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agercas/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from agercas. 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 |
|---|---|---|---|---|
| 1.3276 | 1.0 | 113 | 1.4307 | 0.53 |
| 1.0346 | 2.0 | 226 | 1.0529 | 0.68 |
| 0.92 | 3.0 | 339 | 0.7562 | 0.78 |
| 0.5665 | 4.0 | 452 | 0.6476 | 0.82 |
| 0.3491 | 5.0 | 565 | 0.5733 | 0.83 |
| 0.1923 | 6.0 | 678 | 0.4754 | 0.88 |
| 0.1646 | 7.0 | 791 | 0.5382 | 0.83 |
| 0.141 | 8.0 | 904 | 0.5623 | 0.84 |
| 0.0624 | 9.0 | 1017 | 0.5773 | 0.84 |
| 0.0706 | 10.0 | 1130 | 0.5815 | 0.83 |