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Baselhany
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fine_tune_Whisper_tiny2

Automatic Speech Recognition
Transformers
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Safetensors
Arabic
whisper
Generated from Trainer
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  1. README.md +28 -14
  2. model.safetensors +1 -1
  3. runs/Jan16_22-05-52_aa15bb837bd9/events.out.tfevents.1737089095.aa15bb837bd9.18.1 +3 -0
README.md CHANGED
@@ -20,9 +20,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) 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: 0.0278
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- - Wer: 0.8483
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- - Cer: 0.4043
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  ## Model description
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@@ -57,17 +57,31 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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- | 0.0691 | 1.0 | 157 | 0.0645 | 4.6639 | 1.8253 |
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- | 0.0429 | 2.0 | 314 | 0.0408 | 1.8489 | 0.8577 |
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- | 0.0287 | 3.0 | 471 | 0.0332 | 2.3785 | 1.2099 |
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- | 0.0224 | 4.0 | 628 | 0.0293 | 1.3376 | 0.7609 |
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- | 0.012 | 5.0 | 785 | 0.0276 | 1.8050 | 0.9207 |
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- | 0.0098 | 6.0 | 942 | 0.0273 | 2.0293 | 1.0277 |
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- | 0.0076 | 7.0 | 1099 | 0.0272 | 1.1354 | 0.5388 |
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- | 0.0068 | 8.0 | 1256 | 0.0288 | 0.6950 | 0.3135 |
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- | 0.0042 | 9.0 | 1413 | 0.0292 | 0.9439 | 0.4304 |
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- | 0.003 | 10.0 | 1570 | 0.0290 | 1.5183 | 0.7840 |
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- | 0.0024 | 11.0 | 1727 | 0.0301 | 0.8514 | 0.3949 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) 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: 0.0304
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+ - Wer: 0.1538
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+ - Cer: 0.0502
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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+ | 0.0214 | 1.0 | 219 | 0.0198 | 0.2299 | 0.0689 |
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+ | 0.0165 | 2.0 | 438 | 0.0198 | 0.2304 | 0.0779 |
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+ | 0.012 | 3.0 | 657 | 0.0195 | 0.2326 | 0.0765 |
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+ | 0.0103 | 4.0 | 876 | 0.0188 | 0.2205 | 0.0719 |
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+ | 0.0062 | 5.0 | 1095 | 0.0191 | 0.1992 | 0.0635 |
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+ | 0.0049 | 6.0 | 1314 | 0.0198 | 0.2170 | 0.0737 |
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+ | 0.0034 | 7.0 | 1533 | 0.0209 | 0.2 | 0.0669 |
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+ | 0.0021 | 8.0 | 1752 | 0.0213 | 0.1937 | 0.0646 |
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+ | 0.0021 | 9.0 | 1971 | 0.0218 | 0.1998 | 0.0617 |
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+ | 0.0013 | 10.0 | 2190 | 0.0225 | 0.1891 | 0.0595 |
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+ | 0.0011 | 11.0 | 2409 | 0.0223 | 0.2074 | 0.0682 |
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+ | 0.0006 | 12.0 | 2628 | 0.0227 | 0.1884 | 0.0631 |
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+ | 0.0005 | 13.0 | 2847 | 0.0238 | 0.1817 | 0.0583 |
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+ | 0.0003 | 14.0 | 3066 | 0.0238 | 0.1763 | 0.0540 |
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+ | 0.0002 | 15.0 | 3285 | 0.0239 | 0.1744 | 0.0583 |
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+ | 0.0001 | 16.0 | 3504 | 0.0248 | 0.1795 | 0.0567 |
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+ | 0.0001 | 17.0 | 3723 | 0.0255 | 0.1727 | 0.0547 |
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+ | 0.0 | 18.0 | 3942 | 0.0254 | 0.1700 | 0.0538 |
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+ | 0.0 | 19.0 | 4161 | 0.0264 | 0.1723 | 0.0525 |
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+ | 0.0 | 20.0 | 4380 | 0.0266 | 0.1599 | 0.0536 |
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+ | 0.0 | 21.0 | 4599 | 0.0273 | 0.1625 | 0.0522 |
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+ | 0.0 | 22.0 | 4818 | 0.0286 | 0.1662 | 0.0545 |
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+ | 0.0 | 23.0 | 5037 | 0.0296 | 0.1560 | 0.0488 |
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+ | 0.0 | 24.0 | 5256 | 0.0309 | 0.1540 | 0.0473 |
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+ | 0.0 | 25.0 | 5475 | 0.0310 | 0.1543 | 0.0501 |
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  ### Framework versions
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runs/Jan16_22-05-52_aa15bb837bd9/events.out.tfevents.1737089095.aa15bb837bd9.18.1 ADDED
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