tner-xlm-roberta-base-uncased-ontonotes5 / test_conll2003_span_lower.json
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{"valid": {"f1": 60.14483547198577, "recall": 47.368421052631575, "precision": 82.35908141962422, "summary": " precision recall f1-score support\n\n entity 0.82 0.47 0.60 4997\n\n micro avg 0.82 0.47 0.60 4997\n macro avg 0.82 0.47 0.60 4997\nweighted avg 0.82 0.47 0.60 4997\n"}, "test": {"f1": 56.67744020685197, "recall": 44.49857896873731, "precision": 78.03488786044855, "summary": " precision recall f1-score support\n\n entity 0.78 0.44 0.57 4926\n\n micro avg 0.78 0.44 0.57 4926\n macro avg 0.78 0.44 0.57 4926\nweighted avg 0.78 0.44 0.57 4926\n"}}