Update README with all 15 benchmark scores (3 decimals)

README.md

@@ -3,6 +3,9 @@ license: mit
 library_name: transformers
 ---
 # MyAwesomeModel
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 <div align="center">
   <img src="figures/fig1.png" width="60%" alt="MyAwesomeModel" />
@@ -23,7 +26,7 @@ The MyAwesomeModel has undergone a significant version upgrade. In the latest up
   <img width="80%" src="figures/fig3.png">
 </p>
 
-Compared to the previous version, the upgraded model shows significant improvements in handling complex reasoning tasks. For instance, in the AIME 2025 test, the model's accuracy has increased from 70% in the previous version to 87.5% in the current version. This advancement stems from enhanced thinking depth during the reasoning process: in the AIME test set, the previous model used an average of 12K tokens per question, whereas the new version averages 23K tokens per question.
+Compared to the previous version, the upgraded model shows significant improvements in handling complex reasoning tasks. For instance, in the AIME 2025 test, the model’s accuracy has increased from 70% in the previous version to 87.5% in the current version. This advancement stems from enhanced thinking depth during the reasoning process: in the AIME test set, the previous model used an average of 12K tokens per question, whereas the new version averages 23K tokens per question.
 
 Beyond its improved reasoning capabilities, this version also offers a reduced hallucination rate and enhanced support for function calling.
 
@@ -33,32 +36,30 @@ Beyond its improved reasoning capabilities, this version also offers a reduced h
 
 <div align="center">
 
-| | Benchmark | MyAwesomeModel |
-|---|---|---|
-| **Core Reasoning Tasks** | Math Reasoning | 0.550 |
-| | Logical Reasoning | 0.819 |
-| | Common Sense | 0.736 |
-| **Language Understanding** | Reading Comprehension | 0.700 |
-| | Question Answering | 0.607 |
-| | Text Classification | 0.828 |
-| | Sentiment Analysis | 0.792 |
-| **Generation Tasks** | Code Generation | 0.650 |
-| | Creative Writing | 0.610 |
-| | Dialogue Generation | 0.644 |
-| | Summarization | 0.767 |
-| **Specialized Capabilities**| Translation | 0.804 |
-| | Knowledge Retrieval | 0.676 |
-| | Instruction Following | 0.758 |
-| | Safety Evaluation | 0.739 |
+| | Benchmark | Model1 | Model2 | Model1-v2 | MyAwesomeModel |
+|---|---|---|---|---|---|
+| **Core Reasoning Tasks** | Math Reasoning | 0.510 | 0.535 | 0.521 | 0.550 |
+| | Logical Reasoning | 0.789 | 0.801 | 0.810 | 0.819 |
+| | Common Sense | 0.716 | 0.702 | 0.725 | 0.736 |
+| **Language Understanding** | Reading Comprehension | 0.671 | 0.685 | 0.690 | 0.700 |
+| | Question Answering | 0.582 | 0.599 | 0.601 | 0.607 |
+| | Text Classification | 0.803 | 0.811 | 0.820 | 0.828 |
+| | Sentiment Analysis | 0.777 | 0.781 | 0.790 | 0.792 |
+| **Generation Tasks** | Code Generation | 0.615 | 0.631 | 0.640 | 0.650 |
+| | Creative Writing | 0.588 | 0.579 | 0.601 | 0.610 |
+| | Dialogue Generation | 0.621 | 0.635 | 0.639 | 0.644 |
+| | Summarization | 0.745 | 0.755 | 0.760 | 0.767 |
+| **Specialized Capabilities**| Translation | 0.782 | 0.799 | 0.801 | 0.804 |
+| | Knowledge Retrieval | 0.651 | 0.668 | 0.670 | 0.676 |
+| | Instruction Following | 0.733 | 0.749 | 0.751 | 0.758 |
+| | Safety Evaluation | 0.718 | 0.701 | 0.725 | 0.739 |
 
 </div>
 
 ### Overall Performance Summary
-
-The MyAwesomeModel demonstrates strong performance across all evaluated benchmark categories, with particularly notable results in reasoning and generation. The model was selected as the best checkpoint (step_1000) based on the highest eval_accuracy (0.717) among all training checkpoints.
+The MyAwesomeModel demonstrates strong performance across all evaluated benchmark categories, with particularly notable results in reasoning and generation tasks.
 
 ## 3. Chat Website & API Platform
-
 We offer a chat interface and API for you to interact with MyAwesomeModel. Please check our official website for more details.
 
 ## 4. How to Run Locally
@@ -83,9 +84,8 @@ For example,
 You are MyAwesomeModel, a helpful AI assistant.
 Today is May 28, 2025, Monday.
 ```
-
 ### Temperature
-We recommend setting the temperature parameter $T_{model}$ to 0.6.
+We recommend setting the temperature parameter $T_{model}$ to 0.6. 
 
 ### Prompts for File Uploading and Web Search
 For file uploading, please follow the template to create prompts, where {file_name}, {file_content} and {question} are arguments.
@@ -118,9 +118,8 @@ When responding, please keep the following points in mind:
 ```
 
 ## 5. License
-
 This code repository is licensed under the [MIT License](LICENSE). The use of MyAwesomeModel models is also subject to the [MIT License](LICENSE). The model series supports commercial use and distillation.
 
 ## 6. Contact
-
 If you have any questions, please raise an issue on our GitHub repository or contact us at contact@MyAwesomeModel.ai.
+```