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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
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  1. README.md +33 -33
  2. model.safetensors +1 -1
  3. runs/Jun07_15-19-51_6b66f5a934f0/events.out.tfevents.1749309595.6b66f5a934f0.19.0 +2 -2
  4. runs/Jun07_15-19-51_6b66f5a934f0/events.out.tfevents.1749349514.6b66f5a934f0.19.1 +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: 0.0024
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- - Wer: 0.0427
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- - Cer: 0.0209
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  ## Model description
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@@ -57,36 +57,36 @@ 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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- | 0.0084 | 1.0 | 513 | 0.0025 | 0.0357 | 0.0178 |
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- | 0.004 | 2.0 | 1026 | 0.0028 | 0.0478 | 0.0206 |
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- | 0.0014 | 3.0 | 1539 | 0.0035 | 0.0446 | 0.0200 |
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- | 0.0009 | 4.0 | 2052 | 0.0038 | 0.0447 | 0.0190 |
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- | 0.0009 | 5.0 | 2565 | 0.0043 | 0.0498 | 0.0213 |
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- | 0.0009 | 6.0 | 3078 | 0.0047 | 0.0567 | 0.0255 |
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- | 0.0007 | 7.0 | 3591 | 0.0046 | 0.0478 | 0.0245 |
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- | 0.0007 | 8.0 | 4104 | 0.0046 | 0.0517 | 0.0232 |
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- | 0.0006 | 9.0 | 4617 | 0.0051 | 0.0573 | 0.0236 |
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- | 0.0004 | 10.0 | 5130 | 0.0048 | 0.0490 | 0.0219 |
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- | 0.0002 | 11.0 | 5643 | 0.0051 | 0.0474 | 0.0204 |
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- | 0.0004 | 12.0 | 6156 | 0.0054 | 0.0525 | 0.0234 |
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- | 0.0002 | 13.0 | 6669 | 0.0058 | 0.0513 | 0.0244 |
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- | 0.0002 | 14.0 | 7182 | 0.0057 | 0.0554 | 0.0244 |
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- | 0.0003 | 15.0 | 7695 | 0.0058 | 0.0536 | 0.0225 |
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- | 0.0002 | 16.0 | 8208 | 0.0055 | 0.0500 | 0.0235 |
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- | 0.0 | 17.0 | 8721 | 0.0058 | 0.0511 | 0.0225 |
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- | 0.0002 | 18.0 | 9234 | 0.0057 | 0.0509 | 0.0225 |
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- | 0.0001 | 19.0 | 9747 | 0.0057 | 0.0542 | 0.0245 |
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- | 0.0001 | 20.0 | 10260 | 0.0055 | 0.0513 | 0.0218 |
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- | 0.0 | 21.0 | 10773 | 0.0058 | 0.0523 | 0.0222 |
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- | 0.0 | 22.0 | 11286 | 0.0058 | 0.0534 | 0.0235 |
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- | 0.0 | 23.0 | 11799 | 0.0060 | 0.0528 | 0.0248 |
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- | 0.0 | 24.0 | 12312 | 0.0058 | 0.0498 | 0.0212 |
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- | 0.0 | 25.0 | 12825 | 0.0059 | 0.0503 | 0.0212 |
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- | 0.0 | 26.0 | 13338 | 0.0060 | 0.0498 | 0.0213 |
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- | 0.0 | 27.0 | 13851 | 0.0060 | 0.0496 | 0.0216 |
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- | 0.0 | 28.0 | 14364 | 0.0060 | 0.0501 | 0.0218 |
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- | 0.0 | 29.0 | 14877 | 0.0059 | 0.0529 | 0.0235 |
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- | 0.0 | 29.9424 | 15360 | 0.0061 | 0.0496 | 0.0213 |
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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: 0.0023
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+ - Wer: 0.0430
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+ - Cer: 0.0191
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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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+ | 0.0056 | 1.0 | 513 | 0.0024 | 0.0434 | 0.0207 |
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+ | 0.0034 | 2.0 | 1026 | 0.0031 | 0.0442 | 0.0200 |
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+ | 0.0016 | 3.0 | 1539 | 0.0036 | 0.0496 | 0.0226 |
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+ | 0.0011 | 4.0 | 2052 | 0.0038 | 0.0486 | 0.0230 |
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+ | 0.0006 | 5.0 | 2565 | 0.0041 | 0.0478 | 0.0220 |
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+ | 0.001 | 6.0 | 3078 | 0.0045 | 0.0542 | 0.0243 |
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+ | 0.0009 | 7.0 | 3591 | 0.0043 | 0.0488 | 0.0202 |
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+ | 0.0006 | 8.0 | 4104 | 0.0046 | 0.0496 | 0.0227 |
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+ | 0.0005 | 9.0 | 4617 | 0.0047 | 0.0507 | 0.0232 |
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+ | 0.0005 | 10.0 | 5130 | 0.0052 | 0.0482 | 0.0210 |
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+ | 0.0005 | 11.0 | 5643 | 0.0050 | 0.0507 | 0.0236 |
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+ | 0.0003 | 12.0 | 6156 | 0.0047 | 0.0511 | 0.0237 |
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+ | 0.0005 | 13.0 | 6669 | 0.0048 | 0.0478 | 0.0209 |
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+ | 0.0002 | 14.0 | 7182 | 0.0046 | 0.0521 | 0.0243 |
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+ | 0.0001 | 15.0 | 7695 | 0.0053 | 0.0544 | 0.0265 |
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+ | 0.0002 | 16.0 | 8208 | 0.0051 | 0.0503 | 0.0236 |
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+ | 0.0001 | 17.0 | 8721 | 0.0053 | 0.0523 | 0.0242 |
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+ | 0.0001 | 18.0 | 9234 | 0.0048 | 0.0476 | 0.0209 |
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+ | 0.0 | 19.0 | 9747 | 0.0048 | 0.0480 | 0.0222 |
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+ | 0.0001 | 20.0 | 10260 | 0.0051 | 0.0486 | 0.0210 |
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+ | 0.0001 | 21.0 | 10773 | 0.0052 | 0.0488 | 0.0207 |
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+ | 0.0 | 22.0 | 11286 | 0.0052 | 0.0478 | 0.0207 |
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+ | 0.0 | 23.0 | 11799 | 0.0051 | 0.0488 | 0.0222 |
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+ | 0.0 | 24.0 | 12312 | 0.0051 | 0.0478 | 0.0215 |
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+ | 0.0 | 25.0 | 12825 | 0.0052 | 0.0469 | 0.0210 |
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+ | 0.0 | 26.0 | 13338 | 0.0052 | 0.0463 | 0.0211 |
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+ | 0.0 | 27.0 | 13851 | 0.0053 | 0.0465 | 0.0213 |
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+ | 0.0 | 28.0 | 14364 | 0.0053 | 0.0465 | 0.0212 |
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+ | 0.0 | 29.0 | 14877 | 0.0057 | 0.0503 | 0.0230 |
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+ | 0.0 | 29.9424 | 15360 | 0.0053 | 0.0465 | 0.0211 |
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  ### Framework versions
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