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--- |
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base_model: Qwen/Qwen2-0.5B-Instruct |
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datasets: trl-lib/ultrafeedback-prompt |
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library_name: transformers |
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model_name: online-dpo-qwen2-4 |
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tags: |
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- trl |
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- generated_from_trainer |
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- online-dpo |
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licence: license |
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--- |
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# Model Card for online-dpo-qwen2-4 |
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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-prompt](https://huggingface.co/datasets/trl-lib/ultrafeedback-prompt) 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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```python |
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from transformers import pipeline |
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?" |
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generator = pipeline("text-generation", model="qgallouedec/online-dpo-qwen2-4", device="cuda") |
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output = generator([{"role": "user", "content": question}], max_new_tokens=500)[0] |
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print(output["generated_text"][1]["content"]) |
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``` |
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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/huggingface/runs/8q6fzgyf) |
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This model was trained with Online DPO, a method introduced in [Direct Language Model Alignment from Online AI Feedback](https://huggingface.co/papers/2402.04792). |
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### Framework versions |
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- TRL: 0.12.0.dev0 |
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- Transformers: 4.45.0.dev0 |
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- Pytorch: 2.4.1 |
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- Datasets: 3.0.0 |
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- Tokenizers: 0.19.1 |
