Downloads · 30 days
6
1% of all-time downloads
Daniel981215/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from Daniel981215. 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
6
1% of all-time downloads
All-time downloads
506
Public
Parameters
23.7M
2.8 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 |
|---|---|---|---|---|
| 1.978 | 1.0 | 113 | 1.8421 | 0.37 |
| 1.3409 | 2.0 | 226 | 1.2195 | 0.59 |
| 1.04 | 3.0 | 339 | 0.9709 | 0.71 |
| 0.9141 | 4.0 | 452 | 0.8523 | 0.79 |
| 0.5192 | 5.0 | 565 | 0.6483 | 0.83 |
| 0.3506 | 6.0 | 678 | 0.5827 | 0.84 |
| 0.3316 | 7.0 | 791 | 0.4703 | 0.88 |
| 0.1275 | 8.0 | 904 | 0.4937 | 0.86 |
| 0.2109 | 9.0 | 1017 | 0.4971 | 0.86 |
| 0.1213 | 10.0 | 1130 | 0.5277 | 0.87 |