tfm.optimization.PowerAndLinearDecay
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Learning rate schedule with multiplied by linear decay at the end.
View aliases
Main aliases
tfm.optimization.lr_schedule.PowerAndLinearDecay
tfm.optimization.PowerAndLinearDecay(
initial_learning_rate: float,
total_decay_steps: int,
power: float = 1.0,
linear_decay_fraction: float = 0.1,
offset: int = 0,
name: str = 'PowerAndLinearDecay'
)
The schedule has the following behavoir.
Let offset_step = step - offset.
1) offset_step < 0, the actual learning rate equals initial_learning_rate.
2) offset_step <= total_decay_steps * (1 - linear_decay_fraction), the
actual learning rate equals lr * offset_step^power.
3) total_decay_steps * (1 - linear_decay_fraction) <= offset_step <
total_decay_steps, the actual learning rate equals lr * offset_step^power *
(total_decay_steps - offset_step) / (total_decay_steps *
linear_decay_fraction).
4) offset_step >= total_decay_steps, the actual learning rate equals zero.
Args |
initial_learning_rate
|
The initial learning rate.
|
total_decay_steps
|
The total number of steps for power + linear decay.
|
power
|
The order of the polynomial.
|
linear_decay_fraction
|
In the last linear_decay_fraction steps, the
learning rate will be multiplied by a linear decay.
|
offset
|
The offset applied to steps.
|
name
|
Optional, name of learning rate schedule.
|
Methods
from_config
@classmethod
from_config(
config
)
Instantiates a LearningRateSchedule
from its config.
Args |
config
|
Output of get_config() .
|
Returns |
A LearningRateSchedule instance.
|
get_config
View source
get_config()
Get the configuration of the learning rate schedule.
__call__
View source
__call__(
step
)
Call self as a function.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-02-02 UTC.
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