code: def test_update_config(dataset_token_classification) -> None:
      trainer = ArgillaTrainer(
          name=dataset_token_classification,
          model=MODEL,
          framework=FRAMEWORK,
      )
      trainer.update_config(num_train_epochs=4)
      assert trainer._trainer.trainer_kwargs["num_train_epochs"] == 4
      trainer.update_config(num_train_epochs=1)
      assert trainer._trainer.trainer_kwargs["num_train_epochs"] == 1
      trainer.update_config(max_steps=1)
      assert trainer._trainer.trainer_kwargs["max_steps"] == 1
  
file_path: argilla/tests/integration/training/test_span_marker.py
imports: from argilla.client.models import TokenClassificationRecord
  from argilla.training import ArgillaTrainer
  from .helpers import train_with_cleanup
label_desc: Use image node_id 1 for calling a global function with example usage: test_update_config(dataset_token_classification) without return types