fastNLP/test/data_for_tests/config

[General]
revision = "first"
datapath = "./data/smallset/imdb/"
embed_path = "./data/smallset/imdb/embedding.txt"
optimizer = "adam"
attn_mode = "rout"
seq_encoder = "bilstm"
out_caps_num = 5
rout_iter = 3
max_snt_num = 40
max_wd_num = 40
max_epochs = 50
pre_trained = true
batch_sz = 32
batch_sz_min = 32
bucket_sz = 5000
partial_update_until_epoch = 2
embed_size = 300
hidden_size = 200
dense_hidden = [300, 10]
lr = 0.0002
decay_steps = 1000
decay_rate = 0.9
dropout = 0.2
early_stopping = 7
reg = 1e-06

[My]
datapath = "./data/smallset/imdb/"
embed_path = "./data/smallset/imdb/embedding.txt"
optimizer = "adam"
attn_mode = "rout"
seq_encoder = "bilstm"
out_caps_num = 5
rout_iter = 3
max_snt_num = 40
max_wd_num = 40
max_epochs = 50
pre_trained = true
batch_sz = 32
batch_sz_min = 32
bucket_sz = 5000
partial_update_until_epoch = 2
embed_size = 300
hidden_size = 200
dense_hidden = [300, 10]
lr = 0.0002
decay_steps = 1000
decay_rate = 0.9
dropout = 0.2
early_stopping = 70
reg = 1e-05
test = 5
new_attr = 40

[POS]
epochs = 1
batch_size = 32
pickle_path = "./data_for_tests/"
validate = true
save_best_dev = true
model_saved_path = "./"
rnn_hidden_units = 100
rnn_layers = 1
rnn_bi_direction = true
word_emb_dim = 100
dropout = 0.5
use_crf = true
use_cuda = true

[POS_test]
save_output = true
validate_in_training = true
save_dev_input = false
save_loss = true
batch_size = 1
pickle_path = "./data_for_tests/"
rnn_hidden_units = 100
rnn_layers = 1
rnn_bi_direction = true
word_emb_dim = 100
dropout = 0.5
use_crf = true
use_cuda = true

[POS_infer]
pickle_path = "./data_for_tests/"
rnn_hidden_units = 100
rnn_layers = 1
rnn_bi_direction = true
word_emb_dim = 100
vocab_size = 53
num_classes = 27

[text_class]
epochs = 1
batch_size = 10
pickle_path = "./save_path/"
validate = false
save_best_dev = false
model_saved_path = "./save_path/"
use_cuda = true
learn_rate = 1e-3
momentum = 0.9

[text_class_model]
vocab_size = 867
num_classes = 18