dl-transformer-finetune

# DL Transformer Finetune ## Overview Generate reproducible fine-tuning run plans for transformer models and downstream tasks. ## Workflow 1. Define base model, task type, and dataset. 2. Set training hyperparameters and evaluation cadence. 3. Produce run plan plus model card skeleton. 4. Export configuration-ready artifacts for training pipelines. ## Use Bundled Resources - Run `scripts/build_finetune_plan.py` for deterministic plan output. - Read `references/finetune-guide.md` for hyperparameter baseline guidance. ## Guardrails - Keep run plans reproducible with explicit seeds and output directories. - Include evaluation and rollback criteria.