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MiraW/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from MiraW. 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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From the Hugging Face model README
This model is a fine-tuned version of ntu-spml/distilhubert on the GTZAN 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 |
|---|---|---|---|---|
| 0.0 | 1.0 | 113 | nan | 0.1 |
| 0.0 | 2.0 | 226 | nan | 0.1 |
| 0.0 | 3.0 | 339 | nan | 0.1 |
| 0.0 | 4.0 | 452 | nan | 0.1 |
| 0.0 | 5.0 | 565 | nan | 0.1 |
| 0.0 | 6.0 | 678 | nan | 0.1 |
| 0.0 | 7.0 | 791 | nan | 0.1 |
| 0.0 | 8.0 | 904 | nan | 0.1 |
| 0.0 | 9.0 | 1017 | nan | 0.1 |
| 0.0 | 10.0 | 1130 | nan | 0.1 |
| 0.0 | 11.0 | 1243 | nan | 0.1 |
| 0.0 | 12.0 | 1356 | nan | 0.1 |
| 0.0 | 13.0 | 1469 | nan | 0.1 |
| 0.0 | 14.0 | 1582 | nan | 0.1 |
| 0.0 | 15.0 | 1695 | nan | 0.1 |
| 0.0 | 16.0 | 1808 | nan | 0.1 |
| 0.0 | 17.0 | 1921 | nan | 0.1 |
| 0.0 | 18.0 | 2034 | nan | 0.1 |
| 0.0 | 19.0 | 2147 | nan | 0.1 |
| 0.0 | 20.0 | 2260 | nan | 0.1 |