Downloads · 30 days
5
8% of all-time downloads
toobarah/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from toobarah. 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
5
8% of all-time downloads
All-time downloads
66
Public
Parameters
23.7M
758 MB 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 |
|---|---|---|---|---|
| 1.9502 | 1.0 | 113 | 1.8173 | 0.51 |
| 1.158 | 2.0 | 226 | 1.2083 | 0.66 |
| 1.0449 | 3.0 | 339 | 0.9982 | 0.72 |
| 0.6551 | 4.0 | 452 | 0.8525 | 0.74 |
| 0.6113 | 5.0 | 565 | 0.6691 | 0.79 |
| 0.3833 | 6.0 | 678 | 0.5650 | 0.86 |
| 0.3299 | 7.0 | 791 | 0.6234 | 0.8 |
| 0.1141 | 8.0 | 904 | 0.5559 | 0.81 |
| 0.1356 | 9.0 | 1017 | 0.5724 | 0.8 |
| 0.1051 | 10.0 | 1130 | 0.5809 | 0.79 |