Baselhany commited on
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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: 0.1029
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- - Wer: 0.3160
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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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- | 1.298 | 1.0 | 579 | 0.0780 | 0.2768 |
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- | 0.9187 | 2.0 | 1158 | 0.0879 | 0.3235 |
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- | 0.4929 | 3.0 | 1737 | 0.0932 | 0.2956 |
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- | 0.3892 | 4.0 | 2316 | 0.0968 | 0.2999 |
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- | 0.301 | 5.0 | 2895 | 0.0927 | 0.2723 |
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- | 0.2307 | 6.0 | 3474 | 0.0923 | 0.2992 |
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- | 0.1771 | 7.0 | 4053 | 0.0900 | 0.2887 |
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- | 0.1545 | 8.0 | 4632 | 0.0874 | 0.2861 |
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- | 0.1433 | 9.0 | 5211 | 0.0856 | 0.3164 |
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- | 0.1278 | 10.0 | 5790 | 0.0852 | 0.2768 |
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- | 0.0916 | 11.0 | 6369 | 0.0868 | 0.2994 |
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- | 0.0825 | 12.0 | 6948 | 0.0837 | 0.2929 |
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- | 0.0747 | 13.0 | 7527 | 0.0859 | 0.3042 |
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- | 0.0545 | 14.0 | 8106 | 0.0870 | 0.2926 |
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- | 0.0443 | 14.9754 | 8670 | 0.0876 | 0.3090 |
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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: 0.1026
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+ - Wer: 0.2760
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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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+ | 1.2205 | 0.9987 | 595 | 0.0773 | 0.2691 |
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+ | 0.7481 | 1.9987 | 1190 | 0.0850 | 0.3144 |
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+ | 0.4781 | 2.9987 | 1785 | 0.0928 | 0.2558 |
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+ | 0.338 | 3.9987 | 2380 | 0.0905 | 0.2638 |
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+ | 0.2998 | 4.9987 | 2975 | 0.0881 | 0.3087 |
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+ | 0.1988 | 5.9987 | 3570 | 0.0934 | 0.2822 |
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+ | 0.155 | 6.9987 | 4165 | 0.0865 | 0.2979 |
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+ | 0.1536 | 7.9987 | 4760 | 0.0894 | 0.2806 |
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+ | 0.1456 | 8.9987 | 5355 | 0.0867 | 0.3210 |
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+ | 0.1205 | 9.9987 | 5950 | 0.0868 | 0.3017 |
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+ | 0.087 | 10.9987 | 6545 | 0.0880 | 0.2926 |
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+ | 0.0673 | 11.9987 | 7140 | 0.0859 | 0.2944 |
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+ | 0.0683 | 12.9987 | 7735 | 0.0887 | 0.2996 |
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+ | 0.0474 | 13.9987 | 8330 | 0.0876 | 0.2974 |
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+ | 0.0406 | 14.9987 | 8925 | 0.0886 | 0.2991 |
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  ### Framework versions
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