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--- |
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library_name: transformers |
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language: |
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- ar |
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license: apache-2.0 |
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base_model: openai/whisper-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper base AR - BA |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper base AR - BA |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the quran-ayat-speech-to-text dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0847 |
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- Wer: 0.1936 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 30 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-------:|:-----:|:---------------:|:------:| |
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| 2.1291 | 0.5858 | 1000 | 0.0912 | 0.1978 | |
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| 1.7057 | 1.1716 | 2000 | 0.0912 | 0.2003 | |
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| 1.7162 | 1.7575 | 3000 | 0.0912 | 0.2060 | |
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| 1.4996 | 2.3433 | 4000 | 0.0901 | 0.2047 | |
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| 1.3942 | 2.9291 | 5000 | 0.0883 | 0.1951 | |
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| 1.2285 | 3.5149 | 6000 | 0.0876 | 0.1957 | |
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| 1.0637 | 4.1008 | 7000 | 0.0873 | 0.1920 | |
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| 1.1144 | 4.6866 | 8000 | 0.0865 | 0.1927 | |
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| 1.0164 | 5.2724 | 9000 | 0.0858 | 0.1923 | |
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| 0.9812 | 5.8582 | 10000 | 0.0856 | 0.1941 | |
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| 0.8927 | 6.4441 | 11000 | 0.0849 | 0.2017 | |
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| 0.8936 | 7.0299 | 12000 | 0.0844 | 0.1961 | |
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| 0.8718 | 7.6157 | 13000 | 0.0854 | 0.1979 | |
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| 0.9019 | 8.2015 | 14000 | 0.0847 | 0.1854 | |
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| 0.8293 | 8.7873 | 15000 | 0.0847 | 0.1983 | |
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| 0.8363 | 9.3732 | 16000 | 0.0842 | 0.1982 | |
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| 0.8034 | 9.9590 | 17000 | 0.0840 | 0.1975 | |
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| 0.8462 | 10.5448 | 18000 | 0.0855 | 0.1953 | |
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| 0.8824 | 11.1306 | 19000 | 0.0848 | 0.1930 | |
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| 0.8591 | 11.7165 | 20000 | 0.0849 | 0.1838 | |
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| 0.8339 | 12.3023 | 21000 | 0.0842 | 0.1863 | |
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| 0.8573 | 12.8881 | 22000 | 0.0836 | 0.1926 | |
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| 0.7445 | 13.4739 | 23000 | 0.0839 | 0.1842 | |
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| 0.783 | 14.0598 | 24000 | 0.0836 | 0.1842 | |
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| 0.7263 | 14.6456 | 25000 | 0.0839 | 0.1824 | |
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| 0.7634 | 15.2314 | 26000 | 0.0835 | 0.1826 | |
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| 0.7379 | 15.8172 | 27000 | 0.0834 | 0.1829 | |
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| 0.7902 | 16.4030 | 28000 | 0.0842 | 0.1811 | |
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| 0.8261 | 16.9889 | 29000 | 0.0841 | 0.1849 | |
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| 0.7531 | 17.5747 | 30000 | 0.0840 | 0.1867 | |
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| 0.7166 | 18.1605 | 31000 | 0.0839 | 0.1905 | |
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| 0.7976 | 18.7463 | 32000 | 0.0841 | 0.1838 | |
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| 0.7008 | 19.3322 | 33000 | 0.0835 | 0.1864 | |
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| 0.707 | 19.9180 | 34000 | 0.0833 | 0.1872 | |
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| 0.6865 | 20.5038 | 35000 | 0.0835 | 0.1844 | |
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| 0.6927 | 21.0896 | 36000 | 0.0834 | 0.1882 | |
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| 0.7014 | 21.6755 | 37000 | 0.0835 | 0.1861 | |
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| 0.6951 | 22.2613 | 38000 | 0.0833 | 0.1874 | |
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| 0.6848 | 22.8471 | 39000 | 0.0834 | 0.1927 | |
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| 0.7096 | 23.4329 | 40000 | 0.0834 | 0.1936 | |
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| 0.6952 | 24.0187 | 41000 | 0.0835 | 0.1933 | |
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| 0.692 | 24.6046 | 42000 | 0.0833 | 0.1930 | |
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| 0.6552 | 25.1904 | 43000 | 0.0831 | 0.1867 | |
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| 0.6641 | 25.7762 | 44000 | 0.0832 | 0.1874 | |
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| 0.6921 | 26.3620 | 45000 | 0.0833 | 0.1880 | |
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| 0.6894 | 26.9479 | 46000 | 0.0832 | 0.1855 | |
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| 0.7041 | 27.5337 | 47000 | 0.0827 | 0.1855 | |
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| 0.6452 | 28.1195 | 48000 | 0.0830 | 0.1882 | |
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| 0.6682 | 28.7053 | 49000 | 0.0828 | 0.1863 | |
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| 0.6357 | 29.2912 | 50000 | 0.0829 | 0.1877 | |
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| 0.6645 | 29.8770 | 51000 | 0.0831 | 0.1898 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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