metadata

license: apache-2.0
tags:
  - translation
  - generated_from_trainer
metrics:
  - bleu
base_model: Helsinki-NLP/opus-mt-en-vi
model-index:
  - name: finetuned_HelsinkiNLP-opus-mt-en-vi_PhoMT
    results: []

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