tner-xlm-roberta-base-ontonotes5 / test_panx_dataset-en_span.json
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{"valid": {"f1": 44.32529043789097, "recall": 35.13992206872122, "precision": 60.01209921355112, "summary": " precision recall f1-score support\n\n entity 0.60 0.35 0.44 14115\n\n micro avg 0.60 0.35 0.44 14115\n macro avg 0.60 0.35 0.44 14115\nweighted avg 0.60 0.35 0.44 14115\n"}, "test": {"f1": 44.73243010557796, "recall": 35.526126385490144, "precision": 60.379204892966364, "summary": " precision recall f1-score support\n\n entity 0.60 0.36 0.45 13894\n\n micro avg 0.60 0.36 0.45 13894\n macro avg 0.60 0.36 0.45 13894\nweighted avg 0.60 0.36 0.45 13894\n"}}