metadata

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

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

This model is a fine-tuned version of 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