{
    'regressor_layers': 1,
    'embedding_size': 300,
    'num_train_steps': 4000,
    'attn_layers': 1,
    'attn_importance_strategy': 'average',
    'encoder_units': 64,
    'learning_rate': 0.001,
    'encoder_layers': 2,
    'batch_size': 256,
    'regressor_units': 64,
    'classifier_layers': 3,
    'classifier_units': 64,
    'gradient_clip': 5.0,
    'dropout': 0.4,
    'use_glove': False,
    'attn_units': 64,
    }