code: def test_run_audio_classification(self):
      tmp_dir = self.get_auto_remove_tmp_dir()
      testargs = f"""
              run_audio_classification.py
              --output_dir {tmp_dir}
              --model_name_or_path hf-internal-testing/tiny-random-wav2vec2
              --dataset_name anton-l/superb_demo
              --dataset_config_name ks
              --train_split_name test
              --eval_split_name test
              --audio_column_name audio
              --label_column_name label
              --do_train
              --do_eval
              --learning_rate 1e-4
              --per_device_train_batch_size 2
              --per_device_eval_batch_size 1
              --remove_unused_columns False
              --overwrite_output_dir True
              --num_train_epochs 10
              --max_steps 50
              --seed 42
          """.split()
  
      if is_cuda_and_apex_available():
          testargs.append("--fp16")
  
      with patch.object(sys, "argv", testargs):
          run_audio_classification.main()
          result = get_results(tmp_dir)
          self.assertLess(result["eval_loss"], result["train_loss"])
  
imports: import argparse
  import json
  import logging
  import os
  import sys
  from unittest.mock import patch
  import torch
  from transformers import ViTMAEForPreTraining, Wav2Vec2ForPreTraining
  from transformers.testing_utils import CaptureLogger, TestCasePlus, get_gpu_count, slow, torch_device
  from transformers.utils import is_apex_available
label_desc: Use image node_id 15 for calling the ExamplesTests obj's underlying member method code with example usage: obj.test_run_audio_classification() without return types