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- question answering
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- RAG
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- Retrieval Augmented Generation
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- question answering
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- RAG
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- Retrieval Augmented Generation
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---
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<p align="center">
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<a alt="Ask2Democracy project" ref="https://github.com/jorge-henao/ask2democracy">Ask2Democracy project</a>
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</p>
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<hr>
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## What's Baize-lora-7B-ask2democracy-cfqa?
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This model is an open-source chat model fine-tuned with [LoRA](https://github.com/microsoft/LoRA) inspired by [Baize project](https://github.com/project-baize/baize-chatbot/tree/main/). It was trained with the Baize datasets and the ask2democracy-cfqa-salud-pension dataset, wich contains almost 4k instructions to answers questions based on a context relevant to citizen concerns and public debate in spanish.
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- **Developed by:**
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- 🇨🇴 [Jorge Henao](https://huggingface.co/jorge-henao)
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- 🇨🇴 [David Torres ](https://github.com/datorresb)
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## Training Parameters
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- Base Model: [LLaMA-7B](https://arxiv.org/pdf/2302.13971.pdf)
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- Training Epoch: 1
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- Batch Size: 16
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- Maximum Input Length: 512
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- Learning Rate: 2e-4
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- LoRA Rank: 8
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- Updated Modules: All Linears
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## Training Dataset
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- [Ask2Democracy-cfqa-salud-pension]([https://github.com/tatsu-lab/stanford_alpaca](https://huggingface.co/datasets/hackathon-somos-nlp-2023/ask2democracy-cfqa-salud-pension) (3806)
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- [Standford Alpaca](https://github.com/tatsu-lab/stanford_alpaca) (51,942)
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- [Quora Dialogs](https://github.com/project-baize/baize) (54,456):
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- [StackOverflow Dialogs](https://github.com/project-baize/baize) (57,046)
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- [Alpacaca chat Dialogs](https://github.com/project-baize/baize)
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- [Medical chat Dialogs](https://github.com/project-baize/baize)
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More details can be found in the Ask2Democracy [GitHub]((https://github.com/jorge-henao/ask2democracy))
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