Downloads · 30 days
26
30% of all-time downloads
Nakkur/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from Nakkur. 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
26
30% of all-time downloads
All-time downloads
86
Public
Parameters
23.7M
1.5 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors94.8 MB · 100%
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 |
|---|---|---|---|---|
| 1.9571 | 1.0 | 113 | 1.8879 | 0.46 |
| 1.1983 | 2.0 | 226 | 1.2678 | 0.68 |
| 1.0537 | 3.0 | 339 | 0.9770 | 0.77 |
| 0.6181 | 4.0 | 452 | 0.8200 | 0.73 |
| 0.5443 | 5.0 | 565 | 0.6680 | 0.82 |
| 0.3141 | 6.0 | 678 | 0.5786 | 0.83 |
| 0.3448 | 7.0 | 791 | 0.5776 | 0.84 |
| 0.1548 | 8.0 | 904 | 0.5896 | 0.83 |
| 0.1473 | 9.0 | 1017 | 0.5285 | 0.86 |
| 0.1135 | 10.0 | 1130 | 0.5313 | 0.87 |