diff options
Diffstat (limited to 'config')
| -rw-r--r-- | config/lstm-frigo-irc.py | 6 | ||||
| -rw-r--r-- | config/lstm-xreg.py | 48 |
2 files changed, 53 insertions, 1 deletions
diff --git a/config/lstm-frigo-irc.py b/config/lstm-frigo-irc.py index 4ae21e2..a0f5b5c 100644 --- a/config/lstm-frigo-irc.py +++ b/config/lstm-frigo-irc.py @@ -12,7 +12,11 @@ num_seqs = 50 seq_len = 5000 seq_div_size = 200 -hidden_dims = [1024, 1024, 1024] +layers = [ + {'dim': 1024}, + {'dim': 1024}, + {'dim': 1024}, +] activation_function = Tanh() i2h_all = True # input to all hidden layers or only first layer diff --git a/config/lstm-xreg.py b/config/lstm-xreg.py new file mode 100644 index 0000000..66f7c51 --- /dev/null +++ b/config/lstm-xreg.py @@ -0,0 +1,48 @@ +from blocks.algorithms import AdaDelta +from blocks.bricks import Tanh + +from model.lstm import Model + +dataset = 'data/logcompil.txt' +io_dim = 256 + +# An epoch will be composed of 'num_seqs' sequences of len 'seq_len' +# divided in chunks of lengh 'seq_div_size' +num_seqs = 50 +seq_len = 5000 +seq_div_size = 200 + +layers = [ + {'dim': 1024, + 'xreg': (768, 0.1, 10, 10, 6) + }, + {'dim': 1024, + 'xreg': (768, 0.1, 10, 10, 6) + }, + {'dim': 1024, + }, +] +activation_function = Tanh() + +i2h_all = True # input to all hidden layers or only first layer +h2o_all = True # all hiden layers to output or only last layer + +w_noise_std = 0.02 +i_dropout = 0.5 + +l1_reg = 0 + +step_rule = AdaDelta() + +# parameter saving freq (number of batches) +monitor_freq = 100 +save_freq = 100 + +# used for sample generation and IRC mode +sample_temperature = 0.7 #0.5 + +# do we want to generate samples at times during training? +sample_len = 1000 +sample_freq = 100 +sample_init = '\nalex\ttu crois?\n' + |