xlm-roberta-large-uncased-panx-dataset-en / test_mit_restaurant_span_lower.json
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{"valid": {"f1": 3.048065650644783, "recall": 1.600985221674877, "precision": 31.70731707317073, "summary": " precision recall f1-score support\n\n entity 0.32 0.02 0.03 812\n\n micro avg 0.32 0.02 0.03 812\n macro avg 0.32 0.02 0.03 812\nweighted avg 0.32 0.02 0.03 812\n"}}