tner-xlm-roberta-large-uncased-ontonotes5 / test_panx_dataset-en_span_lower.json
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{"valid": {"f1": 45.25706010137582, "recall": 35.44088460447973, "precision": 62.59389083625438, "summary": " precision recall f1-score support\n\n entity 0.63 0.35 0.45 14108\n\n micro avg 0.63 0.35 0.45 14108\n macro avg 0.63 0.35 0.45 14108\nweighted avg 0.63 0.35 0.45 14108\n"}, "test": {"f1": 44.75627092218096, "recall": 35.15090398328892, "precision": 61.58505805148915, "summary": " precision recall f1-score support\n\n entity 0.62 0.35 0.45 13883\n\n micro avg 0.62 0.35 0.45 13883\n macro avg 0.62 0.35 0.45 13883\nweighted avg 0.62 0.35 0.45 13883\n"}}