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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/Dec30_18-34-20_3399b7bc1277/events.out.tfevents.1735597294.3399b7bc1277.40.1 +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: 0.0171
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- - Wer: 0.1132
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- - Cer: 0.0409
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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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- | 0.0145 | 1.0 | 219 | 0.0160 | 0.1213 | 0.0455 |
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- | 0.0115 | 2.0 | 438 | 0.0123 | 0.1267 | 0.0469 |
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- | 0.0082 | 3.0 | 657 | 0.0112 | 0.1157 | 0.0399 |
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- | 0.0061 | 4.0 | 876 | 0.0111 | 0.1173 | 0.0406 |
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- | 0.0056 | 5.0 | 1095 | 0.0116 | 0.1137 | 0.0389 |
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- | 0.0062 | 6.0 | 1314 | 0.0122 | 0.1117 | 0.0367 |
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- | 0.0021 | 7.0 | 1533 | 0.0129 | 0.1166 | 0.0396 |
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- | 0.0028 | 8.0 | 1752 | 0.0136 | 0.1167 | 0.0385 |
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- | 0.0017 | 9.0 | 1971 | 0.0141 | 0.1140 | 0.0370 |
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- | 0.0017 | 10.0 | 2190 | 0.0148 | 0.1119 | 0.0381 |
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- | 0.0012 | 11.0 | 2409 | 0.0152 | 0.1117 | 0.0366 |
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- | 0.0013 | 12.0 | 2628 | 0.0156 | 0.1122 | 0.0373 |
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- | 0.0008 | 13.0 | 2847 | 0.0159 | 0.1120 | 0.0377 |
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- | 0.0011 | 14.0 | 3066 | 0.0171 | 0.1128 | 0.0408 |
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- | 0.0008 | 15.0 | 3285 | 0.0161 | 0.1108 | 0.0369 |
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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: 0.0155
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+ - Wer: 0.1082
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+ - Cer: 0.0393
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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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+ | 0.0148 | 1.0 | 219 | 0.0134 | 0.1157 | 0.0395 |
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+ | 0.0101 | 2.0 | 438 | 0.0105 | 0.1175 | 0.0406 |
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+ | 0.0076 | 3.0 | 657 | 0.0099 | 0.1086 | 0.0379 |
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+ | 0.0071 | 4.0 | 876 | 0.0100 | 0.1066 | 0.0370 |
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+ | 0.0046 | 5.0 | 1095 | 0.0104 | 0.1081 | 0.0366 |
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+ | 0.0026 | 6.0 | 1314 | 0.0108 | 0.1137 | 0.0421 |
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+ | 0.003 | 7.0 | 1533 | 0.0116 | 0.1086 | 0.0391 |
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+ | 0.0026 | 8.0 | 1752 | 0.0123 | 0.1090 | 0.0392 |
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+ | 0.001 | 9.0 | 1971 | 0.0128 | 0.1081 | 0.0377 |
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+ | 0.0012 | 10.0 | 2190 | 0.0133 | 0.1097 | 0.0391 |
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+ | 0.001 | 11.0 | 2409 | 0.0137 | 0.1091 | 0.0373 |
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+ | 0.0004 | 12.0 | 2628 | 0.0141 | 0.1081 | 0.0379 |
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+ | 0.0009 | 13.0 | 2847 | 0.0143 | 0.1064 | 0.0363 |
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+ | 0.0005 | 14.0 | 3066 | 0.0157 | 0.1086 | 0.0397 |
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+ | 0.0009 | 15.0 | 3285 | 0.0145 | 0.1071 | 0.0370 |
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  ### Framework versions
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