spa-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8669
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 |
|---|---|---|---|
| 4.2752 | 1.0 | 2454 | 3.7153 |
| 3.6075 | 2.0 | 4908 | 3.3817 |
| 3.3699 | 3.0 | 7362 | 3.2098 |
| 3.225 | 4.0 | 9816 | 3.0952 |
| 3.1212 | 5.0 | 12270 | 3.0175 |
| 3.0458 | 6.0 | 14724 | 2.9617 |
| 2.9892 | 7.0 | 17178 | 2.9229 |
| 2.9459 | 8.0 | 19632 | 2.8936 |
| 2.9138 | 9.0 | 22086 | 2.8754 |
| 2.8899 | 10.0 | 24540 | 2.8669 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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