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Baselhany
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Graduation_Project_Whisper_tiny3

Automatic Speech Recognition
Transformers
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Safetensors
Arabic
whisper
Generated from Trainer
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  1. README.md +23 -23
  2. model.safetensors +1 -1
  3. runs/Feb11_18-02-35_5a95c4591304/events.out.tfevents.1739320347.5a95c4591304.18.1 +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: 0.0062
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- - Wer: 0.0707
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- - Cer: 0.0287
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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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- | 0.0056 | 1.0 | 157 | 0.0061 | 0.0646 | 0.0262 |
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- | 0.0061 | 2.0 | 314 | 0.0060 | 0.0643 | 0.0263 |
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- | 0.0055 | 3.0 | 471 | 0.0059 | 0.0715 | 0.0321 |
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- | 0.0047 | 4.0 | 628 | 0.0060 | 0.0661 | 0.0272 |
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- | 0.0023 | 5.0 | 785 | 0.0061 | 0.0633 | 0.0257 |
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- | 0.0035 | 6.0 | 942 | 0.0063 | 0.0652 | 0.0267 |
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- | 0.0029 | 7.0 | 1099 | 0.0067 | 0.0659 | 0.0274 |
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- | 0.0017 | 8.0 | 1256 | 0.0070 | 0.0652 | 0.0270 |
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- | 0.0016 | 9.0 | 1413 | 0.0075 | 0.0668 | 0.0269 |
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- | 0.0009 | 10.0 | 1570 | 0.0079 | 0.0688 | 0.0282 |
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- | 0.0007 | 11.0 | 1727 | 0.0082 | 0.0708 | 0.0285 |
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- | 0.0003 | 12.0 | 1884 | 0.0085 | 0.0713 | 0.0375 |
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- | 0.0005 | 13.0 | 2041 | 0.0087 | 0.0720 | 0.0299 |
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- | 0.0002 | 14.0 | 2198 | 0.0089 | 0.0735 | 0.0381 |
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- | 0.0002 | 15.0 | 2355 | 0.0091 | 0.0742 | 0.0396 |
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- | 0.0003 | 16.0 | 2512 | 0.0092 | 0.0713 | 0.0299 |
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- | 0.0001 | 17.0 | 2669 | 0.0093 | 0.0711 | 0.0283 |
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- | 0.0003 | 18.0 | 2826 | 0.0093 | 0.0710 | 0.0281 |
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- | 0.0002 | 19.0 | 2983 | 0.0098 | 0.0987 | 0.0418 |
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- | 0.0001 | 19.8768 | 3120 | 0.0094 | 0.0708 | 0.0279 |
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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: 0.0058
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+ - Wer: 0.0698
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+ - Cer: 0.0282
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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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+ | 0.0068 | 1.0 | 157 | 0.0060 | 0.0635 | 0.0258 |
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+ | 0.005 | 2.0 | 314 | 0.0058 | 0.0713 | 0.0324 |
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+ | 0.0055 | 3.0 | 471 | 0.0057 | 0.0624 | 0.0255 |
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+ | 0.0064 | 4.0 | 628 | 0.0057 | 0.0628 | 0.0264 |
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+ | 0.0042 | 5.0 | 785 | 0.0059 | 0.0644 | 0.0272 |
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+ | 0.0031 | 6.0 | 942 | 0.0061 | 0.0646 | 0.0258 |
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+ | 0.0022 | 7.0 | 1099 | 0.0063 | 0.0664 | 0.0271 |
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+ | 0.0024 | 8.0 | 1256 | 0.0067 | 0.0652 | 0.0261 |
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+ | 0.0017 | 9.0 | 1413 | 0.0071 | 0.0652 | 0.0257 |
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+ | 0.0011 | 10.0 | 1570 | 0.0075 | 0.0662 | 0.0268 |
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+ | 0.0006 | 11.0 | 1727 | 0.0078 | 0.0664 | 0.0267 |
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+ | 0.0006 | 12.0 | 1884 | 0.0082 | 0.1468 | 0.0459 |
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+ | 0.0006 | 13.0 | 2041 | 0.0084 | 0.1486 | 0.0543 |
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+ | 0.0003 | 14.0 | 2198 | 0.0086 | 0.1486 | 0.0549 |
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+ | 0.0003 | 15.0 | 2355 | 0.0087 | 0.1497 | 0.0546 |
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+ | 0.0001 | 16.0 | 2512 | 0.0089 | 0.1479 | 0.0538 |
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+ | 0.0003 | 17.0 | 2669 | 0.0089 | 0.1495 | 0.0542 |
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+ | 0.0001 | 18.0 | 2826 | 0.0090 | 0.2304 | 0.0930 |
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+ | 0.0001 | 19.0 | 2983 | 0.0094 | 0.1203 | 0.0502 |
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+ | 0.0001 | 19.8768 | 3120 | 0.0090 | 0.2286 | 0.0921 |
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  ### Framework versions
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runs/Feb11_18-02-35_5a95c4591304/events.out.tfevents.1739320347.5a95c4591304.18.1 ADDED
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