train_config.json

{
    "batch_size": 16,
    "char_pretrained_path": "data/external/char_embed/glove.840B.300d-char.npy",
    "char_rep_size": 50,
    "char_vocab_path": "data/external/char_embed/glove.840B.300d-char.vocab",
    "dev_path": "out_features/ELMO/dev_data",
    "dev_th_range": [0.5, 0.6],

    "entity_merge_threshold": 0.5,
    "epochs": 50,
    "event_merge_threshold": 0.5,
    "feature_size": 50,
    "glove_path": "trained_model_n_data/glove.6B.300d.txt",
    "ft_path": "trained_model_n_data/glove.6B.300d.txt.vec",
    "gpu_num": 0,

    "load_predicted_topics": false,
    "log_interval": 32,
    "loss": "bce",
    "lr": 0.0001,
    "merge_iters": 2,
    "momentum": 0,

    "optimizer": "adam",
    "patient": 7,
    "random_seed": 2048,
    "regressor_epochs": 1,
    "remove_singletons": false,
    "resume_training": false,
    "seed": 1,

    "test_use_gold_mentions": true,
    "train_init_wd_entity_with_gold": true,
    "train_path": "out_features/ELMO/training_data",
    "use_args_feats": true,
    "use_binary_feats": true,
    "use_diff": false,
    "use_mult": true,
    "use_pretrained_char": true,

    "wd_entity_coref_file": "data/external/stanford_neural_wd_entity_coref_out/ecb_wd_coref.json",
    "weight_decay": 0

}