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MariaK/distilhubert-finetuned-gtzan-test
distilhubert-finetuned-gtzan-test is a audio classification model from MariaK. 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 |
|---|---|---|---|---|
| 1.9966 | 1.0 | 113 | 1.8241 | 0.58 |
| 1.2799 | 2.0 | 226 | 1.1448 | 0.7 |
| 0.9706 | 3.0 | 339 | 0.8798 | 0.74 |
| 0.8157 | 4.0 | 452 | 0.7674 | 0.76 |
| 0.4817 | 5.0 | 565 | 0.6875 | 0.76 |
| 0.3667 | 6.0 | 678 | 0.6378 | 0.78 |
| 0.4579 | 7.0 | 791 | 0.5703 | 0.85 |
| 0.1763 | 8.0 | 904 | 0.5789 | 0.83 |
| 0.2325 | 9.0 | 1017 | 0.5849 | 0.82 |
| 0.157 | 10.0 | 1130 | 0.6090 | 0.83 |