Datasets:
ngaggion
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ChronoRoot_nnUNet

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1.16k
2025-01-20 17:26:56.109048:
2025-01-20 17:26:56.143487: Epoch 140
2025-01-20 17:26:56.143551: Current learning rate: 0.00873
2025-01-20 17:27:43.988685: train_loss -0.6921
2025-01-20 17:27:44.023808: val_loss -0.7043
2025-01-20 17:27:44.023874: Pseudo dice [np.float32(0.7626), np.float32(0.78), np.float32(0.8599), np.float32(0.745), np.float32(0.8895), np.float32(0.7755)]
2025-01-20 17:27:44.023920: Epoch time: 47.88 s
2025-01-20 17:27:44.023944: Yayy! New best EMA pseudo Dice: 0.7919999957084656
2025-01-20 17:27:44.880512:
2025-01-20 17:27:44.915835: Epoch 141
2025-01-20 17:27:44.915926: Current learning rate: 0.00872
2025-01-20 17:28:32.812754: train_loss -0.6886
2025-01-20 17:28:32.847809: val_loss -0.6825
2025-01-20 17:28:32.847866: Pseudo dice [np.float32(0.7482), np.float32(0.7293), np.float32(0.8637), np.float32(0.7298), np.float32(0.8907), np.float32(0.7739)]
2025-01-20 17:28:32.847903: Epoch time: 47.93 s
2025-01-20 17:28:33.315570:
2025-01-20 17:28:33.350013: Epoch 142
2025-01-20 17:28:33.350115: Current learning rate: 0.00871
2025-01-20 17:29:21.183590: train_loss -0.7003
2025-01-20 17:29:21.218740: val_loss -0.7133
2025-01-20 17:29:21.218810: Pseudo dice [np.float32(0.7449), np.float32(0.7737), np.float32(0.8517), np.float32(0.7348), np.float32(0.8812), np.float32(0.7829)]
2025-01-20 17:29:21.218851: Epoch time: 47.87 s
2025-01-20 17:29:21.218895: Yayy! New best EMA pseudo Dice: 0.7921000123023987
2025-01-20 17:29:22.068806:
2025-01-20 17:29:22.104202: Epoch 143
2025-01-20 17:29:22.104296: Current learning rate: 0.0087
2025-01-20 17:30:09.931695: train_loss -0.6964
2025-01-20 17:30:09.966859: val_loss -0.6767
2025-01-20 17:30:09.966925: Pseudo dice [np.float32(0.7273), np.float32(0.7338), np.float32(0.8454), np.float32(0.7637), np.float32(0.8594), np.float32(0.7655)]
2025-01-20 17:30:09.966962: Epoch time: 47.86 s
2025-01-20 17:30:10.436169:
2025-01-20 17:30:10.470692: Epoch 144
2025-01-20 17:30:10.470798: Current learning rate: 0.00869
2025-01-20 17:30:58.273143: train_loss -0.7059
2025-01-20 17:30:58.308135: val_loss -0.6928
2025-01-20 17:30:58.308191: Pseudo dice [np.float32(0.748), np.float32(0.7162), np.float32(0.8515), np.float32(0.7373), np.float32(0.8954), np.float32(0.7711)]
2025-01-20 17:30:58.308229: Epoch time: 47.84 s
2025-01-20 17:30:58.776934:
2025-01-20 17:30:58.811408: Epoch 145
2025-01-20 17:30:58.811495: Current learning rate: 0.00868
2025-01-20 17:31:46.602835: train_loss -0.7062
2025-01-20 17:31:46.637941: val_loss -0.7065
2025-01-20 17:31:46.637996: Pseudo dice [np.float32(0.7682), np.float32(0.7673), np.float32(0.856), np.float32(0.7661), np.float32(0.8774), np.float32(0.7795)]
2025-01-20 17:31:46.638036: Epoch time: 47.83 s
2025-01-20 17:31:47.218025:
2025-01-20 17:31:47.252448: Epoch 146
2025-01-20 17:31:47.252534: Current learning rate: 0.00868
2025-01-20 17:32:35.069548: train_loss -0.7058
2025-01-20 17:32:35.104650: val_loss -0.695
2025-01-20 17:32:35.104713: Pseudo dice [np.float32(0.763), np.float32(0.753), np.float32(0.869), np.float32(0.7634), np.float32(0.8829), np.float32(0.7799)]
2025-01-20 17:32:35.104768: Epoch time: 47.85 s
2025-01-20 17:32:35.104802: Yayy! New best EMA pseudo Dice: 0.7928000092506409
2025-01-20 17:32:35.960188:
2025-01-20 17:32:35.965512: Epoch 147
2025-01-20 17:32:35.965597: Current learning rate: 0.00867
2025-01-20 17:33:23.821296: train_loss -0.6979
2025-01-20 17:33:23.856425: val_loss -0.7026
2025-01-20 17:33:23.856506: Pseudo dice [np.float32(0.7438), np.float32(0.7417), np.float32(0.8545), np.float32(0.7403), np.float32(0.899), np.float32(0.7731)]
2025-01-20 17:33:23.856551: Epoch time: 47.86 s
2025-01-20 17:33:24.326643:
2025-01-20 17:33:24.361095: Epoch 148
2025-01-20 17:33:24.361194: Current learning rate: 0.00866
2025-01-20 17:34:12.154099: train_loss -0.7113
2025-01-20 17:34:12.189206: val_loss -0.6904
2025-01-20 17:34:12.189349: Pseudo dice [np.float32(0.7423), np.float32(0.7685), np.float32(0.855), np.float32(0.7401), np.float32(0.8871), np.float32(0.7671)]
2025-01-20 17:34:12.189416: Epoch time: 47.83 s
2025-01-20 17:34:12.660481:
2025-01-20 17:34:12.694991: Epoch 149
2025-01-20 17:34:12.695079: Current learning rate: 0.00865
2025-01-20 17:35:00.470268: train_loss -0.696
2025-01-20 17:35:00.505373: val_loss -0.6872
2025-01-20 17:35:00.505426: Pseudo dice [np.float32(0.7551), np.float32(0.75), np.float32(0.8646), np.float32(0.7353), np.float32(0.8995), np.float32(0.767)]
2025-01-20 17:35:00.505469: Epoch time: 47.81 s
2025-01-20 17:35:00.890526: Yayy! New best EMA pseudo Dice: 0.7930999994277954
2025-01-20 17:35:01.709157:
2025-01-20 17:35:01.744292: Epoch 150
2025-01-20 17:35:01.744365: Current learning rate: 0.00864
2025-01-20 17:35:49.543472: train_loss -0.7122
2025-01-20 17:35:49.578599: val_loss -0.6739
2025-01-20 17:35:49.578658: Pseudo dice [np.float32(0.7562), np.float32(0.7795), np.float32(0.8605), np.float32(0.7384), np.float32(0.8845), np.float32(0.7686)]
2025-01-20 17:35:49.578720: Epoch time: 47.83 s
2025-01-20 17:35:49.578755: Yayy! New best EMA pseudo Dice: 0.7936000227928162
2025-01-20 17:35:50.426494:
2025-01-20 17:35:50.428736: Epoch 151
2025-01-20 17:35:50.428801: Current learning rate: 0.00863
2025-01-20 17:36:38.222555: train_loss -0.7125
2025-01-20 17:36:38.257756: val_loss -0.7013
2025-01-20 17:36:38.257815: Pseudo dice [np.float32(0.7491), np.float32(0.7445), np.float32(0.8539), np.float32(0.7636), np.float32(0.8905), np.float32(0.773)]
2025-01-20 17:36:38.257858: Epoch time: 47.8 s
2025-01-20 17:36:38.257883: Yayy! New best EMA pseudo Dice: 0.7937999963760376
2025-01-20 17:36:39.107644:
2025-01-20 17:36:39.142932: Epoch 152
2025-01-20 17:36:39.143019: Current learning rate: 0.00862
2025-01-20 17:37:26.890294: train_loss -0.7125
2025-01-20 17:37:26.925414: val_loss -0.6951
2025-01-20 17:37:26.925475: Pseudo dice [np.float32(0.7492), np.float32(0.7736), np.float32(0.8471), np.float32(0.7449), np.float32(0.8856), np.float32(0.7736)]
2025-01-20 17:37:26.925511: Epoch time: 47.78 s
2025-01-20 17:37:26.925538: Yayy! New best EMA pseudo Dice: 0.7940000295639038
2025-01-20 17:37:27.886145:
2025-01-20 17:37:27.886469: Epoch 153