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tonyleigh/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from tonyleigh. 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 |
|---|---|---|---|---|
| 1.9088 | 1.0 | 113 | 1.8587 | 0.53 |
| 1.1353 | 2.0 | 226 | 1.3107 | 0.55 |
| 1.0078 | 3.0 | 339 | 1.0816 | 0.7 |
| 0.6225 | 4.0 | 452 | 0.8038 | 0.73 |
| 0.5517 | 5.0 | 565 | 0.6306 | 0.86 |
| 0.3483 | 6.0 | 678 | 0.5413 | 0.85 |
| 0.2699 | 7.0 | 791 | 0.4952 | 0.88 |
| 0.1302 | 8.0 | 904 | 0.5480 | 0.87 |
| 0.1339 | 9.0 | 1017 | 0.5190 | 0.86 |
| 0.0934 | 10.0 | 1130 | 0.5412 | 0.85 |