Optimization
.optimization 模块提供了：
- 一个带有固定权重衰减的优化器，可用于微调模型
- 继承自
_LRSchedule多个调度器： - 一个梯度累积类，用于累积多个批次的梯度
AdamW (PyTorch)
[[autodoc]] AdamW
AdaFactor (PyTorch)
[[autodoc]] Adafactor
AdamWeightDecay (TensorFlow)
[[autodoc]] AdamWeightDecay
[[autodoc]] create_optimizer
Schedules
Learning Rate Schedules (Pytorch)
[[autodoc]] SchedulerType
[[autodoc]] get_scheduler
[[autodoc]] get_constant_schedule
[[autodoc]] get_constant_schedule_with_warmup
[[autodoc]] get_cosine_schedule_with_warmup
[[autodoc]] get_cosine_with_hard_restarts_schedule_with_warmup
[[autodoc]] get_linear_schedule_with_warmup
[[autodoc]] get_polynomial_decay_schedule_with_warmup
[[autodoc]] get_inverse_sqrt_schedule
Warmup (TensorFlow)
[[autodoc]] WarmUp
Gradient Strategies
GradientAccumulator (TensorFlow)
[[autodoc]] GradientAccumulator