tner-xlm-roberta-large-uncased-ontonotes5 / test_wnut2017_span_lower.json
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{"valid": {"f1": 66.30944407233757, "recall": 61.720698254364095, "precision": 71.63531114327061, "summary": " precision recall f1-score support\n\n entity 0.72 0.62 0.66 802\n\n micro avg 0.72 0.62 0.66 802\n macro avg 0.72 0.62 0.66 802\nweighted avg 0.72 0.62 0.66 802\n"}, "test": {"f1": 50.140845070422536, "recall": 44.01582591493571, "precision": 58.24607329842932, "summary": " precision recall f1-score support\n\n entity 0.58 0.44 0.50 1011\n\n micro avg 0.58 0.44 0.50 1011\n macro avg 0.58 0.44 0.50 1011\nweighted avg 0.58 0.44 0.50 1011\n"}}