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Published 20 hours ago • verified publisher icon pytorch

Added Optimizer configuration that supports optimizer type, learning rate, momentum, and weight decay configurations.

Open SSYernar opened this issue 5 months ago • 2 comments

Summary: This commit introduces enhancements to the optimizer configuration in TorchRec. It now supports specifying the optimizer type, learning rate, momentum, and weight decay. These changes provide more flexibility and control over the training process, allowing users to fine-tune their models with different optimization strategies and hyperparameters.

Differential Revision: D76837924

SSYernar avatar Jun 17 '25 19:06 SSYernar

This pull request was exported from Phabricator. Differential Revision: D76837924

facebook-github-bot avatar Jun 17 '25 19:06 facebook-github-bot

This pull request was exported from Phabricator. Differential Revision: D76837924

facebook-github-bot avatar Jun 18 '25 02:06 facebook-github-bot

This pull request was exported from Phabricator. Differential Revision: D76837924

facebook-github-bot avatar Jun 24 '25 05:06 facebook-github-bot