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from blocks.algorithms import BasicMomentum, AdaDelta, RMSProp, Adam, CompositeRule, StepClipping
from blocks.initialization import IsotropicGaussian, Constant
from blocks.bricks import Tanh
from model.deep_bidir_lstm import Model
batch_size = 32
sort_batch_count = 20
shuffle_questions = True
shuffle_entities = True
concat_ctx_and_question = True
concat_question_before = True ## should not matter for bidirectionnal network
embed_size = 200
lstm_size = [128, 128]
skip_connections = True
n_entities = 550
out_mlp_hidden = []
out_mlp_activations = []
step_rule = CompositeRule([RMSProp(decay_rate=0.95, learning_rate=5e-5),
BasicMomentum(momentum=0.9)])
dropout = 0.1
w_noise = 0.05
valid_freq = 1000
save_freq = 1000
print_freq = 100
weights_init = IsotropicGaussian(0.01)
biases_init = Constant(0.)
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