---
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
should probably proofread and complete it, then remove this comment. -->

# opus-mt-ru-en-finetuned

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2311
- Bleu: 35.6405
- Gen Len: 26.0366

## 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: 0.0001
- train_batch_size: 85
- eval_batch_size: 42
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.2           | 1.0   | 20262 | 1.3793          | 32.0937 | 26.0227 |
| 1.1325        | 2.0   | 40524 | 1.2856          | 34.3345 | 26.1998 |
| 1.0781        | 3.0   | 60786 | 1.2311          | 35.6405 | 26.0366 |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.10.2+cu113
- Datasets 1.18.3
- Tokenizers 0.11.0