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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_00-23-19_a1014f260460/events.out.tfevents.1738048784.a1014f260460.18.1 +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: 0.0152
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- - Wer: 0.0967
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- - Cer: 0.0379
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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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- | 0.0017 | 1.0 | 469 | 0.0106 | 0.0956 | 0.0363 |
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- | 0.0011 | 2.0 | 938 | 0.0111 | 0.0970 | 0.0371 |
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- | 0.0008 | 3.0 | 1407 | 0.0115 | 0.0976 | 0.0372 |
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- | 0.001 | 4.0 | 1876 | 0.0123 | 0.0974 | 0.0372 |
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- | 0.0004 | 5.0 | 2345 | 0.0128 | 0.0963 | 0.0367 |
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- | 0.0001 | 6.0 | 2814 | 0.0130 | 0.0939 | 0.0360 |
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- | 0.0004 | 7.0 | 3283 | 0.0135 | 0.0932 | 0.0348 |
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- | 0.0001 | 8.0 | 3752 | 0.0138 | 0.0929 | 0.0353 |
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- | 0.0 | 9.0 | 4221 | 0.0142 | 0.0914 | 0.0347 |
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- | 0.0 | 10.0 | 4690 | 0.0146 | 0.0919 | 0.0345 |
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- | 0.0 | 11.0 | 5159 | 0.0149 | 0.0929 | 0.0345 |
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- | 0.0 | 12.0 | 5628 | 0.0151 | 0.0936 | 0.0345 |
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- | 0.0 | 13.0 | 6097 | 0.0154 | 0.0929 | 0.0344 |
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- | 0.0 | 14.0 | 6566 | 0.0165 | 0.0946 | 0.0366 |
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- | 0.0 | 15.0 | 7035 | 0.0156 | 0.0934 | 0.0346 |
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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: 0.0125
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+ - Wer: 0.1057
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+ - Cer: 0.0420
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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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+ | 0.0116 | 1.0 | 469 | 0.0084 | 0.0929 | 0.0328 |
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+ | 0.0066 | 2.0 | 938 | 0.0075 | 0.0923 | 0.0344 |
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+ | 0.0058 | 3.0 | 1407 | 0.0074 | 0.0914 | 0.0346 |
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+ | 0.0041 | 4.0 | 1876 | 0.0077 | 0.0883 | 0.0336 |
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+ | 0.0043 | 5.0 | 2345 | 0.0082 | 0.0892 | 0.0330 |
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+ | 0.0028 | 6.0 | 2814 | 0.0089 | 0.0890 | 0.0344 |
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+ | 0.0024 | 7.0 | 3283 | 0.0094 | 0.0887 | 0.0329 |
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+ | 0.0011 | 8.0 | 3752 | 0.0099 | 0.0901 | 0.0341 |
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+ | 0.0015 | 9.0 | 4221 | 0.0104 | 0.0874 | 0.0316 |
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+ | 0.0017 | 10.0 | 4690 | 0.0108 | 0.0887 | 0.0336 |
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+ | 0.0005 | 11.0 | 5159 | 0.0111 | 0.0847 | 0.0307 |
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+ | 0.0003 | 12.0 | 5628 | 0.0113 | 0.0885 | 0.0331 |
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+ | 0.0003 | 13.0 | 6097 | 0.0115 | 0.0896 | 0.0333 |
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+ | 0.0005 | 14.0 | 6566 | 0.0131 | 0.1070 | 0.0423 |
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+ | 0.001 | 15.0 | 7035 | 0.0116 | 0.0900 | 0.0333 |
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  ### Framework versions
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