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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: openai/whisper-tiny |
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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 - BH |
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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 - BH |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the quran-ayat-speech-to-text dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0070 |
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- Wer: 0.0780 |
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- Cer: 0.0312 |
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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: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- optimizer: Use 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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- num_epochs: 20 |
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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 | Cer | |
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|:-------------:|:-------:|:----:|:---------------:|:------:|:------:| |
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| 0.0099 | 1.0 | 157 | 0.0075 | 0.0746 | 0.0300 | |
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| 0.0068 | 2.0 | 314 | 0.0069 | 0.0682 | 0.0272 | |
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| 0.0054 | 3.0 | 471 | 0.0068 | 0.0700 | 0.0278 | |
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| 0.0043 | 4.0 | 628 | 0.0070 | 0.0726 | 0.0283 | |
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| 0.0031 | 5.0 | 785 | 0.0074 | 0.0726 | 0.0287 | |
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| 0.002 | 6.0 | 942 | 0.0082 | 0.0706 | 0.0285 | |
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| 0.0015 | 7.0 | 1099 | 0.0089 | 0.0758 | 0.0381 | |
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| 0.0005 | 8.0 | 1256 | 0.0096 | 0.0767 | 0.0479 | |
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| 0.0001 | 9.0 | 1413 | 0.0100 | 0.0767 | 0.0385 | |
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| 0.0002 | 10.0 | 1570 | 0.0104 | 0.0746 | 0.0474 | |
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| 0.0 | 11.0 | 1727 | 0.0107 | 0.0751 | 0.0474 | |
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| 0.0 | 12.0 | 1884 | 0.0109 | 0.0764 | 0.0482 | |
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| 0.0 | 13.0 | 2041 | 0.0112 | 0.0746 | 0.0479 | |
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| 0.0 | 14.0 | 2198 | 0.0113 | 0.0749 | 0.0488 | |
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| 0.0 | 15.0 | 2355 | 0.0116 | 0.0767 | 0.0495 | |
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| 0.0 | 16.0 | 2512 | 0.0119 | 0.0764 | 0.0488 | |
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| 0.0 | 17.0 | 2669 | 0.0121 | 0.0757 | 0.0487 | |
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| 0.0 | 18.0 | 2826 | 0.0122 | 0.0753 | 0.0489 | |
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| 0.0 | 19.0 | 2983 | 0.0127 | 0.0766 | 0.0390 | |
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| 0.0 | 19.8768 | 3120 | 0.0124 | 0.0755 | 0.0493 | |
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### Framework versions |
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- Transformers 4.47.0 |
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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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