{
    'regressor_layers': 3,
    'embedding_size': 100,
    'num_train_steps': 5000,
    'attn_layers': 2,
    'attn_importance_strategy': 'mean',
    'encoder_units': 50,
    'learning_rate': 0.003,
    'encoder_layers': 1,
    'batch_size': 128,
    'regressor_units': 100,
    'classifier_layers': 1,
    'classifier_units': 128,
    'gradient_clip': 5.0,
    'dropout': 0.4,
    'use_glove': True,
    'attn_units': 512,
    }