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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: whisper-tiny-ar-quran
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# whisper-tiny-ar-quran
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0928
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- Wer: 7.0535
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps: 5000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 0.1766 | 0.05 | 500 | 0.2829 | 20.0236 |
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| 0.1129 | 0.09 | 1000 | 0.1981 | 13.8364 |
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| 0.0775 | 0.14 | 1500 | 0.1763 | 12.5450 |
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| 0.0678 | 0.19 | 2000 | 0.1485 | 10.7302 |
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| 0.0437 | 0.23 | 2500 | 0.1336 | 9.6693 |
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| 0.0341 | 0.28 | 3000 | 0.1244 | 8.9602 |
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| 0.0302 | 0.33 | 3500 | 0.1059 | 8.2224 |
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| 0.0189 | 0.37 | 4000 | 0.1044 | 7.6902 |
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| 0.0167 | 0.42 | 4500 | 0.0966 | 7.2643 |
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| 0.0151 | 0.47 | 5000 | 0.0928 | 7.0535 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.13.0+cu117
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- Datasets 2.7.1.dev0
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- Tokenizers 0.13.2
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