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davanstrien/distilhubert-finetuned-AESDD
distilhubert-finetuned-AESDD is a audio classification model from davanstrien. 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 aesdd 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 |
|---|---|---|---|---|
| 1.1249 | 1.0 | 68 | 1.1905 | 0.5082 |
| 0.7441 | 2.0 | 136 | 0.8850 | 0.6721 |
| 0.5941 | 3.0 | 204 | 0.6579 | 0.8361 |
| 0.4349 | 4.0 | 272 | 0.9638 | 0.6721 |
| 0.2612 | 5.0 | 340 | 0.5081 | 0.8689 |
| 0.1883 | 6.0 | 408 | 0.6223 | 0.8197 |
| 0.0978 | 7.0 | 476 | 0.4671 | 0.8689 |
| 0.0425 | 8.0 | 544 | 0.4338 | 0.8852 |
| 0.0264 | 9.0 | 612 | 0.4488 | 0.8525 |
| 0.0219 | 10.0 | 680 | 0.4389 | 0.9016 |