| { | |
| "all_tr_losses": "[]", | |
| "all_val_eval_metrics": "[]", | |
| "all_val_losses": "[]", | |
| "all_val_losses_tr_mode": "[]", | |
| "also_val_in_tr_mode": "False", | |
| "amp_grad_scaler": "None", | |
| "base_num_features": "32", | |
| "basic_generator_patch_size": "[205 205 205]", | |
| "batch_dice": "False", | |
| "batch_size": "2", | |
| "best_MA_tr_loss_for_patience": "None", | |
| "best_epoch_based_on_MA_tr_loss": "None", | |
| "best_val_eval_criterion_MA": "None", | |
| "classes": "[1, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 2, 20, 21, 22, 23, 24, 3, 4, 5, 6, 7, 8, 9]", | |
| "conv_per_stage": "2", | |
| "data_aug_params": "{'selected_data_channels': None, 'selected_seg_channels': [0], 'do_elastic': False, 'elastic_deform_alpha': (0.0, 900.0), 'elastic_deform_sigma': (9.0, 13.0), 'p_eldef': 0.2, 'do_scaling': True, 'scale_range': (0.7, 1.4), 'independent_scale_factor_for_each_axis': False, 'p_independent_scale_per_axis': 1, 'p_scale': 0.2, 'do_rotation': True, 'rotation_x': (-0.5235987755982988, 0.5235987755982988), 'rotation_y': (-0.5235987755982988, 0.5235987755982988), 'rotation_z': (-0.5235987755982988, 0.5235987755982988), 'rotation_p_per_axis': 1, 'p_rot': 0.2, 'random_crop': False, 'random_crop_dist_to_border': None, 'do_gamma': True, 'gamma_retain_stats': True, 'gamma_range': (0.7, 1.5), 'p_gamma': 0.3, 'do_mirror': False, 'mirror_axes': (0, 1, 2), 'dummy_2D': False, 'mask_was_used_for_normalization': OrderedDict([(0, False)]), 'border_mode_data': 'constant', 'all_segmentation_labels': None, 'move_last_seg_chanel_to_data': False, 'cascade_do_cascade_augmentations': False, 'cascade_random_binary_transform_p': 0.4, 'cascade_random_binary_transform_p_per_label': 1, 'cascade_random_binary_transform_size': (1, 8), 'cascade_remove_conn_comp_p': 0.2, 'cascade_remove_conn_comp_max_size_percent_threshold': 0.15, 'cascade_remove_conn_comp_fill_with_other_class_p': 0.0, 'do_additive_brightness': False, 'additive_brightness_p_per_sample': 0.15, 'additive_brightness_p_per_channel': 0.5, 'additive_brightness_mu': 0.0, 'additive_brightness_sigma': 0.1, 'num_threads': 12, 'num_cached_per_thread': 2, 'patch_size_for_spatialtransform': array([128, 128, 128])}", | |
| "dataset_directory": "/dataNAS/people/lblankem/nnunet_spine_data/nnUNet_preprocessed/Task001_Spine", | |
| "deep_supervision_scales": "[[1, 1, 1], [0.5, 0.5, 0.5], [0.25, 0.25, 0.25], [0.125, 0.125, 0.125], [0.0625, 0.0625, 0.0625]]", | |
| "deterministic": "False", | |
| "dl_tr": "<nnunet.training.dataloading.dataset_loading.DataLoader3D object at 0x7fbca38f3160>", | |
| "dl_val": "<nnunet.training.dataloading.dataset_loading.DataLoader3D object at 0x7fbca38f3190>", | |
| "do_dummy_2D_aug": "False", | |
| "ds_loss_weights": "[0.53333333 0.26666667 0.13333333 0.06666667 0. ]", | |
| "epoch": "0", | |
| "experiment_name": "nnUNetTrainerV2_ep4000_nomirror", | |
| "fold": "0", | |
| "folder_with_preprocessed_data": "/dataNAS/people/lblankem/nnunet_spine_data/nnUNet_preprocessed/Task001_Spine/nnUNetData_plans_v2.1_stage0", | |
| "fp16": "True", | |
| "gt_niftis_folder": "/dataNAS/people/lblankem/nnunet_spine_data/nnUNet_preprocessed/Task001_Spine/gt_segmentations", | |
| "inference_pad_border_mode": "constant", | |
| "inference_pad_kwargs": "{'constant_values': 0}", | |
| "init_args": "('/dataNAS/people/lblankem/nnunet_spine_data/nnUNet_preprocessed/Task001_Spine/nnUNetPlansv2.1_plans_3D.pkl', 0, '/dataNAS/people/lblankem/nnunet_spine_data/nnUNet_trained_models/nnUNet/3d_fullres/Task001_Spine/nnUNetTrainerV2_ep4000_nomirror__nnUNetPlansv2.1', '/dataNAS/people/lblankem/nnunet_spine_data/nnUNet_preprocessed/Task001_Spine', False, 0, True, False, True)", | |
| "initial_lr": "0.01", | |
| "log_file": "/dataNAS/people/lblankem/nnunet_spine_data/nnUNet_trained_models/nnUNet/3d_fullres/Task001_Spine/nnUNetTrainerV2_ep4000_nomirror__nnUNetPlansv2.1/fold_0/training_log_2023_3_3_14_55_08.txt", | |
| "lr_scheduler": "None", | |
| "lr_scheduler_eps": "0.001", | |
| "lr_scheduler_patience": "30", | |
| "lr_threshold": "1e-06", | |
| "max_num_epochs": "4000", | |
| "min_region_size_per_class": "None", | |
| "min_size_per_class": "None", | |
| "net_conv_kernel_sizes": "[[3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3]]", | |
| "net_num_pool_op_kernel_sizes": "[[2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2]]", | |
| "net_pool_per_axis": "[5, 5, 5]", | |
| "normalization_schemes": "OrderedDict([(0, 'CT')])", | |
| "num_batches_per_epoch": "250", | |
| "num_classes": "25", | |
| "num_input_channels": "1", | |
| "num_val_batches_per_epoch": "50", | |
| "online_eval_fn": "[]", | |
| "online_eval_foreground_dc": "[]", | |
| "online_eval_fp": "[]", | |
| "online_eval_tp": "[]", | |
| "only_keep_largest_connected_component": "None", | |
| "optimizer": "SGD (\nParameter Group 0\n dampening: 0\n differentiable: False\n foreach: None\n lr: 0.01\n maximize: False\n momentum: 0.99\n nesterov: True\n weight_decay: 3e-05\n)", | |
| "output_folder": "/dataNAS/people/lblankem/nnunet_spine_data/nnUNet_trained_models/nnUNet/3d_fullres/Task001_Spine/nnUNetTrainerV2_ep4000_nomirror__nnUNetPlansv2.1/fold_0", | |
| "output_folder_base": "/dataNAS/people/lblankem/nnunet_spine_data/nnUNet_trained_models/nnUNet/3d_fullres/Task001_Spine/nnUNetTrainerV2_ep4000_nomirror__nnUNetPlansv2.1", | |
| "oversample_foreground_percent": "0.33", | |
| "pad_all_sides": "None", | |
| "patch_size": "[128 128 128]", | |
| "patience": "50", | |
| "pin_memory": "True", | |
| "plans_file": "/dataNAS/people/lblankem/nnunet_spine_data/nnUNet_preprocessed/Task001_Spine/nnUNetPlansv2.1_plans_3D.pkl", | |
| "regions_class_order": "None", | |
| "save_best_checkpoint": "True", | |
| "save_every": "50", | |
| "save_final_checkpoint": "True", | |
| "save_intermediate_checkpoints": "True", | |
| "save_latest_only": "True", | |
| "stage": "0", | |
| "threeD": "True", | |
| "tr_gen": "<batchgenerators.dataloading.multi_threaded_augmenter.MultiThreadedAugmenter object at 0x7fbca39ec490>", | |
| "train_loss_MA": "None", | |
| "train_loss_MA_alpha": "0.93", | |
| "train_loss_MA_eps": "0.0005", | |
| "transpose_backward": "[0, 1, 2]", | |
| "transpose_forward": "[0, 1, 2]", | |
| "unpack_data": "True", | |
| "use_mask_for_norm": "OrderedDict([(0, False)])", | |
| "use_progress_bar": "False", | |
| "val_eval_criterion_MA": "None", | |
| "val_eval_criterion_alpha": "0.9", | |
| "val_gen": "<batchgenerators.dataloading.multi_threaded_augmenter.MultiThreadedAugmenter object at 0x7fbca39ec550>", | |
| "was_initialized": "True", | |
| "weight_decay": "3e-05" | |
| } |