Gradient Accumulation: A Comprehensive Technical Guide to Training Large-Scale Models on Memory-Constrained Hardware
Executive Summary Gradient accumulation is a pivotal technique in modern deep learning, designed to enable the training of models with large effective batch sizes on hardware constrained by limited memory.1 Read More …