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bochen0909/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from bochen0909. 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 |
|---|---|---|---|---|
| 2.0594 | 1.0 | 75 | 1.9411 | 0.59 |
| 1.4643 | 2.0 | 150 | 1.3450 | 0.72 |
| 1.1926 | 3.0 | 225 | 1.1038 | 0.7 |
| 0.9126 | 4.0 | 300 | 0.9084 | 0.71 |
| 0.6716 | 5.0 | 375 | 0.7864 | 0.77 |
| 0.5595 | 6.0 | 450 | 0.6647 | 0.8 |
| 0.4235 | 7.0 | 525 | 0.6587 | 0.8 |
| 0.3118 | 8.0 | 600 | 0.6317 | 0.81 |
| 0.2283 | 9.0 | 675 | 0.5696 | 0.84 |
| 0.264 | 10.0 | 750 | 0.5454 | 0.84 |