Update README.md

README.md

@@ -43,8 +43,10 @@ Total trained query and document pair is 100,000.<br>
 ### Training Details
 The overall training process was conducted with reference to **snowflake-arctic-2.0**.<br>
 Training was divided into two stages: Pre-training and Post-training.<br>
-In the pre-training stage, the model was trained using in-batch negatives.<br>
-In the post-training stage, we utilized the multilingual-e5-large model to identify hard negatives—specifically, the top 4 samples with a similarity score below a **99% threshold**.<br>
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+* In the pre-training stage, the model was trained using in-batch negatives.
+* In the post-training stage, we utilized the multilingual-e5-large model to identify hard negatives—specifically, the top 4 samples with a similarity score below a **99% threshold**.
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 Given the increasing prevalence of LLM-generated content, we also converted existing data into Markdown-style passages to improve retrieval performance on such formats.<br>
 The types of data augmentation applied are as follows:<br>
 | Augmentation* | Description |