Add metadata and improve model card
#1
by nielsr HF Staff - opened
README.md
CHANGED
|
@@ -1,12 +1,15 @@
|
|
| 1 |
---
|
| 2 |
license: mit
|
|
|
|
|
|
|
| 3 |
---
|
|
|
|
| 4 |
<div align="center">
|
| 5 |
<h1 align="center"> KnowRL </h1>
|
| 6 |
<h3 align="center"> Exploring Knowledgeable Reinforcement Learning for Factuality </h3>
|
| 7 |
|
| 8 |
<p align="center">
|
| 9 |
-
<a href="https://
|
| 10 |
<a href="https://github.com/zjunlp/KnowRL">💻GitHub Repo</a> •
|
| 11 |
<a href="https://huggingface.co/datasets/zjunlp/KnowRL-Train-Data">📖Dataset</a>
|
| 12 |
</p>
|
|
@@ -66,8 +69,7 @@ huggingface-cli download zjunlp/KnowRL-Skywork-OR1-7B-Preview --local-dir KnowRL
|
|
| 66 |
|
| 67 |
The model is trained using Knowledgeable Reinforcement Learning (RL) (specifically GRPO) using data from the `zjunlp/KnowRL-Train-Data`.
|
| 68 |
|
| 69 |
-
For complete details on the training configuration and hyperparameters, please refer to our [GitHub repository](https://github.com/zjunlp/KnowRL
|
| 70 |
-
).
|
| 71 |
|
| 72 |
---
|
| 73 |
|
|
@@ -76,8 +78,8 @@ If you find this model useful in your research, please consider citing our paper
|
|
| 76 |
```bibtex
|
| 77 |
@article{ren2025knowrl,
|
| 78 |
title={KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality},
|
| 79 |
-
author={Ren, Baochang and Qiao, Shuofei and Yu, Wenhao and Chen, Huajun and Zhang, Ningyu},
|
| 80 |
journal={arXiv preprint arXiv:2506.19807},
|
| 81 |
year={2025}
|
| 82 |
}
|
| 83 |
-
```
|
|
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
+
library_name: transformers
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
---
|
| 6 |
+
|
| 7 |
<div align="center">
|
| 8 |
<h1 align="center"> KnowRL </h1>
|
| 9 |
<h3 align="center"> Exploring Knowledgeable Reinforcement Learning for Factuality </h3>
|
| 10 |
|
| 11 |
<p align="center">
|
| 12 |
+
<a href="https://huggingface.co/papers/2506.19807">📄Paper</a> •
|
| 13 |
<a href="https://github.com/zjunlp/KnowRL">💻GitHub Repo</a> •
|
| 14 |
<a href="https://huggingface.co/datasets/zjunlp/KnowRL-Train-Data">📖Dataset</a>
|
| 15 |
</p>
|
|
|
|
| 69 |
|
| 70 |
The model is trained using Knowledgeable Reinforcement Learning (RL) (specifically GRPO) using data from the `zjunlp/KnowRL-Train-Data`.
|
| 71 |
|
| 72 |
+
For complete details on the training configuration and hyperparameters, please refer to our [GitHub repository](https://github.com/zjunlp/KnowRL).
|
|
|
|
| 73 |
|
| 74 |
---
|
| 75 |
|
|
|
|
| 78 |
```bibtex
|
| 79 |
@article{ren2025knowrl,
|
| 80 |
title={KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality},
|
| 81 |
+
author={Ren, Baochang and Qiao, Shuofei env. and Yu, Wenhao and Chen, Huajun and Zhang, Ningyu},
|
| 82 |
journal={arXiv preprint arXiv:2506.19807},
|
| 83 |
year={2025}
|
| 84 |
}
|
| 85 |
+
```
|