blocks.pt` epoch 1 val macro-F1 0.916
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### Per-class (validation)
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```
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precision recall f1-score support
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+
Gyuyig 0.88 0.97 0.92 30
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+
Tsugdri 0.96 0.87 0.91 30
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accuracy 0.92 60
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macro avg 0.92 0.92 0.92 60
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weighted avg 0.92 0.92 0.92 60
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```
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## Test / benchmark metrics (n=120)
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| Metric | Value |
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|--------|------:|
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| Accuracy | 85.0% |
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+
| Macro F1 | 0.848 |
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| 81 |
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| Weighted F1 | 0.848 |
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| AUC-ROC | 0.930 |
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| 83 |
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| Loss | 0.4047 |
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### Per-class (test)
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```
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precision recall f1-score support
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+
Gyuyig 0.78 0.97 0.87 60
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+
Tsugdri 0.96 0.73 0.83 60
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+
accuracy 0.85 120
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macro avg 0.87 0.85 0.85 120
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weighted avg 0.87 0.85 0.85 120
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```
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## Training
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| True \ Pred | Gyuyig | Tsugdri |
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|---|---:|---:|
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+
| **Gyuyig** | 58 | 2 |
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+
| **Tsugdri** | 16 | 44 |
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## Files
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```bash
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pip install -r requirements-inference.txt
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python inference.py --checkpoint final_model.pt --image path/to/page.jpg --preprocess resize_letterbox --preprocess-size 224
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```
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## Reproduce training
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config.yaml
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-
experiment:
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task: gyuyig_tsugdri_binary_classification
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balanced_dataset_repo: BDRC/gyuyig-tsugdri-binary-balanced-script-classification-dataset
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val_ratio: 0.15
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warmstart_repo: BDRC/4-class-balanced-script-classifier
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warmstart_checkpoint_file: final_model.pt
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skip_stage_c: false
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gradient_checkpointing: true
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train_preprocess:
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val_preprocess:
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test_preprocess:
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preprocess_size:
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pooling: cls_token
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experiment: dinov3_gyuyig_tsugdri_binary
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task: gyuyig_tsugdri_binary_classification
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balanced_dataset_repo: BDRC/gyuyig-tsugdri-binary-balanced-script-classification-dataset
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val_ratio: 0.15
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+
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warmstart_repo: BDRC/4-class-balanced-script-classifier
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warmstart_checkpoint_file: final_model.pt
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skip_stage_c: false
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gradient_checkpointing: true
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train_preprocess: center_crop
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val_preprocess: center_crop
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test_preprocess: center_crop
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preprocess_size: 224
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pooling: cls_token
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confusion_matrix.json
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],
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"matrix": [
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[
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[
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"test_metrics": {
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"loss": 0.
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"macro_f1": 0.
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"weighted_f1": 0.
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"auc_roc": 0.
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"val_metrics": {
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"preprocess": {
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"train": "
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"val": "
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"test": "
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"size":
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"train_dataset": "BDRC/gyuyig-tsugdri-binary-balanced-script-classification-dataset",
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"benchmark_per_parent": 60,
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-
"experiment": "
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"repo_id": "BDRC/gyuyig-tsugdri-binary-script-classifier"
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}
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],
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"matrix": [
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[
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58,
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[
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16,
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"test_metrics": {
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"auc_roc": 0.9297222222222223
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"val_metrics": {
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"preprocess": {
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"train": "center_crop",
|
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"val": "center_crop",
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"test": "center_crop",
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"size": 224
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},
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"train_dataset": "BDRC/gyuyig-tsugdri-binary-balanced-script-classification-dataset",
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"benchmark_per_parent": 60,
|
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+
"experiment": "dinov3_gyuyig_tsugdri_binary",
|
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"repo_id": "BDRC/gyuyig-tsugdri-binary-script-classifier"
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}
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confusion_matrix.png
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final_model.pt
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size 86670182
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size 86670182
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model_card.json
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"train_dataset_id": "BDRC/gyuyig-tsugdri-binary-balanced-script-classification-dataset",
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"warmstart_repo": "BDRC/4-class-balanced-script-classifier",
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"task": "gyuyig_tsugdri_binary_classification",
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-
"experiment": "
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"classes": [
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"Gyuyig",
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"Tsugdri"
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],
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"pooling": "cls_token",
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"preprocess": {
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"train": "
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"val": "
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"test": "
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"size":
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},
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"warmstart": {
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"warmstart_repo": "BDRC/4-class-balanced-script-classifier",
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"warmstart_checkpoint": null,
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"warmstart_checkpoint_file": "final_model.pt",
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"checkpoint_test_metrics": {
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"warmstart_pooling": "cls_token"
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},
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"best_checkpoint": {
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"path": "best_stage_c_last_blocks.pt",
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-
"epoch":
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"val_macro_f1": 0.
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"val_metrics": {
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"train_dataset_id": "BDRC/gyuyig-tsugdri-binary-balanced-script-classification-dataset",
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"warmstart_repo": "BDRC/4-class-balanced-script-classifier",
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"task": "gyuyig_tsugdri_binary_classification",
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+
"experiment": "dinov3_gyuyig_tsugdri_binary",
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"classes": [
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"Gyuyig",
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"Tsugdri"
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],
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"pooling": "cls_token",
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"preprocess": {
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"train": "center_crop",
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"val": "center_crop",
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"test": "center_crop",
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"size": 224
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},
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"warmstart": {
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"warmstart_repo": "BDRC/4-class-balanced-script-classifier",
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"warmstart_checkpoint_file": "final_model.pt",
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"warmstart_pooling": "cls_token"
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"best_checkpoint": {
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"path": "best_stage_c_last_blocks.pt",
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"epoch": 1,
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}
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results.json
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{
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"experiment": "
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"run_subdir": null,
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"task": "gyuyig_tsugdri_binary_classification",
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"size":
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"training_config": {
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"warmstart_checkpoint": null,
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"warmstart_checkpoint_file": "final_model.pt",
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| 368 |
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| 369 |
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| 370 |
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|
| 371 |
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| 372 |
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| 373 |
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| 374 |
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|
| 375 |
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| 377 |
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| 378 |
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"report": " precision recall f1-score support\n\n Gyuyig 0.78 0.97 0.87 60\n Tsugdri 0.96 0.73 0.83 60\n\n accuracy 0.85 120\n macro avg 0.87 0.85 0.85 120\nweighted avg 0.87 0.85 0.85 120\n",
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| 380 |
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training_history.png
CHANGED
|
|