xlm-roberta-base-wnut2017 / test_ontonotes5_span.json
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{"valid": {"f1": 39.880188275566965, "recall": 56.84659957304056, "precision": 30.713461855330365, "summary": " precision recall f1-score support\n\n entity 0.31 0.57 0.40 3279\n\n micro avg 0.31 0.57 0.40 3279\n macro avg 0.31 0.57 0.40 3279\nweighted avg 0.31 0.57 0.40 3279\n"}, "test": {"f1": 41.320320210549404, "recall": 57.969230769230776, "precision": 32.10086897256773, "summary": " precision recall f1-score support\n\n entity 0.32 0.58 0.41 3250\n\n micro avg 0.32 0.58 0.41 3250\n macro avg 0.32 0.58 0.41 3250\nweighted avg 0.32 0.58 0.41 3250\n"}}