BERT Fine-Tuning Dataset
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/tian231825/Conversational_AI_Bot/tree/master/project/BERT/model_data
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资源简介：
该数据集旨在对预训练的谷歌BERT模型进行微调和验证，分为训练集、验证集和测试集，比例分别为8:1:1。此外，该数据集在用户意图识别任务上，使用1975条有效语料进行微调后，BERT模型取得了89.5%的准确率。
This dataset is designed for fine-tuning and validating the pre-trained Google BERT model. It is divided into training, validation and test sets with a ratio of 8:1:1 respectively. Furthermore, after fine-tuning the BERT model on 1975 valid corpora from this dataset for the user intent recognition task, the model achieved an accuracy of 89.5%.
提供机构：
GitHub Repository
