GISchat-weibo-100k-fine-tuned-bert Open-source Model - Achieving Chinese Text Classification and Sentiment Analysis

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Gischat Weibo 100k Fine Tuned Bert

Developed by wsqstar

A Chinese text classification model fine-tuned on the Weibo 100k sentiment analysis dataset based on bert-base-chinese

Text Classification

Transformers

Chinese#Weibo Sentiment Analysis #High Accuracy (98.67%)#Chinese Text Classification

Downloads 117

Release Time : 4/25/2025

Model Overview

This BERT model is optimized for Chinese Weibo text sentiment analysis tasks, achieving a validation accuracy of 98.67% after fine-tuning on the Weibo 100k dataset

Model Features

High Accuracy

Achieves 98.67% validation accuracy on Weibo sentiment analysis tasks

Chinese Optimization

Optimized for Chinese text based on bert-base-chinese

Lightweight

Uses BERT-base architecture, suitable for most application scenarios

Model Capabilities

Chinese Text Classification

Sentiment Analysis

Weibo Content Analysis

Use Cases

Social Media Analysis

Weibo Sentiment Analysis

Analyze the sentiment tendency of content posted by Weibo users

98.67% accuracy

Public Opinion Monitoring

Public Sentiment Monitoring

Monitor public emotional reactions to specific topics or events

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.08	100	0.6573	0.606
0.647	0.16	200	0.2447	0.9507
0.647	0.24	300	0.0914	0.9807
0.1276	0.32	400	0.0609	0.9843
0.1276	0.4	500	0.0607	0.9843
0.0921	0.48	600	0.1053	0.98
0.0921	0.56	700	0.0487	0.9853
0.0885	0.64	800	0.0523	0.9853
0.0885	0.72	900	0.0484	0.986
0.0579	0.8	1000	0.0549	0.985
0.0579	0.88	1100	0.0495	0.9867
0.0507	0.96	1200	0.0458	0.9867

Property	Details
Base Model	bert-base-chinese
Metrics	accuracy
Tags	generated_from_trainer
Datasets	dirtycomputer/weibo_senti_100k
Language	zh

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Gischat Weibo 100k Fine Tuned Bert

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 GISchat-weibo-100k-fine-tuned-bert

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🔧 Technical Details

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