RvKy/

bert_FineTuned_MultiClass_news

• We use the trt turkish news data which inside news context and categories belongs to one of the news.
• Using bert base turkish uncased model, aimed to label the categories to the news.
• We have 11 separate categories as below;
  ('bilim_teknoloji',
  'dunya', 'egitim',
  'ekonomi',
  'guncel',
  'gundem',
  'kultur_sanat',
  'saglik',
  'spor',
  'turkiye',
  'yasam')
• We got the validation skor and follow the metric accuracy. The model gave us successfully result.

Training results