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Anandbheesetti/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from Anandbheesetti. 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 |
|---|---|---|---|---|
| 1.9891 | 1.0 | 113 | 1.7680 | 0.58 |
| 1.2818 | 2.0 | 226 | 1.1801 | 0.71 |
| 0.9982 | 3.0 | 339 | 0.8881 | 0.74 |
| 0.8869 | 4.0 | 452 | 0.8042 | 0.74 |
| 0.6289 | 5.0 | 565 | 0.6705 | 0.79 |
| 0.3517 | 6.0 | 678 | 0.7414 | 0.76 |
| 0.4231 | 7.0 | 791 | 0.6173 | 0.8 |
| 0.1683 | 8.0 | 904 | 0.6099 | 0.81 |
| 0.2072 | 9.0 | 1017 | 0.5874 | 0.83 |
| 0.1365 | 10.0 | 1130 | 0.5925 | 0.83 |