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

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

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-mul-en](https://huggingface.co/Helsinki-NLP/opus-mt-mul-en) on the Tatoeba English-Elefen sentence pair dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6492
- Bleu: 60.0647
- Gen Len: 8.5545

## 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: 64
- eval_batch_size: 64
- 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