Update README.md

README.md

@@ -26,35 +26,23 @@ This model was built using the Smaug recipe  for improving performance on real w
 ########## First turn ##########
                    score
 model             turn
-llama3-8b-smaug-2-merged-600 1   8.79375
-llama3-8b-smaug-2-merged-150 1   8.71250
-llama3-8b-smaug-2-merged-300 1   8.66250
-base_Meta-Llama-3-8B-Instruct 1   8.53125
-llama3-8b-smaug-2-merged-450 1   8.42500
+Llama-3-Smaug-8B 1   8.79375
+Meta-Llama-3-8B-Instruct 1   8.53125
 ########## Second turn ##########
                    score
 model             turn
-llama3-8b-smaug-2-merged-450 2   7.8125
-llama3-8b-smaug-2-merged-300 2   7.7375
-llama3-8b-smaug-2-merged-600 2   7.7250
-llama3-8b-smaug-2-merged-150 2   7.7125
-base_Meta-Llama-3-8B-Instruct 2   7.5500
+Llama-3-Smaug-8B 2   7.7250
+Meta-Llama-3-8B-Instruct 2   7.5500
 ########## Average ##########
                  score
 model
-llama3-8b-smaug-2-merged-600  8.259375
-llama3-8b-smaug-2-merged-150  8.212500
-llama3-8b-smaug-2-merged-300  8.200000
-llama3-8b-smaug-2-merged-450  8.118750
-base_Meta-Llama-3-8B-Instruct 8.040625
+Llama-3-Smaug-8B  8.259375
+Meta-Llama-3-8B-Instruct 8.040625
 ```
 
 | Model | First turn | Second Turn | Average |
 | :---- | ---------: | ----------: | ------: |
-| llama3-8b-smaug-2-merged-600 | **8.79** | 7.73 | **8.26** |
-| llama3-8b-smaug-2-merged-450 | 8.43 | **7.81** | 8.12 |
-| llama3-8b-smaug-2-merged-300 | 8.66 | 7.74 | 8.20 |
-| llama3-8b-smaug-2-merged-150 | 8.71 | 7.71 | 8.21 |
-| Meta-Llama-3-8B-Instruct | 8.53 |  7.55 | 8.04 |
+| Llama-3-Smaug-8B | 8.79 | 7.73 | 8.26 |
+| Llama-3-8B-Instruct | 8.53 |  7.55 | 8.04 |
 
 This version of Smaug uses new techniques and new data compared to [Smaug-72B](https://huggingface.co/abacusai/Smaug-72B-v0.1), and more information will be released later on. For now, see the previous Smaug paper: https://arxiv.org/abs/2402.13228.