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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 (legacy)
Model card Files
xet
Metrics Community
YoussefAshmawy commited on
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Training finished

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  1. README.md +57 -44
  2. model.safetensors +1 -1
  3. runs/Dec14_17-42-52_8cea26388ef9/events.out.tfevents.1734239408.8cea26388ef9.23.1 +3 -0
README.md CHANGED
@@ -20,8 +20,8 @@ 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: 0.0805
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- - Wer: 0.2980
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  ## Model description
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@@ -54,48 +54,61 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer |
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- |:-------------:|:------:|:----:|:---------------:|:------:|
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- | 0.0604 | 0.625 | 100 | 0.0634 | 0.4079 |
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- | 0.0293 | 1.25 | 200 | 0.0594 | 0.3206 |
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- | 0.0358 | 1.875 | 300 | 0.0553 | 0.3651 |
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- | 0.0215 | 2.5 | 400 | 0.0611 | 0.3698 |
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- | 0.0203 | 3.125 | 500 | 0.0712 | 0.5044 |
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- | 0.025 | 3.75 | 600 | 0.0674 | 0.4716 |
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- | 0.0099 | 4.375 | 700 | 0.0738 | 0.3757 |
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- | 0.0118 | 5.0 | 800 | 0.0726 | 0.3868 |
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- | 0.0069 | 5.625 | 900 | 0.0738 | 0.3961 |
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- | 0.0053 | 6.25 | 1000 | 0.0735 | 0.3327 |
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- | 0.0066 | 6.875 | 1100 | 0.0765 | 0.3596 |
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- | 0.0026 | 7.5 | 1200 | 0.0755 | 0.3642 |
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- | 0.003 | 8.125 | 1300 | 0.0792 | 0.3654 |
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- | 0.0023 | 8.75 | 1400 | 0.0779 | 0.3496 |
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- | 0.0027 | 9.375 | 1500 | 0.0798 | 0.3407 |
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- | 0.0024 | 10.0 | 1600 | 0.0774 | 0.3420 |
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- | 0.0008 | 10.625 | 1700 | 0.0767 | 0.3425 |
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- | 0.0005 | 11.25 | 1800 | 0.0765 | 0.3533 |
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- | 0.0004 | 11.875 | 1900 | 0.0793 | 0.3187 |
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- | 0.0002 | 12.5 | 2000 | 0.0775 | 0.3371 |
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- | 0.0001 | 13.125 | 2100 | 0.0789 | 0.3268 |
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- | 0.0002 | 13.75 | 2200 | 0.0784 | 0.3295 |
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- | 0.0 | 14.375 | 2300 | 0.0787 | 0.3142 |
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- | 0.0001 | 15.0 | 2400 | 0.0800 | 0.3081 |
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- | 0.0001 | 15.625 | 2500 | 0.0795 | 0.3105 |
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- | 0.0 | 16.25 | 2600 | 0.0791 | 0.3143 |
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- | 0.0 | 16.875 | 2700 | 0.0805 | 0.3158 |
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- | 0.0 | 17.5 | 2800 | 0.0806 | 0.3141 |
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- | 0.0001 | 18.125 | 2900 | 0.0800 | 0.3014 |
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- | 0.0 | 18.75 | 3000 | 0.0798 | 0.3165 |
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- | 0.0 | 19.375 | 3100 | 0.0801 | 0.3012 |
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- | 0.0 | 20.0 | 3200 | 0.0805 | 0.2980 |
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- | 0.0 | 20.625 | 3300 | 0.0807 | 0.2963 |
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- | 0.0 | 21.25 | 3400 | 0.0807 | 0.3027 |
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- | 0.0 | 21.875 | 3500 | 0.0808 | 0.3020 |
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- | 0.0 | 22.5 | 3600 | 0.0809 | 0.3006 |
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- | 0.0 | 23.125 | 3700 | 0.0810 | 0.3002 |
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- | 0.0 | 23.75 | 3800 | 0.0810 | 0.3055 |
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- | 0.0 | 24.375 | 3900 | 0.0810 | 0.3017 |
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- | 0.0 | 25.0 | 4000 | 0.0810 | 0.3008 |
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 0.0479
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+ - Wer: 0.2408
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-------:|:----:|:---------------:|:------:|
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+ | 0.0498 | 0.4651 | 100 | 0.0378 | 0.3465 |
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+ | 0.0397 | 0.9302 | 200 | 0.0313 | 0.2965 |
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+ | 0.0235 | 1.3953 | 300 | 0.0323 | 0.2712 |
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+ | 0.0342 | 1.8605 | 400 | 0.0337 | 0.2919 |
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+ | 0.0151 | 2.3256 | 500 | 0.0428 | 0.2779 |
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+ | 0.0206 | 2.7907 | 600 | 0.0382 | 0.3221 |
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+ | 0.0115 | 3.2558 | 700 | 0.0414 | 0.3213 |
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+ | 0.0126 | 3.7209 | 800 | 0.0435 | 0.3636 |
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+ | 0.0075 | 4.1860 | 900 | 0.0425 | 0.2909 |
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+ | 0.0071 | 4.6512 | 1000 | 0.0439 | 0.3039 |
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+ | 0.0049 | 5.1163 | 1100 | 0.0442 | 0.2731 |
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+ | 0.0047 | 5.5814 | 1200 | 0.0443 | 0.3161 |
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+ | 0.0047 | 6.0465 | 1300 | 0.0452 | 0.2933 |
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+ | 0.0027 | 6.5116 | 1400 | 0.0459 | 0.2898 |
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+ | 0.004 | 6.9767 | 1500 | 0.0456 | 0.2771 |
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+ | 0.0017 | 7.4419 | 1600 | 0.0463 | 0.2482 |
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+ | 0.0018 | 7.9070 | 1700 | 0.0458 | 0.2818 |
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+ | 0.0016 | 8.3721 | 1800 | 0.0464 | 0.2523 |
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+ | 0.0014 | 8.8372 | 1900 | 0.0460 | 0.2621 |
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+ | 0.0012 | 9.3023 | 2000 | 0.0474 | 0.2606 |
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+ | 0.0009 | 9.7674 | 2100 | 0.0473 | 0.2575 |
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+ | 0.0008 | 10.2326 | 2200 | 0.0479 | 0.2723 |
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+ | 0.0008 | 10.6977 | 2300 | 0.0469 | 0.2710 |
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+ | 0.0007 | 11.1628 | 2400 | 0.0488 | 0.2773 |
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+ | 0.0008 | 11.6279 | 2500 | 0.0481 | 0.2507 |
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+ | 0.0006 | 12.0930 | 2600 | 0.0481 | 0.2632 |
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+ | 0.0007 | 12.5581 | 2700 | 0.0496 | 0.2586 |
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+ | 0.0003 | 13.0233 | 2800 | 0.0477 | 0.2646 |
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+ | 0.0003 | 13.4884 | 2900 | 0.0484 | 0.2455 |
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+ | 0.0003 | 13.9535 | 3000 | 0.0476 | 0.2496 |
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+ | 0.0003 | 14.4186 | 3100 | 0.0485 | 0.2487 |
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+ | 0.0001 | 14.8837 | 3200 | 0.0483 | 0.2474 |
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+ | 0.0002 | 15.3488 | 3300 | 0.0484 | 0.2468 |
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+ | 0.0002 | 15.8140 | 3400 | 0.0484 | 0.2469 |
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+ | 0.0001 | 16.2791 | 3500 | 0.0485 | 0.2448 |
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+ | 0.0 | 16.7442 | 3600 | 0.0479 | 0.2408 |
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+ | 0.0001 | 17.2093 | 3700 | 0.0481 | 0.2554 |
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+ | 0.0 | 17.6744 | 3800 | 0.0482 | 0.2505 |
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+ | 0.0 | 18.1395 | 3900 | 0.0482 | 0.2501 |
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+ | 0.0 | 18.6047 | 4000 | 0.0483 | 0.2480 |
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+ | 0.0 | 19.0698 | 4100 | 0.0484 | 0.2431 |
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+ | 0.0 | 19.5349 | 4200 | 0.0485 | 0.2470 |
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+ | 0.0 | 20.0 | 4300 | 0.0486 | 0.2447 |
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+ | 0.0 | 20.4651 | 4400 | 0.0486 | 0.2461 |
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+ | 0.0 | 20.9302 | 4500 | 0.0487 | 0.2539 |
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+ | 0.0 | 21.3953 | 4600 | 0.0488 | 0.2482 |
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+ | 0.0 | 21.8605 | 4700 | 0.0488 | 0.2505 |
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+ | 0.0 | 22.3256 | 4800 | 0.0488 | 0.2482 |
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+ | 0.0 | 22.7907 | 4900 | 0.0489 | 0.2487 |
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+ | 0.0 | 23.2558 | 5000 | 0.0489 | 0.2494 |
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+ | 0.0 | 23.7209 | 5100 | 0.0489 | 0.2525 |
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+ | 0.0 | 24.1860 | 5200 | 0.0489 | 0.2479 |
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+ | 0.0 | 24.6512 | 5300 | 0.0490 | 0.2440 |
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  ### Framework versions
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