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: optimum/examples/onnxruntime/training/question-answering/trainer_qa.py
imports: import math
  import time
  from transformers.trainer_utils import PredictionOutput, speed_metrics
  from optimum.onnxruntime import ORTTrainer
label_desc: Use image node_id 1 to create a new QuestionAnsweringORTTrainer object from inherited base classes: ORTTrainer with example: obj = QuestionAnsweringORTTrainer()