Tag: distributed training

This tutorial explores the process of distributed fine-tuning of a BERT Large model for question-answering tasks using Hugging Face Transformers on Amazon SageMaker. It details the benefits of distributed training, including data and model parallelism, and provides practical steps for implementing these techniques within the SageMaker environment. The article aims to guide data scientists and ML engineers in accelerating their training workflows from days to hours.