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authorPatrick Simianer <simianer@cl.uni-heidelberg.de>2012-11-05 18:57:39 +0100
committerPatrick Simianer <simianer@cl.uni-heidelberg.de>2012-11-05 18:57:39 +0100
commit0c54220adfaada6ad1e2d54f31a9895da35127fd (patch)
tree1e19af403041bd86933ce88fa1a70030ab100ca2 /dtrain/test/example/dtrain.ini
parent6f29f345dc06c1a1033475eac1d1340781d1d603 (diff)
build fix, default learning rate
Diffstat (limited to 'dtrain/test/example/dtrain.ini')
-rw-r--r--dtrain/test/example/dtrain.ini8
1 files changed, 4 insertions, 4 deletions
diff --git a/dtrain/test/example/dtrain.ini b/dtrain/test/example/dtrain.ini
index 8338b2d3..72d50ca1 100644
--- a/dtrain/test/example/dtrain.ini
+++ b/dtrain/test/example/dtrain.ini
@@ -1,18 +1,18 @@
input=test/example/nc-wmt11.1k.gz # use '-' for STDIN
output=- # a weights file (add .gz for gzip compression) or STDOUT '-'
-select_weights=VOID # don't output weights
+select_weights=VOID # don't output weights
decoder_config=test/example/cdec.ini # config for cdec
# weights for these features will be printed on each iteration
print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough
tmp=/tmp
-stop_after=100 # stop epoch after 10 inputs
+stop_after=10 # stop epoch after 10 inputs
# interesting stuff
-epochs=3 # run over input 3 times
+epochs=2 # run over input 2 times
k=100 # use 100best lists
N=4 # optimize (approx) BLEU4
scorer=stupid_bleu # use 'stupid' BLEU+1
-learning_rate=0.0001 # learning rate
+learning_rate=1.0 # learning rate, don't care if gamma=0 (perceptron)
gamma=0 # use SVM reg
sample_from=kbest # use kbest lists (as opposed to forest)
filter=uniq # only unique entries in kbest (surface form)