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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 +28 -28
  2. model.safetensors +1 -1
  3. runs/Mar08_17-11-11_637aa479c0e5/events.out.tfevents.1741453874.637aa479c0e5.23.0 +2 -2
  4. runs/Mar08_17-11-11_637aa479c0e5/events.out.tfevents.1741492952.637aa479c0e5.23.1 +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: 0.0076
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- - Wer: 0.0631
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- - Cer: 0.0261
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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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- | 0.0036 | 0.9991 | 562 | 0.0045 | 0.0608 | 0.0247 |
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- | 0.0021 | 2.0 | 1125 | 0.0056 | 0.0588 | 0.0229 |
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- | 0.0009 | 2.9991 | 1687 | 0.0059 | 0.0661 | 0.0259 |
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- | 0.0008 | 4.0 | 2250 | 0.0066 | 0.0662 | 0.0259 |
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- | 0.0011 | 4.9991 | 2812 | 0.0065 | 0.0662 | 0.0264 |
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- | 0.0005 | 6.0 | 3375 | 0.0075 | 0.0657 | 0.0254 |
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- | 0.0005 | 6.9991 | 3937 | 0.0077 | 0.0677 | 0.0256 |
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- | 0.0006 | 8.0 | 4500 | 0.0080 | 0.0706 | 0.0264 |
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- | 0.0007 | 8.9991 | 5062 | 0.0071 | 0.0691 | 0.0261 |
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- | 0.0002 | 10.0 | 5625 | 0.0074 | 0.0722 | 0.0305 |
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- | 0.0002 | 10.9991 | 6187 | 0.0076 | 0.0614 | 0.0232 |
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- | 0.0002 | 12.0 | 6750 | 0.0073 | 0.0610 | 0.0229 |
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- | 0.0001 | 12.9991 | 7312 | 0.0081 | 0.0626 | 0.0255 |
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- | 0.0 | 14.0 | 7875 | 0.0079 | 0.0572 | 0.0222 |
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- | 0.0 | 14.9991 | 8437 | 0.0083 | 0.0576 | 0.0227 |
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- | 0.0002 | 16.0 | 9000 | 0.0080 | 0.0668 | 0.0240 |
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- | 0.0001 | 16.9991 | 9562 | 0.0078 | 0.0590 | 0.0211 |
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- | 0.0001 | 18.0 | 10125 | 0.0081 | 0.0621 | 0.0247 |
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- | 0.0 | 18.9991 | 10687 | 0.0078 | 0.0597 | 0.0219 |
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- | 0.0 | 20.0 | 11250 | 0.0076 | 0.0599 | 0.0234 |
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- | 0.0 | 20.9991 | 11812 | 0.0077 | 0.0608 | 0.0230 |
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- | 0.0 | 22.0 | 12375 | 0.0078 | 0.0605 | 0.0233 |
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- | 0.0 | 22.9991 | 12937 | 0.0079 | 0.0601 | 0.0229 |
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- | 0.0 | 24.0 | 13500 | 0.0080 | 0.0622 | 0.0252 |
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- | 0.0 | 24.9778 | 14050 | 0.0080 | 0.0601 | 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: 0.0040
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+ - Wer: 0.0573
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+ - Cer: 0.0224
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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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+ | 0.0031 | 0.9991 | 562 | 0.0043 | 0.0541 | 0.0216 |
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+ | 0.0017 | 2.0 | 1125 | 0.0047 | 0.0563 | 0.0216 |
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+ | 0.0009 | 2.9991 | 1687 | 0.0056 | 0.0621 | 0.0242 |
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+ | 0.0014 | 4.0 | 2250 | 0.0068 | 0.0659 | 0.0240 |
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+ | 0.0008 | 4.9991 | 2812 | 0.0062 | 0.0686 | 0.0292 |
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+ | 0.0006 | 6.0 | 3375 | 0.0064 | 0.0735 | 0.0295 |
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+ | 0.0002 | 6.9991 | 3937 | 0.0067 | 0.0643 | 0.0245 |
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+ | 0.0006 | 8.0 | 4500 | 0.0073 | 0.0666 | 0.0235 |
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+ | 0.0003 | 8.9991 | 5062 | 0.0072 | 0.0757 | 0.0302 |
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+ | 0.0004 | 10.0 | 5625 | 0.0077 | 0.0644 | 0.0252 |
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+ | 0.0004 | 10.9991 | 6187 | 0.0077 | 0.0679 | 0.0269 |
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+ | 0.0001 | 12.0 | 6750 | 0.0070 | 0.0588 | 0.0227 |
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+ | 0.0001 | 12.9991 | 7312 | 0.0067 | 0.0608 | 0.0200 |
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+ | 0.0003 | 14.0 | 7875 | 0.0076 | 0.0630 | 0.0214 |
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+ | 0.0002 | 14.9991 | 8437 | 0.0072 | 0.0601 | 0.0216 |
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+ | 0.0 | 16.0 | 9000 | 0.0078 | 0.0565 | 0.0208 |
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+ | 0.0 | 16.9991 | 9562 | 0.0080 | 0.0557 | 0.0202 |
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+ | 0.0 | 18.0 | 10125 | 0.0079 | 0.0554 | 0.0194 |
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+ | 0.0001 | 18.9991 | 10687 | 0.0078 | 0.0567 | 0.0201 |
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+ | 0.0 | 20.0 | 11250 | 0.0081 | 0.0547 | 0.0197 |
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+ | 0.0 | 20.9991 | 11812 | 0.0083 | 0.0576 | 0.0218 |
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+ | 0.0 | 22.0 | 12375 | 0.0082 | 0.0568 | 0.0207 |
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+ | 0.0 | 22.9991 | 12937 | 0.0082 | 0.0559 | 0.0196 |
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+ | 0.0 | 24.0 | 13500 | 0.0074 | 0.0572 | 0.0225 |
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+ | 0.0 | 24.9778 | 14050 | 0.0083 | 0.0554 | 0.0193 |
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  ### Framework versions
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