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MedNeXt_Base/fold_0_MRA/nnUNet_results/nnUNet/3d_fullres/Task001_Brain2026/nnUNetTrainerV2_MedNeXt_B_kernel3__nnUNetPlansv2.1_trgSp_1x1x1/fold_0/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(-0.13891171), np.float32(-0.18862052), np.float32(-0.27527642), np.float32(-0.4297609), np.float32(-0.54049027), np.float32(-0.54770553), np.float32(-0.58129156), np.float32(-0.5537441), np.float32(-0.6064613), np.float32(-0.5958266), np.float32(-0.5898377), np.float32(-0.58940816), np.float32(-0.6242577), np.float32(-0.6002115), np.float32(-0.6002398), np.float32(-0.64023215), np.float32(-0.6449814), np.float32(-0.5997826), np.float32(-0.64444697), np.float32(-0.648876), np.float32(-0.64477813), np.float32(-0.6378507), np.float32(-0.6434373), np.float32(-0.64476156), np.float32(-0.64833254), np.float32(-0.6455078), np.float32(-0.6556549), np.float32(-0.6378731), np.float32(-0.63279366), np.float32(-0.65044314), np.float32(-0.6294291), np.float32(-0.66389334), np.float32(-0.6640007), np.float32(-0.6616254), np.float32(-0.66669065), np.float32(-0.6777987), np.float32(-0.664281), np.float32(-0.6360865), np.float32(-0.63653404), np.float32(-0.6596195), np.float32(-0.6696193), np.float32(-0.57045805), np.float32(-0.66153586), np.float32(-0.6767838), np.float32(-0.6621902), np.float32(-0.6722601), np.float32(-0.6481445), np.float32(-0.6402954), np.float32(-0.6728914), np.float32(-0.6771526), np.float32(-0.6670751), np.float32(-0.6603112), np.float32(-0.6588047), np.float32(-0.66034734), np.float32(-0.68105817), np.float32(-0.6493907), np.float32(-0.67164636), np.float32(-0.6050971), np.float32(-0.6631946), np.float32(-0.6805749), np.float32(-0.6735513), np.float32(-0.67058146), np.float32(-0.67234206), np.float32(-0.66152483), np.float32(-0.6698024), np.float32(-0.65480924), np.float32(-0.6376995), np.float32(-0.6622743), np.float32(-0.67514414), np.float32(-0.6725996), np.float32(-0.68162555), np.float32(-0.68050635), np.float32(-0.68147206), np.float32(-0.6894269), np.float32(-0.68230134), np.float32(-0.6784141), np.float32(-0.689563), np.float32(-0.6798328), np.float32(-0.68488264), np.float32(-0.68433416), np.float32(-0.66806847), np.float32(-0.68567747), np.float32(-0.68608534), np.float32(-0.6657856), np.float32(-0.6806371), np.float32(-0.68522704), np.float32(-0.68429923), np.float32(-0.68005705), np.float32(-0.67855537), np.float32(-0.6744205), np.float32(-0.68231046), np.float32(-0.67377794), np.float32(-0.68710274), np.float32(-0.6731494), np.float32(-0.68342584), np.float32(-0.6979917), np.float32(-0.68674475), np.float32(-0.66333956), np.float32(-0.6848276), np.float32(-0.68224114), np.float32(-0.69371474), np.float32(-0.7029247), np.float32(-0.6758414), np.float32(-0.70015746), np.float32(-0.688315), np.float32(-0.69088334), np.float32(-0.660208), np.float32(-0.6822543), np.float32(-0.7015041), np.float32(-0.68673724), np.float32(-0.68340623), np.float32(-0.68413115), np.float32(-0.69866925), np.float32(-0.68427), np.float32(-0.6926604), np.float32(-0.6910901), np.float32(-0.68377435), np.float32(-0.6888629), np.float32(-0.692942), np.float32(-0.67623407), np.float32(-0.67599493), np.float32(-0.69530123), np.float32(-0.7065623), np.float32(-0.6856695), np.float32(-0.6901111), np.float32(-0.6906693), np.float32(-0.6999477), np.float32(-0.67912793), np.float32(-0.6855784), np.float32(-0.6732365), np.float32(-0.69205725), np.float32(-0.67903817), np.float32(-0.69364244), np.float32(-0.6824643), np.float32(-0.6838267), np.float32(-0.69457835), np.float32(-0.67736214), np.float32(-0.687075), np.float32(-0.69551116), np.float32(-0.6894928), np.float32(-0.6751489), np.float32(-0.693892), np.float32(-0.6657675), np.float32(-0.6983433), np.float32(-0.6920445), np.float32(-0.6920022), np.float32(-0.6987696), np.float32(-0.68133575), np.float32(-0.68630743), np.float32(-0.69681287)]",
     "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 0x7f1c56ffcd70>",
     "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": "-0.74407077",
+    "best_epoch_based_on_MA_tr_loss": "148",
+    "best_val_eval_criterion_MA": "0.59173995",
     "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>",
+    "dl_tr": "<nnunet_mednext.training.dataloading.dataset_loading.DataLoader3D object at 0x7f1c571ee270>",
+    "dl_val": "<nnunet_mednext.training.dataloading.dataset_loading.DataLoader3D object at 0x7f1c57020e10>",
     "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": "0",
     "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', 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",
+    "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_20_06_50.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_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",
@@ -71,7 +71,7 @@
     "save_latest_only": "True",
     "stage": "0",
     "threeD": "True",
-    "tr_gen": "<batchgenerators.dataloading.multi_threaded_augmenter.MultiThreadedAugmenter object at 0x7f45a6e47620>",
+    "tr_gen": "<batchgenerators.dataloading.multi_threaded_augmenter.MultiThreadedAugmenter object at 0x7f1c571ef8c0>",
     "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 0x7f45a6ed1450>",
+    "val_gen": "<batchgenerators.dataloading.multi_threaded_augmenter.MultiThreadedAugmenter object at 0x7f1c57021bd0>",
     "was_initialized": "True",
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