fine_tuning

Complete guide to fine-tuning transformer models for longer context windows.

Skills
AI research
0

What it does and how to use it

A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
In Claude Code, describe what you need - the skill turns on by itself when the context fits.
No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/fine-tuning && curl -fsSL https://doutorai.pt/data/lib/skills__fine-tuning.md -o .claude/skills/fine-tuning/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Fine-tuning for Context Extension

Complete guide to fine-tuning transformer models for longer context windows.

## Table of Contents
- Data Preparation
- Training Configuration
- YaRN Fine-tuning
- Position Interpolation Fine-tuning
- Evaluation
- Production Deployment

## Data Preparation

### Long Document Datasets

**Best datasets for context extension**:

```python
# 1. PG-19 (Books)
from datasets import load_dataset

pg19 = load_dataset("pg19", split="train")
# Average length: 50k-150k tokens
# Quality: High (literary works)

# 2. arXiv Papers
arxiv = load_dataset("scientific_papers", 

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