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linguo_mt_en_bum
DS4H-ICTU/linguo_mt_en_bum
linguo_mt_en_bum 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 19, 2025
- Updated
- Jun 19, 2025
- SHA
- aaa7a486
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Base models
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_bum
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: 0.6654
- Bleu: 22.4361
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 |
|---|---|---|---|---|
| 0.8234 | 1.0 | 1432 | 0.7827 | 17.6433 |
| 0.7325 | 2.0 | 2864 | 0.6945 | 21.4615 |
| 0.6282 | 3.0 | 4296 | 0.6654 | 22.4361 |
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 19, 2025
- Updated
- Jun 19, 2025