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Lightmourne/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from Lightmourne. 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 |
|---|---|---|---|---|
| 1.9964 | 1.0 | 112 | 1.8442 | 0.5 |
| 1.3501 | 2.0 | 225 | 1.2660 | 0.68 |
| 0.921 | 3.0 | 337 | 0.9293 | 0.75 |
| 0.655 | 4.0 | 450 | 0.9135 | 0.73 |
| 0.3911 | 5.0 | 562 | 0.6855 | 0.76 |
| 0.2286 | 6.0 | 675 | 0.5951 | 0.82 |
| 0.2095 | 7.0 | 787 | 0.5583 | 0.82 |
| 0.1798 | 8.0 | 900 | 0.4626 | 0.87 |
| 0.2574 | 9.0 | 1012 | 0.5043 | 0.85 |
| 0.1796 | 9.96 | 1120 | 0.4794 | 0.87 |