构建GPT2ForSummarization模型,注意***shift right***的操作。 frommindsporeimportopsfrommindnlp.transformersimportGPT2LMHeadModelclassGPT2ForSummarization(GPT2LMHeadModel):defconstruct(self,input_ids=None,attention_mask=None,labels=None,):outputs=super().construct(input_ids=input_ids,attention_mask=attent...
InSample Efficient Text Summarization Using a Single Pre-Trained Transformer, a decoder-only transformer is first pre-trained on language modeling, then finetuned to do summarization. It turns out to achieve better results than a pre-trained encoder-decoder transformer in limited data settings. 在...
在论文「Sample Efficient TextSummarization Using a Single Pre-Trained Transformer」中,仅含解码器的transformer是第一个在语言模型上进行预训练的,然后才完成的概述任务。结果证明在遇到有限的数据集时,它比预训练的仅含编码器-解码器transformer效果要好。 GPT2的论文也展示了在语言模型中预训练后的模型的概括结果。
所以，GPT2.0找了800万互联网网页作为语言模型的训练数据，它们被称为WebText。当然，光量大还不够，...
model called GPT-2 that generates realistic paragraphs of text, while also exhibiting zero shot generalization on tasks like machine translation, question answering, reading comprehension, and summarization - problems usually approached by using training datasets and models designed explicitly for these ...
In today’s world, with so much information available online, it’s critical to have a method in place for efficiently and rapidly extracting that information. One important NLP activity is text summarizing, which tries to distill lengthy materials into succinct summaries while mainta...
3.6. Summarization 我们测试了GPT-2在CNN和每日邮件数据集上执行摘要的能力(Nallapati等,2016)。为了引出摘要行为,我们添加文本TL; DR:在文章之后并用k = 2生成具有Top-k随机采样(Fan等,2018)的100个令牌,其减少重复并且鼓励比贪婪解码更抽象的摘要。我们使用这100个令牌中的前3个生成句子作为摘要。虽然在质量上...
This observation is consistent with its effectiveness in text summarization across a range of assessment parameters. The larger picture, however, shows that despite Transformer models' enormous promise in this field, difficulties still exist. Factual correctness, thoroughness, and flow in produced ...
nlp text-generation torch transformer chinese news-summarization gpt2 Updated Mar 8, 2022 Python graykode / gpt-2-Pytorch Star 979 Code Issues Pull requests Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation nlp natural-language-processing pytorch implementation text-generator story-...
Reading Comprehension 3.6 Summarization Discussion Summary In summary, this article presents a study on how language models can learn natural language processing tasks without explicit supervision by training on a large corpus of text data called WebText using unsupervised learning techniques such as ...