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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 (legacy)
Model card Files
xet
 Metrics Community
YoussefAshmawy commited on
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  1. README.md +30 -30
  2. model.safetensors +1 -1
  3. runs/Jan13_12-19-11_5fb95510c3ef/events.out.tfevents.1736770753.5fb95510c3ef.23.0 +2 -2
  4. runs/Jan13_12-19-11_5fb95510c3ef/events.out.tfevents.1736808313.5fb95510c3ef.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: 0.0101
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- - Wer: 0.0679
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- - Cer: 0.0278
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  ## Model description
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@@ -55,33 +55,33 @@ The following hyperparameters were used during training:
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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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- | 0.0067 | 1.0 | 525 | 0.0056 | 0.0720 | 0.0286 |
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- | 0.0021 | 2.0 | 1050 | 0.0065 | 0.0789 | 0.0321 |
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- | 0.0016 | 3.0 | 1575 | 0.0079 | 0.0791 | 0.0283 |
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- | 0.0022 | 4.0 | 2100 | 0.0086 | 0.0760 | 0.0273 |
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- | 0.0008 | 5.0 | 2625 | 0.0086 | 0.0776 | 0.0268 |
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- | 0.001 | 6.0 | 3150 | 0.0090 | 0.0811 | 0.0291 |
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- | 0.0006 | 7.0 | 3675 | 0.0090 | 0.0775 | 0.0296 |
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- | 0.0005 | 8.0 | 4200 | 0.0096 | 0.0834 | 0.0342 |
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- | 0.0004 | 9.0 | 4725 | 0.0093 | 0.0773 | 0.0276 |
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- | 0.0004 | 10.0 | 5250 | 0.0088 | 0.0740 | 0.0275 |
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- | 0.0005 | 11.0 | 5775 | 0.0094 | 0.0842 | 0.0326 |
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- | 0.0009 | 12.0 | 6300 | 0.0091 | 0.0791 | 0.0311 |
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- | 0.0003 | 13.0 | 6825 | 0.0084 | 0.0664 | 0.0257 |
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- | 0.0001 | 14.0 | 7350 | 0.0090 | 0.0695 | 0.0280 |
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- | 0.0001 | 15.0 | 7875 | 0.0085 | 0.0702 | 0.0283 |
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- | 0.0003 | 16.0 | 8400 | 0.0086 | 0.0767 | 0.0342 |
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- | 0.0 | 17.0 | 8925 | 0.0085 | 0.0679 | 0.0260 |
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- | 0.0003 | 18.0 | 9450 | 0.0086 | 0.0652 | 0.0258 |
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- | 0.0 | 19.0 | 9975 | 0.0085 | 0.0628 | 0.0243 |
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- | 0.0 | 20.0 | 10500 | 0.0084 | 0.0630 | 0.0236 |
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- | 0.0 | 21.0 | 11025 | 0.0086 | 0.0624 | 0.0239 |
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- | 0.0 | 22.0 | 11550 | 0.0087 | 0.0623 | 0.0231 |
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- | 0.0 | 23.0 | 12075 | 0.0088 | 0.0617 | 0.0235 |
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- | 0.0 | 24.0 | 12600 | 0.0101 | 0.0674 | 0.0275 |
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- | 0.0 | 25.0 | 13125 | 0.0088 | 0.0603 | 0.0226 |
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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: 0.0054
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+ - Wer: 0.0681
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+ - Cer: 0.0280
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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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+ | 0.0032 | 0.9991 | 531 | 0.0052 | 0.0646 | 0.0265 |
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+ | 0.0023 | 2.0 | 1063 | 0.0060 | 0.0671 | 0.0274 |
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+ | 0.001 | 2.9991 | 1594 | 0.0071 | 0.0758 | 0.0274 |
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+ | 0.0012 | 4.0 | 2126 | 0.0082 | 0.0820 | 0.0303 |
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+ | 0.0012 | 4.9991 | 2657 | 0.0082 | 0.0798 | 0.0302 |
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+ | 0.0009 | 6.0 | 3189 | 0.0080 | 0.0786 | 0.0283 |
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+ | 0.0007 | 6.9991 | 3720 | 0.0084 | 0.0834 | 0.0295 |
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+ | 0.0007 | 8.0 | 4252 | 0.0081 | 0.0849 | 0.0333 |
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+ | 0.0008 | 8.9991 | 4783 | 0.0090 | 0.0880 | 0.0351 |
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+ | 0.0005 | 10.0 | 5315 | 0.0087 | 0.0901 | 0.0343 |
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+ | 0.0005 | 10.9991 | 5846 | 0.0085 | 0.0804 | 0.0285 |
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+ | 0.0001 | 12.0 | 6378 | 0.0090 | 0.0760 | 0.0290 |
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+ | 0.0003 | 12.9991 | 6909 | 0.0092 | 0.0762 | 0.0289 |
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+ | 0.0003 | 14.0 | 7441 | 0.0090 | 0.0737 | 0.0263 |
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+ | 0.0002 | 14.9991 | 7972 | 0.0089 | 0.0795 | 0.0301 |
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+ | 0.0001 | 16.0 | 8504 | 0.0091 | 0.0729 | 0.0291 |
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+ | 0.0 | 16.9991 | 9035 | 0.0091 | 0.0728 | 0.0277 |
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+ | 0.0 | 18.0 | 9567 | 0.0093 | 0.0700 | 0.0277 |
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+ | 0.0 | 18.9991 | 10098 | 0.0095 | 0.0686 | 0.0267 |
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+ | 0.0 | 20.0 | 10630 | 0.0096 | 0.0682 | 0.0259 |
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+ | 0.0 | 20.9991 | 11161 | 0.0098 | 0.0681 | 0.0265 |
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+ | 0.0 | 22.0 | 11693 | 0.0099 | 0.0673 | 0.0265 |
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+ | 0.0 | 22.9991 | 12224 | 0.0100 | 0.0671 | 0.0264 |
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+ | 0.0 | 24.0 | 12756 | 0.0102 | 0.0694 | 0.0271 |
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+ | 0.0 | 24.9765 | 13275 | 0.0100 | 0.0675 | 0.0265 |
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  ### Framework versions
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