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Graduation_Project_Whisper_base_segment

Automatic Speech Recognition
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Safetensors
Arabic
whisper
Generated from Trainer
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  1. README.md +30 -30
  2. model.safetensors +1 -1
  3. runs/Apr30_15-29-26_5964ff3fd4d9/events.out.tfevents.1746026969.5964ff3fd4d9.19.0 +2 -2
  4. runs/Apr30_15-29-26_5964ff3fd4d9/events.out.tfevents.1746058286.5964ff3fd4d9.19.1 +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: 0.0550
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- - Cer: 0.0222
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  ## Model description
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@@ -55,33 +55,33 @@ 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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- | 0.0049 | 1.0 | 282 | 0.0037 | 0.0498 | 0.0180 |
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- | 0.0031 | 2.0 | 564 | 0.0042 | 0.0525 | 0.0202 |
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- | 0.0015 | 3.0 | 846 | 0.0049 | 0.0568 | 0.0226 |
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- | 0.0012 | 4.0 | 1128 | 0.0058 | 0.0590 | 0.0229 |
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- | 0.0008 | 5.0 | 1410 | 0.0057 | 0.0635 | 0.0243 |
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- | 0.0007 | 6.0 | 1692 | 0.0063 | 0.0639 | 0.0223 |
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- | 0.0005 | 7.0 | 1974 | 0.0067 | 0.0610 | 0.0237 |
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- | 0.0005 | 8.0 | 2256 | 0.0070 | 0.0612 | 0.0232 |
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- | 0.0003 | 9.0 | 2538 | 0.0073 | 0.0626 | 0.0243 |
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- | 0.0003 | 10.0 | 2820 | 0.0080 | 0.0643 | 0.0239 |
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- | 0.0003 | 11.0 | 3102 | 0.0088 | 0.0635 | 0.0237 |
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- | 0.0003 | 12.0 | 3384 | 0.0087 | 0.0605 | 0.0231 |
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- | 0.0002 | 13.0 | 3666 | 0.0092 | 0.0612 | 0.0239 |
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- | 0.0002 | 14.0 | 3948 | 0.0104 | 0.0610 | 0.0226 |
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- | 0.0001 | 15.0 | 4230 | 0.0105 | 0.0543 | 0.0194 |
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- | 0.0001 | 16.0 | 4512 | 0.0111 | 0.0568 | 0.0216 |
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- | 0.0 | 17.0 | 4794 | 0.0124 | 0.0556 | 0.0206 |
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- | 0.0001 | 18.0 | 5076 | 0.0128 | 0.0539 | 0.0210 |
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- | 0.0 | 19.0 | 5358 | 0.0130 | 0.0530 | 0.0201 |
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- | 0.0 | 20.0 | 5640 | 0.0130 | 0.0539 | 0.0197 |
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- | 0.0 | 21.0 | 5922 | 0.0129 | 0.0536 | 0.0202 |
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- | 0.0 | 22.0 | 6204 | 0.0130 | 0.0541 | 0.0208 |
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- | 0.0 | 23.0 | 6486 | 0.0130 | 0.0547 | 0.0211 |
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- | 0.0 | 24.0 | 6768 | 0.0129 | 0.0605 | 0.0246 |
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- | 0.0 | 24.9130 | 7025 | 0.0130 | 0.0547 | 0.0210 |
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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: 0.0034
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+ - Wer: 0.0479
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+ - Cer: 0.0195
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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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+ | 0.0039 | 1.0 | 215 | 0.0034 | 0.0436 | 0.0167 |
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+ | 0.0028 | 2.0 | 430 | 0.0039 | 0.0525 | 0.0204 |
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+ | 0.0019 | 3.0 | 645 | 0.0051 | 0.0605 | 0.0231 |
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+ | 0.0012 | 4.0 | 860 | 0.0054 | 0.0628 | 0.0232 |
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+ | 0.0008 | 5.0 | 1075 | 0.0057 | 0.0648 | 0.0240 |
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+ | 0.0006 | 6.0 | 1290 | 0.0061 | 0.0597 | 0.0212 |
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+ | 0.0006 | 7.0 | 1505 | 0.0063 | 0.0621 | 0.0252 |
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+ | 0.0004 | 8.0 | 1720 | 0.0073 | 0.0644 | 0.0251 |
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+ | 0.0004 | 9.0 | 1935 | 0.0074 | 0.0621 | 0.0248 |
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+ | 0.0002 | 10.0 | 2150 | 0.0081 | 0.0671 | 0.0253 |
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+ | 0.0004 | 11.0 | 2365 | 0.0080 | 0.0632 | 0.0221 |
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+ | 0.0002 | 12.0 | 2580 | 0.0083 | 0.0565 | 0.0207 |
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+ | 0.0001 | 13.0 | 2795 | 0.0090 | 0.0570 | 0.0201 |
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+ | 0.0001 | 14.0 | 3010 | 0.0105 | 0.0630 | 0.0263 |
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+ | 0.0001 | 15.0 | 3225 | 0.0109 | 0.0608 | 0.0242 |
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+ | 0.0001 | 16.0 | 3440 | 0.0118 | 0.0597 | 0.0221 |
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+ | 0.0 | 17.0 | 3655 | 0.0119 | 0.0595 | 0.0220 |
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+ | 0.0 | 18.0 | 3870 | 0.0130 | 0.0621 | 0.0235 |
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+ | 0.0 | 19.0 | 4085 | 0.0133 | 0.0597 | 0.0231 |
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+ | 0.0 | 20.0 | 4300 | 0.0133 | 0.0592 | 0.0240 |
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+ | 0.0 | 21.0 | 4515 | 0.0135 | 0.0605 | 0.0237 |
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+ | 0.0 | 22.0 | 4730 | 0.0135 | 0.0592 | 0.0231 |
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+ | 0.0 | 23.0 | 4945 | 0.0135 | 0.0592 | 0.0231 |
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+ | 0.0 | 24.0 | 5160 | 0.0124 | 0.0589 | 0.0228 |
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+ | 0.0 | 25.0 | 5375 | 0.0135 | 0.0590 | 0.0231 |
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  ### Framework versions
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