callbacks

Callbacks add functionality to training without modifying the LightningModule. They capture non-essential logic like checkpointing, early stopping, and logging.

Skills
AI research
3

What it does and how to use it

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Install (Claude Code)

mkdir -p .claude/skills/callbacks && curl -fsSL https://doutorai.pt/data/lib/skills__callbacks.md -o .claude/skills/callbacks/SKILL.md

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

Content

# PyTorch Lightning Callbacks

## Overview

Callbacks add functionality to training without modifying the LightningModule. They capture **non-essential logic** like checkpointing, early stopping, and logging.

## Built-In Callbacks

### 1. ModelCheckpoint

**Saves best models during training**:

```python
from lightning.pytorch.callbacks import ModelCheckpoint

# Save top 3 models based on validation loss
checkpoint = ModelCheckpoint(
    dirpath='checkpoints/',
    filename='model-{epoch:02d}-{val_loss:.2f}',
    monitor='val_loss',
    mode='min',
    save_top_k=3,
    save_last=True,  # Als

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