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opus-mt-en-de-finetuned-en-to-de
wandemberg-eld/opus-mt-en-de-finetuned-en-to-de
opus-mt-en-de-finetuned-en-to-de is a machine learning model from wandemberg-eld. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- marian
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jun 26, 2025
- SHA
- f6dd248c
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
opus-mt-en-de-finetuned-en-to-de
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-de on the wmt16 dataset. It achieves the following results on the evaluation set:
- Loss: 1.4083
- Bleu: 29.4312
- Gen Len: 24.746
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.978 | 1.0 | 568611 | 1.4083 | 29.4312 | 24.746 |
Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu102
- Datasets 1.16.1
- Tokenizers 0.10.3
- Library
- transformers
- Type
- marian
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Jun 26, 2025