tner-xlm-roberta-base-uncased-ontonotes5 / test_wnut2017_span_lower.json
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{"valid": {"f1": 62.301860785665056, "recall": 56.35910224438903, "precision": 69.64560862865947, "summary": " precision recall f1-score support\n\n entity 0.70 0.56 0.62 802\n\n micro avg 0.70 0.56 0.62 802\n macro avg 0.70 0.56 0.62 802\nweighted avg 0.70 0.56 0.62 802\n"}, "test": {"f1": 48.96998234255444, "recall": 41.14737883283877, "precision": 60.46511627906976, "summary": " precision recall f1-score support\n\n entity 0.60 0.41 0.49 1011\n\n micro avg 0.60 0.41 0.49 1011\n macro avg 0.60 0.41 0.49 1011\nweighted avg 0.60 0.41 0.49 1011\n"}}