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Training finished

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README.md CHANGED
@@ -21,8 +21,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) 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: 0.0061
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- - Wer: 0.0788
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- - Cer: 0.0318
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  ## Model description
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@@ -55,23 +55,23 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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- | 0.008 | 1.0 | 469 | 0.0055 | 0.0719 | 0.0275 |
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- | 0.0064 | 2.0 | 938 | 0.0054 | 0.0776 | 0.0285 |
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- | 0.0047 | 3.0 | 1407 | 0.0056 | 0.0711 | 0.0268 |
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- | 0.0046 | 4.0 | 1876 | 0.0059 | 0.0740 | 0.0275 |
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- | 0.0026 | 5.0 | 2345 | 0.0062 | 0.0726 | 0.0262 |
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- | 0.0018 | 6.0 | 2814 | 0.0066 | 0.0749 | 0.0299 |
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- | 0.001 | 7.0 | 3283 | 0.0070 | 0.0762 | 0.0293 |
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- | 0.001 | 8.0 | 3752 | 0.0074 | 0.0776 | 0.0306 |
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- | 0.0005 | 9.0 | 4221 | 0.0077 | 0.0766 | 0.0299 |
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- | 0.0007 | 10.0 | 4690 | 0.0079 | 0.0760 | 0.0305 |
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- | 0.0004 | 11.0 | 5159 | 0.0082 | 0.0766 | 0.0300 |
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- | 0.0002 | 12.0 | 5628 | 0.0084 | 0.0775 | 0.0310 |
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- | 0.0001 | 13.0 | 6097 | 0.0085 | 0.0755 | 0.0295 |
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- | 0.0001 | 14.0 | 6566 | 0.0100 | 0.0935 | 0.0394 |
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- | 0.0002 | 15.0 | 7035 | 0.0086 | 0.0758 | 0.0300 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) 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: 0.0061
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+ - Wer: 0.0763
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+ - Cer: 0.0310
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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+ |:-------------:|:-------:|:-----:|:---------------:|:------:|:------:|
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+ | 0.0046 | 1.0 | 701 | 0.0052 | 0.0782 | 0.0297 |
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+ | 0.0035 | 2.0 | 1402 | 0.0049 | 0.0717 | 0.0281 |
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+ | 0.0036 | 3.0 | 2103 | 0.0052 | 0.0719 | 0.0290 |
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+ | 0.0026 | 4.0 | 2804 | 0.0055 | 0.0671 | 0.0267 |
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+ | 0.0012 | 5.0 | 3505 | 0.0058 | 0.0699 | 0.0275 |
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+ | 0.0017 | 6.0 | 4206 | 0.0062 | 0.0691 | 0.0283 |
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+ | 0.0012 | 7.0 | 4907 | 0.0067 | 0.0710 | 0.0285 |
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+ | 0.0007 | 8.0 | 5608 | 0.0071 | 0.0681 | 0.0273 |
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+ | 0.0005 | 9.0 | 6309 | 0.0075 | 0.0704 | 0.0287 |
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+ | 0.0005 | 10.0 | 7010 | 0.0077 | 0.0695 | 0.0278 |
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+ | 0.0003 | 11.0 | 7711 | 0.0079 | 0.0693 | 0.0270 |
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+ | 0.0001 | 12.0 | 8412 | 0.0080 | 0.0728 | 0.0285 |
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+ | 0.0002 | 13.0 | 9113 | 0.0081 | 0.0738 | 0.0289 |
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+ | 0.0002 | 14.0 | 9814 | 0.0093 | 0.0770 | 0.0318 |
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+ | 0.0001 | 14.9793 | 10500 | 0.0083 | 0.0717 | 0.0284 |
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  ### Framework versions
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