tner-xlm-roberta-large-uncased-ontonotes5 / test_mit_restaurant_span_lower.json
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{"valid": {"f1": 4.585798816568047, "recall": 2.594142259414226, "precision": 19.745222929936308, "summary": " precision recall f1-score support\n\n entity 0.20 0.03 0.05 1195\n\n micro avg 0.20 0.03 0.05 1195\n macro avg 0.20 0.03 0.05 1195\nweighted avg 0.20 0.03 0.05 1195\n"}}