<!-- 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-mul-en-finetuned-lfn-to-en

This model is a fine-tuned version of 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