Update README.md

README.md

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 ElEmperador is an ORPO-based finetinue derived from the Mistral-7B-v0.1 base model.
 
-The argilla/ultrafeedback-binarized-preferences-cleaned dataset was used to improve the performance of the model.
+The argilla/ultrafeedback-binarized-preferences-cleaned dataset was used, albeit a small portion was used due to GPU constraints.
 
 ## Citation
 
 [Dettmers, T., Pagnoni, A., Holtzman, A., & Zettlemoyer, L. (2023, May 23). ] https://arxiv.org/abs/2305.14314.
 
 
-## Bleu:0.0209
+# Evals:
+BLEU:0.0209
 
-The model recipe: https://github.com/ParagEkbote/El-Emperador_ModelRecipe
+# 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,
+
+leading to more user-friendly and acceptable results.
+
+The model recipe: [ https://github.com/ParagEkbote/El-Emperador_ModelRecipe]
 
 ## Inference Script: