dpo-variants

Complete guide to Direct Preference Optimization loss variants in TRL.

Skills
AI research
3

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/dpo-variants && curl -fsSL https://doutorai.pt/data/lib/skills__dpo-variants.md -o .claude/skills/dpo-variants/SKILL.md

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

Content

# DPO Variants

Complete guide to Direct Preference Optimization loss variants in TRL.

## Overview

DPO optimizes models using preference data (chosen/rejected pairs). TRL supports 10+ loss variants for different scenarios.

## Loss Types

### 1. Sigmoid (Standard DPO)

**Formula**: `-log(sigmoid(β * logits))`

**When to use**: Default choice, general preference alignment

**Config**:
```python
DPOConfig(
    loss_type="sigmoid",
    beta=0.1,  # KL penalty
    per_device_train_batch_size=64,
    learning_rate=1e-6
)
```

### 2. IPO (Identity Policy Optimization)

**Formula**: `(logits - 1/(2

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