Datasets:
pyushkevich
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crashs_template_package

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2023-08-02 22:36:35.209351: Pseudo dice [0.9071]
2023-08-02 22:36:35.209396: Epoch time: 62.46 s
2023-08-02 22:36:35.209433: Yayy! New best EMA pseudo Dice: 0.8981
2023-08-02 22:36:37.244393:
2023-08-02 22:36:37.244489: Epoch 35
2023-08-02 22:36:37.244572: Current learning rate: 0.00921
2023-08-02 22:37:39.683263: train_loss -0.8972
2023-08-02 22:37:39.683406: val_loss -0.8882
2023-08-02 22:37:39.683446: Pseudo dice [0.9089]
2023-08-02 22:37:39.683492: Epoch time: 62.44 s
2023-08-02 22:37:39.683530: Yayy! New best EMA pseudo Dice: 0.8992
2023-08-02 22:37:41.863335:
2023-08-02 22:37:41.863440: Epoch 36
2023-08-02 22:37:41.863527: Current learning rate: 0.00919
2023-08-02 22:38:44.319236: train_loss -0.9004
2023-08-02 22:38:44.319370: val_loss -0.8866
2023-08-02 22:38:44.319409: Pseudo dice [0.9061]
2023-08-02 22:38:44.319453: Epoch time: 62.46 s
2023-08-02 22:38:44.319489: Yayy! New best EMA pseudo Dice: 0.8999
2023-08-02 22:38:46.330366:
2023-08-02 22:38:46.330463: Epoch 37
2023-08-02 22:38:46.330548: Current learning rate: 0.00916
2023-08-02 22:39:48.799313: train_loss -0.9001
2023-08-02 22:39:48.799455: val_loss -0.8903
2023-08-02 22:39:48.799495: Pseudo dice [0.9093]
2023-08-02 22:39:48.799540: Epoch time: 62.47 s
2023-08-02 22:39:48.799577: Yayy! New best EMA pseudo Dice: 0.9008
2023-08-02 22:39:50.779274:
2023-08-02 22:39:50.779381: Epoch 38
2023-08-02 22:39:50.779461: Current learning rate: 0.00914
2023-08-02 22:40:53.256365: train_loss -0.8988
2023-08-02 22:40:53.256504: val_loss -0.8872
2023-08-02 22:40:53.256544: Pseudo dice [0.9092]
2023-08-02 22:40:53.256589: Epoch time: 62.48 s
2023-08-02 22:40:53.256626: Yayy! New best EMA pseudo Dice: 0.9017
2023-08-02 22:40:55.313890:
2023-08-02 22:40:55.313994: Epoch 39
2023-08-02 22:40:55.314071: Current learning rate: 0.00912
2023-08-02 22:41:57.785775: train_loss -0.8994
2023-08-02 22:41:57.785913: val_loss -0.8871
2023-08-02 22:41:57.785953: Pseudo dice [0.9066]
2023-08-02 22:41:57.786000: Epoch time: 62.47 s
2023-08-02 22:41:57.786036: Yayy! New best EMA pseudo Dice: 0.9021
2023-08-02 22:42:00.007021:
2023-08-02 22:42:00.007118: Epoch 40
2023-08-02 22:42:00.007200: Current learning rate: 0.0091
2023-08-02 22:43:02.469443: train_loss -0.8981
2023-08-02 22:43:02.469587: val_loss -0.8882
2023-08-02 22:43:02.469628: Pseudo dice [0.9079]
2023-08-02 22:43:02.469672: Epoch time: 62.46 s
2023-08-02 22:43:02.469710: Yayy! New best EMA pseudo Dice: 0.9027
2023-08-02 22:43:04.647400:
2023-08-02 22:43:04.647505: Epoch 41
2023-08-02 22:43:04.647584: Current learning rate: 0.00907
2023-08-02 22:44:07.098984: train_loss -0.9009
2023-08-02 22:44:07.099130: val_loss -0.8905
2023-08-02 22:44:07.099169: Pseudo dice [0.9094]
2023-08-02 22:44:07.099214: Epoch time: 62.45 s
2023-08-02 22:44:07.099251: Yayy! New best EMA pseudo Dice: 0.9034
2023-08-02 22:44:09.444125:
2023-08-02 22:44:09.444231: Epoch 42
2023-08-02 22:44:09.444309: Current learning rate: 0.00905
2023-08-02 22:45:11.873226: train_loss -0.9047
2023-08-02 22:45:11.873369: val_loss -0.8921
2023-08-02 22:45:11.873408: Pseudo dice [0.9115]
2023-08-02 22:45:11.873454: Epoch time: 62.43 s
2023-08-02 22:45:11.873490: Yayy! New best EMA pseudo Dice: 0.9042
2023-08-02 22:45:13.893300:
2023-08-02 22:45:13.893402: Epoch 43
2023-08-02 22:45:13.893481: Current learning rate: 0.00903
2023-08-02 22:46:16.322837: train_loss -0.902
2023-08-02 22:46:16.322988: val_loss -0.8891
2023-08-02 22:46:16.323030: Pseudo dice [0.908]
2023-08-02 22:46:16.323083: Epoch time: 62.43 s
2023-08-02 22:46:16.323176: Yayy! New best EMA pseudo Dice: 0.9046
2023-08-02 22:46:18.344423:
2023-08-02 22:46:18.344567: Epoch 44
2023-08-02 22:46:18.344647: Current learning rate: 0.009
2023-08-02 22:47:20.811738: train_loss -0.9021
2023-08-02 22:47:20.811877: val_loss -0.8893
2023-08-02 22:47:20.811917: Pseudo dice [0.9096]
2023-08-02 22:47:20.811963: Epoch time: 62.47 s
2023-08-02 22:47:20.812001: Yayy! New best EMA pseudo Dice: 0.9051
2023-08-02 22:47:22.843484:
2023-08-02 22:47:22.843590: Epoch 45
2023-08-02 22:47:22.843669: Current learning rate: 0.00898
2023-08-02 22:48:25.299174: train_loss -0.904
2023-08-02 22:48:25.299313: val_loss -0.8896
2023-08-02 22:48:25.299353: Pseudo dice [0.9099]
2023-08-02 22:48:25.299398: Epoch time: 62.46 s
2023-08-02 22:48:25.299435: Yayy! New best EMA pseudo Dice: 0.9056
2023-08-02 22:48:27.363466:
2023-08-02 22:48:27.363575: Epoch 46
2023-08-02 22:48:27.363654: Current learning rate: 0.00896
2023-08-02 22:49:29.803685: train_loss -0.9066
2023-08-02 22:49:29.803828: val_loss -0.8935
2023-08-02 22:49:29.803871: Pseudo dice [0.9125]
2023-08-02 22:49:29.803915: Epoch time: 62.44 s
2023-08-02 22:49:29.803953: Yayy! New best EMA pseudo Dice: 0.9063
2023-08-02 22:49:31.770035: