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MedNeXt_Base/fold_1/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/fold_1/debug.json

@@ -1,28 +1,28 @@
 {
-    "all_tr_losses": "[]",
-    "all_val_eval_metrics": "[]",
-    "all_val_losses": "[]",
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+    "all_val_losses": "[np.float32(-0.087872855), np.float32(-0.12076438), np.float32(-0.18725796), np.float32(-0.33754387), np.float32(-0.38727674), np.float32(-0.3948473), np.float32(-0.39974877), np.float32(-0.42445156), np.float32(-0.36016887), np.float32(-0.36184213), np.float32(-0.4620918), np.float32(-0.46901485), np.float32(-0.45250285), np.float32(-0.4167744), np.float32(-0.4505102), np.float32(-0.47962704), np.float32(-0.47389808), np.float32(-0.40671393), np.float32(-0.4008667), np.float32(-0.43510395), np.float32(-0.3981306), np.float32(-0.49479046), np.float32(-0.44799885), np.float32(-0.51504916), np.float32(-0.5302984), np.float32(-0.40885323), np.float32(-0.47965544), np.float32(-0.4842287), np.float32(-0.3270911), np.float32(-0.52332246), np.float32(-0.5439542), np.float32(-0.5093156), np.float32(-0.49581707), np.float32(-0.43374917), np.float32(-0.48983356), np.float32(-0.4491955), np.float32(-0.43180606), np.float32(-0.47305256), np.float32(-0.41450375), np.float32(-0.30283067), np.float32(-0.35823444), np.float32(-0.38787922), np.float32(-0.46296555), np.float32(-0.42216137), np.float32(-0.29296693), np.float32(-0.3872464), np.float32(-0.30031645), np.float32(-0.35371518), np.float32(-0.5583941), np.float32(-0.45297974), np.float32(-0.4295419), np.float32(-0.45082733), np.float32(-0.3483701), np.float32(-0.40606102), np.float32(-0.40274486), np.float32(-0.35274565), np.float32(-0.3701127), np.float32(-0.3245539), np.float32(-0.38491765), np.float32(-0.34316313), np.float32(-0.35335147), np.float32(-0.50617456), np.float32(-0.45387906), np.float32(-0.3894697), np.float32(-0.38632268), np.float32(-0.52456903), np.float32(-0.35850555), np.float32(-0.5004133), np.float32(-0.29260185), np.float32(-0.5649532), np.float32(-0.4304586), np.float32(-0.4512955), np.float32(-0.40949437), np.float32(-0.6165686), np.float32(-0.3309762), np.float32(-0.37366322), np.float32(-0.36406085), np.float32(-0.30982864), np.float32(-0.32582405), np.float32(-0.39785114), np.float32(-0.38767096), np.float32(-0.39887384), np.float32(-0.46052358), np.float32(-0.44831702), np.float32(-0.5873836), np.float32(-0.46554738), np.float32(-0.4751033), np.float32(-0.3944073), np.float32(-0.38925168), np.float32(-0.54067004), np.float32(-0.35715508), np.float32(-0.41771403), np.float32(-0.38553268), np.float32(-0.4806604), np.float32(-0.43360373), np.float32(-0.40782943), np.float32(-0.31121215), np.float32(-0.4377116), np.float32(-0.5537004), np.float32(-0.47155255), np.float32(-0.4625329), np.float32(-0.58026963), np.float32(-0.4771339), np.float32(-0.31337082), np.float32(-0.60579973), np.float32(-0.30740076), np.float32(-0.40346217), np.float32(-0.56743747), np.float32(-0.43498597), np.float32(-0.4449178), np.float32(-0.53000396), np.float32(-0.42801893), np.float32(-0.3883855), np.float32(-0.41310275), np.float32(-0.47026372), np.float32(-0.4916751), np.float32(-0.44708663), np.float32(-0.428909), np.float32(-0.3365038), np.float32(-0.40743464), np.float32(-0.30969992), np.float32(-0.47231537), np.float32(-0.3916529), np.float32(-0.32978204), np.float32(-0.2376054), np.float32(-0.39156032), np.float32(-0.56153387), np.float32(-0.33491096), np.float32(-0.2988381), np.float32(-0.41964844), np.float32(-0.53775907), np.float32(-0.41336337), np.float32(-0.36073086), np.float32(-0.5129612), np.float32(-0.3589186), np.float32(-0.46774712), np.float32(-0.50133955), np.float32(-0.40900335), np.float32(-0.48906574), np.float32(-0.530339), np.float32(-0.45159504), np.float32(-0.44846395), np.float32(-0.37163335), np.float32(-0.3672916), np.float32(-0.40524933), np.float32(-0.5695139), np.float32(-0.4430707), np.float32(-0.39538956), np.float32(-0.40970996), np.float32(-0.37603873)]",
     "all_val_losses_tr_mode": "[]",
     "also_val_in_tr_mode": "False",
-    "amp_grad_scaler": "None",
+    "amp_grad_scaler": "<torch.cuda.amp.grad_scaler.GradScaler object at 0x7f06d4850ec0>",
     "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",
+    "best_MA_tr_loss_for_patience": "-0.70342416",
+    "best_epoch_based_on_MA_tr_loss": "148",
+    "best_val_eval_criterion_MA": "0.3105384",
     "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 0x7f02c2c5a270>",
-    "dl_val": "<nnunet_mednext.training.dataloading.dataset_loading.DataLoader3D object at 0x7f02c2a7ce10>",
+    "dl_tr": "<nnunet_mednext.training.dataloading.dataset_loading.DataLoader3D object at 0x7f06d4a4e3c0>",
+    "dl_val": "<nnunet_mednext.training.dataloading.dataset_loading.DataLoader3D object at 0x7f06d487ce10>",
     "do_dummy_2D_aug": "False",
     "ds_loss_weights": "[0.51612903 0.25806452 0.12903226 0.06451613 0.03225806 0.        ]",
-    "epoch": "0",
+    "epoch": "150",
     "experiment_name": "nnUNetTrainerV2_MedNeXt_B_kernel3",
     "fold": "1",
     "folder_with_preprocessed_data": "/marimo/TopBrain2026/nnUNet_preprocessed/Task001_Brain2026/nnUNetData_plans_v2.1_trgSp_1x1x1_stage0",
@@ -32,7 +32,7 @@
     "inference_pad_kwargs": "{'constant_values': 0}",
     "init_args": "('/marimo/TopBrain2026/nnUNet_preprocessed/Task001_Brain2026/nnUNetPlansv2.1_trgSp_1x1x1_plans_3D.pkl', 1, '/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_1/training_log_2026_10_16_18_36_02.txt",
+    "log_file": "/marimo/TopBrain2026/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/fold_1/training_log_2026_10_17_06_02_05.txt",
     "lr_scheduler": "None",
     "lr_scheduler_eps": "0.001",
     "lr_scheduler_patience": "30",
@@ -53,7 +53,7 @@
     "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)",
+    "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: 0.0008639269723028191\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_1",
     "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",
@@ -71,7 +71,7 @@
     "save_latest_only": "True",
     "stage": "0",
     "threeD": "True",
-    "tr_gen": "<batchgenerators.dataloading.multi_threaded_augmenter.MultiThreadedAugmenter object at 0x7f02c2c5b8c0>",
+    "tr_gen": "<batchgenerators.dataloading.multi_threaded_augmenter.MultiThreadedAugmenter object at 0x7f06d4a4fa10>",
     "train_loss_MA": "None",
     "train_loss_MA_alpha": "0.93",
     "train_loss_MA_eps": "0.0005",
@@ -82,7 +82,7 @@
     "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 0x7f02c2a7dbd0>",
+    "val_gen": "<batchgenerators.dataloading.multi_threaded_augmenter.MultiThreadedAugmenter object at 0x7f06d487dbd0>",
     "was_initialized": "True",
     "weight_decay": "3e-05"
 }

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