Update README.md

README.md

@@ -44,8 +44,8 @@ to learn more about "Programmatically scale human preferences and alignment in G
 
 
 #### Result:
-- This model scored **30.2** on [Alpaca-Eval 2.0](https://tatsu-lab.github.io/alpaca_eval/) - ranked #4 and the highest for an open source base model at the time of publication.
-- Utilizing the model with PairRM, which involved generating 16 responses and submitting the highest-scoring one by PairRM, we scored **34.86** - ranked #2.
+- This model scored **30.2** on [Alpaca-Eval 2.0](https://tatsu-lab.github.io/alpaca_eval/) - ranked 3rd and the highest for an open source base model at the time of publication.
+- Utilizing the model with PairRM, which involved generating 16 responses and submitting the highest-scoring one by PairRM, we scored **34.86** - ranked 2nd.
 The best model on the leaderboard is "gpt-4-turbo".
 
 We acknowledge that Alpaca-Eval 2.0 is not the full reflection of LLMs' performances.