def METHOD_NAME(self):
    nncf_config = TRAINING_SCRIPTS_PATH / MRPC_CONFIG_FILE_NAME
    model_dir = Path(self.temp_folder["models"], nncf_config.stem)
    output_dir = Path(self.temp_folder["models"], nncf_config.stem + "_eval")
    com_line = (
        "examples/pytorch/text-classification/run_glue.py --model_name_or_path {model_dir}"
        " --task_name mrpc --do_eval "
        " --learning_rate 2e-5"
        " --max_seq_length 128 --output_dir {output_dir}"
        " --max_eval_samples 10"
        " --nncf_config {nncf_config}".format(model_dir=model_dir, output_dir=output_dir, nncf_config=nncf_config)
    )
    runner = Command(
        create_command_line(
            com_line, self.env.VENV_ACTIVATE, self.env.PYTHON_EXECUTABLE, self.env.CUDA_VISIBLE_STRING
        ),
        self.env.TRANSFORMERS_REPO_PATH,
    )
    runner.run()