[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 = "./data_for_tests/" validate = false save_best_dev = false model_saved_path = "./data_for_tests/" use_cuda = true learn_rate = 1e-3 momentum = 0.9 [text_class_model] vocab_size = 867 num_classes = 18