Update README.md

README.md

@@ -12,7 +12,7 @@ tags:
 
 ---
 
-<h1 style="font-size: 2em;">Presenting ElEmperador.</h1>
+<h1 style="font-size: 2em;">ElEmperador.</h1>
 
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64e8ea3892d9db9a93580fe3/gkDcpIxRCjBlmknN_jzWN.png)
@@ -29,11 +29,11 @@ The argilla/ultrafeedback-binarized-preferences-cleaned dataset was used, albeit
 
 
 # Evals:
-BLEU:0.0209
+BLEU:0.209
 
 # Conclusion and Model Recipe.
-ORPO is a viable RLHF algorithm to improve the performance of your models than SFT finetuning. It also helps in aligning the model’s outputs more closely with human preferences,
 
+ORPO is a viable RLHF algorithm to improve the performance of your models than SFT finetuning. It also helps in aligning the model’s outputs more closely with human preferences,
 leading to more user-friendly and acceptable results.
 
 The model recipe: [ https://github.com/ParagEkbote/El-Emperador_ModelRecipe]