bztxb/shiluBERT

明实录与清实录多标签分类推理模型

本模型用于对《明实录》和《清实录》文本进行多标签分类推理。基于Jihuai/bert-ancient-chinese进行任务微调，利用公开语料进行预训练，得到适合实录类型的预训练模型shiluBERT。

中文说明

模型与数据来源

• 训练数据来源：《朝鲜王朝实录》；
• 任务类型：多标签文本分类；
• 训练样本数：约27万。

评估指标

指标	数值
Sample F1	0.7227
Sample Precision	0.7554
Sample Recall	0.7281
LRAP	0.8070
Hamming Loss	0.0069

示例使用方法

• 在线体验 Space： bztxb/shiluInfer

English Version

This model performs multi-label classification inference on texts of VERITABLE RECORDS of the Ming/Qing DYNASTY. It is fine-tuned from Jihuai/bert-ancient-chinese, and further benefits from pretraining on public corpora to obtain a Shilu-oriented pretrained model, shiluBERT.

Model and Data Sources

• Training data source: VERITABLE RECORDS of the JOSEON DYNASTY.
• Task type: multi-label text classification.
• Number of training samples: approximately 0.27 million.

Evaluation Metrics

Metric	Value
Sample F1	0.7227
Sample Precision	0.7554
Sample Recall	0.7281
LRAP	0.8070
Hamming Loss	0.0069

Example Usage

• Try the online Space: bztxb/shiluInfer