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  1. README.md +2 -3
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  ---
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  base_model: Qwen/Qwen2-0.5B-Instruct
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- datasets: trl-lib/ultrafeedback_binarized
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  library_name: transformers
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  model_name: Qwen2-0.5B-Reward_VPO_1e-4
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  tags:
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  # Model Card for Qwen2-0.5B-Reward_VPO_1e-4
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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/ultrafeedback_binarized](https://huggingface.co/datasets/trl-lib/ultrafeedback_binarized) 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/bonin147/huggingface/runs/hnpvphwa)
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  This model was trained with Reward.
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  ---
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  base_model: Qwen/Qwen2-0.5B-Instruct
 
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  library_name: transformers
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  model_name: Qwen2-0.5B-Reward_VPO_1e-4
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  tags:
 
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  # Model Card for Qwen2-0.5B-Reward_VPO_1e-4
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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).
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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/bonin147/huggingface/runs/i3llmmh1)
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  This model was trained with Reward.
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