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opus-mt-en-ru-finetuned-en-to-ru-Legal
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ru on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8561
- Bleu: 46.7284
- Gen Len: 23.1317
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 387 | 1.1719 | 34.0562 | 22.991 |
| 1.524 | 2.0 | 774 | 1.0342 | 37.7233 | 23.0052 |
| 1.0226 | 3.0 | 1161 | 0.9595 | 40.0983 | 22.9755 |
| 0.8066 | 4.0 | 1548 | 0.9188 | 41.9634 | 23.1162 |
| 0.8066 | 5.0 | 1935 | 0.8907 | 43.6537 | 23.0923 |
| 0.6637 | 6.0 | 2322 | 0.8771 | 44.5208 | 23.1097 |
| 0.5697 | 7.0 | 2709 | 0.8669 | 45.5589 | 23.1388 |
| 0.5175 | 8.0 | 3096 | 0.8603 | 46.2211 | 23.2356 |
| 0.5175 | 9.0 | 3483 | 0.8566 | 46.7201 | 23.1375 |
| 0.4768 | 10.0 | 3870 | 0.8561 | 46.7284 | 23.1317 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.12.0
- Datasets 2.4.0
- Tokenizers 0.10.3
