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 evaluate
  import numpy
  from datasets import DatasetDict, load_dataset
  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