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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: 0.1257
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- - Wer: 0.3013
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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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- | 6.5463 | 1.0 | 469 | 0.1230 | 0.3954 |
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- | 5.2743 | 2.0 | 938 | 0.1311 | 0.3571 |
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- | 3.5152 | 3.0 | 1407 | 0.1228 | 0.3684 |
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- | 2.7744 | 4.0 | 1876 | 0.1212 | 0.3571 |
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- | 2.2344 | 5.0 | 2345 | 0.1207 | 0.3227 |
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- | 1.8514 | 6.0 | 2814 | 0.1217 | 0.3179 |
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- | 1.6307 | 7.0 | 3283 | 0.1182 | 0.3561 |
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- | 1.35 | 8.0 | 3752 | 0.1187 | 0.2904 |
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- | 1.3541 | 9.0 | 4221 | 0.1135 | 0.2999 |
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- | 1.2367 | 10.0 | 4690 | 0.1148 | 0.2886 |
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- | 1.1444 | 11.0 | 5159 | 0.1147 | 0.3009 |
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- | 0.9895 | 12.0 | 5628 | 0.1139 | 0.2882 |
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- | 0.9394 | 13.0 | 6097 | 0.1126 | 0.3167 |
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- | 0.9161 | 14.0 | 6566 | 0.1125 | 0.2967 |
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- | 0.8473 | 14.9685 | 7020 | 0.1130 | 0.2929 |
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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: 0.1193
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+ - Wer: 0.2854
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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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+ | 4.8765 | 1.0 | 532 | 0.1115 | 0.2851 |
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+ | 3.7912 | 2.0 | 1064 | 0.1127 | 0.2814 |
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+ | 2.8239 | 3.0 | 1596 | 0.1145 | 0.3149 |
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+ | 2.0315 | 4.0 | 2128 | 0.1117 | 0.2866 |
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+ | 1.9621 | 5.0 | 2660 | 0.1088 | 0.2773 |
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+ | 1.6395 | 6.0 | 3192 | 0.1074 | 0.2932 |
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+ | 1.4638 | 7.0 | 3724 | 0.1064 | 0.3039 |
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+ | 1.1268 | 8.0 | 4256 | 0.1040 | 0.2991 |
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+ | 1.0774 | 9.0 | 4788 | 0.1020 | 0.3124 |
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+ | 1.0211 | 10.0 | 5320 | 0.1031 | 0.2831 |
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+ | 0.9722 | 11.0 | 5852 | 0.1018 | 0.3242 |
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+ | 0.8684 | 12.0 | 6384 | 0.1028 | 0.2911 |
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+ | 0.808 | 13.0 | 6916 | 0.1037 | 0.3263 |
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+ | 0.7462 | 14.0 | 7448 | 0.1027 | 0.3302 |
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+ | 0.7689 | 14.9732 | 7965 | 0.1033 | 0.3184 |
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  ### Framework versions
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