tner-xlm-roberta-base-all-english / test_ontonotes5_span.json
asahi417's picture
init
9bb2646
{"valid": {"f1": 89.20559277075935, "recall": 89.8559913051354, "precision": 88.5645420460632, "summary": " precision recall f1-score support\n\n entity 0.89 0.90 0.89 11041\n\n micro avg 0.89 0.90 0.89 11041\n macro avg 0.89 0.90 0.89 11041\nweighted avg 0.89 0.90 0.89 11041\n"}, "test": {"f1": 89.70731275974887, "recall": 90.1697626877611, "precision": 89.24958212369138, "summary": " precision recall f1-score support\n\n entity 0.89 0.90 0.90 11251\n\n micro avg 0.89 0.90 0.90 11251\n macro avg 0.89 0.90 0.90 11251\nweighted avg 0.89 0.90 0.90 11251\n"}}