Fine-tuning Flan-T5 for Text Classification with MLFlow
Offered By: The Machine Learning Engineer via YouTube
Course Description
Overview
Learn how to personalize a T5 base model for sequence classification using your own dataset to classify documents in this 48-minute tutorial. Explore the process of fine-tuning the Flan-T5 model for text classification tasks while incorporating MLOps practices with MLFlow. Gain hands-on experience in customizing large language models for specific document classification needs, enhancing your skills in data science and machine learning. Access the accompanying Jupyter notebook on GitHub to follow along and implement the techniques demonstrated in the tutorial.
Syllabus
MLOps MLFlow: Fine tune Flan-T5 for text classification. #datascience #machinelearning
Taught by
The Machine Learning Engineer
Related Courses
Predicción del fraude bancario con autoML y PycaretCoursera Project Network via Coursera Clasificación de datos de Satélites con autoML y Pycaret
Coursera Project Network via Coursera Regresión (ML) en la vida real con PyCaret
Coursera Project Network via Coursera ML Pipelines on Google Cloud
Google Cloud via Coursera ML Pipelines on Google Cloud
Pluralsight