| { | |
| "base_model": "KPF/KPF-bert-ner", | |
| "training_dataset": "townboy/korean-pii-dataset", | |
| "training_dataset_rows": 11732, | |
| "splits": { | |
| "train": 9227, | |
| "validation": 1510, | |
| "test": 995 | |
| }, | |
| "pii_types": 33, | |
| "bio_labels": 67, | |
| "maximum_sequence_length": 512, | |
| "final_refinement": { | |
| "effective_batch_size": 32, | |
| "class_weighted_loss": false, | |
| "stages": [ | |
| { | |
| "purpose": "Korean-ID counterfactual learning", | |
| "epochs": 1, | |
| "learning_rate": 5e-06 | |
| }, | |
| { | |
| "purpose": "general-label stabilization", | |
| "epochs": 1, | |
| "learning_rate": 1e-06 | |
| } | |
| ], | |
| "validation_micro_f1": 0.9964634318856981 | |
| }, | |
| "final_evaluation": { | |
| "documents": 1320, | |
| "positive_spans_per_label": 100, | |
| "exact_character_span_matching": true, | |
| "macro_f1": 0.883369786048345, | |
| "micro_f1": 0.8642728407042839 | |
| }, | |
| "notes": "The final refinement used standard cross-entropy. The trained parameters are stored in model.safetensors; class weighting is a loss setting, not a separate required inference weight file." | |
| } | |