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syncopation-transformer-metric-disentagled
efraimdahl/syncopation-transformer-metric-disentagled
syncopation-transformer-metric-disentagled 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
- 253721ec
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-metric-disentagled
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0888
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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2002 | 1.0 | 4350 | 0.1469 |
| 0.0081 | 2.0 | 8700 | 0.1376 |
| 0.1583 | 3.0 | 13050 | 0.1229 |
| 0.13 | 4.0 | 17400 | 0.1156 |
| 0.1405 | 5.0 | 21750 | 0.1053 |
| 0.0125 | 6.0 | 26100 | 0.1015 |
| 0.0147 | 7.0 | 30450 | 0.0969 |
| 0.0023 | 8.0 | 34800 | 0.0973 |
| 0.0914 | 9.0 | 39150 | 0.0944 |
| 0.0287 | 10.0 | 43500 | 0.0958 |
| 0.0355 | 11.0 | 47850 | 0.0943 |
| 0.029 | 12.0 | 52200 | 0.0972 |
| 0.0927 | 13.0 | 56550 | 0.0910 |
| 0.0487 | 14.0 | 60900 | 0.0958 |
| 0.5498 | 15.0 | 65250 | 0.0974 |
| 0.0859 | 16.0 | 69600 | 0.0990 |
| 0.0321 | 17.0 | 73950 | 0.0944 |
| 0.0314 | 18.0 | 78300 | 0.0932 |
| 0.0017 | 19.0 | 82650 | 0.0946 |
| 0.0043 | 20.0 | 87000 | 0.0919 |
| 0.0617 | 21.0 | 91350 | 0.0942 |
| 0.0026 | 22.0 | 95700 | 0.0912 |
| 0.1839 | 23.0 | 100050 | 0.0906 |
| 0.0059 | 24.0 | 104400 | 0.0903 |
| 0.0469 | 25.0 | 108750 | 0.0964 |
| 0.0632 | 26.0 | 113100 | 0.0935 |
| 0.3662 | 27.0 | 117450 | 0.0911 |
| 0.0097 | 28.0 | 121800 | 0.0929 |
| 0.0441 | 29.0 | 126150 | 0.0903 |
| 0.0297 | 30.0 | 130500 | 0.0904 |
| 0.0791 | 31.0 | 134850 | 0.0919 |
| 0.0286 | 32.0 | 139200 | 0.0932 |
| 0.4319 | 33.0 | 143550 | 0.0894 |
| 0.1246 | 34.0 | 147900 | 0.0902 |
| 0.0876 | 35.0 | 152250 | 0.0882 |
| 0.0029 | 36.0 | 156600 | 0.0907 |
| 0.0065 | 37.0 | 160950 | 0.0907 |
| 0.027 | 38.0 | 165300 | 0.0905 |
| 0.0006 | 39.0 | 169650 | 0.0895 |
| 0.0024 | 40.0 | 174000 | 0.0881 |
| 0.0646 | 41.0 | 178350 | 0.0886 |
| 0.0041 | 42.0 | 182700 | 0.0886 |
| 0.2318 | 43.0 | 187050 | 0.0890 |
| 0.1015 | 44.0 | 191400 | 0.0889 |
| 0.0168 | 45.0 | 195750 | 0.0880 |
| 0.012 | 46.0 | 200100 | 0.0900 |
| 0.4302 | 47.0 | 204450 | 0.0880 |
| 0.0059 | 48.0 | 208800 | 0.0889 |
| 0.0298 | 49.0 | 213150 | 0.0883 |
| 0.0221 | 50.0 | 217500 | 0.0888 |
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