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README.md
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- lora
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datasets:
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- Multimodal-Fatima/FGVC_Aircraft_train
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---
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# pixtral_aerial_VQA_adapter
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- **Training method**: LoRA (Low-Rank Adaptation)
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- **Base model**: Ertugrul/Pixtral-12B-Captioner-Relaxed
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- **Training hardware**: Nebius-hosted NVIDIA H100 machine
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- lora
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datasets:
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- Multimodal-Fatima/FGVC_Aircraft_train
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- takara-ai/FloodNet_2021-Track_2_Dataset_HF
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---
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# pixtral_aerial_VQA_adapter
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- **Training method**: LoRA (Low-Rank Adaptation)
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- **Base model**: Ertugrul/Pixtral-12B-Captioner-Relaxed
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- **Training hardware**: Nebius-hosted NVIDIA H100 machine
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## Citation
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```bibtext
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@misc{rahnemoonfar2020floodnet,
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title={FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding},
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author={Maryam Rahnemoonfar and Tashnim Chowdhury and Argho Sarkar and Debvrat Varshney and Masoud Yari and Robin Murphy},
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year={2020},
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eprint={2012.02951},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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doi={10.48550/arXiv.2012.02951}
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}
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```
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