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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: 0.0685
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- - Wer: 0.2218
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  ## Model description
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@@ -54,23 +52,23 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.8881 | 1.0 | 540 | 0.0607 | 0.1950 |
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- | 0.6501 | 2.0 | 1080 | 0.0642 | 0.2325 |
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- | 0.5269 | 3.0 | 1620 | 0.0658 | 0.2265 |
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- | 0.3424 | 4.0 | 2160 | 0.0677 | 0.2203 |
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- | 0.2664 | 5.0 | 2700 | 0.0677 | 0.1974 |
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- | 0.2087 | 6.0 | 3240 | 0.0667 | 0.2167 |
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- | 0.1826 | 7.0 | 3780 | 0.0643 | 0.2270 |
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- | 0.1519 | 8.0 | 4320 | 0.0616 | 0.2032 |
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- | 0.1189 | 9.0 | 4860 | 0.0643 | 0.2147 |
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- | 0.1159 | 10.0 | 5400 | 0.0628 | 0.2208 |
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- | 0.0945 | 11.0 | 5940 | 0.0619 | 0.2163 |
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- | 0.0824 | 12.0 | 6480 | 0.0633 | 0.2123 |
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- | 0.0587 | 13.0 | 7020 | 0.0635 | 0.1992 |
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- | 0.0472 | 14.0 | 7560 | 0.0634 | 0.2065 |
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- | 0.0389 | 15.0 | 8100 | 0.0640 | 0.2010 |
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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_base2
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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_base2
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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_base2
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+ This model is a fine-tuned version of [Baselhany/Graduation_Project_distillation_Whisper_base2](https://huggingface.co/Baselhany/Graduation_Project_distillation_Whisper_base2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0043
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+ - Wer: 0.0657
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-------:|:----:|:---------------:|:------:|
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+ | 0.9953 | 1.0 | 469 | 0.0058 | 0.0730 |
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+ | 0.6498 | 2.0 | 938 | 0.0062 | 0.0757 |
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+ | 0.4318 | 3.0 | 1407 | 0.0063 | 0.0736 |
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+ | 0.3369 | 4.0 | 1876 | 0.0062 | 0.0776 |
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+ | 0.2486 | 5.0 | 2345 | 0.0060 | 0.0706 |
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+ | 0.2216 | 6.0 | 2814 | 0.0059 | 0.0725 |
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+ | 0.1827 | 7.0 | 3283 | 0.0057 | 0.0738 |
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+ | 0.1549 | 8.0 | 3752 | 0.0057 | 0.0670 |
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+ | 0.141 | 9.0 | 4221 | 0.0056 | 0.0694 |
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+ | 0.1165 | 10.0 | 4690 | 0.0055 | 0.0651 |
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+ | 0.0959 | 11.0 | 5159 | 0.0055 | 0.0708 |
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+ | 0.0797 | 12.0 | 5628 | 0.0055 | 0.0681 |
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+ | 0.0668 | 13.0 | 6097 | 0.0054 | 0.0668 |
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+ | 0.0466 | 14.0 | 6566 | 0.0054 | 0.0670 |
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+ | 0.0459 | 14.9685 | 7020 | 0.0055 | 0.0687 |
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  ### Framework versions
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