# Fine Tuning Models

> Fine-tune pre-trained models for specific tasks

- Skill: `lgrappag/fine-tuning-models` (Agent Skill)
- Install (CLI): `npx skillmds@latest add lgrappag/fine-tuning-models`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lgrappag/fine-tuning-models/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: LgrappaG (https://skillmd.com/u/lgrappag)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/lgrappag/fine-tuning-models

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# Fine Tuning Models

Fine-tune pre-trained models for specific tasks

## Risk Level
**MEDIUM**

## Core Rules
- Use proper learning rates
- validate accuracy
- test generalization

## Response Pattern

### When Using This Skill
1. Fine-tune layers
2. validate performance
3. test generalization
4. Ensure performance meets requirements

## Usage Contexts
- Model adaptation
- task-specific training

## What NOT to Do
- Catastrophic forgetting
- overfitting
- poor fine-tuning

## Key Requirements
- Understand the use cases before application
- Follow the documented response pattern
- Validate results in the target environment
- Monitor for performance impact

## Further Learning
Review related skills and documentation for deeper understanding of related systems and best practices.