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/erixlr9e)
+[<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/bg6y6mom)
 
 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).
 
@@ -46,12 +46,11 @@ 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}
-        }
-        
+    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: