hezar.models.mask_filling.roberta.roberta_mask_filling_config module

class hezar.models.mask_filling.roberta.roberta_mask_filling_config.RobertaMaskFillingConfig(task: str = <TaskType.MASK_FILLING: 'mask_filling'>, attention_probs_dropout_prob: float = 0.1, bos_token_id: int = 0, eos_token_id: int = 2, gradient_checkpointing: bool = False, hidden_act: str = 'gelu', hidden_dropout_prob: float = 0.1, hidden_size: int = 768, initializer_range: int = 0.02, intermediate_size: int = 3072, layer_norm_eps: float = 1e-12, max_position_embeddings: int = 514, num_attention_heads: int = 12, num_hidden_layers: int = 12, pad_token_id: int = 1, position_embedding_type: str = 'absolute', type_vocab_size: int = 1, use_cache: bool = True, vocab_size: int = 42000)

Bases: ModelConfig

attention_probs_dropout_prob: float = 0.1

bos_token_id: int = 0

eos_token_id: int = 2

gradient_checkpointing: bool = False

hidden_act: str = 'gelu'

hidden_dropout_prob: float = 0.1

hidden_size: int = 768

initializer_range: int = 0.02

intermediate_size: int = 3072

layer_norm_eps: float = 1e-12

max_position_embeddings: int = 514

name: str = 'roberta_mask_filling'

num_attention_heads: int = 12

num_hidden_layers: int = 12

pad_token_id: int = 1

position_embedding_type: str = 'absolute'

task: str = 'mask_filling'

type_vocab_size: int = 1

use_cache: bool = True

vocab_size: int = 42000