Comments (3)
All transforms on Resnet50
Epochs | Valid | Test |
---|---|---|
10 | 0.935 | 0.9612 |
20 | 0.938 | 0.9624 |
30 | 0.934 | 0.9628 |
40 | 0.940 | 0.9640 |
50 | 0.938 | 0.9637 |
60 | 0.941 | 0.9654 |
70 | 0.937 | 0.9645 |
100* | 0.939 | 0.9686 |
160* | 0.945 | 0.9690 |
* Trained using .fit()
from cancerdetection.
All transforms on Resnet101
Epochs | Valid | Test |
---|---|---|
10 | 0.884 | 0.9412 |
20 | 0.898 | 0.9440 |
30 | 0.901 | 0.9469 |
40 | 0.901 | 0.9492 |
50 | 0.904 | 0.9496 |
60 | 0.908 | 0.9522 |
70 | 0.916 | 0.9530 |
100* | 0.924 | 0.9555 |
160* | 0.937 | 0.9599 |
from cancerdetection.
All transforms on Resnet50 (random validation set)
Epochs | Valid | Test |
---|---|---|
10 | 0.986 | 0.9612 |
20 | 0.987 | 0.9604 |
30 | 0.989 | 0.9603 |
40 | 0.990 | 0.9601 |
50 | 0.990 | 0.9600 |
60 | 0.991 | 0.9611 |
70 | 0.992 | 0.9622 |
100* | 0.992 | 0.9592 |
160* | 0.994 | 0.9578 |
* Trained using .fit()
from cancerdetection.
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from cancerdetection.