Bert-base-uncased-dbpedia_14 Open-source Text Classification Model - Free Deployment, with a Classification Accuracy of Up to 99.03%

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Bert Base Uncased Dbpedia 14

Developed by fabriceyhc

A text classification model fine-tuned on the dbpedia_14 dataset based on bert-base-uncased, achieving 99.03% accuracy

Text Classification

Transformers

Open Source License:Apache-2.0 #High-precision text classification #DBpedia knowledge base #BERT fine-tuning

Downloads 44

Release Time : 3/2/2022

Model Overview

This model is a BERT-based text classification model specifically designed for classifying 14 categories in DBpedia.

Model Features

High accuracy

Achieves 99.03% classification accuracy on the DBpedia 14 dataset

BERT-based

Utilizes BERT's powerful language understanding capabilities for text classification

Domain adaptation

Specifically optimized for DBpedia encyclopedia data

Model Capabilities

Text classification

Natural language understanding

Encyclopedia content classification

Use Cases

Knowledge management

Encyclopedia content classification

Automatically categorizes encyclopedia entries

Accuracy reaches 99.03%

Information retrieval

Document classification

Automatically classifies large volumes of documents

Property	Details
Model Type	Fine - tuned version of bert - base - uncased
Training Data	dbpedia_14
Metrics	Accuracy: 0.9902857142857143

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.7757	0.03	2000	0.2732	0.9880
0.1002	0.06	4000	0.0620	0.9891
0.0547	0.09	6000	0.0723	0.9879
0.0558	0.12	8000	0.0678	0.9875
0.0534	0.14	10000	0.0554	0.9896
0.0632	0.17	12000	0.0670	0.9888
0.0612	0.2	14000	0.0733	0.9873
0.0667	0.23	16000	0.0623	0.9896
0.0636	0.26	18000	0.0836	0.9868
0.0705	0.29	20000	0.0776	0.9855
0.0726	0.32	22000	0.0805	0.9861
0.0778	0.35	24000	0.0713	0.9870
0.0713	0.38	26000	0.1277	0.9805
0.0965	0.4	28000	0.0810	0.9855
0.0881	0.43	30000	0.0910	0.985

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Bert Base Uncased Dbpedia 14

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 bert-base-uncased-dbpedia_14

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Model Information

Training Procedure

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Training results

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