| |
| |
|
|
| from transformers import BertConfig as TransformersBertConfig |
|
|
|
|
| class BertConfig(TransformersBertConfig): |
|
|
| def __init__( |
| self, |
| alibi_starting_size: int = 512, |
| attention_probs_dropout_prob: float = 0.0, |
| **kwargs, |
| ): |
| """Configuration class for MosaicBert. |
| |
| Args: |
| alibi_starting_size (int): Use `alibi_starting_size` to determine how large of an alibi tensor to |
| create when initializing the model. You should be able to ignore this parameter in most cases. |
| Defaults to 512. |
| attention_probs_dropout_prob (float): By default, turn off attention dropout in Mosaic BERT |
| (otherwise, Flash Attention will be off by default). Defaults to 0.0. |
| """ |
| super().__init__( |
| attention_probs_dropout_prob=attention_probs_dropout_prob, **kwargs) |
| self.alibi_starting_size = alibi_starting_size |
|
|
