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: 0.1012
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- - Wer: 0.2172
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  ## Model description
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@@ -54,18 +52,18 @@ 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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- | 5.0409 | 1.0 | 779 | 0.1123 | 0.2352 |
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- | 3.6049 | 2.0 | 1558 | 0.1124 | 0.2283 |
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- | 2.9459 | 3.0 | 2337 | 0.1070 | 0.2162 |
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- | 2.5604 | 4.0 | 3116 | 0.1040 | 0.2219 |
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- | 2.1595 | 5.0 | 3895 | 0.1031 | 0.2151 |
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- | 1.8248 | 6.0 | 4674 | 0.1014 | 0.2129 |
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- | 1.634 | 7.0 | 5453 | 0.1004 | 0.2126 |
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- | 1.4769 | 8.0 | 6232 | 0.0976 | 0.2076 |
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- | 1.3527 | 9.0 | 7011 | 0.0972 | 0.2087 |
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- | 1.3084 | 9.9881 | 7780 | 0.0975 | 0.2060 |
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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: 0.0974
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+ - Wer: 0.2024
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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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+ | 3.3175 | 1.0 | 437 | 0.0987 | 0.2056 |
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+ | 2.8013 | 2.0 | 874 | 0.1030 | 0.2003 |
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+ | 2.3739 | 3.0 | 1311 | 0.0994 | 0.2039 |
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+ | 1.9894 | 4.0 | 1748 | 0.0976 | 0.2057 |
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+ | 1.6838 | 5.0 | 2185 | 0.0965 | 0.2041 |
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+ | 1.4452 | 6.0 | 2622 | 0.0948 | 0.2072 |
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+ | 1.3195 | 7.0 | 3059 | 0.0943 | 0.1995 |
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+ | 1.2454 | 8.0 | 3496 | 0.0939 | 0.1973 |
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+ | 1.1378 | 9.0 | 3933 | 0.0940 | 0.2042 |
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+ | 1.1007 | 10.0 | 4370 | 0.0938 | 0.2003 |
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  ### Framework versions
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