0x-professor/agent-skills-hub/dl-transformer-finetune

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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.

Install

npx vskill@latest install 0x-professor/agent-skills-hub/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.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

See the full security report

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

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Source

Popularity

Repository stars
11
Repository forks
2
7-day trend score
12

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