Fine-tuning Flan-T5 for Sequence-to-Sequence Classification with MLFlow
Offered By: The Machine Learning Engineer via YouTube
Course Description
Overview
Learn how to fine-tune a Flan-T5 model using Sequence to Sequence Classification in this 47-minute tutorial. Explore the process of implementing MLOps practices with MLFlow while working on a data science and machine learning project. Follow along with the provided GitHub notebook to gain hands-on experience in customizing and optimizing the Flan-T5 model for specific classification tasks. Enhance your skills in model fine-tuning, MLOps, and sequence-to-sequence learning techniques applicable to various natural language processing challenges.
Syllabus
MLOps MLFlow: Fine tune Flan-T5 Seq-to-Seq 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