Baselhany commited on
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README.md CHANGED
@@ -1,27 +1,25 @@
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  ---
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  library_name: transformers
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- language:
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- - ar
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  license: apache-2.0
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- base_model: openai/whisper-base
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  tags:
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  - generated_from_trainer
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  metrics:
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  - wer
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  model-index:
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- - name: Whisper base AR - BA
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # Whisper base AR - BA
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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: 0.1644
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- - Wer: 0.4013
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  ## Model description
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@@ -56,21 +54,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:------:|
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- | 1.5062 | 1.0 | 469 | 0.1365 | 0.4145 |
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- | 1.2268 | 2.0 | 938 | 0.1430 | 0.4963 |
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- | 0.6814 | 3.0 | 1407 | 0.1526 | 0.4872 |
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- | 0.4849 | 4.0 | 1876 | 0.1522 | 0.3948 |
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- | 0.3379 | 5.0 | 2345 | 0.1520 | 0.4234 |
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- | 0.2691 | 6.0 | 2814 | 0.1585 | 0.4744 |
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- | 0.231 | 7.0 | 3283 | 0.1544 | 0.4352 |
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- | 0.1715 | 8.0 | 3752 | 0.1512 | 0.4194 |
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- | 0.1562 | 9.0 | 4221 | 0.1479 | 0.4408 |
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- | 0.1139 | 10.0 | 4690 | 0.1480 | 0.4607 |
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- | 0.0995 | 11.0 | 5159 | 0.1464 | 0.4284 |
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- | 0.0822 | 12.0 | 5628 | 0.1478 | 0.4360 |
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- | 0.07 | 13.0 | 6097 | 0.1469 | 0.4590 |
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- | 0.0625 | 14.0 | 6566 | 0.1495 | 0.4352 |
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- | 0.0426 | 14.9685 | 7020 | 0.1503 | 0.4512 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
 
 
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  license: apache-2.0
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+ base_model: Baselhany/Graduation_Project_Distil_Whisper_base3
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  tags:
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  - generated_from_trainer
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  metrics:
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  - wer
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  model-index:
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+ - name: Graduation_Project_Distil_Whisper_base3
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # Graduation_Project_Distil_Whisper_base3
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+ This model is a fine-tuned version of [Baselhany/Graduation_Project_Distil_Whisper_base3](https://huggingface.co/Baselhany/Graduation_Project_Distil_Whisper_base3) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1698
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+ - Wer: 0.3720
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:------:|
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+ | 1.4782 | 1.0 | 520 | 0.1344 | 0.4069 |
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+ | 1.0405 | 2.0 | 1040 | 0.1495 | 0.4004 |
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+ | 0.5482 | 3.0 | 1560 | 0.1573 | 0.3436 |
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+ | 0.4041 | 4.0 | 2080 | 0.1587 | 0.4126 |
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+ | 0.3115 | 5.0 | 2600 | 0.1569 | 0.3798 |
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+ | 0.2612 | 6.0 | 3120 | 0.1515 | 0.4272 |
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+ | 0.187 | 7.0 | 3640 | 0.1577 | 0.3917 |
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+ | 0.1596 | 8.0 | 4160 | 0.1538 | 0.4334 |
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+ | 0.1465 | 9.0 | 4680 | 0.1497 | 0.3771 |
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+ | 0.1149 | 10.0 | 5200 | 0.1506 | 0.4192 |
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+ | 0.0935 | 11.0 | 5720 | 0.1465 | 0.3974 |
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+ | 0.0849 | 12.0 | 6240 | 0.1483 | 0.3979 |
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+ | 0.0686 | 13.0 | 6760 | 0.1472 | 0.4237 |
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+ | 0.0533 | 14.0 | 7280 | 0.1483 | 0.4251 |
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+ | 0.0382 | 14.9726 | 7785 | 0.1498 | 0.4302 |
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  ### Framework versions
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