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transformers/docs/source/en/main_classes/optimizer_schedules.md
Matt 9be4728af8
Just import torch AdamW instead (#36177) 
* Just import torch AdamW instead

* Update docs too

* Make AdamW undocumented

* make fixup

* Add a basic wrapper class

* Add it back to the docs

* Just remove AdamW entirely

* Remove some AdamW references

* Drop AdamW from the public init

* make fix-copies

* Cleanup some references

* make fixup

* Delete lots of transformers.AdamW references

* Remove extra references to adamw_hf
2025-03-19 18:29:40 +00:00

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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

AdaFactor (PyTorch)

autodoc Adafactor

AdamWeightDecay (TensorFlow)

autodoc AdamWeightDecay

autodoc create_optimizer

Schedules

Learning Rate Schedules (PyTorch)

autodoc SchedulerType

autodoc get_scheduler

autodoc get_constant_schedule

autodoc get_constant_schedule_with_warmup

autodoc get_cosine_schedule_with_warmup

autodoc get_cosine_with_hard_restarts_schedule_with_warmup

autodoc get_linear_schedule_with_warmup

autodoc get_polynomial_decay_schedule_with_warmup

autodoc get_inverse_sqrt_schedule

autodoc get_wsd_schedule

Warmup (TensorFlow)

autodoc WarmUp

Gradient Strategies

GradientAccumulator (TensorFlow)

autodoc GradientAccumulator