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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: 0.1114
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- - Wer: 0.3135
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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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- | 1.8753 | 1.0 | 532 | 0.0774 | 0.3595 |
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- | 1.3296 | 2.0 | 1064 | 0.0901 | 0.3060 |
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- | 0.8532 | 3.0 | 1596 | 0.1002 | 0.3340 |
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- | 0.5042 | 4.0 | 2128 | 0.0997 | 0.3020 |
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- | 0.4601 | 5.0 | 2660 | 0.1010 | 0.3423 |
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- | 0.3393 | 6.0 | 3192 | 0.0964 | 0.3556 |
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- | 0.2815 | 7.0 | 3724 | 0.0958 | 0.3432 |
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- | 0.186 | 8.0 | 4256 | 0.0986 | 0.3402 |
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- | 0.1725 | 9.0 | 4788 | 0.0944 | 0.3099 |
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- | 0.1525 | 10.0 | 5320 | 0.0904 | 0.3237 |
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- | 0.1349 | 11.0 | 5852 | 0.0904 | 0.3114 |
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- | 0.1098 | 12.0 | 6384 | 0.0888 | 0.3372 |
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- | 0.0903 | 13.0 | 6916 | 0.0920 | 0.3325 |
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- | 0.0671 | 14.0 | 7448 | 0.0923 | 0.3237 |
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- | 0.0654 | 14.9732 | 7965 | 0.0932 | 0.3167 |
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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: 0.1137
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+ - Wer: 0.3256
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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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+ | 1.4157 | 1.0 | 275 | 0.0839 | 0.3214 |
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+ | 1.1047 | 2.0 | 550 | 0.0873 | 0.3172 |
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+ | 0.5408 | 3.0 | 825 | 0.1022 | 0.3471 |
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+ | 0.3988 | 4.0 | 1100 | 0.0975 | 0.2972 |
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+ | 0.3348 | 5.0 | 1375 | 0.1039 | 0.2949 |
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+ | 0.2541 | 6.0 | 1650 | 0.1021 | 0.3119 |
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+ | 0.1971 | 7.0 | 1925 | 0.1060 | 0.2991 |
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+ | 0.1938 | 8.0 | 2200 | 0.0951 | 0.3087 |
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+ | 0.158 | 9.0 | 2475 | 0.0959 | 0.3255 |
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+ | 0.1181 | 10.0 | 2750 | 0.0950 | 0.3154 |
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+ | 0.1031 | 11.0 | 3025 | 0.0956 | 0.3250 |
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+ | 0.0729 | 12.0 | 3300 | 0.0944 | 0.3025 |
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+ | 0.0699 | 13.0 | 3575 | 0.0944 | 0.2977 |
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+ | 0.0508 | 14.0 | 3850 | 0.0958 | 0.3040 |
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+ | 0.0442 | 14.9463 | 4110 | 0.0966 | 0.3172 |
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  ### Framework versions
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