{
  "architecture": [
    "U",
    "conv",
    "relu",
    "bn",
    [
      64,
      1024
    ]
  ],
  "batch_size": 8,
  "label_type": "boundary",
  "loss": "ce_dice",
  "num_gpus": 2,
  "optimizer": "adam",
  "run_name": "boundary_model_03",
  "data_transforms": "{'train': Compose(\n    <src.training.mytransforms.Flip object at 0x7f69e029c400>\n    <src.training.mytransforms.Contrast object at 0x7f69cc6f8730>\n    <src.training.mytransforms.Scaling object at 0x7f69cc6f8310>\n    <src.training.mytransforms.Rotate object at 0x7f69cc6f8550>\n    <src.training.mytransforms.Blur object at 0x7f69cc6f8af0>\n    <src.training.mytransforms.Noise object at 0x7f69cc6f8ac0>\n    <src.training.mytransforms.ToTensor object at 0x7f69cc6f8370>\n), 'val': <src.training.mytransforms.ToTensor object at 0x7f69cc6f8b50>}",
  "max_epochs": 240,
  "training_time": 3992.186108112335,
  "trained_epochs": 240
}