Metadata-cls_15_10 Open-source Text Classification Model - Ultra-high Accuracy and F1 Score for Precise Classification

Metadata Cls 15 10

Developed by gechim

This model is a text classification model fine-tuned on an unknown dataset based on PhoBERT-base-v2. It achieved an accuracy of 99.67% and an F1 score of 99.32% on the evaluation set.

Text Classification

Transformers

#High-precision text classification #Vietnamese NLP #Fine-tuning PhoBERT

Downloads 1,910

Release Time : 10/15/2024

Model Overview

A high-performance Vietnamese text classification model suitable for various text classification tasks.

Model Features

High accuracy

Achieved an accuracy of 99.67% on the evaluation set

Excellent F1 score

Achieved an F1 score of 99.32% on the evaluation set

Based on PhoBERT

Fine-tuned based on the Vietnamese pre-trained model PhoBERT-base-v2, with excellent understanding ability for Vietnamese text

Model Capabilities

Vietnamese text classification

High-precision text classification

Use Cases

Text classification

Sentiment analysis

Classify the sentiment tendency of Vietnamese text

Accuracy 99.67%

Topic classification

Classify the topic of Vietnamese text

F1 score 99.32%

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5273	1.0067	150	0.2313	0.9384	0.8468
0.2312	2.0134	300	0.1456	0.9581	0.9182
0.1542	3.0201	450	0.0944	0.9747	0.9471
0.1199	4.0268	600	0.0747	0.9810	0.9600
0.0943	5.0336	750	0.0640	0.9827	0.9608
0.0837	6.0403	900	0.0458	0.9894	0.9748
0.0645	7.0470	1050	0.0435	0.9894	0.9767
0.0509	8.0537	1200	0.0313	0.9925	0.9819
0.043	9.0604	1350	0.0242	0.9944	0.9859
0.0345	10.0671	1500	0.0196	0.9954	0.9904
0.03	11.0738	1650	0.0179	0.9956	0.9913
0.0231	12.0805	1800	0.0162	0.9958	0.9914
0.0227	13.0872	1950	0.0137	0.9966	0.9930
0.0181	14.0940	2100	0.0128	0.9967	0.9932

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Metadata Cls 15 10

Model Overview

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🚀 metadata-cls_15_10

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