code: def __init__(
      self,
      *args,
      eval_examples=None,
      post_process_function=None,
      **kwargs,
  ):
      super().__init__(*args, **kwargs)
      self.eval_examples = eval_examples
      self.post_process_function = post_process_function
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/examples/pytorch/question-answering/trainer_seq2seq_qa.py
imports: import math
  import time
  from typing import Dict, List, Optional
  from torch.utils.data import Dataset
  from transformers import Seq2SeqTrainer, is_torch_tpu_available
  from transformers.trainer_utils import PredictionOutput, speed_metrics
label_desc: Use image node_id 1 to create a new QuestionAnsweringSeq2SeqTrainer object from inherited base classes: Seq2SeqTrainer with example: obj = QuestionAnsweringSeq2SeqTrainer()