Datasets:
Jerry Gunter
JerryG/
SIIM-Melanoma-Prep-Data
0
Downloads: 1
Diff of /logs_v6.txt [000000] .. [e14990]

Switch to unified view

a b/logs_v6.txt 

  1
  
Loaded pretrained weights for efficientnet-b2





  
  

  2
  
---------- Fold: 1 ----------





  
  

  3
  
0:05:06 | Epoch: 1/15 | Loss: 121.9 | Train Acc: 0.961 | Valid Acc: 0.912 | ROC: 0.913





  
  

  4
  
0:05:01 | Epoch: 2/15 | Loss: 94.7 | Train Acc: 0.971 | Valid Acc: 0.938 | ROC: 0.974





  
  

  5
  
0:04:59 | Epoch: 3/15 | Loss: 88.2 | Train Acc: 0.972 | Valid Acc: 0.939 | ROC: 0.968





  
  

  6
  
0:04:57 | Epoch: 4/15 | Loss: 82.25 | Train Acc: 0.974 | Valid Acc: 0.952 | ROC: 0.981





  
  

  7
  
0:04:56 | Epoch: 5/15 | Loss: 78.46 | Train Acc: 0.975 | Valid Acc: 0.924 | ROC: 0.95





  
  

  8
  
0:04:55 | Epoch: 6/15 | Loss: 75.07 | Train Acc: 0.976 | Valid Acc: 0.939 | ROC: 0.975





  
  

  9
  
Epoch     6: reducing learning rate of group 0 to 2.0000e-04.





  
  

  10
  
0:04:55 | Epoch: 7/15 | Loss: 62.55 | Train Acc: 0.98 | Valid Acc: 0.946 | ROC: 0.981





  
  

  11
  
Early stopping (no improvement since 3 models) | Best ROC: 0.9812042692939246





  
  

  12
  
Loaded pretrained weights for efficientnet-b2





  
  

  13
  
---------- Fold: 2 ----------





  
  

  14
  
0:05:00 | Epoch: 1/15 | Loss: 88.39 | Train Acc: 0.971 | Valid Acc: 0.97 | ROC: 0.973





  
  

  15
  
0:04:57 | Epoch: 2/15 | Loss: 81.09 | Train Acc: 0.974 | Valid Acc: 0.966 | ROC: 0.976





  
  

  16
  
0:04:55 | Epoch: 3/15 | Loss: 76.29 | Train Acc: 0.976 | Valid Acc: 0.979 | ROC: 0.981





  
  

  17
  
0:04:54 | Epoch: 4/15 | Loss: 74.83 | Train Acc: 0.976 | Valid Acc: 0.955 | ROC: 0.97





  
  

  18
  
0:04:54 | Epoch: 5/15 | Loss: 69.22 | Train Acc: 0.977 | Valid Acc: 0.976 | ROC: 0.975





  
  

  19
  
Epoch     5: reducing learning rate of group 0 to 2.0000e-04.





  
  

  20
  
0:04:54 | Epoch: 6/15 | Loss: 57.89 | Train Acc: 0.981 | Valid Acc: 0.975 | ROC: 0.979





  
  

  21
  
Early stopping (no improvement since 3 models) | Best ROC: 0.9811217376743738





  
  

  22
  
Loaded pretrained weights for efficientnet-b2





  
  

  23
  
---------- Fold: 3 ----------





  
  

  24
  
0:04:54 | Epoch: 1/15 | Loss: 75.44 | Train Acc: 0.975 | Valid Acc: 0.967 | ROC: 0.982





  
  

  25
  
0:04:54 | Epoch: 2/15 | Loss: 73.25 | Train Acc: 0.977 | Valid Acc: 0.971 | ROC: 0.981





  
  

  26
  
0:04:54 | Epoch: 3/15 | Loss: 69.9 | Train Acc: 0.978 | Valid Acc: 0.978 | ROC: 0.983





  
  

  27
  
0:04:53 | Epoch: 4/15 | Loss: 66.87 | Train Acc: 0.978 | Valid Acc: 0.979 | ROC: 0.984





  
  

  28
  
0:04:52 | Epoch: 5/15 | Loss: 65.13 | Train Acc: 0.978 | Valid Acc: 0.978 | ROC: 0.987





  
  

  29
  
0:04:53 | Epoch: 6/15 | Loss: 63.17 | Train Acc: 0.979 | Valid Acc: 0.979 | ROC: 0.984





  
  

  30
  
0:04:51 | Epoch: 7/15 | Loss: 60.53 | Train Acc: 0.98 | Valid Acc: 0.978 | ROC: 0.984





  
  

  31
  
Epoch     7: reducing learning rate of group 0 to 2.0000e-04.





  
  

  32
  
0:04:53 | Epoch: 8/15 | Loss: 47.86 | Train Acc: 0.983 | Valid Acc: 0.982 | ROC: 0.984





  
  

  33
  
Early stopping (no improvement since 3 models) | Best ROC: 0.9868701392202659





  
  

  34
  
Loaded pretrained weights for efficientnet-b2





  
  

  35
  
---------- Fold: 4 ----------





  
  

  36
  
0:04:55 | Epoch: 1/15 | Loss: 61.75 | Train Acc: 0.98 | Valid Acc: 0.974 | ROC: 0.984





  
  

  37
  
0:04:52 | Epoch: 2/15 | Loss: 59.32 | Train Acc: 0.98 | Valid Acc: 0.974 | ROC: 0.986





  
  

  38
  
0:04:54 | Epoch: 3/15 | Loss: 55.97 | Train Acc: 0.981 | Valid Acc: 0.974 | ROC: 0.983





  
  

  39
  
0:04:55 | Epoch: 4/15 | Loss: 55.27 | Train Acc: 0.981 | Valid Acc: 0.97 | ROC: 0.977





  
  

  40
  
Epoch     4: reducing learning rate of group 0 to 2.0000e-04.





  
  

  41
  
0:04:55 | Epoch: 5/15 | Loss: 41.34 | Train Acc: 0.986 | Valid Acc: 0.976 | ROC: 0.983





  
  

  42
  
Early stopping (no improvement since 3 models) | Best ROC: 0.9862235439534969





  
  

  43
  
Loaded pretrained weights for efficientnet-b2





  
  

  44
  
---------- Fold: 5 ----------





  
  

  45
  
0:04:54 | Epoch: 1/15 | Loss: 63.11 | Train Acc: 0.979 | Valid Acc: 0.979 | ROC: 0.992





  
  

  46
  
0:04:53 | Epoch: 2/15 | Loss: 60.21 | Train Acc: 0.98 | Valid Acc: 0.98 | ROC: 0.989





  
  

  47
  
0:04:55 | Epoch: 3/15 | Loss: 57.91 | Train Acc: 0.98 | Valid Acc: 0.98 | ROC: 0.991





  
  

  48
  
Epoch     3: reducing learning rate of group 0 to 2.0000e-04.





  
  

  49
  
0:04:56 | Epoch: 4/15 | Loss: 45.1 | Train Acc: 0.984 | Valid Acc: 0.981 | ROC: 0.992





  
  

  50
  
0:04:56 | Epoch: 5/15 | Loss: 41.61 | Train Acc: 0.985 | Valid Acc: 0.979 | ROC: 0.991





  
  

  51
  
0:04:56 | Epoch: 6/15 | Loss: 36.48 | Train Acc: 0.988 | Valid Acc: 0.982 | ROC: 0.992





  
  

  52
  
Epoch     6: reducing learning rate of group 0 to 8.0000e-05.





  
  

  53
  
0:04:57 | Epoch: 7/15 | Loss: 31.25 | Train Acc: 0.989 | Valid Acc: 0.982 | ROC: 0.992





  
  

  54
  
Early stopping (no improvement since 3 models) | Best ROC: 0.9923051292463533





  
  

  55
  
Loaded pretrained weights for efficientnet-b2





  
  

  56
  
---------- Fold: 6 ----------





  
  

  57
  
0:04:56 | Epoch: 1/15 | Loss: 62.28 | Train Acc: 0.98 | Valid Acc: 0.986 | ROC: 0.992





  
  

  58
  
0:04:57 | Epoch: 2/15 | Loss: 57.42 | Train Acc: 0.981 | Valid Acc: 0.982 | ROC: 0.989





  
  

  59
  
0:04:57 | Epoch: 3/15 | Loss: 59.15 | Train Acc: 0.979 | Valid Acc: 0.984 | ROC: 0.99





  
  

  60
  
Epoch     3: reducing learning rate of group 0 to 2.0000e-04.





  
  

  61
  
0:04:57 | Epoch: 4/15 | Loss: 44.86 | Train Acc: 0.984 | Valid Acc: 0.986 | ROC: 0.992





  
  

  62
  
0:04:56 | Epoch: 5/15 | Loss: 39.38 | Train Acc: 0.986 | Valid Acc: 0.987 | ROC: 0.991





  
  

  63
  
Epoch     5: reducing learning rate of group 0 to 8.0000e-05.





  
  

  64
  
0:04:56 | Epoch: 6/15 | Loss: 34.3 | Train Acc: 0.988 | Valid Acc: 0.987 | ROC: 0.991





  
  

  65
  
0:04:56 | Epoch: 7/15 | Loss: 30.06 | Train Acc: 0.99 | Valid Acc: 0.985 | ROC: 0.992





  
  

  66
  
0:04:55 | Epoch: 8/15 | Loss: 27.28 | Train Acc: 0.991 | Valid Acc: 0.986 | ROC: 0.992





  
  

  67
  
0:04:55 | Epoch: 9/15 | Loss: 26.81 | Train Acc: 0.99 | Valid Acc: 0.987 | ROC: 0.991





  
  

  68
  
Epoch     9: reducing learning rate of group 0 to 3.2000e-05.





  
  

  69
  
0:04:52 | Epoch: 10/15 | Loss: 24.69 | Train Acc: 0.991 | Valid Acc: 0.987 | ROC: 0.99





  
  

  70
  
Early stopping (no improvement since 3 models) | Best ROC: 0.9922027185133513





  
  

  71
  
Loaded pretrained weights for efficientnet-b2