code: def test_run_mlm_adapter(self):
      stream_handler = logging.StreamHandler(sys.stdout)
      logger.addHandler(stream_handler)
  
      tmp_dir = self.get_auto_remove_tmp_dir()
      testargs = f"""
              run_mlm.py
              --model_name_or_path roberta-base
              --train_file ./tests/fixtures/sample_text.txt
              --validation_file ./tests/fixtures/sample_text.txt
              --output_dir {tmp_dir}
              --overwrite_output_dir
              --do_train
              --do_eval
              --prediction_loss_only
              --num_train_epochs=1
              --train_adapter
              --adapter_config=double_seq_bn[reduction_factor=8]
          """.split()
  
      if torch_device != "cuda":
          testargs.append("--no_cuda")
  
      with patch.object(sys, "argv", testargs):
          run_mlm.main()
          result = get_results(tmp_dir)
          self.assertLess(result["perplexity"], 42)
  
imports: import json
  import logging
  import os
  import sys
  from unittest.mock import patch
  import torch
  from transformers.testing_utils import TestCasePlus, get_gpu_count, slow, torch_device
label_desc: Use image node_id 6 for calling the AdapterExamplesTests obj's underlying member method code with example usage: obj.test_run_mlm_adapter() without return types