Update README.md

README.md

@@ -6,4 +6,40 @@ datasets:
 language:
 - en
 ---
-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.
+<!-- 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. -->
+
+# Llama-3-Base-8B-DICE-Iter2
+
+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}
+}
+```