---
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