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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/Dec25_00-08-19_11c6c41ac3f0/events.out.tfevents.1735085302.11c6c41ac3f0.23.0 +2 -2
  4. runs/Dec25_00-08-19_11c6c41ac3f0/events.out.tfevents.1735113608.11c6c41ac3f0.23.1 +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: 0.0393
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- - Wer: 0.2318
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- - Cer: 0.1452
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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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- | 0.023 | 1.0 | 375 | 0.0229 | 0.2589 | 0.1613 |
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- | 0.0175 | 2.0 | 750 | 0.0255 | 0.2915 | 0.1839 |
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- | 0.0107 | 3.0 | 1125 | 0.0283 | 0.2797 | 0.1637 |
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- | 0.0058 | 4.0 | 1500 | 0.0317 | 0.2760 | 0.1676 |
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- | 0.0032 | 5.0 | 1875 | 0.0334 | 0.2704 | 0.1674 |
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- | 0.0028 | 6.0 | 2250 | 0.0339 | 0.2691 | 0.1650 |
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- | 0.0023 | 7.0 | 2625 | 0.0353 | 0.2538 | 0.1506 |
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- | 0.0016 | 8.0 | 3000 | 0.0369 | 0.2539 | 0.1539 |
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- | 0.0013 | 9.0 | 3375 | 0.0368 | 0.2542 | 0.1553 |
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- | 0.0011 | 10.0 | 3750 | 0.0379 | 0.2421 | 0.1426 |
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- | 0.0007 | 11.0 | 4125 | 0.0381 | 0.2521 | 0.1488 |
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- | 0.0006 | 12.0 | 4500 | 0.0381 | 0.2440 | 0.1433 |
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- | 0.0008 | 13.0 | 4875 | 0.0384 | 0.2785 | 0.1771 |
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- | 0.0005 | 14.0 | 5250 | 0.0381 | 0.2474 | 0.1511 |
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- | 0.0003 | 15.0 | 5625 | 0.0398 | 0.2356 | 0.1429 |
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- | 0.0002 | 16.0 | 6000 | 0.0393 | 0.2524 | 0.1552 |
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- | 0.0001 | 17.0 | 6375 | 0.0397 | 0.2287 | 0.1356 |
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- | 0.0 | 18.0 | 6750 | 0.0387 | 0.2368 | 0.1448 |
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- | 0.0001 | 19.0 | 7125 | 0.0396 | 0.2286 | 0.1359 |
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- | 0.0 | 20.0 | 7500 | 0.0397 | 0.2283 | 0.1360 |
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- | 0.0 | 21.0 | 7875 | 0.0397 | 0.2268 | 0.1371 |
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- | 0.0 | 22.0 | 8250 | 0.0398 | 0.2250 | 0.1372 |
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- | 0.0 | 23.0 | 8625 | 0.0399 | 0.2221 | 0.1334 |
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- | 0.0 | 24.0 | 9000 | 0.0393 | 0.2299 | 0.1428 |
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- | 0.0 | 25.0 | 9375 | 0.0400 | 0.2266 | 0.1370 |
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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: 0.0090
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+ - Wer: 0.1022
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+ - Cer: 0.0414
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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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+ | 0.0088 | 1.0 | 375 | 0.0076 | 0.0945 | 0.0386 |
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+ | 0.007 | 2.0 | 750 | 0.0109 | 0.1343 | 0.0498 |
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+ | 0.0039 | 3.0 | 1125 | 0.0115 | 0.1119 | 0.0385 |
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+ | 0.0026 | 4.0 | 1500 | 0.0125 | 0.1347 | 0.0570 |
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+ | 0.0016 | 5.0 | 1875 | 0.0133 | 0.1129 | 0.0410 |
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+ | 0.0014 | 6.0 | 2250 | 0.0134 | 0.1234 | 0.0461 |
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+ | 0.0014 | 7.0 | 2625 | 0.0131 | 0.1135 | 0.0397 |
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+ | 0.0013 | 8.0 | 3000 | 0.0137 | 0.1281 | 0.0523 |
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+ | 0.0011 | 9.0 | 3375 | 0.0135 | 0.1104 | 0.0383 |
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+ | 0.0007 | 10.0 | 3750 | 0.0142 | 0.1162 | 0.0425 |
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+ | 0.0005 | 11.0 | 4125 | 0.0139 | 0.1079 | 0.0391 |
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+ | 0.0004 | 12.0 | 4500 | 0.0134 | 0.1010 | 0.0409 |
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+ | 0.0005 | 13.0 | 4875 | 0.0150 | 0.1050 | 0.0379 |
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+ | 0.0005 | 14.0 | 5250 | 0.0161 | 0.1182 | 0.0460 |
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+ | 0.0003 | 15.0 | 5625 | 0.0149 | 0.1082 | 0.0390 |
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+ | 0.0001 | 16.0 | 6000 | 0.0154 | 0.1088 | 0.0379 |
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+ | 0.0001 | 17.0 | 6375 | 0.0156 | 0.1046 | 0.0362 |
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+ | 0.0001 | 18.0 | 6750 | 0.0148 | 0.1021 | 0.0357 |
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+ | 0.0 | 19.0 | 7125 | 0.0148 | 0.1010 | 0.0368 |
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+ | 0.0002 | 20.0 | 7500 | 0.0149 | 0.0995 | 0.0370 |
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+ | 0.0 | 21.0 | 7875 | 0.0149 | 0.1017 | 0.0374 |
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+ | 0.0 | 22.0 | 8250 | 0.0150 | 0.0988 | 0.0363 |
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+ | 0.0 | 23.0 | 8625 | 0.0150 | 0.0972 | 0.0356 |
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+ | 0.0 | 24.0 | 9000 | 0.0171 | 0.0999 | 0.0379 |
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+ | 0.0 | 25.0 | 9375 | 0.0151 | 0.0979 | 0.0362 |
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  ### Framework versions
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