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Table 5 The detailed training settings of ELECTRA-DTA

From: ELECTRA-DTA: a new compound-protein binding affinity prediction model based on the contextualized sequence encoding

Parameter

Setting

Parameter

Setting

CNN kernel size

3

Learning rate (lr)

3e-4

Length of SMILES sequence

100

Length of protein sequence

1000

Vector dimension

256

Number of filters

256;512

Epoch

100

Batchsize

256

hidden neurons

1024; 1024; 512

dropout

0.4