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nic70/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from nic70. 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. --
Downloads · 30 days
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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 |
|---|---|---|---|---|
| 1.6131 | 1.0 | 113 | 1.7407 | 0.43 |
| 1.0878 | 2.0 | 226 | 1.1306 | 0.68 |
| 0.7836 | 3.0 | 339 | 0.8427 | 0.77 |
| 0.5646 | 4.0 | 452 | 0.6842 | 0.8 |
| 0.2202 | 5.0 | 565 | 0.5216 | 0.84 |
| 0.1047 | 6.0 | 678 | 0.5698 | 0.82 |
| 0.0824 | 7.0 | 791 | 0.6976 | 0.83 |
| 0.1118 | 8.0 | 904 | 0.6875 | 0.81 |
| 0.1161 | 9.0 | 1017 | 0.6779 | 0.84 |
| 0.0855 | 10.0 | 1130 | 0.7037 | 0.83 |