Table 4 Hyperparameter settings for the BERT-based model.

From: A hybrid super learner ensemble for phishing detection on mobile devices

Hyperparameter

Value

Pretrained model

BERT-base uncased

Maximum sequence length

128

Batch size

64

Embedding dimension

768

Pooling method

Mean pooling over tokens

Train-test split

80–20%