class_docstr: Training with exponentially growing learning rate
class_docstr_tok: ["Training","with","exponentially","growing","learning","rate"]
code: def before_fit(self):
      super().before_fit()
      path = self.path / self.model_dir
      path.mkdir(parents=True, exist_ok=True)
      self.tmp_d = tempfile.TemporaryDirectory(dir=path)
      self.tmp_p = Path(self.tmp_d.name).stem
      self.learn.save(f"{self.tmp_p}/_tmp")
      self.best_loss = float("inf")
  
imports: from __future__ import annotations
  from ..basics import *
  from .tracker import SaveModelCallback
label_desc: Use image node_id 2 for calling the LRFinder obj's underlying member method code with example usage: obj.before_fit() without return types