code: def init_training_args(self):
      require_dependencies("peft")
      super().init_training_args()
  
      self.lora_kwargs = {
          "r": 8,
          "target_modules": None,
          "lora_alpha": 16,
          "lora_dropout": 0.1,
          "fan_in_fan_out": False,
          "bias": "none",
          "inference_mode": False,
          "modules_to_save": None,
          "init_lora_weights": True,
      }
  
file_path: argilla/src/argilla/training/peft.py
imports: import logging
  from typing import List, Union
  import numpy
  from argilla.client.models import TextClassificationRecord, TokenClassificationRecord
  from argilla.training.transformers import ArgillaTransformersTrainer
  from argilla.training.utils import filter_allowed_args
  from argilla.utils.dependency import require_dependencies
label_desc: Use image node_id 1 for calling the ArgillaPeftTrainer obj's underlying member method code with example usage: obj.init_training_args() without return types