48 lines
1.4 KiB
Python
48 lines
1.4 KiB
Python
from transformers.configuration_utils import PretrainedConfig
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from surya.common.s3 import S3DownloaderMixin
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ID2LABEL = {0: "good", 1: "bad"}
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class DistilBertConfig(S3DownloaderMixin, PretrainedConfig):
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model_type = "distilbert"
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attribute_map = {
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"hidden_size": "dim",
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"num_attention_heads": "n_heads",
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"num_hidden_layers": "n_layers",
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}
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def __init__(
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self,
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vocab_size=30522,
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max_position_embeddings=512,
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sinusoidal_pos_embds=False,
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n_layers=6,
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n_heads=12,
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dim=768,
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hidden_dim=4 * 768,
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dropout=0.1,
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attention_dropout=0.1,
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activation="gelu",
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initializer_range=0.02,
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qa_dropout=0.1,
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seq_classif_dropout=0.2,
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pad_token_id=0,
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**kwargs,
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):
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self.vocab_size = vocab_size
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self.max_position_embeddings = max_position_embeddings
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self.sinusoidal_pos_embds = sinusoidal_pos_embds
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self.n_layers = n_layers
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self.n_heads = n_heads
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self.dim = dim
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self.hidden_dim = hidden_dim
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self.dropout = dropout
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self.attention_dropout = attention_dropout
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self.activation = activation
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self.initializer_range = initializer_range
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self.qa_dropout = qa_dropout
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self.seq_classif_dropout = seq_classif_dropout
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super().__init__(**kwargs, pad_token_id=pad_token_id)
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