Update README.md

README.md

@@ -33,3 +33,10 @@ The training process was geared towards simulating verbal exchanges between doct
 - The user can take on the role of a doctor, and the model can engage in conversation with you as if it were a patient.
 - You can provide the model with a brief patient background in the system prompt, and the model will respond based on that prompt. (see [Examples](http://www.tame.org.tw/webmag/news/newsFile/508/3.110%E5%B9%B4%E7%AC%AC%E4%B8%80%E6%AC%A1OSCE%20SP%E5%8A%87%E6%83%85%E6%91%98%E8%A6%81%E9%A1%8C%E5%9E%8B%E7%AF%84%E4%BE%8B(63%E4%BE%8B).pdf))
 - Directly asking the certain disease about the symptoms and the possible therapies.**（Warning: It's not medical advice!)**
+
+### Model Evaluation
+The model got the same **TMMLU+** (0 shot) performance when evaluated using [EleutherAI/lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) with default settings.
+| Details on TMMLU+ (0 shot):<br/>Model               | STEM         | Social Science | Humanities | Other      |   AVG   |
+|-----------------------------------------------------|--------------|----------------|------------|------------|---------|
+| Taiwan-inquiry_7B_v2.0                              | 36.46        | 43.94          | 35.68      | 38.21      | 39.38   |
+| Breeze-7B-Instruct-v1_0                             | 36.46        | 43.94          | 35.68      | 38.21      | 39.38   |