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pytorch-lightning - PyTorch Lightning Training Framework

High-level PyTorch framework with automatic distributed training and minimal boilerplate

Tags

Updated: 2026-05-28

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • train model
  • validate model
  • test model
  • run distributed training
  • log metrics
  • save checkpoint
  • configure optimizer
  • schedule learning rate
  • monitor learning rate
  • stop early
  • show progress
  • organize code
  • accumulate gradients
  • use mixed precision
  • load checkpoint

Inputs

  • PyTorch model
  • training dataset
  • validation dataset
  • test dataset
  • PyTorch DataLoader

Outputs

  • trained model
  • validation metrics
  • test metrics
  • checkpoint file
  • training logs

Requirements

  • PyTorch
  • Lightning library
  • GPU or CPU
  • Python environment

Source

  • Spec: SKILL.md
Training Framework
Distributed Training
PyTorch Lightning
Deep Learning
Machine Learning
train model
validate model
test model
run distributed training
PyTorch model
training dataset
validation dataset
trained model
validation metrics
test metrics