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| # coding=utf-8 | |
| # Copyright 2020 The Fairseq Authors and The HuggingFace Inc. team. | |
| # | |
| # 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, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| """ BART configuration """ | |
| import logging | |
| from .configuration_utils import PretrainedConfig | |
| logger = logging.getLogger(__name__) | |
| BART_PRETRAINED_CONFIG_ARCHIVE_MAP = { | |
| "bart-large": "https://s3.amazonaws.com/models.huggingface.co/bert/facebook/bart-large/config.json", | |
| "bart-large-mnli": "https://s3.amazonaws.com/models.huggingface.co/bert/facebook/bart-large-mnli/config.json", | |
| "bart-large-cnn": "https://s3.amazonaws.com/models.huggingface.co/bert/facebook/bart-large-cnn/config.json", | |
| } | |
| class BartConfig(PretrainedConfig): | |
| r""" | |
| Configuration class for Bart. Parameters are renamed from the fairseq implementation | |
| """ | |
| model_type = "bart" | |
| pretrained_config_archive_map = BART_PRETRAINED_CONFIG_ARCHIVE_MAP | |
| def __init__( | |
| self, | |
| activation_dropout=0.0, | |
| vocab_size=50265, | |
| pad_token_id=1, | |
| eos_token_id=2, | |
| d_model=1024, | |
| encoder_ffn_dim=4096, | |
| encoder_layers=12, | |
| encoder_attention_heads=16, | |
| decoder_ffn_dim=4096, | |
| decoder_layers=12, | |
| decoder_attention_heads=16, | |
| encoder_layerdrop=0.0, | |
| decoder_layerdrop=0.0, | |
| attention_dropout=0.0, | |
| dropout=0.1, | |
| max_position_embeddings=1024, | |
| init_std=0.02, | |
| classifier_dropout=0.0, | |
| output_past=False, | |
| num_labels=3, | |
| bos_token_id=0, | |
| **common_kwargs | |
| ): | |
| r""" | |
| :class:`~transformers.BartConfig` is the configuration class for `BartModel`. | |
| Examples: | |
| config = BartConfig.from_pretrained('bart-large') | |
| model = BartModel(config) | |
| """ | |
| super().__init__( | |
| num_labels=num_labels, | |
| output_past=output_past, | |
| pad_token_id=pad_token_id, | |
| bos_token_id=bos_token_id, | |
| **common_kwargs, | |
| ) | |
| self.vocab_size = vocab_size | |
| self.d_model = d_model # encoder_embed_dim and decoder_embed_dim | |
| self.eos_token_id = eos_token_id | |
| self.encoder_ffn_dim = encoder_ffn_dim | |
| self.encoder_layers = self.num_hidden_layers = encoder_layers | |
| self.encoder_attention_heads = encoder_attention_heads | |
| self.encoder_layerdrop = encoder_layerdrop | |
| self.decoder_layerdrop = decoder_layerdrop | |
| self.decoder_ffn_dim = decoder_ffn_dim | |
| self.decoder_layers = decoder_layers | |
| self.decoder_attention_heads = decoder_attention_heads | |
| self.max_position_embeddings = max_position_embeddings | |
| self.init_std = init_std # Normal(0, this parameter) | |
| # 3 Types of Dropout | |
| self.attention_dropout = attention_dropout | |
| self.activation_dropout = activation_dropout | |
| self.dropout = dropout | |
| # Classifier stuff | |
| self.classif_dropout = classifier_dropout | |
| def num_attention_heads(self): | |
| return self.encoder_attention_heads | |
| def hidden_size(self): | |
| return self.d_model | |