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sophiaaez/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from sophiaaez. 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 |
|---|---|---|---|---|
| 2.0711 | 1.0 | 75 | 1.9438 | 0.49 |
| 1.4944 | 2.0 | 150 | 1.4307 | 0.53 |
| 1.2562 | 3.0 | 225 | 1.2180 | 0.65 |
| 0.9436 | 4.0 | 300 | 1.0209 | 0.71 |
| 0.7543 | 5.0 | 375 | 0.9073 | 0.73 |
| 0.5742 | 6.0 | 450 | 0.8047 | 0.75 |
| 0.4728 | 7.0 | 525 | 0.7736 | 0.78 |
| 0.3622 | 8.0 | 600 | 0.7412 | 0.78 |
| 0.2447 | 9.0 | 675 | 0.7117 | 0.79 |
| 0.2692 | 10.0 | 750 | 0.7146 | 0.79 |