Reproducible recipe

LoRA, DoRA, and adapter geometry

Adapt a frozen Mac-local base to one narrow behavior.. The base misses a bounded task and full fine-tuning is unnecessary or too costly.

Status
validated with caveat
Learning path
post training
Regression slices
5
Execution
Fresh experiment required

Target

Adapt a frozen Mac-local base to one narrow behavior.

Failure this recipe addresses

The base misses a bounded task and full fine-tuning is unnecessary or too costly.

Data contract

Frozen train/validation/test splits with a tiny-overfit gate and breadth data.

Method or policy

Train named target modules at a fixed rank and inspect effective-update geometry before changing capacity.

Evaluation contract

Target before/after score on a sealed holdout.

  • breadth
  • safety
  • format
  • adapter geometry
  • serve/load parity

Budget and stop rule

Fresh experiment only; one tiny-overfit and one bounded candidate before rank or module sweeps.

Stop if tiny overfit fails, the target plateaus, or required breadth regresses beyond the frozen threshold.

Decision rule

Ship, route, retry, or reject from the same frozen report card.

Learning exercise

Run or inspect LoRA geometry for one successful and one failed adapter.

Explain rank, target modules, effective rank, and why lower loss is insufficient.

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Source provenance

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