opus-mt-es-en-scielo
This model is a fine-tuned version of Helsinki-NLP/opus-mt-es-en on the scielo dataset. It achieves the following results on the evaluation set:
- Loss: 1.2593
- Bleu: 40.8788
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 1.4277 | 1.0 | 10001 | 1.3473 | 40.5849 |
| 1.2007 | 2.0 | 20002 | 1.3146 | 41.3308 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1