Update utils.py

utils.py

@@ -57,9 +57,9 @@ SUBMIT_INTRODUCTION = """# Submit on MMEB Leaderboard Introduction
 
 ## ⚠ Please note that you need to submit the JSON file with the following format:
 
-### ***Important Notes: We have released MMEB-V2 and will deprecate MMEB-V1 soon. All further submissions should be made using the V2 format (see following).***
+### ***Important Notes: We have released MMEB-V2 and will deprecate MMEB-V1 soon.*** \n 
+### ***All further submissions should be made using the V2 format (see following).*** \n
 ### ***In V2, the detailed scores of each dataset will be included, and our code will automatically generate the results and calculate the overall scores. See the [**GitHub page**](https://github.com/TIGER-AI-Lab/VLM2Vec) for more information.***
-### **A V2 Submission would look like this:**
 ```json
 {
     "metadata": {
@@ -103,7 +103,7 @@ SUBMIT_INTRODUCTION = """# Submit on MMEB Leaderboard Introduction
     }
 }
 ```
-Note: We still accept the old format until 2025-06-30, and after that we no longer support the old format, so it is important to follow the new format for your submission. \n
+Note: We still accept the old format until 2025-06-30. 
 Please refer to the [**GitHub page**](https://github.com/TIGER-AI-Lab/VLM2Vec) for detailed instructions about evaluating your model. \n
 To submit, create a pull request and upload the generated JSON file to the ***scores*** folder, then send us an email at [email protected], including your model's information. \n We will review your submission and update the leaderboard accordingly. \n
 Please also share any feedback or suggestions you have for improving the leaderboard experience. We appreciate your contributions to the MMEB community!
@@ -179,7 +179,7 @@ def process_model_size(size):
         return 'unknown'
     try:
         val = float(size)
-        return val
+        return round(val, 3)
     except (ValueError, TypeError):
         return 'unknown'