--- license: apache-2.0 base_model: Helsinki-NLP/opus-mt-en-fr tags: - generated_from_trainer datasets: - wmt16 model-index: - name: opus-mt-en-fr-finetuned-en-to-de results: [] --- # opus-mt-en-fr-finetuned-en-to-de This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co./Helsinki-NLP/opus-mt-en-fr) on the wmt16 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: 2 - eval_batch_size: 2 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 ### Framework versions - Transformers 4.31.0 - Pytorch 2.0.1+cu118 - Datasets 2.14.4 - Tokenizers 0.13.3