End of training
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README.md
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# Whisper Small zh-TW
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13.0 dataset.
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## Model description
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- training_steps: 10000
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.38.2
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# Whisper Small zh-TW
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2504
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- Cer: 10.4045
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## Model description
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- training_steps: 10000
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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 | Cer |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|
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| 0.0898 | 1.38 | 1000 | 0.1981 | 11.5149 |
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| 0.0283 | 2.75 | 2000 | 0.1991 | 10.3994 |
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| 0.0037 | 4.13 | 3000 | 0.2141 | 10.5107 |
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| 0.0038 | 5.5 | 4000 | 0.2237 | 10.4252 |
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| 0.0033 | 6.88 | 5000 | 0.2263 | 10.3062 |
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| 0.0004 | 8.25 | 6000 | 0.2339 | 10.8238 |
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| 0.0003 | 9.63 | 7000 | 0.2400 | 10.4252 |
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| 0.0002 | 11.0 | 8000 | 0.2451 | 10.5262 |
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| 0.0002 | 12.38 | 9000 | 0.2487 | 10.3605 |
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| 0.0002 | 13.76 | 10000 | 0.2504 | 10.4045 |
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### Framework versions
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- Transformers 4.38.2
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model.safetensors
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