Datasets:
ngaggion
/
ChronoRoot_nnUNet

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1.16k
2025-01-20 18:45:11.481063: Pseudo dice [np.float32(0.7407), np.float32(0.7319), np.float32(0.846), np.float32(0.748), np.float32(0.892), np.float32(0.783)]
2025-01-20 18:45:11.481118: Epoch time: 47.79 s
2025-01-20 18:45:11.938321:
2025-01-20 18:45:11.972780: Epoch 237
2025-01-20 18:45:11.972865: Current learning rate: 0.00784
2025-01-20 18:45:59.717324: train_loss -0.7069
2025-01-20 18:45:59.752434: val_loss -0.716
2025-01-20 18:45:59.752515: Pseudo dice [np.float32(0.7535), np.float32(0.7481), np.float32(0.8617), np.float32(0.7584), np.float32(0.8979), np.float32(0.792)]
2025-01-20 18:45:59.752551: Epoch time: 47.78 s
2025-01-20 18:46:00.207226:
2025-01-20 18:46:00.241637: Epoch 238
2025-01-20 18:46:00.241731: Current learning rate: 0.00783
2025-01-20 18:46:47.971132: train_loss -0.7084
2025-01-20 18:46:48.006379: val_loss -0.6991
2025-01-20 18:46:48.006433: Pseudo dice [np.float32(0.7661), np.float32(0.757), np.float32(0.8551), np.float32(0.7461), np.float32(0.8821), np.float32(0.7812)]
2025-01-20 18:46:48.006473: Epoch time: 47.76 s
2025-01-20 18:46:48.461430:
2025-01-20 18:46:48.495952: Epoch 239
2025-01-20 18:46:48.496021: Current learning rate: 0.00782
2025-01-20 18:47:36.287483: train_loss -0.7175
2025-01-20 18:47:36.322504: val_loss -0.6948
2025-01-20 18:47:36.322558: Pseudo dice [np.float32(0.7512), np.float32(0.7703), np.float32(0.8573), np.float32(0.7294), np.float32(0.8822), np.float32(0.7596)]
2025-01-20 18:47:36.322600: Epoch time: 47.83 s
2025-01-20 18:47:36.780792:
2025-01-20 18:47:36.815253: Epoch 240
2025-01-20 18:47:36.815316: Current learning rate: 0.00781
2025-01-20 18:48:24.553579: train_loss -0.7091
2025-01-20 18:48:24.588739: val_loss -0.6954
2025-01-20 18:48:24.588794: Pseudo dice [np.float32(0.7396), np.float32(0.7165), np.float32(0.8593), np.float32(0.7555), np.float32(0.9023), np.float32(0.767)]
2025-01-20 18:48:24.588831: Epoch time: 47.77 s
2025-01-20 18:48:25.163264:
2025-01-20 18:48:25.197680: Epoch 241
2025-01-20 18:48:25.197783: Current learning rate: 0.0078
2025-01-20 18:49:12.968664: train_loss -0.7091
2025-01-20 18:49:13.003674: val_loss -0.6974
2025-01-20 18:49:13.003750: Pseudo dice [np.float32(0.7564), np.float32(0.7582), np.float32(0.8544), np.float32(0.7315), np.float32(0.896), np.float32(0.7843)]
2025-01-20 18:49:13.003787: Epoch time: 47.81 s
2025-01-20 18:49:13.463163:
2025-01-20 18:49:13.497631: Epoch 242
2025-01-20 18:49:13.497723: Current learning rate: 0.00779
2025-01-20 18:50:01.254968: train_loss -0.7056
2025-01-20 18:50:01.290074: val_loss -0.6956
2025-01-20 18:50:01.290131: Pseudo dice [np.float32(0.7517), np.float32(0.7551), np.float32(0.8559), np.float32(0.7304), np.float32(0.88), np.float32(0.7709)]
2025-01-20 18:50:01.290170: Epoch time: 47.79 s
2025-01-20 18:50:01.747625:
2025-01-20 18:50:01.782093: Epoch 243
2025-01-20 18:50:01.782169: Current learning rate: 0.00778
2025-01-20 18:50:49.512005: train_loss -0.7147
2025-01-20 18:50:49.547108: val_loss -0.679
2025-01-20 18:50:49.547164: Pseudo dice [np.float32(0.7514), np.float32(0.7265), np.float32(0.8493), np.float32(0.7265), np.float32(0.8809), np.float32(0.7655)]
2025-01-20 18:50:49.547200: Epoch time: 47.76 s
2025-01-20 18:50:50.005463:
2025-01-20 18:50:50.039890: Epoch 244
2025-01-20 18:50:50.039990: Current learning rate: 0.00777
2025-01-20 18:51:37.761344: train_loss -0.7065
2025-01-20 18:51:37.796409: val_loss -0.6953
2025-01-20 18:51:37.796481: Pseudo dice [np.float32(0.7478), np.float32(0.7305), np.float32(0.8519), np.float32(0.7409), np.float32(0.8776), np.float32(0.7546)]
2025-01-20 18:51:37.796526: Epoch time: 47.76 s
2025-01-20 18:51:38.255614:
2025-01-20 18:51:38.290095: Epoch 245
2025-01-20 18:51:38.290169: Current learning rate: 0.00777
2025-01-20 18:52:26.052297: train_loss -0.7153
2025-01-20 18:52:26.087401: val_loss -0.7238
2025-01-20 18:52:26.087456: Pseudo dice [np.float32(0.7583), np.float32(0.7688), np.float32(0.8651), np.float32(0.7436), np.float32(0.8873), np.float32(0.7731)]
2025-01-20 18:52:26.087497: Epoch time: 47.8 s
2025-01-20 18:52:26.546360:
2025-01-20 18:52:26.580847: Epoch 246
2025-01-20 18:52:26.580920: Current learning rate: 0.00776
2025-01-20 18:53:14.329074: train_loss -0.719
2025-01-20 18:53:14.364172: val_loss -0.7135
2025-01-20 18:53:14.364243: Pseudo dice [np.float32(0.7529), np.float32(0.7713), np.float32(0.8614), np.float32(0.7448), np.float32(0.8926), np.float32(0.7815)]
2025-01-20 18:53:14.364282: Epoch time: 47.78 s
2025-01-20 18:53:14.822914:
2025-01-20 18:53:14.857409: Epoch 247
2025-01-20 18:53:14.857488: Current learning rate: 0.00775
2025-01-20 18:54:02.634991: train_loss -0.7127
2025-01-20 18:54:02.669992: val_loss -0.6909
2025-01-20 18:54:02.670084: Pseudo dice [np.float32(0.7645), np.float32(0.7758), np.float32(0.8533), np.float32(0.7505), np.float32(0.8907), np.float32(0.7662)]
2025-01-20 18:54:02.670131: Epoch time: 47.81 s
2025-01-20 18:54:03.135959:
2025-01-20 18:54:03.170496: Epoch 248
2025-01-20 18:54:03.170557: Current learning rate: 0.00774
2025-01-20 18:54:50.866172: train_loss -0.701
2025-01-20 18:54:50.901290: val_loss -0.705
2025-01-20 18:54:50.901373: Pseudo dice [np.float32(0.7646), np.float32(0.7556), np.float32(0.8539), np.float32(0.7398), np.float32(0.8852), np.float32(0.7722)]
2025-01-20 18:54:50.901411: Epoch time: 47.73 s
2025-01-20 18:54:51.360844:
2025-01-20 18:54:51.395307: Epoch 249
2025-01-20 18:54:51.395370: Current learning rate: 0.00773
2025-01-20 18:55:39.102019: train_loss -0.7075
2025-01-20 18:55:39.137172: val_loss -0.7184
2025-01-20 18:55:39.137226: Pseudo dice [np.float32(0.751), np.float32(0.7531), np.float32(0.8466), np.float32(0.7548), np.float32(0.8761), np.float32(0.7829)]
2025-01-20 18:55:39.137266: Epoch time: 47.74 s
2025-01-20 18:55:40.099671:
2025-01-20 18:55:40.135061: Epoch 250
2025-01-20 18:55:40.135124: Current learning rate: 0.00772
2025-01-20 18:56:27.918675: train_loss -0.7116
2025-01-20 18:56:27.953813: val_loss -0.7024
2025-01-20 18:56:27.953870: Pseudo dice [np.float32(0.7623), np.float32(0.738), np.float32(0.8587), np.float32(0.7604), np.float32(0.8696), np.float32(0.7573)]
2025-01-20 18:56:27.953908: Epoch time: 47.82 s