Fine-tuning T5-Large Model for Text Summarization with MLFlow
The Machine Learning Engineer via YouTube
Overview
Learn how to fine-tune a T5-Large language model specifically for text summarization tasks in this 54-minute technical video. Follow along with a detailed walkthrough of implementing MLFlow for logging and tracking the entire fine-tuning process. Access the complete training pipeline through the provided Jupyter notebook, which demonstrates the practical application of MLOps principles in developing specialized language models for summarization tasks.
Syllabus
MLOps MLFlow: FineTune T5-large for Summarization #datascience #machinelearning
Taught by
The Machine Learning Engineer