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igoeldc/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from igoeldc. 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 |
|---|---|---|---|---|
| 2.0183 | 1.0 | 65 | 1.9568 | 0.42 |
| 1.7065 | 2.0 | 130 | 1.4569 | 0.57 |
| 1.2068 | 3.0 | 195 | 1.1678 | 0.72 |
| 0.9065 | 4.0 | 260 | 0.9721 | 0.74 |
| 0.8115 | 5.0 | 325 | 0.8377 | 0.8 |
| 0.7854 | 6.0 | 390 | 0.7654 | 0.84 |
| 0.4885 | 7.0 | 455 | 0.7544 | 0.8 |
| 0.5956 | 8.0 | 520 | 0.7321 | 0.87 |