sft-training

Complete guide to Supervised Fine-Tuning (SFT) with TRL for instruction tuning and task-specific fine-tuning.

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/sft-training && curl -fsSL https://doutorai.pt/data/lib/skills__sft-training.md -o .claude/skills/sft-training/SKILL.md

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

Content

# SFT Training Guide

Complete guide to Supervised Fine-Tuning (SFT) with TRL for instruction tuning and task-specific fine-tuning.

## Overview

SFT trains models on input-output pairs to minimize cross-entropy loss. Use for:
- Instruction following
- Task-specific fine-tuning
- Chatbot training
- Domain adaptation

## Dataset Formats

### Format 1: Prompt-Completion

```json
[
  {
    "prompt": "What is the capital of France?",
    "completion": "The capital of France is Paris."
  }
]
```

### Format 2: Conversational (ChatML)

```json
[
  {
    "messages": [
      {"role": "user", "content"

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