---
language:
- en
- lfn
license: mit
tags:
- generated_from_trainer
metrics:
- bleu
pipeline_tag: translation
base_model: Helsinki-NLP/opus-mt-en-mul
model-index:
- name: opus-mt-en-mul-finetuned-en-to-lfn
  results: []
---

# opus-mt-en-mul-finetuned-en-to-lfn

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-mul](https://huggingface.co/Helsinki-NLP/opus-mt-en-mul) on the Tatoeba English-Elefen sentence pair dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6208
- Bleu: 62.9717
- Gen Len: 11.5165

## Model description

Elefen (or Lingua Franca Nova, abbreviated to "LFN") is a simple language designed for international communication.
Its vocabulary is based on Catalan, Spanish, French, Italian and Portuguese. The grammar is very reduced, similar to Romance creoles.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2