zul-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.1438
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 |
|---|---|---|---|
| 6.0708 | 1.0 | 1051 | 5.4675 |
| 5.1225 | 2.0 | 2102 | 4.9785 |
| 4.7095 | 3.0 | 3153 | 4.6821 |
| 4.4291 | 4.0 | 4204 | 4.4960 |
| 4.2132 | 5.0 | 5255 | 4.3631 |
| 4.0546 | 6.0 | 6306 | 4.2775 |
| 3.9297 | 7.0 | 7357 | 4.2171 |
| 3.8125 | 8.0 | 8408 | 4.1767 |
| 3.7475 | 9.0 | 9459 | 4.1505 |
| 3.6982 | 10.0 | 10510 | 4.1438 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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