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barto17/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from barto17. 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 |
|---|---|---|---|---|
| 2.007 | 1.0 | 113 | 1.8377 | 0.4 |
| 1.3132 | 2.0 | 226 | 1.2420 | 0.62 |
| 1.0222 | 3.0 | 339 | 0.9306 | 0.76 |
| 0.8859 | 4.0 | 452 | 0.8253 | 0.73 |
| 0.6842 | 5.0 | 565 | 0.6612 | 0.78 |
| 0.3738 | 6.0 | 678 | 0.6719 | 0.79 |
| 0.421 | 7.0 | 791 | 0.6380 | 0.83 |
| 0.1587 | 8.0 | 904 | 0.5500 | 0.86 |
| 0.1807 | 9.0 | 1017 | 0.5794 | 0.85 |
| 0.1573 | 10.0 | 1130 | 0.6087 | 0.85 |