code: def __init__(self, model):
      self.model = model
      self.sample_count = 5
  
file_path: Kashgari/examples/web_qa_reading_comprehence.py
imports: import os
  import json
  from kashgari.tokenizers.bert_tokenizer import BertTokenizer
  from kashgari.embeddings import BertEmbedding
  from examples.tools import get_bert_path
  from kashgari.tasks.seq2seq.model import Seq2Seq
  import tensorflow
label_desc: Use image node_id 1 to create a new CustomCallback object from inherited base classes: tf.keras.callbacks with example: obj = CustomCallback(model)