Update README.md

README.md

@@ -1,47 +1,45 @@
 ---
-license: Apache License 2.0
-
-#model-type:
-##如 gpt、phi、llama、chatglm、baichuan 等
-#- gpt
-
-#domain:
-##如 nlp、cv、audio、multi-modal
-#- nlp
-
-#language:
-##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
-#- cn 
-
-#metrics:
-##如 CIDEr、Blue、ROUGE 等
-#- CIDEr
-
-#tags:
-##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
-#- pretrained
-
-#tools:
-##如 vllm、fastchat、llamacpp、AdaSeq 等
-#- vllm
+library_name: transformers
+license: mit
+datasets:
+- HuggingFaceH4/ultrafeedback_binarized
+language:
+- en
 ---
-### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
-#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型
+<!-- This is a model released from the preprint: *[Bootstrapping Language Models with DPO Implicit Rewards](https://arxiv.org/abs/2406.09760)*. Please refer to our [repository](https://github.com/sail-sg/dice) for more details. -->
 
-SDK下载
-```bash
-#安装ModelScope
-pip install modelscope
-```
-```python
-#SDK模型下载
-from modelscope import snapshot_download
-model_dir = snapshot_download('sail/Llama-3-Base-8B-DICE-Iter2')
-```
-Git下载
-```
-#Git模型下载
-git clone https://www.modelscope.cn/sail/Llama-3-Base-8B-DICE-Iter2.git
-```
+# Llama-3-Base-8B-DICE-Iter2
 
-<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>
+This model was developed using [Bootstrapping Language Models with DPO Implicit Rewards](https://arxiv.org/abs/2406.09760) (DICE) at iteration 2, based on the [princeton-nlp/Llama-3-Base-8B-SFT-DPO](https://huggingface.co/princeton-nlp/Llama-3-Base-8B-SFT-DPO) architecture as the starting point. 
+
+<!-- We utilized the prompt sets extracted from [HuggingFaceH4/ultrafeedback_binarized](https://huggingface.co/datasets/HuggingFaceH4/ultrafeedback_binarized). -->
+
+## Links to Other Models
+- [Llama-3-Base-8B-DICE-Iter1](https://huggingface.co/sail/Llama-3-Base-8B-DICE-Iter1)
+- [Llama-3-Base-8B-DICE-Iter2](https://huggingface.co/sail/Llama-3-Base-8B-DICE-Iter2)
+
+## Model Description
+
+- Model type: An 8B parameter GPT-like model fine-tuned on synthetic datasets.
+- Language(s) (NLP): Primarily English
+- License: MIT
+- Fine-tuned from model: princeton-nlp/Llama-3-Base-8B-SFT-DPO
+
+## [AlpacaEval Leaderboard Evaluation Results](https://tatsu-lab.github.io/alpaca_eval/)
+
+|                Model                           | LC. Win Rate | Win Rate | 
+|-------------------------------------------|:------------:|:--------:|
+|[Llama-3-Base-8B-SFT-DPO](https://huggingface.co/princeton-nlp/Llama-3-Base-8B-SFT-DPO) |18.20 |15.50
+|[Llama-3-Base-8B-DICE-Iter1](https://huggingface.co/sail/Llama-3-Base-8B-DICE-Iter1) |25.08 |25.77
+|[Llama-3-Base-8B-DICE-Iter2](https://huggingface.co/sail/Llama-3-Base-8B-DICE-Iter2) |**27.55** |**30.99**
+
+## Citation
+
+```bibtex
+@article{chen2024bootstrapping,
+  title={Bootstrapping Language Models with DPO Implicit Rewards},
+  author={Chen, Changyu and Liu, Zichen and Du, Chao and Pang, Tianyu and Liu, Qian and Sinha, Arunesh and Varakantham, Pradeep and Lin, Min},
+  journal={arXiv preprint arXiv:2406.09760},
+  year={2024}
+}
+```