Update README.md

README.md

@@ -9,6 +9,8 @@ metrics:
 model-index:
 - name: mbart-neutralization
   results: []
+language:
+- es
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mbart-neutralization
 
-This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
+This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on on the following dataset: hackathon-pln-es/neutral-es.
 It achieves the following results on the evaluation set:
 - Loss: 0.0181
 - Bleu: 98.7341
@@ -24,7 +26,7 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+Used and trained as part of the Master's Degree in NLP of Universidad de la Rioja 2023-2024
 
 ## Intended uses & limitations
 
@@ -60,4 +62,4 @@ The following hyperparameters were used during training:
 - Transformers 4.37.2
 - Pytorch 2.1.0+cu121
 - Datasets 2.17.1
-- Tokenizers 0.15.2
+- Tokenizers 0.15.2