por-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2668
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 |
|---|---|---|---|
| 4.527 | 1.0 | 2314 | 4.0802 |
| 3.9128 | 2.0 | 4628 | 3.7508 |
| 3.6847 | 3.0 | 6942 | 3.5877 |
| 3.5497 | 4.0 | 9256 | 3.4860 |
| 3.4561 | 5.0 | 11570 | 3.4137 |
| 3.3872 | 6.0 | 13884 | 3.3626 |
| 3.3332 | 7.0 | 16198 | 3.3229 |
| 3.2912 | 8.0 | 18512 | 3.2949 |
| 3.2602 | 9.0 | 20826 | 3.2742 |
| 3.2378 | 10.0 | 23140 | 3.2668 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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