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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def transformer_librispeech_v1():
 """HParams for training ASR model on 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