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StatsGary/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from StatsGary. 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 |
|---|---|---|---|---|
| 0.5455 | 1.0 | 57 | 0.7144 | 0.76 |
| 0.5342 | 2.0 | 114 | 0.8039 | 0.75 |
| 0.1636 | 3.0 | 171 | 0.6388 | 0.83 |
| 0.1868 | 4.0 | 228 | 0.6027 | 0.81 |
| 0.0643 | 5.0 | 285 | 0.6728 | 0.83 |
| 0.0418 | 6.0 | 342 | 0.6726 | 0.82 |
| 0.0925 | 7.0 | 399 | 0.9795 | 0.81 |
| 0.0047 | 8.0 | 456 | 1.0072 | 0.82 |
| 0.0296 | 9.0 | 513 | 0.9450 | 0.82 |
| 0.0031 | 10.0 | 570 | 0.9462 | 0.82 |