--- 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_half_doc_news_train results: [] --- # vi_en_mbart-large-50-many-to-many-mmt_half_doc_news_train This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/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