# 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