tner-xlm-roberta-large-all-english / test_wnut2017_span.json
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{"valid": {"f1": 71.91601049868765, "recall": 65.55023923444976, "precision": 79.65116279069767, "summary": " precision recall f1-score support\n\n entity 0.80 0.66 0.72 836\n\n micro avg 0.80 0.66 0.72 836\n macro avg 0.80 0.66 0.72 836\nweighted avg 0.80 0.66 0.72 836\n"}, "test": {"f1": 60.85508051082732, "recall": 50.88207985143919, "precision": 75.69060773480662, "summary": " precision recall f1-score support\n\n entity 0.76 0.51 0.61 1077\n\n micro avg 0.76 0.51 0.61 1077\n macro avg 0.76 0.51 0.61 1077\nweighted avg 0.76 0.51 0.61 1077\n"}}