Fine-tuning Flan-T5 for Text Classification with MLFlow

Fine-tuning Flan-T5 for Text Classification with MLFlow

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.