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| "_best_ema": "None", |
| "_best_ema_f1": "None", |
| "alpha": "0", |
| "batch_size": "141", |
| "beta": "1", |
| "configuration_manager": "{'data_identifier': 'nnUNetWithClassificationPlans_1d', 'preprocessor_name': 'WithClassificationPreprocessor', 'batch_size': 141, 'patch_size': [2048], 'median_image_size_in_voxels': [2048.0], 'spacing': [1.0], 'normalization_schemes': ['ZScoreNormalization'], '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': 'nnunetv2.models.custom_architectures.UNetWithClassificationBranches', 'arch_kwargs': {'n_stages': 6, 'features_per_stage': [64, 128, 256, 512, 1024, 2048], 'conv_op': 'torch.nn.modules.conv.Conv1d', 'kernel_sizes': [[5], [5], [5], [5], [5], [5]], 'strides': [[1], [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, 'use_encoding_layers_classification_branch': False, 'use_decoding_layers_classification_branch': True, 'num_classes_classification_branch': [2, 2], 'features_per_stage_classification_branch': [[512], [512]], 'kernel_sizes_classification_branch': [[17], [17]], 'strides_classification_branch': [[2], [2]], 'norm_op': 'torch.nn.modules.instancenorm.InstanceNorm1d', '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": "1d_decoding", |
| "cudnn_version": 90100, |
| "current_epoch": "0", |
| "dataloader_train": "<batchgenerators.dataloading.nondet_multi_threaded_augmenter.NonDetMultiThreadedAugmenter object at 0x7f8ca9435840>", |
| "dataloader_train.generator": "<nnunetv2.training.dataloading.data_loader_1d_classification.nnUNetWithClassificationDataLoader1D object at 0x7f8ca9437400>", |
| "dataloader_train.num_processes": "12", |
| "dataloader_train.transform": "None", |
| "dataloader_val": "<batchgenerators.dataloading.nondet_multi_threaded_augmenter.NonDetMultiThreadedAugmenter object at 0x7f8ca9435cf0>", |
| "dataloader_val.generator": "<nnunetv2.training.dataloading.data_loader_1d_classification.nnUNetWithClassificationDataLoader1D object at 0x7f8ca9437340>", |
| "dataloader_val.num_processes": "6", |
| "dataloader_val.transform": "None", |
| "dataset_json": "{'channel_names': {'0': 'LeadII', '1': 'LeadV1', '2': 'LeadV6'}, 'labels': {'background': 0, 'p_wave': 1, 'qrs_wave': 2, 't_wave': 3, 'noise': 4, 'qrs_abnormal': 5}, 'use_for_validation': {'background': False, 'p_wave': True, 'qrs_wave': True, 't_wave': True, 'noise': True, 'qrs_abnormal': True}, 'classification_head': True, 'binary': True, 'numTraining': 87800, 'file_ending': '.npy'}", |
| "device": "cuda:0", |
| "disable_checkpointing": "False", |
| "enable_deep_supervision": "True", |
| "fold": "2", |
| "folder_with_segs_from_previous_stage": "None", |
| "gpu_name": "NVIDIA GeForce RTX 3090", |
| "grad_scaler": "<torch.cuda.amp.grad_scaler.GradScaler object at 0x7f8cbc302ad0>", |
| "hostname": "betal112465", |
| "inference_allowed_mirroring_axes": "(0,)", |
| "initial_lr": "0.0005", |
| "is_cascaded": "False", |
| "is_ddp": "False", |
| "label_manager": "<nnunetv2.utilities.label_handling.label_handling.LabelManager object at 0x7f8cbc303190>", |
| "local_rank": "0", |
| "log_file": "/home/lukas/UU/ASRA/ALADINv2/data/nnUNet_results/Dataset201_all_101/ClassificationTrainer__nnUNetWithClassificationPlans__1d_decoding/fold_2/training_log_2025_12_2_07_02_28.txt", |
| "logger": "<nnunetv2.training.logging.nnunet_logger.nnUNetWithClassificationLogger object at 0x7f8cbc59d510>", |
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| "network": "UNetWithClassificationBranches", |
| "num_epochs": "32", |
| "num_input_channels": "3", |
| "num_iterations_per_epoch": "100", |
| "num_val_iterations_per_epoch": "20", |
| "optimizer": "AdamW (\nParameter Group 0\n amsgrad: True\n betas: (0.9, 0.999)\n capturable: False\n differentiable: False\n eps: 1e-08\n foreach: None\n fused: None\n initial_lr: 0.0005\n lr: 0.0005\n maximize: False\n weight_decay: 3e-05\n)", |
| "output_folder": "/home/lukas/UU/ASRA/ALADINv2/data/nnUNet_results/Dataset201_all_101/ClassificationTrainer__nnUNetWithClassificationPlans__1d_decoding/fold_2", |
| "output_folder_base": "/home/lukas/UU/ASRA/ALADINv2/data/nnUNet_results/Dataset201_all_101/ClassificationTrainer__nnUNetWithClassificationPlans__1d_decoding", |
| "oversample_foreground_percent": "0", |
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| "preprocessed_dataset_folder": "/home/lukas/UU/ASRA/ALADINv2/data/nnUNet_preprocessed/Dataset201_all_101/nnUNetWithClassificationPlans_1d", |
| "preprocessed_dataset_folder_base": "/home/lukas/UU/ASRA/ALADINv2/data/nnUNet_preprocessed/Dataset201_all_101", |
| "save_every": "50", |
| "torch_version": "2.5.1+cu124", |
| "unpack_dataset": "True", |
| "was_initialized": "True", |
| "weight_decay": "3e-05" |
| } |
