config_s2s.json

{
    "finetune_path": "",
    "train_path": "data/training.json",
    "test_path": "data/dev.json",
    "enc_word_vec_path": "data/vectors_RwNN.txt.st",
    "dec_word_vec_path": "data/vectors_RwNN.txt.st",
    "suffix": "gold",
    "model_dir": "logs_s2s",
    "isLower": true,
    "two_sent_inputs": false,

    "direction": "bidir",
    "pointer_gen": true,
    "use_coverage": true,
    "switch_qa": false,
    "attention_vec_size": 300,
    "cov_loss_wt": 0.1,

    "beam_size": 20,

    "min_answer_len": 0,
    "max_answer_len": 100,
    "batch_size": 20,
    "learning_rate": 0.001,
    "lambda_l2": 0.001,
    "dropout_rate": 0.2,
    "max_epochs": 50,
    "optimize_type": "adam",

    "with_filter_layer": true,
    "filter_layer_threshold": 0.2,
    "with_word_match": true,
    "with_sequential_match": true,
    "context_layer_num": 1,
    "context_lstm_dim": 300,

    "with_lex_decomposition": false,
    "lex_decompsition_dim": 50,
    "with_question_passage_word_feature": false,

    "with_phrase_projection": false,

    "with_highway": false,
    "highway_layer_num": 1,
    "with_match_highway": false,
    "with_aggregation_highway": false,

    "with_word": true,
    "with_char": true,
    "with_POS": false,
    "with_NER": false,
    "POS_dim": 20,
    "NER_dim": 20,
    "char_dim": 50,
    "char_lstm_dim": 100,
    "compress_input": false,
    "compress_input_dim": 300,
    "fix_word_vec": true,
    "max_passage_len": 100,
    "max_char_per_word": 20,

    "gen_hidden_size": 300,
    "num_softmax_samples": 100,
    "mode": "ce_train",

    "config_path": "config.json",
    "generate_config": false
}