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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: 0.0344 |
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- Wer: 16.1004 |
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- Cer: 5.1378 |
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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: 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: cosine |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 15 |
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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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| 0.0023 | 1.0 | 157 | 0.0291 | 18.4363 | 5.9503 | |
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| 0.0007 | 2.0 | 314 | 0.0258 | 19.4172 | 6.2648 | |
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| 0.0006 | 3.0 | 471 | 0.0290 | 19.4172 | 6.4596 | |
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| 0.0007 | 4.0 | 628 | 0.0278 | 20.3124 | 6.5744 | |
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| 0.0007 | 5.0 | 785 | 0.0307 | 21.0409 | 7.0886 | |
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| 0.0005 | 6.0 | 942 | 0.0311 | 20.6647 | 6.3780 | |
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| 0.0004 | 7.0 | 1099 | 0.0321 | 21.0028 | 6.7774 | |
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| 0.0003 | 8.0 | 1256 | 0.0347 | 19.5172 | 6.0479 | |
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| 0.0002 | 9.0 | 1413 | 0.0356 | 20.1647 | 6.2282 | |
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| 0.0001 | 10.0 | 1570 | 0.0358 | 18.5078 | 5.7090 | |
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| 0.0 | 11.0 | 1727 | 0.0370 | 18.4649 | 5.8249 | |
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| 0.0 | 12.0 | 1884 | 0.0384 | 17.8316 | 5.5625 | |
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| 0.0 | 13.0 | 2041 | 0.0384 | 17.1984 | 5.4460 | |
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| 0.0 | 14.0 | 2198 | 0.0384 | 16.7270 | 5.3628 | |
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| 0.0 | 14.9088 | 2340 | 0.0385 | 16.6841 | 5.3334 | |
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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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