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Leo1212/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from Leo1212. 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 |
|---|---|---|---|---|
| 2.1424 | 1.0 | 57 | 2.0456 | 0.45 |
| 1.5766 | 2.0 | 114 | 1.5045 | 0.68 |
| 1.2474 | 3.0 | 171 | 1.2068 | 0.68 |
| 0.9574 | 4.0 | 228 | 1.1053 | 0.67 |
| 0.8741 | 5.0 | 285 | 0.8743 | 0.78 |
| 0.721 | 6.0 | 342 | 0.8041 | 0.77 |
| 0.6497 | 7.0 | 399 | 0.7521 | 0.81 |
| 0.5037 | 8.0 | 456 | 0.7051 | 0.82 |
| 0.5083 | 9.0 | 513 | 0.6693 | 0.82 |
| 0.4939 | 10.0 | 570 | 0.6581 | 0.83 |