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anteater42/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from anteater42. 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. --
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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 |
|---|---|---|---|---|
| 1.9296 | 1.0 | 113 | 1.8896 | 0.4 |
| 1.2492 | 2.0 | 226 | 1.2549 | 0.66 |
| 1.0654 | 3.0 | 339 | 1.0000 | 0.7 |
| 0.6985 | 4.0 | 452 | 0.8507 | 0.71 |
| 0.4913 | 5.0 | 565 | 0.6925 | 0.8 |
| 0.348 | 6.0 | 678 | 0.5620 | 0.83 |
| 0.2611 | 7.0 | 791 | 0.5355 | 0.84 |
| 0.1243 | 8.0 | 904 | 0.6176 | 0.84 |
| 0.1711 | 9.0 | 1017 | 0.5163 | 0.84 |
| 0.1141 | 10.0 | 1130 | 0.5062 | 0.85 |