tner-xlm-roberta-large-uncased-ontonotes5 / test_conll2003_span_lower.json
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{"valid": {"f1": 62.173140390962175, "recall": 49.00940564338603, "precision": 85.00520652551198, "summary": " precision recall f1-score support\n\n entity 0.85 0.49 0.62 4997\n\n micro avg 0.85 0.49 0.62 4997\n macro avg 0.85 0.49 0.62 4997\nweighted avg 0.85 0.49 0.62 4997\n"}, "test": {"f1": 59.989819292440814, "recall": 47.848152659358504, "precision": 80.38881309686221, "summary": " precision recall f1-score support\n\n entity 0.80 0.48 0.60 4926\n\n micro avg 0.80 0.48 0.60 4926\n macro avg 0.80 0.48 0.60 4926\nweighted avg 0.80 0.48 0.60 4926\n"}}