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: 0.0982
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- - Wer: 0.2127
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  ## Model description
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@@ -49,7 +47,7 @@ The following hyperparameters were used during training:
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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- - num_epochs: 17
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  - mixed_precision_training: Native AMP
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  ### Training results
@@ -115,6 +113,34 @@ The following hyperparameters were used during training:
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  | 1.2094 | 16.2466 | 22800 | 0.0941 | 0.2050 |
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  | 1.2505 | 16.5316 | 23200 | 0.0941 | 0.2003 |
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  | 1.1193 | 16.8167 | 23600 | 0.0942 | 0.1991 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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_CKP2
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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_CKP2
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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_CKP2
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+ This model is a fine-tuned version of [Baselhany/Distilation_Whisper_base_CKP2](https://huggingface.co/Baselhany/Distilation_Whisper_base_CKP2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0954
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+ - Wer: 0.2102
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  ## Model description
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 25
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  | 1.2094 | 16.2466 | 22800 | 0.0941 | 0.2050 |
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  | 1.2505 | 16.5316 | 23200 | 0.0941 | 0.2003 |
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  | 1.1193 | 16.8167 | 23600 | 0.0942 | 0.1991 |
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+ | 1.1992 | 17.1062 | 24000 | 0.0946 | 0.2020 |
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+ | 1.2794 | 17.3912 | 24400 | 0.0954 | 0.2118 |
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+ | 1.2362 | 17.6763 | 24800 | 0.0948 | 0.2025 |
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+ | 1.3528 | 17.9613 | 25200 | 0.0956 | 0.2070 |
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+ | 1.1863 | 18.2459 | 25600 | 0.0935 | 0.2037 |
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+ | 1.2936 | 18.5309 | 26000 | 0.0940 | 0.2032 |
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+ | 1.2434 | 18.8160 | 26400 | 0.0938 | 0.2029 |
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+ | 1.1254 | 19.1005 | 26800 | 0.0933 | 0.2026 |
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+ | 1.2345 | 19.3855 | 27200 | 0.0934 | 0.2009 |
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+ | 1.2177 | 19.6706 | 27600 | 0.0938 | 0.2037 |
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+ | 1.1479 | 19.9556 | 28000 | 0.0938 | 0.2007 |
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+ | 1.1077 | 20.2402 | 28400 | 0.0933 | 0.1995 |
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+ | 1.1615 | 20.5252 | 28800 | 0.0931 | 0.2025 |
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+ | 1.0642 | 20.8103 | 29200 | 0.0940 | 0.2045 |
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+ | 1.0922 | 21.0948 | 29600 | 0.0935 | 0.2011 |
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+ | 1.0885 | 21.3798 | 30000 | 0.0929 | 0.2010 |
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+ | 1.107 | 21.6649 | 30400 | 0.0930 | 0.1988 |
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+ | 1.0449 | 21.9499 | 30800 | 0.0931 | 0.2001 |
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+ | 1.033 | 22.2345 | 31200 | 0.0931 | 0.2048 |
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+ | 1.057 | 22.5195 | 31600 | 0.0932 | 0.1988 |
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+ | 1.0248 | 22.8046 | 32000 | 0.0929 | 0.2019 |
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+ | 0.9784 | 23.0891 | 32400 | 0.0927 | 0.1951 |
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+ | 1.0443 | 23.3741 | 32800 | 0.0927 | 0.1995 |
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+ | 0.9972 | 23.6592 | 33200 | 0.0923 | 0.1995 |
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+ | 1.0527 | 23.9442 | 33600 | 0.0930 | 0.1964 |
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+ | 0.9927 | 24.2288 | 34000 | 0.0927 | 0.1979 |
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+ | 0.9504 | 24.5138 | 34400 | 0.0927 | 0.1960 |
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+ | 1.0567 | 24.7989 | 34800 | 0.0925 | 0.1986 |
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  ### Framework versions
runs/May25_06-45-00_cb29d34e4ecc/events.out.tfevents.1748157451.cb29d34e4ecc.19.1 ADDED
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+ oid sha256:eaa965315360b60a7be72a74625c20cb3054a42d01402fd51f94345216b38fb0
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+ size 412