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atishayj281/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from atishayj281. 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 |
|---|---|---|---|---|
| 1.9964 | 1.0 | 113 | 1.9044 | 0.5 |
| 1.2197 | 2.0 | 226 | 1.2592 | 0.65 |
| 1.0464 | 3.0 | 339 | 0.9483 | 0.79 |
| 0.7262 | 4.0 | 452 | 0.8780 | 0.72 |
| 0.5258 | 5.0 | 565 | 0.7067 | 0.8 |
| 0.4541 | 6.0 | 678 | 0.6637 | 0.79 |
| 0.267 | 7.0 | 791 | 0.6497 | 0.81 |
| 0.1446 | 8.0 | 904 | 0.7046 | 0.8 |
| 0.1388 | 9.0 | 1017 | 0.6918 | 0.81 |
| 0.0998 | 10.0 | 1130 | 0.6997 | 0.8 |