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Graduation_Project_Whisper_base_segment

Automatic Speech Recognition
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Arabic
whisper
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  1. README.md +28 -28
  2. model.safetensors +1 -1
  3. runs/Apr29_14-22-05_f769b11321c3/events.out.tfevents.1745936528.f769b11321c3.19.0 +2 -2
  4. runs/Apr29_14-22-05_f769b11321c3/events.out.tfevents.1745976627.f769b11321c3.19.1 +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-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: 0.0037
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- - Wer: 0.0528
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- - Cer: 0.0213
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  ## Model description
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@@ -57,31 +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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- | 0.0061 | 1.0 | 282 | 0.0036 | 0.0474 | 0.0188 |
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- | 0.0039 | 2.0 | 564 | 0.0040 | 0.0552 | 0.0217 |
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- | 0.0021 | 3.0 | 846 | 0.0047 | 0.0563 | 0.0222 |
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- | 0.0011 | 4.0 | 1128 | 0.0055 | 0.0579 | 0.0200 |
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- | 0.0008 | 5.0 | 1410 | 0.0058 | 0.0579 | 0.0225 |
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- | 0.0007 | 6.0 | 1692 | 0.0061 | 0.0572 | 0.0194 |
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- | 0.0006 | 7.0 | 1974 | 0.0063 | 0.0576 | 0.0208 |
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- | 0.0005 | 8.0 | 2256 | 0.0063 | 0.0664 | 0.0246 |
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- | 0.0003 | 9.0 | 2538 | 0.0077 | 0.0715 | 0.0254 |
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- | 0.0003 | 10.0 | 2820 | 0.0074 | 0.0666 | 0.0256 |
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- | 0.0004 | 11.0 | 3102 | 0.0075 | 0.0626 | 0.0244 |
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- | 0.0001 | 12.0 | 3384 | 0.0083 | 0.0617 | 0.0234 |
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- | 0.0002 | 13.0 | 3666 | 0.0083 | 0.0655 | 0.0228 |
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- | 0.0001 | 14.0 | 3948 | 0.0100 | 0.0617 | 0.0219 |
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- | 0.0001 | 15.0 | 4230 | 0.0109 | 0.0648 | 0.0224 |
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- | 0.0001 | 16.0 | 4512 | 0.0113 | 0.0610 | 0.0196 |
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- | 0.0 | 17.0 | 4794 | 0.0120 | 0.0612 | 0.0212 |
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- | 0.0001 | 18.0 | 5076 | 0.0127 | 0.0601 | 0.0220 |
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- | 0.0 | 19.0 | 5358 | 0.0134 | 0.0581 | 0.0208 |
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- | 0.0 | 20.0 | 5640 | 0.0135 | 0.0597 | 0.0226 |
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- | 0.0 | 21.0 | 5922 | 0.0134 | 0.0570 | 0.0205 |
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- | 0.0 | 22.0 | 6204 | 0.0133 | 0.0579 | 0.0209 |
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- | 0.0 | 23.0 | 6486 | 0.0133 | 0.0577 | 0.0208 |
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- | 0.0 | 24.0 | 6768 | 0.0138 | 0.0605 | 0.0236 |
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- | 0.0 | 24.9130 | 7025 | 0.0134 | 0.0583 | 0.0205 |
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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: 0.0036
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+ - Wer: 0.0518
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+ - Cer: 0.0212
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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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+ | 0.0051 | 1.0 | 282 | 0.0036 | 0.0472 | 0.0188 |
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+ | 0.0033 | 2.0 | 564 | 0.0042 | 0.0547 | 0.0200 |
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+ | 0.0018 | 3.0 | 846 | 0.0050 | 0.0599 | 0.0217 |
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+ | 0.0012 | 4.0 | 1128 | 0.0054 | 0.0536 | 0.0195 |
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+ | 0.0007 | 5.0 | 1410 | 0.0059 | 0.0599 | 0.0203 |
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+ | 0.0006 | 6.0 | 1692 | 0.0069 | 0.0632 | 0.0238 |
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+ | 0.0006 | 7.0 | 1974 | 0.0076 | 0.0673 | 0.0239 |
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+ | 0.0004 | 8.0 | 2256 | 0.0076 | 0.0644 | 0.0235 |
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+ | 0.0004 | 9.0 | 2538 | 0.0087 | 0.0603 | 0.0225 |
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+ | 0.0003 | 10.0 | 2820 | 0.0076 | 0.0601 | 0.0220 |
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+ | 0.0003 | 11.0 | 3102 | 0.0091 | 0.0615 | 0.0213 |
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+ | 0.0002 | 12.0 | 3384 | 0.0094 | 0.0572 | 0.0211 |
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+ | 0.0002 | 13.0 | 3666 | 0.0100 | 0.0686 | 0.0284 |
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+ | 0.0001 | 14.0 | 3948 | 0.0102 | 0.0608 | 0.0221 |
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+ | 0.0001 | 15.0 | 4230 | 0.0115 | 0.0552 | 0.0196 |
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+ | 0.0001 | 16.0 | 4512 | 0.0119 | 0.0563 | 0.0208 |
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+ | 0.0001 | 17.0 | 4794 | 0.0121 | 0.0614 | 0.0228 |
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+ | 0.0 | 18.0 | 5076 | 0.0132 | 0.0559 | 0.0216 |
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+ | 0.0 | 19.0 | 5358 | 0.0135 | 0.0568 | 0.0211 |
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+ | 0.0 | 20.0 | 5640 | 0.0139 | 0.0559 | 0.0213 |
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+ | 0.0 | 21.0 | 5922 | 0.0137 | 0.0552 | 0.0206 |
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+ | 0.0 | 22.0 | 6204 | 0.0136 | 0.0541 | 0.0204 |
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+ | 0.0 | 23.0 | 6486 | 0.0136 | 0.0538 | 0.0200 |
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+ | 0.0 | 24.0 | 6768 | 0.0132 | 0.0608 | 0.0244 |
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+ | 0.0 | 24.9130 | 7025 | 0.0136 | 0.0539 | 0.0201 |
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  ### Framework versions
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