class_docstr: Decay the LR by a factor every time the validation loss plateaus.
class_docstr_tok: ["Decay","the","LR","by","a","factor","every","time","the","validation","loss","plateaus","."]
code: def state_dict(self):
      return {
          "best": self.lr_scheduler.best,
          "last_epoch": self.lr_scheduler.last_epoch,
      }
  
file_path: pytorch-image-models/timm/scheduler/plateau_lr.py
imports: import torch
  from .scheduler import Scheduler
label_desc: Use image node_id 2 for calling the PlateauLRScheduler obj's underlying member method code with example usage: obj.state_dict() and returns: dict