Update README.md

README.md

@@ -17,7 +17,7 @@ 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 the dataset hackathon-pln-es/neutral-es (https://huggingface.co/datasets/somosnlp-hackathon-2022/neutral-es).
 It achieves the following results on the evaluation set:
 - Loss: 0.0138
 - Bleu: 98.5147
@@ -25,15 +25,14 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This model was delivered as part of a class project, in which we used different NLP libraries and resources.
 
 ## Intended uses & limitations
 
-More information needed
+The aim of this model is detecting gendered-specific structures in Spanish and neutralize them to get a more inclusive text.
 
-## Training and evaluation data
+Given the computing limitations, there is room for improvement and obtenining more neutral texts.
 
-More information needed
 
 ## Training procedure