Datasets:
pyushkevich
/
crashs_template_package

Dataset card Data Studio Files
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1.22k
2023-08-02 22:22:38.501242: Epoch 22
2023-08-02 22:22:38.501323: Current learning rate: 0.0095
2023-08-02 22:23:40.941499: train_loss -0.884
2023-08-02 22:23:40.941647: val_loss -0.881
2023-08-02 22:23:40.941686: Pseudo dice [0.9025]
2023-08-02 22:23:40.941732: Epoch time: 62.44 s
2023-08-02 22:23:40.941769: Yayy! New best EMA pseudo Dice: 0.8762
2023-08-02 22:23:42.968514:
2023-08-02 22:23:42.968611: Epoch 23
2023-08-02 22:23:42.968694: Current learning rate: 0.00948
2023-08-02 22:24:45.414267: train_loss -0.8846
2023-08-02 22:24:45.414411: val_loss -0.8849
2023-08-02 22:24:45.414451: Pseudo dice [0.9064]
2023-08-02 22:24:45.414497: Epoch time: 62.45 s
2023-08-02 22:24:45.414536: Yayy! New best EMA pseudo Dice: 0.8793
2023-08-02 22:24:47.703330:
2023-08-02 22:24:47.703427: Epoch 24
2023-08-02 22:24:47.703507: Current learning rate: 0.00946
2023-08-02 22:25:50.182875: train_loss -0.8885
2023-08-02 22:25:50.183016: val_loss -0.8813
2023-08-02 22:25:50.183056: Pseudo dice [0.902]
2023-08-02 22:25:50.183100: Epoch time: 62.48 s
2023-08-02 22:25:50.183136: Yayy! New best EMA pseudo Dice: 0.8815
2023-08-02 22:25:52.190716:
2023-08-02 22:25:52.190818: Epoch 25
2023-08-02 22:25:52.190899: Current learning rate: 0.00944
2023-08-02 22:26:54.653132: train_loss -0.8879
2023-08-02 22:26:54.653277: val_loss -0.8808
2023-08-02 22:26:54.653319: Pseudo dice [0.9008]
2023-08-02 22:26:54.653364: Epoch time: 62.46 s
2023-08-02 22:26:54.653401: Yayy! New best EMA pseudo Dice: 0.8835
2023-08-02 22:26:56.807202:
2023-08-02 22:26:56.807304: Epoch 26
2023-08-02 22:26:56.807387: Current learning rate: 0.00941
2023-08-02 22:27:59.266495: train_loss -0.8921
2023-08-02 22:27:59.266638: val_loss -0.8858
2023-08-02 22:27:59.266679: Pseudo dice [0.9063]
2023-08-02 22:27:59.266724: Epoch time: 62.46 s
2023-08-02 22:27:59.266760: Yayy! New best EMA pseudo Dice: 0.8857
2023-08-02 22:28:01.364055:
2023-08-02 22:28:01.364162: Epoch 27
2023-08-02 22:28:01.364240: Current learning rate: 0.00939
2023-08-02 22:29:03.826863: train_loss -0.8915
2023-08-02 22:29:03.827004: val_loss -0.8887
2023-08-02 22:29:03.827046: Pseudo dice [0.9094]
2023-08-02 22:29:03.827092: Epoch time: 62.46 s
2023-08-02 22:29:03.827129: Yayy! New best EMA pseudo Dice: 0.8881
2023-08-02 22:29:05.881320:
2023-08-02 22:29:05.881418: Epoch 28
2023-08-02 22:29:05.881500: Current learning rate: 0.00937
2023-08-02 22:30:08.325882: train_loss -0.8918
2023-08-02 22:30:08.326023: val_loss -0.8855
2023-08-02 22:30:08.326063: Pseudo dice [0.9051]
2023-08-02 22:30:08.326108: Epoch time: 62.45 s
2023-08-02 22:30:08.326145: Yayy! New best EMA pseudo Dice: 0.8898
2023-08-02 22:30:10.284513:
2023-08-02 22:30:10.284615: Epoch 29
2023-08-02 22:30:10.284695: Current learning rate: 0.00935
2023-08-02 22:31:12.702713: train_loss -0.8914
2023-08-02 22:31:12.702858: val_loss -0.8873
2023-08-02 22:31:12.702899: Pseudo dice [0.9075]
2023-08-02 22:31:12.702945: Epoch time: 62.42 s
2023-08-02 22:31:12.702982: Yayy! New best EMA pseudo Dice: 0.8916
2023-08-02 22:31:14.702812:
2023-08-02 22:31:14.702944: Epoch 30
2023-08-02 22:31:14.703024: Current learning rate: 0.00932
2023-08-02 22:32:17.169714: train_loss -0.8937
2023-08-02 22:32:17.169860: val_loss -0.8879
2023-08-02 22:32:17.169901: Pseudo dice [0.9079]
2023-08-02 22:32:17.169946: Epoch time: 62.47 s
2023-08-02 22:32:17.169984: Yayy! New best EMA pseudo Dice: 0.8932
2023-08-02 22:32:19.306884:
2023-08-02 22:32:19.306981: Epoch 31
2023-08-02 22:32:19.307065: Current learning rate: 0.0093
2023-08-02 22:33:21.787482: train_loss -0.8968
2023-08-02 22:33:21.787628: val_loss -0.886
2023-08-02 22:33:21.787668: Pseudo dice [0.9057]
2023-08-02 22:33:21.787712: Epoch time: 62.48 s
2023-08-02 22:33:21.787750: Yayy! New best EMA pseudo Dice: 0.8945
2023-08-02 22:33:23.924340:
2023-08-02 22:33:23.924449: Epoch 32
2023-08-02 22:33:23.924530: Current learning rate: 0.00928
2023-08-02 22:34:26.385773: train_loss -0.8949
2023-08-02 22:34:26.385910: val_loss -0.8886
2023-08-02 22:34:26.385950: Pseudo dice [0.9088]
2023-08-02 22:34:26.385996: Epoch time: 62.46 s
2023-08-02 22:34:26.386032: Yayy! New best EMA pseudo Dice: 0.8959
2023-08-02 22:34:28.349600:
2023-08-02 22:34:28.349701: Epoch 33
2023-08-02 22:34:28.349780: Current learning rate: 0.00925
2023-08-02 22:35:30.790017: train_loss -0.8956
2023-08-02 22:35:30.790171: val_loss -0.888
2023-08-02 22:35:30.790212: Pseudo dice [0.9078]
2023-08-02 22:35:30.790263: Epoch time: 62.44 s
2023-08-02 22:35:30.790304: Yayy! New best EMA pseudo Dice: 0.8971
2023-08-02 22:35:32.754030:
2023-08-02 22:35:32.754134: Epoch 34
2023-08-02 22:35:32.754216: Current learning rate: 0.00923
2023-08-02 22:36:35.209169: train_loss -0.8968
2023-08-02 22:36:35.209302: val_loss -0.887