---
language:
- en
- sv
tags:
- generated_from_trainer
- translation

metrics:
- type: Bleu
- value: 67.28
model-index:
- name: mt-en-sv-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. -->

# mt-en-sv-finetuned

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-sv.
It achieves the following results on the Tatoeba.en.sv evaluation set:
- Bleu: 67.28528945378108

## Model description

- source_lang = en
- target_lang = sv

## Intended uses & limitations

More information needed

## Training and evaluation data

-

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 24
- eval_batch_size: 4
- mixed_precision_training: Native AMP

### Training results

| testset               | BLEU  | 
|-----------------------|-------|
| Tatoeba.en.sv 	| 67.28| 	

### Framework versions

- Transformers 4.25.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.1