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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: 0.1029
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- - Wer: 0.2133
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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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- | 2.6022 | 1.0 | 154 | 0.0981 | 0.2051 |
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- | 2.386 | 2.0 | 308 | 0.0994 | 0.2067 |
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- | 1.9412 | 3.0 | 462 | 0.0996 | 0.2022 |
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- | 1.824 | 4.0 | 616 | 0.0998 | 0.2045 |
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- | 1.6295 | 5.0 | 770 | 0.0976 | 0.2101 |
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- | 1.458 | 6.0 | 924 | 0.0982 | 0.2007 |
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- | 1.2992 | 7.0 | 1078 | 0.0959 | 0.2063 |
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- | 1.1839 | 8.0 | 1232 | 0.0971 | 0.2088 |
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- | 1.0944 | 9.0 | 1386 | 0.0954 | 0.2085 |
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- | 1.032 | 10.0 | 1540 | 0.0956 | 0.2104 |
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- | 0.9384 | 11.0 | 1694 | 0.0948 | 0.2026 |
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- | 0.8799 | 12.0 | 1848 | 0.0942 | 0.2053 |
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- | 0.8374 | 13.0 | 2002 | 0.0939 | 0.2062 |
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- | 0.7891 | 14.0 | 2156 | 0.0940 | 0.2065 |
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- | 0.7622 | 14.9070 | 2295 | 0.0940 | 0.2050 |
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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: 0.0968
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+ - Wer: 0.2056
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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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+ | 2.6772 | 1.0 | 313 | 0.0976 | 0.2039 |
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+ | 2.7575 | 2.0 | 626 | 0.0993 | 0.2048 |
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+ | 2.1854 | 3.0 | 939 | 0.0984 | 0.2095 |
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+ | 1.7975 | 4.0 | 1252 | 0.0973 | 0.2041 |
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+ | 1.5978 | 5.0 | 1565 | 0.0951 | 0.2011 |
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+ | 1.4537 | 6.0 | 1878 | 0.0954 | 0.1964 |
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+ | 1.2701 | 7.0 | 2191 | 0.0933 | 0.1942 |
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+ | 1.2116 | 8.0 | 2504 | 0.0944 | 0.1942 |
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+ | 1.1489 | 9.0 | 2817 | 0.0936 | 0.1941 |
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+ | 1.0855 | 10.0 | 3130 | 0.0937 | 0.2054 |
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+ | 0.9815 | 11.0 | 3443 | 0.0927 | 0.2009 |
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+ | 0.9388 | 12.0 | 3756 | 0.0927 | 0.1982 |
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+ | 0.8923 | 13.0 | 4069 | 0.0925 | 0.1991 |
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+ | 0.8333 | 14.0 | 4382 | 0.0928 | 0.1989 |
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+ | 0.8265 | 14.9536 | 4680 | 0.0925 | 0.1978 |
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  ### Framework versions
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