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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/Dec16_18-01-47_e9f34b668d58/events.out.tfevents.1734390233.e9f34b668d58.23.1 +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: 0.0712
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- - Wer: 0.2734
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- - Cer: 0.1522
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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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- | 0.0 | 0.9841 | 31 | 0.0708 | 0.2633 | 0.1470 |
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- | 0.0 | 2.0 | 63 | 0.0711 | 0.2659 | 0.1491 |
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- | 0.0 | 2.9841 | 94 | 0.0715 | 0.2710 | 0.1534 |
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- | 0.0 | 4.0 | 126 | 0.0720 | 0.2638 | 0.1460 |
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- | 0.0 | 4.9841 | 157 | 0.0725 | 0.2705 | 0.1505 |
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- | 0.0 | 6.0 | 189 | 0.0731 | 0.2968 | 0.1687 |
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- | 0.0 | 6.9841 | 220 | 0.0736 | 0.2856 | 0.1595 |
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- | 0.0 | 8.0 | 252 | 0.0741 | 0.2870 | 0.1604 |
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- | 0.0 | 8.9841 | 283 | 0.0745 | 0.2708 | 0.1485 |
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- | 0.0 | 10.0 | 315 | 0.0750 | 0.2717 | 0.1500 |
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- | 0.0 | 10.9841 | 346 | 0.0755 | 0.2777 | 0.1566 |
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- | 0.0 | 12.0 | 378 | 0.0759 | 0.2777 | 0.1579 |
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- | 0.0 | 12.9841 | 409 | 0.0763 | 0.2733 | 0.1534 |
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- | 0.0 | 14.0 | 441 | 0.0766 | 0.2691 | 0.1504 |
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- | 0.0 | 14.9841 | 472 | 0.0769 | 0.2831 | 0.1629 |
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- | 0.0 | 16.0 | 504 | 0.0773 | 0.2738 | 0.1512 |
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- | 0.0 | 16.9841 | 535 | 0.0776 | 0.2868 | 0.1643 |
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- | 0.0 | 18.0 | 567 | 0.0778 | 0.2798 | 0.1574 |
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- | 0.0 | 18.9841 | 598 | 0.0780 | 0.2763 | 0.1520 |
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- | 0.0 | 20.0 | 630 | 0.0781 | 0.2701 | 0.1483 |
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- | 0.0 | 20.9841 | 661 | 0.0782 | 0.2814 | 0.1574 |
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- | 0.0 | 22.0 | 693 | 0.0783 | 0.2768 | 0.1539 |
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- | 0.0 | 22.9841 | 724 | 0.0784 | 0.2705 | 0.1490 |
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- | 0.0 | 24.0 | 756 | 0.0788 | 0.2774 | 0.1563 |
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- | 0.0 | 24.6032 | 775 | 0.0784 | 0.2770 | 0.1550 |
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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: 0.0534
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+ - Wer: 0.2531
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+ - Cer: 0.1472
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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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+ | 0.0414 | 0.9968 | 156 | 0.0333 | 0.2962 | 0.1764 |
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+ | 0.0224 | 2.0 | 313 | 0.0308 | 0.2648 | 0.1568 |
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+ | 0.011 | 2.9968 | 469 | 0.0399 | 0.2968 | 0.1735 |
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+ | 0.0098 | 4.0 | 626 | 0.0433 | 0.3606 | 0.2108 |
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+ | 0.0077 | 4.9968 | 782 | 0.0448 | 0.3336 | 0.1946 |
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+ | 0.0046 | 6.0 | 939 | 0.0484 | 0.2924 | 0.1624 |
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+ | 0.0031 | 6.9968 | 1095 | 0.0469 | 0.2907 | 0.1607 |
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+ | 0.0013 | 8.0 | 1252 | 0.0463 | 0.2879 | 0.1635 |
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+ | 0.0008 | 8.9968 | 1408 | 0.0473 | 0.2663 | 0.1501 |
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+ | 0.0006 | 10.0 | 1565 | 0.0475 | 0.2666 | 0.1526 |
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+ | 0.0002 | 10.9968 | 1721 | 0.0475 | 0.2651 | 0.1537 |
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+ | 0.0001 | 12.0 | 1878 | 0.0479 | 0.2564 | 0.1507 |
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+ | 0.0 | 12.9968 | 2034 | 0.0480 | 0.2524 | 0.1459 |
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+ | 0.0001 | 14.0 | 2191 | 0.0487 | 0.2601 | 0.1534 |
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+ | 0.0 | 14.9968 | 2347 | 0.0488 | 0.2564 | 0.1454 |
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+ | 0.0 | 16.0 | 2504 | 0.0488 | 0.2541 | 0.1473 |
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+ | 0.0 | 16.9968 | 2660 | 0.0491 | 0.2496 | 0.1438 |
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+ | 0.0 | 18.0 | 2817 | 0.0492 | 0.2543 | 0.1471 |
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+ | 0.0 | 18.9968 | 2973 | 0.0493 | 0.2563 | 0.1489 |
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+ | 0.0 | 20.0 | 3130 | 0.0495 | 0.2476 | 0.1437 |
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+ | 0.0 | 20.9968 | 3286 | 0.0495 | 0.2480 | 0.1439 |
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+ | 0.0 | 22.0 | 3443 | 0.0496 | 0.2462 | 0.1420 |
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+ | 0.0 | 22.9968 | 3599 | 0.0497 | 0.2459 | 0.1415 |
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+ | 0.0 | 24.0 | 3756 | 0.0535 | 0.2542 | 0.1485 |
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+ | 0.0 | 24.9201 | 3900 | 0.0497 | 0.2476 | 0.1433 |
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  ### Framework versions
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