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mahdafr/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from mahdafr. 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 |
|---|---|---|---|---|
| 1.5864 | 1.0 | 112 | 1.4484 | 0.53 |
| 1.1517 | 2.0 | 225 | 1.0442 | 0.66 |
| 0.9177 | 3.0 | 337 | 0.8256 | 0.76 |
| 0.6564 | 4.0 | 450 | 0.6099 | 0.84 |
| 0.5938 | 5.0 | 562 | 0.6822 | 0.78 |
| 0.2182 | 6.0 | 675 | 0.5630 | 0.81 |
| 0.3178 | 7.0 | 787 | 0.4598 | 0.85 |
| 0.1181 | 8.0 | 900 | 0.4580 | 0.86 |
| 0.0377 | 9.0 | 1012 | 0.4716 | 0.88 |
| 0.034 | 9.96 | 1120 | 0.4759 | 0.87 |