bert-based-chinese实现多分类的微调代码 由于每个任务的数据集和模型结构可能不同,因此实现多分类的微调代码有很多种方法。这里给出一种通用的BERT模型微调多分类的代码实现,供参考。 首先,导入需要使用的库: python import torch from torch.utils.data import Dataset, DataLoader from transformers import Bert...
To overcome the data imbalance problem in the\ndistribution of emergency event categories, a novel loss function is proposed\nto improve the performance of the BERT-based model. Meanwhile, to avoid the\nimpact of the extreme learning rate, the Adabound optimization algorithm that\nachieves a ...
Bert-ChineseNER Introduction 该项目是基于谷歌开源的BERT预训练模型,在中文NER任务上进行fine-tune。 Datasets & Model 训练本模型的主要标记数据,来自于zjy-usas的ChineseNER项目。本项目在原本的BiLSTM+CRF的框架前,添加了BERT模型作为embedding的特征获取层,预训练的中文BERT模型及代码来自于Google Research的bert。
Repository files navigation README SpamClassifier Dataset Chinese Spam Email dataset:https://plg.uwaterloo.ca/~gvcormac/treccorpus06/ Model BERT pretain model: https://huggingface.co/bert-base-chinese About Chinese Spam Email Classification based on TREC06C Chinese Dataset and BERT Model Resources ...
the corresponding entities are extracted by sequence labeling with CRF.The method combines the BERT and BiLSTM-CRF models for Chinese entity recognition,and has obtained the F1 value of 94.86% on the People's Daily data set in the first half of 1998 without adding any features.Experiments show...
ChineseTextClassificationBasedonBert.zip残雪**雪寒 上传2.39 MB 文件格式 zip bert-chinese classification pytorch 基于Bert实现中文文本二分类 点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 vertx-demo 2025-01-22 10:48:15 积分:1 fis3 2025-01-22 10:47:40 积分:1 ...
especially data on Chinese clinical records. To tackle the Chinese CNER task, we pre-train BERT model on the unlabeled Chinese clinical records, which can leverage the unlabeled domain-specific knowledge. Different layers such as Long Short-Term Memory (LSTM) and Conditional Random Field (CRF) ar...
Extensive experiments on two public datasets demonstrate the effectiveness of our proposed method, and our findings in the experiment provide new insights for the future development of Chinese sentiment classification. 展开 关键词: Sentiment classification Grammar rules BERT Bi-GRU ...
Figure 1. Motivation of sentiment analysis of online Chinese buzzwords. The BERT–BiLSTM model is proposed. The model does not require word separation during sentiment analysis and is able to capture deep contextual information from the word order structure. The superiority of BERT–BiLSTM is il...
ChineseNerbasedonBERT.ziptl**rt 上传3.54 MB 文件格式 zip 对BERT模型进行fine-tuning后,在chinese_L-12_H-768_A-12模型基础上进行训练,并以MSRA作为数据集测试 点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 continue_downloader 2025-01-11 17:10:06 积分:1 ...