tner-xlm-roberta-base-all-english / test_conll2003.json
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{"valid": {"f1": 89.10754358708786, "recall": 87.12236286919831, "precision": 91.18530295000883, "summary": " precision recall f1-score support\n\n location 0.94 0.84 0.89 1837\norganization 0.84 0.90 0.87 1341\n other 0.86 0.71 0.78 922\n person 0.96 0.96 0.96 1825\n\n micro avg 0.91 0.87 0.89 5925\n macro avg 0.90 0.85 0.87 5925\nweighted avg 0.91 0.87 0.89 5925\n"}, "test": {"f1": 87.15473317243229, "recall": 86.54358246050063, "precision": 87.77457688152683, "summary": " precision recall f1-score support\n\n location 0.91 0.83 0.87 1660\norganization 0.83 0.89 0.86 1661\n other 0.75 0.70 0.72 702\n person 0.95 0.95 0.95 1610\n\n micro avg 0.88 0.87 0.87 5633\n macro avg 0.86 0.84 0.85 5633\nweighted avg 0.88 0.87 0.87 5633\n"}}