Datasets:
pyushkevich
/
crashs_template_package

Dataset card Data Studio Files
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1.22k
2023-08-04 06:18:55.882849: Epoch 312
2023-08-04 06:18:55.882927: Current learning rate: 0.00256
2023-08-04 06:19:54.629256: train_loss -0.9444
2023-08-04 06:19:54.629401: val_loss -0.8883
2023-08-04 06:19:54.629441: Pseudo dice [0.9087]
2023-08-04 06:19:54.629483: Epoch time: 58.75 s
2023-08-04 06:19:54.629518: Yayy! New best EMA pseudo Dice: 0.9056
2023-08-04 06:19:56.780134:
2023-08-04 06:19:56.780248: Epoch 313
2023-08-04 06:19:56.780330: Current learning rate: 0.00253
2023-08-04 06:20:55.521235: train_loss -0.9435
2023-08-04 06:20:55.521383: val_loss -0.8799
2023-08-04 06:20:55.521423: Pseudo dice [0.903]
2023-08-04 06:20:55.521468: Epoch time: 58.74 s
2023-08-04 06:20:56.279950:
2023-08-04 06:20:56.280070: Epoch 314
2023-08-04 06:20:56.280150: Current learning rate: 0.00251
2023-08-04 06:21:55.002112: train_loss -0.9458
2023-08-04 06:21:55.002252: val_loss -0.8834
2023-08-04 06:21:55.002308: Pseudo dice [0.9061]
2023-08-04 06:21:55.002356: Epoch time: 58.72 s
2023-08-04 06:21:55.765808:
2023-08-04 06:21:55.765920: Epoch 315
2023-08-04 06:21:55.766001: Current learning rate: 0.00248
2023-08-04 06:22:54.506878: train_loss -0.943
2023-08-04 06:22:54.507027: val_loss -0.8837
2023-08-04 06:22:54.507068: Pseudo dice [0.9052]
2023-08-04 06:22:54.507112: Epoch time: 58.74 s
2023-08-04 06:22:55.265351:
2023-08-04 06:22:55.265457: Epoch 316
2023-08-04 06:22:55.265537: Current learning rate: 0.00245
2023-08-04 06:23:53.989884: train_loss -0.9424
2023-08-04 06:23:53.990027: val_loss -0.885
2023-08-04 06:23:53.990068: Pseudo dice [0.9067]
2023-08-04 06:23:53.990114: Epoch time: 58.73 s
2023-08-04 06:23:54.748365:
2023-08-04 06:23:54.748472: Epoch 317
2023-08-04 06:23:54.748553: Current learning rate: 0.00243
2023-08-04 06:24:53.484078: train_loss -0.9439
2023-08-04 06:24:53.484217: val_loss -0.8837
2023-08-04 06:24:53.484257: Pseudo dice [0.9055]
2023-08-04 06:24:53.484302: Epoch time: 58.74 s
2023-08-04 06:24:54.243253:
2023-08-04 06:24:54.243353: Epoch 318
2023-08-04 06:24:54.243436: Current learning rate: 0.0024
2023-08-04 06:25:52.976889: train_loss -0.945
2023-08-04 06:25:52.977328: val_loss -0.8867
2023-08-04 06:25:52.977369: Pseudo dice [0.9071]
2023-08-04 06:25:52.977413: Epoch time: 58.73 s
2023-08-04 06:25:52.977448: Yayy! New best EMA pseudo Dice: 0.9057
2023-08-04 06:25:55.055176:
2023-08-04 06:25:55.055285: Epoch 319
2023-08-04 06:25:55.055369: Current learning rate: 0.00238
2023-08-04 06:26:53.785175: train_loss -0.9442
2023-08-04 06:26:53.785309: val_loss -0.8858
2023-08-04 06:26:53.785347: Pseudo dice [0.9063]
2023-08-04 06:26:53.785392: Epoch time: 58.73 s
2023-08-04 06:26:53.785429: Yayy! New best EMA pseudo Dice: 0.9058
2023-08-04 06:26:55.768341:
2023-08-04 06:26:55.768457: Epoch 320
2023-08-04 06:26:55.768541: Current learning rate: 0.00235
2023-08-04 06:27:54.477237: train_loss -0.9479
2023-08-04 06:27:54.477377: val_loss -0.8859
2023-08-04 06:27:54.477415: Pseudo dice [0.9075]
2023-08-04 06:27:54.477458: Epoch time: 58.71 s
2023-08-04 06:27:54.477497: Yayy! New best EMA pseudo Dice: 0.9059
2023-08-04 06:27:56.448879:
2023-08-04 06:27:56.448993: Epoch 321
2023-08-04 06:27:56.449076: Current learning rate: 0.00232
2023-08-04 06:28:55.158701: train_loss -0.9456
2023-08-04 06:28:55.158841: val_loss -0.8923
2023-08-04 06:28:55.158881: Pseudo dice [0.9117]
2023-08-04 06:28:55.158929: Epoch time: 58.71 s
2023-08-04 06:28:55.158971: Yayy! New best EMA pseudo Dice: 0.9065
2023-08-04 06:28:57.102876:
2023-08-04 06:28:57.102980: Epoch 322
2023-08-04 06:28:57.103057: Current learning rate: 0.0023
2023-08-04 06:29:55.839915: train_loss -0.9451
2023-08-04 06:29:55.840064: val_loss -0.8861
2023-08-04 06:29:55.840104: Pseudo dice [0.9077]
2023-08-04 06:29:55.840148: Epoch time: 58.74 s
2023-08-04 06:29:55.840185: Yayy! New best EMA pseudo Dice: 0.9066
2023-08-04 06:29:57.949691:
2023-08-04 06:29:57.949793: Epoch 323
2023-08-04 06:29:57.949873: Current learning rate: 0.00227
2023-08-04 06:30:56.660692: train_loss -0.9426
2023-08-04 06:30:56.660832: val_loss -0.8855
2023-08-04 06:30:56.660871: Pseudo dice [0.9066]
2023-08-04 06:30:56.660915: Epoch time: 58.71 s
2023-08-04 06:30:57.547389:
2023-08-04 06:30:57.547516: Epoch 324
2023-08-04 06:30:57.547599: Current learning rate: 0.00224
2023-08-04 06:31:56.286999: train_loss -0.9464
2023-08-04 06:31:56.287153: val_loss -0.8846
2023-08-04 06:31:56.287194: Pseudo dice [0.9053]
2023-08-04 06:31:56.287241: Epoch time: 58.74 s
2023-08-04 06:31:57.049237:
2023-08-04 06:31:57.049344: Epoch 325
2023-08-04 06:31:57.049422: Current learning rate: 0.00222
2023-08-04 06:32:55.774066: train_loss -0.9466