code: def get_config():
      """Get the default hyperparameter configuration."""
      config = ml_collections.ConfigDict()
  
      config.embedding_size = 300
      config.hidden_size = 256
      config.vocab_size = None
      config.output_size = 1
  
      config.vocab_path = "vocab.txt"
      config.max_input_length = 60
  
      config.dropout_rate = 0.5
      config.word_dropout_rate = 0.1
      config.unk_idx = 1
  
      config.learning_rate = 0.1
      config.momentum = 0.9
      config.weight_decay = 3e-6
  
      config.batch_size = 64
      config.bucket_size = 8
      config.num_epochs = 10
  
      config.seed = 0
  
      return config
  
label_desc: Use image node_id 1 for calling a global function with example usage: get_config() and returns: config