              "loss": re.compile(r"[\W]+(\d+)?[\W]+([a-zA-Z\s]*)[\W]+?(\d+\.\d+)"),
              "tqdm": re.compile(r"(?P<dsc>.*?)(?P<pct>\d+%).*?(?P<itm>\S+/\S+)\W\["
                                 r"(?P<tme>[\d+:]+<.*),\W(?P<rte>.*)[a-zA-Z/]*\]"),
              "ffmpeg": re.compile(r"([a-zA-Z]+)=\s*(-?[\d|N/A]\S+)")}
          logger.debug("Initialized %s", self.__class__.__name__)
  
      @property
      def command(self) -> str | None:
 
</s> remove logger = logging.getLogger(__name__)  # pylint: disable=invalid-name
 </s> add logger = logging.getLogger(__name__) </s> remove     def _filename(self) -> str:
 </s> add     def model_dir(self) -> str:
        """ str: The full path to the model folder """
        return self._model_dir

    @property
    def filename(self) -> str:
        self._first_loss_seen = False
              "loss": re.compile(r"[\W]+(\d+)?[\W]+([a-zA-Z\s]*)[\W]+?(\d+\.\d+)"),
              "tqdm": re.compile(r"(?P<dsc>.*?)(?P<pct>\d+%).*?(?P<itm>\S+/\S+)\W\["
                                 r"(?P<tme>[\d+:]+<.*),\W(?P<rte>.*)[a-zA-Z/]*\]"),
              "ffmpeg": re.compile(r"([a-zA-Z]+)=\s*(-?[\d|N/A]\S+)")}
        self._first_loss_seen = False
          logger.debug("Initialized %s", self.__class__.__name__)
  
      @property
      def command(self) -> str | None:
keep keep keep add keep keep keep keep
 Learning Rate finder (#1341)

* Add LR Finder support structure

* Move trainer.Feeder to lib.training.generator

* Expose model.io

* Add lr_finder

* Update docs and locales

* Pre-PR fixups
  - Fix training graph not displaying
  - CI fixes
  - Switch lr finder progress to tqdm
  - Exit lr finder early on NaN
  - Display lr finder progress in GUI 
lib/gui/wrapper.py