---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-en-ru-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. -->

# opus-mt-en-ru-finetuned

This model is a fine-tuned version of [kazandaev/opus-mt-en-ru-finetuned](https://huggingface.co/kazandaev/opus-mt-en-ru-finetuned) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7772
- Bleu: 40.4878
- Gen Len: 29.7466

## 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: 49
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
| 0.7247        | 1.0   | 35147  | 0.7926          | 40.1369 | 29.7264 |
| 0.7336        | 2.0   | 70294  | 0.7913          | 40.242  | 29.737  |
| 0.7593        | 3.0   | 105441 | 0.7899          | 40.1589 | 29.7651 |
| 0.7547        | 4.0   | 140588 | 0.7871          | 40.3547 | 29.6178 |
| 0.7601        | 5.0   | 175735 | 0.7842          | 40.3533 | 29.7711 |
| 0.7671        | 6.0   | 210882 | 0.7831          | 40.4168 | 29.7175 |
| 0.7777        | 7.0   | 246029 | 0.7806          | 40.506  | 29.7661 |
| 0.7816        | 8.0   | 281176 | 0.7777          | 40.7829 | 29.6526 |
| 0.7961        | 9.0   | 316323 | 0.7775          | 40.4808 | 29.7885 |
| 0.8187        | 10.0  | 351470 | 0.7772          | 40.4878 | 29.7466 |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0