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Arch4ngel/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from Arch4ngel. 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
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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 |
|---|---|---|---|---|
| 1.9881 | 1.0 | 113 | 1.8088 | 0.45 |
| 1.4015 | 2.0 | 226 | 1.2665 | 0.63 |
| 1.0325 | 3.0 | 339 | 0.9793 | 0.72 |
| 0.8844 | 4.0 | 452 | 0.8951 | 0.73 |
| 0.5932 | 5.0 | 565 | 0.7416 | 0.76 |
| 0.3958 | 6.0 | 678 | 0.6143 | 0.79 |
| 0.446 | 7.0 | 791 | 0.5115 | 0.83 |
| 0.1893 | 8.0 | 904 | 0.4992 | 0.85 |
| 0.24 | 9.0 | 1017 | 0.5084 | 0.85 |
| 0.1947 | 10.0 | 1130 | 0.5362 | 0.82 |