| 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 |