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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: 0.0041
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- - Wer: 0.0609
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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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- | 2.6359 | 1.0 | 469 | 0.0058 | 0.0668 |
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- | 1.9946 | 2.0 | 938 | 0.0061 | 0.0689 |
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- | 1.6395 | 3.0 | 1407 | 0.0057 | 0.0649 |
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- | 1.4336 | 4.0 | 1876 | 0.0056 | 0.0656 |
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- | 1.2021 | 5.0 | 2345 | 0.0054 | 0.0624 |
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- | 1.1073 | 6.0 | 2814 | 0.0056 | 0.0628 |
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- | 0.991 | 7.0 | 3283 | 0.0055 | 0.0621 |
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- | 0.889 | 8.0 | 3752 | 0.0054 | 0.0636 |
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- | 0.84 | 9.0 | 4221 | 0.0056 | 0.0658 |
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- | 0.7742 | 10.0 | 4690 | 0.0055 | 0.0636 |
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- | 0.688 | 11.0 | 5159 | 0.0055 | 0.0645 |
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- | 0.6349 | 12.0 | 5628 | 0.0054 | 0.0639 |
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- | 0.5932 | 13.0 | 6097 | 0.0054 | 0.0647 |
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- | 0.5378 | 14.0 | 6566 | 0.0055 | 0.0649 |
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- | 0.5533 | 14.9685 | 7020 | 0.0054 | 0.0641 |
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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_distillation_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: Graduation_Project_distillation_Whisper_base
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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_distillation_Whisper_base
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+ This model is a fine-tuned version of [Baselhany/Graduation_Project_distillation_Whisper_base](https://huggingface.co/Baselhany/Graduation_Project_distillation_Whisper_base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0040
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+ - Wer: 0.0584
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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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+ | 2.4566 | 1.0 | 469 | 0.0054 | 0.0643 |
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+ | 1.8089 | 2.0 | 938 | 0.0055 | 0.0607 |
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+ | 1.6333 | 3.0 | 1407 | 0.0054 | 0.0594 |
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+ | 1.3469 | 4.0 | 1876 | 0.0055 | 0.0639 |
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+ | 1.1481 | 5.0 | 2345 | 0.0053 | 0.0622 |
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+ | 0.9589 | 6.0 | 2814 | 0.0053 | 0.0672 |
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+ | 0.8766 | 7.0 | 3283 | 0.0052 | 0.0602 |
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+ | 0.8641 | 8.0 | 3752 | 0.0052 | 0.0626 |
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+ | 0.7951 | 9.0 | 4221 | 0.0053 | 0.0615 |
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+ | 0.7307 | 10.0 | 4690 | 0.0052 | 0.0605 |
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+ | 0.639 | 11.0 | 5159 | 0.0052 | 0.0617 |
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+ | 0.5802 | 12.0 | 5628 | 0.0052 | 0.0605 |
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+ | 0.5735 | 13.0 | 6097 | 0.0052 | 0.0628 |
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+ | 0.5273 | 14.0 | 6566 | 0.0052 | 0.0619 |
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+ | 0.4975 | 14.9685 | 7020 | 0.0052 | 0.0628 |
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  ### Framework versions
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