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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "repo_id": "BDRC/gyuyig-tsugdri-binary-script-classifier", | |
| "train_dataset_id": "BDRC/gyuyig-tsugdri-binary-balanced-script-classification-dataset", | |
| "warmstart_repo": "BDRC/4-class-balanced-script-classifier", | |
| "task": "gyuyig_tsugdri_binary_classification", | |
| "experiment": "dinov3_gyuyig_tsugdri_sub_warmstart", | |
| "classes": [ | |
| "Gyuyig", | |
| "Tsugdri" | |
| ], | |
| "pooling": "cls_token", | |
| "preprocess": { | |
| "train": "resize_letterbox", | |
| "val": "resize_letterbox", | |
| "test": "resize_letterbox", | |
| "size": 448 | |
| }, | |
| "warmstart": { | |
| "warmstart_repo": "BDRC/4-class-balanced-script-classifier", | |
| "warmstart_checkpoint": null, | |
| "warmstart_checkpoint_file": "final_model.pt", | |
| "checkpoint_test_metrics": { | |
| "loss": 0.6574946736847913, | |
| "accuracy": 0.825925925925926, | |
| "macro_f1": 0.8326187473728457, | |
| "weighted_f1": 0.82908384875598 | |
| }, | |
| "warmstart_pooling": "cls_token" | |
| }, | |
| "training_config": { | |
| "lr_head_a": 0.0005, | |
| "lr_backbone_b": 1e-05, | |
| "lr_head_b": 0.0001, | |
| "lr_backbone_c": 1.5e-05, | |
| "lr_head_c": 5e-05, | |
| "epochs_a": 7, | |
| "epochs_b": 10, | |
| "epochs_c": 12, | |
| "unfreeze_blocks_b": 4, | |
| "unfreeze_blocks_c": 8, | |
| "skip_stage_c": false, | |
| "scheduler": "cosine_warmup", | |
| "warmup_epochs_a": 0, | |
| "warmup_epochs_b": 1, | |
| "warmup_epochs_c": 1, | |
| "warmup_start_factor": 0.01, | |
| "min_lr_ratio": 0.01, | |
| "weight_decay": 0.02, | |
| "grad_clip_norm": 1.0, | |
| "class_weight_mode": "custom", | |
| "class_weights": [ | |
| 1.0, | |
| 1.0 | |
| ], | |
| "label_smoothing": 0.05, | |
| "dropout": 0.1, | |
| "early_stop_patience": 6, | |
| "early_stop_min_delta": 0.001, | |
| "resolved_class_weights": [ | |
| 1.0, | |
| 1.0 | |
| ], | |
| "pooling": "cls_token", | |
| "lambda_consistency": 0.0, | |
| "flip_op": "rot180" | |
| }, | |
| "best_checkpoint": { | |
| "path": "best_stage_c_last_blocks.pt", | |
| "epoch": 7, | |
| "val_macro_f1": 0.849624060150376 | |
| }, | |
| "val_metrics": { | |
| "loss": 0.45204214652379354, | |
| "accuracy": 0.85, | |
| "macro_f1": 0.849624060150376, | |
| "weighted_f1": 0.849624060150376, | |
| "auc_roc": 0.9022222222222223 | |
| }, | |
| "test_metrics": { | |
| "loss": 0.5353951374689738, | |
| "accuracy": 0.8083333333333333, | |
| "macro_f1": 0.8082134667500521, | |
| "weighted_f1": 0.8082134667500521, | |
| "auc_roc": 0.8677777777777778 | |
| } | |
| } | |