xlm-roberta-base-panx-dataset-en / test_wnut2017_span.json
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{"valid": {"f1": 48.82051282051282, "recall": 43.75, "precision": 55.22041763341067, "summary": " precision recall f1-score support\n\n entity 0.55 0.44 0.49 544\n\n micro avg 0.55 0.44 0.49 544\n macro avg 0.55 0.44 0.49 544\nweighted avg 0.55 0.44 0.49 544\n"}, "test": {"f1": 45.3307392996109, "recall": 40.31141868512111, "precision": 51.77777777777778, "summary": " precision recall f1-score support\n\n entity 0.52 0.40 0.45 578\n\n micro avg 0.52 0.40 0.45 578\n macro avg 0.52 0.40 0.45 578\nweighted avg 0.52 0.40 0.45 578\n"}}