[test_seq_label_trainer]
epochs = 1
batch_size = 32
validate = true
save_best_dev = true
use_cuda = true

[test_seq_label_model]
rnn_hidden_units = 100
rnn_layers = 1
rnn_bi_direction = true
word_emb_dim = 100
dropout = 0.5
use_crf = true
use_cuda = true

[test_seq_label_tester]
save_output = true
validate_in_training = true
save_dev_input = false
save_loss = true
batch_size = 1
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]
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
validate = false
save_best_dev = false
use_cuda = true
learn_rate = 1e-3
momentum = 0.9
model_name = "class_model.pkl"

[snli_trainer]
epochs = 5
batch_size = 32
validate = true
save_best_dev = true
use_cuda = true
learn_rate = 1e-4
loss = "cross_entropy"
print_every_step = 1000

[snli_tester]
batch_size = 512
use_cuda = true

[snli_model]
model_name = "snli_model.pkl"
embed_dim = 300
hidden_size = 300
batch_first = true
dropout = 0.5
gpu = true
embed_file = "./../data_for_tests/glove.840B.300d.txt"
embed_pkl = "./snli/embed.pkl"
examples = 0