End of training
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- training_args.bin +2 -2
README.md
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---
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base_model: Qwen/Qwen2-0.5B-Instruct
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datasets: trl-lib/
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library_name: transformers
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model_name: dpo-qwen2
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tags:
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# Model Card for dpo-qwen2
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This model is a fine-tuned version of [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) on the [trl-lib/
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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/huggingface/
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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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base_model: Qwen/Qwen2-0.5B-Instruct
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datasets: trl-lib/Capybara-Preferences
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library_name: transformers
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model_name: dpo-qwen2
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tags:
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# Model Card for dpo-qwen2
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This model is a fine-tuned version of [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) on the [trl-lib/Capybara-Preferences](https://huggingface.co/datasets/trl-lib/Capybara-Preferences) dataset.
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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/huggingface/trl/runs/a8jlsgpf)
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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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model.safetensors
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training_args.bin
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