xlm-roberta-base-wnut2017 / test_panx_dataset-en_span.json
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{"valid": {"f1": 56.800000000000004, "recall": 63.943632125450314, "precision": 51.092109718929905, "summary": " precision recall f1-score support\n\n entity 0.51 0.64 0.57 9438\n\n micro avg 0.51 0.64 0.57 9438\n macro avg 0.51 0.64 0.57 9438\nweighted avg 0.51 0.64 0.57 9438\n"}, "test": {"f1": 56.25512616394075, "recall": 63.71584699453552, "precision": 50.35846937894101, "summary": " precision recall f1-score support\n\n entity 0.50 0.64 0.56 9150\n\n micro avg 0.50 0.64 0.56 9150\n macro avg 0.50 0.64 0.56 9150\nweighted avg 0.50 0.64 0.56 9150\n"}}