README.md

metadata

license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-vi
tags:
  - opus-mt-en-vi
  - generated_from_trainer
datasets:
  - mt_eng_vietnamese
metrics:
  - bleu
model-index:
  - name: opus-mt-en-vi-finetuned-en-to-vi
    results: []

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: 1.2726
• 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