bert-base-chinese-ws-finetuned-ner_all Open Source Model - Empowering Precise Chinese Named Entity Recognition

Bert Base Chinese Ws Finetuned Ner All

Developed by HYM

This model is a fine-tuned version of ckiplab/bert-base-chinese-ws for Chinese Named Entity Recognition (NER) tasks, demonstrating outstanding performance on evaluation datasets.

Sequence Labeling

Transformers

Open Source License:Gpl-3.0 #Chinese Named Entity Recognition #High-precision NER #BERT Fine-tuning

Downloads 41

Release Time : 8/24/2022

Model Overview

A BERT model optimized for Chinese Named Entity Recognition tasks, excelling in metrics such as precision, recall, and F1 score.

Model Features

High-precision Chinese NER

Achieves 97.23% precision and 97.34% recall on evaluation datasets.

Optimized based on BERT-base

Fine-tuned from the ckiplab/bert-base-chinese-ws model, inheriting BERT's powerful language understanding capabilities.

Comprehensive evaluation metrics

Provides multi-dimensional evaluation results including precision, recall, F1 score, and accuracy.

Model Capabilities

Chinese Named Entity Recognition

Text Sequence Labeling

Entity Extraction

Use Cases

Information Extraction

News Entity Recognition

Identify entities such as person names, locations, and organization names from news texts.

High-accuracy recognition of various named entities.

Medical Text Processing

Extract professional terms like diseases and medications from medical literature.

Knowledge Graph Construction

Entity Relation Extraction

Identify entities in texts as a preliminary step for knowledge graph construction.

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0648	0.29	500	0.0524	0.9586	0.9572	0.9579	0.9813
0.0509	0.59	1000	0.0460	0.9615	0.9628	0.9622	0.9832
0.0478	0.88	1500	0.0429	0.9624	0.9660	0.9642	0.9840
0.0417	1.17	2000	0.0409	0.9650	0.9680	0.9665	0.9851
0.0402	1.47	2500	0.0387	0.9662	0.9693	0.9677	0.9856
0.0378	1.76	3000	0.0359	0.9699	0.9717	0.9708	0.9869
0.0385	2.05	3500	0.0353	0.9703	0.9718	0.9710	0.9871
0.0337	2.34	4000	0.0341	0.9709	0.9731	0.9720	0.9875
0.0348	2.64	4500	0.0333	0.9721	0.9733	0.9727	0.9878
0.0346	2.93	5000	0.0331	0.9722	0.9735	0.9729	0.9879

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Bert Base Chinese Ws Finetuned Ner All

Model Overview

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🚀 bert-base-chinese-ws-finetuned-ner_all

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