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Bhanu9Prakash/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from Bhanu9Prakash. 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 |
|---|---|---|---|---|
| 1.9857 | 1.0 | 113 | 1.7744 | 0.55 |
| 1.2769 | 2.0 | 226 | 1.1405 | 0.71 |
| 1.0336 | 3.0 | 339 | 0.8697 | 0.75 |
| 0.9106 | 4.0 | 452 | 0.8546 | 0.72 |
| 0.5839 | 5.0 | 565 | 0.5701 | 0.86 |
| 0.3163 | 6.0 | 678 | 0.5471 | 0.8 |
| 0.3682 | 7.0 | 791 | 0.4865 | 0.83 |
| 0.1245 | 8.0 | 904 | 0.4407 | 0.88 |
| 0.1412 | 9.0 | 1017 | 0.4737 | 0.84 |
| 0.1531 | 10.0 | 1130 | 0.4719 | 0.85 |