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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/Jan16_15-43-04_641815689c68/events.out.tfevents.1737042187.641815689c68.23.0 +2 -2
  4. runs/Jan16_15-43-04_641815689c68/events.out.tfevents.1737080119.641815689c68.23.1 +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: 0.0096
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- - Wer: 0.0668
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- - Cer: 0.0274
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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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- | 0.0084 | 1.0 | 544 | 0.0057 | 0.0749 | 0.0296 |
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- | 0.0024 | 2.0 | 1088 | 0.0064 | 0.0755 | 0.0302 |
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- | 0.0016 | 3.0 | 1632 | 0.0069 | 0.0749 | 0.0289 |
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- | 0.0008 | 4.0 | 2176 | 0.0074 | 0.0751 | 0.0288 |
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- | 0.0008 | 5.0 | 2720 | 0.0079 | 0.0760 | 0.0304 |
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- | 0.0008 | 6.0 | 3264 | 0.0086 | 0.0789 | 0.0304 |
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- | 0.0004 | 7.0 | 3808 | 0.0086 | 0.0816 | 0.0320 |
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- | 0.0008 | 8.0 | 4352 | 0.0093 | 0.0757 | 0.0290 |
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- | 0.0005 | 9.0 | 4896 | 0.0085 | 0.0762 | 0.0284 |
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- | 0.0003 | 10.0 | 5440 | 0.0090 | 0.0776 | 0.0294 |
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- | 0.0004 | 11.0 | 5984 | 0.0094 | 0.0757 | 0.0276 |
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- | 0.0003 | 12.0 | 6528 | 0.0089 | 0.0764 | 0.0267 |
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- | 0.0002 | 13.0 | 7072 | 0.0088 | 0.0802 | 0.0314 |
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- | 0.0002 | 14.0 | 7616 | 0.0090 | 0.0773 | 0.0283 |
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- | 0.0001 | 15.0 | 8160 | 0.0094 | 0.0729 | 0.0297 |
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- | 0.0 | 16.0 | 8704 | 0.0094 | 0.0671 | 0.0262 |
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- | 0.0002 | 17.0 | 9248 | 0.0090 | 0.0731 | 0.0288 |
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- | 0.0001 | 18.0 | 9792 | 0.0094 | 0.0749 | 0.0281 |
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- | 0.0 | 19.0 | 10336 | 0.0095 | 0.0675 | 0.0272 |
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- | 0.0 | 20.0 | 10880 | 0.0096 | 0.0706 | 0.0277 |
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- | 0.0 | 21.0 | 11424 | 0.0097 | 0.0684 | 0.0275 |
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- | 0.0 | 22.0 | 11968 | 0.0096 | 0.0670 | 0.0262 |
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- | 0.0 | 23.0 | 12512 | 0.0097 | 0.0664 | 0.0254 |
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- | 0.0 | 24.0 | 13056 | 0.0097 | 0.0666 | 0.0273 |
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- | 0.0 | 25.0 | 13600 | 0.0098 | 0.0666 | 0.0252 |
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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: 0.0051
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+ - Wer: 0.0682
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+ - Cer: 0.0293
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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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+ | 0.0038 | 1.0 | 544 | 0.0051 | 0.0671 | 0.0267 |
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+ | 0.0017 | 2.0 | 1088 | 0.0066 | 0.0753 | 0.0288 |
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+ | 0.0028 | 3.0 | 1632 | 0.0075 | 0.0787 | 0.0276 |
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+ | 0.0011 | 4.0 | 2176 | 0.0077 | 0.0802 | 0.0300 |
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+ | 0.0008 | 5.0 | 2720 | 0.0077 | 0.0793 | 0.0301 |
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+ | 0.001 | 6.0 | 3264 | 0.0082 | 0.0744 | 0.0275 |
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+ | 0.0006 | 7.0 | 3808 | 0.0081 | 0.0796 | 0.0304 |
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+ | 0.0006 | 8.0 | 4352 | 0.0081 | 0.0824 | 0.0338 |
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+ | 0.0004 | 9.0 | 4896 | 0.0086 | 0.0827 | 0.0317 |
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+ | 0.0005 | 10.0 | 5440 | 0.0082 | 0.0717 | 0.0278 |
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+ | 0.0003 | 11.0 | 5984 | 0.0092 | 0.0711 | 0.0267 |
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+ | 0.0003 | 12.0 | 6528 | 0.0093 | 0.0773 | 0.0308 |
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+ | 0.0003 | 13.0 | 7072 | 0.0097 | 0.0767 | 0.0280 |
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+ | 0.0002 | 14.0 | 7616 | 0.0094 | 0.0805 | 0.0336 |
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+ | 0.0001 | 15.0 | 8160 | 0.0097 | 0.0748 | 0.0284 |
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+ | 0.0001 | 16.0 | 8704 | 0.0099 | 0.0715 | 0.0261 |
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+ | 0.0001 | 17.0 | 9248 | 0.0097 | 0.0751 | 0.0293 |
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+ | 0.0 | 18.0 | 9792 | 0.0097 | 0.0682 | 0.0259 |
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+ | 0.0001 | 19.0 | 10336 | 0.0100 | 0.0717 | 0.0279 |
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+ | 0.0001 | 20.0 | 10880 | 0.0101 | 0.0704 | 0.0286 |
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+ | 0.0 | 21.0 | 11424 | 0.0104 | 0.0693 | 0.0273 |
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+ | 0.0 | 22.0 | 11968 | 0.0103 | 0.0710 | 0.0291 |
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+ | 0.0 | 23.0 | 12512 | 0.0104 | 0.0706 | 0.0289 |
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+ | 0.0 | 24.0 | 13056 | 0.0097 | 0.0681 | 0.0281 |
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+ | 0.0 | 25.0 | 13600 | 0.0105 | 0.0697 | 0.0288 |
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  ### Framework versions
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