sot-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.9205
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 |
|---|---|---|---|
| 5.461 | 1.0 | 1677 | 4.8526 |
| 4.637 | 2.0 | 3354 | 4.5182 |
| 4.3452 | 3.0 | 5031 | 4.3286 |
| 4.1307 | 4.0 | 6708 | 4.1973 |
| 3.9533 | 5.0 | 8385 | 4.1011 |
| 3.8126 | 6.0 | 10062 | 4.0273 |
| 3.6998 | 7.0 | 11739 | 3.9788 |
| 3.5969 | 8.0 | 13416 | 3.9457 |
| 3.5233 | 9.0 | 15093 | 3.9263 |
| 3.4676 | 10.0 | 16770 | 3.9205 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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