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@@ -120,10 +120,10 @@ The model was trained with a batch size of 16 and a learning rate of 5e-5 for 5
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  This model was finetuned maximizing F1 score.
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  ## Evaluation results
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- We evaluated the *roberta-base-bne-capitel-ner** on the CAPITEL-NERC test set against standard multilingual and monolingual baselines:
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- | Model | XNLI (Accuracy) |
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  | ------------|:----|
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  | roberta-large-bne-capitel-ner | **90.51** |
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  | roberta-base-bne-capitel-ner | 89.60|
 
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  This model was finetuned maximizing F1 score.
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  ## Evaluation results
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+ We evaluated the **roberta-base-bne-capitel-ner** on the CAPITEL-NERC test set against standard multilingual and monolingual baselines:
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+ | Model | CAPITEL-NERC (F1) |
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  | ------------|:----|
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  | roberta-large-bne-capitel-ner | **90.51** |
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  | roberta-base-bne-capitel-ner | 89.60|