code: def on_epoch_end(self, epoch, logs=None):
      self.model.save_pretrained(self.output_dir)
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/examples/tensorflow/text-classification/run_text_classification.py
imports: import json
  import logging
  import os
  import sys
  from dataclasses import dataclass, field
  from pathlib import Path
  from typing import Optional
  import numpy
  from datasets import load_dataset
  from transformers import AutoConfig, AutoTokenizer, HfArgumentParser, PretrainedConfig, PushToHubCallback, TFAutoModelForSequenceClassification, TFTrainingArguments, create_optimizer, set_seed
  from transformers.utils import CONFIG_NAME, TF2_WEIGHTS_NAME, send_example_telemetry
  import tensorflow
label_desc: Use image node_id 2 for calling the SavePretrainedCallback obj's underlying member method code with example usage: obj.on_epoch_end(epoch, logs) without return types