OneCycle Learning Rate Scheduling Callback

Changes the learning rate based on the 1cycle learning rate policy.

Wraps torch::lr_one_cycle(), where the default values for epochs and steps_per_epoch are the number of training epochs and the number of batches per epoch.

Super classes

CallbackSet -> CallbackSetLRScheduler -> CallbackSetLRSchedulerOneCycle

Methods

Public methods

• CallbackSetLRSchedulerOneCycle$new()

• CallbackSetLRSchedulerOneCycle$on_begin()

• CallbackSetLRSchedulerOneCycle$clone()

Inherited methods

• CallbackSet$load_state_dict()
• CallbackSet$print()
• CallbackSet$state_dict()

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CallbackSetLRSchedulerOneCycle$new()

Creates a new instance of this R6 class.

Usage

CallbackSetLRSchedulerOneCycle$new(...)

Arguments

...

(any)
The scheduler-specific initialization arguments.

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CallbackSetLRSchedulerOneCycle$on_begin()

Creates the scheduler using the optimizer from the context

Usage

CallbackSetLRSchedulerOneCycle$on_begin()

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CallbackSetLRSchedulerOneCycle$clone()

The objects of this class are cloneable with this method.

Usage

CallbackSetLRSchedulerOneCycle$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.