# 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.

- Skill: `majiayu000/dl-transformer-finetune` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/dl-transformer-finetune`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/dl-transformer-finetune/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/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.