Datasets:
pyushkevich
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crashs_template_package

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2023-08-02 22:09:42.615566: Pseudo dice [0.882]
2023-08-02 22:09:42.615610: Epoch time: 62.44 s
2023-08-02 22:09:42.615648: Yayy! New best EMA pseudo Dice: 0.8086
2023-08-02 22:09:44.639131:
2023-08-02 22:09:44.639232: Epoch 10
2023-08-02 22:09:44.639312: Current learning rate: 0.00977
2023-08-02 22:10:47.065099: train_loss -0.8551
2023-08-02 22:10:47.065231: val_loss -0.8627
2023-08-02 22:10:47.065272: Pseudo dice [0.8874]
2023-08-02 22:10:47.065317: Epoch time: 62.43 s
2023-08-02 22:10:47.065353: Yayy! New best EMA pseudo Dice: 0.8165
2023-08-02 22:10:49.067638:
2023-08-02 22:10:49.067831: Epoch 11
2023-08-02 22:10:49.067918: Current learning rate: 0.00975
2023-08-02 22:11:51.506634: train_loss -0.8615
2023-08-02 22:11:51.506769: val_loss -0.871
2023-08-02 22:11:51.506809: Pseudo dice [0.8962]
2023-08-02 22:11:51.506856: Epoch time: 62.44 s
2023-08-02 22:11:51.506893: Yayy! New best EMA pseudo Dice: 0.8245
2023-08-02 22:11:53.543843:
2023-08-02 22:11:53.543948: Epoch 12
2023-08-02 22:11:53.544026: Current learning rate: 0.00973
2023-08-02 22:12:55.988752: train_loss -0.8674
2023-08-02 22:12:55.988912: val_loss -0.8702
2023-08-02 22:12:55.988955: Pseudo dice [0.8949]
2023-08-02 22:12:55.989003: Epoch time: 62.45 s
2023-08-02 22:12:55.989042: Yayy! New best EMA pseudo Dice: 0.8315
2023-08-02 22:12:57.980758:
2023-08-02 22:12:57.980862: Epoch 13
2023-08-02 22:12:57.980943: Current learning rate: 0.00971
2023-08-02 22:14:00.426886: train_loss -0.8691
2023-08-02 22:14:00.427039: val_loss -0.869
2023-08-02 22:14:00.427079: Pseudo dice [0.8944]
2023-08-02 22:14:00.427125: Epoch time: 62.45 s
2023-08-02 22:14:00.427162: Yayy! New best EMA pseudo Dice: 0.8378
2023-08-02 22:14:02.514586:
2023-08-02 22:14:02.514686: Epoch 14
2023-08-02 22:14:02.514771: Current learning rate: 0.00968
2023-08-02 22:15:04.942856: train_loss -0.8668
2023-08-02 22:15:04.942999: val_loss -0.8683
2023-08-02 22:15:04.943039: Pseudo dice [0.8932]
2023-08-02 22:15:04.943084: Epoch time: 62.43 s
2023-08-02 22:15:04.943121: Yayy! New best EMA pseudo Dice: 0.8433
2023-08-02 22:15:06.929019:
2023-08-02 22:15:06.929123: Epoch 15
2023-08-02 22:15:06.929206: Current learning rate: 0.00966
2023-08-02 22:16:09.367312: train_loss -0.871
2023-08-02 22:16:09.367457: val_loss -0.8732
2023-08-02 22:16:09.367498: Pseudo dice [0.8979]
2023-08-02 22:16:09.367543: Epoch time: 62.44 s
2023-08-02 22:16:09.367580: Yayy! New best EMA pseudo Dice: 0.8488
2023-08-02 22:16:11.422161:
2023-08-02 22:16:11.422272: Epoch 16
2023-08-02 22:16:11.422355: Current learning rate: 0.00964
2023-08-02 22:17:13.864832: train_loss -0.8723
2023-08-02 22:17:13.864995: val_loss -0.8759
2023-08-02 22:17:13.865037: Pseudo dice [0.8993]
2023-08-02 22:17:13.865082: Epoch time: 62.44 s
2023-08-02 22:17:13.865119: Yayy! New best EMA pseudo Dice: 0.8538
2023-08-02 22:17:16.023881:
2023-08-02 22:17:16.023984: Epoch 17
2023-08-02 22:17:16.024064: Current learning rate: 0.00962
2023-08-02 22:18:18.473989: train_loss -0.8757
2023-08-02 22:18:18.474515: val_loss -0.8776
2023-08-02 22:18:18.474561: Pseudo dice [0.9008]
2023-08-02 22:18:18.474606: Epoch time: 62.45 s
2023-08-02 22:18:18.474646: Yayy! New best EMA pseudo Dice: 0.8585
2023-08-02 22:18:20.504822:
2023-08-02 22:18:20.504925: Epoch 18
2023-08-02 22:18:20.505006: Current learning rate: 0.00959
2023-08-02 22:19:22.951576: train_loss -0.8798
2023-08-02 22:19:22.951719: val_loss -0.8806
2023-08-02 22:19:22.951759: Pseudo dice [0.9022]
2023-08-02 22:19:22.951805: Epoch time: 62.45 s
2023-08-02 22:19:22.951842: Yayy! New best EMA pseudo Dice: 0.8629
2023-08-02 22:19:24.946313:
2023-08-02 22:19:24.946442: Epoch 19
2023-08-02 22:19:24.946525: Current learning rate: 0.00957
2023-08-02 22:20:27.416194: train_loss -0.8808
2023-08-02 22:20:27.416327: val_loss -0.8782
2023-08-02 22:20:27.416368: Pseudo dice [0.9008]
2023-08-02 22:20:27.416413: Epoch time: 62.47 s
2023-08-02 22:20:27.416449: Yayy! New best EMA pseudo Dice: 0.8667
2023-08-02 22:20:29.436467:
2023-08-02 22:20:29.436574: Epoch 20
2023-08-02 22:20:29.436657: Current learning rate: 0.00955
2023-08-02 22:21:31.853785: train_loss -0.8801
2023-08-02 22:21:31.853923: val_loss -0.8801
2023-08-02 22:21:31.853963: Pseudo dice [0.9025]
2023-08-02 22:21:31.854007: Epoch time: 62.42 s
2023-08-02 22:21:31.854045: Yayy! New best EMA pseudo Dice: 0.8703
2023-08-02 22:21:34.013950:
2023-08-02 22:21:34.014055: Epoch 21
2023-08-02 22:21:34.014133: Current learning rate: 0.00953
2023-08-02 22:22:36.454696: train_loss -0.8835
2023-08-02 22:22:36.454844: val_loss -0.8797
2023-08-02 22:22:36.454884: Pseudo dice [0.9008]
2023-08-02 22:22:36.454931: Epoch time: 62.44 s
2023-08-02 22:22:36.454967: Yayy! New best EMA pseudo Dice: 0.8733
2023-08-02 22:22:38.501144: