rus-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3522
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 |
|---|---|---|---|
| 6.1529 | 1.0 | 415 | 5.6150 |
| 5.3511 | 2.0 | 830 | 5.1843 |
| 5.005 | 3.0 | 1245 | 4.9074 |
| 4.7381 | 4.0 | 1660 | 4.7148 |
| 4.5512 | 5.0 | 2075 | 4.5836 |
| 4.4067 | 6.0 | 2490 | 4.4915 |
| 4.286 | 7.0 | 2905 | 4.4313 |
| 4.2083 | 8.0 | 3320 | 4.3904 |
| 4.1575 | 9.0 | 3735 | 4.3609 |
| 4.1075 | 10.0 | 4150 | 4.3522 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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