| { | |
| "repo_id": "ceilf6/imdb-sentiment-roberta", | |
| "source_model_id": "textattack/roberta-base-imdb", | |
| "generated_at": "2026-05-15T13:45:52.977900+00:00", | |
| "dataset": "data/imdb_top_500.csv", | |
| "total": 500, | |
| "correct": 492, | |
| "accuracy": 0.984, | |
| "min_accuracy": 0.92, | |
| "max_length": 512, | |
| "batch_size": 8, | |
| "label_mapping": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1" | |
| }, | |
| "classification_report": { | |
| "negative": { | |
| "precision": 0.984, | |
| "recall": 0.984, | |
| "f1-score": 0.984, | |
| "support": 250.0 | |
| }, | |
| "positive": { | |
| "precision": 0.984, | |
| "recall": 0.984, | |
| "f1-score": 0.984, | |
| "support": 250.0 | |
| }, | |
| "accuracy": 0.984, | |
| "macro avg": { | |
| "precision": 0.984, | |
| "recall": 0.984, | |
| "f1-score": 0.984, | |
| "support": 500.0 | |
| }, | |
| "weighted avg": { | |
| "precision": 0.984, | |
| "recall": 0.984, | |
| "f1-score": 0.984, | |
| "support": 500.0 | |
| } | |
| } | |
| } |