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RiKrim/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from RiKrim. 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 |
|---|---|---|---|---|
| 1.9777 | 1.0 | 113 | 1.9024 | 0.53 |
| 1.182 | 2.0 | 226 | 1.2810 | 0.65 |
| 1.0383 | 3.0 | 339 | 1.0333 | 0.69 |
| 0.6542 | 4.0 | 452 | 0.8852 | 0.72 |
| 0.5535 | 5.0 | 565 | 0.7139 | 0.8 |
| 0.4759 | 6.0 | 678 | 0.5840 | 0.84 |
| 0.2856 | 7.0 | 791 | 0.5523 | 0.83 |
| 0.145 | 8.0 | 904 | 0.6314 | 0.8 |
| 0.2693 | 9.0 | 1017 | 0.5722 | 0.82 |
| 0.1714 | 10.0 | 1130 | 0.5892 | 0.8 |