tner-xlm-roberta-base-uncased-ontonotes5 / test_mit_movie_trivia_span_lower.json
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{"valid": {"f1": 88.28070175438596, "recall": 95.15885022692889, "precision": 82.32984293193716, "summary": " precision recall f1-score support\n\n entity 0.82 0.95 0.88 661\n\n micro avg 0.82 0.95 0.88 661\n macro avg 0.82 0.95 0.88 661\nweighted avg 0.82 0.95 0.88 661\n"}}