Course

Finetuning Transformer Models

Master the art of LLM finetuning with LoRA, QLoRA, and Hugging Face. Learn how to prepare, train and optimize models for specific tasks efficiently.

Built in partnership withHugging Face
  • Skill level

    Intermediate
  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
    2 hours
  • Certificate of completion

    Included with paid plans
  • Prerequisites

    1 course
    We suggest you complete the following courses before you get started with Finetuning Transformer Models:
    • Intro to AI Transformers

About this course

Finetuning is an essential skill in the world of Large Language Models (LLMs), allowing you to customize pre-trained transformer models for specific tasks. This course will guide you through the practical process of finetuning using popular tools like LoRA, quantization, and QLoRA, using Hugging Face libraries and the popular Mistral series of open-weight LLMs. You’ll learn about the life cycle of finetuning, GPU usage in deep learning, and parameter-efficient finetuning (PEFT).

Skills you'll gain

  • Learn how to prepare training data for finetuning

  • Understand how to perform full finetunes using Hugging Face

  • Get hands-on experience with PEFT and 4-bit quantization techniques

Syllabus

3 lessons • 2 quizzes

The platform

Hands-on learning

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Reviews from learners

  • The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.
    Chris
    Codecademy Learner @ USA
  • I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.
    Rodrigo
    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    John-Andrew
    Codecademy Learner @ USA

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Frequently asked questions about Finetuning Transformer Models

  • Finetuning is the process of training a pre-trained deep learning model further using your own custom data, resulting in a customized (“finetuned”) model.

Join over 50 million learners and start Finetuning Transformer Models today!

Unlock additional features with a paid plan

  • Practice Projects

    Guided projects that help you solidify the skills and concepts you're learning.
  • Assessments

    Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.
  • Certificate of Completion

    Earn a document to prove you've completed a course or path that you can share with your network.