Improve model card: Update pipeline tag, add library name, and link paper (#1)

- Improve model card: Update pipeline tag, add library name, and link paper (92f921c845822e134ed5a982517ca2124ae3607c)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -1,47 +1,50 @@
 ---
-license: mit
-tags:
-- RLinf
+base_model:
+- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
 language:
 - en
+license: mit
 metrics:
 - accuracy
-base_model:
-- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
-pipeline_tag: reinforcement-learning
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- RLinf
+- reinforcement-learning
 model-index:
 - name: RLinf-math-7B
   results:
   - task:
-      type: math             # Required. Example: automatic-speech-recognition
+      type: math
     dataset:
-      type: aime_2024          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
-      name: AIME24         # Required. A pretty name for the dataset. Example: Common Voice (French)
+      name: AIME24
+      type: aime_2024
     metrics:
-      - type: accuracy        # Required. Example: wer. Use metric id from https://hf.co/metrics
-        value: 68.328125      # Required. Example: 20.90
+    - type: accuracy
+      value: 68.328125
   - task:
-      type: math             # Required. Example: automatic-speech-recognition
+      type: math
     dataset:
-      type: aime_2025          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
-      name: AIME25        # Required. A pretty name for the dataset. Example: Common Voice (French)
+      name: AIME25
+      type: aime_2025
     metrics:
-      - type: accuracy        # Required. Example: wer. Use metric id from https://hf.co/metrics
-        value: 52.19375      # Required. Example: 20.90
+    - type: accuracy
+      value: 52.19375
   - task:
-      type: stem             # Required. Example: automatic-speech-recognition
+      type: stem
     dataset:
-      type: gpqa_diamond          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
-      name: GPQA-diamond         # Required. A pretty name for the dataset. Example: Common Voice (French)
+      name: GPQA-diamond
+      type: gpqa_diamond
     metrics:
-      - type: accuracy        # Required. Example: wer. Use metric id from https://hf.co/metrics
-        value: 48.178124999999994      # Required. Example: 20.90
+    - type: accuracy
+      value: 48.178124999999994
 ---
 
 <div align="center">
   <img src="logo.svg" alt="RLinf-logo" width="500"/>
 </div>
 
+The model was presented in the paper [RLinf-VLA: A Unified and Efficient Framework for VLA+RL Training](https://huggingface.co/papers/2510.06710).
 
 <div align="center">
 <!-- <a href="TODO"><img src="https://img.shields.io/badge/arXiv-Paper-red?logo=arxiv"></a> -->
@@ -96,10 +99,15 @@ We trained and evaluated two models using RLinf:
 | Model                                    | AIME 24   | AIME 25   | GPQA-diamond | Average   |
 | ---------------------------------------- | --------- | --------- | ------------ | --------- |
 | [DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B)  | 54.90     | 40.20     | 45.48        | 46.86     |
+
 | [AReaL-boba-RL-7B](https://huggingface.co/inclusionAI/AReaL-boba-RL-7B)                           | 61.66     | 49.38     | 46.93        | 52.66     |
+
 | [Skywork-OR1-7B](https://huggingface.co/Skywork/Skywork-OR1-7B)                           | 66.87     | 52.49     | 44.43        | 54.60     |
+
 | [Polaris-7B-Preview](https://huggingface.co/POLARIS-Project/Polaris-7B-Preview)                    | **68.55** | 51.24     | 43.88        | 54.56     |
+
 | [AceMath-RL-Nemotron-7B](https://huggingface.co/nvidia/AceMath-RL-Nemotron-7B)                   | 67.30     | **55.00** | 45.57        | 55.96     |
+
 | [RLinf-math-7B](https://huggingface.co/RLinf/RLinf-math-7B)                            | 68.33     | 52.19     | **48.18**    | **56.23** |
 
 
@@ -128,4 +136,4 @@ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 ```
 
 ## License
-This code repository and the model weights are licensed under the MIT License.
+This code repository and the model weights are licensed under the MIT License.