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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: 0.0096
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- - Wer: 0.1101
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- - Cer: 0.0435
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  ## Model description
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@@ -57,15 +57,13 @@ 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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- | 0.0074 | 1.0 | 313 | 0.0085 | 0.1014 | 0.0371 |
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- | 0.0092 | 2.0 | 626 | 0.0080 | 0.1017 | 0.0360 |
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- | 0.0038 | 3.0 | 939 | 0.0079 | 0.0961 | 0.0329 |
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- | 0.0049 | 4.0 | 1252 | 0.0081 | 0.1006 | 0.0366 |
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- | 0.0029 | 5.0 | 1565 | 0.0090 | 0.1023 | 0.0397 |
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- | 0.0024 | 6.0 | 1878 | 0.0091 | 0.0909 | 0.0323 |
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- | 0.0045 | 7.0 | 2191 | 0.0096 | 0.0967 | 0.0360 |
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- | 0.0023 | 8.0 | 2504 | 0.0102 | 0.0999 | 0.0458 |
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- | 0.0013 | 9.0 | 2817 | 0.0107 | 0.0956 | 0.0439 |
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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: 0.0081
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+ - Wer: 0.0932
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+ - Cer: 0.0353
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  ## Model description
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  | 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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