---
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: 0.7763
- Bleu: 41.0065
- Gen Len: 29.7548

## 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: 1e-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: 5

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
| 0.6903        | 1.0   | 35147  | 0.7779          | 40.9223 | 29.7846 |
| 0.6999        | 2.0   | 70294  | 0.7776          | 40.8267 | 29.8421 |
| 0.7257        | 3.0   | 105441 | 0.7769          | 40.8549 | 29.8765 |
| 0.7238        | 4.0   | 140588 | 0.7763          | 41.0225 | 29.7129 |
| 0.7313        | 5.0   | 175735 | 0.7763          | 41.0065 | 29.7548 |


### Framework versions

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