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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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base_model: tarteel-ai/whisper-base-ar-quran |
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tags: |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: raghaddd |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Zolfa Dataset |
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type: mozilla-foundation/common_voice_11_0 |
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args: 'config: ar, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 10.344827586206897 |
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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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# raghaddd |
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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: 0.0160 |
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- Wer: 10.3448 |
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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: 16 |
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- eval_batch_size: 2 |
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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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- num_epochs: 10 |
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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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| 0.382 | 1.0 | 21 | 0.0234 | 6.8966 | |
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| 0.0151 | 2.0 | 42 | 0.0056 | 0.0 | |
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| 0.0033 | 3.0 | 63 | 0.0066 | 0.0 | |
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| 0.0014 | 4.0 | 84 | 0.0112 | 10.3448 | |
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| 0.001 | 5.0 | 105 | 0.0113 | 3.4483 | |
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| 0.0005 | 6.0 | 126 | 0.0141 | 3.4483 | |
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| 0.0004 | 7.0 | 147 | 0.0140 | 10.3448 | |
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| 0.0005 | 8.0 | 168 | 0.0165 | 10.3448 | |
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| 0.0003 | 9.0 | 189 | 0.0145 | 10.3448 | |
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| 0.0003 | 10.0 | 210 | 0.0160 | 10.3448 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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