--- license: apache-2.0 base_model: Helsinki-NLP/opus-tatoeba-en-tr tags: - generated_from_trainer model-index: - name: opus-tatoeba-en-tr-finetuned-en-to-tr results: [] --- # opus-tatoeba-en-tr-finetuned-en-to-tr This model is a fine-tuned version of [Helsinki-NLP/opus-tatoeba-en-tr](https://huggingface.co/Helsinki-NLP/opus-tatoeba-en-tr) 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 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 - mixed_precision_training: Native AMP - label_smoothing_factor: 0.1 ### Framework versions - Transformers 4.37.2 - Pytorch 2.1.0+cu121 - Tokenizers 0.15.2