--- license: apache-2.0 base_model: Helsinki-NLP/opus-mt-en-roa tags: - generated_from_trainer model-index: - name: multilingual-MT_FR-ES-IT-PT-RO_CAS-NLP results: [] --- # multilingual-MT_FR-ES-IT-PT-RO_CAS-NLP This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-roa](https://huggingface.co/Helsinki-NLP/opus-mt-en-roa) on the None 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: 0.001 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 128 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 4 - mixed_precision_training: Native AMP ### Training results ### Framework versions - Transformers 4.41.1 - Pytorch 2.3.0+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1