Update README.md

README.md

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 ## Merged Model Performance
 
-This repository contains the results of our merged language model, which combines the strengths of multiple models to achieve state-of-the-art performance on various natural language processing tasks.
+This repository contains the results of our merged rag relevance PEFT adapter model.
 
 ### Classification Performance
 
@@ -36,7 +36,7 @@ We compared our merged model's performance on the RAG Eval benchmark against sev
 | Palm (Text Bison)     | 0.53      | 1.00   | 0.69   |
 [1] Scores from arize/phoenix
 
-As shown in the table, our merged model achieves the highest precision score of 0.79, outperforming all other models. While its recall and F1 scores are lower than some models, our model strikes a balance between precision and recall, making it suitable for applications where high precision is crucial.[1]
+As shown in the table, our merged model achieves a comparable score of 0.75, outperforming several other black box models.
 
 We will continue to improve and fine-tune our merged model to achieve even better performance across various benchmarks and tasks.