xlm-roberta-large-uncased-panx-dataset-en / test_wnut2017_span_lower.json
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{"valid": {"f1": 47.939262472885034, "recall": 40.625, "precision": 58.46560846560847, "summary": " precision recall f1-score support\n\n entity 0.58 0.41 0.48 544\n\n micro avg 0.58 0.41 0.48 544\n macro avg 0.58 0.41 0.48 544\nweighted avg 0.58 0.41 0.48 544\n"}, "test": {"f1": 51.26582278481012, "recall": 42.04152249134948, "precision": 65.67567567567568, "summary": " precision recall f1-score support\n\n entity 0.66 0.42 0.51 578\n\n micro avg 0.66 0.42 0.51 578\n macro avg 0.66 0.42 0.51 578\nweighted avg 0.66 0.42 0.51 578\n"}}