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nmt-eng-vi-model
quy223/nmt-eng-vi-model
nmt-eng-vi-model is a machine learning model from quy223. 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 21, 2026
- Updated
- Apr 8, 2026
- SHA
- 47340662
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. -->
nmt-eng-vi-model
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-vi on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6866
- Bleu: 26.3523
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 3.4312 | 1.0 | 4157 | 1.6830 | 26.3282 |
| 3.1646 | 2.0 | 8314 | 1.6852 | 26.3953 |
| 3.0261 | 3.0 | 12471 | 1.6866 | 26.3523 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2
- Library
- transformers
- Type
- marian
- License
- apache-2.0
- Created
- Mar 21, 2026
- Updated
- Apr 8, 2026