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: 0.0080
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- - Wer: 0.1098
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  ## Model description
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@@ -54,13 +52,13 @@ 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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- | 9.7696 | 1.0 | 469 | 0.0129 | 0.1532 |
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- | 7.3399 | 2.0 | 938 | 0.0124 | 0.1387 |
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- | 4.4737 | 3.0 | 1407 | 0.0116 | 0.1199 |
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- | 3.3516 | 4.0 | 1876 | 0.0104 | 0.1154 |
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- | 2.6044 | 4.9899 | 2340 | 0.0103 | 0.1131 |
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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_base222
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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_base222
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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_base222
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+ This model is a fine-tuned version of [Baselhany/Graduation_Project_distillation_Whisper_base222](https://huggingface.co/Baselhany/Graduation_Project_distillation_Whisper_base222) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0059
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+ - Wer: 0.0853
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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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+ | 7.0074 | 1.0 | 806 | 0.0099 | 0.1128 |
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+ | 4.3401 | 2.0 | 1612 | 0.0086 | 0.0961 |
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+ | 3.1733 | 3.0 | 2418 | 0.0079 | 0.0887 |
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+ | 2.4524 | 4.0 | 3224 | 0.0075 | 0.0838 |
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+ | 2.1232 | 5.0 | 4030 | 0.0074 | 0.0842 |
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  ### Framework versions
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