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Inna2024/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a machine learning model from Inna2024. 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 |
|---|---|---|---|---|
| 1.9652 | 1.0 | 113 | 1.8832 | 0.5 |
| 1.2497 | 2.0 | 226 | 1.2806 | 0.65 |
| 1.0676 | 3.0 | 339 | 1.1166 | 0.69 |
| 0.7009 | 4.0 | 452 | 0.8046 | 0.74 |
| 0.5516 | 5.0 | 565 | 0.6939 | 0.82 |
| 0.3408 | 6.0 | 678 | 0.6569 | 0.81 |
| 0.2182 | 7.0 | 791 | 0.6058 | 0.83 |
| 0.1275 | 8.0 | 904 | 0.6321 | 0.83 |
| 0.1099 | 9.0 | 1017 | 0.6475 | 0.85 |
| 0.0792 | 10.0 | 1130 | 0.6415 | 0.84 |