tner-xlm-roberta-base-uncased-ontonotes5 / test_mit_restaurant_span_lower.json
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{"valid": {"f1": 4.172876304023846, "recall": 2.3430962343096233, "precision": 19.047619047619047, "summary": " precision recall f1-score support\n\n entity 0.19 0.02 0.04 1195\n\n micro avg 0.19 0.02 0.04 1195\n macro avg 0.19 0.02 0.04 1195\nweighted avg 0.19 0.02 0.04 1195\n"}}