transformers/docs/source/en/main_classes/optimizer_schedules.md

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)

autodoc AdamW

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

Warmup (TensorFlow)

autodoc WarmUp

Gradient Strategies

GradientAccumulator (TensorFlow)

autodoc GradientAccumulator