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Baselhany
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Graduation_Project_Whisper_base_with_segments

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Inference Endpoints
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  1. README.md +24 -11
  2. model.safetensors +1 -1
  3. runs/Dec13_09-53-54_906573289bb4/events.out.tfevents.1734097861.906573289bb4.24.1 +3 -0
README.md CHANGED
@@ -20,8 +20,8 @@ should probably proofread and complete it, then remove this comment. -->
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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-segments dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0162
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- - Wer: 0.2193
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  ## Model description
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@@ -54,15 +54,28 @@ 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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- | 0.0163 | 2.6667 | 100 | 0.0165 | 0.2207 |
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- | 0.0081 | 5.3333 | 200 | 0.0153 | 0.2286 |
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- | 0.0037 | 8.0 | 300 | 0.0154 | 0.2295 |
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- | 0.0005 | 10.6667 | 400 | 0.0162 | 0.2193 |
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- | 0.0001 | 13.3333 | 500 | 0.0177 | 0.2220 |
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- | 0.0 | 16.0 | 600 | 0.0193 | 0.2193 |
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- | 0.0 | 18.6667 | 700 | 0.0207 | 0.2127 |
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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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-segments dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0253
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+ - Wer: 0.1830
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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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+ | 0.0158 | 1.0 | 100 | 0.0179 | 0.2185 |
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+ | 0.0131 | 2.0 | 200 | 0.0161 | 0.2154 |
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+ | 0.0105 | 3.0 | 300 | 0.0148 | 0.2059 |
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+ | 0.0066 | 4.0 | 400 | 0.0144 | 0.2011 |
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+ | 0.0046 | 5.0 | 500 | 0.0145 | 0.2011 |
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+ | 0.0021 | 6.0 | 600 | 0.0150 | 0.1985 |
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+ | 0.0012 | 7.0 | 700 | 0.0154 | 0.1945 |
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+ | 0.0004 | 8.0 | 800 | 0.0161 | 0.1890 |
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+ | 0.0002 | 9.0 | 900 | 0.0169 | 0.1894 |
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+ | 0.0001 | 10.0 | 1000 | 0.0177 | 0.1899 |
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+ | 0.0 | 11.0 | 1100 | 0.0185 | 0.1842 |
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+ | 0.0 | 12.0 | 1200 | 0.0193 | 0.1850 |
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+ | 0.0 | 13.0 | 1300 | 0.0203 | 0.1839 |
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+ | 0.0 | 14.0 | 1400 | 0.0214 | 0.1844 |
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+ | 0.0 | 15.0 | 1500 | 0.0224 | 0.1804 |
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+ | 0.0 | 16.0 | 1600 | 0.0234 | 0.1833 |
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+ | 0.0 | 17.0 | 1700 | 0.0243 | 0.1818 |
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+ | 0.0 | 18.0 | 1800 | 0.0253 | 0.1830 |
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+ | 0.0 | 19.0 | 1900 | 0.0259 | 0.1854 |
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+ | 0.0 | 20.0 | 2000 | 0.0261 | 0.1854 |
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  ### Framework versions
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runs/Dec13_09-53-54_906573289bb4/events.out.tfevents.1734097861.906573289bb4.24.1 ADDED
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