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: 0.0180
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- - Wer: 0.1014
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- - Cer: 0.0388
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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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- | 0.0058 | 1.0 | 375 | 0.0084 | 0.1035 | 0.0367 |
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- | 0.0073 | 2.0 | 750 | 0.0121 | 0.1385 | 0.0461 |
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- | 0.0035 | 3.0 | 1125 | 0.0124 | 0.1394 | 0.0520 |
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- | 0.0029 | 4.0 | 1500 | 0.0128 | 0.1325 | 0.0530 |
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- | 0.0016 | 5.0 | 1875 | 0.0137 | 0.1175 | 0.0444 |
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- | 0.0015 | 6.0 | 2250 | 0.0145 | 0.1214 | 0.0475 |
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- | 0.0009 | 7.0 | 2625 | 0.0148 | 0.1227 | 0.0469 |
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- | 0.0013 | 8.0 | 3000 | 0.0143 | 0.1254 | 0.0485 |
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- | 0.0006 | 9.0 | 3375 | 0.0147 | 0.1173 | 0.0415 |
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- | 0.0007 | 10.0 | 3750 | 0.0153 | 0.1205 | 0.0427 |
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- | 0.0009 | 11.0 | 4125 | 0.0154 | 0.1064 | 0.0398 |
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- | 0.0005 | 12.0 | 4500 | 0.0157 | 0.1117 | 0.0398 |
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- | 0.0003 | 13.0 | 4875 | 0.0156 | 0.1046 | 0.0390 |
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- | 0.0002 | 14.0 | 5250 | 0.0159 | 0.1137 | 0.0463 |
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- | 0.0 | 15.0 | 5625 | 0.0166 | 0.1084 | 0.0434 |
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- | 0.0002 | 16.0 | 6000 | 0.0170 | 0.1137 | 0.0413 |
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- | 0.0002 | 17.0 | 6375 | 0.0164 | 0.1035 | 0.0385 |
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- | 0.0001 | 18.0 | 6750 | 0.0163 | 0.1086 | 0.0420 |
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- | 0.0 | 19.0 | 7125 | 0.0162 | 0.1039 | 0.0392 |
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- | 0.0 | 20.0 | 7500 | 0.0164 | 0.1008 | 0.0375 |
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- | 0.0 | 21.0 | 7875 | 0.0166 | 0.1010 | 0.0382 |
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- | 0.0 | 22.0 | 8250 | 0.0167 | 0.0999 | 0.0380 |
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- | 0.0 | 23.0 | 8625 | 0.0168 | 0.0990 | 0.0374 |
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- | 0.0 | 24.0 | 9000 | 0.0181 | 0.1012 | 0.0386 |
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- | 0.0 | 25.0 | 9375 | 0.0168 | 0.0992 | 0.0377 |
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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: 0.0167
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+ - Wer: 0.0944
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+ - Cer: 0.0360
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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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+ | 0.0081 | 1.0 | 375 | 0.0090 | 0.0947 | 0.0349 |
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+ | 0.0037 | 2.0 | 750 | 0.0124 | 0.1249 | 0.0467 |
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+ | 0.0027 | 3.0 | 1125 | 0.0125 | 0.1238 | 0.0484 |
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+ | 0.0019 | 4.0 | 1500 | 0.0130 | 0.1135 | 0.0414 |
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+ | 0.0012 | 5.0 | 1875 | 0.0130 | 0.1077 | 0.0375 |
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+ | 0.0009 | 6.0 | 2250 | 0.0128 | 0.1081 | 0.0406 |
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+ | 0.0008 | 7.0 | 2625 | 0.0153 | 0.1184 | 0.0396 |
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+ | 0.0009 | 8.0 | 3000 | 0.0149 | 0.1066 | 0.0371 |
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+ | 0.0004 | 9.0 | 3375 | 0.0147 | 0.0992 | 0.0347 |
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+ | 0.0006 | 10.0 | 3750 | 0.0149 | 0.1093 | 0.0396 |
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+ | 0.0014 | 11.0 | 4125 | 0.0146 | 0.1071 | 0.0390 |
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+ | 0.0005 | 12.0 | 4500 | 0.0142 | 0.1014 | 0.0370 |
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+ | 0.0007 | 13.0 | 4875 | 0.0162 | 0.1131 | 0.0410 |
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+ | 0.0005 | 14.0 | 5250 | 0.0148 | 0.0999 | 0.0361 |
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+ | 0.0002 | 15.0 | 5625 | 0.0152 | 0.1019 | 0.0400 |
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+ | 0.0 | 16.0 | 6000 | 0.0154 | 0.0948 | 0.0332 |
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+ | 0.0 | 17.0 | 6375 | 0.0156 | 0.0910 | 0.0330 |
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+ | 0.0 | 18.0 | 6750 | 0.0164 | 0.1003 | 0.0373 |
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+ | 0.0 | 19.0 | 7125 | 0.0156 | 0.0927 | 0.0319 |
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+ | 0.0001 | 20.0 | 7500 | 0.0158 | 0.0905 | 0.0314 |
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+ | 0.0 | 21.0 | 7875 | 0.0159 | 0.0918 | 0.0324 |
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+ | 0.0 | 22.0 | 8250 | 0.0158 | 0.0890 | 0.0315 |
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+ | 0.0 | 23.0 | 8625 | 0.0159 | 0.0892 | 0.0317 |
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+ | 0.0 | 24.0 | 9000 | 0.0167 | 0.0942 | 0.0357 |
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+ | 0.0 | 25.0 | 9375 | 0.0160 | 0.0885 | 0.0308 |
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  ### Framework versions
runs/Dec27_01-47-03_2d43caeed1af/events.out.tfevents.1735292634.2d43caeed1af.23.1 ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:9910c34e273f20052b9807cfc1713adc0b99c9bf05f2a3b589700b8ed008fdf9
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+ size 453