code: def transformer_librispeech_v1():
    
    hparams = transformer_base()
  
    hparams.num_heads = 4
    hparams.filter_size = 1024
    hparams.hidden_size = 256
    hparams.num_encoder_layers = 5
    hparams.num_decoder_layers = 3
    hparams.learning_rate = 0.15
    hparams.batch_size = 6000000
  
    librispeech.set_librispeech_length_hparams(hparams)
    return hparams
docs: HParams for training ASR model on LibriSpeech V1.