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from transformers.configuration_utils import PretrainedConfig
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class BertConfig(PretrainedConfig):
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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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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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self.alibi_starting_size = alibi_starting_size
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