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--- |
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library_name: transformers |
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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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metrics: |
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- wer |
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model-index: |
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- name: Whisper Tiny Ar Tashkeel - AzeemX |
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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 Tashkeel - AzeemX |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1126 |
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- Wer: 18.6851 |
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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: 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: 7000 |
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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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| 0.2248 | 1.0320 | 1000 | 0.2138 | 34.5276 | |
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| 0.1345 | 2.0640 | 2000 | 0.1635 | 27.2003 | |
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| 0.0967 | 3.0960 | 3000 | 0.1408 | 23.9162 | |
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| 0.0678 | 4.1280 | 4000 | 0.1282 | 21.5152 | |
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| 0.0537 | 5.1600 | 5000 | 0.1191 | 19.9726 | |
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| 0.0501 | 6.1920 | 6000 | 0.1145 | 19.0116 | |
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| 0.0416 | 7.2239 | 7000 | 0.1126 | 18.6851 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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