xlm-roberta-base-conll2003 / test_wnut2017_span.json
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{"valid": {"f1": 70.05076142131979, "recall": 63.41911764705882, "precision": 78.2312925170068, "summary": " precision recall f1-score support\n\n entity 0.78 0.63 0.70 544\n\n micro avg 0.78 0.63 0.70 544\n macro avg 0.78 0.63 0.70 544\nweighted avg 0.78 0.63 0.70 544\n"}, "test": {"f1": 66.55260906757913, "recall": 67.30103806228374, "precision": 65.82064297800339, "summary": " precision recall f1-score support\n\n entity 0.66 0.67 0.67 578\n\n micro avg 0.66 0.67 0.67 578\n macro avg 0.66 0.67 0.67 578\nweighted avg 0.66 0.67 0.67 578\n"}}