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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: mit |
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base_model: openai/whisper-large-v3-turbo |
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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: turboardj0.2 |
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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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# turboardj0.2 |
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This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the test dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1442 |
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- Wer: 8.7712 |
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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: 32 |
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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: 5000 |
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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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| 0.2254 | 0.8873 | 1000 | 0.1703 | 12.7173 | |
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| 0.114 | 1.7746 | 2000 | 0.1476 | 10.4795 | |
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| 0.0556 | 2.6619 | 3000 | 0.1418 | 9.0360 | |
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| 0.0253 | 3.5492 | 4000 | 0.1485 | 8.4765 | |
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| 0.0117 | 4.4366 | 5000 | 0.1442 | 8.7712 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
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