| 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 |