opus-mt-ru-en-finetuned-ru-to-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ru-en on the wmt16 dataset. It achieves the following results on the evaluation set:
- Loss: 1.4092
- Bleu: 30.4049
- Gen Len: 26.3911
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 |
|---|---|---|---|---|---|
| 2.2606 | 1.0 | 94761 | 1.4092 | 30.4049 | 26.3911 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0.post202
- Datasets 2.3.2
- Tokenizers 0.12.1