optimizer_schedules.rst

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    Copyright 2020 The HuggingFace Team. All rights reserved.

    Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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        http://www.apache.org/licenses/LICENSE-2.0

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Optimization
-----------------------------------------------------------------------------------------------------------------------

The ``.optimization`` module provides:

- an optimizer with weight decay fixed that can be used to fine-tuned models, and
- several schedules in the form of schedule objects that inherit from ``_LRSchedule``:
- a gradient accumulation class to accumulate the gradients of multiple batches

AdamW (PyTorch)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. autoclass:: transformers.AdamW
    :members:

AdaFactor (PyTorch)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. autoclass:: transformers.Adafactor

AdamWeightDecay (TensorFlow)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. autoclass:: transformers.AdamWeightDecay

.. autofunction:: transformers.create_optimizer

Schedules
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Learning Rate Schedules (Pytorch)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. autoclass:: transformers.SchedulerType

.. autofunction:: transformers.get_scheduler

.. autofunction:: transformers.get_constant_schedule


.. autofunction:: transformers.get_constant_schedule_with_warmup

.. image:: /imgs/warmup_constant_schedule.png
    :target: /imgs/warmup_constant_schedule.png
    :alt:


.. autofunction:: transformers.get_cosine_schedule_with_warmup

.. image:: /imgs/warmup_cosine_schedule.png
    :target: /imgs/warmup_cosine_schedule.png
    :alt:


.. autofunction:: transformers.get_cosine_with_hard_restarts_schedule_with_warmup

.. image:: /imgs/warmup_cosine_hard_restarts_schedule.png
    :target: /imgs/warmup_cosine_hard_restarts_schedule.png
    :alt:



.. autofunction:: transformers.get_linear_schedule_with_warmup

.. image:: /imgs/warmup_linear_schedule.png
    :target: /imgs/warmup_linear_schedule.png
    :alt:


.. autofunction:: transformers.get_polynomial_decay_schedule_with_warmup


Warmup (TensorFlow)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. autoclass:: transformers.WarmUp
    :members:

Gradient Strategies
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

GradientAccumulator (TensorFlow)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. autoclass:: transformers.GradientAccumulator