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README.md
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### Results
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By following the **[LLM-as-Juries](https://arxiv.org/abs/2404.18796)** evaluation method, the following results were obtained using three judge models (GPT-4o, Gemini1.5 Pro and Claude 3.5-Sonnet).
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![constellation](https://i.postimg.cc/
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## Citation
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```bibtex
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@online{
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AUTHOR = {Loïc SOKOUDJOU SONAGU and Yoann SOLA},
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URL = {https://huggingface.co/cmarkea/idefics2-8b-ft-docvqa-lora},
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YEAR = {2024},
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KEYWORDS = {Multimodal ; VQA},
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}
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```
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Find the base model paper [here](https://arxiv.org/pdf/2405.02246).
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- PEFT 0.11.1
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### Results
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By following the **[LLM-as-Juries](https://arxiv.org/abs/2404.18796)** evaluation method, the following results were obtained using three judge models (GPT-4o, Gemini1.5 Pro and Claude 3.5-Sonnet). This metric was adapted to the VQA context, with clear criteria for each score (0 to 5) to ensure the highest possible precision in meeting expectations.
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![constellation](https://i.postimg.cc/t4tjhy6b/constellation-0.png)
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## Citation
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```bibtex
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@online{SOSoIdefics2,
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AUTHOR = {Loïc SOKOUDJOU SONAGU and Yoann SOLA},
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URL = {https://huggingface.co/cmarkea/idefics2-8b-ft-docvqa-lora},
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YEAR = {2024},
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KEYWORDS = {Multimodal ; VQA},
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}
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```
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