eus-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4351
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 |
|---|---|---|---|
| 5.1695 | 1.0 | 2279 | 4.4543 |
| 4.2664 | 2.0 | 4558 | 4.0723 |
| 3.9875 | 3.0 | 6837 | 3.8665 |
| 3.8134 | 4.0 | 9116 | 3.7303 |
| 3.6885 | 5.0 | 11395 | 3.6272 |
| 3.5941 | 6.0 | 13674 | 3.5577 |
| 3.5221 | 7.0 | 15953 | 3.5073 |
| 3.4682 | 8.0 | 18232 | 3.4691 |
| 3.4281 | 9.0 | 20511 | 3.4452 |
| 3.3999 | 10.0 | 22790 | 3.4351 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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