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MacByner/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from MacByner. 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. --
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From the Hugging Face model README
<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>
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 |
|---|---|---|---|---|
| 1.3647 | 1.0 | 899 | 1.2020 | 0.65 |
| 1.0999 | 2.0 | 1798 | 1.1490 | 0.7 |
| 0.1482 | 3.0 | 2697 | 1.0125 | 0.73 |