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chengyili2005/whisper-small-mandarin
whisper-small-mandarin is a automatic speech recognition model from chengyili2005. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of openai/whisper-small on the Common Voice 24.0 - Mandarin dataset. It achieves the following results on the evaluation set: - Best CER: 13.5475
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From the Hugging Face model README
This model is a fine-tuned version of openai/whisper-small on the Common Voice 24.0 - Mandarin dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
Used to train this model which was first fine-tuned on 1,000 hours of Mandarin and then 300 hours Cantonese.
Done through Google Colab Pro using the L4 GPU
The following hyperparameters were used during training:
| Step | Epoch | Training Loss | Validation Loss | CER |
|---|---|---|---|---|
| 1000 | 0.5411 | 0.0951 | 0.3452 | 14.5735 |
| 2000 | 1.0823 | 0.0843 | 0.3453 | 14.4748 |
| 3000 | 1.6234 | 0.0891 | 0.3467 | 13.9116 |
| 4000 | 2.1645 | 0.0499 | 0.3476 | 13.7131 |
| 5000 | 2.7056 | 0.0329 | 0.3489 | 13.5475 |