tner-xlm-roberta-large-ontonotes5 / test_panx_dataset-en_span.json
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{"valid": {"f1": 47.37385063915676, "recall": 37.41409847679773, "precision": 64.55990220048899, "accuracy": 70.63085680196863, "summary": " precision recall f1-score support\n\n entity 0.65 0.37 0.47 14115\n\n micro avg 0.65 0.37 0.47 14115\n macro avg 0.65 0.37 0.47 14115\nweighted avg 0.65 0.37 0.47 14115\n"}, "test": {"f1": 47.568306010928964, "recall": 37.59176623002735, "precision": 64.75328539548723, "accuracy": 70.42360721192838, "summary": " precision recall f1-score support\n\n entity 0.65 0.38 0.48 13894\n\n micro avg 0.65 0.38 0.48 13894\n macro avg 0.65 0.38 0.48 13894\nweighted avg 0.65 0.38 0.48 13894\n"}}