OpenClaw
10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
☆ 0View 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.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install 0x-professor/dl-transformer-finetuneInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Skill instructions
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.
Source information
- Source
- github
- Repository
- openclaw/skills
- Path
- skills/0x-professor/dl-transformer-finetune
- Version
- —
- Commit
- 45e7379c5ada58d3430d4bf810b53b7060456e84
- Classification source
- rules
- Status
- active
- Visibility
- public
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
Extracted content
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.
Related skills
OpenClaw
10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
☆ 0View skill
OpenClaw
13-Day Sprint Method
Productivity system based on Maya calendar with 13 natural tones for project management and personal development
☆ 0View skill
OpenClaw
1password
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
☆ 0View skill