Update README.md

README.md

@@ -10,14 +10,13 @@ metrics:
 model-index:
 - name: mbart-neutralizacion-es
   results: []
+datasets:
+- somosnlp-hackathon-2022/neutral-es
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
 # mbart-neutralizacion-es
 
-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 dataset somosnlp-hackathon-2022/neutral-es.
 It achieves the following results on the evaluation set:
 - Loss: 0.0104
 - Bleu: 99.0106
@@ -25,17 +24,7 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
+Model to neutralize gendered text.
 
 ### Training hyperparameters
 
@@ -62,4 +51,4 @@ The following hyperparameters were used during training:
 - Transformers 4.49.0
 - Pytorch 2.5.1+cu124
 - Datasets 3.3.2
-- Tokenizers 0.21.0
+- Tokenizers 0.21.0