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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: opus-mt-en-mul-finetuned-en-to-lfn |
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results: [] |
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language: |
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- en |
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- lfn |
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pipeline_tag: translation |
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--- |
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# opus-mt-en-mul-finetuned-en-to-lfn |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6208 |
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- Bleu: 62.9717 |
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- Gen Len: 11.5165 |
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## Model description |
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Elefen (or Lingua Franca Nova, abbreviated to "LFN") is a simple language designed for international communication. |
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Its vocabulary is based on Catalan, Spanish, French, Italian and Portuguese. The grammar is very reduced, similar to Romance creoles. |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.27.3 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
