RoBERTaEncoderJit.Config

Component: RoBERTaEncoderJit

class RoBERTaEncoderJit.Config

Bases: RoBERTaEncoderBase.Config

All Attributes (including base classes)

load_path: Optional[str] = None

save_path: Optional[str] = None

freeze: bool = False

shared_module_key: Optional[str] = None

output_dropout: float = 0.4

embedding_dim: int = 768

pooling: PoolingMethod = <PoolingMethod.CLS_TOKEN: 'cls_token'>

export: bool = False

pretrained_encoder: Module.Config = Module.Config(load_path='manifold://pytext_training/tree/static/models/roberta_public.pt1')

Default JSON

{
    "load_path": null,
    "save_path": null,
    "freeze": false,
    "shared_module_key": null,
    "output_dropout": 0.4,
    "embedding_dim": 768,
    "pooling": "cls_token",
    "export": false,
    "pretrained_encoder": {
        "load_path": "manifold://pytext_training/tree/static/models/roberta_public.pt1",
        "save_path": null,
        "freeze": false,
        "shared_module_key": null
    }
}