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Siddartha10/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from Siddartha10. 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:
This is a distilhubert model finetuned on gtzan for music classification.
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.4758 | 1.0 | 113 | 1.4456 | 0.56 |
| 0.9722 | 2.0 | 226 | 1.0866 | 0.65 |
| 0.8148 | 3.0 | 339 | 0.8447 | 0.79 |
| 0.531 | 4.0 | 452 | 0.7676 | 0.76 |
| 0.3591 | 5.0 | 565 | 0.6793 | 0.8 |
| 0.2623 | 6.0 | 678 | 0.6151 | 0.83 |
| 0.1858 | 7.0 | 791 | 0.6248 | 0.84 |
| 0.06 | 8.0 | 904 | 0.7053 | 0.81 |
| 0.0818 | 9.0 | 1017 | 0.6606 | 0.81 |
| 0.0498 | 10.0 | 1130 | 0.6665 | 0.82 |