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---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-vi
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-en-vi
results: []
---
<!-- 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-vi
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-vi](https://huggingface.co/Helsinki-NLP/opus-mt-en-vi) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2733
- Bleu: 37.1266
## 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: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 1.4817 | 1.0 | 8333 | 1.2790 | 36.7813 |
| 1.3955 | 2.0 | 16666 | 1.2750 | 36.9542 |
| 1.3368 | 3.0 | 24999 | 1.2733 | 37.1266 |
### Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1
|