Skip to main content

Table 1 Overview of hyperparameters used

From: Similarity-based pairing improves efficiency of siamese neural networks for regression tasks and uncertainty quantification

Model

Structure

Max LR

Min LR

Patience

Epsilon

Epochs

MLP

[2048,128,1]

5e-4

1e-5

50

1e-6

70

MLP-ΔFPa

[2048,128,1]

1e-3

1e-5

50

1e-6

200/150/100

MLP-ΔFPb

[2048,128,1]

1e-4

1e-6

200

1e-7

100

MLP-SNNa

[2048,512,128;128,1]

1e-3

1e-5

50

1e-6

200,150,100

MLP-SNNb

[2048,512,128;128,1]

1e-4

1e-6

200

1e-7

20/40/30

Chemformer

[Dimension = 512, Attention Heads = 8, Layers = 6]

[512,64,1]

5e-4

5e-4

0

1e-8

150

  1. a trained with the similarity-based pairing and b with exhaustive pairing