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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: 0.0955
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- - Wer: 0.2012
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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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- | 2.4056 | 1.0 | 313 | 0.0981 | 0.2034 |
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- | 2.413 | 2.0 | 626 | 0.0957 | 0.1978 |
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- | 1.9074 | 3.0 | 939 | 0.0975 | 0.2032 |
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- | 1.5982 | 4.0 | 1252 | 0.0961 | 0.1966 |
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- | 1.4477 | 5.0 | 1565 | 0.0950 | 0.2032 |
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- | 1.344 | 6.0 | 1878 | 0.0933 | 0.1951 |
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- | 1.1403 | 7.0 | 2191 | 0.0931 | 0.1944 |
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- | 1.0602 | 8.0 | 2504 | 0.0931 | 0.2007 |
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- | 1.0312 | 9.0 | 2817 | 0.0927 | 0.1947 |
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- | 0.9346 | 10.0 | 3130 | 0.0927 | 0.1927 |
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- | 0.8797 | 11.0 | 3443 | 0.0924 | 0.2006 |
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- | 0.8839 | 12.0 | 3756 | 0.0915 | 0.1964 |
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- | 0.8289 | 13.0 | 4069 | 0.0916 | 0.1929 |
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- | 0.7799 | 14.0 | 4382 | 0.0914 | 0.1973 |
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- | 0.7573 | 14.9536 | 4680 | 0.0914 | 0.1989 |
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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_Distilation_Whisper_base3
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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_Distilation_Whisper_base3
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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_Distilation_Whisper_base3
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+ This model is a fine-tuned version of [Baselhany/Graduation_Project_Distilation_Whisper_base3](https://huggingface.co/Baselhany/Graduation_Project_Distilation_Whisper_base3) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0954
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+ - Wer: 0.2010
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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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+ | 2.3079 | 1.0 | 313 | 0.0917 | 0.2065 |
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+ | 2.1753 | 2.0 | 626 | 0.0927 | 0.1955 |
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+ | 1.7907 | 3.0 | 939 | 0.0925 | 0.1986 |
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+ | 1.504 | 4.0 | 1252 | 0.0927 | 0.2017 |
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+ | 1.3552 | 5.0 | 1565 | 0.0926 | 0.1989 |
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+ | 1.2117 | 6.0 | 1878 | 0.0920 | 0.1933 |
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+ | 1.0949 | 7.0 | 2191 | 0.0910 | 0.1981 |
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+ | 0.9967 | 8.0 | 2504 | 0.0915 | 0.2006 |
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+ | 0.9329 | 9.0 | 2817 | 0.0920 | 0.1981 |
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+ | 0.8878 | 10.0 | 3130 | 0.0907 | 0.1997 |
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+ | 0.8541 | 11.0 | 3443 | 0.0903 | 0.2022 |
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+ | 0.7744 | 12.0 | 3756 | 0.0906 | 0.2007 |
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+ | 0.7645 | 13.0 | 4069 | 0.0900 | 0.1985 |
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+ | 0.7268 | 14.0 | 4382 | 0.0900 | 0.1995 |
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+ | 0.702 | 14.9536 | 4680 | 0.0900 | 0.1997 |
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  ### Framework versions
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