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Varine/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from Varine. 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 |
|---|---|---|---|---|
| 1.9378 | 1.0 | 113 | 1.8274 | 0.51 |
| 1.1834 | 2.0 | 226 | 1.2481 | 0.57 |
| 1.0385 | 3.0 | 339 | 0.9500 | 0.73 |
| 0.6567 | 4.0 | 452 | 0.8293 | 0.74 |
| 0.5658 | 5.0 | 565 | 0.6914 | 0.81 |
| 0.4314 | 6.0 | 678 | 0.6027 | 0.81 |
| 0.2145 | 7.0 | 791 | 0.5902 | 0.81 |
| 0.1052 | 8.0 | 904 | 0.6030 | 0.8 |
| 0.1014 | 9.0 | 1017 | 0.6204 | 0.83 |
| 0.0866 | 10.0 | 1130 | 0.5946 | 0.84 |