lmflow.optim.lamb

Classes

Lamb	Implements Lamb algorithm.

Module Contents

class lmflow.optim.lamb.Lamb(params, lr: float = 0.001, betas=(0.9, 0.999), eps: float = 1e-06, weight_decay: float = 0, clamp_value: float = 10, adam: bool = False, debias: bool = False)

Bases: torch.optim.optimizer.Optimizer

Implements Lamb algorithm.

It has been proposed in Large Batch Optimization for Deep Learning: Training BERT in 76 minutes https://arxiv.org/abs/1904.00962

Note:

Reference code: cybertronai/pytorch-lamb

clamp_value = 10

adam = False

debias = False

step(closure=None)

Performs a single optimization step.

Arguments:

closure: A closure that reevaluates the model and returns the loss.