Fine-tuning Flan-T5 LLM with HuggingFace Accelerate - Tutorial

Learn how to fine-tune a Flan-T5 Large Language Model using HuggingFace Accelerate in this hands-on coding tutorial. Follow along with real-time implementation demonstrating how to prepare code for multi-GPU or multi-TPU environments. Master the process of fine-tuning a T5 model (encoder-decoder transformer stack) for specific downstream tasks using custom datasets. Explore essential components including Docker configuration, transformer setup, preprocessing steps, and Accelerate parameters optimization. Gain practical experience implementing HuggingFace's powerful acceleration tools while working within a free Google Colab notebook environment. Reference comprehensive documentation from the HuggingFace Accelerate library to deepen understanding of the fine-tuning process.