tner-xlm-roberta-large-ontonotes5 / test_conll2003_span.json
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{"valid": {"f1": 65.06572295247726, "recall": 51.44913052168699, "precision": 88.48401512547267, "accuracy": 93.95145555295403, "summary": " precision recall f1-score support\n\n entity 0.88 0.51 0.65 5003\n\n micro avg 0.88 0.51 0.65 5003\n macro avg 0.88 0.51 0.65 5003\nweighted avg 0.88 0.51 0.65 5003\n"}, "test": {"f1": 65.45039908779933, "recall": 52.38288379639019, "precision": 87.20459149223497, "accuracy": 93.5293229514915, "summary": " precision recall f1-score support\n\n entity 0.87 0.52 0.65 4931\n\n micro avg 0.87 0.52 0.65 4931\n macro avg 0.87 0.52 0.65 4931\nweighted avg 0.87 0.52 0.65 4931\n"}}