opus-mt-en-ro
This model was trained from scratch on the tatoeba dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5128
- Model Preparation Time: 0.0032
- Bleu: 56.0514
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: 32
- 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Bleu |
|---|
| 0.5958 | 1.0 | 427 | 0.5168 | 0.0032 | 56.1356 |
| 0.4699 | 2.0 | 854 | 0.5128 | 0.0032 | 56.0514 |
| 0.4118 | 3.0 | 1281 | 0.5130 | 0.0032 | 56.6443 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
