---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- para_pat
metrics:
- bleu
model-index:
- name: opus-mt-ru-uk-finetuned-ru-to-uk
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: para_pat
      type: para_pat
      config: ru-uk
      split: train
      args: ru-uk
    metrics:
    - name: Bleu
      type: bleu
      value: 60.8071
---

<!-- 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. -->

# opus-mt-ru-uk-finetuned-ru-to-uk

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ru-uk](https://huggingface.co./Helsinki-NLP/opus-mt-ru-uk) on the para_pat dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8348
- Bleu: 60.8071
- Gen Len: 122.8841

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|
| 1.0428        | 1.0   | 2150 | 0.8348          | 60.8071 | 122.8841 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3