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