tner-xlm-roberta-large-all-english / test_conll2003.json
asahi417's picture
init
73506de
{"valid": {"f1": 92.8093358503518, "recall": 91.27426160337552, "precision": 94.39692791063013, "summary": " precision recall f1-score support\n\n location 0.96 0.90 0.93 1837\norganization 0.91 0.93 0.92 1341\n other 0.89 0.79 0.84 922\n person 0.97 0.98 0.97 1825\n\n micro avg 0.94 0.91 0.93 5925\n macro avg 0.93 0.90 0.92 5925\nweighted avg 0.94 0.91 0.93 5925\n"}, "test": {"f1": 90.2806236080178, "recall": 89.95206816971418, "precision": 90.61158798283262, "summary": " precision recall f1-score support\n\n location 0.94 0.86 0.90 1660\norganization 0.86 0.93 0.89 1661\n other 0.78 0.76 0.77 702\n person 0.97 0.97 0.97 1610\n\n micro avg 0.91 0.90 0.90 5633\n macro avg 0.89 0.88 0.88 5633\nweighted avg 0.91 0.90 0.90 5633\n"}}