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