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atokuw/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from atokuw. 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 |
|---|---|---|---|---|
| 1.9263 | 1.0 | 113 | 1.8569 | 0.5 |
| 1.1988 | 2.0 | 226 | 1.2287 | 0.7 |
| 1.0255 | 3.0 | 339 | 0.9869 | 0.73 |
| 0.6431 | 4.0 | 452 | 0.8331 | 0.74 |
| 0.4614 | 5.0 | 565 | 0.6698 | 0.83 |
| 0.3791 | 6.0 | 678 | 0.5157 | 0.87 |
| 0.2296 | 7.0 | 791 | 0.5229 | 0.86 |
| 0.0998 | 8.0 | 904 | 0.6168 | 0.84 |
| 0.1247 | 9.0 | 1017 | 0.5637 | 0.83 |
| 0.0802 | 10.0 | 1130 | 0.5418 | 0.84 |