text: from model.trainer import Trainer
  
  if __name__ == "__main__":
      trainer = Trainer("delaney")
  
      hyperparameters = {"epoch": 150, "batch": 8, "fold": 10, "units_conv": 128, "units_dense": 128, "pooling": "sum",
                         "num_layers": 2, "loss": "mse", "monitor": "val_rmse", "label": ""}
  
      features = {"use_atom_symbol": True, "use_degree": True, "use_hybridization": True, "use_implicit_valence": True,
                  "use_partial_charge": True, "use_ring_size": True, "use_hydrogen_bonding": True,
                  "use_acid_base": True, "use_aromaticity": True, "use_chirality": True, "use_num_hydrogen": True}
  
      # Baseline
      trainer.fit("model_3DGCN", **hyperparameters, **features)
  