tner-xlm-roberta-large-uncased-ontonotes5 / test_fin_span_lower.json
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{"valid": {"f1": 15.151515151515154, "recall": 9.84251968503937, "precision": 32.89473684210527, "summary": " precision recall f1-score support\n\n entity 0.33 0.10 0.15 254\n\n micro avg 0.33 0.10 0.15 254\n macro avg 0.33 0.10 0.15 254\nweighted avg 0.33 0.10 0.15 254\n"}}