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IHHI/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from IHHI. 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 |
|---|---|---|---|---|
| 2.0156 | 1.0 | 113 | 1.8462 | 0.54 |
| 1.3084 | 2.0 | 226 | 1.2329 | 0.65 |
| 0.9907 | 3.0 | 339 | 0.9459 | 0.75 |
| 0.8074 | 4.0 | 452 | 0.8194 | 0.72 |
| 0.6345 | 5.0 | 565 | 0.6655 | 0.8 |
| 0.3738 | 6.0 | 678 | 0.5998 | 0.81 |
| 0.4494 | 7.0 | 791 | 0.5768 | 0.85 |
| 0.1849 | 8.0 | 904 | 0.5636 | 0.85 |
| 0.2193 | 9.0 | 1017 | 0.5421 | 0.86 |
| 0.1552 | 10.0 | 1130 | 0.5608 | 0.84 |