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README.md
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 0.
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## Model description
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- num_epochs: 3
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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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| 0.0252 | 0.7722 | 200 | 0.0256 | 0.1182 |
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| 0.0193 | 1.5444 | 400 | 0.0219 | 0.1037 |
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| 0.0099 | 2.3166 | 600 | 0.0204 | 0.0998 |
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### Framework versions
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.014348
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- Wer: 0.070102
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## Model description
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Framework versions
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