End of training

README.md

@@ -27,7 +27,7 @@ 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/yvonnehe499-northeastern-university/huggingface/runs/1luovg8a)
+[<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/yvonnehe499-northeastern-university/huggingface/runs/0pxz4twp)
 
 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).
 

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:078a13da2169f00828fe1d536daadbbf03c8f37cdfc668578b7b037be16016a1
+oid sha256:4080d7648fad185bd817d2a2a1e013d26c71c489f322198f56767b4a368468dc
 size 6824216

runs/Dec07_00-50-25_b7f1e1f897fe/events.out.tfevents.1733532685.b7f1e1f897fe.2874.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7e9e6eb5b2eb940fd6d0e515db3e4671559c576b116b76578436acd60b406865
-size 7519
+oid sha256:4075e51e600a6dc6e751cb437f196e03e3a3f61a655d42b9e211f25ca7f52a9b
+size 7867