OpenClaw

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.

0x-professor0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install 0x-professor/dl-transformer-finetune

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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.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.

来源信息

Source: github
Repository: openclaw/skills
Path: skills/0x-professor/dl-transformer-finetune
Version: —
Commit: 45e7379c5ada58d3430d4bf810b53b7060456e84
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

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.

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