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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: opus-mt-en-ru-finetuned-en-to-ru-Legal
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# opus-mt-en-ru-finetuned-en-to-ru-Legal
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.8561
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- Bleu: 46.7284
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- Gen Len: 23.1317
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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| No log | 1.0 | 387 | 1.1719 | 34.0562 | 22.991 |
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| 1.524 | 2.0 | 774 | 1.0342 | 37.7233 | 23.0052 |
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| 1.0226 | 3.0 | 1161 | 0.9595 | 40.0983 | 22.9755 |
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| 0.8066 | 4.0 | 1548 | 0.9188 | 41.9634 | 23.1162 |
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| 0.8066 | 5.0 | 1935 | 0.8907 | 43.6537 | 23.0923 |
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| 0.6637 | 6.0 | 2322 | 0.8771 | 44.5208 | 23.1097 |
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| 0.5697 | 7.0 | 2709 | 0.8669 | 45.5589 | 23.1388 |
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| 0.5175 | 8.0 | 3096 | 0.8603 | 46.2211 | 23.2356 |
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| 0.5175 | 9.0 | 3483 | 0.8566 | 46.7201 | 23.1375 |
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| 0.4768 | 10.0 | 3870 | 0.8561 | 46.7284 | 23.1317 |
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### Framework versions
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- Transformers 4.13.0
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- Pytorch 1.12.0
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- Datasets 2.4.0
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- Tokenizers 0.10.3
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