--- license: apache-2.0 base_model: Helsinki-NLP/opus-mt-it-de tags: - generated_from_trainer model-index: - name: Finetuned_MarianMTModel results: [] --- # Finetuned_MarianMTModel This model is a fine-tuned version of [Helsinki-NLP/opus-mt-it-de](https://huggingface.co/Helsinki-NLP/opus-mt-it-de) on an unknown dataset. It achieves the following results on the evaluation set: - eval_loss: 2.0607 - eval_bleu: 16.7187 - eval_gen_len: 33.3 - eval_runtime: 963.1503 - eval_samples_per_second: 5.687 - eval_steps_per_second: 0.356 - epoch: 7.0 - step: 9583 ## 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: 10 - mixed_precision_training: Native AMP ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1