Adds support for knowledge distillation #380
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There are many different forms of model training which exist. One popular form of training is knowledge distillation, where a student model learns the output distributions from a teacher model. This commit introduces support for knowledge distillation in the training library. This commit also exposes the `weight_decay` hyperparameter which is often used to help deep learning models generalize. Lastly, this commit changes the useage from `torch.distributed` to just `dist`, as it is a common module used throughout the codebase. Signed-off-by: Oleg S <[email protected]>
Signed-off-by: Oleg S <[email protected]>
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There are many different forms of model training which exist. One popular form of training is knowledge distillation, where a student model learns the output distributions from a teacher model. This commit introduces support for knowledge distillation in the training library.
This commit also exposes the
weight_decayhyperparameter which is often used to help deep learning models generalize.Lastly, this commit changes the useage from
torch.distributedto justdist, as it is a common module used throughout the codebase.Signed-off-by: Oleg S [email protected]