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: 1.2726
Bleu: 37.3293
Gen Len: 28.4736

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
1.4833	1.0	8333	1.2726	37.3293	28.4736

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

lmh2011/opus-mt-en-vi-finetuned-en-to-vi

opus-mt-en-vi-finetuned-en-to-vi

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

lmh2011/
opus-mt-en-vi-finetuned-en-to-vi