--- license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: opus-mt-en-ru-finetuned-en-to-ru-Legal results: [] --- # opus-mt-en-ru-finetuned-en-to-ru-Legal This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ru](https://huggingface.co/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