metadata
language:
- en
- sv
tags:
- generated_from_trainer
- translation
metrics:
- type: Bleu
- value: 67.28
model-index:
- name: mt-en-sv-finetuned
results: []
mt-en-sv-finetuned
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-sv. It achieves the following results on the Tatoeba.en.sv evaluation set:
- Bleu: 67.28528945378108
Model description
- source_lang = en
- target_lang = sv
Intended uses & limitations
More information needed
Training and evaluation data
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 24
- eval_batch_size: 4
- mixed_precision_training: Native AMP
Training results
| testset | BLEU |
|---|---|
| Tatoeba.en.sv | 67.28 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.1