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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: 0.1094
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- - Wer: 0.3085
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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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- | 3.6308 | 0.9987 | 595 | 0.1030 | 0.2829 |
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- | 2.653 | 1.9987 | 1190 | 0.1033 | 0.2764 |
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- | 2.0618 | 2.9987 | 1785 | 0.1053 | 0.2763 |
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- | 1.6073 | 3.9987 | 2380 | 0.1087 | 0.3029 |
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- | 1.5376 | 4.9987 | 2975 | 0.1034 | 0.3090 |
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- | 1.2236 | 5.9987 | 3570 | 0.1001 | 0.2902 |
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- | 1.0811 | 6.9987 | 4165 | 0.1010 | 0.2768 |
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- | 1.0269 | 7.9987 | 4760 | 0.1003 | 0.3130 |
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- | 0.9971 | 8.9987 | 5355 | 0.0991 | 0.2864 |
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- | 0.9032 | 9.9987 | 5950 | 0.0996 | 0.3194 |
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- | 0.7539 | 10.9987 | 6545 | 0.1008 | 0.2734 |
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- | 0.7127 | 11.9987 | 7140 | 0.0985 | 0.2832 |
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- | 0.7146 | 12.9987 | 7735 | 0.0993 | 0.3050 |
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- | 0.6478 | 13.9987 | 8330 | 0.0994 | 0.2921 |
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- | 0.624 | 14.9987 | 8925 | 0.0997 | 0.2841 |
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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: 0.1110
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+ - Wer: 0.3050
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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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+ | 0.8981 | 0.9987 | 595 | 0.1005 | 0.2769 |
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+ | 1.0715 | 1.9987 | 1190 | 0.1005 | 0.2942 |
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+ | 1.0912 | 2.9987 | 1785 | 0.1027 | 0.2694 |
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+ | 0.9446 | 3.9987 | 2380 | 0.1042 | 0.3240 |
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+ | 0.9526 | 4.9987 | 2975 | 0.1000 | 0.2787 |
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+ | 0.8095 | 5.9987 | 3570 | 0.0987 | 0.3117 |
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+ | 0.7332 | 6.9987 | 4165 | 0.1001 | 0.2849 |
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+ | 0.7192 | 7.9987 | 4760 | 0.0980 | 0.3080 |
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+ | 0.7015 | 8.9987 | 5355 | 0.0985 | 0.3253 |
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+ | 0.6468 | 9.9987 | 5950 | 0.0977 | 0.2733 |
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+ | 0.5573 | 10.9987 | 6545 | 0.0983 | 0.2864 |
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+ | 0.525 | 11.9987 | 7140 | 0.0971 | 0.3080 |
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+ | 0.5262 | 12.9987 | 7735 | 0.0974 | 0.2743 |
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+ | 0.4819 | 13.9987 | 8330 | 0.0979 | 0.2801 |
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+ | 0.4658 | 14.9987 | 8925 | 0.0978 | 0.2971 |
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  ### Framework versions
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