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fmagot01/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from fmagot01. 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 |
|---|---|---|---|---|
| 1.9649 | 1.0 | 113 | 1.7979 | 0.47 |
| 1.3283 | 2.0 | 226 | 1.1892 | 0.64 |
| 0.9491 | 3.0 | 339 | 0.9385 | 0.76 |
| 0.8013 | 4.0 | 452 | 0.8300 | 0.72 |
| 0.6314 | 5.0 | 565 | 0.6822 | 0.8 |
| 0.322 | 6.0 | 678 | 0.7438 | 0.8 |
| 0.4727 | 7.0 | 791 | 0.5545 | 0.83 |
| 0.1464 | 8.0 | 904 | 0.5576 | 0.86 |
| 0.2615 | 9.0 | 1017 | 0.5783 | 0.83 |
| 0.1233 | 10.0 | 1130 | 0.6319 | 0.84 |