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: 1.2652
Bleu: 37.2837

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: 32
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.21.3
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

huynguyen208/marian-finetuned-kde4-en-to-vi-190322

marian-finetuned-kde4-en-to-vi-190322

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

huynguyen208/
marian-finetuned-kde4-en-to-vi-190322