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mkadiyala/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from mkadiyala. 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
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 |
|---|---|---|---|---|
| 0.366 | 1.0 | 225 | 1.2412 | 0.84 |
| 0.0 | 2.0 | 450 | 1.3556 | 0.85 |
| 0.0 | 3.0 | 675 | 1.2284 | 0.86 |
| 0.0 | 4.0 | 900 | 1.2393 | 0.87 |
| 0.4097 | 4.9789 | 1120 | 1.2205 | 0.87 |