Downloads · 30 days
4
1% of all-time downloads
giocs2017/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from giocs2017. 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
4
1% of all-time downloads
All-time downloads
407
Public
Repo size
6.8 GB
Likes
0
Public
Click a slice to open those files.
.bin94.8 MB · 99%
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 |
|---|---|---|---|---|
| 1.681 | 1.0 | 450 | 1.7351 | 0.5 |
| 1.5534 | 2.0 | 900 | 1.2192 | 0.66 |
| 0.6835 | 3.0 | 1350 | 1.0462 | 0.71 |
| 1.069 | 4.0 | 1800 | 0.5503 | 0.83 |
| 0.1563 | 5.0 | 2250 | 0.9394 | 0.78 |
| 0.0077 | 6.0 | 2700 | 0.9394 | 0.81 |
| 0.7444 | 7.0 | 3150 | 0.8934 | 0.82 |