OpenCLIP adds layer-wise LR decay for text and image encoders to curb forgetting under distribution shift

wightmanr · x · 2026-11-13

An OpenCLIP contributor announced support for layer-wise LR decay on text and image encoders, aimed at mitigating forgetting when adapting models under large distribution shifts.

The author also notes that further fine-tuning CLIP models with contrastive losses usually fails due to data scarcity or quality, especially when data diverges significantly from the training distribution. He suggests most decent coding agents can orchestrate the needed experiments on OpenCLIP, particularly the 4.x main branch, which cleaned up the training design.

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