Update README.md

README.md

@@ -103,7 +103,7 @@ At the time of submission, no measures have been taken to estimate the bias embe
 We used the Catalan split of the [MASSIVE](https://huggingface.co/datasets/AmazonScience/massive)  dataset for training and evaluation.
 
 ### Training procedure
-The model was trained with a batch size of 16 and a learning rate of 5e-5 for 20 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.
+The model was trained with a batch size of 16 and a learning rate of 1e-5 for 20 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.
 
 ## Evaluation