Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Review Model Performance #2

Closed
JoshVarty opened this issue Mar 5, 2019 · 0 comments
Closed

Review Model Performance #2

JoshVarty opened this issue Mar 5, 2019 · 0 comments

Comments

@JoshVarty
Copy link
Owner

JoshVarty commented Mar 5, 2019

30 epochs @ slice(1e-6,1e-2)) (Cancer Normalization)

Name Valid Test
Resnet34 92.7 93.4
Resnet50 95.4 94.1
Resnet101 96.1 94.1
Resnet152 94.5 0.918
SqueezeNet1_1 83.3 0.8970
Densenet121 95.1 92.9

10 epochs @ slice(1e-5,2e-2) (ImageNet normalization)

Name Valid Test
Resnet50 96.9 95.8

15 epochs @ slice(1e-6, 1e-2) (Imagenet normalization)

Name Valid Test
Resnet50 97.6 94.29
Resnet101 97.7 94.87
Resnet152 97.6 95.23
Densenet121 97.6 95.19

15 epochs @ slice(1e-6, 1e-2) (Updated cancer normalization)

Name Valid Test
Resnet50 97.5 94.57
Resnet101 97.8 94.66
Resnet152 97.6 94.75
Densenet121 97.4 95.01

15 epochs @ slice(1e-6, 1e-2) + 5 epochs @ (1e-7, 1e-3) (Updated cancer normalization)

Name Valid Test
Resnet50 97.4 94.93
Resnet101 97.5 94.44
Resnet152 97.8 94.55
Densenet121 97.6 95.13

25 epochs @ slice(1e-6, 1e-2) (Imagnet normalization) More transformations

Name Valid Test
Resnet50 97.84 -
Resnet101 97.76 95.42
Resnet152 98.21 95.70
Densenet121
Densenet161
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant