# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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""" RoBERTa configuration """
from .configuration_bert import BertConfig
from .utils import logging
logger = logging.get_logger(__name__)
ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP = {
"roberta-base": "https://s3.amazonaws.com/models.huggingface.co/bert/roberta-base-config.json",
"roberta-large": "https://s3.amazonaws.com/models.huggingface.co/bert/roberta-large-config.json",
"roberta-large-mnli": "https://s3.amazonaws.com/models.huggingface.co/bert/roberta-large-mnli-config.json",
"distilroberta-base": "https://s3.amazonaws.com/models.huggingface.co/bert/distilroberta-base-config.json",
"roberta-base-openai-detector": "https://s3.amazonaws.com/models.huggingface.co/bert/roberta-base-openai-detector-config.json",
"roberta-large-openai-detector": "https://s3.amazonaws.com/models.huggingface.co/bert/roberta-large-openai-detector-config.json",
}
[docs]class RobertaConfig(BertConfig):
r"""
This is the configuration class to store the configuration of a :class:`~transformers.RobertaModel`.
It is used to instantiate an RoBERTa model according to the specified arguments, defining the model
architecture. Instantiating a configuration with the defaults will yield a similar configuration to that of
the BERT `bert-base-uncased <https://huggingface.co/bert-base-uncased>`__ architecture.
Configuration objects inherit from :class:`~transformers.PretrainedConfig` and can be used
to control the model outputs. Read the documentation from :class:`~transformers.PretrainedConfig`
for more information.
The :class:`~transformers.RobertaConfig` class directly inherits :class:`~transformers.BertConfig`.
It reuses the same defaults. Please check the parent class for more information.
Example::
>>> from transformers import RobertaConfig, RobertaModel
>>> # Initializing a RoBERTa configuration
>>> configuration = RobertaConfig()
>>> # Initializing a model from the configuration
>>> model = RobertaModel(configuration)
>>> # Accessing the model configuration
>>> configuration = model.config
"""
model_type = "roberta"
def __init__(self, pad_token_id=1, bos_token_id=0, eos_token_id=2, **kwargs):
"""Constructs RobertaConfig."""
super().__init__(pad_token_id=pad_token_id, bos_token_id=bos_token_id, eos_token_id=eos_token_id, **kwargs)