tner-xlm-roberta-base-ontonotes5 / test_wnut2017_span.json
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{"valid": {"f1": 62.40928882438316, "recall": 53.61596009975062, "precision": 74.65277777777779, "summary": " precision recall f1-score support\n\n entity 0.75 0.54 0.62 802\n\n micro avg 0.75 0.54 0.62 802\n macro avg 0.75 0.54 0.62 802\nweighted avg 0.75 0.54 0.62 802\n"}, "test": {"f1": 51.70387779083432, "recall": 43.52126607319486, "precision": 63.67583212735166, "summary": " precision recall f1-score support\n\n entity 0.64 0.44 0.52 1011\n\n micro avg 0.64 0.44 0.52 1011\n macro avg 0.64 0.44 0.52 1011\nweighted avg 0.64 0.44 0.52 1011\n"}}