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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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Training finished

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  1. README.md +30 -30
  2. model.safetensors +1 -1
  3. runs/Feb26_09-55-49_e1533958b94a/events.out.tfevents.1740563751.e1533958b94a.23.0 +2 -2
  4. runs/Feb26_09-55-49_e1533958b94a/events.out.tfevents.1740599567.e1533958b94a.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: 0.0088
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- - Wer: 0.0638
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- - Cer: 0.0245
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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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- | 0.0045 | 0.9991 | 562 | 0.0055 | 0.0662 | 0.0270 |
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- | 0.0013 | 2.0 | 1125 | 0.0060 | 0.0691 | 0.0249 |
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- | 0.0012 | 2.9991 | 1687 | 0.0076 | 0.0820 | 0.0308 |
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- | 0.0011 | 4.0 | 2250 | 0.0074 | 0.0729 | 0.0283 |
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- | 0.0005 | 4.9991 | 2812 | 0.0074 | 0.0702 | 0.0259 |
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- | 0.0007 | 6.0 | 3375 | 0.0081 | 0.0735 | 0.0268 |
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- | 0.0007 | 6.9991 | 3937 | 0.0083 | 0.0742 | 0.0274 |
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- | 0.0006 | 8.0 | 4500 | 0.0086 | 0.0771 | 0.0292 |
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- | 0.0003 | 8.9991 | 5062 | 0.0084 | 0.0740 | 0.0284 |
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- | 0.0003 | 10.0 | 5625 | 0.0083 | 0.0677 | 0.0241 |
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- | 0.0006 | 10.9991 | 6187 | 0.0083 | 0.0769 | 0.0290 |
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- | 0.0002 | 12.0 | 6750 | 0.0091 | 0.0695 | 0.0276 |
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- | 0.0002 | 12.9991 | 7312 | 0.0086 | 0.0710 | 0.0265 |
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- | 0.0004 | 14.0 | 7875 | 0.0087 | 0.0700 | 0.0267 |
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- | 0.0 | 14.9991 | 8437 | 0.0090 | 0.0682 | 0.0244 |
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- | 0.0 | 16.0 | 9000 | 0.0089 | 0.0681 | 0.0260 |
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- | 0.0 | 16.9991 | 9562 | 0.0094 | 0.0695 | 0.0244 |
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- | 0.0001 | 18.0 | 10125 | 0.0097 | 0.0688 | 0.0256 |
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- | 0.0001 | 18.9991 | 10687 | 0.0096 | 0.0690 | 0.0251 |
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- | 0.0 | 20.0 | 11250 | 0.0100 | 0.0662 | 0.0234 |
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- | 0.0 | 20.9991 | 11812 | 0.0100 | 0.0670 | 0.0245 |
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- | 0.0 | 22.0 | 12375 | 0.0101 | 0.0671 | 0.0239 |
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- | 0.0 | 22.9991 | 12937 | 0.0102 | 0.0664 | 0.0234 |
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- | 0.0 | 24.0 | 13500 | 0.0088 | 0.0638 | 0.0245 |
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- | 0.0 | 24.9778 | 14050 | 0.0103 | 0.0657 | 0.0231 |
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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: 0.0047
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+ - Wer: 0.0610
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+ - Cer: 0.0244
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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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+ | 0.0021 | 1.0 | 500 | 0.0050 | 0.0583 | 0.0225 |
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+ | 0.0026 | 2.0 | 1000 | 0.0063 | 0.0681 | 0.0238 |
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+ | 0.0012 | 3.0 | 1500 | 0.0065 | 0.0657 | 0.0238 |
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+ | 0.0009 | 4.0 | 2000 | 0.0072 | 0.0706 | 0.0251 |
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+ | 0.0008 | 5.0 | 2500 | 0.0076 | 0.0769 | 0.0287 |
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+ | 0.0007 | 6.0 | 3000 | 0.0075 | 0.0699 | 0.0275 |
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+ | 0.0006 | 7.0 | 3500 | 0.0076 | 0.0691 | 0.0243 |
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+ | 0.0002 | 8.0 | 4000 | 0.0079 | 0.0700 | 0.0267 |
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+ | 0.0004 | 9.0 | 4500 | 0.0084 | 0.0748 | 0.0270 |
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+ | 0.0004 | 10.0 | 5000 | 0.0087 | 0.0742 | 0.0254 |
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+ | 0.0003 | 11.0 | 5500 | 0.0089 | 0.0762 | 0.0301 |
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+ | 0.0003 | 12.0 | 6000 | 0.0084 | 0.0811 | 0.0299 |
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+ | 0.0002 | 13.0 | 6500 | 0.0080 | 0.0697 | 0.0249 |
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+ | 0.0002 | 14.0 | 7000 | 0.0083 | 0.0724 | 0.0268 |
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+ | 0.0001 | 15.0 | 7500 | 0.0081 | 0.0719 | 0.0266 |
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+ | 0.0 | 16.0 | 8000 | 0.0087 | 0.0711 | 0.0256 |
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+ | 0.0001 | 17.0 | 8500 | 0.0087 | 0.0664 | 0.0245 |
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+ | 0.0 | 18.0 | 9000 | 0.0086 | 0.0695 | 0.0260 |
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+ | 0.0 | 19.0 | 9500 | 0.0089 | 0.0661 | 0.0239 |
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+ | 0.0 | 20.0 | 10000 | 0.0091 | 0.0681 | 0.0267 |
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+ | 0.0 | 21.0 | 10500 | 0.0092 | 0.0679 | 0.0267 |
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+ | 0.0 | 22.0 | 11000 | 0.0093 | 0.0666 | 0.0258 |
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+ | 0.0 | 23.0 | 11500 | 0.0094 | 0.0659 | 0.0258 |
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+ | 0.0 | 24.0 | 12000 | 0.0090 | 0.0643 | 0.0267 |
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+ | 0.0 | 25.0 | 12500 | 0.0094 | 0.0653 | 0.0258 |
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  ### Framework versions
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