docstr: Update the `spaCy` training config.
  
  Disclaimer: currently just the `training` config is supported, but in the future
  we will support all the `spaCy` config values for more precise control
  over the training process. Also, note that the arguments may differ between the CPU
  and GPU training.
  
  Args:
      **spacy_training_config: The `spaCy` training config.
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code: def update_config(
      self,
      **spacy_training_config,
  ) -> None:
      """Update the `spaCy` training config.
  
      Disclaimer: currently just the `training` config is supported, but in the future
      we will support all the `spaCy` config values for more precise control
      over the training process. Also, note that the arguments may differ between the CPU
      and GPU training.
  
      Args:
          **spacy_training_config: The `spaCy` training config.
      """
      self.trainer_kwargs["training"].update(spacy_training_config)
  
imports: import logging
  import sys
  from pathlib import Path
  from typing import Any, Dict, List, Literal, Optional, Union
  from pydantic import BaseModel
  from argilla.client.models import TextClassificationRecord, TokenClassificationRecord
  from argilla.training.base import ArgillaTrainerSkeleton
  from argilla.utils.dependency import require_dependencies
label_desc: Use image node_id 4 for calling the _ArgillaSpaCyTrainerBase obj's underlying member method code with example usage: obj.update_config() without return types