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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: 0.0239
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- - Wer: 2.5045
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- - Cer: 1.3417
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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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- | 0.0573 | 1.0 | 469 | 0.0557 | 3.7557 | 1.5146 |
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- | 0.0363 | 2.0 | 938 | 0.0342 | 2.7052 | 1.2471 |
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- | 0.0255 | 3.0 | 1407 | 0.0278 | 2.5271 | 1.2806 |
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- | 0.0228 | 4.0 | 1876 | 0.0242 | 2.0662 | 1.1215 |
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- | 0.0173 | 5.0 | 2345 | 0.0223 | 2.6519 | 1.5182 |
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- | 0.0182 | 6.0 | 2814 | 0.0211 | 2.5336 | 1.3413 |
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- | 0.02 | 7.0 | 3283 | 0.0203 | 2.5506 | 1.3904 |
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- | 0.0146 | 8.0 | 3752 | 0.0197 | 2.1023 | 1.1479 |
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- | 0.0132 | 9.0 | 4221 | 0.0191 | 2.4327 | 1.3539 |
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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: 0.0180
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+ - Wer: 2.0030
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+ - Cer: 1.0182
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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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+ | 0.0211 | 1.0 | 469 | 0.0229 | 2.6548 | 1.3564 |
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+ | 0.0192 | 2.0 | 938 | 0.0209 | 2.1622 | 1.1267 |
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+ | 0.0149 | 3.0 | 1407 | 0.0193 | 1.3596 | 0.6720 |
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+ | 0.0145 | 4.0 | 1876 | 0.0182 | 1.1658 | 0.6142 |
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+ | 0.0106 | 5.0 | 2345 | 0.0176 | 1.7265 | 0.9079 |
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+ | 0.0121 | 6.0 | 2814 | 0.0171 | 1.5142 | 0.7794 |
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+ | 0.0139 | 7.0 | 3283 | 0.0168 | 1.6885 | 0.8300 |
 
 
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  ### Framework versions
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