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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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datasets:
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- OpenAssistant/oasst1
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language:
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- en
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---
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## 🐋 Humback
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The proposed Humback is a novel framework that can augment the instruction data for supervised fine-tuning with high quality.
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This is a backward model $M_{yx}$ for [Humback](https://arxiv.org/pdf/2308.06259.pdf) reproduction.
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This model is trained on the seed data in a reversed order (generate instruction given response).
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The seed data is a sampled dataset from [oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1).
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You may find more details and usage examples in [Spico197/Humback](https://github.com/Spico197/Humback) .
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## 📜 Reference
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```bibtex
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@misc{li2023selfalignment,
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title={Self-Alignment with Instruction Backtranslation},
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author={Xian Li and Ping Yu and Chunting Zhou and Timo Schick and Luke Zettlemoyer and Omer Levy and Jason Weston and Mike Lewis},
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year={2023},
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eprint={2308.06259},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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