tner-xlm-roberta-large-all-english / test_conll2003_span.json
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{"valid": {"f1": 94.85085532536749, "recall": 93.11392405063292, "precision": 96.65381920112124, "summary": " precision recall f1-score support\n\n entity 0.97 0.93 0.95 5925\n\n micro avg 0.97 0.93 0.95 5925\n macro avg 0.97 0.93 0.95 5925\nweighted avg 0.97 0.93 0.95 5925\n"}, "test": {"f1": 94.25739037242118, "recall": 93.68009941416652, "precision": 94.84184040258806, "summary": " precision recall f1-score support\n\n entity 0.95 0.94 0.94 5633\n\n micro avg 0.95 0.94 0.94 5633\n macro avg 0.95 0.94 0.94 5633\nweighted avg 0.95 0.94 0.94 5633\n"}}