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