Baselhany commited on
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README.md CHANGED
@@ -1,27 +1,25 @@
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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: 0.0875
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- - Wer: 0.1939
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  ## Model description
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@@ -56,21 +54,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:------:|
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- | 1.9262 | 1.0 | 469 | 0.0907 | 0.1917 |
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- | 1.8739 | 2.0 | 938 | 0.0907 | 0.1874 |
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- | 1.4395 | 3.0 | 1407 | 0.0898 | 0.1991 |
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- | 1.3835 | 4.0 | 1876 | 0.0880 | 0.2003 |
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- | 1.1837 | 5.0 | 2345 | 0.0884 | 0.2065 |
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- | 1.0963 | 6.0 | 2814 | 0.0870 | 0.2020 |
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- | 1.0446 | 7.0 | 3283 | 0.0877 | 0.1967 |
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- | 0.8945 | 8.0 | 3752 | 0.0867 | 0.1895 |
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- | 0.8261 | 9.0 | 4221 | 0.0858 | 0.1986 |
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- | 0.7863 | 10.0 | 4690 | 0.0849 | 0.1889 |
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- | 0.7641 | 11.0 | 5159 | 0.0854 | 0.1932 |
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- | 0.6898 | 12.0 | 5628 | 0.0853 | 0.1910 |
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- | 0.6968 | 13.0 | 6097 | 0.0845 | 0.1914 |
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- | 0.6905 | 14.0 | 6566 | 0.0846 | 0.1914 |
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- | 0.6316 | 14.9685 | 7020 | 0.0846 | 0.1858 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
 
 
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  license: apache-2.0
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+ base_model: Baselhany/Graduation_Project_Distilation_Whisper_base3
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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: Graduation_Project_Distilation_Whisper_base3
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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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+ # Graduation_Project_Distilation_Whisper_base3
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+ This model is a fine-tuned version of [Baselhany/Graduation_Project_Distilation_Whisper_base3](https://huggingface.co/Baselhany/Graduation_Project_Distilation_Whisper_base3) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0867
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+ - Wer: 0.1925
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:------:|
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+ | 1.7381 | 1.0 | 469 | 0.0864 | 0.1945 |
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+ | 1.6182 | 2.0 | 938 | 0.0902 | 0.2013 |
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+ | 1.2194 | 3.0 | 1407 | 0.0893 | 0.1911 |
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+ | 1.0951 | 4.0 | 1876 | 0.0881 | 0.2001 |
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+ | 1.0233 | 5.0 | 2345 | 0.0867 | 0.1979 |
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+ | 0.9062 | 6.0 | 2814 | 0.0864 | 0.1995 |
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+ | 0.8866 | 7.0 | 3283 | 0.0852 | 0.1992 |
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+ | 0.8074 | 8.0 | 3752 | 0.0858 | 0.1922 |
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+ | 0.7585 | 9.0 | 4221 | 0.0853 | 0.1882 |
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+ | 0.6978 | 10.0 | 4690 | 0.0849 | 0.1911 |
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+ | 0.6625 | 11.0 | 5159 | 0.0845 | 0.1901 |
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+ | 0.6375 | 12.0 | 5628 | 0.0839 | 0.1861 |
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+ | 0.6057 | 13.0 | 6097 | 0.0838 | 0.1883 |
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+ | 0.5872 | 14.0 | 6566 | 0.0839 | 0.1895 |
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+ | 0.5605 | 14.9685 | 7020 | 0.0838 | 0.1891 |
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  ### Framework versions
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