towhee.trainer.optimization.optimization.get_constant_schedule_with_warmup¶
- towhee.trainer.optimization.optimization.get_constant_schedule_with_warmup(optimizer: Optimizer, num_warmup_steps: int, last_epoch: int = -1)[source]¶
Create a schedule with a constant learning rate preceded by a warmup period during which the learning rate increases linearly between 0 and the initial lr set in the optimizer.
- Parameters:
optimizer (
Optimizer) – The optimizer for which to schedule the learning rate.num_warmup_steps (
int) – The number of steps for the warmup phase.last_epoch (
int, optional, defaults to -1) – The index of the last epoch when resuming training.
- Returns:
torch.optim.lr_scheduler.LambdaLRwith the appropriate schedule.
