xlm-roberta-base-wnut2017 / test_wnut2017_span.json
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{"valid": {"f1": 73.03295225285811, "recall": 64.95215311004785, "precision": 83.41013824884793, "summary": " precision recall f1-score support\n\n entity 0.83 0.65 0.73 836\n\n micro avg 0.83 0.65 0.73 836\n macro avg 0.83 0.65 0.73 836\nweighted avg 0.83 0.65 0.73 836\n"}, "test": {"f1": 63.00164925783397, "recall": 53.2033426183844, "precision": 77.22371967654986, "summary": " precision recall f1-score support\n\n entity 0.77 0.53 0.63 1077\n\n micro avg 0.77 0.53 0.63 1077\n macro avg 0.77 0.53 0.63 1077\nweighted avg 0.77 0.53 0.63 1077\n"}}