heb-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8018
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 |
|---|---|---|---|
| 5.5647 | 1.0 | 1934 | 4.9087 |
| 4.6868 | 2.0 | 3868 | 4.5207 |
| 4.3952 | 3.0 | 5802 | 4.2973 |
| 4.2085 | 4.0 | 7736 | 4.1461 |
| 4.0745 | 5.0 | 9670 | 4.0365 |
| 3.969 | 6.0 | 11604 | 3.9542 |
| 3.8885 | 7.0 | 13538 | 3.8889 |
| 3.8244 | 8.0 | 15472 | 3.8445 |
| 3.7789 | 9.0 | 17406 | 3.8154 |
| 3.7479 | 10.0 | 19340 | 3.8018 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
- Downloads last month
- 4