opus-mt-en-ro-finetuned-eng-to-para
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ro on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0821
- Bleu: 22.2055
- Gen Len: 21.7942
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: 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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.0865 | 1.0 | 6250 | 0.0821 | 22.2055 | 21.7942 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3