tner-xlm-roberta-base-ontonotes5 / test_ontonotes5_span.json
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{"valid": {"f1": 91.05923313841896, "recall": 92.38293632823114, "precision": 89.77292730153142, "summary": " precision recall f1-score support\n\n entity 0.90 0.92 0.91 11041\n\n micro avg 0.90 0.92 0.91 11041\n macro avg 0.90 0.92 0.91 11041\nweighted avg 0.90 0.92 0.91 11041\n"}, "test": {"f1": 91.83754116355654, "recall": 92.95173762332237, "precision": 90.7497396737244, "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"}}