cym-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8422
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 |
|---|---|---|---|
| 4.6856 | 1.0 | 3125 | 3.9482 |
| 3.7637 | 2.0 | 6250 | 3.5204 |
| 3.4517 | 3.0 | 9375 | 3.2834 |
| 3.2553 | 4.0 | 12500 | 3.1225 |
| 3.1235 | 5.0 | 15625 | 3.0243 |
| 3.03 | 6.0 | 18750 | 2.9570 |
| 2.9607 | 7.0 | 21875 | 2.9107 |
| 2.9095 | 8.0 | 25000 | 2.8750 |
| 2.8682 | 9.0 | 28125 | 2.8526 |
| 2.8391 | 10.0 | 31250 | 2.8422 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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