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--- |
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library_name: transformers |
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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-tiny-ar-quran |
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tags: |
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- generated_from_trainer |
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datasets: |
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- numan98/synth-incorrect-verses |
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metrics: |
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- wer |
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model-index: |
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- name: Nextayah Tiny Whisper Finetuned |
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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: Synthetic Incorrect Verses |
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type: numan98/synth-incorrect-verses |
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config: default |
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split: None |
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args: 'split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 17.25043782837128 |
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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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# Nextayah Tiny Whisper Finetuned |
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This model is a fine-tuned version of [tarteel-ai/whisper-tiny-ar-quran](https://huggingface.co/tarteel-ai/whisper-tiny-ar-quran) on the Synthetic Incorrect Verses dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0921 |
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- Wer: 17.2504 |
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 2000 |
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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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| 0.0217 | 8.7719 | 500 | 0.1236 | 22.5044 | |
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| 0.0025 | 17.5439 | 1000 | 0.1063 | 21.0158 | |
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| 0.0001 | 26.3158 | 1500 | 0.0910 | 17.4256 | |
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| 0.0001 | 35.0877 | 2000 | 0.0921 | 17.2504 | |
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### Framework versions |
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- Transformers 4.48.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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