xlm-roberta-base-fin / test_ontonotes5_span.json
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{"valid": {"f1": 50.26029342167534, "recall": 67.28332488596047, "precision": 40.111799365463064, "summary": " precision recall f1-score support\n\n entity 0.40 0.67 0.50 3946\n\n micro avg 0.40 0.67 0.50 3946\n macro avg 0.40 0.67 0.50 3946\nweighted avg 0.40 0.67 0.50 3946\n"}, "test": {"f1": 49.0296803652968, "recall": 65.09219499873706, "precision": 39.325499771097206, "summary": " precision recall f1-score support\n\n entity 0.39 0.65 0.49 3959\n\n micro avg 0.39 0.65 0.49 3959\n macro avg 0.39 0.65 0.49 3959\nweighted avg 0.39 0.65 0.49 3959\n"}}