End of training

README.md

@@ -4,8 +4,7 @@ library_name: transformers
 model_name: SmolLM2-FT-DPO2
 tags:
 - generated_from_trainer
-- smol-course
-- module_1
+- dpo-smolK12-100
 - trl
 - dpo
 licence: license
@@ -29,7 +28,7 @@ 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/thatupiso-code-org/huggingface/runs/qr19ujp2)
+[<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/thatupiso-code-org/huggingface/runs/xpcn3ywm)
 
 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).
 

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