class_docstr: Arguments pertaining to which model/config/tokenizer we are going to fine-tune from.
class_docstr_tok: ["Arguments","pertaining","to","which","model\/config\/tokenizer","we","are","going","to","fine-tune","from","."]
code: def __post_init__(self):
      if (
          not self.freeze_feature_extractor
          and self.freeze_feature_encoder
      ):
          warnings.warn(
              "The argument `--freeze_feature_extractor` is deprecated and "
              "will be removed in a future version. Use `--freeze_feature_encoder`"
              "instead. Setting `freeze_feature_encoder==True`.",
              FutureWarning,
          )
      if (
          self.freeze_feature_extractor
          and not self.freeze_feature_encoder
      ):
          raise ValueError(
              "The argument `--freeze_feature_extractor` is deprecated and "
              "should not be used in combination with `--freeze_feature_encoder`."
              "Only make use of `--freeze_feature_encoder`."
          )
  
imports: import logging
  import os
  import sys
  import warnings
  from dataclasses import dataclass, field
  from random import randint
  from typing import Optional
  import datasets
  import numpy
  from datasets import DatasetDict, load_dataset
  import evaluate
  import transformers
  from transformers import AutoConfig, AutoFeatureExtractor, AutoModelForAudioClassification, HfArgumentParser, Trainer, TrainingArguments, set_seed
  from transformers.trainer_utils import get_last_checkpoint
  from transformers.utils import check_min_version, send_example_telemetry
  from transformers.utils.versions import require_version
label_desc: Use image node_id 1 for calling the ModelArguments obj's underlying member method code with example usage: obj.__post_init__() without return types