Table 2 Hyper-parameters and computational environments
From: Child-Sum EATree-LSTMs: enhanced attentive Child-Sum Tree-LSTMs for biomedical event extraction
Hyper-parameters | Computational environments | ||
|---|---|---|---|
parameters | value | parameters | value |
Batch size | 32 | CPU | Inter (R) Xeon (R) E5-268W |
Dropout | 0.2 | GPU | GTX 1080Ti |
Learning rate | 0.001 | Memory | 128G |
Epochs | 50 | parser | Python 3.6 |
Optimizer | Adam | tool | Pytorch 1.9 |
Word embedding | 720 | IDE | Pycharm Professional 2022 |
Hidden units | 256 | ||
L2 regularization | 0.003 | ||