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"""MagicBERT configuration for HuggingFace transformers."""
from transformers import PretrainedConfig
class MagicBERTConfig(PretrainedConfig):
"""Configuration class for MagicBERT model.
MagicBERT is a BERT-style transformer model designed for binary file
type classification. It uses a byte-level BPE tokenizer with a 32K vocabulary.
"""
model_type = "magic-bert"
def __init__(
self,
vocab_size: int = 32768,
hidden_size: int = 512,
num_hidden_layers: int = 8,
num_attention_heads: int = 8,
intermediate_size: int = 2048,
hidden_dropout_prob: float = 0.1,
attention_probs_dropout_prob: float = 0.1,
max_position_embeddings: int = 512,
pad_token_id: int = 2,
hidden_act: str = "gelu",
layer_norm_eps: float = 1e-12,
**kwargs,
):
super().__init__(pad_token_id=pad_token_id, **kwargs)
self.vocab_size = vocab_size
self.hidden_size = hidden_size
self.num_hidden_layers = num_hidden_layers
self.num_attention_heads = num_attention_heads
self.intermediate_size = intermediate_size
self.hidden_dropout_prob = hidden_dropout_prob
self.attention_probs_dropout_prob = attention_probs_dropout_prob
self.max_position_embeddings = max_position_embeddings
self.hidden_act = hidden_act
self.layer_norm_eps = layer_norm_eps
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