YoussefAshmawy commited on
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Training finished

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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-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: 0.0032
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- - Wer: 0.0519
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- - Cer: 0.0222
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  ## Model description
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@@ -55,38 +55,38 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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- |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
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- | 0.0059 | 1.0 | 375 | 0.0034 | 0.0498 | 0.0226 |
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- | 0.0019 | 2.0 | 750 | 0.0046 | 0.0545 | 0.0235 |
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- | 0.0013 | 3.0 | 1125 | 0.0056 | 0.0677 | 0.0288 |
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- | 0.0008 | 4.0 | 1500 | 0.0062 | 0.0762 | 0.0314 |
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- | 0.0006 | 5.0 | 1875 | 0.0065 | 0.0726 | 0.0311 |
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- | 0.0005 | 6.0 | 2250 | 0.0063 | 0.0702 | 0.0301 |
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- | 0.0004 | 7.0 | 2625 | 0.0075 | 0.0878 | 0.0408 |
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- | 0.0004 | 8.0 | 3000 | 0.0072 | 0.0706 | 0.0284 |
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- | 0.0005 | 9.0 | 3375 | 0.0074 | 0.0767 | 0.0321 |
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- | 0.0003 | 10.0 | 3750 | 0.0074 | 0.0757 | 0.0315 |
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- | 0.0003 | 11.0 | 4125 | 0.0077 | 0.0751 | 0.0330 |
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- | 0.0001 | 12.0 | 4500 | 0.0076 | 0.0708 | 0.0322 |
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- | 0.0002 | 13.0 | 4875 | 0.0082 | 0.0726 | 0.0307 |
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- | 0.0001 | 14.0 | 5250 | 0.0081 | 0.0813 | 0.0374 |
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- | 0.0002 | 15.0 | 5625 | 0.0085 | 0.0782 | 0.0317 |
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- | 0.0002 | 16.0 | 6000 | 0.0090 | 0.0842 | 0.0343 |
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- | 0.0 | 17.0 | 6375 | 0.0089 | 0.0804 | 0.0359 |
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- | 0.0 | 18.0 | 6750 | 0.0089 | 0.0787 | 0.0347 |
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- | 0.0 | 19.0 | 7125 | 0.0094 | 0.0744 | 0.0316 |
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- | 0.0001 | 20.0 | 7500 | 0.0100 | 0.0885 | 0.0399 |
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- | 0.0 | 21.0 | 7875 | 0.0098 | 0.0795 | 0.0360 |
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- | 0.0 | 22.0 | 8250 | 0.0099 | 0.0807 | 0.0370 |
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- | 0.0 | 23.0 | 8625 | 0.0100 | 0.0787 | 0.0353 |
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- | 0.0 | 24.0 | 9000 | 0.0102 | 0.0796 | 0.0366 |
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- | 0.0 | 25.0 | 9375 | 0.0103 | 0.0786 | 0.0358 |
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- | 0.0 | 26.0 | 9750 | 0.0103 | 0.0786 | 0.0359 |
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- | 0.0 | 27.0 | 10125 | 0.0104 | 0.0784 | 0.0359 |
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- | 0.0 | 28.0 | 10500 | 0.0104 | 0.0776 | 0.0355 |
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- | 0.0 | 29.0 | 10875 | 0.0100 | 0.0789 | 0.0353 |
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- | 0.0 | 30.0 | 11250 | 0.0105 | 0.0773 | 0.0353 |
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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 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0029
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+ - Wer: 0.0484
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+ - Cer: 0.0204
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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+ |:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
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+ | 0.0032 | 1.0 | 313 | 0.0029 | 0.0463 | 0.0195 |
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+ | 0.0009 | 2.0 | 626 | 0.0041 | 0.0547 | 0.0233 |
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+ | 0.0013 | 3.0 | 939 | 0.0048 | 0.0624 | 0.0229 |
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+ | 0.001 | 4.0 | 1252 | 0.0059 | 0.0614 | 0.0230 |
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+ | 0.0007 | 5.0 | 1565 | 0.0057 | 0.0677 | 0.0270 |
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+ | 0.0006 | 6.0 | 1878 | 0.0066 | 0.0708 | 0.0265 |
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+ | 0.0003 | 7.0 | 2191 | 0.0061 | 0.0688 | 0.0261 |
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+ | 0.0003 | 8.0 | 2504 | 0.0067 | 0.0717 | 0.0285 |
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+ | 0.0002 | 9.0 | 2817 | 0.0062 | 0.0684 | 0.0249 |
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+ | 0.0005 | 10.0 | 3130 | 0.0066 | 0.0686 | 0.0265 |
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+ | 0.0001 | 11.0 | 3443 | 0.0069 | 0.0720 | 0.0283 |
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+ | 0.0006 | 12.0 | 3756 | 0.0062 | 0.0758 | 0.0269 |
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+ | 0.0 | 13.0 | 4069 | 0.0064 | 0.0675 | 0.0276 |
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+ | 0.0 | 14.0 | 4382 | 0.0071 | 0.0664 | 0.0258 |
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+ | 0.0 | 15.0 | 4695 | 0.0068 | 0.0671 | 0.0260 |
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+ | 0.0 | 16.0 | 5008 | 0.0072 | 0.0657 | 0.0252 |
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+ | 0.0 | 17.0 | 5321 | 0.0074 | 0.0650 | 0.0262 |
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+ | 0.0 | 18.0 | 5634 | 0.0075 | 0.0657 | 0.0270 |
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+ | 0.0 | 19.0 | 5947 | 0.0076 | 0.0659 | 0.0271 |
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+ | 0.0 | 20.0 | 6260 | 0.0076 | 0.0644 | 0.0258 |
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+ | 0.0 | 21.0 | 6573 | 0.0077 | 0.0643 | 0.0259 |
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+ | 0.0 | 22.0 | 6886 | 0.0077 | 0.0635 | 0.0255 |
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+ | 0.0 | 23.0 | 7199 | 0.0078 | 0.0635 | 0.0255 |
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+ | 0.0 | 24.0 | 7512 | 0.0078 | 0.0633 | 0.0255 |
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+ | 0.0 | 25.0 | 7825 | 0.0079 | 0.0635 | 0.0255 |
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+ | 0.0 | 26.0 | 8138 | 0.0079 | 0.0637 | 0.0256 |
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+ | 0.0 | 27.0 | 8451 | 0.0079 | 0.0635 | 0.0255 |
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+ | 0.0 | 28.0 | 8764 | 0.0079 | 0.0632 | 0.0256 |
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+ | 0.0 | 29.0 | 9077 | 0.0075 | 0.0617 | 0.0251 |
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+ | 0.0 | 29.9056 | 9360 | 0.0080 | 0.0633 | 0.0256 |
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  ### Framework versions
generation_config.json CHANGED
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  "is_multilingual": true,
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  "lang_to_id": {
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  "bos_token_id": 50257,
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  "decoder_start_token_id": 50258,
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  "eos_token_id": 50257,
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  "is_multilingual": true,
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