Helsinki-MT-opus-books-en-es
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-es on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6457
- Bleu: 19.4765
- Gen Len: 46.5149
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: 5.6e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 4.6628 | 1.0 | 658 | 1.7308 | 18.4918 | 46.4868 |
| 3.6137 | 2.0 | 1316 | 1.6457 | 19.4765 | 46.5149 |
Framework versions
- Transformers 5.5.0
- Pytorch 2.8.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2