66 lines
3.0 KiB
Python
66 lines
3.0 KiB
Python
# coding=utf-8
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# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
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# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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""" RoBERTa configuration """
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from .configuration_bert import BertConfig
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from .utils import logging
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logger = logging.get_logger(__name__)
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ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP = {
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"roberta-base": "https://s3.amazonaws.com/models.huggingface.co/bert/roberta-base-config.json",
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"roberta-large": "https://s3.amazonaws.com/models.huggingface.co/bert/roberta-large-config.json",
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"roberta-large-mnli": "https://s3.amazonaws.com/models.huggingface.co/bert/roberta-large-mnli-config.json",
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"distilroberta-base": "https://s3.amazonaws.com/models.huggingface.co/bert/distilroberta-base-config.json",
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"roberta-base-openai-detector": "https://s3.amazonaws.com/models.huggingface.co/bert/roberta-base-openai-detector-config.json",
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"roberta-large-openai-detector": "https://s3.amazonaws.com/models.huggingface.co/bert/roberta-large-openai-detector-config.json",
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}
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class RobertaConfig(BertConfig):
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r"""
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This is the configuration class to store the configuration of a :class:`~transformers.RobertaModel`.
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It is used to instantiate an RoBERTa model according to the specified arguments, defining the model
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architecture. Instantiating a configuration with the defaults will yield a similar configuration to that of
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the BERT `bert-base-uncased <https://huggingface.co/bert-base-uncased>`__ architecture.
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Configuration objects inherit from :class:`~transformers.PretrainedConfig` and can be used
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to control the model outputs. Read the documentation from :class:`~transformers.PretrainedConfig`
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for more information.
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The :class:`~transformers.RobertaConfig` class directly inherits :class:`~transformers.BertConfig`.
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It reuses the same defaults. Please check the parent class for more information.
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Example::
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>>> from transformers import RobertaConfig, RobertaModel
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>>> # Initializing a RoBERTa configuration
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>>> configuration = RobertaConfig()
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>>> # Initializing a model from the configuration
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>>> model = RobertaModel(configuration)
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>>> # Accessing the model configuration
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>>> configuration = model.config
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"""
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model_type = "roberta"
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def __init__(self, pad_token_id=1, bos_token_id=0, eos_token_id=2, **kwargs):
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"""Constructs RobertaConfig."""
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super().__init__(pad_token_id=pad_token_id, bos_token_id=bos_token_id, eos_token_id=eos_token_id, **kwargs)
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