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Ulangi/25-distilhubert-finetuned-gtzan
25-distilhubert-finetuned-gtzan is a audio classification model from Ulangi. 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 small fine-tuned version of ntu-spml/distilhubert on the GTZAN dataset. It takes 25% of the GTZAN dataset to fine-tune. 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 |
|---|---|---|---|---|
| 1.3123 | 1.0 | 57 | 1.3463 | 0.56 |
| 0.6113 | 2.0 | 114 | 0.5379 | 0.96 |
| 0.1295 | 3.0 | 171 | 0.2719 | 0.96 |
| 0.2878 | 4.0 | 228 | 0.0979 | 0.96 |
| 0.0168 | 5.0 | 285 | 0.1527 | 0.96 |
| 0.0104 | 6.0 | 342 | 0.2320 | 0.96 |
| 0.0067 | 7.0 | 399 | 0.1798 | 0.96 |
| 0.0051 | 8.0 | 456 | 0.1827 | 0.96 |
| 0.0041 | 9.0 | 513 | 0.1918 | 0.96 |
| 0.0055 | 10.0 | 570 | 0.1955 | 0.96 |