towhee.trainer.optimization.optimization.get_linear_schedule_with_warmup

towhee.trainer.optimization.optimization.get_linear_schedule_with_warmup(optimizer, num_warmup_steps, num_training_steps, last_epoch=-1)

Create a schedule with a learning rate that decreases linearly from the initial lr set in the optimizer to 0, after a warmup period during which it increases linearly from 0 to 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.

• num_training_steps (int) – The total number of training steps.

• last_epoch (int, optional, defaults to -1) – The index of the last epoch when resuming training.

Returns:

torch.optim.lr_scheduler.LambdaLR with the appropriate schedule.