code: def transformer_revnet_base():
    
    hparams = transformer.transformer_big()
  
    # Use settings from transformer_n_da
    hparams.layer_preprocess_sequence = "n"
    hparams.layer_postprocess_sequence = "da"
    hparams.learning_rate = 0.4
  
    return hparams
docs: Base hparams for TransformerRevnet.