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author | Alex Auvolat <alex@adnab.me> | 2016-04-25 10:58:34 +0200 |
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committer | Alex Auvolat <alex@adnab.me> | 2016-04-25 10:58:34 +0200 |
commit | 647dce75ba7483b8fa0b64ef64ecaab70932b769 (patch) | |
tree | 1c667306d5e7f1aec6f635c63cbedd6945bafa74 /config | |
parent | a4cc8d56a97968f4d994cf62c9d81aa68c3604aa (diff) | |
download | text-rnn-647dce75ba7483b8fa0b64ef64ecaab70932b769.tar.gz text-rnn-647dce75ba7483b8fa0b64ef64ecaab70932b769.zip |
Batch size changes, mostly
Diffstat (limited to 'config')
-rw-r--r-- | config/lstm-frigo-irc.py | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/config/lstm-frigo-irc.py b/config/lstm-frigo-irc.py index 2d0bf3a..4ae21e2 100644 --- a/config/lstm-frigo-irc.py +++ b/config/lstm-frigo-irc.py @@ -3,14 +3,14 @@ from blocks.bricks import Tanh from model.lstm import Model -dataset = 'data/logcompil-2016-03-07.txt' +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 = 100 -seq_len = 2000 -seq_div_size = 100 +num_seqs = 50 +seq_len = 5000 +seq_div_size = 200 hidden_dims = [1024, 1024, 1024] activation_function = Tanh() @@ -26,7 +26,7 @@ l1_reg = 0 step_rule = AdaDelta() # parameter saving freq (number of batches) -monitor_freq = 10 +monitor_freq = 100 save_freq = 100 # used for sample generation and IRC mode |