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Optimizer
----------------------------------------------------
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``
~~~~~~~~~~~~~~~~
.. autoclass:: transformers.AdamW
:members:
``AdamWeightDecay``
~~~~~~~~~~~~~~~~~~~
.. autoclass:: transformers.AdamWeightDecay
:members:
.. autofunction:: transformers.create_optimizer
Schedules
----------------------------------------------------
Learning Rate Schedules
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. 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:
``Warmup``
~~~~~~~~~~~~~~~~
.. autoclass:: transformers.WarmUp
:members:
Gradient Strategies
----------------------------------------------------
``GradientAccumulator``
~~~~~~~~~~~~~~~~~~~~~~~
.. autoclass:: transformers.GradientAccumulator