Source code for openspeech.models.transformer_lm.configurations

# MIT License
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# Copyright (c) 2021 Soohwan Kim and Sangchun Ha and Soyoung Cho
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from dataclasses import dataclass, field

from openspeech.dataclass.configurations import OpenspeechDataclass


@dataclass
class TransformerLanguageModelConfigs(OpenspeechDataclass):
    r"""
    This is the configuration class to store the configuration of
    a :class:`~openspeech.models.TransformerLanguageModel`.

    It is used to initiated an `TransformerLanguageModel` model.

    Configuration objects inherit from :class: `~openspeech.dataclass.configs.OpenspeechDataclass`.

    Args:
        model_name (str): Model name (default: transformer_lm)
        num_layers (int): The number of lstm layers. (default: 6)
        d_model (int): The dimension of model. (default: 768)
        dropout_p (float): The dropout probability of encoder. (default: 0.3)
        d_ff (int): Dimenstion of feed forward network. (default: 2048)
        num_attention_heads (int): The number of attention heads. (default: 8)
        max_length (int): Max decoding length. (default: 128)
        optimizer (str): Optimizer for training. (default: adam)
    """
    model_name: str = field(
        default="transformer_lm", metadata={"help": "Model name"}
    )
    num_layers: int = field(
        default=6, metadata={"help": "The number of encoder layers."}
    )
    d_model: int = field(
        default=768, metadata={"help": "The dimension of model."}
    )
    d_ff: int = field(
        default=1536, metadata={"help": "The dimenstion of feed forward network."}
    )
    num_attention_heads: int = field(
        default=8, metadata={"help": "The number of attention heads."}
    )
    dropout_p: float = field(
        default=0.3, metadata={"help": "The dropout probability of encoder."}
    )
    max_length: int = field(
        default=128, metadata={"help": "Max decoding length."}
    )
    optimizer: str = field(
        default="adam", metadata={"help": "Optimizer for training."}
    )