tner-xlm-roberta-base-ontonotes5 / test_conll2003_span.json
asahi417's picture
init
70a4a78
{"valid": {"f1": 64.09021794221997, "recall": 50.54967019788127, "precision": 87.53894080996885, "summary": " precision recall f1-score support\n\n entity 0.88 0.51 0.64 5003\n\n micro avg 0.88 0.51 0.64 5003\n macro avg 0.88 0.51 0.64 5003\nweighted avg 0.88 0.51 0.64 5003\n"}, "test": {"f1": 62.21701795472286, "recall": 48.48915027377814, "precision": 86.78765880217786, "summary": " precision recall f1-score support\n\n entity 0.87 0.48 0.62 4931\n\n micro avg 0.87 0.48 0.62 4931\n macro avg 0.87 0.48 0.62 4931\nweighted avg 0.87 0.48 0.62 4931\n"}}