dan-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1108
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 |
|---|---|---|---|
| 4.0131 | 1.0 | 364 | 3.5945 |
| 3.4817 | 2.0 | 728 | 3.4301 |
| 3.3364 | 3.0 | 1092 | 3.3369 |
| 3.2494 | 4.0 | 1456 | 3.2677 |
| 3.1594 | 5.0 | 1820 | 3.2182 |
| 3.0863 | 6.0 | 2184 | 3.1795 |
| 3.0354 | 7.0 | 2548 | 3.1478 |
| 2.9852 | 8.0 | 2912 | 3.1274 |
| 2.9457 | 9.0 | 3276 | 3.1153 |
| 2.9227 | 10.0 | 3640 | 3.1108 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
- Downloads last month
- -