BARTBana_Translation_v3
This model is a fine-tuned version of IAmSkyDra/BARTBana_v3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4571
- Sacrebleu: 11.0566
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|---|---|---|---|---|
| 0.7013 | 1.0 | 742 | 0.6063 | 6.2147 |
| 0.6067 | 2.0 | 1484 | 0.5359 | 8.3509 |
| 0.5273 | 3.0 | 2226 | 0.5025 | 9.5105 |
| 0.5043 | 4.0 | 2968 | 0.4846 | 10.0064 |
| 0.4699 | 5.0 | 3710 | 0.4747 | 10.4437 |
| 0.4558 | 6.0 | 4452 | 0.4658 | 10.6266 |
| 0.4296 | 7.0 | 5194 | 0.4613 | 10.8692 |
| 0.417 | 8.0 | 5936 | 0.4582 | 10.9131 |
| 0.4127 | 9.0 | 6678 | 0.4567 | 11.0361 |
| 0.4021 | 10.0 | 7420 | 0.4571 | 11.0566 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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