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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/Mar09_18-29-17_176b5fa72055/events.out.tfevents.1741544961.176b5fa72055.23.0 +2 -2
  4. runs/Mar09_18-29-17_176b5fa72055/events.out.tfevents.1741584986.176b5fa72055.23.1 +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: 0.0068
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- - Wer: 0.0564
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- - Cer: 0.0217
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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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- | 0.0038 | 0.9991 | 581 | 0.0046 | 0.0574 | 0.0216 |
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- | 0.0024 | 2.0 | 1163 | 0.0043 | 0.0574 | 0.0236 |
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- | 0.0013 | 2.9991 | 1744 | 0.0050 | 0.0605 | 0.0233 |
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- | 0.0008 | 4.0 | 2326 | 0.0060 | 0.0592 | 0.0241 |
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- | 0.0012 | 4.9991 | 2907 | 0.0057 | 0.0639 | 0.0239 |
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- | 0.0004 | 6.0 | 3489 | 0.0062 | 0.0632 | 0.0257 |
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- | 0.0004 | 6.9991 | 4070 | 0.0060 | 0.0637 | 0.0249 |
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- | 0.0005 | 8.0 | 4652 | 0.0061 | 0.0621 | 0.0211 |
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- | 0.0004 | 8.9991 | 5233 | 0.0062 | 0.0664 | 0.0277 |
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- | 0.0003 | 10.0 | 5815 | 0.0062 | 0.0621 | 0.0219 |
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- | 0.0003 | 10.9991 | 6396 | 0.0060 | 0.0599 | 0.0239 |
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- | 0.0001 | 12.0 | 6978 | 0.0065 | 0.0605 | 0.0230 |
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- | 0.0003 | 12.9991 | 7559 | 0.0067 | 0.0605 | 0.0243 |
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- | 0.0001 | 14.0 | 8141 | 0.0069 | 0.0624 | 0.0248 |
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- | 0.0001 | 14.9991 | 8722 | 0.0069 | 0.0581 | 0.0236 |
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- | 0.0003 | 16.0 | 9304 | 0.0068 | 0.0603 | 0.0223 |
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- | 0.0001 | 16.9991 | 9885 | 0.0068 | 0.0595 | 0.0239 |
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- | 0.0 | 18.0 | 10467 | 0.0062 | 0.0541 | 0.0214 |
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- | 0.0 | 18.9991 | 11048 | 0.0064 | 0.0541 | 0.0214 |
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- | 0.0 | 20.0 | 11630 | 0.0064 | 0.0554 | 0.0218 |
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- | 0.0 | 20.9991 | 12211 | 0.0066 | 0.0534 | 0.0205 |
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- | 0.0 | 22.0 | 12793 | 0.0067 | 0.0532 | 0.0205 |
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- | 0.0 | 22.9991 | 13374 | 0.0068 | 0.0532 | 0.0205 |
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- | 0.0 | 24.0 | 13956 | 0.0068 | 0.0565 | 0.0217 |
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- | 0.0 | 24.9785 | 14525 | 0.0069 | 0.0530 | 0.0205 |
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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: 0.0037
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+ - Wer: 0.0560
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+ - Cer: 0.0223
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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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+ | 0.0037 | 0.9991 | 581 | 0.0038 | 0.0523 | 0.0206 |
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+ | 0.0019 | 2.0 | 1163 | 0.0042 | 0.0556 | 0.0202 |
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+ | 0.0006 | 2.9991 | 1744 | 0.0048 | 0.0547 | 0.0224 |
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+ | 0.0009 | 4.0 | 2326 | 0.0058 | 0.0630 | 0.0246 |
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+ | 0.001 | 4.9991 | 2907 | 0.0062 | 0.0652 | 0.0225 |
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+ | 0.0007 | 6.0 | 3489 | 0.0063 | 0.0653 | 0.0238 |
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+ | 0.0003 | 6.9991 | 4070 | 0.0059 | 0.0588 | 0.0216 |
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+ | 0.0002 | 8.0 | 4652 | 0.0055 | 0.0635 | 0.0247 |
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+ | 0.0002 | 8.9991 | 5233 | 0.0063 | 0.0599 | 0.0206 |
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+ | 0.0002 | 10.0 | 5815 | 0.0060 | 0.0597 | 0.0220 |
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+ | 0.0004 | 10.9991 | 6396 | 0.0063 | 0.0606 | 0.0219 |
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+ | 0.0002 | 12.0 | 6978 | 0.0068 | 0.0581 | 0.0226 |
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+ | 0.0001 | 12.9991 | 7559 | 0.0065 | 0.0601 | 0.0209 |
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+ | 0.0001 | 14.0 | 8141 | 0.0067 | 0.0559 | 0.0215 |
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+ | 0.0001 | 14.9991 | 8722 | 0.0066 | 0.0586 | 0.0217 |
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+ | 0.0 | 16.0 | 9304 | 0.0070 | 0.0592 | 0.0244 |
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+ | 0.0 | 16.9991 | 9885 | 0.0070 | 0.0579 | 0.0247 |
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+ | 0.0 | 18.0 | 10467 | 0.0072 | 0.0552 | 0.0231 |
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+ | 0.0 | 18.9991 | 11048 | 0.0073 | 0.0541 | 0.0229 |
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+ | 0.0 | 20.0 | 11630 | 0.0074 | 0.0539 | 0.0229 |
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+ | 0.0 | 20.9991 | 12211 | 0.0075 | 0.0532 | 0.0219 |
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+ | 0.0 | 22.0 | 12793 | 0.0076 | 0.0536 | 0.0223 |
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+ | 0.0 | 22.9991 | 13374 | 0.0077 | 0.0536 | 0.0223 |
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+ | 0.0 | 24.0 | 13956 | 0.0072 | 0.0560 | 0.0237 |
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+ | 0.0 | 24.9785 | 14525 | 0.0077 | 0.0536 | 0.0224 |
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  ### Framework versions
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