Datasets:
ngaggion
/
ChronoRoot_nnUNet

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2025-01-20 16:01:57.351502: Pseudo dice [np.float32(0.6977), np.float32(0.6961), np.float32(0.8466), np.float32(0.6303), np.float32(0.8571), np.float32(0.7252)]
2025-01-20 16:01:57.351536: Epoch time: 47.73 s
2025-01-20 16:01:57.351556: Yayy! New best EMA pseudo Dice: 0.7214000225067139
2025-01-20 16:01:58.201844:
2025-01-20 16:01:58.201900: Epoch 35
2025-01-20 16:01:58.201970: Current learning rate: 0.00968
2025-01-20 16:02:45.923149: train_loss -0.6514
2025-01-20 16:02:45.958350: val_loss -0.6545
2025-01-20 16:02:45.958426: Pseudo dice [np.float32(0.701), np.float32(0.7355), np.float32(0.8405), np.float32(0.7013), np.float32(0.8467), np.float32(0.7281)]
2025-01-20 16:02:45.958484: Epoch time: 47.72 s
2025-01-20 16:02:45.958518: Yayy! New best EMA pseudo Dice: 0.7250999808311462
2025-01-20 16:02:46.801467:
2025-01-20 16:02:46.836858: Epoch 36
2025-01-20 16:02:46.836950: Current learning rate: 0.00968
2025-01-20 16:03:34.540359: train_loss -0.646
2025-01-20 16:03:34.575465: val_loss -0.6594
2025-01-20 16:03:34.575524: Pseudo dice [np.float32(0.7224), np.float32(0.7359), np.float32(0.8364), np.float32(0.6825), np.float32(0.8481), np.float32(0.7275)]
2025-01-20 16:03:34.575567: Epoch time: 47.74 s
2025-01-20 16:03:34.575594: Yayy! New best EMA pseudo Dice: 0.7285000085830688
2025-01-20 16:03:35.421541:
2025-01-20 16:03:35.424612: Epoch 37
2025-01-20 16:03:35.424695: Current learning rate: 0.00967
2025-01-20 16:04:23.151501: train_loss -0.6575
2025-01-20 16:04:23.151774: val_loss -0.6467
2025-01-20 16:04:23.151829: Pseudo dice [np.float32(0.7156), np.float32(0.739), np.float32(0.8333), np.float32(0.7073), np.float32(0.8708), np.float32(0.7406)]
2025-01-20 16:04:23.151888: Epoch time: 47.73 s
2025-01-20 16:04:23.151922: Yayy! New best EMA pseudo Dice: 0.7324000000953674
2025-01-20 16:04:24.011777:
2025-01-20 16:04:24.046946: Epoch 38
2025-01-20 16:04:24.047036: Current learning rate: 0.00966
2025-01-20 16:05:11.765677: train_loss -0.6571
2025-01-20 16:05:11.800823: val_loss -0.6643
2025-01-20 16:05:11.800904: Pseudo dice [np.float32(0.7212), np.float32(0.7249), np.float32(0.8375), np.float32(0.7208), np.float32(0.8738), np.float32(0.7341)]
2025-01-20 16:05:11.800941: Epoch time: 47.75 s
2025-01-20 16:05:11.800961: Yayy! New best EMA pseudo Dice: 0.7361000180244446
2025-01-20 16:05:12.650535:
2025-01-20 16:05:12.650725: Epoch 39
2025-01-20 16:05:12.650786: Current learning rate: 0.00965
2025-01-20 16:06:00.381109: train_loss -0.6512
2025-01-20 16:06:00.381346: val_loss -0.6657
2025-01-20 16:06:00.381388: Pseudo dice [np.float32(0.7263), np.float32(0.7316), np.float32(0.8317), np.float32(0.6926), np.float32(0.8668), np.float32(0.7438)]
2025-01-20 16:06:00.381443: Epoch time: 47.73 s
2025-01-20 16:06:00.381474: Yayy! New best EMA pseudo Dice: 0.7390000224113464
2025-01-20 16:06:01.236791:
2025-01-20 16:06:01.272063: Epoch 40
2025-01-20 16:06:01.272124: Current learning rate: 0.00964
2025-01-20 16:06:48.988377: train_loss -0.663
2025-01-20 16:06:48.988547: val_loss -0.6406
2025-01-20 16:06:48.988598: Pseudo dice [np.float32(0.7179), np.float32(0.7224), np.float32(0.8444), np.float32(0.7241), np.float32(0.8564), np.float32(0.7457)]
2025-01-20 16:06:48.988634: Epoch time: 47.75 s
2025-01-20 16:06:48.988659: Yayy! New best EMA pseudo Dice: 0.7419000267982483
2025-01-20 16:06:49.846577:
2025-01-20 16:06:49.881884: Epoch 41
2025-01-20 16:06:49.881964: Current learning rate: 0.00963
2025-01-20 16:07:37.546313: train_loss -0.6536
2025-01-20 16:07:37.581426: val_loss -0.64
2025-01-20 16:07:37.581512: Pseudo dice [np.float32(0.7273), np.float32(0.7306), np.float32(0.84), np.float32(0.6601), np.float32(0.8742), np.float32(0.759)]
2025-01-20 16:07:37.581582: Epoch time: 47.7 s
2025-01-20 16:07:37.581655: Yayy! New best EMA pseudo Dice: 0.7443000078201294
2025-01-20 16:07:38.522135:
2025-01-20 16:07:38.524122: Epoch 42
2025-01-20 16:07:38.524213: Current learning rate: 0.00962
2025-01-20 16:08:26.239573: train_loss -0.6753
2025-01-20 16:08:26.274759: val_loss -0.6618
2025-01-20 16:08:26.274822: Pseudo dice [np.float32(0.7248), np.float32(0.7225), np.float32(0.8424), np.float32(0.7133), np.float32(0.8529), np.float32(0.7441)]
2025-01-20 16:08:26.274862: Epoch time: 47.72 s
2025-01-20 16:08:26.274882: Yayy! New best EMA pseudo Dice: 0.7465000152587891
2025-01-20 16:08:27.109404:
2025-01-20 16:08:27.113837: Epoch 43
2025-01-20 16:08:27.113927: Current learning rate: 0.00961
2025-01-20 16:09:14.880189: train_loss -0.6537
2025-01-20 16:09:14.915407: val_loss -0.6509
2025-01-20 16:09:14.915475: Pseudo dice [np.float32(0.7298), np.float32(0.7314), np.float32(0.845), np.float32(0.7297), np.float32(0.8691), np.float32(0.7497)]
2025-01-20 16:09:14.915519: Epoch time: 47.77 s
2025-01-20 16:09:14.915552: Yayy! New best EMA pseudo Dice: 0.7494000196456909
2025-01-20 16:09:15.764732:
2025-01-20 16:09:15.800120: Epoch 44
2025-01-20 16:09:15.800219: Current learning rate: 0.0096
2025-01-20 16:10:03.578339: train_loss -0.6613
2025-01-20 16:10:03.578424: val_loss -0.6454
2025-01-20 16:10:03.578488: Pseudo dice [np.float32(0.7417), np.float32(0.7671), np.float32(0.8439), np.float32(0.7153), np.float32(0.8666), np.float32(0.7379)]
2025-01-20 16:10:03.578524: Epoch time: 47.81 s
2025-01-20 16:10:03.578544: Yayy! New best EMA pseudo Dice: 0.7523999810218811
2025-01-20 16:10:04.360697:
2025-01-20 16:10:04.362422: Epoch 45
2025-01-20 16:10:04.362483: Current learning rate: 0.00959
2025-01-20 16:10:52.105711: train_loss -0.666
2025-01-20 16:10:52.107986: val_loss -0.6394
2025-01-20 16:10:52.108044: Pseudo dice [np.float32(0.7206), np.float32(0.7197), np.float32(0.8386), np.float32(0.7273), np.float32(0.8661), np.float32(0.7264)]
2025-01-20 16:10:52.108093: Epoch time: 47.75 s
2025-01-20 16:10:52.108115: Yayy! New best EMA pseudo Dice: 0.7537999749183655
2025-01-20 16:10:52.943268:
2025-01-20 16:10:52.978643: Epoch 46
2025-01-20 16:10:52.978724: Current learning rate: 0.00959
2025-01-20 16:11:40.749856: train_loss -0.6556
2025-01-20 16:11:40.784957: val_loss -0.6564
2025-01-20 16:11:40.785040: Pseudo dice [np.float32(0.7284), np.float32(0.734), np.float32(0.8369), np.float32(0.7127), np.float32(0.8698), np.float32(0.7462)]
2025-01-20 16:11:40.785076: Epoch time: 47.81 s
2025-01-20 16:11:40.785097: Yayy! New best EMA pseudo Dice: 0.7555000185966492
2025-01-20 16:11:41.613911: