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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: 0.0938
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- - Wer: 0.2026
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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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- | 2.1962 | 1.0 | 313 | 0.0929 | 0.2003 |
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- | 2.0129 | 2.0 | 626 | 0.0947 | 0.1961 |
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- | 1.6042 | 3.0 | 939 | 0.0931 | 0.1955 |
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- | 1.3954 | 4.0 | 1252 | 0.0918 | 0.1941 |
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- | 1.2988 | 5.0 | 1565 | 0.0920 | 0.1954 |
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- | 1.1324 | 6.0 | 1878 | 0.0915 | 0.1963 |
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- | 1.0341 | 7.0 | 2191 | 0.0908 | 0.1894 |
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- | 0.9912 | 8.0 | 2504 | 0.0913 | 0.1976 |
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- | 0.9009 | 9.0 | 2817 | 0.0905 | 0.1945 |
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- | 0.8638 | 10.0 | 3130 | 0.0896 | 0.1986 |
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- | 0.801 | 11.0 | 3443 | 0.0890 | 0.1948 |
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- | 0.7515 | 12.0 | 3756 | 0.0890 | 0.1919 |
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- | 0.7091 | 13.0 | 4069 | 0.0890 | 0.1914 |
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- | 0.6938 | 14.0 | 4382 | 0.0886 | 0.1948 |
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- | 0.6742 | 14.9536 | 4680 | 0.0886 | 0.1914 |
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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: 0.0928
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+ - Wer: 0.2043
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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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+ | 1.2944 | 1.0 | 313 | 0.0886 | 0.1967 |
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+ | 1.2819 | 2.0 | 626 | 0.0902 | 0.1923 |
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+ | 1.2752 | 3.0 | 939 | 0.0902 | 0.1986 |
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+ | 1.1425 | 4.0 | 1252 | 0.0915 | 0.1989 |
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+ | 1.0812 | 5.0 | 1565 | 0.0900 | 0.1914 |
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+ | 0.9708 | 6.0 | 1878 | 0.0900 | 0.1916 |
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+ | 0.9029 | 7.0 | 2191 | 0.0891 | 0.1985 |
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+ | 0.8248 | 8.0 | 2504 | 0.0896 | 0.1916 |
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+ | 0.7778 | 9.0 | 2817 | 0.0897 | 0.1941 |
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+ | 0.7485 | 10.0 | 3130 | 0.0890 | 0.1944 |
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+ | 0.7219 | 11.0 | 3443 | 0.0883 | 0.1961 |
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+ | 0.6584 | 12.0 | 3756 | 0.0889 | 0.1948 |
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+ | 0.6516 | 13.0 | 4069 | 0.0883 | 0.1951 |
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+ | 0.6233 | 14.0 | 4382 | 0.0882 | 0.1942 |
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+ | 0.6017 | 14.9536 | 4680 | 0.0883 | 0.1957 |
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  ### Framework versions
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