https://github.com/saran-nns/effective_lr

This repository contains methods to return the effective learning rate of adaptive optimizers like Adam, AdamW, RMSProp built in pytorch.
https://github.com/saran-nns/effective_lr

Last synced: about 2 months ago
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This repository contains methods to return the effective learning rate of adaptive optimizers like Adam, AdamW, RMSProp built in pytorch.

• Host: GitHub
• URL: https://github.com/saran-nns/effective_lr
• Owner: Saran-nns
• License: mit
• Created: 2021-05-04T09:03:29.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2024-03-25T21:59:32.000Z (about 1 year ago)
• Last Synced: 2025-02-09T15:38:49.126Z (4 months ago)
• Language: Python
• Size: 8.79 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# effective_lr

Monitor the effective learning rate of adaptive optimizers on the move.