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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: 0.0060
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- - Wer: 0.0802
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- - Cer: 0.0316
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  ## Model description
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@@ -57,13 +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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- | 0.0065 | 1.0 | 391 | 0.0057 | 0.0744 | 0.0290 |
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- | 0.0054 | 2.0 | 782 | 0.0056 | 0.0733 | 0.0285 |
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- | 0.0046 | 3.0 | 1173 | 0.0057 | 0.0782 | 0.0298 |
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- | 0.0033 | 4.0 | 1564 | 0.0058 | 0.0746 | 0.0280 |
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- | 0.0046 | 5.0 | 1955 | 0.0061 | 0.0726 | 0.0280 |
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- | 0.0032 | 6.0 | 2346 | 0.0064 | 0.0726 | 0.0278 |
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- | 0.0013 | 7.0 | 2737 | 0.0067 | 0.0740 | 0.0296 |
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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: 0.0058
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+ - Wer: 0.0785
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+ - Cer: 0.0309
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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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+ | 0.0067 | 1.0 | 273 | 0.0054 | 0.0757 | 0.0295 |
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+ | 0.0057 | 2.0 | 546 | 0.0053 | 0.0702 | 0.0269 |
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+ | 0.0044 | 3.0 | 819 | 0.0054 | 0.0710 | 0.0270 |
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+ | 0.0031 | 4.0 | 1092 | 0.0056 | 0.0740 | 0.0270 |
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+ | 0.0028 | 5.0 | 1365 | 0.0058 | 0.0778 | 0.0307 |
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+ | 0.0024 | 6.0 | 1638 | 0.0061 | 0.0760 | 0.0282 |
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+ | 0.0015 | 7.0 | 1911 | 0.0065 | 0.0733 | 0.0274 |
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  ### Framework versions
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