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kenagapito/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from kenagapito. 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 |
|---|---|---|---|---|
| 1.0684 | 1.0 | 113 | 1.7043 | 0.39 |
| 1.1044 | 2.0 | 226 | 1.0855 | 0.62 |
| 0.84 | 3.0 | 339 | 1.0662 | 0.67 |
| 0.6802 | 4.0 | 452 | 0.7272 | 0.75 |
| 0.4728 | 5.0 | 565 | 0.6389 | 0.86 |
| 0.4119 | 6.0 | 678 | 0.8692 | 0.78 |
| 0.0436 | 7.0 | 791 | 1.0113 | 0.82 |
| 0.0082 | 8.0 | 904 | 0.8984 | 0.83 |
| 0.0442 | 9.0 | 1017 | 1.0056 | 0.81 |
| 0.0024 | 10.0 | 1130 | 0.9412 | 0.81 |