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Baselhany
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Whisper_tiny_tring_large_sample_with_early_stop2

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Model card Files
xet
Metrics Community
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Training finished

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  1. README.md +17 -10
  2. model.safetensors +1 -1
  3. runs/Feb01_17-35-17_6fd30b553f0f/events.out.tfevents.1738459980.6fd30b553f0f.18.1 +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: 0.0081
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- - Wer: 0.1274
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- - Cer: 0.0518
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  ## Model description
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@@ -57,13 +57,20 @@ 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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- | 0.003 | 1.0 | 313 | 0.0074 | 0.1301 | 0.0465 |
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- | 0.0037 | 2.0 | 626 | 0.0075 | 0.1319 | 0.0481 |
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- | 0.0036 | 3.0 | 939 | 0.0075 | 0.1309 | 0.0487 |
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- | 0.0027 | 4.0 | 1252 | 0.0077 | 0.1213 | 0.0419 |
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- | 0.0025 | 5.0 | 1565 | 0.0079 | 0.1381 | 0.0642 |
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- | 0.0022 | 6.0 | 1878 | 0.0080 | 0.1310 | 0.0486 |
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- | 0.0018 | 7.0 | 2191 | 0.0082 | 0.1252 | 0.0472 |
 
 
 
 
 
 
 
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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: 0.0074
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+ - Wer: 0.1224
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+ - Cer: 0.0484
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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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+ | 0.007 | 1.0 | 313 | 0.0071 | 0.1361 | 0.0521 |
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+ | 0.0064 | 2.0 | 626 | 0.0070 | 0.1245 | 0.0417 |
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+ | 0.0059 | 3.0 | 939 | 0.0068 | 0.1309 | 0.0478 |
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+ | 0.0052 | 4.0 | 1252 | 0.0070 | 0.1225 | 0.0421 |
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+ | 0.0029 | 5.0 | 1565 | 0.0069 | 0.1225 | 0.0429 |
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+ | 0.0027 | 6.0 | 1878 | 0.0068 | 0.1196 | 0.0401 |
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+ | 0.003 | 7.0 | 2191 | 0.0068 | 0.1144 | 0.0388 |
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+ | 0.0025 | 8.0 | 2504 | 0.0070 | 0.1176 | 0.0385 |
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+ | 0.0022 | 9.0 | 2817 | 0.0071 | 0.1162 | 0.0399 |
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+ | 0.0022 | 10.0 | 3130 | 0.0072 | 0.1184 | 0.0520 |
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+ | 0.0013 | 11.0 | 3443 | 0.0073 | 0.1178 | 0.0379 |
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+ | 0.0022 | 12.0 | 3756 | 0.0074 | 0.1187 | 0.0508 |
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+ | 0.0014 | 13.0 | 4069 | 0.0074 | 0.1214 | 0.0391 |
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+ | 0.0009 | 14.0 | 4382 | 0.0079 | 0.1256 | 0.0482 |
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  ### Framework versions
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runs/Feb01_17-35-17_6fd30b553f0f/events.out.tfevents.1738459980.6fd30b553f0f.18.1 ADDED
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