docstr: We create a SetFitModel object from a pretrained model, then create a SetFitTrainer object with
  the model, and then train the model
docstr_tok: ["We","create","a","SetFitModel","object","from","a","pretrained","model",",","then","create","a","SetFitTrainer","object","with","the","model",",","and","then","train","the","model"]
code: def train(self, output_dir: str = None):
      """
      We create a SetFitModel object from a pretrained model, then create a SetFitTrainer object with
      the model, and then train the model
      """
      from setfit import SetFitModel, SetFitTrainer
  
      self.trainer_model = SetFitModel.from_pretrained(
          **self.model_kwargs
      )
      self.trainer_kwargs["model"] = self.trainer_model
      self._trainer = SetFitTrainer(**self.trainer_kwargs)
      self._trainer.train()
      if self._eval_dataset:
          self._metrics = self._trainer.evaluate()
          self._logger.info(self._metrics)
      else:
          self._metrics = None
  
      if output_dir is not None:
          self.save(output_dir)
  
file_path: argilla/src/argilla/training/setfit.py
imports: import json
  import logging
  from typing import List, Union
  from argilla.client.models import TextClassificationRecord
  from argilla.training.transformers import ArgillaTransformersTrainer
  from argilla.training.utils import get_default_args
  from argilla.utils.dependency import require_dependencies
label_desc: Use image node_id 5 for calling the ArgillaSetFitTrainer obj's underlying member method code with example usage: obj.train(output_dir) without return types