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--- |
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base_model: Qwen/Qwen2-VL-2B-Instruct |
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library_name: transformers |
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model_name: qwen2-7b-instruct-trl-sft-ChartQA |
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tags: |
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- generated_from_trainer |
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- trl |
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- sft |
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licence: license |
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--- |
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# Model Card for qwen2-7b-instruct-trl-sft-ChartQA |
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This model is a fine-tuned version of [Qwen/Qwen2-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct). |
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It has been trained using [TRL](https://github.com/huggingface/trl). |
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## Task |
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This model is fine-tuned for extracting tables from images with better accuracy. This model will extract tables as html table content, so it is easy to convert into any kinda table format such as csv, excel, etc |
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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/pras/adeos/runs/8p0yd79s) |
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This model was trained with SFT. |
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### Framework versions |
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- TRL: 0.14.0.dev0 |
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- Transformers: 4.49.0.dev0 |
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- Pytorch: 2.4.1+cu121 |
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- Datasets: 3.2.0 |
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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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``` |
