nor-baseline-fast
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3822
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: 64
- 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 |
|---|---|---|---|
| 5.8865 | 1.0 | 62 | 5.3373 |
| 4.8902 | 2.0 | 124 | 5.0404 |
| 4.6288 | 3.0 | 186 | 4.8065 |
| 4.4524 | 4.0 | 248 | 4.6461 |
| 4.3286 | 5.0 | 310 | 4.5491 |
| 4.2488 | 6.0 | 372 | 4.4846 |
| 4.177 | 7.0 | 434 | 4.4385 |
| 4.143 | 8.0 | 496 | 4.4071 |
| 4.1105 | 9.0 | 558 | 4.3883 |
| 4.1035 | 10.0 | 620 | 4.3822 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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