Dl transformer finetune
Skill 0x-Professor/Agent-Skills-Hub/skills/dl-transformer-finetune
Public skill pack for AI coding/automation/penetration-testing agents.
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Build transformer fine-tuning run plans with task settings, hyperparameters, and model-card outputs. Use for repeatable Hugging Face or PyTorch finetuning workflows.
SKILL.md
0.9 KB, as published. Nobody here has run it
DL Transformer Finetune
Overview
Generate reproducible fine-tuning run plans for transformer models and downstream tasks.
Workflow
- Define base model, task type, and dataset.
- Set training hyperparameters and evaluation cadence.
- Produce run plan plus model card skeleton.
- Export configuration-ready artifacts for training pipelines.
Use Bundled Resources
- Run
scripts/build_finetune_plan.pyfor deterministic plan output. - Read
references/finetune-guide.mdfor hyperparameter baseline guidance.
Guardrails
- Keep run plans reproducible with explicit seeds and output directories.
- Include evaluation and rollback criteria.