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Jekaterina/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a machine learning model from Jekaterina. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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 |
|---|---|---|---|---|
| 2.1543 | 1.0 | 57 | 2.0380 | 0.53 |
| 1.5511 | 2.0 | 114 | 1.4662 | 0.64 |
| 1.2385 | 3.0 | 171 | 1.1992 | 0.67 |
| 0.8789 | 4.0 | 228 | 1.0423 | 0.68 |
| 0.818 | 5.0 | 285 | 0.7940 | 0.8 |
| 0.6487 | 6.0 | 342 | 0.7579 | 0.74 |
| 0.635 | 7.0 | 399 | 0.7074 | 0.79 |
| 0.4116 | 8.0 | 456 | 0.6650 | 0.8 |
| 0.3642 | 9.0 | 513 | 0.6494 | 0.82 |
| 0.396 | 10.0 | 570 | 0.6237 | 0.83 |