---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-ru-en-finetuned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# opus-mt-ru-en-finetuned

This model is a fine-tuned version of [kazandaev/opus-mt-ru-en-finetuned](https://huggingface.co/kazandaev/opus-mt-ru-en-finetuned) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0396
- Bleu: 43.4662
- Gen Len: 26.1749

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
| 0.7849        | 1.0   | 35147  | 1.0571          | 42.596  | 26.1388 |
| 0.7868        | 2.0   | 70294  | 1.0529          | 42.8209 | 26.1962 |
| 0.7815        | 3.0   | 105441 | 1.0493          | 43.0675 | 26.1079 |
| 0.7835        | 4.0   | 140588 | 1.0474          | 42.9025 | 26.1529 |
| 0.7859        | 5.0   | 175735 | 1.0473          | 43.2471 | 26.1164 |
| 0.7935        | 6.0   | 210882 | 1.0453          | 43.2605 | 26.1132 |
| 0.8058        | 7.0   | 246029 | 1.0443          | 43.1831 | 26.1057 |
| 0.8118        | 8.0   | 281176 | 1.0419          | 43.432  | 26.127  |
| 0.8223        | 9.0   | 316323 | 1.0405          | 43.4938 | 26.181  |
| 0.8462        | 10.0  | 351470 | 1.0396          | 43.4662 | 26.1749 |


### Framework versions

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