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  We used the NER dataset in Catalan called [Ancora-ca-NER](https://huggingface.co/datasets/projecte-aina/ancora-ca-ner) for training and evaluation.
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  ### Training Procedure
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- The model was trained with a batch size of 16 and a learning rate of 5e-5 for 5 epochs. We then selected the best checkpoint using the downstream task metric in the corresponding development set, and then evaluated it on the test set.
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  ## Evaluation
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@@ -150,4 +150,4 @@ This work was funded by the [Departament de la Vicepresidència i de Polítiques
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  ## Contributions
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- [N/A]
 
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  We used the NER dataset in Catalan called [Ancora-ca-NER](https://huggingface.co/datasets/projecte-aina/ancora-ca-ner) for training and evaluation.
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  ### Training Procedure
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+ The model was trained with a batch size of 16 and a learning rate of 5e-5 for 5 epochs. We then selected the best checkpoint using the downstream task metric in the corresponding development set and then evaluated it on the test set.
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  ## Evaluation
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  ## Contributions
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+ [N/A]