code: def test_text_classification(self):
      subprocess.run(
          "cp ../examples/onnxruntime/training/text-classification/run_glue.py ./",
          shell=True,
      )
  
      subprocess.run(
          "torchrun"
          " --nproc_per_node=1"
          " run_glue.py"
          " --model_name_or_path distilbert-base-uncased"
          " --task_name mnli"
          " --max_seq_length 64"
          " --learning_rate 3e-6"
          " --do_train"
          " --output_dir /tmp/distilbert"
          " --overwrite_output_dir"
          " --max_steps 50"
          " --logging_steps 50"
          " --per_device_train_batch_size 8"
          " --fp16 --optim adamw_ort_fused"
          " --max_train_samples 20",
          shell=True,
          check=True,
      )
  
file_path: optimum/tests/onnxruntime/training/nightly_test_examples.py
imports: import subprocess
  import unittest
  import pytest
  from transformers.testing_utils import slow
label_desc: Use image node_id 1 for calling the ORTTrainerExampleTest obj's underlying member method code with example usage: obj.test_text_classification() without return types