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AdanLee/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from AdanLee. 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 |
|---|---|---|---|---|
| 2.0567 | 1.0 | 113 | 1.8854 | 0.53 |
| 1.3125 | 2.0 | 226 | 1.2433 | 0.65 |
| 1.0641 | 3.0 | 339 | 0.8965 | 0.79 |
| 0.8328 | 4.0 | 452 | 0.8620 | 0.71 |
| 0.6089 | 5.0 | 565 | 0.6442 | 0.82 |
| 0.3886 | 6.0 | 678 | 0.5787 | 0.82 |
| 0.4292 | 7.0 | 791 | 0.5542 | 0.84 |
| 0.1236 | 8.0 | 904 | 0.4888 | 0.86 |
| 0.1899 | 9.0 | 1017 | 0.4964 | 0.85 |
| 0.0825 | 10.0 | 1130 | 0.4998 | 0.9 |
| 0.0488 | 11.0 | 1243 | 0.5106 | 0.88 |
| 0.0353 | 12.0 | 1356 | 0.5133 | 0.87 |