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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: 0.0088
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- - Wer: 0.1392
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- - Cer: 0.0529
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  ## Model description
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@@ -57,13 +57,18 @@ 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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- | 0.0087 | 1.0 | 313 | 0.0090 | 0.1752 | 0.0620 |
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- | 0.0069 | 2.0 | 626 | 0.0088 | 0.1385 | 0.0468 |
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- | 0.007 | 3.0 | 939 | 0.0087 | 0.1595 | 0.0576 |
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- | 0.0052 | 4.0 | 1252 | 0.0088 | 0.1329 | 0.0420 |
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- | 0.0055 | 5.0 | 1565 | 0.0086 | 0.1571 | 0.0525 |
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- | 0.004 | 6.0 | 1878 | 0.0086 | 0.1609 | 0.0575 |
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- | 0.0034 | 7.0 | 2191 | 0.0089 | 0.1372 | 0.0447 |
 
 
 
 
 
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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: 0.0082
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+ - Wer: 0.1370
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+ - Cer: 0.0557
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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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+ | 0.0094 | 1.0 | 313 | 0.0082 | 0.1922 | 0.0690 |
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+ | 0.0082 | 2.0 | 626 | 0.0082 | 0.1392 | 0.0502 |
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+ | 0.0061 | 3.0 | 939 | 0.0081 | 0.1272 | 0.0432 |
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+ | 0.0051 | 4.0 | 1252 | 0.0080 | 0.1294 | 0.0428 |
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+ | 0.0049 | 5.0 | 1565 | 0.0082 | 0.1238 | 0.0437 |
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+ | 0.0044 | 6.0 | 1878 | 0.0082 | 0.1287 | 0.0446 |
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+ | 0.0036 | 7.0 | 2191 | 0.0084 | 0.1334 | 0.0454 |
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+ | 0.004 | 8.0 | 2504 | 0.0084 | 0.1301 | 0.0432 |
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+ | 0.0024 | 9.0 | 2817 | 0.0086 | 0.1339 | 0.0491 |
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+ | 0.0032 | 10.0 | 3130 | 0.0086 | 0.1260 | 0.0434 |
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+ | 0.0035 | 11.0 | 3443 | 0.0087 | 0.1271 | 0.0439 |
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+ | 0.0027 | 12.0 | 3756 | 0.0089 | 0.1357 | 0.0482 |
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  ### Framework versions
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