PTBR-GPT4-o-NewsClassifier Open-source News Classification Model - Free and Accurate News Classification with High Precision

PTBR GPT4 O NewsClassifier

Developed by gui8600k

Model fine-tuned based on bert-base-multilingual-cased, achieving 99.93% accuracy on the evaluation set

Downloads 25

Release Time : 1/29/2025

Model Overview

This model is a fine-tuned version based on bert-base-multilingual-cased, suitable for multilingual text processing tasks.

High Accuracy

Achieves 99.93% accuracy on the evaluation set

Multilingual Support

Based on bert-base-multilingual-cased, supports 104 languages

Efficient Fine-tuning

Uses AdamW optimizer and linear learning rate scheduler for efficient training

Multilingual text processing

Text classification

Natural language understanding

Text classification

Multilingual text classification

Performs classification tasks on multilingual texts

99.93% accuracy

Natural language processing

Multilingual NLP applications

Can be used to build NLP applications supporting multiple languages

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0049	0.8881	500	0.0082	0.9987
0.0056	1.7762	1000	0.0226	0.9973
0.0062	2.6643	1500	0.0003	1.0
0.0031	3.5524	2000	0.0009	0.9993
0.0006	4.4405	2500	0.0019	0.9993

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