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78 lines
1.8 KiB
ReStructuredText
78 lines
1.8 KiB
ReStructuredText
Optimization
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----------------------------------------------------
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The ``.optimization`` module provides:
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- an optimizer with weight decay fixed that can be used to fine-tuned models, and
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- several schedules in the form of schedule objects that inherit from ``_LRSchedule``:
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- a gradient accumulation class to accumulate the gradients of multiple batches
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``AdamW`` (PyTorch)
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~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.AdamW
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:members:
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``AdaFactor`` (PyTorch)
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.Adafactor
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``AdamWeightDecay`` (TensorFlow)
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.AdamWeightDecay
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.. autofunction:: transformers.create_optimizer
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Schedules
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~~~~~~~~~~~~~~~~~~~
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Learning Rate Schedules (Pytorch)
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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.. autofunction:: transformers.get_constant_schedule
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.. autofunction:: transformers.get_constant_schedule_with_warmup
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.. image:: /imgs/warmup_constant_schedule.png
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:target: /imgs/warmup_constant_schedule.png
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:alt:
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.. autofunction:: transformers.get_cosine_schedule_with_warmup
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.. image:: /imgs/warmup_cosine_schedule.png
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:target: /imgs/warmup_cosine_schedule.png
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:alt:
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.. autofunction:: transformers.get_cosine_with_hard_restarts_schedule_with_warmup
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.. image:: /imgs/warmup_cosine_hard_restarts_schedule.png
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:target: /imgs/warmup_cosine_hard_restarts_schedule.png
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:alt:
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.. autofunction:: transformers.get_linear_schedule_with_warmup
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.. image:: /imgs/warmup_linear_schedule.png
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:target: /imgs/warmup_linear_schedule.png
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:alt:
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``Warmup`` (TensorFlow)
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^^^^^^^^^^^^^^^^^^^^^^^
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.. autoclass:: transformers.WarmUp
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:members:
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Gradient Strategies
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~~~~~~~~~~~~~~~~~~~~
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``GradientAccumulator`` (TensorFlow)
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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.. autoclass:: transformers.GradientAccumulator
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