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Support freezing model anywhere in fine tuning #728
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Summary: Add support for freezing the model anywhere in the fine tuning task. Users can specify a specific module to freeze the model until in finetuning. Functionality is useful for situations, like the FixRes paper, where both the head and the last batch norm layer are trained during fine tuning. Example fblearner run using freeze_until to freeze the trunk model: f259575699 Example fblearner run using freeze_until to unfreeze the last batchnorm and head: f259575306 - Adds new config option `freeze_until` to specify what point to freeze the model to. Options are `head` or the name of a module in the model. The model will be frozen until but not including that module and unfrozen at that point onwards. `freeze_until: 'head'` has the same functionality as `freeze_trunk: true`. - Adds documentation for fine tuning task Differential Revision: D27199092 fbshipit-source-id: b12dc00563da45806317f60e2abbcc4237bec94c
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This pull request was exported from Phabricator. Differential Revision: D27199092 |
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Summary:
Add support for freezing the model anywhere in the fine tuning task. Users can specify a specific module to freeze the model until in finetuning. Functionality is useful for situations, like the FixRes paper, where both the head and the last batch norm layer are trained during fine tuning.
Example fblearner run using freeze_until to freeze the trunk model: f259575699
Example fblearner run using freeze_until to unfreeze the last batchnorm and head:
f259575306
freeze_untilto specify what point to freeze the model to. Options areheador the name of a module in the model. The model will be frozen until but not including that module and unfrozen at that point onwards.freeze_until: 'head'has the same functionality asfreeze_trunk: true.Differential Revision: D27199092