opus-mt-en-vi-finetuned-en-to-vi
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-vi on the mt_eng_vietnamese dataset. It achieves the following results on the evaluation set:
- Loss: 1.2692
- Bleu: 35.8111
- Gen Len: 28.907
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.4895 | 1.0 | 8333 | 1.2692 | 35.8111 | 28.907 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.13.2
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Dataset used to train thanhnguyenvn/opus-mt-en-vi-finetuned-en-to-vi
Evaluation results
- Bleu on mt_eng_vietnamesevalidation set self-reported35.811