-
Notifications
You must be signed in to change notification settings - Fork 0
/
LOG_TrainSkinCancer_10epoch.txt
26 lines (24 loc) · 2.72 KB
/
LOG_TrainSkinCancer_10epoch.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
(alfonso1) c:\SkinCancerDetection_Resnet_Pytorch>python Train224x224_SkinCancer_Resnet_Pytorch.py
C:\Users\Alfonso Blanco\.conda\envs\alfonso1\lib\site-packages\numpy\_distributor_init.py:30: UserWarning: loaded more than 1 DLL from .libs:
C:\Users\Alfonso Blanco\.conda\envs\alfonso1\lib\site-packages\numpy\.libs\libopenblas.FB5AE2TYXYH2IJRDKGDGQ3XBKLKTF43H.gfortran-win_amd64.dll
C:\Users\Alfonso Blanco\.conda\envs\alfonso1\lib\site-packages\numpy\.libs\libopenblas64__v0.3.21-gcc_10_3_0.dll
warnings.warn("loaded more than 1 DLL from .libs:"
C:\Users\Alfonso Blanco\AppData\Roaming\Python\Python39\site-packages\torchvision\models\_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
warnings.warn(
C:\Users\Alfonso Blanco\AppData\Roaming\Python\Python39\site-packages\torchvision\models\_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet50_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet50_Weights.DEFAULT` to get the most up-to-date weights.
warnings.warn(msg)
No. epochs: 1, Training Loss: 0.878 Valid Loss: 0.798 Valid Accuracy: 0.74
No. epochs: 2, Training Loss: 0.324 Valid Loss: 0.59 Valid Accuracy: 0.784
No. epochs: 3, Training Loss: 0.103 Valid Loss: 0.521 Valid Accuracy: 0.812
No. epochs: 3, Training Loss: 0.511 Valid Loss: 0.54 Valid Accuracy: 0.819
No. epochs: 4, Training Loss: 0.288 Valid Loss: 0.503 Valid Accuracy: 0.822
No. epochs: 5, Training Loss: 0.11 Valid Loss: 0.396 Valid Accuracy: 0.858
No. epochs: 6, Training Loss: 0.021 Valid Loss: 0.383 Valid Accuracy: 0.867
No. epochs: 6, Training Loss: 0.205 Valid Loss: 0.4 Valid Accuracy: 0.858
No. epochs: 7, Training Loss: 0.119 Valid Loss: 0.39 Valid Accuracy: 0.864
No. epochs: 8, Training Loss: 0.065 Valid Loss: 0.394 Valid Accuracy: 0.863
No. epochs: 8, Training Loss: 0.207 Valid Loss: 0.385 Valid Accuracy: 0.864
No. epochs: 9, Training Loss: 0.148 Valid Loss: 0.382 Valid Accuracy: 0.86
No. epochs: 10, Training Loss: 0.089 Valid Loss: 0.386 Valid Accuracy: 0.863
Test accuracy of model: 79.167%
(alfonso1) c:\SkinCancerDetection_Resnet_Pytorch>