Update README.md

README.md

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 ## Model description
 
-The **roberta-large-bne-massive** is a Intent Classification model for the Catalan language fine-tuned from the roberta-large-bne-massive model, a [RoBERTa](https://arxiv.org/abs/1907.11692) based model pre-trained on a medium-size corpus collected from publicly available corpora and crawlers.
+The **roberta-large-bne-massive** is a Intent Classification model for the Spanish language fine-tuned from the roberta-large-bne-massive model, a [RoBERTa](https://arxiv.org/abs/1907.11692) based model pre-trained on a medium-size corpus collected from publicly available corpora and crawlers.
 
 ## Intended uses and limitations
 
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 ## Training
 
 ### Training data
-We used the Catalan split of the [MASSIVE](https://huggingface.co/datasets/AmazonScience/massive)  dataset for training and evaluation.
+We used the Spanish 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 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.