README.md

metadata

base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: mbart_VietnameseToEnglish
    results: []
datasets:
  - NghiemAbe/translation-vietnamese-english
language:
  - vi
  - en
pipeline_tag: text2text-generation

mbart_VietnameseToEnglish_30k

This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.3869
• Bleu: 27.9659
• Gen Len: 33.42

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: 5e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• 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
1.1033	1.0	3750	1.3869	27.9659	33.42

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1