metadata

base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
  - generated_from_trainer
model-index:
  - name: vi_en_mbart-large-50-many-to-many-mmt_news_train
    results: []

vi_en_mbart-large-50-many-to-many-mmt_news_train

This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on an unknown dataset.

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
gradient_accumulation_steps: 16
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Framework versions

Transformers 4.37.2
Pytorch 1.12.1+cu116
Datasets 2.18.0
Tokenizers 0.15.1