Datasets:
pyushkevich
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crashs_template_package

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1.22k
2023-08-02 23:46:05.924445: train_loss -0.9226
2023-08-02 23:46:05.924592: val_loss -0.9013
2023-08-02 23:46:05.924633: Pseudo dice [0.9188]
2023-08-02 23:46:05.924679: Epoch time: 62.49 s
2023-08-02 23:46:07.952632:
2023-08-02 23:46:07.952740: Epoch 100
2023-08-02 23:46:07.952819: Current learning rate: 0.00772
2023-08-02 23:47:10.380423: train_loss -0.9244
2023-08-02 23:47:10.380568: val_loss -0.8989
2023-08-02 23:47:10.380608: Pseudo dice [0.9163]
2023-08-02 23:47:10.380653: Epoch time: 62.43 s
2023-08-02 23:47:11.120858:
2023-08-02 23:47:11.121011: Epoch 101
2023-08-02 23:47:11.121091: Current learning rate: 0.0077
2023-08-02 23:48:13.581160: train_loss -0.9208
2023-08-02 23:48:13.581303: val_loss -0.9005
2023-08-02 23:48:13.581342: Pseudo dice [0.9185]
2023-08-02 23:48:13.581386: Epoch time: 62.46 s
2023-08-02 23:48:13.581424: Yayy! New best EMA pseudo Dice: 0.9164
2023-08-02 23:48:15.606297:
2023-08-02 23:48:15.606396: Epoch 102
2023-08-02 23:48:15.606479: Current learning rate: 0.00767
2023-08-02 23:49:18.087001: train_loss -0.9208
2023-08-02 23:49:18.087142: val_loss -0.9014
2023-08-02 23:49:18.087184: Pseudo dice [0.9182]
2023-08-02 23:49:18.087231: Epoch time: 62.48 s
2023-08-02 23:49:18.087269: Yayy! New best EMA pseudo Dice: 0.9166
2023-08-02 23:49:20.220948:
2023-08-02 23:49:20.221060: Epoch 103
2023-08-02 23:49:20.221140: Current learning rate: 0.00765
2023-08-02 23:50:22.661165: train_loss -0.9253
2023-08-02 23:50:22.661307: val_loss -0.8999
2023-08-02 23:50:22.661349: Pseudo dice [0.9176]
2023-08-02 23:50:22.661395: Epoch time: 62.44 s
2023-08-02 23:50:22.661443: Yayy! New best EMA pseudo Dice: 0.9167
2023-08-02 23:50:24.650347:
2023-08-02 23:50:24.650462: Epoch 104
2023-08-02 23:50:24.650548: Current learning rate: 0.00763
2023-08-02 23:51:27.089310: train_loss -0.9243
2023-08-02 23:51:27.089456: val_loss -0.901
2023-08-02 23:51:27.089498: Pseudo dice [0.9178]
2023-08-02 23:51:27.089543: Epoch time: 62.44 s
2023-08-02 23:51:27.089581: Yayy! New best EMA pseudo Dice: 0.9168
2023-08-02 23:51:28.947766:
2023-08-02 23:51:28.947871: Epoch 105
2023-08-02 23:51:28.947954: Current learning rate: 0.0076
2023-08-02 23:52:31.411271: train_loss -0.9231
2023-08-02 23:52:31.411403: val_loss -0.9005
2023-08-02 23:52:31.411445: Pseudo dice [0.9179]
2023-08-02 23:52:31.411490: Epoch time: 62.46 s
2023-08-02 23:52:31.411527: Yayy! New best EMA pseudo Dice: 0.9169
2023-08-02 23:52:33.478767:
2023-08-02 23:52:33.478874: Epoch 106
2023-08-02 23:52:33.478959: Current learning rate: 0.00758
2023-08-02 23:53:35.936480: train_loss -0.9242
2023-08-02 23:53:35.936623: val_loss -0.8982
2023-08-02 23:53:35.936664: Pseudo dice [0.9157]
2023-08-02 23:53:35.936716: Epoch time: 62.46 s
2023-08-02 23:53:36.677264:
2023-08-02 23:53:36.677412: Epoch 107
2023-08-02 23:53:36.677495: Current learning rate: 0.00756
2023-08-02 23:54:39.123304: train_loss -0.9235
2023-08-02 23:54:39.123442: val_loss -0.9012
2023-08-02 23:54:39.123483: Pseudo dice [0.9187]
2023-08-02 23:54:39.123529: Epoch time: 62.45 s
2023-08-02 23:54:39.123566: Yayy! New best EMA pseudo Dice: 0.917
2023-08-02 23:54:41.309773:
2023-08-02 23:54:41.309883: Epoch 108
2023-08-02 23:54:41.309962: Current learning rate: 0.00753
2023-08-02 23:55:43.754424: train_loss -0.924
2023-08-02 23:55:43.754564: val_loss -0.9013
2023-08-02 23:55:43.754608: Pseudo dice [0.9186]
2023-08-02 23:55:43.754654: Epoch time: 62.45 s
2023-08-02 23:55:43.754691: Yayy! New best EMA pseudo Dice: 0.9171
2023-08-02 23:55:45.725410:
2023-08-02 23:55:45.725524: Epoch 109
2023-08-02 23:55:45.725604: Current learning rate: 0.00751
2023-08-02 23:56:48.157630: train_loss -0.9261
2023-08-02 23:56:48.157773: val_loss -0.9026
2023-08-02 23:56:48.157815: Pseudo dice [0.9197]
2023-08-02 23:56:48.157865: Epoch time: 62.43 s
2023-08-02 23:56:48.157902: Yayy! New best EMA pseudo Dice: 0.9174
2023-08-02 23:56:50.105176:
2023-08-02 23:56:50.105282: Epoch 110
2023-08-02 23:56:50.105362: Current learning rate: 0.00749
2023-08-02 23:57:52.535109: train_loss -0.9239
2023-08-02 23:57:52.535253: val_loss -0.9005
2023-08-02 23:57:52.535293: Pseudo dice [0.9189]
2023-08-02 23:57:52.535338: Epoch time: 62.43 s
2023-08-02 23:57:52.535376: Yayy! New best EMA pseudo Dice: 0.9175
2023-08-02 23:57:54.491411:
2023-08-02 23:57:54.491516: Epoch 111
2023-08-02 23:57:54.491603: Current learning rate: 0.00746
2023-08-02 23:58:56.930815: train_loss -0.9237
2023-08-02 23:58:56.930958: val_loss -0.9025
2023-08-02 23:58:56.930997: Pseudo dice [0.9203]
2023-08-02 23:58:56.931043: Epoch time: 62.44 s
2023-08-02 23:58:56.931080: Yayy! New best EMA pseudo Dice: 0.9178
2023-08-02 23:58:58.978863:
2023-08-02 23:58:58.978968: Epoch 112