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rowjak/wav2vec2-minds14-audio-classification-en
wav2vec2-minds14-audio-classification-en is a audio classification model from rowjak. Use it for the audio classification task on the model card, and read the license before you ship it in a product. 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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.safetensors378 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of anton-l/wav2vec2-base-ft-keyword-spotting on the minds14 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 | Accuracy |
|---|---|---|---|---|
| No log | 0.8 | 3 | 2.6727 | 0.0531 |
| No log | 1.8667 | 7 | 2.6503 | 0.0531 |
| 2.6417 | 2.9333 | 11 | 2.6485 | 0.0796 |
| 2.6417 | 4.0 | 15 | 2.6514 | 0.0531 |
| 2.6417 | 4.8 | 18 | 2.6531 | 0.0442 |
| 2.6189 | 5.8667 | 22 | 2.6596 | 0.0619 |
| 2.6189 | 6.9333 | 26 | 2.6650 | 0.0531 |
| 2.6123 | 8.0 | 30 | 2.6639 | 0.0796 |