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linguo_mt_en_swh
DS4H-ICTU/linguo_mt_en_swh
linguo_mt_en_swh is a translation model from DS4H-ICTU. Use it when you need text moved from one language to another. 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
- Task
- Translation
- Library
- transformers
- License
- apache-2.0
- Model type
- marian
- Access
- Public
- Created
- Jun 26, 2025
- Updated
- Jun 26, 2025
- SHA
- d1ea1b13
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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. -->
linguo_mt_en_swh
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ROMANCE on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6416
- Bleu: 29.6606
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 0.8168 | 1.0 | 715 | 0.7984 | 22.8670 |
| 0.7082 | 2.0 | 1430 | 0.6725 | 27.2491 |
| 0.583 | 3.0 | 2145 | 0.6416 | 29.6606 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Translation
- Library
- transformers
- Type
- marian
- License
- apache-2.0
- Created
- Jun 26, 2025
- Updated
- Jun 26, 2025