| language: | |
| - ru | |
| - sv | |
| - multilingual | |
| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| - translation | |
| model-index: | |
| - name: mt-ru-sv-finetuned | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # mt-ru-sv-finetuned | |
| This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ru-sv](https://huggingface.co/Helsinki-NLP/opus-mt-ru-sv) on the None dataset. | |
| It achieves the following results on the Tatoeba.rus.swe evaluation set: | |
| - eval_loss: 0.6998 | |
| - eval_bleu: 54.4473 | |
| ## 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: 5e-06 | |
| - train_batch_size: 24 | |
| - eval_batch_size: 4 | |
| - 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 | |
| ### Framework versions | |
| - Transformers 4.25.0.dev0 | |
| - Pytorch 1.13.0+cu117 | |
| - Datasets 2.6.1 | |
| - Tokenizers 0.13.1 | |