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--- |
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base_model: HuggingFaceTB/SmolLM-135M-Instruct |
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datasets: HumanLLMs/Human-Like-DPO-Dataset |
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library_name: transformers |
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model_name: trainer_output |
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tags: |
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- generated_from_trainer |
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- trl |
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- reward-trainer |
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licence: license |
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--- |
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Reward model for NLP homework at HSE |
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-135M-Instruct) on the [HumanLLMs/Human-Like-DPO-Dataset](https://huggingface.co/datasets/HumanLLMs/Human-Like-DPO-Dataset) dataset. |
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It has been trained using [TRL](https://github.com/huggingface/trl). |
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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/spankevichteam/hw2-rlhf/runs/4b5k1ftd) |
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This model was trained with Reward. |
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### Framework versions |
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- TRL: 0.15.2 |
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- Transformers: 4.49.0 |
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- Pytorch: 2.5.1+cu121 |
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- Datasets: 3.3.2 |
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- Tokenizers: 0.21.0 |
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## Citations |
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Cite TRL as: |
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```bibtex |
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@misc{vonwerra2022trl, |
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title = {{TRL: Transformer Reinforcement Learning}}, |
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec}, |
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year = 2020, |
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journal = {GitHub repository}, |
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publisher = {GitHub}, |
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howpublished = {\url{https://github.com/huggingface/trl}} |
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} |
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``` |
