ita-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5073
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 |
|---|---|---|---|
| 5.2121 | 1.0 | 2543 | 4.5908 |
| 4.3733 | 2.0 | 5086 | 4.1698 |
| 4.0761 | 3.0 | 7629 | 3.9510 |
| 3.8942 | 4.0 | 10172 | 3.8011 |
| 3.7669 | 5.0 | 12715 | 3.6982 |
| 3.6724 | 6.0 | 15258 | 3.6276 |
| 3.6021 | 7.0 | 17801 | 3.5765 |
| 3.5484 | 8.0 | 20344 | 3.5411 |
| 3.5085 | 9.0 | 22887 | 3.5185 |
| 3.4801 | 10.0 | 25430 | 3.5073 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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