class_docstr: A `TrackerCallback` that saves the model's best during training and loads it at the end.
class_docstr_tok: ["A","`","TrackerCallback","`","that","saves","the","model","'s","best","during","training","and","loads","it","at","the","end","."]
docstr: Load the best model.
docstr_tok: ["Load","the","best","model","."]
code: def after_fit(self, **kwargs):
      "Load the best model."
      if self.at_end:
          self._save(f"{self.fname}")
      elif not self.every_epoch:
          self.learn.load(f"{self.fname}", with_opt=self.with_opt)
  
imports: from __future__ import annotations
  from ..basics import *
  from .progress import *
  from .fp16 import MixedPrecision
label_desc: Use image node_id 4 for calling the SaveModelCallback obj's underlying member method code with example usage: obj.after_fit() without return types