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. 2023 Jul 28;23:139. doi: 10.1186/s12911-023-02233-0

Table 2.

Hyperparameter tuning of models

Model Hyperparameters
Layer Batch Size Learning rate
1 Convolution 8 × 3, strides = 1 + ReLU - LSTM 8 10–5
2 Convolution 8 × 3, 16 × 3, strides = 1 + ReLU - LSTM
3 Convolution 8 × 3, 16 × 3, 32 × 3, strides = 1 + ReLU - LSTM
4 Convolution 8 × 3, 16 × 3, 32 × 3, 64 × 3, strides = 1 + ReLU - LSTM
5 Convolution 8 × 3, strides = 1 + ReLU - BiLSTM
6 Convolution 8 × 3, 16 × 3, strides = 1 + ReLU - BiLSTM
7 Convolution 8 × 3, 16 × 3, 32 × 3, strides = 1 + ReLU - BiLSTM
8 Convolution 8 × 3, 16 × 3, 32 × 3, 64 × 3, strides = 1 + ReLU - BiLSTM
9 Convolution 8 × 3, 16 × 3, 32 × 3, 64 × 3, 128 × 3, strides = 1 + ReLU - BiLSTM
10 Convolution 8 × 3, 16 × 3, 32 × 3, 64 × 3, 128 × 3, 256 × 3, strides = 1 + ReLU - BiLSTM
11 Convolution 8 × 3, 16 × 3, 32 × 3, 64 × 3, 128 × 3, 256 × 3, 512 × 3, strides = 1 + ReLU - BiLSTM
12 Convolution 8 × 3, 16 × 3, 32 × 3, 64 × 3, 128 × 3, 256 × 3, 512 × 3, 1024 × 3, strides = 1 + ReLU - BiLSTM
13 Convolution 8 × 3, 16 × 3, 32 × 3, 64 × 3, 128 × 3, 256 × 3, 512 × 3, 1024 × 3, 2048 × 3, strides = 1 + ReLU - BiLSTM