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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-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: 0.0099
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- - Wer: 0.1017
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- - Cer: 0.0375
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  ## Model description
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@@ -41,7 +41,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
@@ -57,13 +57,15 @@ 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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- | 0.0107 | 1.0 | 313 | 0.0098 | 0.1102 | 0.0433 |
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- | 0.0081 | 2.0 | 626 | 0.0087 | 0.1043 | 0.0376 |
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- | 0.0086 | 3.0 | 939 | 0.0092 | 0.0995 | 0.0346 |
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- | 0.0045 | 4.0 | 1252 | 0.0099 | 0.0994 | 0.0335 |
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- | 0.0023 | 5.0 | 1565 | 0.0108 | 0.1023 | 0.0394 |
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- | 0.001 | 6.0 | 1878 | 0.0117 | 0.1021 | 0.0353 |
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- | 0.0004 | 7.0 | 2191 | 0.0124 | 0.1012 | 0.0344 |
 
 
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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: 0.0096
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+ - Wer: 0.1101
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+ - Cer: 0.0435
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-06
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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+ | 0.0074 | 1.0 | 313 | 0.0085 | 0.1014 | 0.0371 |
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+ | 0.0092 | 2.0 | 626 | 0.0080 | 0.1017 | 0.0360 |
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+ | 0.0038 | 3.0 | 939 | 0.0079 | 0.0961 | 0.0329 |
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+ | 0.0049 | 4.0 | 1252 | 0.0081 | 0.1006 | 0.0366 |
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+ | 0.0029 | 5.0 | 1565 | 0.0090 | 0.1023 | 0.0397 |
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+ | 0.0024 | 6.0 | 1878 | 0.0091 | 0.0909 | 0.0323 |
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+ | 0.0045 | 7.0 | 2191 | 0.0096 | 0.0967 | 0.0360 |
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+ | 0.0023 | 8.0 | 2504 | 0.0102 | 0.0999 | 0.0458 |
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+ | 0.0013 | 9.0 | 2817 | 0.0107 | 0.0956 | 0.0439 |
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  ### Framework versions
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