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michaelsh/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from michaelsh. 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 |
|---|---|---|---|---|
| 1.7675 | 1.0 | 112 | 1.8184 | 0.42 |
| 1.2504 | 2.0 | 225 | 1.3015 | 0.62 |
| 1.0353 | 3.0 | 337 | 0.9890 | 0.72 |
| 0.8318 | 4.0 | 450 | 0.8237 | 0.8 |
| 0.4429 | 5.0 | 562 | 0.8123 | 0.78 |
| 0.4286 | 6.0 | 675 | 0.6820 | 0.8 |
| 0.2553 | 7.0 | 787 | 0.7826 | 0.78 |
| 0.3022 | 8.0 | 900 | 0.6811 | 0.77 |
| 0.1889 | 9.0 | 1012 | 0.6761 | 0.8 |
| 0.1073 | 9.96 | 1120 | 0.7058 | 0.79 |