| { |
| "_best_ema": "None", |
| "batch_size": "2", |
| "configuration_manager": "{'data_identifier': 'nnUNetPlans_3d_fullres', 'preprocessor_name': 'DefaultPreprocessor', 'batch_size': 2, 'patch_size': [128, 128, 128], 'median_image_size_in_voxels': [320.0, 314.0, 314.0], 'spacing': [7.91, 7.91, 7.91], 'normalization_schemes': ['CTNormalization'], 'use_mask_for_norm': [False], 'resampling_fn_data': 'resample_data_or_seg_to_shape', 'resampling_fn_seg': 'resample_data_or_seg_to_shape', 'resampling_fn_data_kwargs': {'is_seg': False, 'order': 3, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_seg_kwargs': {'is_seg': True, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_probabilities': 'resample_data_or_seg_to_shape', 'resampling_fn_probabilities_kwargs': {'is_seg': False, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'architecture': {'network_class_name': 'dynamic_network_architectures.architectures.unet.PlainConvUNet', 'arch_kwargs': {'n_stages': 6, 'features_per_stage': [32, 64, 128, 256, 320, 320], 'conv_op': 'torch.nn.modules.conv.Conv3d', 'kernel_sizes': [[3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3]], 'strides': [[1, 1, 1], [2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2]], 'n_conv_per_stage': [2, 2, 2, 2, 2, 2], 'n_conv_per_stage_decoder': [2, 2, 2, 2, 2], 'conv_bias': True, 'norm_op': 'torch.nn.modules.instancenorm.InstanceNorm3d', 'norm_op_kwargs': {'eps': 1e-05, 'affine': True}, 'dropout_op': None, 'dropout_op_kwargs': None, 'nonlin': 'torch.nn.LeakyReLU', 'nonlin_kwargs': {'inplace': True}}, '_kw_requires_import': ['conv_op', 'norm_op', 'dropout_op', 'nonlin']}, 'batch_dice': True}", |
| "configuration_name": "3d_fullres", |
| "cudnn_version": 91002, |
| "current_epoch": "0", |
| "dataloader_train": "<batchgenerators.dataloading.nondet_multi_threaded_augmenter.NonDetMultiThreadedAugmenter object at 0x7bbf71fbc370>", |
| "dataloader_train.generator": "<nnunetv2.training.dataloading.data_loader.nnUNetDataLoader object at 0x7bbf7a948100>", |
| "dataloader_train.num_processes": "4", |
| "dataloader_train.transform": "None", |
| "dataloader_val": "<batchgenerators.dataloading.nondet_multi_threaded_augmenter.NonDetMultiThreadedAugmenter object at 0x7bbf71fbd9f0>", |
| "dataloader_val.generator": "<nnunetv2.training.dataloading.data_loader.nnUNetDataLoader object at 0x7bbf7a9486a0>", |
| "dataloader_val.num_processes": "2", |
| "dataloader_val.transform": "None", |
| "dataset_json": "{'channel_names': {'0': 'CT'}, 'labels': {'background': 0, 'surface': 1, 'interior': 2}, 'numTraining': 786, 'file_ending': '.tif'}", |
| "device": "cuda:0", |
| "disable_checkpointing": "False", |
| "enable_deep_supervision": "True", |
| "fold": "all", |
| "folder_with_segs_from_previous_stage": "None", |
| "gpu_name": "NVIDIA A10G", |
| "grad_scaler": "<torch.amp.grad_scaler.GradScaler object at 0x7bbf7de6da20>", |
| "hostname": "ip-172-31-35-235", |
| "inference_allowed_mirroring_axes": "(0, 1, 2)", |
| "initial_lr": "0.01", |
| "is_cascaded": "False", |
| "is_ddp": "False", |
| "label_manager": "<nnunetv2.utilities.label_handling.label_handling.LabelManager object at 0x7bbf7de6da80>", |
| "local_rank": "0", |
| "log_file": "/home/ubuntu/vesuvius/nnunet_work/nnUNet_results/Dataset011_Vesuvius/nnUNetTrainer_200epochs__nnUNetPlans__3d_fullres/fold_all/training_log_2026_3_3_21_33_06.txt", |
| "logger": "<nnunetv2.training.logging.nnunet_logger.nnUNetLogger object at 0x7bbf7de6dc00>", |
| "loss": "DeepSupervisionWrapper(\n (loss): DC_and_CE_loss(\n (ce): RobustCrossEntropyLoss()\n (dc): OptimizedModule(\n (_orig_mod): MemoryEfficientSoftDiceLoss()\n )\n )\n)", |
| "lr_scheduler": "<nnunetv2.training.lr_scheduler.polylr.PolyLRScheduler object at 0x7bbf7a8b9c30>", |
| "my_init_kwargs": "{'plans': {'dataset_name': 'Dataset011_Vesuvius', 'plans_name': 'nnUNetPlans', 'original_median_spacing_after_transp': [7.91, 7.91, 7.91], 'original_median_shape_after_transp': [320, 314, 314], 'image_reader_writer': 'Tiff3DIO', 'transpose_forward': [0, 1, 2], 'transpose_backward': [0, 1, 2], 'configurations': {'2d': {'data_identifier': 'nnUNetPlans_2d', 'preprocessor_name': 'DefaultPreprocessor', 'batch_size': 32, 'patch_size': [320, 320], 'median_image_size_in_voxels': [314.0, 314.0], 'spacing': [7.91, 7.91], 'normalization_schemes': ['CTNormalization'], 'use_mask_for_norm': [False], 'resampling_fn_data': 'resample_data_or_seg_to_shape', 'resampling_fn_seg': 'resample_data_or_seg_to_shape', 'resampling_fn_data_kwargs': {'is_seg': False, 'order': 3, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_seg_kwargs': {'is_seg': True, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_probabilities': 'resample_data_or_seg_to_shape', 'resampling_fn_probabilities_kwargs': {'is_seg': False, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'architecture': {'network_class_name': 'dynamic_network_architectures.architectures.unet.PlainConvUNet', 'arch_kwargs': {'n_stages': 7, 'features_per_stage': [32, 64, 128, 256, 512, 512, 512], 'conv_op': 'torch.nn.modules.conv.Conv2d', 'kernel_sizes': [[3, 3], [3, 3], [3, 3], [3, 3], [3, 3], [3, 3], [3, 3]], 'strides': [[1, 1], [2, 2], [2, 2], [2, 2], [2, 2], [2, 2], [2, 2]], 'n_conv_per_stage': [2, 2, 2, 2, 2, 2, 2], 'n_conv_per_stage_decoder': [2, 2, 2, 2, 2, 2], 'conv_bias': True, 'norm_op': 'torch.nn.modules.instancenorm.InstanceNorm2d', 'norm_op_kwargs': {'eps': 1e-05, 'affine': True}, 'dropout_op': None, 'dropout_op_kwargs': None, 'nonlin': 'torch.nn.LeakyReLU', 'nonlin_kwargs': {'inplace': True}}, '_kw_requires_import': ['conv_op', 'norm_op', 'dropout_op', 'nonlin']}, 'batch_dice': True}, '3d_lowres': {'data_identifier': 'nnUNetPlans_3d_lowres', 'preprocessor_name': 'DefaultPreprocessor', 'batch_size': 2, 'patch_size': [128, 128, 128], 'median_image_size_in_voxels': [205, 202, 202], 'spacing': [12.323522265312054, 12.323522265312054, 12.323522265312054], 'normalization_schemes': ['CTNormalization'], 'use_mask_for_norm': [False], 'resampling_fn_data': 'resample_data_or_seg_to_shape', 'resampling_fn_seg': 'resample_data_or_seg_to_shape', 'resampling_fn_data_kwargs': {'is_seg': False, 'order': 3, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_seg_kwargs': {'is_seg': True, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_probabilities': 'resample_data_or_seg_to_shape', 'resampling_fn_probabilities_kwargs': {'is_seg': False, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'architecture': {'network_class_name': 'dynamic_network_architectures.architectures.unet.PlainConvUNet', 'arch_kwargs': {'n_stages': 6, 'features_per_stage': [32, 64, 128, 256, 320, 320], 'conv_op': 'torch.nn.modules.conv.Conv3d', 'kernel_sizes': [[3, 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'resample_data_or_seg_to_shape', 'resampling_fn_data_kwargs': {'is_seg': False, 'order': 3, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_seg_kwargs': {'is_seg': True, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_probabilities': 'resample_data_or_seg_to_shape', 'resampling_fn_probabilities_kwargs': {'is_seg': False, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'architecture': {'network_class_name': 'dynamic_network_architectures.architectures.unet.PlainConvUNet', 'arch_kwargs': {'n_stages': 6, 'features_per_stage': [32, 64, 128, 256, 320, 320], 'conv_op': 'torch.nn.modules.conv.Conv3d', 'kernel_sizes': [[3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3]], 'strides': [[1, 1, 1], [2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2]], 'n_conv_per_stage': [2, 2, 2, 2, 2, 2], 'n_conv_per_stage_decoder': [2, 2, 2, 2, 2], 'conv_bias': True, 'norm_op': 'torch.nn.modules.instancenorm.InstanceNorm3d', 'norm_op_kwargs': {'eps': 1e-05, 'affine': True}, 'dropout_op': None, 'dropout_op_kwargs': None, 'nonlin': 'torch.nn.LeakyReLU', 'nonlin_kwargs': {'inplace': True}}, '_kw_requires_import': ['conv_op', 'norm_op', 'dropout_op', 'nonlin']}, 'batch_dice': True}, '3d_cascade_fullres': {'inherits_from': '3d_fullres', 'previous_stage': '3d_lowres'}}, 'experiment_planner_used': 'ExperimentPlanner', 'label_manager': 'LabelManager', 'foreground_intensity_properties_per_channel': {'0': {'max': 255.0, 'mean': 87.54424285888672, 'median': 81.0, 'min': 0.0, 'percentile_00_5': 0.0, 'percentile_99_5': 212.0, 'std': 47.74376678466797}}}, 'configuration': '3d_fullres', 'fold': 'all', 'dataset_json': {'channel_names': {'0': 'CT'}, 'labels': {'background': 0, 'surface': 1, 'interior': 2}, 'numTraining': 786, 'file_ending': '.tif'}, 'device': device(type='cuda')}", |
| "network": "OptimizedModule", |
| "num_epochs": "200", |
| "num_input_channels": "1", |
| "num_iterations_per_epoch": "250", |
| "num_val_iterations_per_epoch": "50", |
| "optimizer": "SGD (\nParameter Group 0\n dampening: 0\n differentiable: False\n foreach: None\n fused: None\n initial_lr: 0.01\n lr: 0.01\n maximize: False\n momentum: 0.99\n nesterov: True\n weight_decay: 3e-05\n)", |
| "output_folder": "/home/ubuntu/vesuvius/nnunet_work/nnUNet_results/Dataset011_Vesuvius/nnUNetTrainer_200epochs__nnUNetPlans__3d_fullres/fold_all", |
| "output_folder_base": "/home/ubuntu/vesuvius/nnunet_work/nnUNet_results/Dataset011_Vesuvius/nnUNetTrainer_200epochs__nnUNetPlans__3d_fullres", |
| "oversample_foreground_percent": "0.33", |
| "plans_manager": "{'dataset_name': 'Dataset011_Vesuvius', 'plans_name': 'nnUNetPlans', 'original_median_spacing_after_transp': [7.91, 7.91, 7.91], 'original_median_shape_after_transp': [320, 314, 314], 'image_reader_writer': 'Tiff3DIO', 'transpose_forward': [0, 1, 2], 'transpose_backward': [0, 1, 2], 'configurations': {'2d': {'data_identifier': 'nnUNetPlans_2d', 'preprocessor_name': 'DefaultPreprocessor', 'batch_size': 32, 'patch_size': [320, 320], 'median_image_size_in_voxels': [314.0, 314.0], 'spacing': [7.91, 7.91], 'normalization_schemes': ['CTNormalization'], 'use_mask_for_norm': [False], 'resampling_fn_data': 'resample_data_or_seg_to_shape', 'resampling_fn_seg': 'resample_data_or_seg_to_shape', 'resampling_fn_data_kwargs': {'is_seg': False, 'order': 3, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_seg_kwargs': {'is_seg': True, 'order': 1, 'order_z': 0, 'force_separate_z': None}, 'resampling_fn_probabilities': 'resample_data_or_seg_to_shape', 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'affine': True}, 'dropout_op': None, 'dropout_op_kwargs': None, 'nonlin': 'torch.nn.LeakyReLU', 'nonlin_kwargs': {'inplace': True}}, '_kw_requires_import': ['conv_op', 'norm_op', 'dropout_op', 'nonlin']}, 'batch_dice': True}, '3d_cascade_fullres': {'inherits_from': '3d_fullres', 'previous_stage': '3d_lowres'}}, 'experiment_planner_used': 'ExperimentPlanner', 'label_manager': 'LabelManager', 'foreground_intensity_properties_per_channel': {'0': {'max': 255.0, 'mean': 87.54424285888672, 'median': 81.0, 'min': 0.0, 'percentile_00_5': 0.0, 'percentile_99_5': 212.0, 'std': 47.74376678466797}}}", |
| "preprocessed_dataset_folder": "/home/ubuntu/vesuvius/nnunet_work/nnUNet_preprocessed/Dataset011_Vesuvius/nnUNetPlans_3d_fullres", |
| "preprocessed_dataset_folder_base": "/home/ubuntu/vesuvius/nnunet_work/nnUNet_preprocessed/Dataset011_Vesuvius", |
| "probabilistic_oversampling": "False", |
| "save_every": "50", |
| "torch_version": "2.10.0+cu128", |
| "was_initialized": "True", |
| "weight_decay": "3e-05" |
| } |