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  - sjsq/PrivacyPolicy
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  language:
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  - en
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - sjsq/PrivacyPolicy
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  language:
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  - en
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+ ---
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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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+
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+ __For Comp741/841__
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+
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+ __README updated: 5/10/24__
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+
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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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+
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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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+
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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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+
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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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+
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+ ## Results
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+ tbd
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+
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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.