text: import torch
  
  import Resources.training as r
  from Models.erfh5_ConvModel import S20DeconvToDrySpotEff2
  from Pipeline.data_gather import get_filelist_within_folder_blacklisted
  from Pipeline.data_loader_dryspot import DataloaderDryspots
  from Trainer.ModelTrainer import ModelTrainer
  from Trainer.evaluation import BinaryClassificationEvaluator
  from Utils.eval_utils import run_eval_w_binary_classificator
  
  if __name__ == "__main__":
      dl = DataloaderDryspots(sensor_indizes=((1, 8), (1, 8)),
                              aux_info=True)
  
      checkpoint_p = r.chkp_S20_to_ds_retrain
      adv_output_dir = checkpoint_p.parent / "advanced_eval"
      m = ModelTrainer(
          lambda: S20DeconvToDrySpotEff2(pretrained="all",
                                         checkpoint_path=r.chkp_S20_to_ds,
                                         freeze_nlayers=13,
                                         round_at=0.8),
          data_source_paths=r.get_data_paths_base_0(),
          save_path=r.save_path,
          load_datasets_path=r.datasets_dryspots,
          cache_path=r.cache_path,
          batch_size=2048,
          train_print_frequency=100,
          epochs=1000,
          num_workers=75,
          num_validation_samples=131072,
          num_test_samples=1048576,
          data_processing_function=dl.get_sensor_bool_dryspot,
          data_gather_function=get_filelist_within_folder_blacklisted,
          loss_criterion=torch.nn.BCELoss(),
          optimizer_function=lambda params: torch.optim.AdamW(params, lr=0.0001),
          classification_evaluator_function=lambda summary_writer:
          BinaryClassificationEvaluator(summary_writer=summary_writer),
          caching_torch=False
      )
  
      run_eval_w_binary_classificator(adv_output_dir, m, checkpoint_p)
  