Update README.md

README.md

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 II-Medical-7B-Preview is a medical reasoning model trained on a [comprehensive dataset](https://huggingface.co/datasets/Intelligent-Internet/II-Medical-Reasoning-SFT-V0) of medical knowledge. The model is designed to enhance AI capabilities in medical. 
 ## II. Training Methodology
 
-We collected and generated a comprehensive set of reasoning datasets for the medical domain and performed SFT fine-tuning on the Qwen/Qwen2.5-7B-Instruct model. Following this, we further optimized the SFT model by training DAPO on a hard-reasoning dataset to boost performance.
+We collected and generated a comprehensive set of reasoning datasets for the medical domain and performed SFT fine-tuning on the **Qwen/Qwen2.5-7B-Instruct** model. Following this, we further optimized the SFT model by training DAPO on a hard-reasoning dataset to boost performance.
 
 For SFT stage we using the hyperparameters: 
 
@@ -46,7 +46,7 @@ Journal of Medicine,  4 Options  and 5 Options splits from the MedBullets platfo
 | Med-reason               | 61.67 | 71.87 | 77.4   | 64.1   | 50.51| 59.7   | 60.06  | 54.22  |22.87 |66.8   | 59.92 |
 | M1                       | 62.54 | 75.81 | 75.80  | 65.86  | 53.08| 62.62  | 63.64  | 59.74  |19.59 |64.34  | 60.3  |
 | II-Medical-7B-Preview-Wo-RL | 69.13 | 84.05 | 77.5   | 73.49  | 55.12| **67.71**  | 69.48  | 64.28  |19.51 |**70.64**  | 65.1  |
-| II-Medical-7B-Preview-RL | **69.42** | **85.15** | 77.9   | **77.26**  | **55.90**| **65.29**  | **72.72**  | **68.50**  |**22.97** |68.66  | **66.4**  |
+| II-Medical-7B-Preview-RL | **69.42** | **85.15** | 77.9   | **77.26**  | **55.90**| 65.29  | **72.72**  | **68.50**  |**22.97** |68.66  | **66.4**  |