sun-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.8442
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 |
|---|---|---|---|
| 6.7143 | 1.0 | 1646 | 6.2067 |
| 5.9487 | 2.0 | 3292 | 5.7755 |
| 5.5457 | 3.0 | 4938 | 5.4530 |
| 5.2146 | 4.0 | 6584 | 5.2281 |
| 4.9624 | 5.0 | 8230 | 5.0784 |
| 4.7677 | 6.0 | 9876 | 4.9795 |
| 4.6107 | 7.0 | 11522 | 4.9167 |
| 4.4855 | 8.0 | 13168 | 4.8730 |
| 4.3889 | 9.0 | 14814 | 4.8511 |
| 4.3198 | 10.0 | 16460 | 4.8442 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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