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--- |
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language: |
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- ar |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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base_model: tarteel-ai/whisper-base-ar-quran |
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datasets: |
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- zolfa |
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metrics: |
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- wer |
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model-index: |
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- name: Zolfa-raghadomar |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: Zolfa Dataset |
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type: zolfa |
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args: 'config: ar, split: test' |
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metrics: |
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- type: wer |
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value: 14.285714285714285 |
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name: Wer |
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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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# Zolfa-raghadomar |
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This model is a fine-tuned version of [tarteel-ai/whisper-base-ar-quran](https://huggingface.co/tarteel-ai/whisper-base-ar-quran) on the Zolfa Dataset dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2374 |
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- Wer: 14.2857 |
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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: 1e-05 |
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- train_batch_size: 4 |
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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: 5 |
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- training_steps: 1000 |
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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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| 0.0669 | 0.6993 | 100 | 0.2045 | 21.4286 | |
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| 0.024 | 1.3986 | 200 | 0.2314 | 17.3469 | |
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| 0.0085 | 2.0979 | 300 | 0.2133 | 16.3265 | |
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| 0.0085 | 2.7972 | 400 | 0.2120 | 14.2857 | |
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| 0.0052 | 3.4965 | 500 | 0.2225 | 14.2857 | |
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| 0.0036 | 4.1958 | 600 | 0.2354 | 14.2857 | |
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| 0.0016 | 4.8951 | 700 | 0.2322 | 14.2857 | |
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| 0.0002 | 5.5944 | 800 | 0.2373 | 14.2857 | |
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| 0.0003 | 6.2937 | 900 | 0.2372 | 14.2857 | |
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| 0.0012 | 6.9930 | 1000 | 0.2374 | 14.2857 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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