Table 6 Hyper-Parameter settings of deep models.
From: Using deep learning and word embeddings for predicting human agreeableness behavior
Hyper Parameters | Values |
|---|---|
Input size | 2000 |
Vocabulary size | 1000 |
Embeddings | 128 |
Unit size | 100 |
Hidden layers | 4 |
Activation function | Sigmoid |
Optimizer | Adam |
Epochs | 35 |
Batch size | 64 |
