code: def get_base_args(self, output_dir, num_epochs, logging_steps):
      return f"""
              --model_name_or_path bert-base-cased
              --task_name mrpc
              --output_dir {output_dir}
              --overwrite_output_dir
              --do_train
              --max_seq_length 128
              --per_device_train_batch_size 16
              --learning_rate 5e-5
              --num_train_epochs {num_epochs}
              --lr_scheduler_type cosine
              --logging_steps {logging_steps}
              --save_strategy epoch
              --do_eval
              --evaluation_strategy epoch
              --report_to none
          """
  
imports: import itertools
  import os
  import unittest
  from functools import partial
  from parameterized import parameterized
  import tests.trainer.test_trainer
  from tests.trainer.test_trainer import TrainerIntegrationCommon
  from transformers import is_torch_available
  from transformers.testing_utils import TestCasePlus, backend_device_count, execute_subprocess_async, mockenv_context, require_accelerate, require_fsdp, require_torch_accelerator, require_torch_multi_accelerator, slow, torch_device
  from transformers.trainer_callback import TrainerState
  from transformers.trainer_utils import FSDPOption, set_seed
  from transformers.utils import is_accelerate_available, is_torch_bf16_available_on_device
label_desc: Use image node_id 8 for calling the TrainerIntegrationFSDP obj's underlying member method code with example usage: obj.get_base_args(output_dir, num_epochs, logging_steps) and returns: str, output_dir, str, num_epochs, str, logging_steps, str