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{"valid": {"f1": 66.36363636363636, "recall": 61.1244019138756, "precision": 72.58522727272727, "accuracy": 96.4483482910063, "summary": " precision recall f1-score support\n\n corporation 0.38 0.38 0.38 34\n group 0.41 0.41 0.41 39\n location 0.69 0.62 0.65 74\n person 0.86 0.77 0.81 470\n product 0.51 0.41 0.46 114\n work of art 0.57 0.28 0.37 105\n\n micro avg 0.73 0.61 0.66 836\n macro avg 0.57 0.48 0.51 836\nweighted avg 0.72 0.61 0.66 836\n"}, "test": {"f1": 58.575197889182064, "recall": 51.532033426183844, "precision": 67.84841075794621, "accuracy": 95.61209918213683, "summary": " precision recall f1-score support\n\n corporation 0.37 0.44 0.40 66\n group 0.60 0.33 0.43 165\n location 0.73 0.64 0.68 150\n person 0.78 0.69 0.73 428\n product 0.46 0.23 0.31 127\n work of art 0.69 0.35 0.46 141\n\n micro avg 0.68 0.52 0.59 1077\n macro avg 0.60 0.45 0.50 1077\nweighted avg 0.67 0.52 0.57 1077\n"}} |