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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: 0.1110
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- - Wer: 0.3050
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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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- | 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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  ---
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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: 0.0990
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+ - Wer: 0.2159
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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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+ | 1.2808 | 1.0 | 469 | 0.0911 | 0.1987 |
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+ | 1.2043 | 2.0 | 938 | 0.0907 | 0.2443 |
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+ | 1.1643 | 3.0 | 1407 | 0.0868 | 0.2388 |
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+ | 1.1046 | 4.0 | 1876 | 0.0865 | 0.2072 |
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+ | 0.9272 | 5.0 | 2345 | 0.0836 | 0.2405 |
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+ | 0.8685 | 6.0 | 2814 | 0.0864 | 0.2215 |
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+ | 0.7479 | 7.0 | 3283 | 0.0834 | 0.2283 |
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+ | 0.7548 | 8.0 | 3752 | 0.0838 | 0.2247 |
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+ | 0.6979 | 9.0 | 4221 | 0.0834 | 0.2411 |
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+ | 0.6456 | 10.0 | 4690 | 0.0842 | 0.2218 |
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+ | 0.5806 | 11.0 | 5159 | 0.0840 | 0.2303 |
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+ | 0.5607 | 12.0 | 5628 | 0.0839 | 0.2410 |
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+ | 0.5147 | 13.0 | 6097 | 0.0832 | 0.2230 |
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+ | 0.4809 | 14.0 | 6566 | 0.0841 | 0.2258 |
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+ | 0.4531 | 14.9685 | 7020 | 0.0841 | 0.2375 |
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  ### Framework versions
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