hezar.models.text_classification.distilbert.distilbert_text_classification_config module¶
- class hezar.models.text_classification.distilbert.distilbert_text_classification_config.DistilBertTextClassificationConfig(task: str = <TaskType.TEXT_CLASSIFICATION: 'text_classification'>, num_labels: int = None, id2label: dict = None, activation: str = 'gelu', attention_dropout: float = 0.1, dim: int = 768, dropout: float = 0.1, hidden_dim: int = 3072, initializer_range: float = 0.02, max_position_embeddings: int = 512, n_heads: int = 12, n_layers: int = 6, output_past: bool = True, pad_token_id: int = 0, qa_dropout: float = 0.1, seq_classif_dropout: float = 0.2, tie_weights_: bool = True, vocab_size: int = 42000)[source]¶
Bases:
ModelConfig
- activation: str = 'gelu'¶
- attention_dropout: float = 0.1¶
- dim: int = 768¶
- dropout: float = 0.1¶
- id2label: dict = None¶
- initializer_range: float = 0.02¶
- max_position_embeddings: int = 512¶
- n_heads: int = 12¶
- n_layers: int = 6¶
- name: str = 'distilbert_text_classification'¶
- num_labels: int = None¶
- output_past: bool = True¶
- pad_token_id: int = 0¶
- qa_dropout: float = 0.1¶
- seq_classif_dropout: float = 0.2¶
- task: str = 'text_classification'¶
- tie_weights_: bool = True¶
- vocab_size: int = 42000¶