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  We used the TC dataset in Catalan called [WikiCAT_ca](https://huggingface.co/datasets/projecte-aina/WikiCAT_ca) for training and evaluation.
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  ### Training Procedure
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- The model was trained with a batch size of 4 and three learning rates (1e-5, 3e-5, 5e-5) for 10 epochs. We then selected the best learning rate (3e-5) and checkpoint (epoch 3, step 1857) using the downstream task metric in the corresponding development set.
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  ## Evaluation
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  We used the TC dataset in Catalan called [WikiCAT_ca](https://huggingface.co/datasets/projecte-aina/WikiCAT_ca) 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 three learning rates (1e-5, 3e-5, 5e-5) for 10 epochs. We then selected the best learning rate (3e-5) and checkpoint (epoch 3, step 1857) using the downstream task metric in the corresponding development set.
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  ## Evaluation
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