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README.md
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- sjsq/PrivacyPolicy
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language:
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- en
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- sjsq/PrivacyPolicy
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language:
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- en
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---
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# Fine-tuning Llama2-7B-Chat for Privacy Policy Q&A and Summarization
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__By Chris Puzzo and Christain Jackson__
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__For Comp741/841__
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__README updated: 5/10/24__
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The basis of this problem is to fine-tune Meta's Llama 2-7b Transformer using
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PEFT and QloRA in order to be able to analyze privacy Policies.
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Privacy Policies are written to be confusing and extremely technical, so a tool
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that helps users answer questions and summerize privacy policies can be very
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useful in knowing how personal data is being used. The HOW-TO.md file contains
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simple instructions on running the tool
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## Setup
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This tool is designed to be used on colab with the huggingface transformers
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library. The model (Llama-2-7b-privacy) is hosted on my (Chris Puzzo)
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personal [huggingface profile](https://huggingface.co/ChrisPuzzo) and is publically avalible. The model was trained
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using a training code for llama from [Maxime Labonne](https://twitter.com/maximelabonne)
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avalible [here](https://colab.research.google.com/drive/1PEQyJO1-f6j0S_XJ8DV50NkpzasXkrzd?usp=sharing)
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There is no requirments file in this repo because it uses dependencies pre-installed
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on colab.
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## Results
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tbd
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## Other things
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AS stated before, for ease of access the model we created is located on my
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huggingface account and can be used with the transformers library.
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