xlm-roberta-base-fin / test_wnut2017_span.json
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{"valid": {"f1": 68.51851851851852, "recall": 68.01470588235294, "precision": 69.02985074626866, "summary": " precision recall f1-score support\n\n entity 0.69 0.68 0.69 544\n\n micro avg 0.69 0.68 0.69 544\n macro avg 0.69 0.68 0.69 544\nweighted avg 0.69 0.68 0.69 544\n"}, "test": {"f1": 62.15578284815106, "recall": 68.33910034602077, "precision": 56.99855699855701, "summary": " precision recall f1-score support\n\n entity 0.57 0.68 0.62 578\n\n micro avg 0.57 0.68 0.62 578\n macro avg 0.57 0.68 0.62 578\nweighted avg 0.57 0.68 0.62 578\n"}}