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Stopwolf/distilhubert-gtzan
distilhubert-gtzan is a audio classification model from Stopwolf. 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 |
|---|---|---|---|---|
| 2.08 | 0.99 | 56 | 1.9899 | 0.34 |
| 1.5207 | 2.0 | 113 | 1.4384 | 0.63 |
| 1.141 | 2.99 | 169 | 1.0620 | 0.76 |
| 0.9619 | 4.0 | 226 | 0.9648 | 0.74 |
| 0.6937 | 4.99 | 282 | 0.8175 | 0.76 |
| 0.4903 | 6.0 | 339 | 0.7837 | 0.76 |
| 0.5162 | 6.99 | 395 | 0.6165 | 0.82 |
| 0.4026 | 8.0 | 452 | 0.5812 | 0.86 |
| 0.2924 | 8.99 | 508 | 0.5499 | 0.85 |
| 0.2344 | 10.0 | 565 | 0.5076 | 0.86 |
| 0.147 | 10.99 | 621 | 0.5171 | 0.86 |
| 0.1643 | 11.89 | 672 | 0.5201 | 0.87 |