QS-Classifier-BERT Open-Source Classification Model - Free Deployment to Solve Unknown Classification Tasks

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Qs Classifier Bert

Developed by asvs

A classification model fine-tuned based on bert-base-uncased for unknown classification tasks

Text Classification

Transformers

Open Source License:Apache-2.0 #High-precision classification #Text classification #BERT fine-tuning

Downloads 17

Release Time : 8/9/2022

Model Overview

This model is a classifier fine-tuned based on bert-base-uncased, with the specific task type not explicitly stated, possibly for text classification tasks

Model Features

High accuracy

Achieves 99.94% accuracy on the validation set

Fine-tuned based on BERT

Utilizes the powerful language understanding capabilities of bert-base-uncased for fine-tuning

Lightweight training

Achieves high performance with only 1 training epoch

Model Capabilities

Text classification

Natural language understanding

Use Cases

Text analysis

Q&A system classification

May be used for question classification in Q&A systems

High-accuracy classification (99.94%)

Sentiment analysis

Can be used for text sentiment polarity classification

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	447	0.0023	0.9994

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Qs Classifier Bert

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 qs-classifier-bert

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