Low-rank adaptation diagram showing decomposed weight matrices added to a transformer layer

Build a LoRA Adapter from Scratch: A Portfolio-Ready PyTorch Project

A hands-on build guide for implementing a LoRA adapter from scratch in PyTorch, including rank-decomposed weight matrices and a complete fine-tuning loop for BERT — designed to signal real ML engineering skill on a portfolio.

September 9, 2026 · 13 min · 2665 words · martinuke0
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