ban-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3749
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 |
|---|---|---|---|
| 6.1 | 1.0 | 1441 | 5.5202 |
| 5.1504 | 2.0 | 2882 | 5.1081 |
| 4.7605 | 3.0 | 4323 | 4.8561 |
| 4.4894 | 4.0 | 5764 | 4.6864 |
| 4.259 | 5.0 | 7205 | 4.5638 |
| 4.073 | 6.0 | 8646 | 4.4827 |
| 3.9165 | 7.0 | 10087 | 4.4265 |
| 3.7926 | 8.0 | 11528 | 4.3938 |
| 3.6876 | 9.0 | 12969 | 4.3804 |
| 3.6071 | 10.0 | 14410 | 4.3749 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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