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AltamashAhmed/distilHuBERT-finetuned-gtzan
distilHuBERT-finetuned-gtzan is a audio classification model from AltamashAhmed. 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 |
|---|---|---|---|---|
| 1.9277 | 1.0 | 113 | 1.7812 | 0.41 |
| 1.3526 | 2.0 | 226 | 1.1616 | 0.67 |
| 1.043 | 3.0 | 339 | 0.8962 | 0.78 |
| 0.8494 | 4.0 | 452 | 0.8234 | 0.76 |
| 0.5931 | 5.0 | 565 | 0.7085 | 0.78 |
| 0.3861 | 6.0 | 678 | 0.6669 | 0.8 |
| 0.4828 | 7.0 | 791 | 0.5674 | 0.86 |
| 0.2302 | 8.0 | 904 | 0.5657 | 0.85 |