Finetuning Large Language Models On A Single GPU Using Gradient Accumulation
Read OriginalThis technical tutorial explains how to finetune large language models (specifically BLOOM-560M) for text classification using a single GPU. It details the gradient accumulation technique as a workaround for memory constraints, allowing for effective training with limited hardware. The article includes practical code examples using PyTorch, Lightning, and Hugging Face Transformers.
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