Create README.md
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README.md
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---
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datasets:
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- wikimulti
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language:
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- vi
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tags:
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- news classification
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widget:
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- 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."
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example_title: "Culture, sociology, and psychology"
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- text: "Những người bị bệnh gan như cấp tính, mạn tính, xơ gan, viêm gan tuyệt đối không nên ăn gừng. "
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example_title: "Biology and medicine"
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---
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# BERT-base for news genre classification
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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.
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<b>Labels</b>:
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0-> Agriculture, food, and drink
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1-> Albums
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2-> Architecture
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3-> Art
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4-> Biology and medicine
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5-> Chemistry and materials science
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6-> Classical compositions
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7-> Computing and engineering
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8-> Earth science
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9-> Film
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10-> Geography
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11-> Language and literature
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12-> Mathematics and mathematicians
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13-> Media and drama
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14-> Other music articles
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15-> Philosophy
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16-> Physics and astronomy
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17-> Places
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18-> Religion
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19-> Royalty, nobility, and heraldry
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20-> Songs
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21-> Television
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22-> Transport
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23-> World history
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24->Armies and military units
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25->Baseball
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26->Basketball
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27->Battles, exercises, and conflicts
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28->Culture, sociology, and psychology
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29->Economics and business
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30->Education
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31->Football
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32->Hockey
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33->Law
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34->Magazines and print journalism
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35->Military aircraft
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36->Military decorations and memorials
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37->Military people
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38->Motorsport
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39->Multi-sport event
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40->Other sports
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41->Politics and government
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42->Pro wrestling
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43->Recreation
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44->Video games
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45->Warships and naval units
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46->Weapons, equipment, and buildings
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