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DanGalt/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from DanGalt. 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 |
|---|---|---|---|---|
| 1.5923 | 1.0 | 113 | 1.7310 | 0.44 |
| 1.2071 | 2.0 | 226 | 1.2546 | 0.62 |
| 1.0673 | 3.0 | 339 | 0.9320 | 0.76 |
| 0.8149 | 4.0 | 452 | 0.8768 | 0.81 |
| 0.4999 | 5.0 | 565 | 0.7154 | 0.86 |
| 0.3562 | 6.0 | 678 | 0.6631 | 0.89 |
| 0.3852 | 7.0 | 791 | 0.7136 | 0.87 |
| 0.4476 | 8.0 | 904 | 0.7162 | 0.88 |