Update README.md

README.md

@@ -105,7 +105,7 @@ We compare this to the original R1 model and test in both regimes where repetiti
 | deepseek-ai/DeepSeek-R1-Distill-Qwen-7B        | 1.0                | 60                  | 94                         |
 | deepseek-ai/DeepSeek-R1-Distill-Qwen-7B        | 1.1                | 62                  | 96                         |
 | lightblue/DeepSeek-R1-Distill-Qwen-7B-Japanese | 1.0                | 66                  | 92                         |
-| lightblue/DeepSeek-R1-Distill-Qwen-7B-Japanese | 1.1                | 70                  | 98                         |
+| lightblue/DeepSeek-R1-Distill-Qwen-7B-Japanese | 1.1                | **70**                  | **98**                         |
 
 Code for the SakanaAI/gsm8k-ja-test_250-1319 evaluation can be found [here](https://drive.google.com/file/d/1gCzCJv5vasw8R3KVQimfoIDFyfxwxNvC/view?usp=sharing).
 
@@ -118,7 +118,7 @@ This benchmark contains more varied and complex prompts, meaning this is a more
 | deepseek-ai/DeepSeek-R1-Distill-Qwen-7B        | 1.0                | 48                         |
 | deepseek-ai/DeepSeek-R1-Distill-Qwen-7B        | 1.1                | 48                         |
 | lightblue/DeepSeek-R1-Distill-Qwen-7B-Japanese | 1.0                | 84                         |
-| lightblue/DeepSeek-R1-Distill-Qwen-7B-Japanese | 1.1                | 94                         |
+| lightblue/DeepSeek-R1-Distill-Qwen-7B-Japanese | 1.1                | **94**                         |
 
 Code for the DeL-TaiseiOzaki/Tengentoppa-sft-reasoning-ja evaluation can be found [here](https://drive.google.com/file/d/1f75IM5x1SZrb300odkEsLMfKsfibrxvR/view?usp=sharing).