code: def _write_metrics(self, iteration:int, last_metrics:MetricsList, start_idx:int=2)->None:
          "Writes training metrics to Tensorboard."
          recorder = self.learn.recorder
          for i, name in enumerate(recorder.names[start_idx:]):
              if last_metrics is None or len(last_metrics) < i+1: return
              scalar_value = last_metrics[i]
              self._write_scalar(name=name, scalar_value=scalar_value, iteration=iterationf _write_metrics(self, iteration:int, last_metrics:MetricsList, start_idx:int=2)->None:
          "Writes training metrics to Tensorboard."
          recorder = self.learn.recorder
          for i, name in enumerate(recorder.names[start_idx:]):
              if last_metrics is None or len(last_metrics) < i+1: return
              scalar_value = last_metrics[i]
              self._write_scalar(name=name, scalar_value=scalar_value, iteration=iteration)
docs: Writes training metrics to Tensorboard.