eng-deu-baseline-small
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.1018
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9042 | 1.0 | 10839 | 3.3946 |
| 3.3724 | 2.0 | 21678 | 3.2263 |
| 3.2605 | 3.0 | 32517 | 3.1575 |
| 3.2046 | 4.0 | 43356 | 3.1188 |
| 3.1726 | 5.0 | 54195 | 3.1018 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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