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2023-06-01 00:16:48.300158: Epoch time: 122.15 s
2023-06-01 00:16:48.300240: Yayy! New best EMA pseudo Dice: 0.7224
2023-06-01 00:16:53.432071:
2023-06-01 00:16:53.432166: Epoch 2
2023-06-01 00:16:53.432293: Current learning rate: 0.00998
2023-06-01 00:18:01.002615: train_loss -0.7223
2023-06-01 00:18:01.002771: val_loss -0.7715
2023-06-01 00:18:01.002850: Pseudo dice [0.8166]
2023-06-01 00:18:01.002933: Epoch time: 67.57 s
2023-06-01 00:18:01.003004: Yayy! New best EMA pseudo Dice: 0.7318
2023-06-01 00:18:03.918740:
2023-06-01 00:18:03.918978: Epoch 3
2023-06-01 00:18:03.919063: Current learning rate: 0.00997
2023-06-01 00:19:08.981227: train_loss -0.7405
2023-06-01 00:19:08.981419: val_loss -0.7943
2023-06-01 00:19:08.981580: Pseudo dice [0.8324]
2023-06-01 00:19:08.981728: Epoch time: 65.06 s
2023-06-01 00:19:08.981848: Yayy! New best EMA pseudo Dice: 0.7419
2023-06-01 00:19:12.474719:
2023-06-01 00:19:12.474805: Epoch 4
2023-06-01 00:19:12.474901: Current learning rate: 0.00996
2023-06-01 00:20:11.846967: train_loss -0.755
2023-06-01 00:20:11.847118: val_loss -0.7983
2023-06-01 00:20:11.847186: Pseudo dice [0.8406]
2023-06-01 00:20:11.847258: Epoch time: 59.37 s
2023-06-01 00:20:11.847336: Yayy! New best EMA pseudo Dice: 0.7517
2023-06-01 00:20:15.105673:
2023-06-01 00:20:15.105837: Epoch 5
2023-06-01 00:20:15.105945: Current learning rate: 0.00995
2023-06-01 00:21:14.237679: train_loss -0.7544
2023-06-01 00:21:14.237858: val_loss -0.7986
2023-06-01 00:21:14.237947: Pseudo dice [0.8288]
2023-06-01 00:21:14.238047: Epoch time: 59.13 s
2023-06-01 00:21:14.238137: Yayy! New best EMA pseudo Dice: 0.7594
2023-06-01 00:21:17.822515:
2023-06-01 00:21:17.822610: Epoch 6
2023-06-01 00:21:17.822752: Current learning rate: 0.00995
2023-06-01 00:22:16.704394: train_loss -0.7632
2023-06-01 00:22:16.704796: val_loss -0.7852
2023-06-01 00:22:16.704906: Pseudo dice [0.8179]
2023-06-01 00:22:16.705022: Epoch time: 58.88 s
2023-06-01 00:22:16.705112: Yayy! New best EMA pseudo Dice: 0.7653
2023-06-01 00:22:19.772448:
2023-06-01 00:22:19.772662: Epoch 7
2023-06-01 00:22:19.772781: Current learning rate: 0.00994
2023-06-01 00:23:18.597923: train_loss -0.7588
2023-06-01 00:23:18.598066: val_loss -0.7939
2023-06-01 00:23:18.598131: Pseudo dice [0.8278]
2023-06-01 00:23:18.598207: Epoch time: 58.83 s
2023-06-01 00:23:18.598299: Yayy! New best EMA pseudo Dice: 0.7715
2023-06-01 00:23:22.046041:
2023-06-01 00:23:22.046144: Epoch 8
2023-06-01 00:23:22.046224: Current learning rate: 0.00993
2023-06-01 00:24:20.932702: train_loss -0.761
2023-06-01 00:24:20.932867: val_loss -0.8023
2023-06-01 00:24:20.932952: Pseudo dice [0.8344]
2023-06-01 00:24:20.933038: Epoch time: 58.89 s
2023-06-01 00:24:20.933111: Yayy! New best EMA pseudo Dice: 0.7778
2023-06-01 00:24:24.113839:
2023-06-01 00:24:24.113923: Epoch 9
2023-06-01 00:24:24.114077: Current learning rate: 0.00992
2023-06-01 00:25:23.000069: train_loss -0.7727
2023-06-01 00:25:23.000265: val_loss -0.8062
2023-06-01 00:25:23.000376: Pseudo dice [0.8349]
2023-06-01 00:25:23.000473: Epoch time: 58.89 s
2023-06-01 00:25:23.000566: Yayy! New best EMA pseudo Dice: 0.7835
2023-06-01 00:25:26.150246:
2023-06-01 00:25:26.150472: Epoch 10
2023-06-01 00:25:26.150582: Current learning rate: 0.00991
2023-06-01 00:26:25.022713: train_loss -0.768
2023-06-01 00:26:25.022851: val_loss -0.8032
2023-06-01 00:26:25.022916: Pseudo dice [0.8346]
2023-06-01 00:26:25.022983: Epoch time: 58.87 s
2023-06-01 00:26:25.023059: Yayy! New best EMA pseudo Dice: 0.7886
2023-06-01 00:26:28.426271:
2023-06-01 00:26:28.426468: Epoch 11
2023-06-01 00:26:28.426583: Current learning rate: 0.0099
2023-06-01 00:27:27.272716: train_loss -0.7811
2023-06-01 00:27:27.272913: val_loss -0.8067
2023-06-01 00:27:27.273016: Pseudo dice [0.8307]
2023-06-01 00:27:27.273121: Epoch time: 58.85 s
2023-06-01 00:27:27.273211: Yayy! New best EMA pseudo Dice: 0.7928
2023-06-01 00:27:30.762165:
2023-06-01 00:27:30.762326: Epoch 12
2023-06-01 00:27:30.762425: Current learning rate: 0.00989
2023-06-01 00:28:29.668595: train_loss -0.7726
2023-06-01 00:28:29.668803: val_loss -0.8201
2023-06-01 00:28:29.668898: Pseudo dice [0.8472]
2023-06-01 00:28:29.669000: Epoch time: 58.91 s
2023-06-01 00:28:29.669118: Yayy! New best EMA pseudo Dice: 0.7983
2023-06-01 00:28:33.249922:
2023-06-01 00:28:33.250100: Epoch 13
2023-06-01 00:28:33.250186: Current learning rate: 0.00988
2023-06-01 00:29:32.106055: train_loss -0.7758
2023-06-01 00:29:32.106179: val_loss -0.814
2023-06-01 00:29:32.106291: Pseudo dice [0.8408]
2023-06-01 00:29:32.106382: Epoch time: 58.86 s
2023-06-01 00:29:32.106447: Yayy! New best EMA pseudo Dice: 0.8025
2023-06-01 00:29:35.411260:
2023-06-01 00:29:35.411359: Epoch 14