docstr: `trainer.__repr__()` prints out the trainer's parameters and a summary of how to use the trainer
  
  Returns:
    The trainer object.
docstr_tok: ["`","trainer.__repr__","(",")","`","prints","out","the","trainer","'s","parameters","and","a","summary","of","how","to","use","the","trainer","Returns",":","The","trainer","object","."]
code: def __repr__(self) -> str:
      """
      `trainer.__repr__()` prints out the trainer's parameters and a summary of how to use the trainer
  
      Returns:
        The trainer object.
      """
      return f"""\
  ArgillaBaseTrainer info:
  _________________________________________________________________
  These baseline params are fixed:
      dataset: {self._name}
      task: {self._rg_dataset_type.__name__}
      multi_label: {self._multi_label}
      train_size: {self._train_size}
      seed: {self._seed}
  
  {self._trainer.__class__} info:
  _________________________________________________________________
  The parameters are configurable via `trainer.update_config()`:
      {self._trainer}
  
  Using the trainer:
  _________________________________________________________________
  `trainer.train(output_dir)` to train to start training. `output_dir` is the directory to save the model automatically.
  `trainer.predict(text, as_argilla_records=True)` to make predictions.
  `trainer.save(output_dir)` to save the model manually."""
  
imports: import logging
  import os
  import warnings
  from abc import ABC, abstractmethod
  from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
  from argilla.client.datasets import DatasetForText2Text, DatasetForTextClassification, DatasetForTokenClassification
  from argilla.client.models import Framework, Text2TextRecord, TextClassificationRecord, TokenClassificationRecord
  from argilla.client.singleton import active_client
  from argilla.datasets import TextClassificationSettings, TokenClassificationSettings, load_dataset_settings
  from argilla.utils.telemetry import get_telemetry_client
label_desc: Use image node_id 3 for calling the ArgillaTrainer obj's underlying member method code with example usage: obj.__repr__() and returns: str, self, str, self, str, self, str, self, str, self, str, self, str, self, str