| { | |
| "mlflow_metadata": { | |
| "run_info": {}, | |
| "metrics": {}, | |
| "params": {}, | |
| "tags": {} | |
| }, | |
| "user_data": { | |
| "task_type": "ner", | |
| "language": "en", | |
| "dataset": "ner_training_synthetic_v1.jsonl", | |
| "description": "This is a Named Entity Recognition (NER) model fine-tuned on DistilBERT-base-cased for extracting entities from English text. The model is trained on synthetic data (ner_dataset_2.jsonl) and is optimized for token classification tasks where each word/token in the input text is classified into predefined entity categori.", | |
| "author": "BITZ-AI TEAM", | |
| "license": "apache-2.0" | |
| }, | |
| "export_info": { | |
| "framework": "pytorch", | |
| "task_type": "ner", | |
| "export_timestamp": "2025-09-29T16:28:26.226966", | |
| "version": "1" | |
| } | |
| } |