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
- Downloads last month
- 23
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for tarob0ba/opus-mt-en-mul-finetuned-en-to-lfn
Base model
Helsinki-NLP/opus-mt-en-mul