---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ru
tags:
- generated_from_trainer
datasets:
- kde4
model-index:
- name: translate-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. -->

# translate-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 the kde4 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4205
- Blew: 28.4321

## 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: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Blew    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 1.7105        | 1.0   | 2543 | 1.5337          | 26.7452 |
| 1.5046        | 2.0   | 5086 | 1.4440          | 27.9963 |
| 1.4424        | 3.0   | 7629 | 1.4205          | 28.4321 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3