Git Product home page Git Product logo

Comments (1)

BenjaminBossan avatar BenjaminBossan commented on June 2, 2024

I'm not quite sure what you mean. On the one hand, you mention targeting LoRA layers, which implies you want to exclude certain layers from target_modules. This is already possible as target_modules accepts a regex, which is flexible enough to cover most use cases. As an example, for the OPT model, if I pass LoraConfig(target_modules=r".*\.(?!5\b)\d+\.self_attn\.k_proj"), I'll match all k_proj layers except for layer 5.

On the other hand, you mention modules_to_save in the title. Note that this is not related to applying LoRA, the modules listed there are fully fine-tuned and saved in the checkpoint file. This should not automatically include your extra attention layers.

from peft.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.