Model save

README.md

@@ -27,15 +27,15 @@ print(output["generated_text"])
 
 ## 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/jise/huggingface/runs/vzkfljfz)
+[<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/jise/huggingface/runs/95dj5zn3)
 
 This model was trained with DPO, a method introduced in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://huggingface.co/papers/2305.18290).
 
 ### Framework versions
 
 - TRL: 0.12.1
-- Transformers: 4.46.2
-- Pytorch: 2.5.1+cu121
+- Transformers: 4.46.3
+- Pytorch: 2.1.0+cu118
 - Datasets: 3.1.0
 - Tokenizers: 0.20.3
 

generation_config.json

@@ -3,5 +3,5 @@
   "decoder_start_token_id": 0,
   "eos_token_id": 1,
   "pad_token_id": 0,
-  "transformers_version": "4.46.2"
+  "transformers_version": "4.46.3"
 }