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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

[[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