tner-xlm-roberta-large-all-english / test_bc5cdr_span.json
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{"valid": {"f1": 86.2455506561122, "recall": 85.01256807708421, "precision": 87.51482479784367, "summary": " precision recall f1-score support\n\n entity 0.88 0.85 0.86 9548\n\n micro avg 0.88 0.85 0.86 9548\n macro avg 0.88 0.85 0.86 9548\nweighted avg 0.88 0.85 0.86 9548\n"}, "test": {"f1": 85.38831474470481, "recall": 85.24004085801839, "precision": 85.53710537105371, "summary": " precision recall f1-score support\n\n entity 0.86 0.85 0.85 9790\n\n micro avg 0.86 0.85 0.85 9790\n macro avg 0.86 0.85 0.85 9790\nweighted avg 0.86 0.85 0.85 9790\n"}}