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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: 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: Quran_Whisper_tiny |
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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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# Quran_Whisper_tiny |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0207 |
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- Wer: 229.5347 |
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- Cer: 117.8601 |
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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: cosine |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 1 |
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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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| 0.0495 | 0.1542 | 400 | 0.0480 | 368.5144 | 171.2066 | |
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| 0.0286 | 0.3083 | 800 | 0.0298 | 285.7357 | 139.7411 | |
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| 0.0216 | 0.4625 | 1200 | 0.0246 | 228.4060 | 111.7943 | |
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| 0.0186 | 0.6166 | 1600 | 0.0222 | 226.2672 | 114.4094 | |
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| 0.0175 | 0.7708 | 2000 | 0.0211 | 248.6376 | 128.6927 | |
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| 0.0173 | 0.9249 | 2400 | 0.0207 | 229.5347 | 117.8601 | |
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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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