tner-xlm-roberta-base-all-english / test_bionlp2004_span.json
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{"valid": {"f1": 78.14962755046962, "recall": 83.75564040263798, "precision": 73.24698978043104, "summary": " precision recall f1-score support\n\n entity 0.73 0.84 0.78 8643\n\n micro avg 0.73 0.84 0.78 8643\n macro avg 0.73 0.84 0.78 8643\nweighted avg 0.73 0.84 0.78 8643\n"}}