readme: ---
  language:
  - tr
  tags:
  - text  # Example: audio
  - text-classification  # Example: automatic-speech-recognition
  - news-category-classification  # Example: speech
  metrics:
  - accuracy  # Example: wer. Use metric id from https://hf.co/metrics
  - f1
  - precision
  - recall
  ---
  
  ## INTERPRESS TURKISH NEWS CATEGORY CLASSIFICATION MODEL - TEST - v0.1
  
  LABELS = {
    0: 'spor',
    1: 'is_ve_finans',
    2: 'lifestyle',
    3: 'eglence',
    4: 'seyahat',
    5: 'egitim',
    6: 'bilim',
    7: 'teknoloji',
    8: 'kultur_sanat',
    9: 'otomotiv',
    10: 'politika',
    11: 'endustri',
    12: 'moda',
    13: 'yemek'
  }
  
  ACC = 0.9128, F1 = 0.7142, PRECISION = 0.7355, RECALL = 0.06996