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: 0.1008
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- - Wer: 0.2032
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  ## Model description
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@@ -56,16 +54,16 @@ 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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- | 3.1172 | 1.0 | 625 | 0.0985 | 0.1957 |
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- | 2.4093 | 2.0 | 1250 | 0.0987 | 0.2019 |
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- | 1.9437 | 3.0 | 1875 | 0.0967 | 0.2126 |
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- | 1.732 | 4.0 | 2500 | 0.0941 | 0.2116 |
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- | 1.4735 | 5.0 | 3125 | 0.0941 | 0.2013 |
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- | 1.2948 | 6.0 | 3750 | 0.0926 | 0.2037 |
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- | 1.1899 | 7.0 | 4375 | 0.0914 | 0.2041 |
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- | 1.1467 | 8.0 | 5000 | 0.0910 | 0.2026 |
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- | 0.9954 | 9.0 | 5625 | 0.0913 | 0.2026 |
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- | 0.9689 | 10.0 | 6250 | 0.0910 | 0.2003 |
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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: 0.0947
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+ - Wer: 0.2014
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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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+ | 2.6367 | 1.0 | 625 | 0.0980 | 0.2019 |
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+ | 2.2651 | 2.0 | 1250 | 0.0974 | 0.2032 |
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+ | 1.7964 | 3.0 | 1875 | 0.0947 | 0.1954 |
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+ | 1.5614 | 4.0 | 2500 | 0.0938 | 0.1985 |
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+ | 1.4807 | 5.0 | 3125 | 0.0923 | 0.1939 |
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+ | 1.2621 | 6.0 | 3750 | 0.0912 | 0.1961 |
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+ | 1.1417 | 7.0 | 4375 | 0.0913 | 0.1961 |
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+ | 1.1042 | 8.0 | 5000 | 0.0912 | 0.2017 |
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+ | 0.9437 | 9.0 | 5625 | 0.0906 | 0.1947 |
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+ | 0.9389 | 10.0 | 6250 | 0.0905 | 0.2020 |
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  ### Framework versions
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