SkillHub

dl-transformer-finetune

v0.1.0

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

Sourced from ClawHub, Authored by Muhammad Mazhar Saeed

Installation

Please help me install the skill `dl-transformer-finetune` from SkillHub official store. npx skills add 0x-Professor/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.