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Marco-Cheung/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from Marco-Cheung. 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 |
|---|---|---|---|---|
| 1.9825 | 1.0 | 113 | 1.7658 | 0.48 |
| 1.2943 | 2.0 | 226 | 1.2478 | 0.65 |
| 0.9837 | 3.0 | 339 | 0.9757 | 0.71 |
| 0.8201 | 4.0 | 452 | 0.8420 | 0.72 |
| 0.5363 | 5.0 | 565 | 0.6741 | 0.83 |
| 0.3417 | 6.0 | 678 | 0.7083 | 0.76 |
| 0.4129 | 7.0 | 791 | 0.5941 | 0.81 |
| 0.1681 | 8.0 | 904 | 0.5954 | 0.84 |
| 0.2398 | 9.0 | 1017 | 0.5819 | 0.85 |
| 0.1346 | 10.0 | 1130 | 0.5933 | 0.83 |