tner-xlm-roberta-large-ontonotes5 / test_ontonotes5_span.json
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{"valid": {"f1": 91.53465125619171, "recall": 92.89013676297438, "precision": 90.21815622800844, "accuracy": 98.57540005424464, "summary": " precision recall f1-score support\n\n entity 0.90 0.93 0.92 11041\n\n micro avg 0.90 0.93 0.92 11041\n macro avg 0.90 0.93 0.92 11041\nweighted avg 0.90 0.93 0.92 11041\n"}, "test": {"f1": 91.69336083198034, "recall": 92.86285663496578, "precision": 90.5529554515514, "accuracy": 98.576745648983, "summary": " precision recall f1-score support\n\n entity 0.91 0.93 0.92 11251\n\n micro avg 0.91 0.93 0.92 11251\n macro avg 0.91 0.93 0.92 11251\nweighted avg 0.91 0.93 0.92 11251\n"}}