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- Namespace(batch_size=16, data_dir='/data5/jiaxin/data/2d_lung_seg', data_path='', epochs=4000, lr=0.0001, number_class=2, save_ckpt_path='./ckpts', weight_decay=0.0005)
- MONAI version: 0.7.0
- Numpy version: 1.20.3
- Pytorch version: 1.7.0
- MONAI flags: HAS_EXT = False, USE_COMPILED = False
- MONAI rev id: bfa054b9c3064628a21f4c35bbe3132964e91f43
-
- Optional dependencies:
- Pytorch Ignite version: 0.4.7
- Nibabel version: 3.2.1
- scikit-image version: 0.19.2
- Pillow version: 8.3.2
- Tensorboard version: 2.8.0
- gdown version: 4.2.0
- TorchVision version: 0.8.0
- tqdm version: 4.62.3
- lmdb version: NOT INSTALLED or UNKNOWN VERSION.
- psutil version: 5.8.0
- pandas version: 1.3.4
- einops version: 0.3.2
- transformers version: NOT INSTALLED or UNKNOWN VERSION.
-
- For details about installing the optional dependencies, please visit:
- https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies
-
- torch.Size([2, 1, 512, 512]) torch.Size([2, 1, 512, 512])
- ----------
- epoch 1/4000
- 1/1, train_loss: 0.8561
- 2/1, train_loss: 0.8486
- epoch 1 average loss: 0.8523
- saved new best metric model
- current epoch: 1 current mean dice: 0.1870 best mean dice: 0.1870 at epoch 1
- ----------
- epoch 2/4000
- 1/1, train_loss: 0.8356
- 2/1, train_loss: 0.8205
- epoch 2 average loss: 0.8281
- saved new best metric model
- current epoch: 2 current mean dice: 0.1891 best mean dice: 0.1891 at epoch 2
- ----------
- epoch 3/4000
- 1/1, train_loss: 0.8166
- 2/1, train_loss: 0.8054
- epoch 3 average loss: 0.8110
- saved new best metric model
- current epoch: 3 current mean dice: 0.1906 best mean dice: 0.1906 at epoch 3
- ----------
- epoch 4/4000
- 1/1, train_loss: 0.7993
- 2/1, train_loss: 0.8041
- epoch 4 average loss: 0.8017
- saved new best metric model
- current epoch: 4 current mean dice: 0.1927 best mean dice: 0.1927 at epoch 4
- ----------
- epoch 5/4000
- 1/1, train_loss: 0.7933
- 2/1, train_loss: 0.7822
- epoch 5 average loss: 0.7877
- saved new best metric model
- current epoch: 5 current mean dice: 0.1947 best mean dice: 0.1947 at epoch 5
- ----------
- epoch 6/4000
- 1/1, train_loss: 0.7777
- 2/1, train_loss: 0.7768
- epoch 6 average loss: 0.7772
- saved new best metric model
- current epoch: 6 current mean dice: 0.1960 best mean dice: 0.1960 at epoch 6
- ----------
- epoch 7/4000
- 1/1, train_loss: 0.7704
- 2/1, train_loss: 0.7665
- epoch 7 average loss: 0.7684
- saved new best metric model
- current epoch: 7 current mean dice: 0.1979 best mean dice: 0.1979 at epoch 7
- ----------
- epoch 8/4000
- 1/1, train_loss: 0.7571
- 2/1, train_loss: 0.7663
- epoch 8 average loss: 0.7617
- saved new best metric model
- current epoch: 8 current mean dice: 0.2004 best mean dice: 0.2004 at epoch 8
- ----------
- epoch 9/4000
- 1/1, train_loss: 0.7510
- 2/1, train_loss: 0.7520
- epoch 9 average loss: 0.7515
- saved new best metric model
- current epoch: 9 current mean dice: 0.2041 best mean dice: 0.2041 at epoch 9
- ----------
- epoch 10/4000
- 1/1, train_loss: 0.7427
- 2/1, train_loss: 0.7407
- epoch 10 average loss: 0.7417
- saved new best metric model
- current epoch: 10 current mean dice: 0.2084 best mean dice: 0.2084 at epoch 10
- ----------
- epoch 11/4000
- 1/1, train_loss: 0.7334
- 2/1, train_loss: 0.7385
- epoch 11 average loss: 0.7360
- saved new best metric model
- current epoch: 11 current mean dice: 0.2126 best mean dice: 0.2126 at epoch 11
- ----------
- epoch 12/4000
- 1/1, train_loss: 0.7278
- 2/1, train_loss: 0.7257
- epoch 12 average loss: 0.7268
- saved new best metric model
- current epoch: 12 current mean dice: 0.2158 best mean dice: 0.2158 at epoch 12
- ----------
- epoch 13/4000
- 1/1, train_loss: 0.7213
- 2/1, train_loss: 0.7204
- epoch 13 average loss: 0.7209
- saved new best metric model
- current epoch: 13 current mean dice: 0.2180 best mean dice: 0.2180 at epoch 13
- ----------
- epoch 14/4000
- 1/1, train_loss: 0.7183
- 2/1, train_loss: 0.7068
- epoch 14 average loss: 0.7125
- saved new best metric model
- current epoch: 14 current mean dice: 0.2197 best mean dice: 0.2197 at epoch 14
- ----------
- epoch 15/4000
- 1/1, train_loss: 0.7107
- 2/1, train_loss: 0.7026
- epoch 15 average loss: 0.7066
- saved new best metric model
- current epoch: 15 current mean dice: 0.2212 best mean dice: 0.2212 at epoch 15
- ----------
- epoch 16/4000
- 1/1, train_loss: 0.7036
- 2/1, train_loss: 0.6998
- epoch 16 average loss: 0.7017
- saved new best metric model
- current epoch: 16 current mean dice: 0.2227 best mean dice: 0.2227 at epoch 16
- ----------
- epoch 17/4000
- 1/1, train_loss: 0.6967
- 2/1, train_loss: 0.6979
- epoch 17 average loss: 0.6973
- saved new best metric model
- current epoch: 17 current mean dice: 0.2249 best mean dice: 0.2249 at epoch 17
- ----------
- epoch 18/4000
- 1/1, train_loss: 0.6893
- 2/1, train_loss: 0.6926
- epoch 18 average loss: 0.6909
- saved new best metric model
- current epoch: 18 current mean dice: 0.2277 best mean dice: 0.2277 at epoch 18
- ----------
- epoch 19/4000
- 1/1, train_loss: 0.6872
- 2/1, train_loss: 0.6855
- epoch 19 average loss: 0.6863
- saved new best metric model
- current epoch: 19 current mean dice: 0.2312 best mean dice: 0.2312 at epoch 19
- ----------
- epoch 20/4000
- 1/1, train_loss: 0.6837
- 2/1, train_loss: 0.6830
- epoch 20 average loss: 0.6833
- saved new best metric model
- current epoch: 20 current mean dice: 0.2340 best mean dice: 0.2340 at epoch 20
- ----------
- epoch 21/4000
- 1/1, train_loss: 0.6801
- 2/1, train_loss: 0.6746
- epoch 21 average loss: 0.6773
- saved new best metric model
- current epoch: 21 current mean dice: 0.2365 best mean dice: 0.2365 at epoch 21
- ----------
- epoch 22/4000
- 1/1, train_loss: 0.6732
- 2/1, train_loss: 0.6759
- epoch 22 average loss: 0.6746
- saved new best metric model
- current epoch: 22 current mean dice: 0.2384 best mean dice: 0.2384 at epoch 22
- ----------
- epoch 23/4000
- 1/1, train_loss: 0.6721
- 2/1, train_loss: 0.6665
- epoch 23 average loss: 0.6693
- saved new best metric model
- current epoch: 23 current mean dice: 0.2409 best mean dice: 0.2409 at epoch 23
- ----------
- epoch 24/4000
- 1/1, train_loss: 0.6667
- 2/1, train_loss: 0.6658
- epoch 24 average loss: 0.6663
- saved new best metric model
- current epoch: 24 current mean dice: 0.2448 best mean dice: 0.2448 at epoch 24
- ----------
- epoch 25/4000
- 1/1, train_loss: 0.6629
- 2/1, train_loss: 0.6621
- epoch 25 average loss: 0.6625
- saved new best metric model
- current epoch: 25 current mean dice: 0.2499 best mean dice: 0.2499 at epoch 25
- ----------
- epoch 26/4000
- 1/1, train_loss: 0.6631
- 2/1, train_loss: 0.6565
- epoch 26 average loss: 0.6598
- saved new best metric model
- current epoch: 26 current mean dice: 0.2530 best mean dice: 0.2530 at epoch 26
- ----------
- epoch 27/4000
- 1/1, train_loss: 0.6576
- 2/1, train_loss: 0.6528
- epoch 27 average loss: 0.6552
- saved new best metric model
- current epoch: 27 current mean dice: 0.2569 best mean dice: 0.2569 at epoch 27
- ----------
- epoch 28/4000
- 1/1, train_loss: 0.6561
- 2/1, train_loss: 0.6496
- epoch 28 average loss: 0.6528
- saved new best metric model
- current epoch: 28 current mean dice: 0.2626 best mean dice: 0.2626 at epoch 28
- ----------
- epoch 29/4000
- 1/1, train_loss: 0.6527
- 2/1, train_loss: 0.6475
- epoch 29 average loss: 0.6501
- saved new best metric model
- current epoch: 29 current mean dice: 0.2680 best mean dice: 0.2680 at epoch 29
- ----------
- epoch 30/4000
- 1/1, train_loss: 0.6489
- 2/1, train_loss: 0.6453
- epoch 30 average loss: 0.6471
- saved new best metric model
- current epoch: 30 current mean dice: 0.2707 best mean dice: 0.2707 at epoch 30
- ----------
- epoch 31/4000
- 1/1, train_loss: 0.6452
- 2/1, train_loss: 0.6466
- epoch 31 average loss: 0.6459
- saved new best metric model
- current epoch: 31 current mean dice: 0.2740 best mean dice: 0.2740 at epoch 31
- ----------
- epoch 32/4000
- 1/1, train_loss: 0.6429
- 2/1, train_loss: 0.6396
- epoch 32 average loss: 0.6412
- saved new best metric model
- current epoch: 32 current mean dice: 0.2773 best mean dice: 0.2773 at epoch 32
- ----------
- epoch 33/4000
- 1/1, train_loss: 0.6395
- 2/1, train_loss: 0.6377
- epoch 33 average loss: 0.6386
- saved new best metric model
- current epoch: 33 current mean dice: 0.2837 best mean dice: 0.2837 at epoch 33
- ----------
- epoch 34/4000
- 1/1, train_loss: 0.6377
- 2/1, train_loss: 0.6325
- epoch 34 average loss: 0.6351
- saved new best metric model
- current epoch: 34 current mean dice: 0.2918 best mean dice: 0.2918 at epoch 34
- ----------
- epoch 35/4000
- 1/1, train_loss: 0.6332
- 2/1, train_loss: 0.6360
- epoch 35 average loss: 0.6346
- saved new best metric model
- current epoch: 35 current mean dice: 0.2990 best mean dice: 0.2990 at epoch 35
- ----------
- epoch 36/4000
- 1/1, train_loss: 0.6323
- 2/1, train_loss: 0.6298
- epoch 36 average loss: 0.6310
- saved new best metric model
- current epoch: 36 current mean dice: 0.3046 best mean dice: 0.3046 at epoch 36
- ----------
- epoch 37/4000
- 1/1, train_loss: 0.6303
- 2/1, train_loss: 0.6287
- epoch 37 average loss: 0.6295
- saved new best metric model
- current epoch: 37 current mean dice: 0.3096 best mean dice: 0.3096 at epoch 37
- ----------
- epoch 38/4000
- 1/1, train_loss: 0.6286
- 2/1, train_loss: 0.6251
- epoch 38 average loss: 0.6268
- saved new best metric model
- current epoch: 38 current mean dice: 0.3176 best mean dice: 0.3176 at epoch 38
- ----------
- epoch 39/4000
- 1/1, train_loss: 0.6236
- 2/1, train_loss: 0.6249
- epoch 39 average loss: 0.6242
- saved new best metric model
- current epoch: 39 current mean dice: 0.3240 best mean dice: 0.3240 at epoch 39
- ----------
- epoch 40/4000
- 1/1, train_loss: 0.6240
- 2/1, train_loss: 0.6159
- epoch 40 average loss: 0.6199
- saved new best metric model
- current epoch: 40 current mean dice: 0.3290 best mean dice: 0.3290 at epoch 40
- ----------
- epoch 41/4000
- 1/1, train_loss: 0.6205
- 2/1, train_loss: 0.6181
- epoch 41 average loss: 0.6193
- saved new best metric model
- current epoch: 41 current mean dice: 0.3333 best mean dice: 0.3333 at epoch 41
- ----------
- epoch 42/4000
- 1/1, train_loss: 0.6164
- 2/1, train_loss: 0.6188
- epoch 42 average loss: 0.6176
- saved new best metric model
- current epoch: 42 current mean dice: 0.3420 best mean dice: 0.3420 at epoch 42
- ----------
- epoch 43/4000
- 1/1, train_loss: 0.6139
- 2/1, train_loss: 0.6146
- epoch 43 average loss: 0.6142
- saved new best metric model
- current epoch: 43 current mean dice: 0.3505 best mean dice: 0.3505 at epoch 43
- ----------
- epoch 44/4000
- 1/1, train_loss: 0.6145
- 2/1, train_loss: 0.6131
- epoch 44 average loss: 0.6138
- saved new best metric model
- current epoch: 44 current mean dice: 0.3597 best mean dice: 0.3597 at epoch 44
- ----------
- epoch 45/4000
- 1/1, train_loss: 0.6118
- 2/1, train_loss: 0.6096
- epoch 45 average loss: 0.6107
- saved new best metric model
- current epoch: 45 current mean dice: 0.3663 best mean dice: 0.3663 at epoch 45
- ----------
- epoch 46/4000
- 1/1, train_loss: 0.6101
- 2/1, train_loss: 0.6093
- epoch 46 average loss: 0.6097
- saved new best metric model
- current epoch: 46 current mean dice: 0.3703 best mean dice: 0.3703 at epoch 46
- ----------
- epoch 47/4000
- 1/1, train_loss: 0.6045
- 2/1, train_loss: 0.6114
- epoch 47 average loss: 0.6079
- saved new best metric model
- current epoch: 47 current mean dice: 0.3756 best mean dice: 0.3756 at epoch 47
- ----------
- epoch 48/4000
- 1/1, train_loss: 0.6057
- 2/1, train_loss: 0.6009
- epoch 48 average loss: 0.6033
- saved new best metric model
- current epoch: 48 current mean dice: 0.3794 best mean dice: 0.3794 at epoch 48
- ----------
- epoch 49/4000
- 1/1, train_loss: 0.6040
- 2/1, train_loss: 0.6006
- epoch 49 average loss: 0.6023
- saved new best metric model
- current epoch: 49 current mean dice: 0.3848 best mean dice: 0.3848 at epoch 49
- ----------
- epoch 50/4000
- 1/1, train_loss: 0.6013
- 2/1, train_loss: 0.6002
- epoch 50 average loss: 0.6008
- saved new best metric model
- current epoch: 50 current mean dice: 0.3888 best mean dice: 0.3888 at epoch 50
- ----------
- epoch 51/4000
- 1/1, train_loss: 0.6015
- 2/1, train_loss: 0.5954
- epoch 51 average loss: 0.5985
- saved new best metric model
- current epoch: 51 current mean dice: 0.3908 best mean dice: 0.3908 at epoch 51
- ----------
- epoch 52/4000
- 1/1, train_loss: 0.5973
- 2/1, train_loss: 0.5967
- epoch 52 average loss: 0.5970
- saved new best metric model
- current epoch: 52 current mean dice: 0.3956 best mean dice: 0.3956 at epoch 52
- ----------
- epoch 53/4000
- 1/1, train_loss: 0.5974
- 2/1, train_loss: 0.5952
- epoch 53 average loss: 0.5963
- saved new best metric model
- current epoch: 53 current mean dice: 0.4026 best mean dice: 0.4026 at epoch 53
- ----------
- epoch 54/4000
- 1/1, train_loss: 0.5948
- 2/1, train_loss: 0.5926
- epoch 54 average loss: 0.5937
- saved new best metric model
- current epoch: 54 current mean dice: 0.4073 best mean dice: 0.4073 at epoch 54
- ----------
- epoch 55/4000
- 1/1, train_loss: 0.5920
- 2/1, train_loss: 0.5982
- epoch 55 average loss: 0.5951
- saved new best metric model
- current epoch: 55 current mean dice: 0.4085 best mean dice: 0.4085 at epoch 55
- ----------
- epoch 56/4000
- 1/1, train_loss: 0.5891
- 2/1, train_loss: 0.5914
- epoch 56 average loss: 0.5903
- saved new best metric model
- current epoch: 56 current mean dice: 0.4127 best mean dice: 0.4127 at epoch 56
- ----------
- epoch 57/4000
- 1/1, train_loss: 0.5900
- 2/1, train_loss: 0.5861
- epoch 57 average loss: 0.5881
- saved new best metric model
- current epoch: 57 current mean dice: 0.4193 best mean dice: 0.4193 at epoch 57
- ----------
- epoch 58/4000
- 1/1, train_loss: 0.5892
- 2/1, train_loss: 0.5832
- epoch 58 average loss: 0.5862
- saved new best metric model
- current epoch: 58 current mean dice: 0.4251 best mean dice: 0.4251 at epoch 58
- ----------
- epoch 59/4000
- 1/1, train_loss: 0.5879
- 2/1, train_loss: 0.5820
- epoch 59 average loss: 0.5849
- saved new best metric model
- current epoch: 59 current mean dice: 0.4280 best mean dice: 0.4280 at epoch 59
- ----------
- epoch 60/4000
- 1/1, train_loss: 0.5832
- 2/1, train_loss: 0.5851
- epoch 60 average loss: 0.5841
- current epoch: 60 current mean dice: 0.4262 best mean dice: 0.4280 at epoch 59
- ----------
- epoch 61/4000
- 1/1, train_loss: 0.5838
- 2/1, train_loss: 0.5798
- epoch 61 average loss: 0.5818
- current epoch: 61 current mean dice: 0.4254 best mean dice: 0.4280 at epoch 59
- ----------
- epoch 62/4000
- 1/1, train_loss: 0.5825
- 2/1, train_loss: 0.5744
- epoch 62 average loss: 0.5784
- current epoch: 62 current mean dice: 0.4204 best mean dice: 0.4280 at epoch 59
- ----------
- epoch 63/4000
- 1/1, train_loss: 0.5815
- 2/1, train_loss: 0.5801
- epoch 63 average loss: 0.5808
- current epoch: 63 current mean dice: 0.4229 best mean dice: 0.4280 at epoch 59
- ----------
- epoch 64/4000
- 1/1, train_loss: 0.5778
- 2/1, train_loss: 0.5777
- epoch 64 average loss: 0.5777
- current epoch: 64 current mean dice: 0.4272 best mean dice: 0.4280 at epoch 59
- ----------
- epoch 65/4000
- 1/1, train_loss: 0.5775
- 2/1, train_loss: 0.5757
- epoch 65 average loss: 0.5766
- saved new best metric model
- current epoch: 65 current mean dice: 0.4365 best mean dice: 0.4365 at epoch 65
- ----------
- epoch 66/4000
- 1/1, train_loss: 0.5754
- 2/1, train_loss: 0.5734
- epoch 66 average loss: 0.5744
- saved new best metric model
- current epoch: 66 current mean dice: 0.4463 best mean dice: 0.4463 at epoch 66
- ----------
- epoch 67/4000
- 1/1, train_loss: 0.5718
- 2/1, train_loss: 0.5750
- epoch 67 average loss: 0.5734
- current epoch: 67 current mean dice: 0.4420 best mean dice: 0.4463 at epoch 66
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- epoch 68/4000
- 1/1, train_loss: 0.5743
- 2/1, train_loss: 0.5689
- epoch 68 average loss: 0.5716
- current epoch: 68 current mean dice: 0.4345 best mean dice: 0.4463 at epoch 66
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- epoch 69/4000
- 1/1, train_loss: 0.5692
- 2/1, train_loss: 0.5707
- epoch 69 average loss: 0.5700
- current epoch: 69 current mean dice: 0.4366 best mean dice: 0.4463 at epoch 66
- ----------
- epoch 70/4000
- 1/1, train_loss: 0.5721
- 2/1, train_loss: 0.5649
- epoch 70 average loss: 0.5685
- saved new best metric model
- current epoch: 70 current mean dice: 0.4464 best mean dice: 0.4464 at epoch 70
- ----------
- epoch 71/4000
- 1/1, train_loss: 0.5678
- 2/1, train_loss: 0.5681
- epoch 71 average loss: 0.5680
- saved new best metric model
- current epoch: 71 current mean dice: 0.4633 best mean dice: 0.4633 at epoch 71
- ----------
- epoch 72/4000
- 1/1, train_loss: 0.5655
- 2/1, train_loss: 0.5707
- epoch 72 average loss: 0.5681
- saved new best metric model
- current epoch: 72 current mean dice: 0.4794 best mean dice: 0.4794 at epoch 72
- ----------
- epoch 73/4000
- 1/1, train_loss: 0.5688
- 2/1, train_loss: 0.5586
- epoch 73 average loss: 0.5637
- current epoch: 73 current mean dice: 0.4758 best mean dice: 0.4794 at epoch 72
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- epoch 74/4000
- 1/1, train_loss: 0.5667
- 2/1, train_loss: 0.5648
- epoch 74 average loss: 0.5658
- current epoch: 74 current mean dice: 0.4650 best mean dice: 0.4794 at epoch 72
- ----------
- epoch 75/4000
- 1/1, train_loss: 0.5650
- 2/1, train_loss: 0.5617
- epoch 75 average loss: 0.5633
- current epoch: 75 current mean dice: 0.4571 best mean dice: 0.4794 at epoch 72
- ----------
- epoch 76/4000
- 1/1, train_loss: 0.5607
- 2/1, train_loss: 0.5634
- epoch 76 average loss: 0.5621
- saved new best metric model
- current epoch: 76 current mean dice: 0.4811 best mean dice: 0.4811 at epoch 76
- ----------
- epoch 77/4000
- 1/1, train_loss: 0.5612
- 2/1, train_loss: 0.5614
- epoch 77 average loss: 0.5613
- saved new best metric model
- current epoch: 77 current mean dice: 0.4927 best mean dice: 0.4927 at epoch 77
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- epoch 78/4000
- 1/1, train_loss: 0.5632
- 2/1, train_loss: 0.5559
- epoch 78 average loss: 0.5596
- current epoch: 78 current mean dice: 0.4804 best mean dice: 0.4927 at epoch 77
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- epoch 79/4000
- 1/1, train_loss: 0.5556
- 2/1, train_loss: 0.5653
- epoch 79 average loss: 0.5604
- current epoch: 79 current mean dice: 0.4748 best mean dice: 0.4927 at epoch 77
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- epoch 80/4000
- 1/1, train_loss: 0.5596
- 2/1, train_loss: 0.5563
- epoch 80 average loss: 0.5580
- current epoch: 80 current mean dice: 0.4789 best mean dice: 0.4927 at epoch 77
- ----------
- epoch 81/4000
- 1/1, train_loss: 0.5577
- 2/1, train_loss: 0.5508
- epoch 81 average loss: 0.5543
- saved new best metric model
- current epoch: 81 current mean dice: 0.5018 best mean dice: 0.5018 at epoch 81
- ----------
- epoch 82/4000
- 1/1, train_loss: 0.5577
- 2/1, train_loss: 0.5513
- epoch 82 average loss: 0.5545
- saved new best metric model
- current epoch: 82 current mean dice: 0.5164 best mean dice: 0.5164 at epoch 82
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- epoch 83/4000
- 1/1, train_loss: 0.5553
- 2/1, train_loss: 0.5542
- epoch 83 average loss: 0.5547
- saved new best metric model
- current epoch: 83 current mean dice: 0.5208 best mean dice: 0.5208 at epoch 83
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- epoch 84/4000
- 1/1, train_loss: 0.5544
- 2/1, train_loss: 0.5512
- epoch 84 average loss: 0.5528
- current epoch: 84 current mean dice: 0.5024 best mean dice: 0.5208 at epoch 83
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- epoch 85/4000
- 1/1, train_loss: 0.5510
- 2/1, train_loss: 0.5543
- epoch 85 average loss: 0.5526
- current epoch: 85 current mean dice: 0.4872 best mean dice: 0.5208 at epoch 83
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- epoch 86/4000
- 1/1, train_loss: 0.5526
- 2/1, train_loss: 0.5470
- epoch 86 average loss: 0.5498
- current epoch: 86 current mean dice: 0.4798 best mean dice: 0.5208 at epoch 83
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- epoch 87/4000
- 1/1, train_loss: 0.5489
- 2/1, train_loss: 0.5514
- epoch 87 average loss: 0.5502
- current epoch: 87 current mean dice: 0.5002 best mean dice: 0.5208 at epoch 83
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- epoch 88/4000
- 1/1, train_loss: 0.5508
- 2/1, train_loss: 0.5479
- epoch 88 average loss: 0.5494
- current epoch: 88 current mean dice: 0.5156 best mean dice: 0.5208 at epoch 83
- ----------
- epoch 89/4000
- 1/1, train_loss: 0.5487
- 2/1, train_loss: 0.5468
- epoch 89 average loss: 0.5477
- saved new best metric model
- current epoch: 89 current mean dice: 0.5231 best mean dice: 0.5231 at epoch 89
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- epoch 90/4000
- 1/1, train_loss: 0.5474
- 2/1, train_loss: 0.5427
- epoch 90 average loss: 0.5450
- current epoch: 90 current mean dice: 0.5217 best mean dice: 0.5231 at epoch 89
- ----------
- epoch 91/4000
- 1/1, train_loss: 0.5468
- 2/1, train_loss: 0.5470
- epoch 91 average loss: 0.5469
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