[Data]
word_Embedding = True
freq_1_unk = False
word_Embedding_Path = ./word2vec/glove.sentiment.conj.pretrained.txt
datafile_path = 
name_trainfile = ./Data/raw.clean.train
name_devfile = ./Data/raw.clean.dev
name_testfile = ./Data/raw.clean.test
min_freq = 1
word_data = False
char_data = False
shuffle = True
epochs_shuffle = True
FIVE_CLASS_TASK = False
TWO_CLASS_TASK = True

[Save]
snapshot = None
predict = None
test = False
save_dir = snapshot
rm_model = True

[Model]
static = False
wide_conv = True
CNN = False
HighWay_CNN = False
CNN_MUI = False
DEEP_CNN = False
DEEP_CNN_MUI = False
LSTM = False
GRU = False
BiLSTM = False
BiLSTM_1 = False
HighWay_BiLSTM_1 = False
CNN_LSTM = False
CNN_BiLSTM = False
CLSTM = False
CBiLSTM = False
CGRU = False
BiGRU = True
CNN_BiGRU = False
embed_dim = 300
lstm_hidden_dim = 300
lstm_num_layers = 1
batch_normalizations = False
bath_norm_momentum = 0.1
batch_norm_affine = False
dropout = 0.75
dropout_embed = 0.75
max_norm = None
clip_max_norm = 10
kernel_num = 300
kernel_sizes = 3,4,5
init_weight = True
init_weight_value = 2.0

[Optimizer]
learning_rate = 0.001
Adam = True
SGD = False
Adadelta = False
optim_momentum_value = 0.9
weight_decay = 1e-8

[Train]
num_threads = 1
device = -1
cuda = True
epochs = 500
batch_size = 16
log_interval = 10
test_interval = 200
save_interval = 200

