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YoussefAshmawy
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Graduation_Project_Whisper_base

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
arabic
quran
Eval Results
Model card Files
xet
Metrics Community
YoussefAshmawy commited on
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  1. README.md +28 -28
  2. model.safetensors +1 -1
  3. runs/Jan09_13-27-09_2c9b75799e14/events.out.tfevents.1736465235.2c9b75799e14.23.1 +3 -0
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-base](https://huggingface.co/openai/whisper-base) 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: 0.0122
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- - Wer: 0.0747
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- - Cer: 0.0300
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  ## Model description
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@@ -57,31 +57,31 @@ 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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- | 0.0073 | 0.9990 | 512 | 0.0061 | 0.0782 | 0.0288 |
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- | 0.0044 | 2.0 | 1025 | 0.0071 | 0.0862 | 0.0326 |
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- | 0.0025 | 2.9990 | 1537 | 0.0082 | 0.0890 | 0.0329 |
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- | 0.0011 | 4.0 | 2050 | 0.0090 | 0.0883 | 0.0336 |
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- | 0.0013 | 4.9990 | 2562 | 0.0091 | 0.0798 | 0.0291 |
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- | 0.0008 | 6.0 | 3075 | 0.0094 | 0.0834 | 0.0316 |
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- | 0.0009 | 6.9990 | 3587 | 0.0097 | 0.0869 | 0.0298 |
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- | 0.0012 | 8.0 | 4100 | 0.0108 | 0.0900 | 0.0329 |
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- | 0.0005 | 8.9990 | 4612 | 0.0107 | 0.0834 | 0.0315 |
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- | 0.0005 | 10.0 | 5125 | 0.0116 | 0.0930 | 0.0353 |
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- | 0.0003 | 10.9990 | 5637 | 0.0109 | 0.0778 | 0.0291 |
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- | 0.0003 | 12.0 | 6150 | 0.0110 | 0.0829 | 0.0288 |
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- | 0.0002 | 12.9990 | 6662 | 0.0115 | 0.0836 | 0.0343 |
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- | 0.0001 | 14.0 | 7175 | 0.0120 | 0.0818 | 0.0297 |
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- | 0.0002 | 14.9990 | 7687 | 0.0123 | 0.0829 | 0.0309 |
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- | 0.0002 | 16.0 | 8200 | 0.0118 | 0.0791 | 0.0301 |
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- | 0.0002 | 16.9990 | 8712 | 0.0114 | 0.0809 | 0.0315 |
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- | 0.0001 | 18.0 | 9225 | 0.0122 | 0.0791 | 0.0313 |
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- | 0.0 | 18.9990 | 9737 | 0.0122 | 0.0782 | 0.0295 |
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- | 0.0 | 20.0 | 10250 | 0.0123 | 0.0758 | 0.0289 |
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- | 0.0 | 20.9990 | 10762 | 0.0126 | 0.0717 | 0.0271 |
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- | 0.0 | 22.0 | 11275 | 0.0127 | 0.0704 | 0.0271 |
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- | 0.0 | 22.9990 | 11787 | 0.0128 | 0.0704 | 0.0271 |
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- | 0.0 | 24.0 | 12300 | 0.0122 | 0.0748 | 0.0300 |
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- | 0.0 | 24.9756 | 12800 | 0.0129 | 0.0699 | 0.0269 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) 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: 0.0108
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+ - Wer: 0.0696
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+ - Cer: 0.0282
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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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+ | 0.0045 | 0.9990 | 512 | 0.0064 | 0.0766 | 0.0315 |
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+ | 0.0032 | 2.0 | 1025 | 0.0067 | 0.0798 | 0.0322 |
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+ | 0.002 | 2.9990 | 1537 | 0.0076 | 0.0786 | 0.0314 |
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+ | 0.0019 | 4.0 | 2050 | 0.0084 | 0.0849 | 0.0333 |
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+ | 0.0009 | 4.9990 | 2562 | 0.0090 | 0.0796 | 0.0283 |
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+ | 0.0009 | 6.0 | 3075 | 0.0092 | 0.0829 | 0.0328 |
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+ | 0.0007 | 6.9990 | 3587 | 0.0094 | 0.0827 | 0.0330 |
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+ | 0.0003 | 8.0 | 4100 | 0.0088 | 0.0827 | 0.0323 |
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+ | 0.0006 | 8.9990 | 4612 | 0.0094 | 0.0842 | 0.0308 |
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+ | 0.0005 | 10.0 | 5125 | 0.0094 | 0.0822 | 0.0321 |
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+ | 0.0004 | 10.9990 | 5637 | 0.0094 | 0.0713 | 0.0262 |
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+ | 0.0002 | 12.0 | 6150 | 0.0101 | 0.0782 | 0.0309 |
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+ | 0.0002 | 12.9990 | 6662 | 0.0101 | 0.0762 | 0.0292 |
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+ | 0.0002 | 14.0 | 7175 | 0.0104 | 0.0749 | 0.0304 |
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+ | 0.0003 | 14.9990 | 7687 | 0.0107 | 0.0813 | 0.0322 |
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+ | 0.0002 | 16.0 | 8200 | 0.0107 | 0.0753 | 0.0275 |
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+ | 0.0001 | 16.9990 | 8712 | 0.0099 | 0.0724 | 0.0276 |
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+ | 0.0 | 18.0 | 9225 | 0.0103 | 0.0702 | 0.0279 |
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+ | 0.0 | 18.9990 | 9737 | 0.0104 | 0.0657 | 0.0264 |
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+ | 0.0 | 20.0 | 10250 | 0.0105 | 0.0657 | 0.0264 |
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+ | 0.0 | 20.9990 | 10762 | 0.0107 | 0.0668 | 0.0259 |
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+ | 0.0 | 22.0 | 11275 | 0.0108 | 0.0659 | 0.0254 |
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+ | 0.0 | 22.9990 | 11787 | 0.0108 | 0.0648 | 0.0249 |
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+ | 0.0 | 24.0 | 12300 | 0.0108 | 0.0698 | 0.0285 |
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+ | 0.0 | 24.9756 | 12800 | 0.0109 | 0.0652 | 0.0253 |
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  ### Framework versions
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runs/Jan09_13-27-09_2c9b75799e14/events.out.tfevents.1736465235.2c9b75799e14.23.1 ADDED
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