finetuned_HelsinkiNLP-opus-mt-en-vi_PhoMT
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: 1.3069
- Bleu: 42.4251
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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 1.4437 | 1.0 | 186125 | 1.3648 | 40.6353 |
| 1.3748 | 2.0 | 372250 | 1.3362 | 41.4991 |
| 1.3182 | 3.0 | 558375 | 1.3224 | 41.9860 |
| 1.2829 | 4.0 | 744500 | 1.3113 | 42.2649 |
| 1.2641 | 5.0 | 930625 | 1.3069 | 42.4233 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.10.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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