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Baselhany
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Graduation_Project_Whisper_tiny3

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
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  1. README.md +23 -23
  2. model.safetensors +1 -1
  3. runs/Feb09_17-41-59_afaf6529ae45/events.out.tfevents.1739145579.afaf6529ae45.18.1 +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-tiny](https://huggingface.co/openai/whisper-tiny) 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: 0.0086
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- - Wer: 0.0799
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- - Cer: 0.0319
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  ## Model description
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@@ -57,26 +57,26 @@ 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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- | 0.0108 | 1.0 | 157 | 0.0129 | 0.0771 | 0.0289 |
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- | 0.0124 | 2.0 | 314 | 0.0113 | 0.0758 | 0.0293 |
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- | 0.0083 | 3.0 | 471 | 0.0082 | 0.0767 | 0.0300 |
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- | 0.0053 | 4.0 | 628 | 0.0078 | 0.0742 | 0.0302 |
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- | 0.0037 | 5.0 | 785 | 0.0084 | 0.0706 | 0.0282 |
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- | 0.0019 | 6.0 | 942 | 0.0093 | 0.0719 | 0.0276 |
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- | 0.0013 | 7.0 | 1099 | 0.0102 | 0.0708 | 0.0289 |
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- | 0.0005 | 8.0 | 1256 | 0.0109 | 0.0744 | 0.0370 |
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- | 0.0002 | 9.0 | 1413 | 0.0112 | 0.0744 | 0.0369 |
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- | 0.0001 | 10.0 | 1570 | 0.0116 | 0.0742 | 0.0371 |
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- | 0.0 | 11.0 | 1727 | 0.0119 | 0.0728 | 0.0374 |
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- | 0.0 | 12.0 | 1884 | 0.0122 | 0.0748 | 0.0378 |
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- | 0.0 | 13.0 | 2041 | 0.0124 | 0.0782 | 0.0377 |
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- | 0.0 | 14.0 | 2198 | 0.0127 | 0.0762 | 0.0366 |
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- | 0.0 | 15.0 | 2355 | 0.0130 | 0.0771 | 0.0369 |
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- | 0.0 | 16.0 | 2512 | 0.0133 | 0.0871 | 0.0357 |
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- | 0.0 | 17.0 | 2669 | 0.0135 | 0.0863 | 0.0362 |
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- | 0.0 | 18.0 | 2826 | 0.0137 | 0.0782 | 0.0293 |
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- | 0.0 | 19.0 | 2983 | 0.0141 | 0.0800 | 0.0310 |
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- | 0.0 | 19.8768 | 3120 | 0.0138 | 0.0776 | 0.0295 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) 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: 0.0070
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+ - Wer: 0.0780
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+ - Cer: 0.0312
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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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+ | 0.0099 | 1.0 | 157 | 0.0075 | 0.0746 | 0.0300 |
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+ | 0.0068 | 2.0 | 314 | 0.0069 | 0.0682 | 0.0272 |
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+ | 0.0054 | 3.0 | 471 | 0.0068 | 0.0700 | 0.0278 |
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+ | 0.0043 | 4.0 | 628 | 0.0070 | 0.0726 | 0.0283 |
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+ | 0.0031 | 5.0 | 785 | 0.0074 | 0.0726 | 0.0287 |
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+ | 0.002 | 6.0 | 942 | 0.0082 | 0.0706 | 0.0285 |
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+ | 0.0015 | 7.0 | 1099 | 0.0089 | 0.0758 | 0.0381 |
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+ | 0.0005 | 8.0 | 1256 | 0.0096 | 0.0767 | 0.0479 |
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+ | 0.0001 | 9.0 | 1413 | 0.0100 | 0.0767 | 0.0385 |
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+ | 0.0002 | 10.0 | 1570 | 0.0104 | 0.0746 | 0.0474 |
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+ | 0.0 | 11.0 | 1727 | 0.0107 | 0.0751 | 0.0474 |
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+ | 0.0 | 12.0 | 1884 | 0.0109 | 0.0764 | 0.0482 |
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+ | 0.0 | 13.0 | 2041 | 0.0112 | 0.0746 | 0.0479 |
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+ | 0.0 | 14.0 | 2198 | 0.0113 | 0.0749 | 0.0488 |
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+ | 0.0 | 15.0 | 2355 | 0.0116 | 0.0767 | 0.0495 |
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+ | 0.0 | 16.0 | 2512 | 0.0119 | 0.0764 | 0.0488 |
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+ | 0.0 | 17.0 | 2669 | 0.0121 | 0.0757 | 0.0487 |
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+ | 0.0 | 18.0 | 2826 | 0.0122 | 0.0753 | 0.0489 |
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+ | 0.0 | 19.0 | 2983 | 0.0127 | 0.0766 | 0.0390 |
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+ | 0.0 | 19.8768 | 3120 | 0.0124 | 0.0755 | 0.0493 |
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  ### Framework versions
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runs/Feb09_17-41-59_afaf6529ae45/events.out.tfevents.1739145579.afaf6529ae45.18.1 ADDED
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