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syncopation-transformer-combined
efraimdahl/syncopation-transformer-combined
syncopation-transformer-combined 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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At a glance
- Library
- transformers
- Access
- Public
- Created
- Jun 9, 2025
- Updated
- Jun 9, 2025
- SHA
- ebf1f118
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
syncopation-transformer-combined
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0537
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 5
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1919 | 1.0 | 4350 | 0.0718 |
| 0.0072 | 2.0 | 8700 | 0.0734 |
| 0.0009 | 3.0 | 13050 | 0.0603 |
| 0.049 | 4.0 | 17400 | 0.0770 |
| 0.0496 | 5.0 | 21750 | 0.0554 |
| 0.001 | 6.0 | 26100 | 0.0565 |
| 0.0027 | 7.0 | 30450 | 0.0561 |
| 0.0041 | 8.0 | 34800 | 0.0607 |
| 0.0273 | 9.0 | 39150 | 0.0565 |
| 0.0344 | 10.0 | 43500 | 0.0580 |
| 0.0246 | 11.0 | 47850 | 0.0557 |
| 0.0187 | 12.0 | 52200 | 0.0624 |
| 0.0828 | 13.0 | 56550 | 0.0523 |
| 0.059 | 14.0 | 60900 | 0.0537 |
| 0.2687 | 15.0 | 65250 | 0.0561 |
| 0.0593 | 16.0 | 69600 | 0.0565 |
| 0.0015 | 17.0 | 73950 | 0.0541 |
| 0.0023 | 18.0 | 78300 | 0.0558 |
| 0.0001 | 19.0 | 82650 | 0.0532 |
| 0.0026 | 20.0 | 87000 | 0.0547 |
| 0.0339 | 21.0 | 91350 | 0.0543 |
| 0.001 | 22.0 | 95700 | 0.0567 |
| 0.0553 | 23.0 | 100050 | 0.0545 |
| 0.0038 | 24.0 | 104400 | 0.0536 |
| 0.012 | 25.0 | 108750 | 0.0537 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- transformers
- Created
- Jun 9, 2025
- Updated
- Jun 9, 2025