code: def test_translation(self):
      subprocess.run(
          "cp ../examples/onnxruntime/training/translation/run_translation.py ./",
          shell=True,
      )
  
      subprocess.run(
          "torchrun"
          " --nproc_per_node=1"
          " run_translation.py"
          " --model_name_or_path t5-small"
          " --dataset_name wmt16"
          " --dataset_config ro-en"
          " --label_smoothing 0.1"
          " --predict_with_generate"
          " --source_lang en"
          " --target_lang ro"
          " --do_train"
          " --max_train_samples 30"
          " --output_dir /tmp/t5"
          " --overwrite_output_dir"
          " --max_steps 50"
          " --logging_steps 50"
          " --per_device_train_batch_size 2"
          " --fp16 --optim adamw_ort_fused",
          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 3 for calling the ORTTrainerExampleTest obj's underlying member method code with example usage: obj.test_translation() without return types