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authorAlex Auvolat <alex@adnab.me>2016-03-09 09:55:43 +0100
committerAlex Auvolat <alex@adnab.me>2016-03-09 09:55:43 +0100
commit62c05c06013e7204c1e7681a7e2ac7541f2acbcb (patch)
treed5f6825e4747ecf0eebba0e11d0bd3c0ec31b764 /config/hpc-lstm-1.py
parentbb9ebdeee88409a209d1bcc04a374e4b7d7e13d2 (diff)
downloadtext-rnn-62c05c06013e7204c1e7681a7e2ac7541f2acbcb.tar.gz
text-rnn-62c05c06013e7204c1e7681a7e2ac7541f2acbcb.zip
Very nice model
Diffstat (limited to 'config/hpc-lstm-1.py')
-rw-r--r--config/hpc-lstm-1.py10
1 files changed, 8 insertions, 2 deletions
diff --git a/config/hpc-lstm-1.py b/config/hpc-lstm-1.py
index dac0ff1..abd4e38 100644
--- a/config/hpc-lstm-1.py
+++ b/config/hpc-lstm-1.py
@@ -1,10 +1,17 @@
+import numpy
+from numpy.random import RandomState
+
from blocks.algorithms import AdaDelta, Momentum
from blocks.bricks import Tanh, Rectifier
from model.hpc_lstm import Model
dataset = 'data/logcompil-2016-03-07.txt'
+
io_dim = 256
+repr_dim = 512
+embedding_matrix = (RandomState(42).binomial(1, 20./512., ((io_dim, repr_dim)))
+ -RandomState(123).binomial(1, 20./512., ((io_dim, repr_dim))))
# An epoch will be composed of 'num_seqs' sequences of len 'seq_len'
# divided in chunks of lengh 'seq_div_size'
@@ -13,9 +20,8 @@ seq_len = 2000
seq_div_size = 100
hidden_dims = [128, 128, 256, 512]
-cost_factors = [10., 1., 1., 1.]
+cost_factors = [1., 1., 1., 1.]
hidden_q = [0.1, 0.15, 0.22, 0.33]
-error_scale_factor = [2., 1.5, 1.5, 1.5]
activation_function = Tanh()
out_hidden = [512]