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efraimdahl/syncopation-transformer-metric
syncopation-transformer-metric is a machine learning model from efraimdahl. Use it for the machine learning 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. --
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From the Hugging Face model README
This model is a fine-tuned version of 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 | Validation Loss |
|---|---|---|---|
| 0.1711 | 1.0 | 4350 | 0.0656 |
| 0.0034 | 2.0 | 8700 | 0.0673 |
| 0.0025 | 3.0 | 13050 | 0.0610 |
| 0.0408 | 4.0 | 17400 | 0.0610 |
| 0.056 | 5.0 | 21750 | 0.0575 |
| 0.0071 | 6.0 | 26100 | 0.0570 |
| 0.0063 | 7.0 | 30450 | 0.0587 |
| 0.0018 | 8.0 | 34800 | 0.0588 |
| 0.0259 | 9.0 | 39150 | 0.0562 |
| 0.0155 | 10.0 | 43500 | 0.0606 |
| 0.0137 | 11.0 | 47850 | 0.0571 |
| 0.0217 | 12.0 | 52200 | 0.0635 |
| 0.0795 | 13.0 | 56550 | 0.0557 |
| 0.0279 | 14.0 | 60900 | 0.0559 |
| 0.3003 | 15.0 | 65250 | 0.0566 |
| 0.0821 | 16.0 | 69600 | 0.0576 |
| 0.0049 | 17.0 | 73950 | 0.0542 |
| 0.0006 | 18.0 | 78300 | 0.0565 |
| 0.0002 | 19.0 | 82650 | 0.0552 |
| 0.0024 | 20.0 | 87000 | 0.0553 |
| 0.033 | 21.0 | 91350 | 0.0545 |
| 0.0002 | 22.0 | 95700 | 0.0567 |
| 0.1018 | 23.0 | 100050 | 0.0546 |
| 0.0013 | 24.0 | 104400 | 0.0537 |
| 0.0165 | 25.0 | 108750 | 0.0544 |