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devkyle/whisper-3000ms-v2
whisper-3000ms-v2 is a automatic speech recognition model from devkyle. 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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.safetensors151 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of openai/whisper-tiny on the None 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 |
|---|---|---|---|---|
| 0.5414 | 10.0 | 250 | 0.7596 | 55.6922 |
| 0.09 | 20.0 | 500 | 0.9048 | 52.3362 |
| 0.0275 | 30.0 | 750 | 1.0300 | 49.0091 |
| 0.0114 | 40.0 | 1000 | 1.0959 | 47.4902 |
| 0.004 | 50.0 | 1250 | 1.1247 | 45.3783 |
| 0.0017 | 60.0 | 1500 | 1.1412 | 45.3493 |
| 0.0009 | 70.0 | 1750 | 1.1437 | 44.6261 |
| 0.0007 | 80.0 | 2000 | 1.1467 | 45.0456 |