Datasets:
pyushkevich
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crashs_template_package

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2023-08-02 23:17:23.595675: val_loss -0.8988
2023-08-02 23:17:23.595716: Pseudo dice [0.9158]
2023-08-02 23:17:23.595761: Epoch time: 62.45 s
2023-08-02 23:17:23.595800: Yayy! New best EMA pseudo Dice: 0.9137
2023-08-02 23:17:25.628044:
2023-08-02 23:17:25.628153: Epoch 73
2023-08-02 23:17:25.628235: Current learning rate: 0.00834
2023-08-02 23:18:28.107209: train_loss -0.9162
2023-08-02 23:18:28.107348: val_loss -0.8971
2023-08-02 23:18:28.107390: Pseudo dice [0.9149]
2023-08-02 23:18:28.107436: Epoch time: 62.48 s
2023-08-02 23:18:28.107474: Yayy! New best EMA pseudo Dice: 0.9138
2023-08-02 23:18:30.560571:
2023-08-02 23:18:30.560675: Epoch 74
2023-08-02 23:18:30.560755: Current learning rate: 0.00832
2023-08-02 23:19:33.029868: train_loss -0.9165
2023-08-02 23:19:33.030016: val_loss -0.8995
2023-08-02 23:19:33.030057: Pseudo dice [0.9176]
2023-08-02 23:19:33.030103: Epoch time: 62.47 s
2023-08-02 23:19:33.030140: Yayy! New best EMA pseudo Dice: 0.9142
2023-08-02 23:19:35.088122:
2023-08-02 23:19:35.088228: Epoch 75
2023-08-02 23:19:35.088310: Current learning rate: 0.0083
2023-08-02 23:20:37.514961: train_loss -0.9125
2023-08-02 23:20:37.515108: val_loss -0.8953
2023-08-02 23:20:37.515149: Pseudo dice [0.914]
2023-08-02 23:20:37.515201: Epoch time: 62.43 s
2023-08-02 23:20:38.291896:
2023-08-02 23:20:38.291998: Epoch 76
2023-08-02 23:20:38.292078: Current learning rate: 0.00827
2023-08-02 23:21:40.716036: train_loss -0.9142
2023-08-02 23:21:40.716178: val_loss -0.8997
2023-08-02 23:21:40.716218: Pseudo dice [0.9172]
2023-08-02 23:21:40.716263: Epoch time: 62.42 s
2023-08-02 23:21:40.716299: Yayy! New best EMA pseudo Dice: 0.9145
2023-08-02 23:21:42.813266:
2023-08-02 23:21:42.813416: Epoch 77
2023-08-02 23:21:42.813500: Current learning rate: 0.00825
2023-08-02 23:22:45.256549: train_loss -0.9126
2023-08-02 23:22:45.256700: val_loss -0.8947
2023-08-02 23:22:45.256740: Pseudo dice [0.9126]
2023-08-02 23:22:45.256784: Epoch time: 62.44 s
2023-08-02 23:22:46.035198:
2023-08-02 23:22:46.035305: Epoch 78
2023-08-02 23:22:46.035383: Current learning rate: 0.00823
2023-08-02 23:23:48.474099: train_loss -0.9182
2023-08-02 23:23:48.474237: val_loss -0.8941
2023-08-02 23:23:48.474283: Pseudo dice [0.9128]
2023-08-02 23:23:48.474330: Epoch time: 62.44 s
2023-08-02 23:23:49.248940:
2023-08-02 23:23:49.249049: Epoch 79
2023-08-02 23:23:49.249126: Current learning rate: 0.0082
2023-08-02 23:24:51.717544: train_loss -0.9188
2023-08-02 23:24:51.717690: val_loss -0.899
2023-08-02 23:24:51.717731: Pseudo dice [0.9173]
2023-08-02 23:24:51.717778: Epoch time: 62.47 s
2023-08-02 23:24:52.491723:
2023-08-02 23:24:52.491830: Epoch 80
2023-08-02 23:24:52.491912: Current learning rate: 0.00818
2023-08-02 23:25:54.961648: train_loss -0.9167
2023-08-02 23:25:54.961792: val_loss -0.9012
2023-08-02 23:25:54.961831: Pseudo dice [0.9187]
2023-08-02 23:25:54.961875: Epoch time: 62.47 s
2023-08-02 23:25:54.961911: Yayy! New best EMA pseudo Dice: 0.9149
2023-08-02 23:25:57.072134:
2023-08-02 23:25:57.072242: Epoch 81
2023-08-02 23:25:57.072324: Current learning rate: 0.00816
2023-08-02 23:26:59.550802: train_loss -0.9143
2023-08-02 23:26:59.550940: val_loss -0.8978
2023-08-02 23:26:59.550980: Pseudo dice [0.9161]
2023-08-02 23:26:59.551026: Epoch time: 62.48 s
2023-08-02 23:26:59.551062: Yayy! New best EMA pseudo Dice: 0.915
2023-08-02 23:27:01.606644:
2023-08-02 23:27:01.606753: Epoch 82
2023-08-02 23:27:01.606832: Current learning rate: 0.00813
2023-08-02 23:28:04.055122: train_loss -0.918
2023-08-02 23:28:04.055257: val_loss -0.9009
2023-08-02 23:28:04.055298: Pseudo dice [0.9184]
2023-08-02 23:28:04.055345: Epoch time: 62.45 s
2023-08-02 23:28:04.055383: Yayy! New best EMA pseudo Dice: 0.9154
2023-08-02 23:28:05.990829:
2023-08-02 23:28:05.990924: Epoch 83
2023-08-02 23:28:05.991010: Current learning rate: 0.00811
2023-08-02 23:29:08.457321: train_loss -0.9204
2023-08-02 23:29:08.457458: val_loss -0.897
2023-08-02 23:29:08.457498: Pseudo dice [0.9157]
2023-08-02 23:29:08.457543: Epoch time: 62.47 s
2023-08-02 23:29:08.457581: Yayy! New best EMA pseudo Dice: 0.9154
2023-08-02 23:29:10.539199:
2023-08-02 23:29:10.539306: Epoch 84
2023-08-02 23:29:10.539390: Current learning rate: 0.00809
2023-08-02 23:30:12.986089: train_loss -0.917
2023-08-02 23:30:12.986229: val_loss -0.8947
2023-08-02 23:30:12.986275: Pseudo dice [0.9133]
2023-08-02 23:30:12.986322: Epoch time: 62.45 s
2023-08-02 23:30:13.728018:
2023-08-02 23:30:13.728118: Epoch 85
2023-08-02 23:30:13.728198: Current learning rate: 0.00807
2023-08-02 23:31:16.182288: train_loss -0.9195
2023-08-02 23:31:16.182427: val_loss -0.8974