diff options
| author | Patrick Simianer <p@simianer.de> | 2013-11-12 18:36:03 +0100 |
|---|---|---|
| committer | Patrick Simianer <p@simianer.de> | 2013-11-12 18:36:03 +0100 |
| commit | a6d8ae2bd3cc2294e17588656e6aa20a96f6fcbc (patch) | |
| tree | 26b83bb99ef562237b8d187d6782781a3f7e3316 /training/dtrain/examples/standard | |
| parent | a7a0773b0e299f71409cf4a13d18ea7db5ab3fc1 (diff) | |
implemented batch tuning
Diffstat (limited to 'training/dtrain/examples/standard')
| -rw-r--r-- | training/dtrain/examples/standard/dtrain.ini | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/training/dtrain/examples/standard/dtrain.ini b/training/dtrain/examples/standard/dtrain.ini index 7dbb4ff0..4d096dfb 100644 --- a/training/dtrain/examples/standard/dtrain.ini +++ b/training/dtrain/examples/standard/dtrain.ini @@ -11,11 +11,11 @@ print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 Phr stop_after=10 # stop epoch after 10 inputs # interesting stuff -epochs=3 # run over input 3 times +epochs=100 # run over input 3 times k=100 # use 100best lists N=4 # optimize (approx) BLEU4 scorer=fixed_stupid_bleu # use 'stupid' BLEU+1 -learning_rate=1.0 # learning rate, don't care if gamma=0 (perceptron) and loss_margin=0 (not margin perceptron) +learning_rate=0.0001 # learning rate, don't care if gamma=0 (perceptron) and loss_margin=0 (not margin 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) |