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