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  1. README.md +2 -3
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  ---
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- base_model: google/flan-t5-base
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  library_name: transformers
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  model_name: flan-t5-hh-dpo-lora
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  tags:
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  # Model Card for flan-t5-hh-dpo-lora
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- This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base).
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  It has been trained using [TRL](https://github.com/huggingface/trl).
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  ## Quick start
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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/jise/huggingface/runs/7jptxtmr)
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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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  ---
 
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  library_name: transformers
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  model_name: flan-t5-hh-dpo-lora
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  tags:
 
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  # Model Card for flan-t5-hh-dpo-lora
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+ This model is a fine-tuned version of [None](https://huggingface.co/None).
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  It has been trained using [TRL](https://github.com/huggingface/trl).
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  ## Quick start
 
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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/jise/huggingface/runs/f4ep002g)
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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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