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@@ -95,7 +95,7 @@ pprint(te_results)
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  ## Training
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  ### Training data
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- We used the TE dataset in Catalan called [TECA](https://huggingface.co/datasets/projecte-aina/teca) 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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  ## Training
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  ### Training data
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+ We used the TE dataset in Catalan called [TE-ca](https://huggingface.co/datasets/projecte-aina/teca) 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.