End of training

README.md

@@ -28,7 +28,7 @@ print(output["generated_text"][1]["content"])
 
 ## Training procedure
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/huggingface/huggingface/runs/9fvfu3z2)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/huggingface/huggingface/runs/pya9ndl2)
 
 This model was trained with XPO, a method introduced in [Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF](https://huggingface.co/papers/2405.21046).
 
@@ -38,4 +38,33 @@ This model was trained with XPO, a method introduced in [Exploratory Preference
 - Transformers: 4.45.0.dev0
 - Pytorch: 2.4.1
 - Datasets: 3.0.0
-- Tokenizers: 0.19.1
+- Tokenizers: 0.19.1
+
+## Citations
+
+Cite XPO as:
+    
+```bibtex
+@article{jung2024binary,
+            title        = {{Binary Classifier Optimization for Large Language Model Alignment}},
+            author       = {Seungjae Jung and Gunsoo Han and Daniel Wontae Nam and Kyoung{-}Woon On},
+            year         = 2024,
+            eprint       = {arXiv:2404.04656}
+        }
+        
+```
+
+Cite TRL as:
+    
+```bibtex
+
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+
+}
+```