metadata
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: []
opus-mt-en-vi
This model is a fine-tuned version of 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