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2.7 KiB

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

autodoc Adafactor

Schedules

SchedulerType

autodoc SchedulerType

get_scheduler

autodoc get_scheduler

get_constant_schedule

autodoc get_constant_schedule

get_constant_schedule_with_warmup

autodoc get_constant_schedule_with_warmup

get_cosine_schedule_with_warmup

autodoc get_cosine_schedule_with_warmup

get_cosine_with_hard_restarts_schedule_with_warmup

autodoc get_cosine_with_hard_restarts_schedule_with_warmup

get_cosine_with_min_lr_schedule_with_warmup

autodoc get_cosine_with_min_lr_schedule_with_warmup

get_cosine_with_min_lr_schedule_with_warmup_lr_rate

autodoc get_cosine_with_min_lr_schedule_with_warmup_lr_rate

GreedyLR

autodoc GreedyLR

get_greedy_schedule

autodoc get_greedy_schedule

get_linear_schedule_with_warmup

autodoc get_linear_schedule_with_warmup

get_polynomial_decay_schedule_with_warmup

autodoc get_polynomial_decay_schedule_with_warmup

get_inverse_sqrt_schedule

autodoc get_inverse_sqrt_schedule

get_reduce_on_plateau_schedule

autodoc get_reduce_on_plateau_schedule

get_wsd_schedule

autodoc get_wsd_schedule