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---
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 |