LoRA training test: Larger batch is 17% faster than gradient accumulation
traceml-ai · reddit · 2026-08-18
The author trained Qwen3-1.7B with LoRA on a single T4, comparing runtime speeds across different batch configurations with the same effective batch size. Results showed that a Batch Size of 4 with an accumulation of 1 was 49 seconds faster than a Batch Size of 1 with an accumulation of 4 (a 17% reduction in GPU step time), despite a slight increase in reserved memory. While gradient accumulation solves VRAM constraints, it impacts training speed. A reproducible Colab notebook is provided.
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