AI article
Discriminative Fine-Tuning: Why Your Backbone and Your Head Shouldn't Learn at the Same Speed
Community description: I was recently fine-tuning DEIMv2 — a DETR-style detector with a DINOv3 Vision Transformer backbone —...
Dev.to | Sep 18, 2026 | Dai Nguyen
Automated excerpt
It's a named, well-established technique called discriminative fine-tuning, or layer-wise learning rate decay (LLRD). The pretrained checkpoint comes from a different domain or task than the one you're fine-tuning for. The starting checkpoint already solves your exact task — you're extending training, not transferring across tasks.
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