opus-mt-ru-en-finetuned-ru-to-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ru-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1481
- Bleu: 35.2634
- Gen Len: 27.1077
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.2807 | 1.0 | 2938 | 1.1481 | 35.2634 | 27.1077 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3