translate-en-ru
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ru on the kde4 dataset. It achieves the following results on the evaluation set:
- Loss: 1.4205
- Blew: 28.4321
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: 32
- seed: 42
- optimizer: Use 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Blew |
|---|---|---|---|---|
| 1.7105 | 1.0 | 2543 | 1.5337 | 26.7452 |
| 1.5046 | 2.0 | 5086 | 1.4440 | 27.9963 |
| 1.4424 | 3.0 | 7629 | 1.4205 | 28.4321 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
Helsinki-NLP/opus-mt-en-ru