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aad0df8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | from __future__ import annotations
from transformers import BertConfig, BertForSequenceClassification
def build_model(
vocab_size: int,
pad_token_id: int,
) -> BertForSequenceClassification:
config = BertConfig(
vocab_size=vocab_size,
hidden_size=64,
num_hidden_layers=2,
num_attention_heads=2,
intermediate_size=160,
hidden_act="gelu",
hidden_dropout_prob=0.08,
attention_probs_dropout_prob=0.05,
max_position_embeddings=96,
type_vocab_size=1,
pad_token_id=pad_token_id,
num_labels=2,
id2label={0: "ROUTINE", 1: "HAZARDOUS"},
label2id={"ROUTINE": 0, "HAZARDOUS": 1},
)
return BertForSequenceClassification(config)
def parameter_count(model) -> int:
return sum(parameter.numel() for parameter in model.parameters())
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