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selinawisco/result_2
result_2 is a audio classification model from selinawisco. 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.
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 was trained from scratch on an unknown 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 | Accuracy | Validation Loss |
|---|---|---|---|---|
| 0.19 | 1.0 | 90 | 0.9620 | 0.1504 |
| 0.1041 | 1.99 | 180 | 0.9744 | 0.0753 |
| 0.0463 | 2.99 | 270 | 0.9972 | 0.0106 |
| 0.0003 | 4.0 | 361 | 0.9965 | 0.0354 |
| 0.0 | 5.0 | 451 | 0.9910 | 0.1336 |
| 0.0 | 5.99 | 541 | 0.9959 | 0.0548 |
| 0.0654 | 6.99 | 631 | 0.9952 | 0.0685 |
| 0.0617 | 8.0 | 722 | 0.9972 | 0.0307 |
| 0.0 | 9.0 | 812 | 0.9959 | 0.0454 |
| 0.0 | 9.99 | 902 | 0.9972 | 0.0382 |
| 0.0 | 10.99 | 992 | 0.9979 | 0.0365 |
| 0.0 | 11.12 | 1001 | 10.7026 | 0.4058 |