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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: 0.1229
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- - Wer: 0.2739
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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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- | 3.6759 | 1.0 | 275 | 0.1109 | 0.2857 |
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- | 3.1436 | 2.0 | 550 | 0.1130 | 0.2909 |
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- | 2.0347 | 3.0 | 825 | 0.1128 | 0.2501 |
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- | 1.8977 | 4.0 | 1100 | 0.1071 | 0.2746 |
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- | 1.6541 | 5.0 | 1375 | 0.1085 | 0.3029 |
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- | 1.3788 | 6.0 | 1650 | 0.1055 | 0.2784 |
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- | 1.1847 | 7.0 | 1925 | 0.1073 | 0.2897 |
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- | 1.1096 | 8.0 | 2200 | 0.1057 | 0.2987 |
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- | 0.9934 | 9.0 | 2475 | 0.1037 | 0.3070 |
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- | 0.8838 | 10.0 | 2750 | 0.1072 | 0.2912 |
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- | 0.8502 | 11.0 | 3025 | 0.1039 | 0.3032 |
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- | 0.7249 | 12.0 | 3300 | 0.1053 | 0.3230 |
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- | 0.6989 | 13.0 | 3575 | 0.1050 | 0.2936 |
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- | 0.6611 | 14.0 | 3850 | 0.1048 | 0.3020 |
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- | 0.6441 | 14.9463 | 4110 | 0.1048 | 0.3039 |
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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: 0.1236
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+ - Wer: 0.2818
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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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+ | 3.693 | 1.0 | 579 | 0.1093 | 0.2721 |
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+ | 2.8973 | 2.0 | 1158 | 0.1131 | 0.2709 |
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+ | 2.0253 | 3.0 | 1737 | 0.1094 | 0.2857 |
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+ | 1.7712 | 4.0 | 2316 | 0.1067 | 0.2926 |
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+ | 1.5636 | 5.0 | 2895 | 0.1012 | 0.2934 |
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+ | 1.2933 | 6.0 | 3474 | 0.1008 | 0.2786 |
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+ | 1.136 | 7.0 | 4053 | 0.1007 | 0.2882 |
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+ | 1.0353 | 8.0 | 4632 | 0.0986 | 0.2902 |
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+ | 0.9756 | 9.0 | 5211 | 0.0980 | 0.2832 |
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+ | 0.9362 | 10.0 | 5790 | 0.0980 | 0.2839 |
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+ | 0.8063 | 11.0 | 6369 | 0.0990 | 0.2861 |
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+ | 0.7576 | 12.0 | 6948 | 0.0986 | 0.2892 |
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+ | 0.7515 | 13.0 | 7527 | 0.0991 | 0.3025 |
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+ | 0.6762 | 14.0 | 8106 | 0.0985 | 0.2954 |
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+ | 0.6486 | 14.9754 | 8670 | 0.0987 | 0.2957 |
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  ### Framework versions
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