Agent skill

dl-transformer-finetune

Build transformer fine-tuning run plans with task settings, hyperparameters, and model-card outputs. Use for repeatable Hugging Face or PyTorch finetuning workflows.

Stars 163
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/dl-transformer-finetune

SKILL.md

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.

Expand your agent's capabilities with these related and highly-rated skills.

Didn't find tool you were looking for?

Be as detailed as possible for better results