opus-mt-ru-en-finetuned-ru-to-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ru-en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1251
- Bleu: 15.9892
- Gen Len: 5.0168
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.6914 | 1.0 | 4956 | 2.5116 | 11.1411 | 4.9989 |
| 2.2161 | 2.0 | 9912 | 2.3255 | 11.7334 | 5.1678 |
| 1.9237 | 3.0 | 14868 | 2.2388 | 13.6802 | 5.1463 |
| 1.7087 | 4.0 | 19824 | 2.1892 | 13.8815 | 5.0625 |
| 1.5423 | 5.0 | 24780 | 2.1586 | 14.8182 | 5.0779 |
| 1.3909 | 6.0 | 29736 | 2.1445 | 14.3603 | 5.2194 |
| 1.3041 | 7.0 | 34692 | 2.1323 | 16.2138 | 5.0438 |
| 1.2078 | 8.0 | 39648 | 2.1275 | 16.2574 | 5.0165 |
| 1.1523 | 9.0 | 44604 | 2.1255 | 16.0368 | 5.014 |
| 1.1005 | 10.0 | 49560 | 2.1251 | 15.9892 | 5.0168 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3
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