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mediapipe_model_maker.text_classifier.BertModelOptions
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Configurable model options for a BERT model.
mediapipe_model_maker.text_classifier.BertModelOptions(
seq_len: int = 128, do_fine_tuning: bool = True, dropout_rate: float = 0.1
)
See https://arxiv.org/abs/1810.04805 (BERT: Pre-training of Deep Bidirectional
Transformers for Language Understanding) for more details.
Attributes:
seq_len: Length of the sequence to feed into the model.
do_fine_tuning: If true, then the BERT model is not frozen for training.
dropout_rate: The rate for dropout.
Attributes
seq_len
Dataclass field
do_fine_tuning
Dataclass field
dropout_rate
Dataclass field
Methods
__eq__
__eq__(
other
)
Class Variables
do_fine_tuning
True
dropout_rate
0.1
seq_len
128
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Last updated 2024-05-07 UTC.
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{"lastModified": "Last updated 2024-05-07 UTC."}
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