Update README.md

README.md

@@ -17,10 +17,29 @@ Instruction tuned with the following parameters:
 - Micro Batch Size 32 over 4xH100, gradient accumulation steps = 1
 - AdamW with learning rate 5e-5
 
-### Evaluation Results
+## Evaluation Results
+
+### HuggingFace Leaderboard
 
 | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
 | --- | --- | --- | --- | --- | --- | --- |
 | 67.33    | 59.64 | 81.82 | 61.69 | 53.23 | 78.45 | 69.14 |
 
-For comparison the GSM8K score for the original `metamath/MetaMath-Mistral-7B` was 68.84 and average score was 65.78.
+For comparison the GSM8K score for the original `metamath/MetaMath-Mistral-7B` was 68.84 and average score was 65.78.
+
+### MT-Bench
+
+########## First turn ##########
+                                          score
+model                               turn       
+fewshot_metamath_orcavicuna_mistral 1       6.9
+
+########## Second turn ##########
+                                            score
+model                               turn         
+fewshot_metamath_orcavicuna_mistral 2     6.51875
+
+########## Average ##########
+                                        score
+model                                        
+fewshot_metamath_orcavicuna_mistral  6.709375