Table 1.
Parameter | Value |
---|---|
Vocabulary size | Based on the vocabulary size of the tokenizer |
Embedding dimension | 200 |
Number of filters | 100 |
Feedforward network units | 256 |
Number of classes | 2 |
Dropout rate | 0.2 |
Epochs | 1 |
Training | False |
Parameter | Value |
---|---|
Vocabulary size | Based on the vocabulary size of the tokenizer |
Embedding dimension | 200 |
Number of filters | 100 |
Feedforward network units | 256 |
Number of classes | 2 |
Dropout rate | 0.2 |
Epochs | 1 |
Training | False |