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kiriku/whisper-base-en-homophone
whisper-base-en-homophone is a automatic speech recognition model from kiriku. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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.safetensors290 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of openai/whisper-small on the Homophones in Common Voice 15.0 dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3224 | 0.25 | 1000 | 0.4419 | 24.7690 |
| 0.3445 | 0.5 | 2000 | 0.4162 | 23.0405 |
| 0.3141 | 0.75 | 3000 | 0.4077 | 22.9357 |
| 0.3017 | 1.0 | 4000 | 0.4026 | 22.5190 |