Training finished
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README.md
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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.
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- Wer: 0.
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- Cer: 0.
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## Model description
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### Training results
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| Training Loss | Epoch
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| 0.0046 | 8.0 | 2504 | 0.0093 | 0.1674 | 0.0567 |
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| 0.0036 | 9.0 | 2817 | 0.0096 | 0.1437 | 0.0482 |
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| 0.0036 | 10.0 | 3130 | 0.0095 | 0.1522 | 0.0518 |
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| 0.0032 | 11.0 | 3443 | 0.0095 | 0.1508 | 0.0520 |
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| 0.0023 | 12.0 | 3756 | 0.0096 | 0.1466 | 0.0487 |
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| 0.0028 | 13.0 | 4069 | 0.0096 | 0.1426 | 0.0461 |
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| 0.0028 | 14.0 | 4382 | 0.0100 | 0.1508 | 0.0582 |
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| 0.0023 | 14.9536 | 4680 | 0.0097 | 0.1403 | 0.0455 |
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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: 0.0088
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- Wer: 0.1392
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- Cer: 0.0529
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## Model description
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### Training results
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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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model.safetensors
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