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ptah23/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from ptah23. 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 | Accuracy | Validation Loss |
|---|---|---|---|---|
| 2.0326 | 1.0 | 113 | 0.45 | 1.8397 |
| 1.3293 | 2.0 | 226 | 0.64 | 1.2497 |
| 0.9968 | 3.0 | 339 | 0.75 | 0.9469 |
| 0.8413 | 4.0 | 452 | 0.76 | 0.8033 |
| 0.6769 | 5.0 | 565 | 0.8 | 0.6373 |
| 0.3725 | 6.0 | 678 | 0.6338 | 0.8 |
| 0.4498 | 7.0 | 791 | 0.5539 | 0.85 |
| 0.2232 | 8.0 | 904 | 0.5405 | 0.83 |
| 0.2456 | 9.0 | 1017 | 0.5259 | 0.85 |
| 0.1777 | 10.0 | 1130 | 0.5555 | 0.84 |