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Training finished

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README.md CHANGED
@@ -20,9 +20,9 @@ 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: 0.0081
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- - Wer: 0.0932
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- - Cer: 0.0353
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  ## Model description
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@@ -57,13 +57,17 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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- | 0.0078 | 1.0 | 313 | 0.0078 | 0.0986 | 0.0390 |
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- | 0.0069 | 2.0 | 626 | 0.0075 | 0.0963 | 0.0371 |
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- | 0.0037 | 3.0 | 939 | 0.0077 | 0.0910 | 0.0323 |
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- | 0.004 | 4.0 | 1252 | 0.0079 | 0.0885 | 0.0316 |
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- | 0.0027 | 5.0 | 1565 | 0.0087 | 0.0974 | 0.0398 |
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- | 0.0029 | 6.0 | 1878 | 0.0090 | 0.0898 | 0.0326 |
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- | 0.001 | 7.0 | 2191 | 0.0095 | 0.0919 | 0.0340 |
 
 
 
 
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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: 0.0097
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+ - Wer: 0.0951
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+ - Cer: 0.0412
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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+ | 0.0078 | 1.0 | 313 | 0.0073 | 0.0916 | 0.0336 |
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+ | 0.0059 | 2.0 | 626 | 0.0071 | 0.0878 | 0.0325 |
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+ | 0.0051 | 3.0 | 939 | 0.0072 | 0.0878 | 0.0331 |
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+ | 0.0036 | 4.0 | 1252 | 0.0077 | 0.0874 | 0.0336 |
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+ | 0.0017 | 5.0 | 1565 | 0.0081 | 0.0881 | 0.0341 |
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+ | 0.0018 | 6.0 | 1878 | 0.0086 | 0.0871 | 0.0357 |
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+ | 0.0016 | 7.0 | 2191 | 0.0091 | 0.0909 | 0.0369 |
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+ | 0.0016 | 8.0 | 2504 | 0.0095 | 0.0842 | 0.0327 |
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+ | 0.0011 | 9.0 | 2817 | 0.0098 | 0.0889 | 0.0336 |
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+ | 0.001 | 10.0 | 3130 | 0.0102 | 0.0872 | 0.0415 |
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+ | 0.0008 | 11.0 | 3443 | 0.0104 | 0.0865 | 0.0321 |
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  ### Framework versions
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