Datasets:
pyushkevich
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crashs_template_package

Dataset card Data Studio Files
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1.22k
2023-08-03 00:57:24.591722: val_loss -0.9019
2023-08-03 00:57:24.591761: Pseudo dice [0.9192]
2023-08-03 00:57:24.591806: Epoch time: 62.49 s
2023-08-03 00:57:25.347574:
2023-08-03 00:57:25.347682: Epoch 167
2023-08-03 00:57:25.347760: Current learning rate: 0.00615
2023-08-03 00:58:27.842592: train_loss -0.9307
2023-08-03 00:58:27.842731: val_loss -0.9029
2023-08-03 00:58:27.842772: Pseudo dice [0.9199]
2023-08-03 00:58:27.842818: Epoch time: 62.5 s
2023-08-03 00:58:28.608069:
2023-08-03 00:58:28.608174: Epoch 168
2023-08-03 00:58:28.608254: Current learning rate: 0.00612
2023-08-03 00:59:31.085200: train_loss -0.93
2023-08-03 00:59:31.085345: val_loss -0.9043
2023-08-03 00:59:31.085384: Pseudo dice [0.9207]
2023-08-03 00:59:31.085429: Epoch time: 62.48 s
2023-08-03 00:59:31.852527:
2023-08-03 00:59:31.852630: Epoch 169
2023-08-03 00:59:31.852710: Current learning rate: 0.0061
2023-08-03 01:00:34.312722: train_loss -0.9327
2023-08-03 01:00:34.312855: val_loss -0.9037
2023-08-03 01:00:34.312895: Pseudo dice [0.9207]
2023-08-03 01:00:34.312939: Epoch time: 62.46 s
2023-08-03 01:00:35.205135:
2023-08-03 01:00:35.205238: Epoch 170
2023-08-03 01:00:35.205319: Current learning rate: 0.00608
2023-08-03 01:01:37.690630: train_loss -0.9302
2023-08-03 01:01:37.690774: val_loss -0.8978
2023-08-03 01:01:37.690814: Pseudo dice [0.9162]
2023-08-03 01:01:37.690860: Epoch time: 62.49 s
2023-08-03 01:01:38.455673:
2023-08-03 01:01:38.455807: Epoch 171
2023-08-03 01:01:38.455887: Current learning rate: 0.00605
2023-08-03 01:02:40.935380: train_loss -0.9325
2023-08-03 01:02:40.935533: val_loss -0.8988
2023-08-03 01:02:40.935573: Pseudo dice [0.9175]
2023-08-03 01:02:40.935619: Epoch time: 62.48 s
2023-08-03 01:02:41.702796:
2023-08-03 01:02:41.702903: Epoch 172
2023-08-03 01:02:41.702982: Current learning rate: 0.00603
2023-08-03 01:03:44.182033: train_loss -0.9318
2023-08-03 01:03:44.182170: val_loss -0.9035
2023-08-03 01:03:44.182211: Pseudo dice [0.9204]
2023-08-03 01:03:44.182258: Epoch time: 62.48 s
2023-08-03 01:03:44.950992:
2023-08-03 01:03:44.951098: Epoch 173
2023-08-03 01:03:44.951178: Current learning rate: 0.00601
2023-08-03 01:04:47.410539: train_loss -0.9317
2023-08-03 01:04:47.410681: val_loss -0.9029
2023-08-03 01:04:47.410720: Pseudo dice [0.9199]
2023-08-03 01:04:47.410764: Epoch time: 62.46 s
2023-08-03 01:04:48.174837:
2023-08-03 01:04:48.174939: Epoch 174
2023-08-03 01:04:48.175020: Current learning rate: 0.00598
2023-08-03 01:05:50.627132: train_loss -0.9301
2023-08-03 01:05:50.627273: val_loss -0.9056
2023-08-03 01:05:50.627313: Pseudo dice [0.9222]
2023-08-03 01:05:50.627357: Epoch time: 62.45 s
2023-08-03 01:05:51.512726:
2023-08-03 01:05:51.512876: Epoch 175
2023-08-03 01:05:51.512959: Current learning rate: 0.00596
2023-08-03 01:06:53.978582: train_loss -0.9311
2023-08-03 01:06:53.978721: val_loss -0.9023
2023-08-03 01:06:53.978761: Pseudo dice [0.9192]
2023-08-03 01:06:53.978805: Epoch time: 62.47 s
2023-08-03 01:06:54.744431:
2023-08-03 01:06:54.744547: Epoch 176
2023-08-03 01:06:54.744627: Current learning rate: 0.00593
2023-08-03 01:07:57.202813: train_loss -0.9306
2023-08-03 01:07:57.202954: val_loss -0.905
2023-08-03 01:07:57.202994: Pseudo dice [0.9214]
2023-08-03 01:07:57.203039: Epoch time: 62.46 s
2023-08-03 01:07:57.963058:
2023-08-03 01:07:57.963162: Epoch 177
2023-08-03 01:07:57.963242: Current learning rate: 0.00591
2023-08-03 01:09:00.436949: train_loss -0.9329
2023-08-03 01:09:00.437093: val_loss -0.9032
2023-08-03 01:09:00.437132: Pseudo dice [0.9198]
2023-08-03 01:09:00.437178: Epoch time: 62.47 s
2023-08-03 01:09:01.204761:
2023-08-03 01:09:01.204863: Epoch 178
2023-08-03 01:09:01.204942: Current learning rate: 0.00589
2023-08-03 01:10:03.687350: train_loss -0.932
2023-08-03 01:10:03.687492: val_loss -0.9051
2023-08-03 01:10:03.687532: Pseudo dice [0.9225]
2023-08-03 01:10:03.687576: Epoch time: 62.48 s
2023-08-03 01:10:03.687611: Yayy! New best EMA pseudo Dice: 0.9201
2023-08-03 01:10:05.744414:
2023-08-03 01:10:05.744514: Epoch 179
2023-08-03 01:10:05.744596: Current learning rate: 0.00586
2023-08-03 01:11:08.242049: train_loss -0.9321
2023-08-03 01:11:08.242193: val_loss -0.902
2023-08-03 01:11:08.242234: Pseudo dice [0.9197]
2023-08-03 01:11:08.242288: Epoch time: 62.5 s
2023-08-03 01:11:09.133707:
2023-08-03 01:11:09.133846: Epoch 180
2023-08-03 01:11:09.133929: Current learning rate: 0.00584
2023-08-03 01:12:11.618582: train_loss -0.9333
2023-08-03 01:12:11.619150: val_loss -0.9044