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Discriminative Fine-Tuning: Why Your Backbone and Your Head Shouldn't Learn at the Same Speed

This story is from 2026-09-18. It is preserved in the archive; the latest stories are on the live feed.

I was recently fine-tuning DEIMv2 — a DETR-style detector with a DINOv3 Vision Transformer backbone — starting from a COCO-pretrained checkpoint, to build a single-class face detector. While wiring up the optimizer, I gave the backbone a learning rate of 5e-6 and the decoder head 1e-4 — a 20x gap.…

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  1. 2026-09-18 14:24 · DEV Community — Machine Learning
    Discriminative Fine-Tuning: Why Your Backbone and Your Head Shouldn't Learn at the Same Speed

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