pol-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4161
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: 16
- 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 |
|---|---|---|---|
| 4.8337 | 1.0 | 1955 | 4.3347 |
| 4.1826 | 2.0 | 3910 | 3.9914 |
| 3.9266 | 3.0 | 5865 | 3.7995 |
| 3.7688 | 4.0 | 7820 | 3.6737 |
| 3.6598 | 5.0 | 9775 | 3.5863 |
| 3.5791 | 6.0 | 11730 | 3.5274 |
| 3.5175 | 7.0 | 13685 | 3.4823 |
| 3.471 | 8.0 | 15640 | 3.4480 |
| 3.4353 | 9.0 | 17595 | 3.4264 |
| 3.4112 | 10.0 | 19550 | 3.4161 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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