transfer-config.yaml

experiment_name: 'siamese-transfer-baseline'

task: 'inference'
make_dict: False
data_preprocessing: False

ckpt_dir: 'ckpt/'

training:
    num_epochs: 40
    earlystop: 0.3
    en_learning_rate: 0.01
    en_optimizer: 'sgd'
    sp_learning_rate: 0.01
    sp_optimizer: 'adadelta'
    # optimizer options = ['adam', 'adadelta', 'rmsprop']


embedding:
    full_embedding_path: 'input/wiki.es.vec'
    cur_embedding_path: 'input/embedding.pkl'

model:
    fc_dim: 50
    fc_dropout: 0.1
    name: 'siamese'
    embed_size: 300
    batch_size: 1
    embedding_freeze: False
    encoder:
        hidden_size: 50
        num_layers: 1
        bidirectional: False
        dropout: 0.5

result:
    filename: 'result.txt'
    filepath: 'res/'