Use 512D embeddings

2018-03-17 14:22:39 -07:00 · 2018-03-17 14:22:39 -07:00 · 1084310ed1
parent 14ee2615eb
commit 1084310ed1
1 changed files with 1 additions and 1 deletions
--- a/hparams.py
+++ b/hparams.py
@ -20,7 +20,7 @@ hparams = tf.contrib.training.HParams(
  # Model:
  # TODO: add more configurable hparams
  outputs_per_step=5,
-  embedding_dim=256,
+  embedding_dim=512,

  # Training:
  batch_size=32,