Model save
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README.md
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---
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base_model: allenai/OLMo-1B-hf
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library_name:
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model_name: OLMo-1B-hf-DPO-constitution-2
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tags:
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- generated_from_trainer
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## Training procedure
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[<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/shahrad_m/DPO-OLMo-1B-hf-constitution-2/runs/
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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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### Framework versions
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- PEFT 0.13.2
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- TRL: 0.12.1
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- Transformers: 4.46.2
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- Pytorch: 2.5.1
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---
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base_model: allenai/OLMo-1B-hf
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library_name: transformers
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model_name: OLMo-1B-hf-DPO-constitution-2
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tags:
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- generated_from_trainer
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## Training procedure
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[<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/shahrad_m/DPO-OLMo-1B-hf-constitution-2/runs/hpghf4ax)
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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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### Framework versions
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- TRL: 0.12.1
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- Transformers: 4.46.2
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- Pytorch: 2.5.1
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