Dict-BERT-F表示只在微调时引入定义 Dict-BERT-P表示只在训练阶段引入定义 Dict-BERT-PF表示同时在训练和微调阶段引入定义 Dict-BERT w/o MIM表示不做互信息最大化的预训练任务 Dict-BERT w/o DD表示不做Sentence-level Definition Discrimination预训练任务 其中Domain-Adaptive Pretraining (DAPT) 是指语言模型在...
paper地址:https://aclanthology.org/2022.findings-acl.150.pdf 模型 Dict-BERT为了解决BERT模型对语料中低频词(rare words)的不敏感性,通过在预训练中加入低频词词典&对应低频词定义来增强训练语言模型,并且引入了针对低频词的词语级别和句子级别的两个特殊任务。 如上图所示: Task1(MLM):原始预训练语言模型任务...
在预训练阶段,提出来两种新的预训练任务来训练DictBert模型,通过掩码语言模型任务和对比学习任务将字典知识注入到DictBert模型中,其中,掩码语言模型任务为字典中词条预测任务(Dictionary Entry Prediction);对比学习任务为字典中词条描述判断任务(...
DICT-BERT: Enhancing Language Model Pre-Training with Dictionary DICT-BERT: Enhancing Language Model Pre-Training with Dictionary Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang ACL 2022|May 2022 下载BibTex...
evaluate the proposed Dict-BERT model on the language understanding benchmark GLUE and eight specialized domain benchmark datasets. Extensive experiments demonstrate that Dict-BERT can significantly improve the understanding of rare words and boost model performance on various NLP down...
def remap_state_dict(state_dict, config): def remap_state_dict(state_dict, config: PretrainedConfig): """ Map the state_dict of a Huggingface BERT model to be flash_attn compatible. """ # LayerNorm def key_mapping_ln_gamma_beta(key): key = re.sub(r"LayerNorm.gamma$", "LayerNorm...
master CLUEPretrainedModels/bert_dict.py / Jump to Go to file 178 lines (144 sloc) 7.22 KB Raw Blame # coding=utf8 import codecs import sys import re from nstools.zhtools.langconv import * import emoji emoji_regex = emoji.get_emoji_regexp() human_list = ['▲top', '▲topoct',...
当你遇到 RuntimeError: Error(s) in loading state_dict for BertModel: size mismatch 错误时,这通常意味着你尝试加载的预训练模型状态字典(state_dict)与你当前模型的结构不匹配。以下是对该问题的详细分析和解决方案: 1. 错误含义 这个错误表明你正在尝试将一个预训练模型的权重加载到一个结构不同的模型中。
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需要注意的是torch.nn.Module模块中的state_dict只包含卷积层和全连接层的参数,当网络中存在batchnorm...