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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: 0.0143
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- - Wer: 0.5006
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- - Cer: 0.2258
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  ## Model description
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@@ -57,15 +57,15 @@ 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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- | 0.019 | 1.0 | 469 | 0.0174 | 1.0592 | 0.5214 |
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- | 0.0145 | 2.0 | 938 | 0.0161 | 1.1772 | 0.5591 |
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- | 0.0149 | 3.0 | 1407 | 0.0153 | 0.6080 | 0.2749 |
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- | 0.0103 | 4.0 | 1876 | 0.0145 | 0.4434 | 0.1993 |
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- | 0.0092 | 5.0 | 2345 | 0.0141 | 0.4646 | 0.2128 |
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- | 0.0108 | 6.0 | 2814 | 0.0137 | 0.4534 | 0.2096 |
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- | 0.0084 | 7.0 | 3283 | 0.0135 | 0.4440 | 0.2115 |
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- | 0.0087 | 8.0 | 3752 | 0.0134 | 0.4793 | 0.2098 |
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- | 0.0074 | 9.0 | 4221 | 0.0134 | 0.4538 | 0.2090 |
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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: 0.0128
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+ - Wer: 0.2558
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+ - Cer: 0.1079
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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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+ | 0.0122 | 1.0 | 469 | 0.0144 | 0.6112 | 0.2654 |
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+ | 0.0095 | 2.0 | 938 | 0.0138 | 0.3718 | 0.1563 |
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+ | 0.0105 | 3.0 | 1407 | 0.0136 | 0.2865 | 0.1192 |
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+ | 0.0069 | 4.0 | 1876 | 0.0135 | 0.3586 | 0.1424 |
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+ | 0.0062 | 5.0 | 2345 | 0.0132 | 0.3569 | 0.1506 |
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+ | 0.0075 | 6.0 | 2814 | 0.0132 | 0.2715 | 0.1097 |
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+ | 0.0058 | 7.0 | 3283 | 0.0130 | 0.3638 | 0.1479 |
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+ | 0.0061 | 8.0 | 3752 | 0.0131 | 0.3557 | 0.1408 |
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+ | 0.0049 | 9.0 | 4221 | 0.0132 | 0.3437 | 0.1350 |
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  ### Framework versions
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