tner-xlm-roberta-base-uncased-ontonotes5 / test_panx_dataset-en_span_lower.json
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{"valid": {"f1": 41.13793412904963, "recall": 32.49220300538702, "precision": 56.05282465150404, "summary": " precision recall f1-score support\n\n entity 0.56 0.32 0.41 14108\n\n micro avg 0.56 0.32 0.41 14108\n macro avg 0.56 0.32 0.41 14108\nweighted avg 0.56 0.32 0.41 14108\n"}, "test": {"f1": 41.35009565455042, "recall": 32.69466253691565, "precision": 56.23838433899145, "summary": " precision recall f1-score support\n\n entity 0.56 0.33 0.41 13883\n\n micro avg 0.56 0.33 0.41 13883\n macro avg 0.56 0.33 0.41 13883\nweighted avg 0.56 0.33 0.41 13883\n"}}