Update README.md

README.md

@@ -10,6 +10,8 @@ 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
@@ -17,7 +19,7 @@ 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 "hackathon-pln-es/neutral-es" dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0323
 - Bleu: 98.8828
@@ -25,15 +27,8 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This model translates from “standard” to neutral Spanish. For example, it replaces gender markers in plurals with neuter constructions.
 
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
 
 ## Training procedure
 
@@ -61,4 +56,4 @@ The following hyperparameters were used during training:
 - Transformers 4.50.1
 - Pytorch 2.6.0+cu124
 - Datasets 3.4.1
-- Tokenizers 0.21.1
+- Tokenizers 0.21.1