code: def transformer_parsing_big():
    
    hparams = transformer_big()
    hparams.max_length = 512
    hparams.shared_source_target_embedding = False
    hparams.learning_rate_warmup_steps = 4000
    hparams.layer_prepostprocess_dropout = 0.1
    hparams.batch_size = 2048
    hparams.learning_rate = 0.05
    return hparams
docs: HParams for parsing on WSJ semi-supervised.