class_docstr: Arguments pertaining to what data we are going to input our model for training and eval.
  
  Using `HfArgumentParser` we can turn this class into argparse arguments to be able to specify them on the command
  line.
code: def __post_init__(self):
      self.task_name = self.task_name.lower()
  
imports: import os
  import time
  import warnings
  from dataclasses import dataclass, field
  from enum import Enum
  from typing import List, Optional, Union
  import torch
  from torch.utils.data import Dataset
  from filelock import FileLock
  from ...tokenization_utils_base import PreTrainedTokenizerBase
  from ...utils import logging
  from ..processors.glue import glue_convert_examples_to_features, glue_output_modes, glue_processors
  from ..processors.utils import InputFeatures
label_desc: Use image node_id 1 for calling the GlueDataTrainingArguments obj's underlying member method code with example usage: obj.__post_init__() without return types