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When fine-tuning an LLM, how do you decide which layers/modules to train before actually running the experiment?

For example, how do you determine whether to fine-tune:only adapters/LoRA specific transformer layers input/projector layers deeper/middle layers or the full model? Are there reliable diagnostics, probing methods, gradient analysis, ablations, or small-scale tests that can tell you where the bottle…

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  1. 2026-09-20 15:48 · r/learnmachinelearning
    When fine-tuning an LLM, how do you decide which layers/modules to train before actually running the experiment?

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