Update README.md

README.md

@@ -109,9 +109,8 @@ Performance-wise:
 
 \* Taiwan-LLM models responds to multi-turn questions (English) in Traditional Chinese.
 
-**Details of MT-Bench-tw (0 shot):**
 
-| Models                                              | STEM    |Extraction|Reasoning| Math   | Coding  | Roleplay| Writing |Humanities|↑ AVG   |
+| Details of MT-Bench-tw (0 shot):<br/>Models         | STEM    |Extraction|Reasoning| Math   | Coding  | Roleplay| Writing |Humanities|↑ AVG   |
 |-----------------------------------------------------|---------|---------|---------|---------|---------|---------|---------|---------|---------|
 | gpt-3.5-turbo                                       |  7.8    |  6.1    |   5.1   |   6.4   |  6.2    |   8.7   |   7.4   |   9.3   |   7.1   |
 | Yi-34B-Chat                                         |  9.0    |  4.8    |   5.7   |   4.0   |  4.7    |   8.5   |   8.7   |   9.8   |   6.9   |
@@ -123,9 +122,8 @@ Performance-wise:
 | Taiwan-LLM-13B-v2.0-chat                            |  6.1    |  3.4    |   4.1   |   2.3   |  3.1    |   7.4   |   6.6   |   6.8   |   5.0   |
 | Taiwan-LLM-7B-v2.1-chat                             |  5.2    |  2.6    |   2.3   |   1.2   |  3.4    |   6.6   |   5.7   |   6.8   |   4.2   |
 
-**Details of TMMLU+ (0 shot):**   
 
-| Model                                               | STEM         | Social Science | Humanities | Other      | ↑ AVG   |
+| Details of TMMLU+ (0 shot):<br/>Model               | STEM         | Social Science | Humanities | Other      | ↑ AVG   |
 |-----------------------------------------------------|--------------|----------------|------------|------------|---------|
 | Yi-34B-Chat                                         | 47.65        | 64.25          | 52.73      | 54.91      | 54.87   |
 | Qwen-14B-Chat                                       | 43.83        | 55.00          | 48.55      | 46.22      | 48.41   |