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Table 4 The hyper-parameters of BioEGRE

From: BioEGRE: a linguistic topology enhanced method for biomedical relation extraction based on BioELECTRA and graph pointer neural network

Parameters

Tuned range

Optimal

Max sequence length

128

128

Training batch size

[16, 32, 64]

64

Development batch size

8

8

Test batch size

8

8

Training epochs

50

50

Warmup proportion

0.1

0.1

Classifier dropout rate

[0.0, 0.05, 0.1]

0.0

GPNN layers

[1, 2]

1

GPNN input neighbors

[16, 20, 24, 28, 32]

32

GPNN output neighbors

[4, 8, 16]

4