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pyushkevich
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crashs_template_package

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2023-08-02 23:03:26.027446: Yayy! New best EMA pseudo Dice: 0.9102
2023-08-02 23:03:28.073380:
2023-08-02 23:03:28.073482: Epoch 60
2023-08-02 23:03:28.073565: Current learning rate: 0.00864
2023-08-02 23:04:30.508487: train_loss -0.9096
2023-08-02 23:04:30.508630: val_loss -0.8962
2023-08-02 23:04:30.508672: Pseudo dice [0.9147]
2023-08-02 23:04:30.508718: Epoch time: 62.44 s
2023-08-02 23:04:30.508757: Yayy! New best EMA pseudo Dice: 0.9107
2023-08-02 23:04:32.637127:
2023-08-02 23:04:32.637220: Epoch 61
2023-08-02 23:04:32.637303: Current learning rate: 0.00862
2023-08-02 23:05:35.092652: train_loss -0.9089
2023-08-02 23:05:35.092793: val_loss -0.8946
2023-08-02 23:05:35.092832: Pseudo dice [0.9138]
2023-08-02 23:05:35.092876: Epoch time: 62.46 s
2023-08-02 23:05:35.092912: Yayy! New best EMA pseudo Dice: 0.911
2023-08-02 23:05:37.205933:
2023-08-02 23:05:37.206039: Epoch 62
2023-08-02 23:05:37.206120: Current learning rate: 0.00859
2023-08-02 23:06:39.642988: train_loss -0.9127
2023-08-02 23:06:39.643131: val_loss -0.8945
2023-08-02 23:06:39.643173: Pseudo dice [0.9138]
2023-08-02 23:06:39.643219: Epoch time: 62.44 s
2023-08-02 23:06:39.643257: Yayy! New best EMA pseudo Dice: 0.9113
2023-08-02 23:06:41.771161:
2023-08-02 23:06:41.771266: Epoch 63
2023-08-02 23:06:41.771346: Current learning rate: 0.00857
2023-08-02 23:07:44.254513: train_loss -0.913
2023-08-02 23:07:44.254662: val_loss -0.8978
2023-08-02 23:07:44.254702: Pseudo dice [0.917]
2023-08-02 23:07:44.254749: Epoch time: 62.48 s
2023-08-02 23:07:44.254786: Yayy! New best EMA pseudo Dice: 0.9118
2023-08-02 23:07:46.240313:
2023-08-02 23:07:46.240416: Epoch 64
2023-08-02 23:07:46.240498: Current learning rate: 0.00855
2023-08-02 23:08:48.723367: train_loss -0.9118
2023-08-02 23:08:48.723510: val_loss -0.894
2023-08-02 23:08:48.723551: Pseudo dice [0.9118]
2023-08-02 23:08:48.723595: Epoch time: 62.48 s
2023-08-02 23:08:49.487901:
2023-08-02 23:08:49.487999: Epoch 65
2023-08-02 23:08:49.488080: Current learning rate: 0.00852
2023-08-02 23:09:51.931162: train_loss -0.9132
2023-08-02 23:09:51.931303: val_loss -0.8988
2023-08-02 23:09:51.931344: Pseudo dice [0.916]
2023-08-02 23:09:51.931390: Epoch time: 62.44 s
2023-08-02 23:09:51.931428: Yayy! New best EMA pseudo Dice: 0.9122
2023-08-02 23:09:54.047901:
2023-08-02 23:09:54.048001: Epoch 66
2023-08-02 23:09:54.048079: Current learning rate: 0.0085
2023-08-02 23:10:56.530187: train_loss -0.91
2023-08-02 23:10:56.530334: val_loss -0.8963
2023-08-02 23:10:56.530376: Pseudo dice [0.9145]
2023-08-02 23:10:56.530432: Epoch time: 62.48 s
2023-08-02 23:10:56.530471: Yayy! New best EMA pseudo Dice: 0.9125
2023-08-02 23:10:58.497072:
2023-08-02 23:10:58.497182: Epoch 67
2023-08-02 23:10:58.497262: Current learning rate: 0.00848
2023-08-02 23:12:00.956740: train_loss -0.912
2023-08-02 23:12:00.956895: val_loss -0.8977
2023-08-02 23:12:00.956939: Pseudo dice [0.9156]
2023-08-02 23:12:00.956988: Epoch time: 62.46 s
2023-08-02 23:12:00.957025: Yayy! New best EMA pseudo Dice: 0.9128
2023-08-02 23:12:03.098059:
2023-08-02 23:12:03.098168: Epoch 68
2023-08-02 23:12:03.098251: Current learning rate: 0.00846
2023-08-02 23:13:05.551623: train_loss -0.9137
2023-08-02 23:13:05.551766: val_loss -0.8965
2023-08-02 23:13:05.551807: Pseudo dice [0.9157]
2023-08-02 23:13:05.551855: Epoch time: 62.45 s
2023-08-02 23:13:05.551892: Yayy! New best EMA pseudo Dice: 0.9131
2023-08-02 23:13:07.552590:
2023-08-02 23:13:07.552691: Epoch 69
2023-08-02 23:13:07.552772: Current learning rate: 0.00843
2023-08-02 23:14:10.007096: train_loss -0.915
2023-08-02 23:14:10.007231: val_loss -0.8947
2023-08-02 23:14:10.007273: Pseudo dice [0.9135]
2023-08-02 23:14:10.007319: Epoch time: 62.46 s
2023-08-02 23:14:10.007357: Yayy! New best EMA pseudo Dice: 0.9131
2023-08-02 23:14:12.054973:
2023-08-02 23:14:12.055074: Epoch 70
2023-08-02 23:14:12.055152: Current learning rate: 0.00841
2023-08-02 23:15:14.504774: train_loss -0.9126
2023-08-02 23:15:14.504919: val_loss -0.8972
2023-08-02 23:15:14.504959: Pseudo dice [0.9143]
2023-08-02 23:15:14.505006: Epoch time: 62.45 s
2023-08-02 23:15:14.505044: Yayy! New best EMA pseudo Dice: 0.9132
2023-08-02 23:15:16.693295:
2023-08-02 23:15:16.693394: Epoch 71
2023-08-02 23:15:16.693481: Current learning rate: 0.00839
2023-08-02 23:16:19.172887: train_loss -0.914
2023-08-02 23:16:19.173025: val_loss -0.8989
2023-08-02 23:16:19.173068: Pseudo dice [0.9157]
2023-08-02 23:16:19.173113: Epoch time: 62.48 s
2023-08-02 23:16:19.173151: Yayy! New best EMA pseudo Dice: 0.9135
2023-08-02 23:16:21.143930:
2023-08-02 23:16:21.144029: Epoch 72
2023-08-02 23:16:21.144109: Current learning rate: 0.00836
2023-08-02 23:17:23.595521: train_loss -0.9153