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Improve LR scheduler documentation in transfer learning tutorial#3681

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Description

This PR improves the documentation and comments related to the learning rate
scheduler (StepLR) in the transfer_learning_tutorial.py script.

Changes made:

  • Added clarification about the recommended order:optimizer.step() followed byscheduler.step().
  • Explained why StepLR is stepped once per epoch in this tutorial.
  • Improved clarity of the backward/optimizer comment inside the training loop.
  • Updated comments to align with current PyTorch best practices.

No functional changes were made. This is a documentation only improvement.

Checklist

  • The issue being addressed is documentation clarity (no existing issue number)
  • Only one change area is addressed in this PR
  • No unnecessary changes are included
  • PR follows PyTorch Tutorials contribution guidelines

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pytorch-botbot commentedDec 2, 2025•
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🔗 Helpful Links

🧪 See artifacts and rendered test results athud.pytorch.org/pr/pytorch/tutorials/3681

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meta-clabot commentedDec 2, 2025

Hi@sammy-1904!

Thank you for your pull request and welcome to our community.

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@sammy-1904@AlannaBurke
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