---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ru
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: transformer-en-ru
  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. -->

# transformer-en-ru

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: 0.6527
- Bleu: 67.1147
- Gen Len: 127.0651

## 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|
| 0.7937        | 1.0   | 568  | 0.6373          | 68.0996 | 127.3319 |
| 0.6728        | 2.0   | 1136 | 0.6028          | 69.6232 | 127.2664 |
| 0.6136        | 3.0   | 1704 | 0.5853          | 70.2068 | 126.963  |
| 0.5733        | 4.0   | 2272 | 0.5806          | 70.2274 | 127.2151 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0.dev20230205+cu117
- Datasets 2.13.1
- Tokenizers 0.14.1