Table 2 Experiment to tune hyperparameters for segmentation anything model
From: Segmentation for mammography classification utilizing deep convolutional neural network
Parameter | Search area | Chosen value |
|---|---|---|
Decay | [ 0.001, 0.0001] | 0.0001 |
Optimizer | [Adam, RMSprop] | Adam |
Learning rate | [1e-4, 2e-4] | 2e-4 |
Dropout | [0.2, 0.1] | 0.2 |
Batch size | [32,64,128,256] | 64 |
Stride | [\(1\times 1, 2\times 2\)] | \(1\times 1\) |
Padding | [Same, Valid] | Same |