def lmx_h1k_f64k ( ) : hparams = lmx_base ( ) hparams . hidden_size = 1024 hparams . filter_size = 65536 hparams . batch_size = 2048 return hparams
early stopping use keras lstm in python
HParams for training languagemodel_lm1b32k_packed . 880M Params .
def lmx_h1k_f64k():
  """HParams for training languagemodel_lm1b32k_packed.  880M Params."""
  hparams = lmx_base()
  hparams.hidden_size = 1024
  hparams.filter_size = 65536
  hparams.batch_size = 2048
  return hparams