# Paths To Datasets And Evaluation

path_train : data/genia/genia.train.iob2
path_dev : data/genia/genia.dev.iob2
path_test : data/genia/genia.test.iob2

path_eval_result : ../evaluation/

# Dataset Format
tag_scheme : iob

# Early Stopping
early_stopping_eps : 0
early_stopping : 5

# Model Settings
epoch : 20
replace_digit : true
lowercase : false
use_singletons : true

# Using Pretrained Embeddings
path_pre_emb : data/embedding/PubMed-shuffle-win-30.txt
#path_pre_emb :
# Network Structure
word_embedding_dim : 200
char_embedding_dim : 25
tag_embedding_dim : 5
batch_size : 50

# Hyperparameters
dropout_ratio : 0.5
lr_param : 0.0001
threshold : 5
decay_rate : 0.0001

# For Training and Tuning
gpus : {'main': 0}
mode : 'test'
mappings_path : ../evaluation/mappings.pkl

# Evaluation
path_model : ../result/model_iter_5709
script_folder : ../script/
result_folder : ../result/
