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Differential Revision: D21949491 fbshipit-source-id: 9ece9ce66a1299cfc583a226ea1d42ad6bc77a2d
Differential Revision: D22372256 fbshipit-source-id: 47d3bee6252d929593948f52484f0701e3d32194
Summary: For model fine-tuning, we want to use small LR for pre-trained trunk, and scale up LR for head modules which are randomly initialized. To do this, users of optimizer can specify a new argument `lr_scale` which is used to scale up basic LR. Differential Revision: D22618966 fbshipit-source-id: 34c1a1730e3688eabcadc1158a81404de2f1b2f8
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Summary:
For model fine-tuning, we want to use small LR for pre-trained trunk, and scale up LR for head modules which are randomly initialized.
To do this, users of optimizer can specify a new argument
lr_scalewhich is used to scale up basic LR.Differential Revision: D22618966