diff --git a/.gitattributes b/.gitattributes
index 5bba2e84b1425e7074becb135247e0c6d812181f..89853b26b6a01baa2d3da17182f0348b43ea291b 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -38,3 +38,4 @@ nnUNet_Large/fold_0/nnUNet_results/Dataset001_CT/nnUNetTrainer__nnUNetResEncUNet
 MedNeXt_Base/fold_1/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/fold_1/progress.png filter=lfs diff=lfs merge=lfs -text
 nnUNet_Large/fold_1/nnUNet_results/Dataset001_CT/nnUNetTrainer__nnUNetResEncUNetLPlans__3d_fullres/fold_1/progress.png filter=lfs diff=lfs merge=lfs -text
 nnUNet_Large/fold_0_MRA/nnUNet_results/Dataset001_MRA/nnUNetTrainer__nnUNetResEncUNetLPlans__3d_fullres/fold_0/progress.png filter=lfs diff=lfs merge=lfs -text
+MedNeXt_Base/fold_0_MRA/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/fold_0/progress.png filter=lfs diff=lfs merge=lfs -text
diff --git a/MedNeXt_Base/fold_0_MRA/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/fold_0/debug.json b/MedNeXt_Base/fold_0_MRA/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/fold_0/debug.json
new file mode 100644
index 0000000000000000000000000000000000000000..db40d639bfedf2d52131f00789fc48217cd48a7d
--- /dev/null
+++ b/MedNeXt_Base/fold_0_MRA/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/fold_0/debug.json
@@ -0,0 +1,88 @@
+{
+    "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": "30",
+    "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, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36]",
+    "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': True, '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': 8, 'num_cached_per_thread': 2, 'patch_size_for_spatialtransform': array([128, 128, 128])}",
+    "dataset_directory": "/marimo/TopBrain2026/nnUNet_preprocessed/Task001_Brain2026",
+    "deep_supervision_scales": "[[1, 1, 1], [np.float64(0.5), np.float64(0.5), np.float64(0.5)], [np.float64(0.25), np.float64(0.25), np.float64(0.25)], [np.float64(0.125), np.float64(0.125), np.float64(0.125)], [np.float64(0.0625), np.float64(0.0625), np.float64(0.0625)], [np.float64(0.03125), np.float64(0.03125), np.float64(0.03125)]]",
+    "deterministic": "False",
+    "dl_tr": "<nnunet_mednext.training.dataloading.dataset_loading.DataLoader3D object at 0x7f45a6e45fd0>",
+    "dl_val": "<nnunet_mednext.training.dataloading.dataset_loading.DataLoader3D object at 0x7f45a6ed0f50>",
+    "do_dummy_2D_aug": "False",
+    "ds_loss_weights": "[0.51612903 0.25806452 0.12903226 0.06451613 0.03225806 0.        ]",
+    "epoch": "0",
+    "experiment_name": "nnUNetTrainerV2_MedNeXt_B_kernel3",
+    "fold": "0",
+    "folder_with_preprocessed_data": "/marimo/TopBrain2026/nnUNet_preprocessed/Task001_Brain2026/nnUNetData_plans_v2.1_trgSp_1x1x1_stage0",
+    "fp16": "True",
+    "gt_niftis_folder": "/marimo/TopBrain2026/nnUNet_preprocessed/Task001_Brain2026/gt_segmentations",
+    "inference_pad_border_mode": "constant",
+    "inference_pad_kwargs": "{'constant_values': 0}",
+    "init_args": "('/marimo/TopBrain2026/nnUNet_preprocessed/Task001_Brain2026/nnUNetPlansv2.1_trgSp_1x1x1_plans_3D.pkl', 0, '/marimo/TopBrain2026/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1', '/marimo/TopBrain2026/nnUNet_preprocessed/Task001_Brain2026', False, 0, True, False, True)",
+    "initial_lr": "0.001",
+    "log_file": "/marimo/TopBrain2026/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/fold_0/training_log_2026_10_18_08_44_25.txt",
+    "lr_scheduler": "None",
+    "lr_scheduler_eps": "0.001",
+    "lr_scheduler_patience": "30",
+    "lr_threshold": "1e-06",
+    "max_num_epochs": "1000",
+    "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], [2, 2, 2]]",
+    "net_pool_per_axis": "[4, 5, 5]",
+    "normalization_schemes": "OrderedDict({0: 'nonCT'})",
+    "num_batches_per_epoch": "250",
+    "num_classes": "37",
+    "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": "AdamW (\nParameter Group 0\n    amsgrad: False\n    betas: (0.9, 0.999)\n    capturable: False\n    decoupled_weight_decay: True\n    differentiable: False\n    eps: 0.0001\n    foreach: None\n    fused: None\n    lr: 0.001\n    maximize: False\n    weight_decay: 3e-05\n)",
+    "output_folder": "/marimo/TopBrain2026/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/fold_0",
+    "output_folder_base": "/marimo/TopBrain2026/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1",
+    "oversample_foreground_percent": "0.33",
+    "pad_all_sides": "None",
+    "patch_size": "[128 128 128]",
+    "patience": "50",
+    "pin_memory": "True",
+    "plans_file": "/marimo/TopBrain2026/nnUNet_preprocessed/Task001_Brain2026/nnUNetPlansv2.1_trgSp_1x1x1_plans_3D.pkl",
+    "regions_class_order": "None",
+    "sample_by_frequency": "False",
+    "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 0x7f45a6e47620>",
+    "train_loss_MA": "None",
+    "train_loss_MA_alpha": "0.93",
+    "train_loss_MA_eps": "0.0005",
+    "transpose_backward": "[np.int64(0), np.int64(1), np.int64(2)]",
+    "transpose_forward": "[np.int64(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 0x7f45a6ed1450>",
+    "was_initialized": "True",
+    "weight_decay": "3e-05"
+}
\ No newline at end of file
diff --git a/MedNeXt_Base/fold_0_MRA/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/fold_0/model_best.model b/MedNeXt_Base/fold_0_MRA/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/fold_0/model_best.model
new file mode 100644
index 0000000000000000000000000000000000000000..aa47e562bff87448b23187fb82be032bbb472aa3
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@@ -0,0 +1,3 @@
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+size 127061506
diff --git a/MedNeXt_Base/fold_0_MRA/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/fold_0/model_best.model.pkl b/MedNeXt_Base/fold_0_MRA/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/fold_0/model_best.model.pkl
new file mode 100644
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new file mode 100644
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new file mode 100644
index 0000000000000000000000000000000000000000..df0c4ab7de852c302854727d99849f1e8d57b3ba
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+++ b/MedNeXt_Base/fold_0_MRA/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/fold_0/model_latest.model.pkl
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diff --git a/MedNeXt_Base/fold_0_MRA/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/fold_0/training_log_2026_10_18_08_44_25.txt b/MedNeXt_Base/fold_0_MRA/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/fold_0/training_log_2026_10_18_08_44_25.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b900d83efc92df882b093ce3a109ecea287c4d78
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+++ b/MedNeXt_Base/fold_0_MRA/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/fold_0/training_log_2026_10_18_08_44_25.txt
@@ -0,0 +1,1785 @@
+Starting... 
+2026-10-18 08:44:25.514669: Creating new 5-fold cross-validation split... 
+2026-10-18 08:44:25.515613: Desired fold for training: 0 
+2026-10-18 08:44:25.515690: This split has 20 training and 5 validation cases. 
+2026-10-18 08:44:26.297636: TRAINING KEYS:
+ odict_keys([np.str_('topcow_mr_001'), np.str_('topcow_mr_002'), np.str_('topcow_mr_003'), np.str_('topcow_mr_004'), np.str_('topcow_mr_005'), np.str_('topcow_mr_006'), np.str_('topcow_mr_007'), np.str_('topcow_mr_008'), np.str_('topcow_mr_011'), np.str_('topcow_mr_012'), np.str_('topcow_mr_013'), np.str_('topcow_mr_014'), np.str_('topcow_mr_016'), np.str_('topcow_mr_017'), np.str_('topcow_mr_020'), np.str_('topcow_mr_021'), np.str_('topcow_mr_023'), np.str_('topcow_mr_025'), np.str_('topcow_mr_026'), np.str_('topcow_mr_027')]) 
+2026-10-18 08:44:26.297950: VALIDATION KEYS:
+ odict_keys([np.str_('topcow_mr_010'), np.str_('topcow_mr_015'), np.str_('topcow_mr_018'), np.str_('topcow_mr_022'), np.str_('topcow_mr_024')]) 
+2026-10-18 08:44:27.762745: lr: 0.001 
+2026-10-18 08:44:31.254025: Unable to plot network architecture: 
+2026-10-18 08:44:31.254263: No module named 'hiddenlayer' 
+2026-10-18 08:44:31.254363: 
+printing the network instead:
+ 
+2026-10-18 08:44:31.254417: MedNeXt(
+  (stem): Conv3d(1, 32, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+  (enc_block_0): Sequential(
+    (0): MedNeXtBlock(
+      (conv1): Conv3d(32, 32, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), groups=32)
+      (norm): GroupNorm(32, 32, eps=1e-05, affine=True)
+      (conv2): Conv3d(32, 64, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+      (act): GELU(approximate='none')
+      (conv3): Conv3d(64, 32, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    )
+    (1): MedNeXtBlock(
+      (conv1): Conv3d(32, 32, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), groups=32)
+      (norm): GroupNorm(32, 32, eps=1e-05, affine=True)
+      (conv2): Conv3d(32, 64, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+      (act): GELU(approximate='none')
+      (conv3): Conv3d(64, 32, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    )
+  )
+  (down_0): MedNeXtDownBlock(
+    (conv1): Conv3d(32, 32, kernel_size=(3, 3, 3), stride=(2, 2, 2), padding=(1, 1, 1), groups=32)
+    (norm): GroupNorm(32, 32, eps=1e-05, affine=True)
+    (conv2): Conv3d(32, 96, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    (act): GELU(approximate='none')
+    (conv3): Conv3d(96, 64, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    (res_conv): Conv3d(32, 64, kernel_size=(1, 1, 1), stride=(2, 2, 2))
+  )
+  (enc_block_1): Sequential(
+    (0): MedNeXtBlock(
+      (conv1): Conv3d(64, 64, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), groups=64)
+      (norm): GroupNorm(64, 64, eps=1e-05, affine=True)
+      (conv2): Conv3d(64, 192, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+      (act): GELU(approximate='none')
+      (conv3): Conv3d(192, 64, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    )
+    (1): MedNeXtBlock(
+      (conv1): Conv3d(64, 64, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), groups=64)
+      (norm): GroupNorm(64, 64, eps=1e-05, affine=True)
+      (conv2): Conv3d(64, 192, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+      (act): GELU(approximate='none')
+      (conv3): Conv3d(192, 64, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    )
+  )
+  (down_1): MedNeXtDownBlock(
+    (conv1): Conv3d(64, 64, kernel_size=(3, 3, 3), stride=(2, 2, 2), padding=(1, 1, 1), groups=64)
+    (norm): GroupNorm(64, 64, eps=1e-05, affine=True)
+    (conv2): Conv3d(64, 256, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    (act): GELU(approximate='none')
+    (conv3): Conv3d(256, 128, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    (res_conv): Conv3d(64, 128, kernel_size=(1, 1, 1), stride=(2, 2, 2))
+  )
+  (enc_block_2): Sequential(
+    (0): MedNeXtBlock(
+      (conv1): Conv3d(128, 128, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), groups=128)
+      (norm): GroupNorm(128, 128, eps=1e-05, affine=True)
+      (conv2): Conv3d(128, 512, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+      (act): GELU(approximate='none')
+      (conv3): Conv3d(512, 128, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    )
+    (1): MedNeXtBlock(
+      (conv1): Conv3d(128, 128, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), groups=128)
+      (norm): GroupNorm(128, 128, eps=1e-05, affine=True)
+      (conv2): Conv3d(128, 512, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+      (act): GELU(approximate='none')
+      (conv3): Conv3d(512, 128, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    )
+  )
+  (down_2): MedNeXtDownBlock(
+    (conv1): Conv3d(128, 128, kernel_size=(3, 3, 3), stride=(2, 2, 2), padding=(1, 1, 1), groups=128)
+    (norm): GroupNorm(128, 128, eps=1e-05, affine=True)
+    (conv2): Conv3d(128, 512, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    (act): GELU(approximate='none')
+    (conv3): Conv3d(512, 256, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    (res_conv): Conv3d(128, 256, kernel_size=(1, 1, 1), stride=(2, 2, 2))
+  )
+  (enc_block_3): Sequential(
+    (0): MedNeXtBlock(
+      (conv1): Conv3d(256, 256, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), groups=256)
+      (norm): GroupNorm(256, 256, eps=1e-05, affine=True)
+      (conv2): Conv3d(256, 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+      (act): GELU(approximate='none')
+      (conv3): Conv3d(1024, 256, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    )
+    (1): MedNeXtBlock(
+      (conv1): Conv3d(256, 256, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), groups=256)
+      (norm): GroupNorm(256, 256, eps=1e-05, affine=True)
+      (conv2): Conv3d(256, 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+      (act): GELU(approximate='none')
+      (conv3): Conv3d(1024, 256, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    )
+  )
+  (down_3): MedNeXtDownBlock(
+    (conv1): Conv3d(256, 256, kernel_size=(3, 3, 3), stride=(2, 2, 2), padding=(1, 1, 1), groups=256)
+    (norm): GroupNorm(256, 256, eps=1e-05, affine=True)
+    (conv2): Conv3d(256, 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    (act): GELU(approximate='none')
+    (conv3): Conv3d(1024, 512, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    (res_conv): Conv3d(256, 512, kernel_size=(1, 1, 1), stride=(2, 2, 2))
+  )
+  (bottleneck): Sequential(
+    (0): MedNeXtBlock(
+      (conv1): Conv3d(512, 512, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), groups=512)
+      (norm): GroupNorm(512, 512, eps=1e-05, affine=True)
+      (conv2): Conv3d(512, 2048, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+      (act): GELU(approximate='none')
+      (conv3): Conv3d(2048, 512, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    )
+    (1): MedNeXtBlock(
+      (conv1): Conv3d(512, 512, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), groups=512)
+      (norm): GroupNorm(512, 512, eps=1e-05, affine=True)
+      (conv2): Conv3d(512, 2048, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+      (act): GELU(approximate='none')
+      (conv3): Conv3d(2048, 512, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    )
+  )
+  (up_3): MedNeXtUpBlock(
+    (conv1): ConvTranspose3d(512, 512, kernel_size=(3, 3, 3), stride=(2, 2, 2), padding=(1, 1, 1), groups=512)
+    (norm): GroupNorm(512, 512, eps=1e-05, affine=True)
+    (conv2): Conv3d(512, 2048, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    (act): GELU(approximate='none')
+    (conv3): Conv3d(2048, 256, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    (res_conv): ConvTranspose3d(512, 256, kernel_size=(1, 1, 1), stride=(2, 2, 2))
+  )
+  (dec_block_3): Sequential(
+    (0): MedNeXtBlock(
+      (conv1): Conv3d(256, 256, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), groups=256)
+      (norm): GroupNorm(256, 256, eps=1e-05, affine=True)
+      (conv2): Conv3d(256, 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+      (act): GELU(approximate='none')
+      (conv3): Conv3d(1024, 256, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    )
+    (1): MedNeXtBlock(
+      (conv1): Conv3d(256, 256, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), groups=256)
+      (norm): GroupNorm(256, 256, eps=1e-05, affine=True)
+      (conv2): Conv3d(256, 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+      (act): GELU(approximate='none')
+      (conv3): Conv3d(1024, 256, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    )
+  )
+  (up_2): MedNeXtUpBlock(
+    (conv1): ConvTranspose3d(256, 256, kernel_size=(3, 3, 3), stride=(2, 2, 2), padding=(1, 1, 1), groups=256)
+    (norm): GroupNorm(256, 256, eps=1e-05, affine=True)
+    (conv2): Conv3d(256, 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    (act): GELU(approximate='none')
+    (conv3): Conv3d(1024, 128, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    (res_conv): ConvTranspose3d(256, 128, kernel_size=(1, 1, 1), stride=(2, 2, 2))
+  )
+  (dec_block_2): Sequential(
+    (0): MedNeXtBlock(
+      (conv1): Conv3d(128, 128, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), groups=128)
+      (norm): GroupNorm(128, 128, eps=1e-05, affine=True)
+      (conv2): Conv3d(128, 512, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+      (act): GELU(approximate='none')
+      (conv3): Conv3d(512, 128, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    )
+    (1): MedNeXtBlock(
+      (conv1): Conv3d(128, 128, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), groups=128)
+      (norm): GroupNorm(128, 128, eps=1e-05, affine=True)
+      (conv2): Conv3d(128, 512, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+      (act): GELU(approximate='none')
+      (conv3): Conv3d(512, 128, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    )
+  )
+  (up_1): MedNeXtUpBlock(
+    (conv1): ConvTranspose3d(128, 128, kernel_size=(3, 3, 3), stride=(2, 2, 2), padding=(1, 1, 1), groups=128)
+    (norm): GroupNorm(128, 128, eps=1e-05, affine=True)
+    (conv2): Conv3d(128, 384, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    (act): GELU(approximate='none')
+    (conv3): Conv3d(384, 64, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    (res_conv): ConvTranspose3d(128, 64, kernel_size=(1, 1, 1), stride=(2, 2, 2))
+  )
+  (dec_block_1): Sequential(
+    (0): MedNeXtBlock(
+      (conv1): Conv3d(64, 64, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), groups=64)
+      (norm): GroupNorm(64, 64, eps=1e-05, affine=True)
+      (conv2): Conv3d(64, 192, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+      (act): GELU(approximate='none')
+      (conv3): Conv3d(192, 64, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    )
+    (1): MedNeXtBlock(
+      (conv1): Conv3d(64, 64, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), groups=64)
+      (norm): GroupNorm(64, 64, eps=1e-05, affine=True)
+      (conv2): Conv3d(64, 192, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+      (act): GELU(approximate='none')
+      (conv3): Conv3d(192, 64, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    )
+  )
+  (up_0): MedNeXtUpBlock(
+    (conv1): ConvTranspose3d(64, 64, kernel_size=(3, 3, 3), stride=(2, 2, 2), padding=(1, 1, 1), groups=64)
+    (norm): GroupNorm(64, 64, eps=1e-05, affine=True)
+    (conv2): Conv3d(64, 128, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    (act): GELU(approximate='none')
+    (conv3): Conv3d(128, 32, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    (res_conv): ConvTranspose3d(64, 32, kernel_size=(1, 1, 1), stride=(2, 2, 2))
+  )
+  (dec_block_0): Sequential(
+    (0): MedNeXtBlock(
+      (conv1): Conv3d(32, 32, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), groups=32)
+      (norm): GroupNorm(32, 32, eps=1e-05, affine=True)
+      (conv2): Conv3d(32, 64, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+      (act): GELU(approximate='none')
+      (conv3): Conv3d(64, 32, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    )
+    (1): MedNeXtBlock(
+      (conv1): Conv3d(32, 32, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), groups=32)
+      (norm): GroupNorm(32, 32, eps=1e-05, affine=True)
+      (conv2): Conv3d(32, 64, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+      (act): GELU(approximate='none')
+      (conv3): Conv3d(64, 32, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+    )
+  )
+  (out_0): OutBlock(
+    (conv_out): ConvTranspose3d(32, 37, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+  )
+  (out_1): OutBlock(
+    (conv_out): ConvTranspose3d(64, 37, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+  )
+  (out_2): OutBlock(
+    (conv_out): ConvTranspose3d(128, 37, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+  )
+  (out_3): OutBlock(
+    (conv_out): ConvTranspose3d(256, 37, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+  )
+  (out_4): OutBlock(
+    (conv_out): ConvTranspose3d(512, 37, kernel_size=(1, 1, 1), stride=(1, 1, 1))
+  )
+) 
+2026-10-18 08:44:31.264706: 
+ 
+2026-10-18 08:44:31.266471: 
+epoch:  0 
+2026-10-18 08:48:57.245059: train loss : -0.0114 
+2026-10-18 08:49:02.659367: validation loss: -0.1389 
+2026-10-18 08:49:02.660342: Average global foreground Dice: [np.float32(0.2903), np.float32(0.0157), np.float32(0.0901), np.float32(0.0278), np.float32(0.0046), np.float32(0.0305), np.float32(0.0385), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0366), np.float32(0.0389), np.float32(0.0014), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0006), np.float32(0.0), np.float32(0.0913), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0533), np.float32(0.0806), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.2259), np.float32(0.4903)] 
+2026-10-18 08:49:02.660669: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 08:49:03.035341: lr: 0.000999 
+2026-10-18 08:49:03.035649: This epoch took 271.768683 s
+ 
+2026-10-18 08:49:03.035720: 
+epoch:  1 
+2026-10-18 08:53:18.079484: train loss : -0.1619 
+2026-10-18 08:53:23.410550: validation loss: -0.1886 
+2026-10-18 08:53:23.411704: Average global foreground Dice: [np.float32(0.5449), np.float32(0.0432), np.float32(0.2408), np.float32(0.2762), np.float32(0.1597), np.float32(0.1939), np.float32(0.3109), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.14), np.float32(0.2055), np.float32(0.153), np.float32(0.0859), np.float32(0.0), np.float32(0.0), np.float32(0.1806), np.float32(0.0035), np.float32(0.3033), np.float32(0.0091), np.float32(0.0), np.float32(0.0), np.float32(0.0866), np.float32(0.2842), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.3791), np.float32(0.2192)] 
+2026-10-18 08:53:23.412101: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 08:53:23.749814: lr: 0.000998 
+2026-10-18 08:53:23.811609: saving checkpoint... 
+2026-10-18 08:53:23.955919: done, saving took 0.21 seconds 
+2026-10-18 08:53:23.959013: This epoch took 260.923236 s
+ 
+2026-10-18 08:53:23.959116: 
+epoch:  2 
+2026-10-18 08:57:22.290010: train loss : -0.2446 
+2026-10-18 08:57:27.634134: validation loss: -0.2753 
+2026-10-18 08:57:27.635063: Average global foreground Dice: [np.float32(0.2096), np.float32(0.2279), np.float32(0.5257), np.float32(0.5028), np.float32(0.478), np.float32(0.142), np.float32(0.5726), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.1894), np.float32(0.3474), np.float32(0.3321), np.float32(0.2137), np.float32(0.0), np.float32(0.0), np.float32(0.4117), np.float32(0.1648), np.float32(0.4083), np.float32(0.2919), np.float32(0.0), np.float32(0.0446), np.float32(0.2989), np.float32(0.3777), np.float32(0.0532), np.float32(0.2425), np.float32(0.0), np.float32(0.0013), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.4487), np.float32(0.1759)] 
+2026-10-18 08:57:27.635489: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 08:57:27.942356: lr: 0.000997 
+2026-10-18 08:57:28.028949: saving checkpoint... 
+2026-10-18 08:57:28.167590: done, saving took 0.22 seconds 
+2026-10-18 08:57:28.168973: This epoch took 244.209798 s
+ 
+2026-10-18 08:57:28.169184: 
+epoch:  3 
+2026-10-18 09:01:21.969335: train loss : -0.3540 
+2026-10-18 09:01:27.315081: validation loss: -0.4298 
+2026-10-18 09:01:27.315976: Average global foreground Dice: [np.float32(0.7786), np.float32(0.366), np.float32(0.5862), np.float32(0.6343), np.float32(0.6384), np.float32(0.8156), np.float32(0.6726), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.4983), np.float32(0.5156), np.float32(0.3941), np.float32(0.1708), np.float32(0.0), np.float32(0.0), np.float32(0.6698), np.float32(0.3791), np.float32(0.6601), np.float32(0.4775), np.float32(0.0872), np.float32(0.0747), np.float32(0.1144), np.float32(0.5086), np.float32(0.2078), np.float32(0.4706), np.float32(0.0), np.float32(0.1585), np.float32(0.3751), np.float32(0.0705), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.5338), np.float32(0.748)] 
+2026-10-18 09:01:27.316155: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 09:01:27.582330: lr: 0.000996 
+2026-10-18 09:01:27.622227: saving checkpoint... 
+2026-10-18 09:01:27.752923: done, saving took 0.17 seconds 
+2026-10-18 09:01:27.754095: This epoch took 239.584813 s
+ 
+2026-10-18 09:01:27.754273: 
+epoch:  4 
+2026-10-18 09:05:15.234832: train loss : -0.4783 
+2026-10-18 09:05:20.557125: validation loss: -0.5405 
+2026-10-18 09:05:20.558018: Average global foreground Dice: [np.float32(0.8281), np.float32(0.6947), np.float32(0.8408), np.float32(0.688), np.float32(0.6026), np.float32(0.8662), np.float32(0.8011), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.634), np.float32(0.6098), np.float32(0.4803), np.float32(0.3359), np.float32(0.0), np.float32(0.0), np.float32(0.7399), np.float32(0.4261), np.float32(0.7164), np.float32(0.5354), np.float32(0.419), np.float32(0.5177), np.float32(0.6352), np.float32(0.6208), np.float32(0.5807), np.float32(0.6262), np.float32(0.1558), np.float32(0.3444), np.float32(0.5175), np.float32(0.5328), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.824), np.float32(0.913)] 
+2026-10-18 09:05:20.558181: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 09:05:20.831830: lr: 0.000995 
+2026-10-18 09:05:20.867863: saving checkpoint... 
+2026-10-18 09:05:21.000608: done, saving took 0.17 seconds 
+2026-10-18 09:05:21.002059: This epoch took 233.247714 s
+ 
+2026-10-18 09:05:21.002235: 
+epoch:  5 
+2026-10-18 09:09:30.510516: train loss : -0.5163 
+2026-10-18 09:09:35.843568: validation loss: -0.5477 
+2026-10-18 09:09:35.844507: Average global foreground Dice: [np.float32(0.8844), np.float32(0.6191), np.float32(0.8004), np.float32(0.7908), np.float32(0.6886), np.float32(0.8832), np.float32(0.765), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.662), np.float32(0.7189), np.float32(0.4874), np.float32(0.3479), np.float32(0.0), np.float32(0.0), np.float32(0.7348), np.float32(0.4114), np.float32(0.7585), np.float32(0.5555), np.float32(0.4223), np.float32(0.6229), np.float32(0.635), np.float32(0.6483), np.float32(0.5018), np.float32(0.6034), np.float32(0.1151), np.float32(0.34), np.float32(0.4629), np.float32(0.5826), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.8846), np.float32(0.938)] 
+2026-10-18 09:09:35.844669: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 09:09:36.101047: lr: 0.000995 
+2026-10-18 09:09:36.151704: saving checkpoint... 
+2026-10-18 09:09:36.292154: done, saving took 0.19 seconds 
+2026-10-18 09:09:36.293365: This epoch took 255.291058 s
+ 
+2026-10-18 09:09:36.293744: 
+epoch:  6 
+2026-10-18 09:13:47.254731: train loss : -0.5513 
+2026-10-18 09:13:52.595911: validation loss: -0.5813 
+2026-10-18 09:13:52.596941: Average global foreground Dice: [np.float32(0.8999), np.float32(0.5648), np.float32(0.7659), np.float32(0.8099), np.float32(0.7415), np.float32(0.8881), np.float32(0.7854), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.6516), np.float32(0.6847), np.float32(0.5889), np.float32(0.2989), np.float32(0.0), np.float32(0.0), np.float32(0.7621), np.float32(0.5016), np.float32(0.7826), np.float32(0.6128), np.float32(0.5144), np.float32(0.697), np.float32(0.7974), np.float32(0.7616), np.float32(0.5595), np.float32(0.645), np.float32(0.1992), np.float32(0.7775), np.float32(0.5465), np.float32(0.6847), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9062), np.float32(0.9494)] 
+2026-10-18 09:13:52.597430: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 09:13:52.869038: lr: 0.000994 
+2026-10-18 09:13:52.931766: saving checkpoint... 
+2026-10-18 09:13:53.071691: done, saving took 0.20 seconds 
+2026-10-18 09:13:53.073257: This epoch took 256.779360 s
+ 
+2026-10-18 09:13:53.073454: 
+epoch:  7 
+2026-10-18 09:18:00.487327: train loss : -0.5760 
+2026-10-18 09:18:05.839465: validation loss: -0.5537 
+2026-10-18 09:18:05.840863: Average global foreground Dice: [np.float32(0.8862), np.float32(0.6181), np.float32(0.7515), np.float32(0.6677), np.float32(0.5781), np.float32(0.8119), np.float32(0.7117), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.6566), np.float32(0.7155), np.float32(0.5209), np.float32(0.4708), np.float32(0.0), np.float32(0.0), np.float32(0.6233), np.float32(0.2859), np.float32(0.6937), np.float32(0.5532), np.float32(0.5246), np.float32(0.5845), np.float32(0.6972), np.float32(0.6364), np.float32(0.5146), np.float32(0.6064), np.float32(0.1756), np.float32(0.6563), np.float32(0.5467), np.float32(0.6741), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7389), np.float32(0.804)] 
+2026-10-18 09:18:05.841222: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 09:18:06.125588: lr: 0.000993 
+2026-10-18 09:18:06.149066: saving checkpoint... 
+2026-10-18 09:18:06.424881: done, saving took 0.30 seconds 
+2026-10-18 09:18:06.426371: This epoch took 253.352829 s
+ 
+2026-10-18 09:18:06.426504: 
+epoch:  8 
+2026-10-18 09:21:39.614291: train loss : -0.6006 
+2026-10-18 09:21:44.953943: validation loss: -0.6065 
+2026-10-18 09:21:44.954987: Average global foreground Dice: [np.float32(0.9117), np.float32(0.6602), np.float32(0.8022), np.float32(0.8496), np.float32(0.788), np.float32(0.8949), np.float32(0.8251), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7603), np.float32(0.7479), np.float32(0.575), np.float32(0.504), np.float32(0.0), np.float32(0.0), np.float32(0.7811), np.float32(0.5334), np.float32(0.8005), np.float32(0.6348), np.float32(0.5501), np.float32(0.7084), np.float32(0.8336), np.float32(0.8), np.float32(0.5298), np.float32(0.5747), np.float32(0.2645), np.float32(0.6742), np.float32(0.6245), np.float32(0.6533), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9242), np.float32(0.9519)] 
+2026-10-18 09:21:44.955189: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 09:21:45.231401: lr: 0.000992 
+2026-10-18 09:21:45.239869: saving checkpoint... 
+2026-10-18 09:21:45.364846: done, saving took 0.13 seconds 
+2026-10-18 09:21:45.365958: This epoch took 218.939390 s
+ 
+2026-10-18 09:21:45.366125: 
+epoch:  9 
+2026-10-18 09:25:21.114218: train loss : -0.6082 
+2026-10-18 09:25:26.451775: validation loss: -0.5958 
+2026-10-18 09:25:26.452701: Average global foreground Dice: [np.float32(0.9167), np.float32(0.6452), np.float32(0.8038), np.float32(0.7992), np.float32(0.7682), np.float32(0.8925), np.float32(0.8164), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.6958), np.float32(0.74), np.float32(0.6114), np.float32(0.2097), np.float32(0.0), np.float32(0.0), np.float32(0.7719), np.float32(0.5044), np.float32(0.8055), np.float32(0.5979), np.float32(0.4679), np.float32(0.6706), np.float32(0.6319), np.float32(0.7123), np.float32(0.565), np.float32(0.6475), np.float32(0.3365), np.float32(0.7469), np.float32(0.6283), np.float32(0.7339), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.8889), np.float32(0.9479)] 
+2026-10-18 09:25:26.452862: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 09:25:26.718023: lr: 0.000991 
+2026-10-18 09:25:26.738923: saving checkpoint... 
+2026-10-18 09:25:26.864982: done, saving took 0.15 seconds 
+2026-10-18 09:25:26.867090: This epoch took 221.500894 s
+ 
+2026-10-18 09:25:26.867241: 
+epoch:  10 
+2026-10-18 09:29:40.045209: train loss : -0.6023 
+2026-10-18 09:29:45.392443: validation loss: -0.5898 
+2026-10-18 09:29:45.393410: Average global foreground Dice: [np.float32(0.9008), np.float32(0.6499), np.float32(0.7814), np.float32(0.8183), np.float32(0.7548), np.float32(0.8929), np.float32(0.8115), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7399), np.float32(0.7405), np.float32(0.5347), np.float32(0.384), np.float32(0.0), np.float32(0.0), np.float32(0.7291), np.float32(0.5282), np.float32(0.7449), np.float32(0.6192), np.float32(0.518), np.float32(0.6855), np.float32(0.6796), np.float32(0.7333), np.float32(0.6214), np.float32(0.608), np.float32(0.3057), np.float32(0.7805), np.float32(0.4976), np.float32(0.7104), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9101), np.float32(0.9502)] 
+2026-10-18 09:29:45.393669: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 09:29:45.683518: lr: 0.00099 
+2026-10-18 09:29:45.691813: saving checkpoint... 
+2026-10-18 09:29:45.816990: done, saving took 0.13 seconds 
+2026-10-18 09:29:45.818417: This epoch took 258.951103 s
+ 
+2026-10-18 09:29:45.818541: 
+epoch:  11 
+2026-10-18 09:33:42.370502: train loss : -0.5960 
+2026-10-18 09:33:47.695079: validation loss: -0.5894 
+2026-10-18 09:33:47.695971: Average global foreground Dice: [np.float32(0.9008), np.float32(0.661), np.float32(0.7962), np.float32(0.7184), np.float32(0.7217), np.float32(0.8936), np.float32(0.8178), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.668), np.float32(0.7823), np.float32(0.5166), np.float32(0.5184), np.float32(0.0), np.float32(0.0), np.float32(0.7495), np.float32(0.5309), np.float32(0.7559), np.float32(0.5369), np.float32(0.6434), np.float32(0.719), np.float32(0.7909), np.float32(0.6837), np.float32(0.5437), np.float32(0.6313), np.float32(0.2402), np.float32(0.7278), np.float32(0.5802), np.float32(0.6429), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.8867), np.float32(0.9533)] 
+2026-10-18 09:33:47.696112: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 09:33:47.981520: lr: 0.000989 
+2026-10-18 09:33:47.989362: saving checkpoint... 
+2026-10-18 09:33:48.127192: done, saving took 0.15 seconds 
+2026-10-18 09:33:48.128633: This epoch took 242.310035 s
+ 
+2026-10-18 09:33:48.128832: 
+epoch:  12 
+2026-10-18 09:37:43.155124: train loss : -0.6135 
+2026-10-18 09:37:48.503930: validation loss: -0.6243 
+2026-10-18 09:37:48.504852: Average global foreground Dice: [np.float32(0.8742), np.float32(0.7453), np.float32(0.8342), np.float32(0.8378), np.float32(0.7336), np.float32(0.9034), np.float32(0.8376), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.6928), np.float32(0.7488), np.float32(0.5924), np.float32(0.3708), np.float32(0.0), np.float32(0.0), np.float32(0.8019), np.float32(0.5864), np.float32(0.809), np.float32(0.6707), np.float32(0.6207), np.float32(0.7397), np.float32(0.85), np.float32(0.8208), np.float32(0.64), np.float32(0.6502), np.float32(0.3547), np.float32(0.7578), np.float32(0.6331), np.float32(0.6321), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9141), np.float32(0.9549)] 
+2026-10-18 09:37:48.505013: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 09:37:48.776122: lr: 0.000988 
+2026-10-18 09:37:48.784036: saving checkpoint... 
+2026-10-18 09:37:48.904319: done, saving took 0.13 seconds 
+2026-10-18 09:37:48.905776: This epoch took 240.776865 s
+ 
+2026-10-18 09:37:48.905992: 
+epoch:  13 
+2026-10-18 09:41:33.724914: train loss : -0.6275 
+2026-10-18 09:41:39.084081: validation loss: -0.6002 
+2026-10-18 09:41:39.085212: Average global foreground Dice: [np.float32(0.8927), np.float32(0.6906), np.float32(0.8368), np.float32(0.786), np.float32(0.6511), np.float32(0.8817), np.float32(0.7683), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.6856), np.float32(0.7029), np.float32(0.5971), np.float32(0.4581), np.float32(0.0), np.float32(0.0), np.float32(0.7926), np.float32(0.5524), np.float32(0.8044), np.float32(0.6386), np.float32(0.4447), np.float32(0.746), np.float32(0.8167), np.float32(0.7868), np.float32(0.6363), np.float32(0.6852), np.float32(0.3003), np.float32(0.817), np.float32(0.5468), np.float32(0.733), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.8853), np.float32(0.9457)] 
+2026-10-18 09:41:39.085593: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 09:41:39.356626: lr: 0.000987 
+2026-10-18 09:41:39.365268: saving checkpoint... 
+2026-10-18 09:41:39.494910: done, saving took 0.14 seconds 
+2026-10-18 09:41:39.496407: This epoch took 230.590330 s
+ 
+2026-10-18 09:41:39.496644: 
+epoch:  14 
+2026-10-18 09:45:37.227098: train loss : -0.6180 
+2026-10-18 09:45:42.560771: validation loss: -0.6002 
+2026-10-18 09:45:42.561954: Average global foreground Dice: [np.float32(0.931), np.float32(0.6655), np.float32(0.8542), np.float32(0.8064), np.float32(0.6354), np.float32(0.899), np.float32(0.7671), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7713), np.float32(0.7841), np.float32(0.5796), np.float32(0.5165), np.float32(0.0), np.float32(0.0), np.float32(0.7338), np.float32(0.6024), np.float32(0.762), np.float32(0.6688), np.float32(0.4764), np.float32(0.7017), np.float32(0.7515), np.float32(0.7765), np.float32(0.5345), np.float32(0.6354), np.float32(0.2498), np.float32(0.6103), np.float32(0.5869), np.float32(0.698), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7787), np.float32(0.8971)] 
+2026-10-18 09:45:42.562493: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 09:45:42.839765: lr: 0.000986 
+2026-10-18 09:45:42.880412: saving checkpoint... 
+2026-10-18 09:45:43.016065: done, saving took 0.18 seconds 
+2026-10-18 09:45:43.017147: This epoch took 243.520411 s
+ 
+2026-10-18 09:45:43.017349: 
+epoch:  15 
+2026-10-18 09:49:46.589656: train loss : -0.6346 
+2026-10-18 09:49:51.954888: validation loss: -0.6402 
+2026-10-18 09:49:51.955935: Average global foreground Dice: [np.float32(0.9295), np.float32(0.7372), np.float32(0.8608), np.float32(0.8492), np.float32(0.7547), np.float32(0.8991), np.float32(0.8228), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7437), np.float32(0.8028), np.float32(0.5962), np.float32(0.4591), np.float32(0.0), np.float32(0.0), np.float32(0.8219), np.float32(0.5754), np.float32(0.8169), np.float32(0.6768), np.float32(0.605), np.float32(0.7217), np.float32(0.8842), np.float32(0.8635), np.float32(0.646), np.float32(0.6487), np.float32(0.4018), np.float32(0.7653), np.float32(0.6407), np.float32(0.7345), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9256), np.float32(0.9495)] 
+2026-10-18 09:49:51.956352: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 09:49:52.238880: lr: 0.000986 
+2026-10-18 09:49:52.246603: saving checkpoint... 
+2026-10-18 09:49:52.371937: done, saving took 0.13 seconds 
+2026-10-18 09:49:52.373465: This epoch took 249.356025 s
+ 
+2026-10-18 09:49:52.373606: 
+epoch:  16 
+2026-10-18 09:53:31.148800: train loss : -0.6347 
+2026-10-18 09:53:36.496281: validation loss: -0.6450 
+2026-10-18 09:53:36.497247: Average global foreground Dice: [np.float32(0.9282), np.float32(0.7353), np.float32(0.8631), np.float32(0.8672), np.float32(0.8176), np.float32(0.9167), np.float32(0.8283), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.732), np.float32(0.7791), np.float32(0.5803), np.float32(0.4902), np.float32(0.0), np.float32(0.0), np.float32(0.8237), np.float32(0.6333), np.float32(0.8218), np.float32(0.6973), np.float32(0.6462), np.float32(0.7232), np.float32(0.9029), np.float32(0.9003), np.float32(0.6657), np.float32(0.6829), np.float32(0.3701), np.float32(0.7452), np.float32(0.6026), np.float32(0.7213), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9282), np.float32(0.9603)] 
+2026-10-18 09:53:36.497630: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 09:53:36.768893: lr: 0.000985 
+2026-10-18 09:53:36.776992: saving checkpoint... 
+2026-10-18 09:53:36.897543: done, saving took 0.13 seconds 
+2026-10-18 09:53:36.899137: This epoch took 224.525464 s
+ 
+2026-10-18 09:53:36.899402: 
+epoch:  17 
+2026-10-18 09:57:23.625599: train loss : -0.6267 
+2026-10-18 09:57:28.967766: validation loss: -0.5998 
+2026-10-18 09:57:28.968784: Average global foreground Dice: [np.float32(0.9247), np.float32(0.6602), np.float32(0.8191), np.float32(0.8117), np.float32(0.6501), np.float32(0.8672), np.float32(0.8117), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.6182), np.float32(0.6131), np.float32(0.5552), np.float32(0.3482), np.float32(0.0), np.float32(0.0), np.float32(0.7767), np.float32(0.5652), np.float32(0.7935), np.float32(0.6411), np.float32(0.4763), np.float32(0.753), np.float32(0.8302), np.float32(0.8466), np.float32(0.5663), np.float32(0.5868), np.float32(0.3179), np.float32(0.7492), np.float32(0.5886), np.float32(0.6602), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9275), np.float32(0.9539)] 
+2026-10-18 09:57:28.969234: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 09:57:29.270725: lr: 0.000984 
+2026-10-18 09:57:29.306916: saving checkpoint... 
+2026-10-18 09:57:29.446167: done, saving took 0.18 seconds 
+2026-10-18 09:57:29.447775: This epoch took 232.548290 s
+ 
+2026-10-18 09:57:29.448109: 
+epoch:  18 
+2026-10-18 10:01:13.929406: train loss : -0.6300 
+2026-10-18 10:01:19.268764: validation loss: -0.6444 
+2026-10-18 10:01:19.269659: Average global foreground Dice: [np.float32(0.9375), np.float32(0.6792), np.float32(0.8604), np.float32(0.856), np.float32(0.8083), np.float32(0.9097), np.float32(0.8407), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7685), np.float32(0.7691), np.float32(0.5728), np.float32(0.5226), np.float32(0.0), np.float32(0.0), np.float32(0.8289), np.float32(0.6715), np.float32(0.8394), np.float32(0.7005), np.float32(0.5344), np.float32(0.7232), np.float32(0.9077), np.float32(0.9048), np.float32(0.6449), np.float32(0.6998), np.float32(0.3601), np.float32(0.7984), np.float32(0.7175), np.float32(0.7693), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9318), np.float32(0.9585)] 
+2026-10-18 10:01:19.269888: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 10:01:19.551575: lr: 0.000983 
+2026-10-18 10:01:19.560851: saving checkpoint... 
+2026-10-18 10:01:19.684423: done, saving took 0.13 seconds 
+2026-10-18 10:01:19.686559: This epoch took 230.238234 s
+ 
+2026-10-18 10:01:19.686728: 
+epoch:  19 
+2026-10-18 10:05:23.175500: train loss : -0.6417 
+2026-10-18 10:05:28.504260: validation loss: -0.6489 
+2026-10-18 10:05:28.505174: Average global foreground Dice: [np.float32(0.8991), np.float32(0.7287), np.float32(0.8568), np.float32(0.8468), np.float32(0.7869), np.float32(0.9155), np.float32(0.8274), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7494), np.float32(0.7863), np.float32(0.6463), np.float32(0.5614), np.float32(0.0), np.float32(0.0), np.float32(0.797), np.float32(0.6046), np.float32(0.8237), np.float32(0.7094), np.float32(0.5444), np.float32(0.7407), np.float32(0.8603), np.float32(0.8297), np.float32(0.7103), np.float32(0.671), np.float32(0.3624), np.float32(0.7862), np.float32(0.6273), np.float32(0.7482), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9243), np.float32(0.9627)] 
+2026-10-18 10:05:28.505323: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 10:05:28.771154: lr: 0.000982 
+2026-10-18 10:05:28.779054: saving checkpoint... 
+2026-10-18 10:05:28.903960: done, saving took 0.13 seconds 
+2026-10-18 10:05:28.905591: This epoch took 249.218708 s
+ 
+2026-10-18 10:05:28.905891: 
+epoch:  20 
+2026-10-18 10:09:35.567498: train loss : -0.6558 
+2026-10-18 10:09:40.922831: validation loss: -0.6448 
+2026-10-18 10:09:40.924114: Average global foreground Dice: [np.float32(0.9061), np.float32(0.7284), np.float32(0.8549), np.float32(0.8857), np.float32(0.8247), np.float32(0.9115), np.float32(0.8343), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7634), np.float32(0.738), np.float32(0.5646), np.float32(0.4807), np.float32(0.0), np.float32(0.0), np.float32(0.8268), np.float32(0.6304), np.float32(0.8341), np.float32(0.731), np.float32(0.5004), np.float32(0.7816), np.float32(0.8865), np.float32(0.8902), np.float32(0.7228), np.float32(0.6613), np.float32(0.363), np.float32(0.7862), np.float32(0.5378), np.float32(0.7457), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9344), np.float32(0.9484)] 
+2026-10-18 10:09:40.924535: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 10:09:41.210520: lr: 0.000981 
+2026-10-18 10:09:41.260096: saving checkpoint... 
+2026-10-18 10:09:41.403594: done, saving took 0.19 seconds 
+2026-10-18 10:09:41.404644: This epoch took 252.498600 s
+ 
+2026-10-18 10:09:41.404811: 
+epoch:  21 
+2026-10-18 10:13:22.505474: train loss : -0.6543 
+2026-10-18 10:13:27.847083: validation loss: -0.6379 
+2026-10-18 10:13:27.848543: Average global foreground Dice: [np.float32(0.9045), np.float32(0.7138), np.float32(0.8642), np.float32(0.8855), np.float32(0.8195), np.float32(0.9148), np.float32(0.8431), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7555), np.float32(0.778), np.float32(0.5817), np.float32(0.4423), np.float32(0.0), np.float32(0.0), np.float32(0.825), np.float32(0.6143), np.float32(0.8181), np.float32(0.698), np.float32(0.4612), np.float32(0.7126), np.float32(0.8535), np.float32(0.8745), np.float32(0.6916), np.float32(0.6567), np.float32(0.2281), np.float32(0.7861), np.float32(0.5784), np.float32(0.7358), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9469), np.float32(0.9633)] 
+2026-10-18 10:13:27.848751: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 10:13:28.151664: lr: 0.00098 
+2026-10-18 10:13:28.160493: saving checkpoint... 
+2026-10-18 10:13:28.287215: done, saving took 0.14 seconds 
+2026-10-18 10:13:28.288661: This epoch took 226.883776 s
+ 
+2026-10-18 10:13:28.288862: 
+epoch:  22 
+2026-10-18 10:17:00.278053: train loss : -0.6495 
+2026-10-18 10:17:05.631586: validation loss: -0.6434 
+2026-10-18 10:17:05.632736: Average global foreground Dice: [np.float32(0.9365), np.float32(0.6803), np.float32(0.8797), np.float32(0.8845), np.float32(0.8271), np.float32(0.9266), np.float32(0.8437), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.785), np.float32(0.7784), np.float32(0.6315), np.float32(0.503), np.float32(0.0), np.float32(0.0), np.float32(0.8223), np.float32(0.6598), np.float32(0.8211), np.float32(0.7111), np.float32(0.4788), np.float32(0.7567), np.float32(0.9197), np.float32(0.8885), np.float32(0.6614), np.float32(0.7125), np.float32(0.3783), np.float32(0.8134), np.float32(0.5092), np.float32(0.7191), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9416), np.float32(0.9625)] 
+2026-10-18 10:17:05.633229: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 10:17:05.951448: lr: 0.000979 
+2026-10-18 10:17:05.959414: saving checkpoint... 
+2026-10-18 10:17:06.093456: done, saving took 0.14 seconds 
+2026-10-18 10:17:06.094992: This epoch took 217.806035 s
+ 
+2026-10-18 10:17:06.095205: 
+epoch:  23 
+2026-10-18 10:20:51.619380: train loss : -0.6583 
+2026-10-18 10:20:56.950977: validation loss: -0.6448 
+2026-10-18 10:20:56.952020: Average global foreground Dice: [np.float32(0.8892), np.float32(0.684), np.float32(0.8168), np.float32(0.8376), np.float32(0.8013), np.float32(0.9126), np.float32(0.8525), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7862), np.float32(0.8142), np.float32(0.6908), np.float32(0.5915), np.float32(0.0), np.float32(0.0), np.float32(0.7721), np.float32(0.5742), np.float32(0.7721), np.float32(0.6736), np.float32(0.2374), np.float32(0.634), np.float32(0.8435), np.float32(0.8195), np.float32(0.6126), np.float32(0.657), np.float32(0.3849), np.float32(0.7734), np.float32(0.5556), np.float32(0.6978), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9072), np.float32(0.9583)] 
+2026-10-18 10:20:56.952591: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 10:20:57.225374: lr: 0.000978 
+2026-10-18 10:20:57.270270: saving checkpoint... 
+2026-10-18 10:20:57.405566: done, saving took 0.18 seconds 
+2026-10-18 10:20:57.406878: This epoch took 231.311537 s
+ 
+2026-10-18 10:20:57.407072: 
+epoch:  24 
+2026-10-18 10:24:39.715576: train loss : -0.6557 
+2026-10-18 10:24:45.054517: validation loss: -0.6483 
+2026-10-18 10:24:45.055466: Average global foreground Dice: [np.float32(0.9346), np.float32(0.7183), np.float32(0.8557), np.float32(0.8727), np.float32(0.8003), np.float32(0.9265), np.float32(0.8467), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7606), np.float32(0.8076), np.float32(0.5838), np.float32(0.5119), np.float32(0.0), np.float32(0.0), np.float32(0.8131), np.float32(0.6184), np.float32(0.8219), np.float32(0.6906), np.float32(0.5046), np.float32(0.7577), np.float32(0.9012), np.float32(0.8967), np.float32(0.6867), np.float32(0.6826), np.float32(0.3153), np.float32(0.7853), np.float32(0.5428), np.float32(0.6227), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9339), np.float32(0.9619)] 
+2026-10-18 10:24:45.055607: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 10:24:45.325852: lr: 0.000977 
+2026-10-18 10:24:45.333807: saving checkpoint... 
+2026-10-18 10:24:45.589461: done, saving took 0.26 seconds 
+2026-10-18 10:24:45.590839: This epoch took 228.183691 s
+ 
+2026-10-18 10:24:45.591063: 
+epoch:  25 
+2026-10-18 10:28:37.569509: train loss : -0.6516 
+2026-10-18 10:28:42.906801: validation loss: -0.6455 
+2026-10-18 10:28:42.907810: Average global foreground Dice: [np.float32(0.9328), np.float32(0.6777), np.float32(0.8432), np.float32(0.8686), np.float32(0.8238), np.float32(0.9218), np.float32(0.8516), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7719), np.float32(0.7948), np.float32(0.6196), np.float32(0.4923), np.float32(0.0), np.float32(0.0), np.float32(0.8338), np.float32(0.5916), np.float32(0.8341), np.float32(0.6976), np.float32(0.3973), np.float32(0.7302), np.float32(0.8672), np.float32(0.8899), np.float32(0.6704), np.float32(0.67), np.float32(0.3233), np.float32(0.8206), np.float32(0.5393), np.float32(0.7212), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9267), np.float32(0.9605)] 
+2026-10-18 10:28:42.908054: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 10:28:43.173094: lr: 0.000977 
+2026-10-18 10:28:43.180872: saving checkpoint... 
+2026-10-18 10:28:43.301026: done, saving took 0.13 seconds 
+2026-10-18 10:28:43.302556: This epoch took 237.711338 s
+ 
+2026-10-18 10:28:43.302718: 
+epoch:  26 
+2026-10-18 10:32:11.006437: train loss : -0.6620 
+2026-10-18 10:32:16.347813: validation loss: -0.6557 
+2026-10-18 10:32:16.348751: Average global foreground Dice: [np.float32(0.9337), np.float32(0.6912), np.float32(0.87), np.float32(0.8655), np.float32(0.8158), np.float32(0.9197), np.float32(0.8659), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.743), np.float32(0.7821), np.float32(0.6599), np.float32(0.5299), np.float32(0.0), np.float32(0.0), np.float32(0.8126), np.float32(0.6061), np.float32(0.8326), np.float32(0.6946), np.float32(0.4904), np.float32(0.7485), np.float32(0.8746), np.float32(0.8939), np.float32(0.6677), np.float32(0.6857), np.float32(0.3012), np.float32(0.8156), np.float32(0.5594), np.float32(0.7528), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9291), np.float32(0.9571)] 
+2026-10-18 10:32:16.349151: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 10:32:16.618919: lr: 0.000976 
+2026-10-18 10:32:16.673597: saving checkpoint... 
+2026-10-18 10:32:16.810759: done, saving took 0.19 seconds 
+2026-10-18 10:32:16.812465: This epoch took 213.509683 s
+ 
+2026-10-18 10:32:16.812671: 
+epoch:  27 
+2026-10-18 10:35:56.997993: train loss : -0.6614 
+2026-10-18 10:36:02.350887: validation loss: -0.6379 
+2026-10-18 10:36:02.351840: Average global foreground Dice: [np.float32(0.9294), np.float32(0.6933), np.float32(0.8504), np.float32(0.8595), np.float32(0.7893), np.float32(0.911), np.float32(0.8509), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7934), np.float32(0.7913), np.float32(0.6202), np.float32(0.4739), np.float32(0.0), np.float32(0.0), np.float32(0.7393), np.float32(0.0739), np.float32(0.8095), np.float32(0.6525), np.float32(0.6194), np.float32(0.8007), np.float32(0.8991), np.float32(0.881), np.float32(0.6584), np.float32(0.6278), np.float32(0.1755), np.float32(0.0), np.float32(0.5193), np.float32(0.6613), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9431), np.float32(0.9604)] 
+2026-10-18 10:36:02.352367: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 10:36:02.648032: lr: 0.000975 
+2026-10-18 10:36:02.655830: saving checkpoint... 
+2026-10-18 10:36:02.794001: done, saving took 0.15 seconds 
+2026-10-18 10:36:02.795595: This epoch took 225.982849 s
+ 
+2026-10-18 10:36:02.795848: 
+epoch:  28 
+2026-10-18 10:39:51.475339: train loss : -0.6572 
+2026-10-18 10:39:56.817633: validation loss: -0.6328 
+2026-10-18 10:39:56.818637: Average global foreground Dice: [np.float32(0.8185), np.float32(0.7339), np.float32(0.8572), np.float32(0.8477), np.float32(0.6982), np.float32(0.9174), np.float32(0.7499), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7501), np.float32(0.7764), np.float32(0.6459), np.float32(0.4997), np.float32(0.0), np.float32(0.0), np.float32(0.8069), np.float32(0.6019), np.float32(0.7916), np.float32(0.6956), np.float32(0.3081), np.float32(0.7539), np.float32(0.8536), np.float32(0.8435), np.float32(0.7264), np.float32(0.6208), np.float32(0.218), np.float32(0.0), np.float32(0.5695), np.float32(0.6723), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9368), np.float32(0.962)] 
+2026-10-18 10:39:56.818797: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 10:39:57.083001: lr: 0.000974 
+2026-10-18 10:39:57.091452: saving checkpoint... 
+2026-10-18 10:39:57.220643: done, saving took 0.14 seconds 
+2026-10-18 10:39:57.222033: This epoch took 234.426077 s
+ 
+2026-10-18 10:39:57.222253: 
+epoch:  29 
+2026-10-18 10:43:42.767528: train loss : -0.6527 
+2026-10-18 10:43:48.097453: validation loss: -0.6504 
+2026-10-18 10:43:48.098629: Average global foreground Dice: [np.float32(0.9257), np.float32(0.701), np.float32(0.8608), np.float32(0.8731), np.float32(0.8245), np.float32(0.9148), np.float32(0.841), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7354), np.float32(0.7882), np.float32(0.6485), np.float32(0.5438), np.float32(0.0), np.float32(0.0), np.float32(0.8133), np.float32(0.6496), np.float32(0.8291), np.float32(0.6925), np.float32(0.5119), np.float32(0.7483), np.float32(0.886), np.float32(0.8992), np.float32(0.686), np.float32(0.694), np.float32(0.267), np.float32(0.0), np.float32(0.4478), np.float32(0.6198), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9347), np.float32(0.9622)] 
+2026-10-18 10:43:48.098868: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 10:43:48.377509: lr: 0.000973 
+2026-10-18 10:43:48.444376: saving checkpoint... 
+2026-10-18 10:43:48.578338: done, saving took 0.20 seconds 
+2026-10-18 10:43:48.579482: This epoch took 231.357141 s
+ 
+2026-10-18 10:43:48.579675: 
+epoch:  30 
+2026-10-18 10:47:35.492101: train loss : -0.6691 
+2026-10-18 10:47:40.831894: validation loss: -0.6294 
+2026-10-18 10:47:40.833153: Average global foreground Dice: [np.float32(0.9386), np.float32(0.6642), np.float32(0.8479), np.float32(0.8484), np.float32(0.7829), np.float32(0.91), np.float32(0.8427), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.756), np.float32(0.775), np.float32(0.6166), np.float32(0.4916), np.float32(0.0), np.float32(0.0), np.float32(0.794), np.float32(0.5952), np.float32(0.8175), np.float32(0.7179), np.float32(0.4068), np.float32(0.7123), np.float32(0.9073), np.float32(0.8917), np.float32(0.6064), np.float32(0.6699), np.float32(0.3341), np.float32(0.001), np.float32(0.0), np.float32(0.6168), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.938), np.float32(0.9615)] 
+2026-10-18 10:47:40.833644: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 10:47:41.111669: lr: 0.000972 
+2026-10-18 10:47:41.120113: saving checkpoint... 
+2026-10-18 10:47:41.246313: done, saving took 0.13 seconds 
+2026-10-18 10:47:41.247483: This epoch took 232.667730 s
+ 
+2026-10-18 10:47:41.247684: 
+epoch:  31 
+2026-10-18 10:52:03.116020: train loss : -0.6691 
+2026-10-18 10:52:08.465721: validation loss: -0.6639 
+2026-10-18 10:52:08.466634: Average global foreground Dice: [np.float32(0.9318), np.float32(0.7488), np.float32(0.858), np.float32(0.8427), np.float32(0.7704), np.float32(0.9064), np.float32(0.8582), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7509), np.float32(0.7896), np.float32(0.6511), np.float32(0.6098), np.float32(0.0), np.float32(0.0), np.float32(0.828), np.float32(0.6165), np.float32(0.8373), np.float32(0.7064), np.float32(0.5342), np.float32(0.769), np.float32(0.9264), np.float32(0.9171), np.float32(0.7132), np.float32(0.6744), np.float32(0.3993), np.float32(0.0), np.float32(0.5394), np.float32(0.6649), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9412), np.float32(0.9564)] 
+2026-10-18 10:52:08.466771: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 10:52:08.737279: lr: 0.000971 
+2026-10-18 10:52:08.745235: saving checkpoint... 
+2026-10-18 10:52:08.867455: done, saving took 0.13 seconds 
+2026-10-18 10:52:08.868583: This epoch took 267.620804 s
+ 
+2026-10-18 10:52:08.868764: 
+epoch:  32 
+2026-10-18 10:56:18.844598: train loss : -0.6601 
+2026-10-18 10:56:24.196380: validation loss: -0.6640 
+2026-10-18 10:56:24.197406: Average global foreground Dice: [np.float32(0.9366), np.float32(0.6792), np.float32(0.8444), np.float32(0.8538), np.float32(0.8086), np.float32(0.9085), np.float32(0.8448), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7928), np.float32(0.8041), np.float32(0.6626), np.float32(0.5731), np.float32(0.0), np.float32(0.0), np.float32(0.8257), np.float32(0.6303), np.float32(0.8297), np.float32(0.726), np.float32(0.3876), np.float32(0.7208), np.float32(0.8879), np.float32(0.8847), np.float32(0.6445), np.float32(0.6806), np.float32(0.3085), np.float32(0.0), np.float32(0.5166), np.float32(0.7533), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9401), np.float32(0.9573)] 
+2026-10-18 10:56:24.197780: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 10:56:24.487963: lr: 0.00097 
+2026-10-18 10:56:24.495666: saving checkpoint... 
+2026-10-18 10:56:24.618877: done, saving took 0.13 seconds 
+2026-10-18 10:56:24.620385: This epoch took 255.751549 s
+ 
+2026-10-18 10:56:24.620587: 
+epoch:  33 
+2026-10-18 11:00:24.440561: train loss : -0.6653 
+2026-10-18 11:00:29.801131: validation loss: -0.6616 
+2026-10-18 11:00:29.802392: Average global foreground Dice: [np.float32(0.9351), np.float32(0.7204), np.float32(0.8626), np.float32(0.8699), np.float32(0.8121), np.float32(0.9201), np.float32(0.8443), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7784), np.float32(0.8194), np.float32(0.6324), np.float32(0.5676), np.float32(0.0), np.float32(0.0), np.float32(0.7967), np.float32(0.5849), np.float32(0.8236), np.float32(0.6943), np.float32(0.6022), np.float32(0.7735), np.float32(0.9169), np.float32(0.8957), np.float32(0.6974), np.float32(0.6845), np.float32(0.2356), np.float32(0.0), np.float32(0.5727), np.float32(0.6301), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9425), np.float32(0.9599)] 
+2026-10-18 11:00:29.802881: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 11:00:30.118172: lr: 0.000969 
+2026-10-18 11:00:30.126326: saving checkpoint... 
+2026-10-18 11:00:30.251212: done, saving took 0.13 seconds 
+2026-10-18 11:00:30.252676: This epoch took 245.631975 s
+ 
+2026-10-18 11:00:30.252955: 
+epoch:  34 
+2026-10-18 11:04:39.283023: train loss : -0.6752 
+2026-10-18 11:04:44.631659: validation loss: -0.6667 
+2026-10-18 11:04:44.632823: Average global foreground Dice: [np.float32(0.9394), np.float32(0.7331), np.float32(0.8777), np.float32(0.8865), np.float32(0.7841), np.float32(0.9209), np.float32(0.853), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7273), np.float32(0.7919), np.float32(0.6088), np.float32(0.5544), np.float32(0.0), np.float32(0.0), np.float32(0.8147), np.float32(0.6294), np.float32(0.8177), np.float32(0.689), np.float32(0.5601), np.float32(0.7686), np.float32(0.926), np.float32(0.9145), np.float32(0.6748), np.float32(0.6607), np.float32(0.3361), np.float32(0.0), np.float32(0.5999), np.float32(0.7077), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.95), np.float32(0.9665)] 
+2026-10-18 11:04:44.633122: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 11:04:44.977153: lr: 0.000968 
+2026-10-18 11:04:44.987401: saving checkpoint... 
+2026-10-18 11:04:45.121280: done, saving took 0.14 seconds 
+2026-10-18 11:04:45.122728: This epoch took 254.869620 s
+ 
+2026-10-18 11:04:45.122898: 
+epoch:  35 
+2026-10-18 11:08:37.614166: train loss : -0.6762 
+2026-10-18 11:08:42.947827: validation loss: -0.6778 
+2026-10-18 11:08:42.949160: Average global foreground Dice: [np.float32(0.9196), np.float32(0.7189), np.float32(0.8106), np.float32(0.8624), np.float32(0.7993), np.float32(0.9199), np.float32(0.8578), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7701), np.float32(0.7839), np.float32(0.6704), np.float32(0.5764), np.float32(0.0), np.float32(0.0), np.float32(0.8216), np.float32(0.6376), np.float32(0.8261), np.float32(0.7233), np.float32(0.4506), np.float32(0.779), np.float32(0.8984), np.float32(0.8462), np.float32(0.6932), np.float32(0.6802), np.float32(0.3724), np.float32(0.0), np.float32(0.6416), np.float32(0.7676), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9417), np.float32(0.9557)] 
+2026-10-18 11:08:42.949445: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 11:08:43.226327: lr: 0.000968 
+2026-10-18 11:08:43.234550: saving checkpoint... 
+2026-10-18 11:08:43.354017: done, saving took 0.13 seconds 
+2026-10-18 11:08:43.355373: This epoch took 238.232399 s
+ 
+2026-10-18 11:08:43.355742: 
+epoch:  36 
+2026-10-18 11:12:59.629435: train loss : -0.6751 
+2026-10-18 11:13:04.968637: validation loss: -0.6643 
+2026-10-18 11:13:04.969906: Average global foreground Dice: [np.float32(0.9377), np.float32(0.695), np.float32(0.8653), np.float32(0.8686), np.float32(0.8242), np.float32(0.9248), np.float32(0.8726), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7806), np.float32(0.8136), np.float32(0.6584), np.float32(0.5918), np.float32(0.0), np.float32(0.0), np.float32(0.8237), np.float32(0.5883), np.float32(0.8309), np.float32(0.6681), np.float32(0.4691), np.float32(0.7653), np.float32(0.8913), np.float32(0.8838), np.float32(0.6124), np.float32(0.6834), np.float32(0.2458), np.float32(0.0), np.float32(0.5783), np.float32(0.7029), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9453), np.float32(0.9659)] 
+2026-10-18 11:13:04.970387: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 11:13:05.259701: lr: 0.000967 
+2026-10-18 11:13:05.267545: saving checkpoint... 
+2026-10-18 11:13:05.393353: done, saving took 0.13 seconds 
+2026-10-18 11:13:05.394469: This epoch took 262.038646 s
+ 
+2026-10-18 11:13:05.394746: 
+epoch:  37 
+2026-10-18 11:17:32.903845: train loss : -0.6775 
+2026-10-18 11:17:38.243966: validation loss: -0.6361 
+2026-10-18 11:17:38.244905: Average global foreground Dice: [np.float32(0.9211), np.float32(0.7064), np.float32(0.8472), np.float32(0.842), np.float32(0.7569), np.float32(0.9218), np.float32(0.8434), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7287), np.float32(0.7876), np.float32(0.6601), np.float32(0.5973), np.float32(0.0), np.float32(0.0), np.float32(0.8201), np.float32(0.662), np.float32(0.82), np.float32(0.645), np.float32(0.3011), np.float32(0.7534), np.float32(0.897), np.float32(0.8821), np.float32(0.6711), np.float32(0.6358), np.float32(0.2743), np.float32(0.0), np.float32(0.2152), np.float32(0.3156), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9355), np.float32(0.9559)] 
+2026-10-18 11:17:38.245059: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 11:17:38.551719: lr: 0.000966 
+2026-10-18 11:17:38.551940: This epoch took 273.157008 s
+ 
+2026-10-18 11:17:38.552018: 
+epoch:  38 
+2026-10-18 11:21:17.749216: train loss : -0.6702 
+2026-10-18 11:21:23.090701: validation loss: -0.6365 
+2026-10-18 11:21:23.092681: Average global foreground Dice: [np.float32(0.908), np.float32(0.7338), np.float32(0.8287), np.float32(0.8678), np.float32(0.7421), np.float32(0.9162), np.float32(0.8696), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7728), np.float32(0.8078), np.float32(0.6399), np.float32(0.5435), np.float32(0.0), np.float32(0.0), np.float32(0.7408), np.float32(0.4736), np.float32(0.7817), np.float32(0.6699), np.float32(0.5533), np.float32(0.6963), np.float32(0.7792), np.float32(0.7806), np.float32(0.632), np.float32(0.6388), np.float32(0.2456), np.float32(0.0), np.float32(0.4736), np.float32(0.5604), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.8462), np.float32(0.9062)] 
+2026-10-18 11:21:23.092932: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 11:21:23.488267: lr: 0.000965 
+2026-10-18 11:21:23.488713: This epoch took 224.936638 s
+ 
+2026-10-18 11:21:23.489031: 
+epoch:  39 
+2026-10-18 11:25:09.082306: train loss : -0.6760 
+2026-10-18 11:25:14.417616: validation loss: -0.6596 
+2026-10-18 11:25:14.418545: Average global foreground Dice: [np.float32(0.9017), np.float32(0.7158), np.float32(0.8634), np.float32(0.8541), np.float32(0.8022), np.float32(0.9115), np.float32(0.8299), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7562), np.float32(0.8144), np.float32(0.6158), np.float32(0.5555), np.float32(0.0), np.float32(0.0), np.float32(0.8137), np.float32(0.634), np.float32(0.8027), np.float32(0.6904), np.float32(0.3021), np.float32(0.7462), np.float32(0.9114), np.float32(0.8883), np.float32(0.6682), np.float32(0.6978), np.float32(0.2681), np.float32(0.0), np.float32(0.4298), np.float32(0.7953), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9438), np.float32(0.956)] 
+2026-10-18 11:25:14.418846: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 11:25:14.711591: lr: 0.000964 
+2026-10-18 11:25:14.711828: This epoch took 231.222473 s
+ 
+2026-10-18 11:25:14.711903: 
+epoch:  40 
+2026-10-18 11:28:54.392333: train loss : -0.6807 
+2026-10-18 11:28:59.747773: validation loss: -0.6696 
+2026-10-18 11:28:59.748994: Average global foreground Dice: [np.float32(0.9301), np.float32(0.7526), np.float32(0.83), np.float32(0.8787), np.float32(0.8179), np.float32(0.9254), np.float32(0.8686), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7785), np.float32(0.8006), np.float32(0.6599), np.float32(0.5497), np.float32(0.0), np.float32(0.0), np.float32(0.8256), np.float32(0.6459), np.float32(0.8251), np.float32(0.7072), np.float32(0.6256), np.float32(0.2795), np.float32(0.9181), np.float32(0.8977), np.float32(0.6893), np.float32(0.6792), np.float32(0.302), np.float32(0.0), np.float32(0.6125), np.float32(0.673), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.945), np.float32(0.9651)] 
+2026-10-18 11:28:59.749362: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 11:29:00.069567: lr: 0.000963 
+2026-10-18 11:29:00.070239: This epoch took 225.358288 s
+ 
+2026-10-18 11:29:00.070497: 
+epoch:  41 
+2026-10-18 11:32:36.412078: train loss : -0.6834 
+2026-10-18 11:32:41.747663: validation loss: -0.5705 
+2026-10-18 11:32:41.748547: Average global foreground Dice: [np.float32(0.9122), np.float32(0.5902), np.float32(0.6002), np.float32(0.6278), np.float32(0.6019), np.float32(0.7256), np.float32(0.7522), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.5752), np.float32(0.6637), np.float32(0.572), np.float32(0.494), np.float32(0.0), np.float32(0.0), np.float32(0.5939), np.float32(0.3684), np.float32(0.6545), np.float32(0.5963), np.float32(0.6247), np.float32(0.7472), np.float32(0.7473), np.float32(0.6599), np.float32(0.4888), np.float32(0.3738), np.float32(0.163), np.float32(0.0), np.float32(0.6056), np.float32(0.7106), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.6801), np.float32(0.7364)] 
+2026-10-18 11:32:41.748904: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 11:32:42.062420: lr: 0.000962 
+2026-10-18 11:32:42.062665: This epoch took 221.992077 s
+ 
+2026-10-18 11:32:42.062755: 
+epoch:  42 
+2026-10-18 11:36:40.535791: train loss : -0.6807 
+2026-10-18 11:36:45.890703: validation loss: -0.6615 
+2026-10-18 11:36:45.891764: Average global foreground Dice: [np.float32(0.9335), np.float32(0.6543), np.float32(0.8214), np.float32(0.8706), np.float32(0.7927), np.float32(0.9208), np.float32(0.8728), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.78), np.float32(0.801), np.float32(0.6471), np.float32(0.5612), np.float32(0.0), np.float32(0.0), np.float32(0.8087), np.float32(0.6521), np.float32(0.82), np.float32(0.7059), np.float32(0.3127), np.float32(0.7563), np.float32(0.9023), np.float32(0.906), np.float32(0.6206), np.float32(0.6495), np.float32(0.3473), np.float32(0.0), np.float32(0.53), np.float32(0.7064), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9368), np.float32(0.961)] 
+2026-10-18 11:36:45.891927: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 11:36:46.165760: lr: 0.000961 
+2026-10-18 11:36:46.166108: This epoch took 244.103289 s
+ 
+2026-10-18 11:36:46.166301: 
+epoch:  43 
+2026-10-18 11:40:35.789915: train loss : -0.6851 
+2026-10-18 11:40:41.135130: validation loss: -0.6768 
+2026-10-18 11:40:41.135979: Average global foreground Dice: [np.float32(0.9402), np.float32(0.7039), np.float32(0.8473), np.float32(0.8679), np.float32(0.8237), np.float32(0.9326), np.float32(0.8517), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7564), np.float32(0.8109), np.float32(0.6667), np.float32(0.6144), np.float32(0.0), np.float32(0.0), np.float32(0.8082), np.float32(0.573), np.float32(0.8072), np.float32(0.703), np.float32(0.4724), np.float32(0.7703), np.float32(0.9268), np.float32(0.9082), np.float32(0.6548), np.float32(0.6596), np.float32(0.3962), np.float32(0.0), np.float32(0.5893), np.float32(0.6897), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9382), np.float32(0.966)] 
+2026-10-18 11:40:41.136252: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 11:40:41.409524: lr: 0.00096 
+2026-10-18 11:40:41.410086: This epoch took 235.243701 s
+ 
+2026-10-18 11:40:41.410390: 
+epoch:  44 
+2026-10-18 11:44:14.789034: train loss : -0.6942 
+2026-10-18 11:44:20.124054: validation loss: -0.6622 
+2026-10-18 11:44:20.125191: Average global foreground Dice: [np.float32(0.9408), np.float32(0.7131), np.float32(0.8441), np.float32(0.8693), np.float32(0.8053), np.float32(0.92), np.float32(0.8613), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7652), np.float32(0.797), np.float32(0.6176), np.float32(0.528), np.float32(0.0), np.float32(0.0), np.float32(0.8), np.float32(0.6401), np.float32(0.8208), np.float32(0.7152), np.float32(0.4746), np.float32(0.7814), np.float32(0.9187), np.float32(0.9098), np.float32(0.7034), np.float32(0.6841), np.float32(0.2927), np.float32(0.0), np.float32(0.5296), np.float32(0.7152), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9454), np.float32(0.9668)] 
+2026-10-18 11:44:20.125622: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 11:44:20.464652: lr: 0.000959 
+2026-10-18 11:44:20.464984: This epoch took 219.054334 s
+ 
+2026-10-18 11:44:20.465264: 
+epoch:  45 
+2026-10-18 11:47:54.272580: train loss : -0.6987 
+2026-10-18 11:47:59.603302: validation loss: -0.6723 
+2026-10-18 11:47:59.604288: Average global foreground Dice: [np.float32(0.9405), np.float32(0.7171), np.float32(0.8706), np.float32(0.8889), np.float32(0.8126), np.float32(0.9256), np.float32(0.8618), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7945), np.float32(0.8019), np.float32(0.6319), np.float32(0.5501), np.float32(0.0), np.float32(0.0), np.float32(0.8276), np.float32(0.641), np.float32(0.8346), np.float32(0.7281), np.float32(0.3305), np.float32(0.7599), np.float32(0.9197), np.float32(0.9102), np.float32(0.6788), np.float32(0.6675), np.float32(0.2387), np.float32(0.0), np.float32(0.6505), np.float32(0.7627), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9519), np.float32(0.9658)] 
+2026-10-18 11:47:59.604444: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 11:47:59.899708: lr: 0.000959 
+2026-10-18 11:47:59.900056: This epoch took 219.434693 s
+ 
+2026-10-18 11:47:59.900290: 
+epoch:  46 
+2026-10-18 11:51:36.113528: train loss : -0.6900 
+2026-10-18 11:51:41.459412: validation loss: -0.6481 
+2026-10-18 11:51:41.460358: Average global foreground Dice: [np.float32(0.9289), np.float32(0.6644), np.float32(0.8642), np.float32(0.8856), np.float32(0.8074), np.float32(0.9113), np.float32(0.8587), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7732), np.float32(0.8053), np.float32(0.6545), np.float32(0.5201), np.float32(0.0), np.float32(0.0), np.float32(0.8258), np.float32(0.6494), np.float32(0.8322), np.float32(0.6729), np.float32(0.4441), np.float32(0.7402), np.float32(0.8216), np.float32(0.8106), np.float32(0.6539), np.float32(0.6895), np.float32(0.3484), np.float32(0.0), np.float32(0.5039), np.float32(0.7182), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9345), np.float32(0.961)] 
+2026-10-18 11:51:41.460515: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 11:51:41.750800: lr: 0.000958 
+2026-10-18 11:51:41.759219: saving checkpoint... 
+2026-10-18 11:51:41.888055: done, saving took 0.14 seconds 
+2026-10-18 11:51:41.889490: This epoch took 221.989124 s
+ 
+2026-10-18 11:51:41.889651: 
+epoch:  47 
+2026-10-18 11:55:35.051476: train loss : -0.6967 
+2026-10-18 11:55:40.390972: validation loss: -0.6403 
+2026-10-18 11:55:40.392281: Average global foreground Dice: [np.float32(0.9383), np.float32(0.6317), np.float32(0.8504), np.float32(0.8707), np.float32(0.7885), np.float32(0.9293), np.float32(0.8474), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7719), np.float32(0.8214), np.float32(0.5508), np.float32(0.5903), np.float32(0.0), np.float32(0.0), np.float32(0.8112), np.float32(0.5712), np.float32(0.826), np.float32(0.6118), np.float32(0.2754), np.float32(0.7244), np.float32(0.9024), np.float32(0.8959), np.float32(0.6512), np.float32(0.6827), np.float32(0.4176), np.float32(0.0), np.float32(0.2929), np.float32(0.7259), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9402), np.float32(0.9658)] 
+2026-10-18 11:55:40.392586: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 11:55:40.690374: lr: 0.000957 
+2026-10-18 11:55:40.690713: This epoch took 238.800984 s
+ 
+2026-10-18 11:55:40.690816: 
+epoch:  48 
+2026-10-18 11:59:26.563812: train loss : -0.6852 
+2026-10-18 11:59:31.906242: validation loss: -0.6729 
+2026-10-18 11:59:31.907275: Average global foreground Dice: [np.float32(0.9371), np.float32(0.7191), np.float32(0.8678), np.float32(0.8887), np.float32(0.8289), np.float32(0.9234), np.float32(0.8833), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7688), np.float32(0.8147), np.float32(0.6352), np.float32(0.5291), np.float32(0.0), np.float32(0.0), np.float32(0.823), np.float32(0.6129), np.float32(0.8295), np.float32(0.6349), np.float32(0.5213), np.float32(0.7095), np.float32(0.9098), np.float32(0.8975), np.float32(0.6646), np.float32(0.6723), np.float32(0.3452), np.float32(0.0), np.float32(0.6336), np.float32(0.6991), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.943), np.float32(0.9646)] 
+2026-10-18 11:59:31.907704: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 11:59:32.231916: lr: 0.000956 
+2026-10-18 11:59:32.240726: saving checkpoint... 
+2026-10-18 11:59:32.371280: done, saving took 0.14 seconds 
+2026-10-18 11:59:32.372927: This epoch took 231.682055 s
+ 
+2026-10-18 11:59:32.373146: 
+epoch:  49 
+2026-10-18 12:03:18.176711: train loss : -0.6974 
+2026-10-18 12:03:23.542544: validation loss: -0.6772 
+2026-10-18 12:03:23.543688: Average global foreground Dice: [np.float32(0.9364), np.float32(0.7187), np.float32(0.8459), np.float32(0.8603), np.float32(0.8068), np.float32(0.9286), np.float32(0.8487), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7681), np.float32(0.813), np.float32(0.6866), np.float32(0.6204), np.float32(0.0), np.float32(0.0), np.float32(0.8175), np.float32(0.6437), np.float32(0.8204), np.float32(0.693), np.float32(0.4829), np.float32(0.7167), np.float32(0.9225), np.float32(0.9084), np.float32(0.7117), np.float32(0.6658), np.float32(0.4438), np.float32(0.0), np.float32(0.6102), np.float32(0.7288), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9348), np.float32(0.9656)] 
+2026-10-18 12:03:23.544259: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 12:03:23.821862: lr: 0.000955 
+2026-10-18 12:03:23.822150: saving scheduled checkpoint file... 
+2026-10-18 12:03:23.830938: saving checkpoint... 
+2026-10-18 12:03:23.956442: done, saving took 0.13 seconds 
+2026-10-18 12:03:23.957467: done 
+2026-10-18 12:03:23.965063: saving checkpoint... 
+2026-10-18 12:03:24.089242: done, saving took 0.13 seconds 
+2026-10-18 12:03:24.090441: This epoch took 231.717206 s
+ 
+2026-10-18 12:03:24.090646: 
+epoch:  50 
+2026-10-18 12:07:13.343442: train loss : -0.6902 
+2026-10-18 12:07:18.689190: validation loss: -0.6671 
+2026-10-18 12:07:18.690325: Average global foreground Dice: [np.float32(0.929), np.float32(0.6977), np.float32(0.8583), np.float32(0.865), np.float32(0.791), np.float32(0.9178), np.float32(0.8692), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7652), np.float32(0.789), np.float32(0.6674), np.float32(0.5921), np.float32(0.0), np.float32(0.0), np.float32(0.8211), np.float32(0.6118), np.float32(0.8349), np.float32(0.692), np.float32(0.5127), np.float32(0.6821), np.float32(0.9063), np.float32(0.9005), np.float32(0.6647), np.float32(0.6906), np.float32(0.4043), np.float32(0.0), np.float32(0.5937), np.float32(0.6529), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9394), np.float32(0.9644)] 
+2026-10-18 12:07:18.690558: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 12:07:19.010608: lr: 0.000954 
+2026-10-18 12:07:19.018658: saving checkpoint... 
+2026-10-18 12:07:19.143451: done, saving took 0.13 seconds 
+2026-10-18 12:07:19.144778: This epoch took 235.054035 s
+ 
+2026-10-18 12:07:19.144975: 
+epoch:  51 
+2026-10-18 12:11:12.023533: train loss : -0.6970 
+2026-10-18 12:11:17.364218: validation loss: -0.6603 
+2026-10-18 12:11:17.365188: Average global foreground Dice: [np.float32(0.9272), np.float32(0.6912), np.float32(0.8588), np.float32(0.8464), np.float32(0.7916), np.float32(0.9075), np.float32(0.8499), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7476), np.float32(0.8112), np.float32(0.6051), np.float32(0.5124), np.float32(0.0), np.float32(0.0), np.float32(0.8281), np.float32(0.6576), np.float32(0.8299), np.float32(0.7178), np.float32(0.433), np.float32(0.7554), np.float32(0.9032), np.float32(0.8955), np.float32(0.6415), np.float32(0.6494), np.float32(0.3256), np.float32(0.0), np.float32(0.5997), np.float32(0.6737), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9468), np.float32(0.9605)] 
+2026-10-18 12:11:17.365564: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 12:11:17.668309: lr: 0.000953 
+2026-10-18 12:11:17.676039: saving checkpoint... 
+2026-10-18 12:11:17.801374: done, saving took 0.13 seconds 
+2026-10-18 12:11:17.802481: This epoch took 238.657415 s
+ 
+2026-10-18 12:11:17.802655: 
+epoch:  52 
+2026-10-18 12:15:14.438606: train loss : -0.6955 
+2026-10-18 12:15:19.776257: validation loss: -0.6588 
+2026-10-18 12:15:19.777204: Average global foreground Dice: [np.float32(0.939), np.float32(0.6766), np.float32(0.8644), np.float32(0.8722), np.float32(0.8251), np.float32(0.9292), np.float32(0.8816), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7823), np.float32(0.8218), np.float32(0.6529), np.float32(0.6035), np.float32(0.0), np.float32(0.0), np.float32(0.8148), np.float32(0.5283), np.float32(0.833), np.float32(0.6203), np.float32(0.2922), np.float32(0.7083), np.float32(0.9139), np.float32(0.9105), np.float32(0.64), np.float32(0.6786), np.float32(0.3135), np.float32(0.0), np.float32(0.5062), np.float32(0.6659), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9396), np.float32(0.9642)] 
+2026-10-18 12:15:19.777557: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 12:15:20.046912: lr: 0.000952 
+2026-10-18 12:15:20.047137: This epoch took 242.244405 s
+ 
+2026-10-18 12:15:20.047214: 
+epoch:  53 
+2026-10-18 12:18:57.185273: train loss : -0.6881 
+2026-10-18 12:19:02.516969: validation loss: -0.6603 
+2026-10-18 12:19:02.518101: Average global foreground Dice: [np.float32(0.9365), np.float32(0.705), np.float32(0.8316), np.float32(0.8962), np.float32(0.8324), np.float32(0.9257), np.float32(0.8773), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7512), np.float32(0.7949), np.float32(0.6665), np.float32(0.6085), np.float32(0.0), np.float32(0.0), np.float32(0.823), np.float32(0.5996), np.float32(0.8226), np.float32(0.6823), np.float32(0.4265), np.float32(0.7583), np.float32(0.9095), np.float32(0.9062), np.float32(0.6789), np.float32(0.6574), np.float32(0.1728), np.float32(0.0), np.float32(0.5507), np.float32(0.6719), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9307), np.float32(0.9594)] 
+2026-10-18 12:19:02.518628: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 12:19:02.868886: lr: 0.000951 
+2026-10-18 12:19:02.876721: saving checkpoint... 
+2026-10-18 12:19:02.997878: done, saving took 0.13 seconds 
+2026-10-18 12:19:02.999389: This epoch took 222.952125 s
+ 
+2026-10-18 12:19:02.999481: 
+epoch:  54 
+2026-10-18 12:22:45.074260: train loss : -0.6884 
+2026-10-18 12:22:50.413359: validation loss: -0.6811 
+2026-10-18 12:22:50.414254: Average global foreground Dice: [np.float32(0.9394), np.float32(0.7749), np.float32(0.8613), np.float32(0.8924), np.float32(0.8292), np.float32(0.9272), np.float32(0.8776), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7431), np.float32(0.7873), np.float32(0.6486), np.float32(0.5537), np.float32(0.0), np.float32(0.0), np.float32(0.809), np.float32(0.601), np.float32(0.8287), np.float32(0.6965), np.float32(0.6437), np.float32(0.7884), np.float32(0.9217), np.float32(0.9132), np.float32(0.6122), np.float32(0.6562), np.float32(0.3151), np.float32(0.0), np.float32(0.6539), np.float32(0.7345), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9405), np.float32(0.9477)] 
+2026-10-18 12:22:50.414551: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 12:22:50.736134: lr: 0.00095 
+2026-10-18 12:22:50.744807: saving checkpoint... 
+2026-10-18 12:22:50.875744: done, saving took 0.14 seconds 
+2026-10-18 12:22:50.876987: This epoch took 227.877454 s
+ 
+2026-10-18 12:22:50.877082: 
+epoch:  55 
+2026-10-18 12:26:48.805919: train loss : -0.6864 
+2026-10-18 12:26:54.159334: validation loss: -0.6494 
+2026-10-18 12:26:54.160470: Average global foreground Dice: [np.float32(0.903), np.float32(0.6992), np.float32(0.8363), np.float32(0.8694), np.float32(0.8088), np.float32(0.9315), np.float32(0.868), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.724), np.float32(0.782), np.float32(0.5738), np.float32(0.4722), np.float32(0.0), np.float32(0.0), np.float32(0.7914), np.float32(0.6123), np.float32(0.8076), np.float32(0.6971), np.float32(0.468), np.float32(0.7303), np.float32(0.9047), np.float32(0.8884), np.float32(0.6691), np.float32(0.6734), np.float32(0.2645), np.float32(0.0), np.float32(0.5138), np.float32(0.5028), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9358), np.float32(0.964)] 
+2026-10-18 12:26:54.160820: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 12:26:54.484806: lr: 0.000949 
+2026-10-18 12:26:54.485934: This epoch took 243.608798 s
+ 
+2026-10-18 12:26:54.486169: 
+epoch:  56 
+2026-10-18 12:31:06.076442: train loss : -0.7009 
+2026-10-18 12:31:11.410158: validation loss: -0.6716 
+2026-10-18 12:31:11.411369: Average global foreground Dice: [np.float32(0.9358), np.float32(0.7458), np.float32(0.8305), np.float32(0.8391), np.float32(0.8094), np.float32(0.9218), np.float32(0.8783), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7624), np.float32(0.7966), np.float32(0.6673), np.float32(0.5619), np.float32(0.0), np.float32(0.0), np.float32(0.8233), np.float32(0.6491), np.float32(0.8411), np.float32(0.7031), np.float32(0.5654), np.float32(0.7198), np.float32(0.9158), np.float32(0.9094), np.float32(0.663), np.float32(0.6723), np.float32(0.3552), np.float32(0.0), np.float32(0.5654), np.float32(0.6925), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9338), np.float32(0.9659)] 
+2026-10-18 12:31:11.411870: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 12:31:11.705398: lr: 0.000949 
+2026-10-18 12:31:11.713721: saving checkpoint... 
+2026-10-18 12:31:11.855127: done, saving took 0.15 seconds 
+2026-10-18 12:31:11.856937: This epoch took 257.370647 s
+ 
+2026-10-18 12:31:11.857168: 
+epoch:  57 
+2026-10-18 12:35:27.853244: train loss : -0.6822 
+2026-10-18 12:35:33.220518: validation loss: -0.6051 
+2026-10-18 12:35:33.221559: Average global foreground Dice: [np.float32(0.9394), np.float32(0.63), np.float32(0.6924), np.float32(0.703), np.float32(0.6421), np.float32(0.7723), np.float32(0.7591), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.6062), np.float32(0.685), np.float32(0.6329), np.float32(0.4878), np.float32(0.0), np.float32(0.0), np.float32(0.5839), np.float32(0.3903), np.float32(0.699), np.float32(0.5564), np.float32(0.6389), np.float32(0.6718), np.float32(0.8801), np.float32(0.8659), np.float32(0.529), np.float32(0.4893), np.float32(0.2222), np.float32(0.0), np.float32(0.6429), np.float32(0.6857), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.8979), np.float32(0.9189)] 
+2026-10-18 12:35:33.221796: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 12:35:33.562716: lr: 0.000948 
+2026-10-18 12:35:33.562947: This epoch took 261.705677 s
+ 
+2026-10-18 12:35:33.563093: 
+epoch:  58 
+2026-10-18 12:39:07.475405: train loss : -0.6801 
+2026-10-18 12:39:12.821538: validation loss: -0.6632 
+2026-10-18 12:39:12.822466: Average global foreground Dice: [np.float32(0.9314), np.float32(0.713), np.float32(0.8265), np.float32(0.8878), np.float32(0.839), np.float32(0.9296), np.float32(0.8579), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7624), np.float32(0.7915), np.float32(0.6844), np.float32(0.6203), np.float32(0.0), np.float32(0.0), np.float32(0.8293), np.float32(0.6275), np.float32(0.8253), np.float32(0.7043), np.float32(0.5058), np.float32(0.7767), np.float32(0.8969), np.float32(0.887), np.float32(0.6717), np.float32(0.6426), np.float32(0.3946), np.float32(0.0), np.float32(0.5696), np.float32(0.6971), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9319), np.float32(0.9611)] 
+2026-10-18 12:39:12.822774: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 12:39:13.146707: lr: 0.000947 
+2026-10-18 12:39:13.146954: This epoch took 219.583669 s
+ 
+2026-10-18 12:39:13.147104: 
+epoch:  59 
+2026-10-18 12:42:57.030108: train loss : -0.6994 
+2026-10-18 12:43:02.375240: validation loss: -0.6806 
+2026-10-18 12:43:02.376662: Average global foreground Dice: [np.float32(0.9196), np.float32(0.7455), np.float32(0.8388), np.float32(0.8752), np.float32(0.8089), np.float32(0.934), np.float32(0.8573), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7742), np.float32(0.8167), np.float32(0.7028), np.float32(0.6037), np.float32(0.0), np.float32(0.0), np.float32(0.8279), np.float32(0.6669), np.float32(0.8261), np.float32(0.6996), np.float32(0.3969), np.float32(0.7767), np.float32(0.9133), np.float32(0.8722), np.float32(0.7409), np.float32(0.6889), np.float32(0.4062), np.float32(0.0), np.float32(0.646), np.float32(0.7361), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9449), np.float32(0.9636)] 
+2026-10-18 12:43:02.377735: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 12:43:02.742015: lr: 0.000946 
+2026-10-18 12:43:02.742292: This epoch took 229.595109 s
+ 
+2026-10-18 12:43:02.742382: 
+epoch:  60 
+2026-10-18 12:46:28.338383: train loss : -0.6967 
+2026-10-18 12:46:33.699265: validation loss: -0.6736 
+2026-10-18 12:46:33.700129: Average global foreground Dice: [np.float32(0.9226), np.float32(0.6814), np.float32(0.8411), np.float32(0.8828), np.float32(0.8392), np.float32(0.9374), np.float32(0.8611), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7795), np.float32(0.8314), np.float32(0.6574), np.float32(0.552), np.float32(0.0), np.float32(0.0), np.float32(0.8347), np.float32(0.6936), np.float32(0.8372), np.float32(0.7278), np.float32(0.3687), np.float32(0.7248), np.float32(0.9116), np.float32(0.9108), np.float32(0.63), np.float32(0.7012), np.float32(0.3812), np.float32(0.0), np.float32(0.5886), np.float32(0.7502), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9429), np.float32(0.967)] 
+2026-10-18 12:46:33.700257: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 12:46:34.037561: lr: 0.000945 
+2026-10-18 12:46:34.037826: This epoch took 211.295253 s
+ 
+2026-10-18 12:46:34.037936: 
+epoch:  61 
+2026-10-18 12:50:26.319749: train loss : -0.6974 
+2026-10-18 12:50:31.669060: validation loss: -0.6706 
+2026-10-18 12:50:31.670183: Average global foreground Dice: [np.float32(0.9244), np.float32(0.738), np.float32(0.8527), np.float32(0.8853), np.float32(0.8301), np.float32(0.93), np.float32(0.8763), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7516), np.float32(0.8001), np.float32(0.6431), np.float32(0.5075), np.float32(0.0), np.float32(0.0), np.float32(0.8129), np.float32(0.6057), np.float32(0.838), np.float32(0.7005), np.float32(0.4646), np.float32(0.7681), np.float32(0.8908), np.float32(0.9031), np.float32(0.7443), np.float32(0.6708), np.float32(0.3333), np.float32(0.0), np.float32(0.5973), np.float32(0.6527), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.945), np.float32(0.9665)] 
+2026-10-18 12:50:31.670492: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 12:50:31.979921: lr: 0.000944 
+2026-10-18 12:50:31.987637: saving checkpoint... 
+2026-10-18 12:50:32.218916: done, saving took 0.24 seconds 
+2026-10-18 12:50:32.220927: This epoch took 238.182873 s
+ 
+2026-10-18 12:50:32.221200: 
+epoch:  62 
+2026-10-18 12:54:39.763774: train loss : -0.7005 
+2026-10-18 12:54:45.122633: validation loss: -0.6723 
+2026-10-18 12:54:45.123905: Average global foreground Dice: [np.float32(0.9159), np.float32(0.6934), np.float32(0.8622), np.float32(0.8439), np.float32(0.8448), np.float32(0.9353), np.float32(0.8636), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7544), np.float32(0.825), np.float32(0.6827), np.float32(0.63), np.float32(0.0), np.float32(0.0), np.float32(0.825), np.float32(0.6125), np.float32(0.8271), np.float32(0.7185), np.float32(0.3477), np.float32(0.7323), np.float32(0.92), np.float32(0.9019), np.float32(0.6488), np.float32(0.6476), np.float32(0.1564), np.float32(0.0), np.float32(0.657), np.float32(0.7537), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9322), np.float32(0.9607)] 
+2026-10-18 12:54:45.124174: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 12:54:45.444263: lr: 0.000943 
+2026-10-18 12:54:45.452478: saving checkpoint... 
+2026-10-18 12:54:45.578470: done, saving took 0.13 seconds 
+2026-10-18 12:54:45.580264: This epoch took 253.358966 s
+ 
+2026-10-18 12:54:45.580373: 
+epoch:  63 
+2026-10-18 12:58:46.775110: train loss : -0.6890 
+2026-10-18 12:58:52.104679: validation loss: -0.6615 
+2026-10-18 12:58:52.105767: Average global foreground Dice: [np.float32(0.9165), np.float32(0.7035), np.float32(0.8614), np.float32(0.8777), np.float32(0.8097), np.float32(0.9345), np.float32(0.8766), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7459), np.float32(0.8127), np.float32(0.6451), np.float32(0.6107), np.float32(0.0), np.float32(0.0), np.float32(0.8264), np.float32(0.6024), np.float32(0.8299), np.float32(0.7004), np.float32(0.3233), np.float32(0.7543), np.float32(0.9013), np.float32(0.8704), np.float32(0.6167), np.float32(0.6626), np.float32(0.2376), np.float32(0.0), np.float32(0.6173), np.float32(0.7265), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9515), np.float32(0.9628)] 
+2026-10-18 12:58:52.106143: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 12:58:52.412968: lr: 0.000942 
+2026-10-18 12:58:52.420478: saving checkpoint... 
+2026-10-18 12:58:52.712991: done, saving took 0.30 seconds 
+2026-10-18 12:58:52.714317: This epoch took 247.133846 s
+ 
+2026-10-18 12:58:52.714534: 
+epoch:  64 
+2026-10-18 13:02:46.117968: train loss : -0.7090 
+2026-10-18 13:02:51.455488: validation loss: -0.6698 
+2026-10-18 13:02:51.456466: Average global foreground Dice: [np.float32(0.9214), np.float32(0.7456), np.float32(0.8605), np.float32(0.877), np.float32(0.8405), np.float32(0.9383), np.float32(0.8611), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.768), np.float32(0.8188), np.float32(0.6637), np.float32(0.5933), np.float32(0.0), np.float32(0.0), np.float32(0.8321), np.float32(0.6212), np.float32(0.8314), np.float32(0.7113), np.float32(0.4501), np.float32(0.7659), np.float32(0.9241), np.float32(0.9064), np.float32(0.695), np.float32(0.7019), np.float32(0.3777), np.float32(0.0), np.float32(0.5985), np.float32(0.7193), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9479), np.float32(0.9678)] 
+2026-10-18 13:02:51.457075: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 13:02:51.779073: lr: 0.000941 
+2026-10-18 13:02:51.786925: saving checkpoint... 
+2026-10-18 13:02:51.910649: done, saving took 0.13 seconds 
+2026-10-18 13:02:51.912878: This epoch took 239.198239 s
+ 
+2026-10-18 13:02:51.913019: 
+epoch:  65 
+2026-10-18 13:06:46.960702: train loss : -0.7030 
+2026-10-18 13:06:52.299718: validation loss: -0.6548 
+2026-10-18 13:06:52.301259: Average global foreground Dice: [np.float32(0.9319), np.float32(0.7234), np.float32(0.8627), np.float32(0.8779), np.float32(0.8164), np.float32(0.9337), np.float32(0.8667), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7419), np.float32(0.7944), np.float32(0.6777), np.float32(0.5709), np.float32(0.0), np.float32(0.0), np.float32(0.8167), np.float32(0.5946), np.float32(0.827), np.float32(0.6881), np.float32(0.2858), np.float32(0.6873), np.float32(0.9021), np.float32(0.8907), np.float32(0.6554), np.float32(0.6692), np.float32(0.3756), np.float32(0.0), np.float32(0.4375), np.float32(0.4472), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9535), np.float32(0.9671)] 
+2026-10-18 13:06:52.301655: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 13:06:52.585806: lr: 0.00094 
+2026-10-18 13:06:52.586058: This epoch took 240.672839 s
+ 
+2026-10-18 13:06:52.586136: 
+epoch:  66 
+2026-10-18 13:10:40.382708: train loss : -0.7057 
+2026-10-18 13:10:45.715505: validation loss: -0.6377 
+2026-10-18 13:10:45.716599: Average global foreground Dice: [np.float32(0.8986), np.float32(0.708), np.float32(0.8505), np.float32(0.8363), np.float32(0.7697), np.float32(0.9137), np.float32(0.8583), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7325), np.float32(0.7763), np.float32(0.6783), np.float32(0.5498), np.float32(0.0), np.float32(0.0), np.float32(0.8149), np.float32(0.6329), np.float32(0.8256), np.float32(0.669), np.float32(0.4423), np.float32(0.7395), np.float32(0.8343), np.float32(0.7871), np.float32(0.7141), np.float32(0.672), np.float32(0.3386), np.float32(0.7504), np.float32(0.5775), np.float32(0.6806), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.8276), np.float32(0.8897)] 
+2026-10-18 13:10:45.716936: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 13:10:46.007924: lr: 0.000939 
+2026-10-18 13:10:46.008364: This epoch took 233.422176 s
+ 
+2026-10-18 13:10:46.008714: 
+epoch:  67 
+2026-10-18 13:14:54.615303: train loss : -0.6959 
+2026-10-18 13:14:59.947744: validation loss: -0.6623 
+2026-10-18 13:14:59.948752: Average global foreground Dice: [np.float32(0.8964), np.float32(0.7469), np.float32(0.8605), np.float32(0.8776), np.float32(0.8406), np.float32(0.9326), np.float32(0.8756), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.774), np.float32(0.8169), np.float32(0.6609), np.float32(0.615), np.float32(0.0), np.float32(0.0), np.float32(0.8238), np.float32(0.6501), np.float32(0.8397), np.float32(0.7355), np.float32(0.4203), np.float32(0.7607), np.float32(0.9175), np.float32(0.8817), np.float32(0.6783), np.float32(0.646), np.float32(0.2853), np.float32(0.7126), np.float32(0.4999), np.float32(0.6817), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9526), np.float32(0.961)] 
+2026-10-18 13:14:59.949027: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 13:15:00.225615: lr: 0.000939 
+2026-10-18 13:15:00.234710: saving checkpoint... 
+2026-10-18 13:15:00.362973: done, saving took 0.14 seconds 
+2026-10-18 13:15:00.364482: This epoch took 254.355489 s
+ 
+2026-10-18 13:15:00.364681: 
+epoch:  68 
+2026-10-18 13:19:00.253232: train loss : -0.7019 
+2026-10-18 13:19:05.626722: validation loss: -0.6751 
+2026-10-18 13:19:05.627851: Average global foreground Dice: [np.float32(0.921), np.float32(0.7399), np.float32(0.8561), np.float32(0.8775), np.float32(0.7951), np.float32(0.9239), np.float32(0.8715), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7679), np.float32(0.7796), np.float32(0.6931), np.float32(0.6109), np.float32(0.0), np.float32(0.0), np.float32(0.8295), np.float32(0.6712), np.float32(0.8406), np.float32(0.7416), np.float32(0.5917), np.float32(0.7506), np.float32(0.882), np.float32(0.8934), np.float32(0.6699), np.float32(0.6792), np.float32(0.2022), np.float32(0.7524), np.float32(0.6636), np.float32(0.768), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9453), np.float32(0.9647)] 
+2026-10-18 13:19:05.628248: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 13:19:05.925605: lr: 0.000938 
+2026-10-18 13:19:05.933863: saving checkpoint... 
+2026-10-18 13:19:06.068280: done, saving took 0.14 seconds 
+2026-10-18 13:19:06.069750: This epoch took 245.704974 s
+ 
+2026-10-18 13:19:06.069957: 
+epoch:  69 
+2026-10-18 13:22:47.013885: train loss : -0.7024 
+2026-10-18 13:22:52.352202: validation loss: -0.6726 
+2026-10-18 13:22:52.353294: Average global foreground Dice: [np.float32(0.9294), np.float32(0.7253), np.float32(0.8521), np.float32(0.8693), np.float32(0.8216), np.float32(0.933), np.float32(0.8577), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7557), np.float32(0.7926), np.float32(0.6616), np.float32(0.6074), np.float32(0.0), np.float32(0.0), np.float32(0.8166), np.float32(0.6314), np.float32(0.8294), np.float32(0.6964), np.float32(0.4484), np.float32(0.7922), np.float32(0.9061), np.float32(0.8855), np.float32(0.6803), np.float32(0.6675), np.float32(0.4132), np.float32(0.8181), np.float32(0.5704), np.float32(0.7013), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9469), np.float32(0.9652)] 
+2026-10-18 13:22:52.353681: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 13:22:52.631186: lr: 0.000937 
+2026-10-18 13:22:52.639408: saving checkpoint... 
+2026-10-18 13:22:52.763698: done, saving took 0.13 seconds 
+2026-10-18 13:22:52.765027: This epoch took 226.694895 s
+ 
+2026-10-18 13:22:52.765171: 
+epoch:  70 
+2026-10-18 13:26:29.869240: train loss : -0.7155 
+2026-10-18 13:26:35.216076: validation loss: -0.6816 
+2026-10-18 13:26:35.217046: Average global foreground Dice: [np.float32(0.9415), np.float32(0.7256), np.float32(0.8588), np.float32(0.8769), np.float32(0.8256), np.float32(0.9315), np.float32(0.8827), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7384), np.float32(0.7715), np.float32(0.6901), np.float32(0.6021), np.float32(0.0), np.float32(0.0), np.float32(0.8283), np.float32(0.6556), np.float32(0.8424), np.float32(0.7016), np.float32(0.3876), np.float32(0.7878), np.float32(0.9063), np.float32(0.9052), np.float32(0.6397), np.float32(0.6411), np.float32(0.3557), np.float32(0.6166), np.float32(0.6154), np.float32(0.7474), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9465), np.float32(0.9657)] 
+2026-10-18 13:26:35.217221: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 13:26:35.502363: lr: 0.000936 
+2026-10-18 13:26:35.510096: saving checkpoint... 
+2026-10-18 13:26:35.633115: done, saving took 0.13 seconds 
+2026-10-18 13:26:35.634349: This epoch took 222.869020 s
+ 
+2026-10-18 13:26:35.634583: 
+epoch:  71 
+2026-10-18 13:30:18.824291: train loss : -0.7098 
+2026-10-18 13:30:24.169084: validation loss: -0.6805 
+2026-10-18 13:30:24.169972: Average global foreground Dice: [np.float32(0.929), np.float32(0.7632), np.float32(0.8663), np.float32(0.8158), np.float32(0.7848), np.float32(0.8929), np.float32(0.8743), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7434), np.float32(0.8059), np.float32(0.7096), np.float32(0.6015), np.float32(0.0), np.float32(0.0), np.float32(0.8115), np.float32(0.6032), np.float32(0.8322), np.float32(0.6638), np.float32(0.3919), np.float32(0.7872), np.float32(0.9216), np.float32(0.9091), np.float32(0.7061), np.float32(0.6768), np.float32(0.4156), np.float32(0.6937), np.float32(0.5926), np.float32(0.7166), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.909), np.float32(0.9405)] 
+2026-10-18 13:30:24.170336: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 13:30:24.448511: lr: 0.000935 
+2026-10-18 13:30:24.456754: saving checkpoint... 
+2026-10-18 13:30:24.580683: done, saving took 0.13 seconds 
+2026-10-18 13:30:24.581879: This epoch took 228.947168 s
+ 
+2026-10-18 13:30:24.581995: 
+epoch:  72 
+2026-10-18 13:34:33.332304: train loss : -0.7100 
+2026-10-18 13:34:38.679338: validation loss: -0.6815 
+2026-10-18 13:34:38.680363: Average global foreground Dice: [np.float32(0.9392), np.float32(0.7379), np.float32(0.8746), np.float32(0.8716), np.float32(0.7705), np.float32(0.9314), np.float32(0.8914), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7546), np.float32(0.7948), np.float32(0.6866), np.float32(0.6086), np.float32(0.0), np.float32(0.0), np.float32(0.8147), np.float32(0.6534), np.float32(0.841), np.float32(0.7005), np.float32(0.4234), np.float32(0.7624), np.float32(0.9255), np.float32(0.9117), np.float32(0.6481), np.float32(0.6737), np.float32(0.3821), np.float32(0.7912), np.float32(0.6593), np.float32(0.6975), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9504), np.float32(0.9676)] 
+2026-10-18 13:34:38.680819: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 13:34:38.973994: lr: 0.000934 
+2026-10-18 13:34:38.982523: saving checkpoint... 
+2026-10-18 13:34:39.105874: done, saving took 0.13 seconds 
+2026-10-18 13:34:39.107122: This epoch took 254.525071 s
+ 
+2026-10-18 13:34:39.107289: 
+epoch:  73 
+2026-10-18 13:38:39.140340: train loss : -0.7163 
+2026-10-18 13:38:44.490272: validation loss: -0.6894 
+2026-10-18 13:38:44.491362: Average global foreground Dice: [np.float32(0.9424), np.float32(0.7464), np.float32(0.8607), np.float32(0.8858), np.float32(0.8104), np.float32(0.9332), np.float32(0.8868), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7701), np.float32(0.8067), np.float32(0.6927), np.float32(0.5643), np.float32(0.0), np.float32(0.0), np.float32(0.8205), np.float32(0.6667), np.float32(0.8371), np.float32(0.7014), np.float32(0.5653), np.float32(0.792), np.float32(0.9245), np.float32(0.9077), np.float32(0.7008), np.float32(0.6421), np.float32(0.4105), np.float32(0.7059), np.float32(0.6185), np.float32(0.7392), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9566), np.float32(0.9678)] 
+2026-10-18 13:38:44.491789: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 13:38:44.770684: lr: 0.000933 
+2026-10-18 13:38:44.780097: saving checkpoint... 
+2026-10-18 13:38:44.903768: done, saving took 0.13 seconds 
+2026-10-18 13:38:44.905292: This epoch took 245.797930 s
+ 
+2026-10-18 13:38:44.905498: 
+epoch:  74 
+2026-10-18 13:42:40.284939: train loss : -0.7175 
+2026-10-18 13:42:45.639249: validation loss: -0.6823 
+2026-10-18 13:42:45.640383: Average global foreground Dice: [np.float32(0.9304), np.float32(0.6821), np.float32(0.8615), np.float32(0.8755), np.float32(0.8121), np.float32(0.933), np.float32(0.8698), np.float32(0.0013), np.float32(0.0), np.float32(0.0), np.float32(0.7466), np.float32(0.7986), np.float32(0.697), np.float32(0.6036), np.float32(0.0), np.float32(0.0), np.float32(0.8365), np.float32(0.6922), np.float32(0.8365), np.float32(0.7092), np.float32(0.4278), np.float32(0.8022), np.float32(0.9118), np.float32(0.8864), np.float32(0.6425), np.float32(0.6979), np.float32(0.4233), np.float32(0.8224), np.float32(0.574), np.float32(0.7082), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9562), np.float32(0.9682)] 
+2026-10-18 13:42:45.640782: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 13:42:45.931053: lr: 0.000932 
+2026-10-18 13:42:45.940423: saving checkpoint... 
+2026-10-18 13:42:46.070678: done, saving took 0.14 seconds 
+2026-10-18 13:42:46.071885: This epoch took 241.166317 s
+ 
+2026-10-18 13:42:46.072091: 
+epoch:  75 
+2026-10-18 13:46:21.612216: train loss : -0.7241 
+2026-10-18 13:46:26.960586: validation loss: -0.6784 
+2026-10-18 13:46:26.961872: Average global foreground Dice: [np.float32(0.933), np.float32(0.6697), np.float32(0.8545), np.float32(0.8558), np.float32(0.824), np.float32(0.9358), np.float32(0.8833), np.float32(0.0258), np.float32(0.0), np.float32(0.0), np.float32(0.7493), np.float32(0.8103), np.float32(0.6957), np.float32(0.588), np.float32(0.0), np.float32(0.0), np.float32(0.834), np.float32(0.6918), np.float32(0.8434), np.float32(0.7509), np.float32(0.2883), np.float32(0.8099), np.float32(0.914), np.float32(0.9143), np.float32(0.6465), np.float32(0.6835), np.float32(0.385), np.float32(0.7716), np.float32(0.5977), np.float32(0.7021), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9303), np.float32(0.967)] 
+2026-10-18 13:46:26.962101: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 13:46:27.244103: lr: 0.000931 
+2026-10-18 13:46:27.259187: saving checkpoint... 
+2026-10-18 13:46:27.390394: done, saving took 0.15 seconds 
+2026-10-18 13:46:27.391598: This epoch took 221.319427 s
+ 
+2026-10-18 13:46:27.391774: 
+epoch:  76 
+2026-10-18 13:50:25.385877: train loss : -0.7187 
+2026-10-18 13:50:30.708504: validation loss: -0.6896 
+2026-10-18 13:50:30.709666: Average global foreground Dice: [np.float32(0.9141), np.float32(0.7175), np.float32(0.8571), np.float32(0.8806), np.float32(0.8528), np.float32(0.9056), np.float32(0.8581), np.float32(0.4188), np.float32(0.0), np.float32(0.0), np.float32(0.7384), np.float32(0.7847), np.float32(0.6835), np.float32(0.5629), np.float32(0.0), np.float32(0.0), np.float32(0.8356), np.float32(0.6743), np.float32(0.8344), np.float32(0.7258), np.float32(0.6002), np.float32(0.7614), np.float32(0.9277), np.float32(0.8891), np.float32(0.6905), np.float32(0.6618), np.float32(0.4396), np.float32(0.8071), np.float32(0.6826), np.float32(0.7246), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9363), np.float32(0.9612)] 
+2026-10-18 13:50:30.709912: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 13:50:30.987312: lr: 0.00093 
+2026-10-18 13:50:30.995463: saving checkpoint... 
+2026-10-18 13:50:31.116963: done, saving took 0.13 seconds 
+2026-10-18 13:50:31.118561: This epoch took 243.726615 s
+ 
+2026-10-18 13:50:31.118657: 
+epoch:  77 
+2026-10-18 13:54:24.004580: train loss : -0.7211 
+2026-10-18 13:54:29.338090: validation loss: -0.6798 
+2026-10-18 13:54:29.340543: Average global foreground Dice: [np.float32(0.924), np.float32(0.675), np.float32(0.8457), np.float32(0.8445), np.float32(0.7452), np.float32(0.903), np.float32(0.8931), np.float32(0.0157), np.float32(0.0), np.float32(0.0), np.float32(0.7464), np.float32(0.818), np.float32(0.6866), np.float32(0.6563), np.float32(0.0), np.float32(0.0), np.float32(0.8029), np.float32(0.6344), np.float32(0.8333), np.float32(0.7198), np.float32(0.2487), np.float32(0.766), np.float32(0.9233), np.float32(0.8935), np.float32(0.6397), np.float32(0.6868), np.float32(0.4521), np.float32(0.6716), np.float32(0.6149), np.float32(0.7069), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9201), np.float32(0.9504)] 
+2026-10-18 13:54:29.340990: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 13:54:29.625942: lr: 0.00093 
+2026-10-18 13:54:29.626463: This epoch took 238.507751 s
+ 
+2026-10-18 13:54:29.626619: 
+epoch:  78 
+2026-10-18 13:58:25.885291: train loss : -0.7201 
+2026-10-18 13:58:31.217180: validation loss: -0.6849 
+2026-10-18 13:58:31.218544: Average global foreground Dice: [np.float32(0.9408), np.float32(0.6769), np.float32(0.8714), np.float32(0.8806), np.float32(0.798), np.float32(0.9264), np.float32(0.8635), np.float32(0.6554), np.float32(0.0), np.float32(0.0), np.float32(0.776), np.float32(0.8169), np.float32(0.651), np.float32(0.5229), np.float32(0.0), np.float32(0.0), np.float32(0.8347), np.float32(0.6758), np.float32(0.8384), np.float32(0.7051), np.float32(0.3368), np.float32(0.7647), np.float32(0.917), np.float32(0.9202), np.float32(0.6616), np.float32(0.6933), np.float32(0.3875), np.float32(0.8566), np.float32(0.5873), np.float32(0.6823), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9453), np.float32(0.9678)] 
+2026-10-18 13:58:31.218907: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 13:58:31.511102: lr: 0.000929 
+2026-10-18 13:58:31.519788: saving checkpoint... 
+2026-10-18 13:58:31.642973: done, saving took 0.13 seconds 
+2026-10-18 13:58:31.644667: This epoch took 242.017966 s
+ 
+2026-10-18 13:58:31.644864: 
+epoch:  79 
+2026-10-18 14:02:17.500574: train loss : -0.7172 
+2026-10-18 14:02:22.851116: validation loss: -0.6843 
+2026-10-18 14:02:22.852592: Average global foreground Dice: [np.float32(0.9395), np.float32(0.6979), np.float32(0.8655), np.float32(0.8793), np.float32(0.8304), np.float32(0.9336), np.float32(0.8819), np.float32(0.3442), np.float32(0.0), np.float32(0.0), np.float32(0.7698), np.float32(0.8195), np.float32(0.6748), np.float32(0.6013), np.float32(0.0), np.float32(0.0), np.float32(0.8257), np.float32(0.661), np.float32(0.8352), np.float32(0.6744), np.float32(0.4642), np.float32(0.7681), np.float32(0.9177), np.float32(0.902), np.float32(0.6539), np.float32(0.6678), np.float32(0.3854), np.float32(0.7429), np.float32(0.6518), np.float32(0.7785), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9464), np.float32(0.9662)] 
+2026-10-18 14:02:22.852872: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 14:02:23.137029: lr: 0.000928 
+2026-10-18 14:02:23.145362: saving checkpoint... 
+2026-10-18 14:02:23.266301: done, saving took 0.13 seconds 
+2026-10-18 14:02:23.268394: This epoch took 231.623416 s
+ 
+2026-10-18 14:02:23.268550: 
+epoch:  80 
+2026-10-18 14:06:20.353976: train loss : -0.7150 
+2026-10-18 14:06:25.721575: validation loss: -0.6681 
+2026-10-18 14:06:25.722721: Average global foreground Dice: [np.float32(0.9301), np.float32(0.6884), np.float32(0.8591), np.float32(0.8449), np.float32(0.8214), np.float32(0.9209), np.float32(0.8738), np.float32(0.3354), np.float32(0.0), np.float32(0.0), np.float32(0.7392), np.float32(0.8167), np.float32(0.7131), np.float32(0.6319), np.float32(0.0), np.float32(0.0), np.float32(0.8138), np.float32(0.6276), np.float32(0.8321), np.float32(0.6606), np.float32(0.394), np.float32(0.79), np.float32(0.9187), np.float32(0.8953), np.float32(0.627), np.float32(0.6884), np.float32(0.3261), np.float32(0.5776), np.float32(0.4775), np.float32(0.5501), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.939), np.float32(0.966)] 
+2026-10-18 14:06:25.722979: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 14:06:26.008166: lr: 0.000927 
+2026-10-18 14:06:26.008784: This epoch took 242.740120 s
+ 
+2026-10-18 14:06:26.008916: 
+epoch:  81 
+2026-10-18 14:10:26.026352: train loss : -0.7140 
+2026-10-18 14:10:31.367847: validation loss: -0.6857 
+2026-10-18 14:10:31.368706: Average global foreground Dice: [np.float32(0.9263), np.float32(0.7202), np.float32(0.8731), np.float32(0.8868), np.float32(0.8203), np.float32(0.9257), np.float32(0.8699), np.float32(0.5523), np.float32(0.0), np.float32(0.0), np.float32(0.7571), np.float32(0.8228), np.float32(0.6897), np.float32(0.6004), np.float32(0.0), np.float32(0.0), np.float32(0.8284), np.float32(0.6645), np.float32(0.8328), np.float32(0.7256), np.float32(0.4265), np.float32(0.7898), np.float32(0.9068), np.float32(0.918), np.float32(0.6892), np.float32(0.641), np.float32(0.3566), np.float32(0.8463), np.float32(0.5441), np.float32(0.7195), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9548), np.float32(0.9629)] 
+2026-10-18 14:10:31.368869: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 14:10:31.658607: lr: 0.000926 
+2026-10-18 14:10:31.666632: saving checkpoint... 
+2026-10-18 14:10:31.902868: done, saving took 0.24 seconds 
+2026-10-18 14:10:31.904788: This epoch took 245.895596 s
+ 
+2026-10-18 14:10:31.904980: 
+epoch:  82 
+2026-10-18 14:14:46.233357: train loss : -0.7161 
+2026-10-18 14:14:51.579163: validation loss: -0.6861 
+2026-10-18 14:14:51.580283: Average global foreground Dice: [np.float32(0.9373), np.float32(0.6844), np.float32(0.8663), np.float32(0.8722), np.float32(0.7925), np.float32(0.9329), np.float32(0.8819), np.float32(0.0588), np.float32(0.0), np.float32(0.0), np.float32(0.7609), np.float32(0.8143), np.float32(0.6767), np.float32(0.6036), np.float32(0.0), np.float32(0.0), np.float32(0.8306), np.float32(0.6585), np.float32(0.8448), np.float32(0.704), np.float32(0.3585), np.float32(0.7898), np.float32(0.9167), np.float32(0.9133), np.float32(0.6771), np.float32(0.6809), np.float32(0.3393), np.float32(0.6995), np.float32(0.6236), np.float32(0.7383), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.949), np.float32(0.9681)] 
+2026-10-18 14:14:51.580742: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 14:14:51.861355: lr: 0.000925 
+2026-10-18 14:14:51.870578: saving checkpoint... 
+2026-10-18 14:14:51.991306: done, saving took 0.13 seconds 
+2026-10-18 14:14:51.993208: This epoch took 260.088141 s
+ 
+2026-10-18 14:14:51.993355: 
+epoch:  83 
+2026-10-18 14:18:57.212334: train loss : -0.7005 
+2026-10-18 14:19:02.562476: validation loss: -0.6658 
+2026-10-18 14:19:02.563807: Average global foreground Dice: [np.float32(0.9196), np.float32(0.6868), np.float32(0.8453), np.float32(0.8659), np.float32(0.7859), np.float32(0.9286), np.float32(0.8729), np.float32(0.5954), np.float32(0.0), np.float32(0.0), np.float32(0.7295), np.float32(0.8151), np.float32(0.6761), np.float32(0.5119), np.float32(0.0), np.float32(0.0), np.float32(0.8162), np.float32(0.5382), np.float32(0.8205), np.float32(0.6977), np.float32(0.4304), np.float32(0.753), np.float32(0.8784), np.float32(0.8514), np.float32(0.6404), np.float32(0.6339), np.float32(0.1276), np.float32(0.4473), np.float32(0.4886), np.float32(0.7095), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9377), np.float32(0.9564)] 
+2026-10-18 14:19:02.564128: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 14:19:02.845238: lr: 0.000924 
+2026-10-18 14:19:02.845694: This epoch took 250.852271 s
+ 
+2026-10-18 14:19:02.846015: 
+epoch:  84 
+2026-10-18 14:22:52.680632: train loss : -0.7127 
+2026-10-18 14:22:58.015271: validation loss: -0.6806 
+2026-10-18 14:22:58.016302: Average global foreground Dice: [np.float32(0.9153), np.float32(0.7172), np.float32(0.8395), np.float32(0.8616), np.float32(0.7994), np.float32(0.9318), np.float32(0.8722), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7521), np.float32(0.8141), np.float32(0.6783), np.float32(0.6098), np.float32(0.0), np.float32(0.0), np.float32(0.8087), np.float32(0.6358), np.float32(0.8344), np.float32(0.7421), np.float32(0.4647), np.float32(0.792), np.float32(0.9146), np.float32(0.8679), np.float32(0.649), np.float32(0.6918), np.float32(0.3089), np.float32(0.8498), np.float32(0.5293), np.float32(0.6543), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9546), np.float32(0.9641)] 
+2026-10-18 14:22:58.016498: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 14:22:58.309284: lr: 0.000923 
+2026-10-18 14:22:58.309705: This epoch took 235.463178 s
+ 
+2026-10-18 14:22:58.309982: 
+epoch:  85 
+2026-10-18 14:27:04.792546: train loss : -0.7142 
+2026-10-18 14:27:10.139011: validation loss: -0.6852 
+2026-10-18 14:27:10.139948: Average global foreground Dice: [np.float32(0.9022), np.float32(0.7283), np.float32(0.8624), np.float32(0.885), np.float32(0.8261), np.float32(0.9307), np.float32(0.8411), np.float32(0.4839), np.float32(0.0), np.float32(0.0), np.float32(0.7467), np.float32(0.8129), np.float32(0.6906), np.float32(0.6167), np.float32(0.0), np.float32(0.0), np.float32(0.8271), np.float32(0.6477), np.float32(0.8294), np.float32(0.7157), np.float32(0.4119), np.float32(0.7831), np.float32(0.9235), np.float32(0.8847), np.float32(0.676), np.float32(0.6174), np.float32(0.1004), np.float32(0.8093), np.float32(0.5467), np.float32(0.7355), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9503), np.float32(0.9588)] 
+2026-10-18 14:27:10.140120: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 14:27:10.425812: lr: 0.000922 
+2026-10-18 14:27:10.426273: This epoch took 252.116112 s
+ 
+2026-10-18 14:27:10.426600: 
+epoch:  86 
+2026-10-18 14:30:45.433600: train loss : -0.7248 
+2026-10-18 14:30:50.779699: validation loss: -0.6843 
+2026-10-18 14:30:50.780866: Average global foreground Dice: [np.float32(0.9241), np.float32(0.7298), np.float32(0.809), np.float32(0.8987), np.float32(0.8371), np.float32(0.9308), np.float32(0.8827), np.float32(0.7369), np.float32(0.0), np.float32(0.0), np.float32(0.7632), np.float32(0.7721), np.float32(0.6657), np.float32(0.5903), np.float32(0.0), np.float32(0.0), np.float32(0.8164), np.float32(0.6268), np.float32(0.8372), np.float32(0.6893), np.float32(0.4017), np.float32(0.7676), np.float32(0.903), np.float32(0.8611), np.float32(0.641), np.float32(0.6469), np.float32(0.262), np.float32(0.856), np.float32(0.6061), np.float32(0.7025), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9442), np.float32(0.9641)] 
+2026-10-18 14:30:50.781395: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 14:30:51.072347: lr: 0.000921 
+2026-10-18 14:30:51.080861: saving checkpoint... 
+2026-10-18 14:30:51.218815: done, saving took 0.15 seconds 
+2026-10-18 14:30:51.220008: This epoch took 220.793253 s
+ 
+2026-10-18 14:30:51.220156: 
+epoch:  87 
+2026-10-18 14:34:35.637038: train loss : -0.7253 
+2026-10-18 14:34:41.011405: validation loss: -0.6801 
+2026-10-18 14:34:41.012680: Average global foreground Dice: [np.float32(0.9385), np.float32(0.7029), np.float32(0.8401), np.float32(0.8734), np.float32(0.8178), np.float32(0.9348), np.float32(0.8634), np.float32(0.7207), np.float32(0.0), np.float32(0.0), np.float32(0.7503), np.float32(0.8056), np.float32(0.6887), np.float32(0.6179), np.float32(0.0), np.float32(0.0), np.float32(0.8209), np.float32(0.6335), np.float32(0.8329), np.float32(0.7079), np.float32(0.5354), np.float32(0.7729), np.float32(0.9169), np.float32(0.9168), np.float32(0.6453), np.float32(0.6437), np.float32(0.361), np.float32(0.8134), np.float32(0.5087), np.float32(0.6428), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9517), np.float32(0.9678)] 
+2026-10-18 14:34:41.012905: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 14:34:41.311173: lr: 0.00092 
+2026-10-18 14:34:41.319951: saving checkpoint... 
+2026-10-18 14:34:41.451154: done, saving took 0.14 seconds 
+2026-10-18 14:34:41.452436: This epoch took 230.232200 s
+ 
+2026-10-18 14:34:41.452569: 
+epoch:  88 
+2026-10-18 14:38:28.243176: train loss : -0.7268 
+2026-10-18 14:38:33.590540: validation loss: -0.6786 
+2026-10-18 14:38:33.591422: Average global foreground Dice: [np.float32(0.9326), np.float32(0.7156), np.float32(0.8713), np.float32(0.8625), np.float32(0.7965), np.float32(0.9276), np.float32(0.8688), np.float32(0.4184), np.float32(0.0), np.float32(0.0), np.float32(0.7329), np.float32(0.8266), np.float32(0.6926), np.float32(0.5086), np.float32(0.0), np.float32(0.0), np.float32(0.8375), np.float32(0.6466), np.float32(0.8382), np.float32(0.7099), np.float32(0.5247), np.float32(0.7696), np.float32(0.9264), np.float32(0.915), np.float32(0.6869), np.float32(0.6599), np.float32(0.3798), np.float32(0.8465), np.float32(0.6428), np.float32(0.753), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9376), np.float32(0.9573)] 
+2026-10-18 14:38:33.591573: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 14:38:33.871307: lr: 0.00092 
+2026-10-18 14:38:33.879690: saving checkpoint... 
+2026-10-18 14:38:34.003993: done, saving took 0.13 seconds 
+2026-10-18 14:38:34.005199: This epoch took 232.552477 s
+ 
+2026-10-18 14:38:34.005352: 
+epoch:  89 
+2026-10-18 14:42:06.653124: train loss : -0.7232 
+2026-10-18 14:42:12.025014: validation loss: -0.6744 
+2026-10-18 14:42:12.026185: Average global foreground Dice: [np.float32(0.9334), np.float32(0.7184), np.float32(0.8552), np.float32(0.8698), np.float32(0.7794), np.float32(0.9357), np.float32(0.8773), np.float32(0.3661), np.float32(0.0), np.float32(0.0), np.float32(0.7578), np.float32(0.7793), np.float32(0.6732), np.float32(0.6168), np.float32(0.0), np.float32(0.0), np.float32(0.8266), np.float32(0.6847), np.float32(0.8463), np.float32(0.7202), np.float32(0.3999), np.float32(0.7352), np.float32(0.9007), np.float32(0.899), np.float32(0.6763), np.float32(0.6635), np.float32(0.3751), np.float32(0.7881), np.float32(0.5867), np.float32(0.7694), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9324), np.float32(0.9681)] 
+2026-10-18 14:42:12.026470: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 14:42:12.301170: lr: 0.000919 
+2026-10-18 14:42:12.309566: saving checkpoint... 
+2026-10-18 14:42:12.439068: done, saving took 0.14 seconds 
+2026-10-18 14:42:12.440486: This epoch took 218.434975 s
+ 
+2026-10-18 14:42:12.440735: 
+epoch:  90 
+2026-10-18 14:46:06.146930: train loss : -0.7234 
+2026-10-18 14:46:11.484051: validation loss: -0.6823 
+2026-10-18 14:46:11.485010: Average global foreground Dice: [np.float32(0.9275), np.float32(0.7161), np.float32(0.8235), np.float32(0.8589), np.float32(0.7869), np.float32(0.9274), np.float32(0.8598), np.float32(0.4688), np.float32(0.0), np.float32(0.0), np.float32(0.7581), np.float32(0.7912), np.float32(0.7267), np.float32(0.5956), np.float32(0.0), np.float32(0.0), np.float32(0.8079), np.float32(0.6212), np.float32(0.8228), np.float32(0.681), np.float32(0.4373), np.float32(0.7395), np.float32(0.8982), np.float32(0.891), np.float32(0.6464), np.float32(0.633), np.float32(0.3775), np.float32(0.3382), np.float32(0.6039), np.float32(0.7138), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9415), np.float32(0.9655)] 
+2026-10-18 14:46:11.485219: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 14:46:11.764052: lr: 0.000918 
+2026-10-18 14:46:11.764286: This epoch took 239.323452 s
+ 
+2026-10-18 14:46:11.764356: 
+epoch:  91 
+2026-10-18 14:50:25.787299: train loss : -0.7283 
+2026-10-18 14:50:31.136460: validation loss: -0.6738 
+2026-10-18 14:50:31.137705: Average global foreground Dice: [np.float32(0.9289), np.float32(0.7164), np.float32(0.8542), np.float32(0.8662), np.float32(0.8012), np.float32(0.9314), np.float32(0.8653), np.float32(0.6066), np.float32(0.0), np.float32(0.0), np.float32(0.7511), np.float32(0.8085), np.float32(0.6909), np.float32(0.5538), np.float32(0.0), np.float32(0.0), np.float32(0.8244), np.float32(0.6507), np.float32(0.8294), np.float32(0.7009), np.float32(0.3681), np.float32(0.7791), np.float32(0.8272), np.float32(0.8341), np.float32(0.6595), np.float32(0.6775), np.float32(0.1173), np.float32(0.7315), np.float32(0.593), np.float32(0.7133), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9346), np.float32(0.9586)] 
+2026-10-18 14:50:31.137889: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 14:50:31.414624: lr: 0.000917 
+2026-10-18 14:50:31.414877: This epoch took 259.650353 s
+ 
+2026-10-18 14:50:31.414954: 
+epoch:  92 
+2026-10-18 14:54:23.105176: train loss : -0.7172 
+2026-10-18 14:54:28.449832: validation loss: -0.6871 
+2026-10-18 14:54:28.451004: Average global foreground Dice: [np.float32(0.9281), np.float32(0.7152), np.float32(0.8544), np.float32(0.8886), np.float32(0.8254), np.float32(0.9363), np.float32(0.8756), np.float32(0.3923), np.float32(0.0), np.float32(0.0), np.float32(0.7529), np.float32(0.8012), np.float32(0.6833), np.float32(0.5709), np.float32(0.0), np.float32(0.0), np.float32(0.8325), np.float32(0.6712), np.float32(0.8501), np.float32(0.7235), np.float32(0.351), np.float32(0.7521), np.float32(0.9292), np.float32(0.9137), np.float32(0.625), np.float32(0.6758), np.float32(0.3623), np.float32(0.7477), np.float32(0.576), np.float32(0.7053), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9513), np.float32(0.9679)] 
+2026-10-18 14:54:28.451465: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 14:54:28.744891: lr: 0.000916 
+2026-10-18 14:54:28.745347: This epoch took 237.330332 s
+ 
+2026-10-18 14:54:28.745617: 
+epoch:  93 
+2026-10-18 14:58:36.754666: train loss : -0.7229 
+2026-10-18 14:58:42.107852: validation loss: -0.6731 
+2026-10-18 14:58:42.108838: Average global foreground Dice: [np.float32(0.9133), np.float32(0.6812), np.float32(0.8296), np.float32(0.8571), np.float32(0.7546), np.float32(0.9352), np.float32(0.8766), np.float32(0.5926), np.float32(0.0), np.float32(0.0), np.float32(0.7392), np.float32(0.7872), np.float32(0.6597), np.float32(0.6), np.float32(0.0), np.float32(0.0), np.float32(0.8217), np.float32(0.6815), np.float32(0.8277), np.float32(0.7082), np.float32(0.3604), np.float32(0.7839), np.float32(0.8302), np.float32(0.8536), np.float32(0.5915), np.float32(0.6346), np.float32(0.2406), np.float32(0.8173), np.float32(0.5919), np.float32(0.7513), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.941), np.float32(0.9606)] 
+2026-10-18 14:58:42.109214: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 14:58:42.437333: lr: 0.000915 
+2026-10-18 14:58:42.437824: This epoch took 253.692036 s
+ 
+2026-10-18 14:58:42.438163: 
+epoch:  94 
+2026-10-18 15:02:49.857925: train loss : -0.7218 
+2026-10-18 15:02:55.193156: validation loss: -0.6834 
+2026-10-18 15:02:55.194239: Average global foreground Dice: [np.float32(0.9026), np.float32(0.6792), np.float32(0.835), np.float32(0.8347), np.float32(0.8066), np.float32(0.9211), np.float32(0.864), np.float32(0.7928), np.float32(0.0), np.float32(0.0), np.float32(0.7369), np.float32(0.8204), np.float32(0.7278), np.float32(0.6651), np.float32(0.0), np.float32(0.0), np.float32(0.8139), np.float32(0.6653), np.float32(0.8019), np.float32(0.6518), np.float32(0.2982), np.float32(0.7237), np.float32(0.9199), np.float32(0.8794), np.float32(0.5594), np.float32(0.6636), np.float32(0.4607), np.float32(0.5922), np.float32(0.6516), np.float32(0.6769), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9468), np.float32(0.9603)] 
+2026-10-18 15:02:55.194569: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 15:02:55.473985: lr: 0.000914 
+2026-10-18 15:02:55.474416: This epoch took 253.036029 s
+ 
+2026-10-18 15:02:55.474718: 
+epoch:  95 
+2026-10-18 15:06:41.510344: train loss : -0.7323 
+2026-10-18 15:06:46.856943: validation loss: -0.6980 
+2026-10-18 15:06:46.857924: Average global foreground Dice: [np.float32(0.9408), np.float32(0.7134), np.float32(0.8674), np.float32(0.885), np.float32(0.8276), np.float32(0.939), np.float32(0.8824), np.float32(0.6663), np.float32(0.0), np.float32(0.0), np.float32(0.7709), np.float32(0.8148), np.float32(0.6733), np.float32(0.5392), np.float32(0.0), np.float32(0.0), np.float32(0.8419), np.float32(0.6968), np.float32(0.8524), np.float32(0.7304), np.float32(0.3935), np.float32(0.7889), np.float32(0.9342), np.float32(0.9232), np.float32(0.6608), np.float32(0.6987), np.float32(0.4175), np.float32(0.8433), np.float32(0.6344), np.float32(0.7769), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9511), np.float32(0.967)] 
+2026-10-18 15:06:46.858326: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 15:06:47.138170: lr: 0.000913 
+2026-10-18 15:06:47.146045: saving checkpoint... 
+2026-10-18 15:06:47.274594: done, saving took 0.14 seconds 
+2026-10-18 15:06:47.275891: This epoch took 231.800938 s
+ 
+2026-10-18 15:06:47.276077: 
+epoch:  96 
+2026-10-18 15:10:50.609653: train loss : -0.7297 
+2026-10-18 15:10:55.945287: validation loss: -0.6867 
+2026-10-18 15:10:55.946349: Average global foreground Dice: [np.float32(0.9277), np.float32(0.7117), np.float32(0.8487), np.float32(0.8657), np.float32(0.7846), np.float32(0.9288), np.float32(0.8878), np.float32(0.7333), np.float32(0.0), np.float32(0.0), np.float32(0.754), np.float32(0.8105), np.float32(0.7136), np.float32(0.6323), np.float32(0.0), np.float32(0.0), np.float32(0.8325), np.float32(0.692), np.float32(0.8502), np.float32(0.7313), np.float32(0.3623), np.float32(0.8163), np.float32(0.9072), np.float32(0.8933), np.float32(0.6558), np.float32(0.6913), np.float32(0.3107), np.float32(0.851), np.float32(0.5701), np.float32(0.6758), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9312), np.float32(0.9656)] 
+2026-10-18 15:10:55.946580: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 15:10:56.233376: lr: 0.000912 
+2026-10-18 15:10:56.241062: saving checkpoint... 
+2026-10-18 15:10:56.365472: done, saving took 0.13 seconds 
+2026-10-18 15:10:56.366722: This epoch took 249.090476 s
+ 
+2026-10-18 15:10:56.366848: 
+epoch:  97 
+2026-10-18 15:14:58.206519: train loss : -0.7321 
+2026-10-18 15:15:03.565331: validation loss: -0.6633 
+2026-10-18 15:15:03.566316: Average global foreground Dice: [np.float32(0.8833), np.float32(0.7297), np.float32(0.8292), np.float32(0.8504), np.float32(0.8244), np.float32(0.9206), np.float32(0.8663), np.float32(0.7527), np.float32(0.0), np.float32(0.0), np.float32(0.7854), np.float32(0.8417), np.float32(0.7216), np.float32(0.6875), np.float32(0.0), np.float32(0.0), np.float32(0.8182), np.float32(0.6024), np.float32(0.8315), np.float32(0.6751), np.float32(0.3733), np.float32(0.7099), np.float32(0.9042), np.float32(0.8623), np.float32(0.6313), np.float32(0.6358), np.float32(0.2504), np.float32(0.8185), np.float32(0.4797), np.float32(0.2808), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9424), np.float32(0.9624)] 
+2026-10-18 15:15:03.566628: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 15:15:03.849494: lr: 0.000911 
+2026-10-18 15:15:03.849806: This epoch took 247.482827 s
+ 
+2026-10-18 15:15:03.849957: 
+epoch:  98 
+2026-10-18 15:19:13.306251: train loss : -0.7292 
+2026-10-18 15:19:18.648983: validation loss: -0.6848 
+2026-10-18 15:19:18.650043: Average global foreground Dice: [np.float32(0.923), np.float32(0.7337), np.float32(0.8464), np.float32(0.8709), np.float32(0.7877), np.float32(0.9301), np.float32(0.8879), np.float32(0.2787), np.float32(0.0), np.float32(0.0), np.float32(0.7693), np.float32(0.8223), np.float32(0.7046), np.float32(0.6245), np.float32(0.0), np.float32(0.0), np.float32(0.8278), np.float32(0.659), np.float32(0.8434), np.float32(0.7152), np.float32(0.4342), np.float32(0.7497), np.float32(0.9207), np.float32(0.8907), np.float32(0.6829), np.float32(0.6573), np.float32(0.267), np.float32(0.8073), np.float32(0.6439), np.float32(0.5286), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.955), np.float32(0.962)] 
+2026-10-18 15:19:18.650308: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 15:19:18.925244: lr: 0.00091 
+2026-10-18 15:19:18.925520: This epoch took 255.075293 s
+ 
+2026-10-18 15:19:18.925606: 
+epoch:  99 
+2026-10-18 15:23:28.082159: train loss : -0.7307 
+2026-10-18 15:23:33.413600: validation loss: -0.6822 
+2026-10-18 15:23:33.414498: Average global foreground Dice: [np.float32(0.912), np.float32(0.7038), np.float32(0.8589), np.float32(0.8784), np.float32(0.8056), np.float32(0.9362), np.float32(0.8707), np.float32(0.5497), np.float32(0.0), np.float32(0.0), np.float32(0.7809), np.float32(0.8234), np.float32(0.7095), np.float32(0.6382), np.float32(0.0), np.float32(0.0), np.float32(0.7902), np.float32(0.6224), np.float32(0.8243), np.float32(0.6685), np.float32(0.382), np.float32(0.7704), np.float32(0.8978), np.float32(0.8707), np.float32(0.6614), np.float32(0.6716), np.float32(0.3508), np.float32(0.768), np.float32(0.4633), np.float32(0.5938), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9309), np.float32(0.9648)] 
+2026-10-18 15:23:33.414674: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 15:23:33.688570: lr: 0.00091 
+2026-10-18 15:23:33.688903: saving scheduled checkpoint file... 
+2026-10-18 15:23:33.699469: saving checkpoint... 
+2026-10-18 15:23:33.825087: done, saving took 0.14 seconds 
+2026-10-18 15:23:33.826223: done 
+2026-10-18 15:23:33.826435: This epoch took 254.900769 s
+ 
+2026-10-18 15:23:33.826619: 
+epoch:  100 
+2026-10-18 15:27:37.850998: train loss : -0.7298 
+2026-10-18 15:27:43.208927: validation loss: -0.6937 
+2026-10-18 15:27:43.209825: Average global foreground Dice: [np.float32(0.9282), np.float32(0.7074), np.float32(0.8641), np.float32(0.8626), np.float32(0.7785), np.float32(0.9323), np.float32(0.8802), np.float32(0.4986), np.float32(0.0), np.float32(0.0), np.float32(0.7723), np.float32(0.7996), np.float32(0.7023), np.float32(0.5176), np.float32(0.0), np.float32(0.0), np.float32(0.8217), np.float32(0.6381), np.float32(0.8303), np.float32(0.707), np.float32(0.2971), np.float32(0.8034), np.float32(0.928), np.float32(0.912), np.float32(0.6233), np.float32(0.6228), np.float32(0.2967), np.float32(0.8659), np.float32(0.6505), np.float32(0.6175), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9546), np.float32(0.966)] 
+2026-10-18 15:27:43.210127: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 15:27:43.521649: lr: 0.000909 
+2026-10-18 15:27:43.521887: This epoch took 249.695182 s
+ 
+2026-10-18 15:27:43.521967: 
+epoch:  101 
+2026-10-18 15:31:15.109447: train loss : -0.7375 
+2026-10-18 15:31:20.456810: validation loss: -0.7029 
+2026-10-18 15:31:20.457959: Average global foreground Dice: [np.float32(0.9428), np.float32(0.7072), np.float32(0.8688), np.float32(0.886), np.float32(0.8369), np.float32(0.9354), np.float32(0.8543), np.float32(0.5288), np.float32(0.0), np.float32(0.0), np.float32(0.7812), np.float32(0.8318), np.float32(0.6984), np.float32(0.6416), np.float32(0.0), np.float32(0.0), np.float32(0.8328), np.float32(0.6842), np.float32(0.8246), np.float32(0.7302), np.float32(0.3741), np.float32(0.7862), np.float32(0.9313), np.float32(0.9204), np.float32(0.6703), np.float32(0.669), np.float32(0.3112), np.float32(0.7572), np.float32(0.7226), np.float32(0.7619), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9513), np.float32(0.963)] 
+2026-10-18 15:31:20.458355: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 15:31:20.743566: lr: 0.000908 
+2026-10-18 15:31:20.751371: saving checkpoint... 
+2026-10-18 15:31:20.875477: done, saving took 0.13 seconds 
+2026-10-18 15:31:20.877033: This epoch took 217.355014 s
+ 
+2026-10-18 15:31:20.877280: 
+epoch:  102 
+2026-10-18 15:35:04.476829: train loss : -0.7295 
+2026-10-18 15:35:09.813057: validation loss: -0.6758 
+2026-10-18 15:35:09.814046: Average global foreground Dice: [np.float32(0.9378), np.float32(0.7481), np.float32(0.8486), np.float32(0.8723), np.float32(0.8189), np.float32(0.9282), np.float32(0.8712), np.float32(0.4243), np.float32(0.0), np.float32(0.0), np.float32(0.7327), np.float32(0.765), np.float32(0.6976), np.float32(0.5239), np.float32(0.0), np.float32(0.0), np.float32(0.8324), np.float32(0.6484), np.float32(0.8405), np.float32(0.7141), np.float32(0.401), np.float32(0.728), np.float32(0.9229), np.float32(0.9124), np.float32(0.6278), np.float32(0.6344), np.float32(0.3385), np.float32(0.7065), np.float32(0.5495), np.float32(0.6113), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9388), np.float32(0.9629)] 
+2026-10-18 15:35:09.814343: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 15:35:10.104276: lr: 0.000907 
+2026-10-18 15:35:10.104809: This epoch took 229.227418 s
+ 
+2026-10-18 15:35:10.105120: 
+epoch:  103 
+2026-10-18 15:38:45.276860: train loss : -0.7276 
+2026-10-18 15:38:50.605180: validation loss: -0.7002 
+2026-10-18 15:38:50.606167: Average global foreground Dice: [np.float32(0.9396), np.float32(0.7703), np.float32(0.863), np.float32(0.8595), np.float32(0.8125), np.float32(0.9338), np.float32(0.8718), np.float32(0.6501), np.float32(0.0), np.float32(0.0), np.float32(0.7482), np.float32(0.8214), np.float32(0.6685), np.float32(0.6213), np.float32(0.0), np.float32(0.0), np.float32(0.7626), np.float32(0.6392), np.float32(0.7969), np.float32(0.713), np.float32(0.4479), np.float32(0.7898), np.float32(0.9189), np.float32(0.9006), np.float32(0.6779), np.float32(0.6702), np.float32(0.3536), np.float32(0.829), np.float32(0.6466), np.float32(0.7024), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9526), np.float32(0.9573)] 
+2026-10-18 15:38:50.606459: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 15:38:50.947736: lr: 0.000906 
+2026-10-18 15:38:50.960888: saving checkpoint... 
+2026-10-18 15:38:51.353829: done, saving took 0.41 seconds 
+2026-10-18 15:38:51.370559: This epoch took 221.265244 s
+ 
+2026-10-18 15:38:51.380526: 
+epoch:  104 
+2026-10-18 15:42:29.190690: train loss : -0.7396 
+2026-10-18 15:42:34.541457: validation loss: -0.6883 
+2026-10-18 15:42:34.542516: Average global foreground Dice: [np.float32(0.9318), np.float32(0.6974), np.float32(0.8619), np.float32(0.8881), np.float32(0.8113), np.float32(0.9304), np.float32(0.8798), np.float32(0.7388), np.float32(0.0), np.float32(0.0), np.float32(0.7821), np.float32(0.8176), np.float32(0.6828), np.float32(0.5786), np.float32(0.0), np.float32(0.0), np.float32(0.827), np.float32(0.675), np.float32(0.8418), np.float32(0.7426), np.float32(0.5096), np.float32(0.7423), np.float32(0.9112), np.float32(0.9106), np.float32(0.6669), np.float32(0.6848), np.float32(0.4027), np.float32(0.8243), np.float32(0.5239), np.float32(0.6764), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.918), np.float32(0.9499)] 
+2026-10-18 15:42:34.542778: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 15:42:34.820902: lr: 0.000905 
+2026-10-18 15:42:34.828870: saving checkpoint... 
+2026-10-18 15:42:34.954967: done, saving took 0.13 seconds 
+2026-10-18 15:42:34.956413: This epoch took 223.570894 s
+ 
+2026-10-18 15:42:34.956632: 
+epoch:  105 
+2026-10-18 15:46:35.169178: train loss : -0.7363 
+2026-10-18 15:46:40.507320: validation loss: -0.6909 
+2026-10-18 15:46:40.508404: Average global foreground Dice: [np.float32(0.9452), np.float32(0.7238), np.float32(0.8789), np.float32(0.8855), np.float32(0.8337), np.float32(0.9255), np.float32(0.8759), np.float32(0.7612), np.float32(0.0), np.float32(0.0), np.float32(0.7729), np.float32(0.8239), np.float32(0.7148), np.float32(0.5485), np.float32(0.0), np.float32(0.0), np.float32(0.8198), np.float32(0.622), np.float32(0.845), np.float32(0.6919), np.float32(0.3949), np.float32(0.787), np.float32(0.932), np.float32(0.9279), np.float32(0.6716), np.float32(0.6601), np.float32(0.3168), np.float32(0.8426), np.float32(0.5883), np.float32(0.7781), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9439), np.float32(0.9594)] 
+2026-10-18 15:46:40.508832: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 15:46:40.794132: lr: 0.000904 
+2026-10-18 15:46:40.801942: saving checkpoint... 
+2026-10-18 15:46:40.931215: done, saving took 0.14 seconds 
+2026-10-18 15:46:40.932358: This epoch took 245.975594 s
+ 
+2026-10-18 15:46:40.932569: 
+epoch:  106 
+2026-10-18 15:50:34.259661: train loss : -0.7349 
+2026-10-18 15:50:39.600957: validation loss: -0.6602 
+2026-10-18 15:50:39.602088: Average global foreground Dice: [np.float32(0.9201), np.float32(0.7168), np.float32(0.8564), np.float32(0.8874), np.float32(0.8293), np.float32(0.9343), np.float32(0.8671), np.float32(0.7462), np.float32(0.0), np.float32(0.0), np.float32(0.7619), np.float32(0.8153), np.float32(0.6914), np.float32(0.5802), np.float32(0.0), np.float32(0.0), np.float32(0.8261), np.float32(0.6409), np.float32(0.8399), np.float32(0.7052), np.float32(0.4449), np.float32(0.799), np.float32(0.8813), np.float32(0.8739), np.float32(0.6576), np.float32(0.6238), np.float32(0.1983), np.float32(0.7986), np.float32(0.5461), np.float32(0.711), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9525), np.float32(0.9591)] 
+2026-10-18 15:50:39.602355: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 15:50:39.875343: lr: 0.000903 
+2026-10-18 15:50:39.883959: saving checkpoint... 
+2026-10-18 15:50:40.020061: done, saving took 0.14 seconds 
+2026-10-18 15:50:40.021369: This epoch took 239.088717 s
+ 
+2026-10-18 15:50:40.021579: 
+epoch:  107 
+2026-10-18 15:54:24.526517: train loss : -0.7321 
+2026-10-18 15:54:29.863822: validation loss: -0.6823 
+2026-10-18 15:54:29.864819: Average global foreground Dice: [np.float32(0.9418), np.float32(0.7372), np.float32(0.8723), np.float32(0.8669), np.float32(0.7829), np.float32(0.933), np.float32(0.8866), np.float32(0.6111), np.float32(0.0), np.float32(0.0), np.float32(0.7711), np.float32(0.8075), np.float32(0.6358), np.float32(0.5744), np.float32(0.0), np.float32(0.0), np.float32(0.8205), np.float32(0.6371), np.float32(0.84), np.float32(0.7012), np.float32(0.5019), np.float32(0.7689), np.float32(0.9224), np.float32(0.9051), np.float32(0.6355), np.float32(0.6373), np.float32(0.4806), np.float32(0.8434), np.float32(0.6497), np.float32(0.7471), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.955), np.float32(0.9665)] 
+2026-10-18 15:54:29.865210: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 15:54:30.159132: lr: 0.000902 
+2026-10-18 15:54:30.167582: saving checkpoint... 
+2026-10-18 15:54:30.302180: done, saving took 0.14 seconds 
+2026-10-18 15:54:30.304013: This epoch took 230.282352 s
+ 
+2026-10-18 15:54:30.304165: 
+epoch:  108 
+2026-10-18 15:58:21.232324: train loss : -0.7273 
+2026-10-18 15:58:26.579841: validation loss: -0.7015 
+2026-10-18 15:58:26.581135: Average global foreground Dice: [np.float32(0.9451), np.float32(0.7536), np.float32(0.8571), np.float32(0.8939), np.float32(0.8117), np.float32(0.933), np.float32(0.8816), np.float32(0.2465), np.float32(0.0), np.float32(0.0), np.float32(0.7827), np.float32(0.8242), np.float32(0.7023), np.float32(0.5958), np.float32(0.0), np.float32(0.0), np.float32(0.827), np.float32(0.6479), np.float32(0.839), np.float32(0.7189), np.float32(0.5231), np.float32(0.7672), np.float32(0.9309), np.float32(0.9214), np.float32(0.6622), np.float32(0.6468), np.float32(0.4577), np.float32(0.8601), np.float32(0.7157), np.float32(0.766), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9487), np.float32(0.9681)] 
+2026-10-18 15:58:26.581695: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 15:58:26.871552: lr: 0.000901 
+2026-10-18 15:58:26.879904: saving checkpoint... 
+2026-10-18 15:58:27.013127: done, saving took 0.14 seconds 
+2026-10-18 15:58:27.014577: This epoch took 236.710318 s
+ 
+2026-10-18 15:58:27.014758: 
+epoch:  109 
+2026-10-18 16:02:20.722696: train loss : -0.7240 
+2026-10-18 16:02:26.071890: validation loss: -0.6867 
+2026-10-18 16:02:26.072963: Average global foreground Dice: [np.float32(0.9388), np.float32(0.7242), np.float32(0.8655), np.float32(0.8855), np.float32(0.8318), np.float32(0.9291), np.float32(0.8644), np.float32(0.6413), np.float32(0.0), np.float32(0.0), np.float32(0.7831), np.float32(0.8159), np.float32(0.7111), np.float32(0.5927), np.float32(0.0), np.float32(0.0), np.float32(0.8369), np.float32(0.6577), np.float32(0.8384), np.float32(0.7115), np.float32(0.445), np.float32(0.7694), np.float32(0.9114), np.float32(0.9056), np.float32(0.6726), np.float32(0.6136), np.float32(0.4481), np.float32(0.8039), np.float32(0.6332), np.float32(0.7697), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9543), np.float32(0.961)] 
+2026-10-18 16:02:26.073232: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 16:02:26.360770: lr: 0.0009 
+2026-10-18 16:02:26.368248: saving checkpoint... 
+2026-10-18 16:02:26.510387: done, saving took 0.15 seconds 
+2026-10-18 16:02:26.512101: This epoch took 239.497148 s
+ 
+2026-10-18 16:02:26.512387: 
+epoch:  110 
+2026-10-18 16:06:16.858307: train loss : -0.7355 
+2026-10-18 16:06:22.213072: validation loss: -0.6834 
+2026-10-18 16:06:22.214213: Average global foreground Dice: [np.float32(0.9447), np.float32(0.7293), np.float32(0.8649), np.float32(0.8747), np.float32(0.8126), np.float32(0.9385), np.float32(0.8612), np.float32(0.5756), np.float32(0.0), np.float32(0.0), np.float32(0.7766), np.float32(0.8063), np.float32(0.7182), np.float32(0.5876), np.float32(0.0), np.float32(0.0), np.float32(0.8385), np.float32(0.6816), np.float32(0.8413), np.float32(0.7123), np.float32(0.4981), np.float32(0.7704), np.float32(0.9304), np.float32(0.9191), np.float32(0.7169), np.float32(0.6806), np.float32(0.334), np.float32(0.871), np.float32(0.638), np.float32(0.6498), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9559), np.float32(0.9659)] 
+2026-10-18 16:06:22.214748: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 16:06:22.496890: lr: 0.0009 
+2026-10-18 16:06:22.505822: saving checkpoint... 
+2026-10-18 16:06:22.628911: done, saving took 0.13 seconds 
+2026-10-18 16:06:22.630048: This epoch took 236.117498 s
+ 
+2026-10-18 16:06:22.630226: 
+epoch:  111 
+2026-10-18 16:10:04.092198: train loss : -0.7417 
+2026-10-18 16:10:09.433600: validation loss: -0.6841 
+2026-10-18 16:10:09.434938: Average global foreground Dice: [np.float32(0.9436), np.float32(0.7119), np.float32(0.849), np.float32(0.8704), np.float32(0.7803), np.float32(0.9231), np.float32(0.8876), np.float32(0.5895), np.float32(0.0), np.float32(0.0), np.float32(0.7507), np.float32(0.8086), np.float32(0.7086), np.float32(0.598), np.float32(0.0), np.float32(0.0), np.float32(0.8242), np.float32(0.6661), np.float32(0.8446), np.float32(0.7254), np.float32(0.4455), np.float32(0.7898), np.float32(0.934), np.float32(0.9182), np.float32(0.644), np.float32(0.6174), np.float32(0.2692), np.float32(0.7577), np.float32(0.6843), np.float32(0.7073), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9536), np.float32(0.963)] 
+2026-10-18 16:10:09.435681: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 16:10:09.718613: lr: 0.000899 
+2026-10-18 16:10:09.727099: saving checkpoint... 
+2026-10-18 16:10:09.856052: done, saving took 0.14 seconds 
+2026-10-18 16:10:09.857168: This epoch took 227.226867 s
+ 
+2026-10-18 16:10:09.857363: 
+epoch:  112 
+2026-10-18 16:14:01.464399: train loss : -0.7489 
+2026-10-18 16:14:06.805800: validation loss: -0.6987 
+2026-10-18 16:14:06.806777: Average global foreground Dice: [np.float32(0.9432), np.float32(0.7745), np.float32(0.8625), np.float32(0.888), np.float32(0.8258), np.float32(0.9258), np.float32(0.8809), np.float32(0.8059), np.float32(0.0), np.float32(0.0), np.float32(0.7834), np.float32(0.8336), np.float32(0.7048), np.float32(0.5826), np.float32(0.0), np.float32(0.0), np.float32(0.835), np.float32(0.6804), np.float32(0.8387), np.float32(0.7167), np.float32(0.3226), np.float32(0.7877), np.float32(0.931), np.float32(0.9201), np.float32(0.6612), np.float32(0.6389), np.float32(0.4211), np.float32(0.8373), np.float32(0.6679), np.float32(0.7811), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9522), np.float32(0.9678)] 
+2026-10-18 16:14:06.807025: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 16:14:07.087682: lr: 0.000898 
+2026-10-18 16:14:07.096268: saving checkpoint... 
+2026-10-18 16:14:07.226896: done, saving took 0.14 seconds 
+2026-10-18 16:14:07.228822: This epoch took 237.371372 s
+ 
+2026-10-18 16:14:07.228976: 
+epoch:  113 
+2026-10-18 16:17:48.750983: train loss : -0.7281 
+2026-10-18 16:17:54.107769: validation loss: -0.6843 
+2026-10-18 16:17:54.109000: Average global foreground Dice: [np.float32(0.9244), np.float32(0.7056), np.float32(0.8565), np.float32(0.8751), np.float32(0.7993), np.float32(0.9372), np.float32(0.8649), np.float32(0.7368), np.float32(0.0), np.float32(0.0), np.float32(0.7847), np.float32(0.8449), np.float32(0.7055), np.float32(0.6265), np.float32(0.0), np.float32(0.0), np.float32(0.8224), np.float32(0.6478), np.float32(0.8332), np.float32(0.731), np.float32(0.3032), np.float32(0.7839), np.float32(0.9263), np.float32(0.9032), np.float32(0.6367), np.float32(0.6477), np.float32(0.3903), np.float32(0.8871), np.float32(0.5503), np.float32(0.6362), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9471), np.float32(0.9703)] 
+2026-10-18 16:17:54.109544: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 16:17:54.390169: lr: 0.000897 
+2026-10-18 16:17:54.398218: saving checkpoint... 
+2026-10-18 16:17:54.526770: done, saving took 0.14 seconds 
+2026-10-18 16:17:54.527874: This epoch took 227.298704 s
+ 
+2026-10-18 16:17:54.527956: 
+epoch:  114 
+2026-10-18 16:21:50.477619: train loss : -0.7397 
+2026-10-18 16:21:55.827402: validation loss: -0.6927 
+2026-10-18 16:21:55.828423: Average global foreground Dice: [np.float32(0.9345), np.float32(0.7532), np.float32(0.8568), np.float32(0.865), np.float32(0.8295), np.float32(0.9324), np.float32(0.8678), np.float32(0.694), np.float32(0.0), np.float32(0.0), np.float32(0.7599), np.float32(0.8229), np.float32(0.7396), np.float32(0.6662), np.float32(0.0), np.float32(0.0), np.float32(0.8297), np.float32(0.6369), np.float32(0.8316), np.float32(0.7331), np.float32(0.3667), np.float32(0.7718), np.float32(0.9287), np.float32(0.9163), np.float32(0.685), np.float32(0.6784), np.float32(0.365), np.float32(0.8877), np.float32(0.5643), np.float32(0.6066), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9473), np.float32(0.967)] 
+2026-10-18 16:21:55.828964: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 16:21:56.133639: lr: 0.000896 
+2026-10-18 16:21:56.141329: saving checkpoint... 
+2026-10-18 16:21:56.267641: done, saving took 0.13 seconds 
+2026-10-18 16:21:56.269539: This epoch took 241.741525 s
+ 
+2026-10-18 16:21:56.269723: 
+epoch:  115 
+2026-10-18 16:25:39.549460: train loss : -0.7340 
+2026-10-18 16:25:44.927222: validation loss: -0.6911 
+2026-10-18 16:25:44.928140: Average global foreground Dice: [np.float32(0.9157), np.float32(0.75), np.float32(0.8596), np.float32(0.8837), np.float32(0.7995), np.float32(0.931), np.float32(0.8913), np.float32(0.8004), np.float32(0.0), np.float32(0.0), np.float32(0.7368), np.float32(0.8002), np.float32(0.7001), np.float32(0.6248), np.float32(0.0), np.float32(0.0), np.float32(0.8263), np.float32(0.6752), np.float32(0.8386), np.float32(0.6893), np.float32(0.443), np.float32(0.8079), np.float32(0.9269), np.float32(0.9067), np.float32(0.6628), np.float32(0.6708), np.float32(0.3212), np.float32(0.6246), np.float32(0.638), np.float32(0.7387), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9543), np.float32(0.9673)] 
+2026-10-18 16:25:44.928568: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 16:25:45.207058: lr: 0.000895 
+2026-10-18 16:25:45.214624: saving checkpoint... 
+2026-10-18 16:25:45.348254: done, saving took 0.14 seconds 
+2026-10-18 16:25:45.349737: This epoch took 229.079940 s
+ 
+2026-10-18 16:25:45.349835: 
+epoch:  116 
+2026-10-18 16:29:34.694323: train loss : -0.7375 
+2026-10-18 16:29:40.045066: validation loss: -0.6838 
+2026-10-18 16:29:40.046268: Average global foreground Dice: [np.float32(0.9354), np.float32(0.7452), np.float32(0.833), np.float32(0.8691), np.float32(0.7951), np.float32(0.9326), np.float32(0.8828), np.float32(0.7392), np.float32(0.0), np.float32(0.0), np.float32(0.7741), np.float32(0.8011), np.float32(0.6965), np.float32(0.6436), np.float32(0.0), np.float32(0.0), np.float32(0.8294), np.float32(0.6195), np.float32(0.8324), np.float32(0.713), np.float32(0.3793), np.float32(0.7637), np.float32(0.9081), np.float32(0.8998), np.float32(0.5873), np.float32(0.6371), np.float32(0.3142), np.float32(0.8329), np.float32(0.4911), np.float32(0.6624), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9517), np.float32(0.9685)] 
+2026-10-18 16:29:40.046667: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 16:29:40.347076: lr: 0.000894 
+2026-10-18 16:29:40.347358: This epoch took 234.997469 s
+ 
+2026-10-18 16:29:40.347454: 
+epoch:  117 
+2026-10-18 16:33:42.548379: train loss : -0.7507 
+2026-10-18 16:33:47.893738: validation loss: -0.6889 
+2026-10-18 16:33:47.894756: Average global foreground Dice: [np.float32(0.9403), np.float32(0.7249), np.float32(0.8784), np.float32(0.8801), np.float32(0.8211), np.float32(0.9294), np.float32(0.8926), np.float32(0.8276), np.float32(0.0), np.float32(0.0), np.float32(0.773), np.float32(0.7943), np.float32(0.6931), np.float32(0.5728), np.float32(0.0), np.float32(0.0), np.float32(0.8284), np.float32(0.6506), np.float32(0.8443), np.float32(0.7086), np.float32(0.3608), np.float32(0.7664), np.float32(0.9273), np.float32(0.923), np.float32(0.6832), np.float32(0.6868), np.float32(0.3505), np.float32(0.8646), np.float32(0.5283), np.float32(0.7059), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9528), np.float32(0.9681)] 
+2026-10-18 16:33:47.894933: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 16:33:48.195009: lr: 0.000893 
+2026-10-18 16:33:48.203705: saving checkpoint... 
+2026-10-18 16:33:48.333433: done, saving took 0.14 seconds 
+2026-10-18 16:33:48.334625: This epoch took 247.987107 s
+ 
+2026-10-18 16:33:48.334738: 
+epoch:  118 
+2026-10-18 16:37:49.655619: train loss : -0.7472 
+2026-10-18 16:37:55.004844: validation loss: -0.6929 
+2026-10-18 16:37:55.005975: Average global foreground Dice: [np.float32(0.9478), np.float32(0.7491), np.float32(0.8563), np.float32(0.8961), np.float32(0.8427), np.float32(0.9301), np.float32(0.8951), np.float32(0.793), np.float32(0.0), np.float32(0.0), np.float32(0.7646), np.float32(0.7971), np.float32(0.6752), np.float32(0.5992), np.float32(0.0), np.float32(0.0), np.float32(0.8369), np.float32(0.68), np.float32(0.8457), np.float32(0.7286), np.float32(0.3769), np.float32(0.7903), np.float32(0.9299), np.float32(0.9204), np.float32(0.6358), np.float32(0.6591), np.float32(0.3737), np.float32(0.8609), np.float32(0.6135), np.float32(0.7676), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9577), np.float32(0.9683)] 
+2026-10-18 16:37:55.006246: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 16:37:55.289558: lr: 0.000892 
+2026-10-18 16:37:55.297535: saving checkpoint... 
+2026-10-18 16:37:55.429420: done, saving took 0.14 seconds 
+2026-10-18 16:37:55.430722: This epoch took 247.095928 s
+ 
+2026-10-18 16:37:55.430825: 
+epoch:  119 
+2026-10-18 16:41:34.548904: train loss : -0.7435 
+2026-10-18 16:41:39.889379: validation loss: -0.6762 
+2026-10-18 16:41:39.890560: Average global foreground Dice: [np.float32(0.9415), np.float32(0.7156), np.float32(0.8497), np.float32(0.883), np.float32(0.8088), np.float32(0.9292), np.float32(0.8881), np.float32(0.7489), np.float32(0.0), np.float32(0.0), np.float32(0.7361), np.float32(0.809), np.float32(0.7166), np.float32(0.6487), np.float32(0.0), np.float32(0.0), np.float32(0.8272), np.float32(0.6482), np.float32(0.8477), np.float32(0.6723), np.float32(0.2426), np.float32(0.7467), np.float32(0.9178), np.float32(0.9152), np.float32(0.6222), np.float32(0.6505), np.float32(0.2638), np.float32(0.8809), np.float32(0.5178), np.float32(0.6617), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9381), np.float32(0.9672)] 
+2026-10-18 16:41:39.890949: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 16:41:40.180329: lr: 0.000891 
+2026-10-18 16:41:40.180593: This epoch took 224.749714 s
+ 
+2026-10-18 16:41:40.180672: 
+epoch:  120 
+2026-10-18 16:45:16.724976: train loss : -0.7415 
+2026-10-18 16:45:22.052924: validation loss: -0.6760 
+2026-10-18 16:45:22.054074: Average global foreground Dice: [np.float32(0.943), np.float32(0.7584), np.float32(0.882), np.float32(0.8811), np.float32(0.8174), np.float32(0.9236), np.float32(0.8849), np.float32(0.645), np.float32(0.0), np.float32(0.0), np.float32(0.744), np.float32(0.8209), np.float32(0.7236), np.float32(0.5781), np.float32(0.0), np.float32(0.0), np.float32(0.8318), np.float32(0.6516), np.float32(0.8464), np.float32(0.7156), np.float32(0.5026), np.float32(0.8029), np.float32(0.9078), np.float32(0.9061), np.float32(0.665), np.float32(0.6631), np.float32(0.2694), np.float32(0.7592), np.float32(0.5969), np.float32(0.6317), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9447), np.float32(0.9642)] 
+2026-10-18 16:45:22.054355: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 16:45:22.330576: lr: 0.00089 
+2026-10-18 16:45:22.331075: This epoch took 222.150345 s
+ 
+2026-10-18 16:45:22.331757: 
+epoch:  121 
+2026-10-18 16:49:30.980051: train loss : -0.7386 
+2026-10-18 16:49:36.333924: validation loss: -0.6953 
+2026-10-18 16:49:36.335102: Average global foreground Dice: [np.float32(0.9346), np.float32(0.7277), np.float32(0.8587), np.float32(0.8771), np.float32(0.8254), np.float32(0.933), np.float32(0.8925), np.float32(0.7785), np.float32(0.0), np.float32(0.0), np.float32(0.7803), np.float32(0.83), np.float32(0.7338), np.float32(0.6271), np.float32(0.0), np.float32(0.0), np.float32(0.8231), np.float32(0.6187), np.float32(0.8436), np.float32(0.6976), np.float32(0.3752), np.float32(0.7583), np.float32(0.928), np.float32(0.8997), np.float32(0.6476), np.float32(0.6044), np.float32(0.34), np.float32(0.839), np.float32(0.5876), np.float32(0.7163), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9603), np.float32(0.9656)] 
+2026-10-18 16:49:36.335445: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 16:49:36.617043: lr: 0.000889 
+2026-10-18 16:49:36.617267: This epoch took 254.285313 s
+ 
+2026-10-18 16:49:36.617350: 
+epoch:  122 
+2026-10-18 16:53:21.194915: train loss : -0.7447 
+2026-10-18 16:53:26.543350: validation loss: -0.7066 
+2026-10-18 16:53:26.544378: Average global foreground Dice: [np.float32(0.9415), np.float32(0.7103), np.float32(0.8667), np.float32(0.8883), np.float32(0.7966), np.float32(0.9332), np.float32(0.8758), np.float32(0.7879), np.float32(0.0), np.float32(0.0), np.float32(0.7763), np.float32(0.8254), np.float32(0.6589), np.float32(0.5641), np.float32(0.0), np.float32(0.0), np.float32(0.8173), np.float32(0.6366), np.float32(0.8398), np.float32(0.6931), np.float32(0.3695), np.float32(0.7854), np.float32(0.932), np.float32(0.9281), np.float32(0.6609), np.float32(0.6446), np.float32(0.4034), np.float32(0.8118), np.float32(0.6436), np.float32(0.7621), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9514), np.float32(0.9704)] 
+2026-10-18 16:53:26.544743: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 16:53:26.832860: lr: 0.000889 
+2026-10-18 16:53:26.840632: saving checkpoint... 
+2026-10-18 16:53:26.974726: done, saving took 0.14 seconds 
+2026-10-18 16:53:26.976423: This epoch took 230.359012 s
+ 
+2026-10-18 16:53:26.976619: 
+epoch:  123 
+2026-10-18 16:57:16.211856: train loss : -0.7473 
+2026-10-18 16:57:21.557365: validation loss: -0.6857 
+2026-10-18 16:57:21.558472: Average global foreground Dice: [np.float32(0.9398), np.float32(0.677), np.float32(0.8548), np.float32(0.8646), np.float32(0.7694), np.float32(0.9385), np.float32(0.878), np.float32(0.6768), np.float32(0.0), np.float32(0.0), np.float32(0.7914), np.float32(0.816), np.float32(0.699), np.float32(0.6358), np.float32(0.0), np.float32(0.0), np.float32(0.813), np.float32(0.6545), np.float32(0.8193), np.float32(0.7049), np.float32(0.2818), np.float32(0.713), np.float32(0.9283), np.float32(0.8992), np.float32(0.6109), np.float32(0.6654), np.float32(0.3619), np.float32(0.8018), np.float32(0.547), np.float32(0.7224), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9443), np.float32(0.969)] 
+2026-10-18 16:57:21.559078: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 16:57:21.829838: lr: 0.000888 
+2026-10-18 16:57:21.830088: This epoch took 234.853248 s
+ 
+2026-10-18 16:57:21.830168: 
+epoch:  124 
+2026-10-18 17:00:55.647745: train loss : -0.7481 
+2026-10-18 17:01:01.007384: validation loss: -0.6901 
+2026-10-18 17:01:01.008319: Average global foreground Dice: [np.float32(0.9373), np.float32(0.7089), np.float32(0.8526), np.float32(0.8812), np.float32(0.774), np.float32(0.9267), np.float32(0.8809), np.float32(0.6765), np.float32(0.0), np.float32(0.0), np.float32(0.7891), np.float32(0.7933), np.float32(0.7231), np.float32(0.595), np.float32(0.0), np.float32(0.0), np.float32(0.8341), np.float32(0.6563), np.float32(0.8417), np.float32(0.7328), np.float32(0.3248), np.float32(0.7557), np.float32(0.9339), np.float32(0.9187), np.float32(0.5829), np.float32(0.6492), np.float32(0.4235), np.float32(0.7842), np.float32(0.6322), np.float32(0.7749), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.943), np.float32(0.958)] 
+2026-10-18 17:01:01.008478: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 17:01:01.315459: lr: 0.000887 
+2026-10-18 17:01:01.315731: This epoch took 219.485505 s
+ 
+2026-10-18 17:01:01.315828: 
+epoch:  125 
+2026-10-18 17:05:05.279101: train loss : -0.7491 
+2026-10-18 17:05:10.622975: validation loss: -0.6907 
+2026-10-18 17:05:10.623871: Average global foreground Dice: [np.float32(0.933), np.float32(0.755), np.float32(0.8461), np.float32(0.8672), np.float32(0.8242), np.float32(0.9307), np.float32(0.8807), np.float32(0.7687), np.float32(0.0), np.float32(0.0), np.float32(0.7511), np.float32(0.83), np.float32(0.7126), np.float32(0.6787), np.float32(0.0), np.float32(0.0), np.float32(0.8295), np.float32(0.6659), np.float32(0.8406), np.float32(0.7222), np.float32(0.3287), np.float32(0.7618), np.float32(0.9182), np.float32(0.91), np.float32(0.6374), np.float32(0.6364), np.float32(0.4168), np.float32(0.6404), np.float32(0.5881), np.float32(0.761), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9551), np.float32(0.9673)] 
+2026-10-18 17:05:10.624218: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 17:05:10.919061: lr: 0.000886 
+2026-10-18 17:05:10.919546: This epoch took 249.603644 s
+ 
+2026-10-18 17:05:10.920029: 
+epoch:  126 
+2026-10-18 17:08:43.356907: train loss : -0.7547 
+2026-10-18 17:08:48.708653: validation loss: -0.6999 
+2026-10-18 17:08:48.709654: Average global foreground Dice: [np.float32(0.9348), np.float32(0.7129), np.float32(0.8485), np.float32(0.8685), np.float32(0.8122), np.float32(0.9405), np.float32(0.9033), np.float32(0.7945), np.float32(0.0), np.float32(0.0), np.float32(0.7939), np.float32(0.8378), np.float32(0.6803), np.float32(0.6247), np.float32(0.0), np.float32(0.0), np.float32(0.8165), np.float32(0.6343), np.float32(0.8291), np.float32(0.6693), np.float32(0.2575), np.float32(0.7583), np.float32(0.9244), np.float32(0.9189), np.float32(0.622), np.float32(0.599), np.float32(0.4278), np.float32(0.7715), np.float32(0.6171), np.float32(0.6737), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9478), np.float32(0.9687)] 
+2026-10-18 17:08:48.709974: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 17:08:49.012526: lr: 0.000885 
+2026-10-18 17:08:49.012749: This epoch took 218.092431 s
+ 
+2026-10-18 17:08:49.012830: 
+epoch:  127 
+2026-10-18 17:12:50.497958: train loss : -0.7431 
+2026-10-18 17:12:55.847249: validation loss: -0.6791 
+2026-10-18 17:12:55.848317: Average global foreground Dice: [np.float32(0.9402), np.float32(0.7071), np.float32(0.8645), np.float32(0.8795), np.float32(0.8279), np.float32(0.9334), np.float32(0.8812), np.float32(0.6776), np.float32(0.0), np.float32(0.0), np.float32(0.8013), np.float32(0.8368), np.float32(0.6739), np.float32(0.5608), np.float32(0.0), np.float32(0.0), np.float32(0.8186), np.float32(0.6), np.float32(0.8176), np.float32(0.645), np.float32(0.3414), np.float32(0.7358), np.float32(0.9301), np.float32(0.9304), np.float32(0.6147), np.float32(0.6348), np.float32(0.4119), np.float32(0.8098), np.float32(0.5889), np.float32(0.7199), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9531), np.float32(0.9682)] 
+2026-10-18 17:12:55.848765: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 17:12:56.132091: lr: 0.000884 
+2026-10-18 17:12:56.132326: This epoch took 247.119442 s
+ 
+2026-10-18 17:12:56.132406: 
+epoch:  128 
+2026-10-18 17:17:28.836091: train loss : -0.7472 
+2026-10-18 17:17:34.208796: validation loss: -0.6856 
+2026-10-18 17:17:34.209889: Average global foreground Dice: [np.float32(0.9341), np.float32(0.6752), np.float32(0.8513), np.float32(0.8548), np.float32(0.7973), np.float32(0.9352), np.float32(0.8831), np.float32(0.8211), np.float32(0.0), np.float32(0.0), np.float32(0.8071), np.float32(0.824), np.float32(0.6682), np.float32(0.6039), np.float32(0.0), np.float32(0.0), np.float32(0.8042), np.float32(0.5962), np.float32(0.8114), np.float32(0.663), np.float32(0.29), np.float32(0.7746), np.float32(0.903), np.float32(0.9023), np.float32(0.5739), np.float32(0.6524), np.float32(0.4073), np.float32(0.7973), np.float32(0.5662), np.float32(0.726), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9482), np.float32(0.9665)] 
+2026-10-18 17:17:34.210082: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 17:17:34.529280: lr: 0.000883 
+2026-10-18 17:17:34.529758: This epoch took 278.397287 s
+ 
+2026-10-18 17:17:34.529918: 
+epoch:  129 
+2026-10-18 17:22:09.855869: train loss : -0.7475 
+2026-10-18 17:22:15.210696: validation loss: -0.6732 
+2026-10-18 17:22:15.211662: Average global foreground Dice: [np.float32(0.9394), np.float32(0.7005), np.float32(0.8683), np.float32(0.8726), np.float32(0.7977), np.float32(0.9324), np.float32(0.8693), np.float32(0.661), np.float32(0.0), np.float32(0.0), np.float32(0.807), np.float32(0.8333), np.float32(0.6785), np.float32(0.6237), np.float32(0.0), np.float32(0.0), np.float32(0.8258), np.float32(0.6262), np.float32(0.8318), np.float32(0.6538), np.float32(0.3567), np.float32(0.7394), np.float32(0.9217), np.float32(0.9284), np.float32(0.6511), np.float32(0.6454), np.float32(0.3737), np.float32(0.7863), np.float32(0.6373), np.float32(0.7765), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.941), np.float32(0.9696)] 
+2026-10-18 17:22:15.211844: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 17:22:15.490816: lr: 0.000882 
+2026-10-18 17:22:15.491071: This epoch took 280.961071 s
+ 
+2026-10-18 17:22:15.491152: 
+epoch:  130 
+2026-10-18 17:26:50.585088: train loss : -0.7426 
+2026-10-18 17:26:55.948038: validation loss: -0.6921 
+2026-10-18 17:26:55.949226: Average global foreground Dice: [np.float32(0.9228), np.float32(0.7403), np.float32(0.8457), np.float32(0.8957), np.float32(0.8287), np.float32(0.9354), np.float32(0.8708), np.float32(0.7561), np.float32(0.0), np.float32(0.0), np.float32(0.8018), np.float32(0.8202), np.float32(0.6705), np.float32(0.5983), np.float32(0.0), np.float32(0.0), np.float32(0.8301), np.float32(0.653), np.float32(0.8386), np.float32(0.6704), np.float32(0.3058), np.float32(0.7383), np.float32(0.8972), np.float32(0.9153), np.float32(0.6432), np.float32(0.6358), np.float32(0.3071), np.float32(0.8728), np.float32(0.5446), np.float32(0.7054), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9496), np.float32(0.9622)] 
+2026-10-18 17:26:55.949524: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 17:26:56.231992: lr: 0.000881 
+2026-10-18 17:26:56.232248: This epoch took 280.741038 s
+ 
+2026-10-18 17:26:56.232474: 
+epoch:  131 
+2026-10-18 17:31:15.299674: train loss : -0.7367 
+2026-10-18 17:31:20.647222: validation loss: -0.6790 
+2026-10-18 17:31:20.648122: Average global foreground Dice: [np.float32(0.9325), np.float32(0.6854), np.float32(0.8539), np.float32(0.8648), np.float32(0.8017), np.float32(0.9353), np.float32(0.8771), np.float32(0.5291), np.float32(0.0), np.float32(0.0), np.float32(0.7922), np.float32(0.8081), np.float32(0.7085), np.float32(0.588), np.float32(0.0), np.float32(0.0), np.float32(0.8033), np.float32(0.6575), np.float32(0.8463), np.float32(0.7032), np.float32(0.3666), np.float32(0.7392), np.float32(0.9086), np.float32(0.9011), np.float32(0.6369), np.float32(0.6669), np.float32(0.3772), np.float32(0.892), np.float32(0.5575), np.float32(0.7057), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9417), np.float32(0.9666)] 
+2026-10-18 17:31:20.648570: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 17:31:20.940299: lr: 0.00088 
+2026-10-18 17:31:20.940602: This epoch took 264.707859 s
+ 
+2026-10-18 17:31:20.940696: 
+epoch:  132 
+2026-10-18 17:35:52.864724: train loss : -0.7395 
+2026-10-18 17:35:58.237762: validation loss: -0.6936 
+2026-10-18 17:35:58.239166: Average global foreground Dice: [np.float32(0.93), np.float32(0.7359), np.float32(0.8536), np.float32(0.894), np.float32(0.8493), np.float32(0.9372), np.float32(0.874), np.float32(0.7805), np.float32(0.0), np.float32(0.0), np.float32(0.7997), np.float32(0.8097), np.float32(0.7192), np.float32(0.5423), np.float32(0.0), np.float32(0.0), np.float32(0.8387), np.float32(0.6655), np.float32(0.84), np.float32(0.7226), np.float32(0.3774), np.float32(0.7635), np.float32(0.9325), np.float32(0.9052), np.float32(0.6821), np.float32(0.6603), np.float32(0.3674), np.float32(0.8652), np.float32(0.6127), np.float32(0.753), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.96), np.float32(0.968)] 
+2026-10-18 17:35:58.239398: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 17:35:58.564244: lr: 0.000879 
+2026-10-18 17:35:58.564890: This epoch took 277.624095 s
+ 
+2026-10-18 17:35:58.565027: 
+epoch:  133 
+2026-10-18 17:40:36.119532: train loss : -0.7515 
+2026-10-18 17:40:41.472626: validation loss: -0.6825 
+2026-10-18 17:40:41.473830: Average global foreground Dice: [np.float32(0.9365), np.float32(0.7364), np.float32(0.8487), np.float32(0.8809), np.float32(0.815), np.float32(0.9406), np.float32(0.8826), np.float32(0.7111), np.float32(0.0), np.float32(0.0), np.float32(0.7725), np.float32(0.7846), np.float32(0.6645), np.float32(0.5253), np.float32(0.0), np.float32(0.0), np.float32(0.8254), np.float32(0.6388), np.float32(0.8483), np.float32(0.7278), np.float32(0.4323), np.float32(0.7843), np.float32(0.9332), np.float32(0.9163), np.float32(0.689), np.float32(0.671), np.float32(0.3618), np.float32(0.8708), np.float32(0.5678), np.float32(0.7318), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.96), np.float32(0.9666)] 
+2026-10-18 17:40:41.474179: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 17:40:41.809849: lr: 0.000879 
+2026-10-18 17:40:41.810360: This epoch took 283.245261 s
+ 
+2026-10-18 17:40:41.810703: 
+epoch:  134 
+2026-10-18 17:45:41.147827: train loss : -0.7406 
+2026-10-18 17:45:46.510978: validation loss: -0.6838 
+2026-10-18 17:45:46.511892: Average global foreground Dice: [np.float32(0.9315), np.float32(0.7355), np.float32(0.8647), np.float32(0.8699), np.float32(0.8092), np.float32(0.9363), np.float32(0.8849), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.7801), np.float32(0.81), np.float32(0.7349), np.float32(0.5716), np.float32(0.0), np.float32(0.0), np.float32(0.8228), np.float32(0.6712), np.float32(0.8478), np.float32(0.7274), np.float32(0.4368), np.float32(0.7432), np.float32(0.9204), np.float32(0.9023), np.float32(0.6636), np.float32(0.7031), np.float32(0.2775), np.float32(0.7657), np.float32(0.5692), np.float32(0.7054), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9579), np.float32(0.9657)] 
+2026-10-18 17:45:46.512081: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 17:45:46.869838: lr: 0.000878 
+2026-10-18 17:45:46.870169: This epoch took 305.059204 s
+ 
+2026-10-18 17:45:46.870496: 
+epoch:  135 
+2026-10-18 17:50:06.687465: train loss : -0.7464 
+2026-10-18 17:50:12.045855: validation loss: -0.6946 
+2026-10-18 17:50:12.047114: Average global foreground Dice: [np.float32(0.929), np.float32(0.7556), np.float32(0.8744), np.float32(0.8876), np.float32(0.8466), np.float32(0.9347), np.float32(0.8881), np.float32(0.7496), np.float32(0.0), np.float32(0.0), np.float32(0.7855), np.float32(0.8086), np.float32(0.7135), np.float32(0.6292), np.float32(0.0), np.float32(0.0), np.float32(0.8383), np.float32(0.6779), np.float32(0.8391), np.float32(0.7139), np.float32(0.3181), np.float32(0.7889), np.float32(0.917), np.float32(0.903), np.float32(0.6793), np.float32(0.6676), np.float32(0.4663), np.float32(0.7841), np.float32(0.6258), np.float32(0.7297), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9564), np.float32(0.9646)] 
+2026-10-18 17:50:12.047255: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 17:50:12.374233: lr: 0.000877 
+2026-10-18 17:50:12.374734: This epoch took 265.504049 s
+ 
+2026-10-18 17:50:12.374891: 
+epoch:  136 
+2026-10-18 17:54:37.977544: train loss : -0.7493 
+2026-10-18 17:54:43.333584: validation loss: -0.6774 
+2026-10-18 17:54:43.334574: Average global foreground Dice: [np.float32(0.9289), np.float32(0.7141), np.float32(0.8498), np.float32(0.8675), np.float32(0.8018), np.float32(0.9262), np.float32(0.8767), np.float32(0.6638), np.float32(0.0), np.float32(0.0), np.float32(0.7938), np.float32(0.8274), np.float32(0.6605), np.float32(0.6122), np.float32(0.0), np.float32(0.0), np.float32(0.8056), np.float32(0.5984), np.float32(0.8166), np.float32(0.6745), np.float32(0.2759), np.float32(0.7489), np.float32(0.902), np.float32(0.8936), np.float32(0.64), np.float32(0.6195), np.float32(0.4087), np.float32(0.7209), np.float32(0.5022), np.float32(0.6703), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9414), np.float32(0.9671)] 
+2026-10-18 17:54:43.334953: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 17:54:43.612302: lr: 0.000876 
+2026-10-18 17:54:43.612599: This epoch took 271.237532 s
+ 
+2026-10-18 17:54:43.612693: 
+epoch:  137 
+2026-10-18 17:59:10.796343: train loss : -0.7473 
+2026-10-18 17:59:16.152854: validation loss: -0.6871 
+2026-10-18 17:59:16.154338: Average global foreground Dice: [np.float32(0.9451), np.float32(0.7394), np.float32(0.8764), np.float32(0.8925), np.float32(0.8255), np.float32(0.9336), np.float32(0.8781), np.float32(0.7676), np.float32(0.0), np.float32(0.0), np.float32(0.7791), np.float32(0.7967), np.float32(0.6568), np.float32(0.5642), np.float32(0.001), np.float32(0.0), np.float32(0.8469), np.float32(0.6951), np.float32(0.8503), np.float32(0.7382), np.float32(0.4013), np.float32(0.767), np.float32(0.9253), np.float32(0.9306), np.float32(0.6363), np.float32(0.6967), np.float32(0.4008), np.float32(0.8025), np.float32(0.5962), np.float32(0.7267), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9561), np.float32(0.9688)] 
+2026-10-18 17:59:16.154560: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 17:59:16.499607: lr: 0.000875 
+2026-10-18 17:59:16.500007: This epoch took 272.887250 s
+ 
+2026-10-18 17:59:16.500300: 
+epoch:  138 
+2026-10-18 18:04:00.117223: train loss : -0.7461 
+2026-10-18 18:04:05.477907: validation loss: -0.6955 
+2026-10-18 18:04:05.479185: Average global foreground Dice: [np.float32(0.9174), np.float32(0.7415), np.float32(0.8422), np.float32(0.87), np.float32(0.8382), np.float32(0.925), np.float32(0.8631), np.float32(0.2606), np.float32(0.0), np.float32(0.0), np.float32(0.7727), np.float32(0.8187), np.float32(0.6678), np.float32(0.6125), np.float32(0.0), np.float32(0.0), np.float32(0.8212), np.float32(0.6305), np.float32(0.8332), np.float32(0.6726), np.float32(0.3245), np.float32(0.7918), np.float32(0.926), np.float32(0.9108), np.float32(0.6835), np.float32(0.6444), np.float32(0.4456), np.float32(0.8249), np.float32(0.6135), np.float32(0.7071), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9453), np.float32(0.9639)] 
+2026-10-18 18:04:05.479737: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 18:04:05.960581: lr: 0.000874 
+2026-10-18 18:04:05.960943: This epoch took 289.460351 s
+ 
+2026-10-18 18:04:05.961158: 
+epoch:  139 
+2026-10-18 18:08:55.404326: train loss : -0.7354 
+2026-10-18 18:09:00.783857: validation loss: -0.6895 
+2026-10-18 18:09:00.784875: Average global foreground Dice: [np.float32(0.8703), np.float32(0.697), np.float32(0.8429), np.float32(0.876), np.float32(0.7938), np.float32(0.9062), np.float32(0.8759), np.float32(0.7298), np.float32(0.0), np.float32(0.0), np.float32(0.7746), np.float32(0.7987), np.float32(0.6933), np.float32(0.6323), np.float32(0.0), np.float32(0.0), np.float32(0.8298), np.float32(0.6716), np.float32(0.84), np.float32(0.7328), np.float32(0.3092), np.float32(0.7792), np.float32(0.9088), np.float32(0.8821), np.float32(0.6461), np.float32(0.6326), np.float32(0.2969), np.float32(0.7916), np.float32(0.5553), np.float32(0.7609), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9487), np.float32(0.963)] 
+2026-10-18 18:09:00.785152: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 18:09:01.076567: lr: 0.000873 
+2026-10-18 18:09:01.077008: This epoch took 295.115682 s
+ 
+2026-10-18 18:09:01.077156: 
+epoch:  140 
+2026-10-18 18:13:19.574187: train loss : -0.7263 
+2026-10-18 18:13:24.928354: validation loss: -0.6751 
+2026-10-18 18:13:24.929406: Average global foreground Dice: [np.float32(0.9308), np.float32(0.7035), np.float32(0.8466), np.float32(0.8755), np.float32(0.7794), np.float32(0.918), np.float32(0.8573), np.float32(0.505), np.float32(0.0), np.float32(0.0), np.float32(0.7658), np.float32(0.8137), np.float32(0.6854), np.float32(0.6079), np.float32(0.0), np.float32(0.0), np.float32(0.808), np.float32(0.6202), np.float32(0.8253), np.float32(0.676), np.float32(0.366), np.float32(0.6928), np.float32(0.9149), np.float32(0.9016), np.float32(0.6196), np.float32(0.6182), np.float32(0.3444), np.float32(0.8464), np.float32(0.6263), np.float32(0.69), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9566), np.float32(0.963)] 
+2026-10-18 18:13:24.929600: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 18:13:25.211901: lr: 0.000872 
+2026-10-18 18:13:25.212223: This epoch took 264.134979 s
+ 
+2026-10-18 18:13:25.212451: 
+epoch:  141 
+2026-10-18 18:18:11.615222: train loss : -0.7363 
+2026-10-18 18:18:16.973335: validation loss: -0.6939 
+2026-10-18 18:18:16.974282: Average global foreground Dice: [np.float32(0.9417), np.float32(0.7286), np.float32(0.8798), np.float32(0.8957), np.float32(0.8098), np.float32(0.9362), np.float32(0.8756), np.float32(0.7688), np.float32(0.0), np.float32(0.0), np.float32(0.7923), np.float32(0.8249), np.float32(0.7152), np.float32(0.5846), np.float32(0.0), np.float32(0.0), np.float32(0.8333), np.float32(0.7079), np.float32(0.8484), np.float32(0.7448), np.float32(0.3366), np.float32(0.7657), np.float32(0.907), np.float32(0.8895), np.float32(0.6877), np.float32(0.6982), np.float32(0.32), np.float32(0.8448), np.float32(0.6006), np.float32(0.768), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9581), np.float32(0.9665)] 
+2026-10-18 18:18:16.974609: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 18:18:17.262081: lr: 0.000871 
+2026-10-18 18:18:17.262349: This epoch took 292.049798 s
+ 
+2026-10-18 18:18:17.262450: 
+epoch:  142 
+2026-10-18 18:23:16.193871: train loss : -0.7377 
+2026-10-18 18:23:21.542677: validation loss: -0.6658 
+2026-10-18 18:23:21.543581: Average global foreground Dice: [np.float32(0.9355), np.float32(0.6668), np.float32(0.8664), np.float32(0.8771), np.float32(0.8056), np.float32(0.9248), np.float32(0.8467), np.float32(0.4873), np.float32(0.0), np.float32(0.0), np.float32(0.7788), np.float32(0.8237), np.float32(0.6847), np.float32(0.5592), np.float32(0.0), np.float32(0.0), np.float32(0.8168), np.float32(0.6471), np.float32(0.8395), np.float32(0.6969), np.float32(0.3275), np.float32(0.7711), np.float32(0.9161), np.float32(0.9181), np.float32(0.6256), np.float32(0.704), np.float32(0.4239), np.float32(0.6129), np.float32(0.5345), np.float32(0.7084), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9517), np.float32(0.9616)] 
+2026-10-18 18:23:21.543798: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 18:23:21.827939: lr: 0.00087 
+2026-10-18 18:23:21.828333: This epoch took 304.565815 s
+ 
+2026-10-18 18:23:21.828809: 
+epoch:  143 
+2026-10-18 18:27:41.389821: train loss : -0.7429 
+2026-10-18 18:27:46.727496: validation loss: -0.6983 
+2026-10-18 18:27:46.728571: Average global foreground Dice: [np.float32(0.9391), np.float32(0.7447), np.float32(0.879), np.float32(0.8799), np.float32(0.8072), np.float32(0.9394), np.float32(0.8856), np.float32(0.5216), np.float32(0.0), np.float32(0.0), np.float32(0.7234), np.float32(0.8155), np.float32(0.7036), np.float32(0.5825), np.float32(0.0), np.float32(0.0), np.float32(0.8343), np.float32(0.6576), np.float32(0.8498), np.float32(0.7306), np.float32(0.3686), np.float32(0.7849), np.float32(0.9183), np.float32(0.9046), np.float32(0.7013), np.float32(0.6907), np.float32(0.4061), np.float32(0.8687), np.float32(0.5808), np.float32(0.7133), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9617), np.float32(0.9655)] 
+2026-10-18 18:27:46.729083: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 18:27:47.015043: lr: 0.000869 
+2026-10-18 18:27:47.015626: This epoch took 265.186707 s
+ 
+2026-10-18 18:27:47.015937: 
+epoch:  144 
+2026-10-18 18:31:48.413252: train loss : -0.7521 
+2026-10-18 18:31:53.783100: validation loss: -0.6920 
+2026-10-18 18:31:53.784208: Average global foreground Dice: [np.float32(0.9244), np.float32(0.7143), np.float32(0.8538), np.float32(0.8773), np.float32(0.8273), np.float32(0.9262), np.float32(0.8817), np.float32(0.4361), np.float32(0.0), np.float32(0.0), np.float32(0.8046), np.float32(0.8336), np.float32(0.6955), np.float32(0.6247), np.float32(0.0), np.float32(0.0), np.float32(0.8092), np.float32(0.6178), np.float32(0.8377), np.float32(0.6863), np.float32(0.3093), np.float32(0.7899), np.float32(0.9016), np.float32(0.9057), np.float32(0.6539), np.float32(0.6421), np.float32(0.3531), np.float32(0.8733), np.float32(0.591), np.float32(0.7236), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9537), np.float32(0.9691)] 
+2026-10-18 18:31:53.784481: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 18:31:54.081979: lr: 0.000868 
+2026-10-18 18:31:54.082234: This epoch took 247.066041 s
+ 
+2026-10-18 18:31:54.082324: 
+epoch:  145 
+2026-10-18 18:35:43.528061: train loss : -0.7512 
+2026-10-18 18:35:48.877414: validation loss: -0.6920 
+2026-10-18 18:35:48.878630: Average global foreground Dice: [np.float32(0.9419), np.float32(0.7583), np.float32(0.8683), np.float32(0.8783), np.float32(0.8169), np.float32(0.9257), np.float32(0.8878), np.float32(0.5465), np.float32(0.0), np.float32(0.0), np.float32(0.7953), np.float32(0.8384), np.float32(0.6822), np.float32(0.5819), np.float32(0.0), np.float32(0.0), np.float32(0.8284), np.float32(0.6268), np.float32(0.831), np.float32(0.7199), np.float32(0.3199), np.float32(0.7767), np.float32(0.9009), np.float32(0.8926), np.float32(0.6292), np.float32(0.6493), np.float32(0.4347), np.float32(0.7152), np.float32(0.6113), np.float32(0.7251), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9402), np.float32(0.963)] 
+2026-10-18 18:35:48.878901: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 18:35:49.163469: lr: 0.000868 
+2026-10-18 18:35:49.163886: This epoch took 235.081511 s
+ 
+2026-10-18 18:35:49.164192: 
+epoch:  146 
+2026-10-18 18:40:30.579980: train loss : -0.7440 
+2026-10-18 18:40:35.927780: validation loss: -0.6988 
+2026-10-18 18:40:35.928650: Average global foreground Dice: [np.float32(0.936), np.float32(0.7219), np.float32(0.871), np.float32(0.8899), np.float32(0.8337), np.float32(0.9348), np.float32(0.8901), np.float32(0.4145), np.float32(0.0), np.float32(0.0), np.float32(0.7916), np.float32(0.8447), np.float32(0.7089), np.float32(0.5793), np.float32(0.0), np.float32(0.0), np.float32(0.8283), np.float32(0.6353), np.float32(0.845), np.float32(0.7169), np.float32(0.3147), np.float32(0.7528), np.float32(0.8964), np.float32(0.9048), np.float32(0.6342), np.float32(0.653), np.float32(0.3701), np.float32(0.8577), np.float32(0.6684), np.float32(0.7456), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9575), np.float32(0.9668)] 
+2026-10-18 18:40:35.928820: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 18:40:36.210169: lr: 0.000867 
+2026-10-18 18:40:36.210449: This epoch took 287.046054 s
+ 
+2026-10-18 18:40:36.210779: 
+epoch:  147 
+2026-10-18 18:45:00.806309: train loss : -0.7575 
+2026-10-18 18:45:06.162505: validation loss: -0.6813 
+2026-10-18 18:45:06.163412: Average global foreground Dice: [np.float32(0.9432), np.float32(0.7015), np.float32(0.865), np.float32(0.8841), np.float32(0.7909), np.float32(0.9367), np.float32(0.8668), np.float32(0.7814), np.float32(0.0), np.float32(0.0), np.float32(0.7881), np.float32(0.8114), np.float32(0.6163), np.float32(0.5419), np.float32(0.0), np.float32(0.0), np.float32(0.8218), np.float32(0.6718), np.float32(0.8508), np.float32(0.7408), np.float32(0.363), np.float32(0.7544), np.float32(0.9317), np.float32(0.9179), np.float32(0.656), np.float32(0.6736), np.float32(0.3706), np.float32(0.8753), np.float32(0.5438), np.float32(0.6808), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9501), np.float32(0.9703)] 
+2026-10-18 18:45:06.163653: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 18:45:06.455127: lr: 0.000866 
+2026-10-18 18:45:06.455531: This epoch took 270.244545 s
+ 
+2026-10-18 18:45:06.455773: 
+epoch:  148 
+2026-10-18 18:49:42.656335: train loss : -0.7545 
+2026-10-18 18:49:48.016149: validation loss: -0.6863 
+2026-10-18 18:49:48.017121: Average global foreground Dice: [np.float32(0.9361), np.float32(0.7123), np.float32(0.8521), np.float32(0.8745), np.float32(0.8057), np.float32(0.9322), np.float32(0.8822), np.float32(0.8169), np.float32(0.0), np.float32(0.0), np.float32(0.7717), np.float32(0.8097), np.float32(0.6955), np.float32(0.6463), np.float32(0.0), np.float32(0.0), np.float32(0.8292), np.float32(0.6726), np.float32(0.8532), np.float32(0.7485), np.float32(0.3735), np.float32(0.7883), np.float32(0.9325), np.float32(0.9134), np.float32(0.669), np.float32(0.6825), np.float32(0.395), np.float32(0.8782), np.float32(0.6223), np.float32(0.6533), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9515), np.float32(0.9675)] 
+2026-10-18 18:49:48.017357: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 18:49:48.332032: lr: 0.000865 
+2026-10-18 18:49:48.332507: This epoch took 281.876639 s
+ 
+2026-10-18 18:49:48.332794: 
+epoch:  149 
+2026-10-18 18:54:10.289949: train loss : -0.7524 
+2026-10-18 18:54:15.637561: validation loss: -0.6968 
+2026-10-18 18:54:15.638784: Average global foreground Dice: [np.float32(0.9419), np.float32(0.7469), np.float32(0.8724), np.float32(0.9086), np.float32(0.8371), np.float32(0.9356), np.float32(0.8909), np.float32(0.7608), np.float32(0.0), np.float32(0.0), np.float32(0.7988), np.float32(0.8386), np.float32(0.6609), np.float32(0.4969), np.float32(0.0), np.float32(0.0), np.float32(0.7915), np.float32(0.6303), np.float32(0.8458), np.float32(0.6904), np.float32(0.2739), np.float32(0.7653), np.float32(0.9253), np.float32(0.9306), np.float32(0.6888), np.float32(0.6683), np.float32(0.417), np.float32(0.8507), np.float32(0.6171), np.float32(0.647), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.959), np.float32(0.968)] 
+2026-10-18 18:54:15.639264: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 18:54:15.920470: lr: 0.000864 
+2026-10-18 18:54:15.920840: saving scheduled checkpoint file... 
+2026-10-18 18:54:15.928932: saving checkpoint... 
+2026-10-18 18:54:16.055423: done, saving took 0.13 seconds 
+2026-10-18 18:54:16.056406: done 
+2026-10-18 18:54:16.056595: This epoch took 267.723460 s
+ 
+2026-10-18 18:54:16.056661: 
+epoch:  150 
+2026-10-18 18:58:51.563447: train loss : -0.7576 
+2026-10-18 18:58:56.917028: validation loss: -0.7023 
+2026-10-18 18:58:56.918194: Average global foreground Dice: [np.float32(0.9327), np.float32(0.7536), np.float32(0.8573), np.float32(0.8846), np.float32(0.8405), np.float32(0.9268), np.float32(0.874), np.float32(0.7374), np.float32(0.0), np.float32(0.269), np.float32(0.7775), np.float32(0.8237), np.float32(0.7133), np.float32(0.5764), np.float32(0.0), np.float32(0.0), np.float32(0.8376), np.float32(0.6579), np.float32(0.8493), np.float32(0.7274), np.float32(0.3677), np.float32(0.7853), np.float32(0.9286), np.float32(0.8794), np.float32(0.6474), np.float32(0.6665), np.float32(0.4319), np.float32(0.8446), np.float32(0.6641), np.float32(0.6488), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.0), np.float32(0.9594), np.float32(0.9691)] 
+2026-10-18 18:58:56.918501: (interpret this as an estimate for the Dice of the different classes. This is not exact.) 
+2026-10-18 18:58:57.200897: lr: 0.000863 
+2026-10-18 18:58:57.201334: This epoch took 281.144528 s
+ 
+2026-10-18 18:58:57.201706: 
+epoch:  151 
diff --git a/MedNeXt_Base/fold_0_MRA/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/plans.pkl b/MedNeXt_Base/fold_0_MRA/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/plans.pkl
new file mode 100644
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--- /dev/null
+++ b/MedNeXt_Base/fold_0_MRA/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/plans.pkl
@@ -0,0 +1,3 @@
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+size 7576