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Baselhany
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Graduation_Project_Whisper_tiny

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Inference Endpoints
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  1. README.md +18 -18
  2. model.safetensors +1 -1
  3. runs/Jan28_16-42-25_019797e79aa0/events.out.tfevents.1738107049.019797e79aa0.18.1 +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: 0.0094
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- - Wer: 0.0890
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- - Cer: 0.0345
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  ## Model description
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@@ -57,21 +57,21 @@ 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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- | 0.007 | 1.0 | 469 | 0.0077 | 0.0912 | 0.0333 |
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- | 0.0066 | 2.0 | 938 | 0.0070 | 0.0890 | 0.0329 |
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- | 0.0039 | 3.0 | 1407 | 0.0071 | 0.0867 | 0.0320 |
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- | 0.0038 | 4.0 | 1876 | 0.0075 | 0.0872 | 0.0332 |
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- | 0.0029 | 5.0 | 2345 | 0.0080 | 0.0854 | 0.0314 |
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- | 0.0013 | 6.0 | 2814 | 0.0086 | 0.0840 | 0.0317 |
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- | 0.002 | 7.0 | 3283 | 0.0089 | 0.0858 | 0.0313 |
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- | 0.0008 | 8.0 | 3752 | 0.0094 | 0.0843 | 0.0321 |
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- | 0.0012 | 9.0 | 4221 | 0.0099 | 0.0852 | 0.0318 |
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- | 0.0008 | 10.0 | 4690 | 0.0103 | 0.0854 | 0.0321 |
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- | 0.0009 | 11.0 | 5159 | 0.0107 | 0.0871 | 0.0325 |
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- | 0.0006 | 12.0 | 5628 | 0.0109 | 0.0860 | 0.0325 |
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- | 0.0007 | 13.0 | 6097 | 0.0111 | 0.1678 | 0.0709 |
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- | 0.0006 | 14.0 | 6566 | 0.0125 | 0.1149 | 0.0466 |
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- | 0.0004 | 15.0 | 7035 | 0.0113 | 0.1645 | 0.0699 |
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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: 0.0081
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+ - Wer: 0.0885
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+ - Cer: 0.0350
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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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+ | 0.007 | 1.0 | 469 | 0.0069 | 0.0927 | 0.0352 |
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+ | 0.0076 | 2.0 | 938 | 0.0065 | 0.0919 | 0.0353 |
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+ | 0.0036 | 3.0 | 1407 | 0.0065 | 0.0905 | 0.0350 |
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+ | 0.0041 | 4.0 | 1876 | 0.0068 | 0.0887 | 0.0340 |
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+ | 0.003 | 5.0 | 2345 | 0.0071 | 0.0876 | 0.0330 |
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+ | 0.003 | 6.0 | 2814 | 0.0076 | 0.0900 | 0.0358 |
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+ | 0.0024 | 7.0 | 3283 | 0.0080 | 0.0916 | 0.0349 |
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+ | 0.002 | 8.0 | 3752 | 0.0086 | 0.0889 | 0.0329 |
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+ | 0.0015 | 9.0 | 4221 | 0.0089 | 0.1674 | 0.0708 |
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+ | 0.0003 | 10.0 | 4690 | 0.0094 | 0.1690 | 0.0731 |
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+ | 0.0005 | 11.0 | 5159 | 0.0097 | 0.1658 | 0.0705 |
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+ | 0.0009 | 12.0 | 5628 | 0.0099 | 0.1669 | 0.0714 |
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+ | 0.0005 | 13.0 | 6097 | 0.0101 | 0.1672 | 0.0712 |
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+ | 0.0004 | 14.0 | 6566 | 0.0118 | 0.1017 | 0.0411 |
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+ | 0.0001 | 15.0 | 7035 | 0.0103 | 0.1660 | 0.0713 |
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  ### Framework versions
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