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Distilbert Base Finetuned Chinanews Chinese
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Distilbert Base Finetuned Chinanews Chinese

Developed by WangA
A classification model based on the DistilBERT architecture, fine-tuned using the TextAttack framework, achieving 90.04% accuracy on the evaluation set.
Text Classification
Transformers
 ChineseOpen Source License:Apache-2.0#Text Classification#High Accuracy#Short Text Processing
Downloads 549
Release Time : 3/1/2024

Model Overview

This model is a text classification model obtained by fine-tuning DistilBERT using the TextAttack framework, primarily used for Chinese text classification tasks.

Model Features

Efficient Fine-tuning
Efficient fine-tuning using the TextAttack framework, achieving good performance in just 3 epochs.
Lightweight Architecture
Based on the DistilBERT architecture, reducing model size while maintaining performance.
High Accuracy
Achieves 90.04% classification accuracy on the evaluation set.

Model Capabilities

Chinese Text Classification
Text Feature Extraction

Use Cases

Text Analysis
Sentiment Analysis
Classifies sentiment tendencies in Chinese text.
Accuracy reaches 90.04%.
Topic Classification
Classifies topics in Chinese documents.
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