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cryptoque/distilhubert-finetuned-gtzan-v2
distilhubert-finetuned-gtzan-v2 is a audio classification model from cryptoque. 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 |
|---|---|---|---|---|
| 0.1489 | 1.0 | 113 | 2.2978 | 0.74 |
| 0.0001 | 2.0 | 226 | 2.2070 | 0.78 |
| 0.3174 | 3.0 | 339 | 1.7906 | 0.8 |
| 0.0001 | 4.0 | 452 | 1.5376 | 0.81 |
| 0.0 | 5.0 | 565 | 1.4012 | 0.85 |
| 0.0001 | 6.0 | 678 | 1.2597 | 0.87 |
| 0.0001 | 7.0 | 791 | 1.5363 | 0.86 |
| 0.0001 | 8.0 | 904 | 1.5298 | 0.86 |
| 0.0 | 9.0 | 1017 | 1.5277 | 0.86 |
| 0.0 | 10.0 | 1130 | 1.5298 | 0.86 |