---
datasets:
- wikimulti
language:
- vi
tags:
- news classification
widget:
- text: "Tuy nhiên, sự thỏa mãn lại chẳng thể kéo dài. Họ nhanh chóng rơi vào hoang mang khi nhận ra đã mất một khoản tiền lớn cho các món đồ không thực sự cần thiết, hoặc phục vụ mục đích vô nghĩa."
  example_title: "Example 1"
- text: "Những người bị bệnh gan như cấp tính, mạn tính, xơ gan, viêm gan tuyệt đối không nên ăn gừng. "
  example_title: "Example 2"
---
# BERT-base for news genre classification

This is a fine-tuned version of NlpHUST/vibert4news-base-cased model for news genre classification. The training data is 3864 vietnamese news summaries in WikiMulti dataset.

<b>Labels</b>: 

0-> Agriculture, food, and drink

1-> Albums

2-> Architecture

3-> Art

4-> Biology and medicine

5-> Chemistry and materials science

6-> Classical compositions

7-> Computing and engineering

8-> Earth science

9-> Film

10-> Geography

11-> Language and literature

12-> Mathematics and mathematicians

13-> Media and drama

14-> Other music articles

15-> Philosophy

16-> Physics and astronomy

17-> Places

18-> Religion

19-> Royalty, nobility, and heraldry

20-> Songs

21-> Television

22-> Transport

23-> World history

24->Armies and military units

25->Baseball

26->Basketball

27->Battles, exercises, and conflicts

28->Culture, sociology, and psychology

29->Economics and business

30->Education

31->Football

32->Hockey

33->Law

34->Magazines and print journalism

35->Military aircraft

36->Military decorations and memorials

37->Military people

38->Motorsport

39->Multi-sport event

40->Other sports

41->Politics and government

42->Pro wrestling

43->Recreation

44->Video games

45->Warships and naval units

46->Weapons, equipment, and buildings