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hedong/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from hedong. 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 |
|---|---|---|---|---|
| 1.9747 | 1.0 | 112 | 1.7879 | 0.56 |
| 1.322 | 1.99 | 224 | 1.2554 | 0.67 |
| 1.0047 | 3.0 | 337 | 0.9381 | 0.73 |
| 0.8037 | 4.0 | 449 | 0.8347 | 0.77 |
| 0.5617 | 4.99 | 561 | 0.7889 | 0.76 |
| 0.4773 | 6.0 | 674 | 0.6480 | 0.84 |
| 0.2749 | 6.99 | 786 | 0.6533 | 0.79 |
| 0.1649 | 8.0 | 899 | 0.6974 | 0.79 |
| 0.1132 | 9.0 | 1011 | 0.6771 | 0.81 |
| 0.1243 | 9.97 | 1120 | 0.6340 | 0.83 |