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README.md
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license:
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tags:
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- generated_from_trainer
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metrics:
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model-index:
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- name: opus-mt-mul-en-finetuned-lfn-to-en
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# opus-mt-mul-en-finetuned-lfn-to-en
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-mul-en](https://huggingface.co/Helsinki-NLP/opus-mt-mul-en) on
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It achieves the following results on the evaluation set:
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- Loss: 0.6492
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- Bleu: 60.0647
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## Model description
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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| No log | 1.0 | 145 | 0.7224 | 55.1224 | 8.4971 |
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| No log | 2.0 | 290 | 0.6699 | 58.0064 | 8.5156 |
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| No log | 3.0 | 435 | 0.6526 | 59.1039 | 8.5165 |
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| 0.6334 | 4.0 | 580 | 0.6482 | 59.0726 | 8.5973 |
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| 0.6334 | 5.0 | 725 | 0.6454 | 59.0775 | 8.5593 |
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| 0.6334 | 6.0 | 870 | 0.6450 | 59.4424 | 8.5535 |
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| 0.3496 | 7.0 | 1015 | 0.6452 | 60.0632 | 8.5311 |
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| 0.3496 | 8.0 | 1160 | 0.6477 | 60.2116 | 8.5593 |
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| 0.3496 | 9.0 | 1305 | 0.6489 | 59.9325 | 8.5545 |
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| 0.3496 | 10.0 | 1450 | 0.6492 | 60.0647 | 8.5545 |
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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
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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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model-index:
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- name: opus-mt-mul-en-finetuned-lfn-to-en
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results: []
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language:
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- en
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- lfn
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# opus-mt-mul-en-finetuned-lfn-to-en
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-mul-en](https://huggingface.co/Helsinki-NLP/opus-mt-mul-en) 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: 0.6492
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- Bleu: 60.0647
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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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- 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
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