xlm-roberta-large-uncased-mit-restaurant / test_wnut2017_span_lower.json
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{"valid": {"f1": 18.30065359477124, "recall": 18.91891891891892, "precision": 17.72151898734177, "summary": " precision recall f1-score support\n\n entity 0.18 0.19 0.18 74\n\n micro avg 0.18 0.19 0.18 74\n macro avg 0.18 0.19 0.18 74\nweighted avg 0.18 0.19 0.18 74\n"}, "test": {"f1": 22.933333333333337, "recall": 28.666666666666668, "precision": 19.11111111111111, "summary": " precision recall f1-score support\n\n entity 0.19 0.29 0.23 150\n\n micro avg 0.19 0.29 0.23 150\n macro avg 0.19 0.29 0.23 150\nweighted avg 0.19 0.29 0.23 150\n"}}