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: 0.0931
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- - Wer: 0.1960
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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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- | 1.8752 | 1.0 | 457 | 0.0914 | 0.2050 |
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- | 1.8589 | 2.0 | 914 | 0.0902 | 0.1879 |
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- | 1.4408 | 3.0 | 1371 | 0.0905 | 0.2060 |
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- | 1.3046 | 4.0 | 1828 | 0.0886 | 0.1908 |
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- | 1.1751 | 5.0 | 2285 | 0.0870 | 0.2003 |
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- | 1.0567 | 6.0 | 2742 | 0.0882 | 0.1955 |
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- | 0.9915 | 7.0 | 3199 | 0.0867 | 0.1950 |
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- | 0.91 | 8.0 | 3656 | 0.0875 | 0.2004 |
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- | 0.8595 | 9.0 | 4113 | 0.0858 | 0.2093 |
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- | 0.7878 | 10.0 | 4570 | 0.0863 | 0.2019 |
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- | 0.7881 | 11.0 | 5027 | 0.0854 | 0.1983 |
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- | 0.7512 | 12.0 | 5484 | 0.0853 | 0.2053 |
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- | 0.7167 | 13.0 | 5941 | 0.0853 | 0.2054 |
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- | 0.683 | 14.0 | 6398 | 0.0850 | 0.1995 |
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- | 0.6468 | 15.0 | 6855 | 0.0851 | 0.1986 |
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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/Distilation_Whisper_base_bigger_samples
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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: Distilation_Whisper_base_bigger_samples
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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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+ # Distilation_Whisper_base_bigger_samples
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+ This model is a fine-tuned version of [Baselhany/Distilation_Whisper_base_bigger_samples](https://huggingface.co/Baselhany/Distilation_Whisper_base_bigger_samples) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0892
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+ - Wer: 0.1918
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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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+ | 1.406 | 1.0 | 625 | 0.0887 | 0.1907 |
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+ | 1.3322 | 2.0 | 1250 | 0.0906 | 0.1874 |
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+ | 1.2587 | 3.0 | 1875 | 0.0903 | 0.1844 |
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+ | 1.1135 | 4.0 | 2500 | 0.0892 | 0.1954 |
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+ | 1.0444 | 5.0 | 3125 | 0.0879 | 0.1883 |
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+ | 0.9344 | 6.0 | 3750 | 0.0867 | 0.1802 |
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+ | 0.9135 | 7.0 | 4375 | 0.0874 | 0.1854 |
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+ | 0.8567 | 8.0 | 5000 | 0.0861 | 0.1882 |
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+ | 0.7738 | 9.0 | 5625 | 0.0857 | 0.1951 |
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+ | 0.7419 | 10.0 | 6250 | 0.0852 | 0.1958 |
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+ | 0.7167 | 11.0 | 6875 | 0.0854 | 0.1933 |
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+ | 0.6929 | 12.0 | 7500 | 0.0850 | 0.1874 |
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+ | 0.6539 | 13.0 | 8125 | 0.0847 | 0.1908 |
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+ | 0.6448 | 14.0 | 8750 | 0.0845 | 0.1883 |
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+ | 0.5887 | 15.0 | 9375 | 0.0846 | 0.1892 |
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  ### Framework versions
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