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--- |
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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-small |
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tags: |
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- ar_text_converter |
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- generated_from_trainer |
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datasets: |
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- openai/whisper-small |
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model-index: |
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- name: whisper Small Ar - mvymodel |
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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 Small Ar - mvymodel |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Our Dataset dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0742 |
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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: 3e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 4 |
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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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.0638 | 1.0 | 2494 | 0.0655 | |
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| 0.0524 | 2.0 | 4988 | 0.0584 | |
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| 0.0373 | 3.0 | 7482 | 0.0564 | |
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| 0.0287 | 4.0 | 9976 | 0.0600 | |
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| 0.0136 | 5.0 | 12470 | 0.0646 | |
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| 0.0069 | 6.0 | 14964 | 0.0674 | |
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| 0.0031 | 7.0 | 17458 | 0.0700 | |
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| 0.0013 | 8.0 | 19952 | 0.0723 | |
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| 0.0005 | 9.0 | 22446 | 0.0736 | |
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| 0.0002 | 10.0 | 24940 | 0.0742 | |
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### Framework versions |
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- Transformers 4.32.0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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