README.md

metadata

base_model: dbmdz/bert-base-turkish-uncased
language:
  - tr
library_name: transformers

• 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

Epoch	Train Loss	Validation Loss	accuracy	val_accuracy
0	0.739859	0.507217	0.766797	0.828693
1	0.413323	0.474160	0.865625	0.843466