hrv-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1520
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: 0.0001
- train_batch_size: 8
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.1082 | 1.0 | 446 | 3.6385 |
| 3.5919 | 2.0 | 892 | 3.4766 |
| 3.4437 | 3.0 | 1338 | 3.3740 |
| 3.3418 | 4.0 | 1784 | 3.3088 |
| 3.2561 | 5.0 | 2230 | 3.2540 |
| 3.1877 | 6.0 | 2676 | 3.2125 |
| 3.1292 | 7.0 | 3122 | 3.1853 |
| 3.0788 | 8.0 | 3568 | 3.1678 |
| 3.0454 | 9.0 | 4014 | 3.1556 |
| 3.0214 | 10.0 | 4460 | 3.1520 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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