--- library_name: transformers license: apache-2.0 base_model: Helsinki-NLP/opus-mt-en-eu tags: - translation - generated_from_trainer metrics: - bleu model-index: - name: helsinki-eng-eus-translation results: [] --- # helsinki-eng-eus-translation This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-eu](https://huggingface.co/Helsinki-NLP/opus-mt-en-eu) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.9935 - Bleu: 10.1041 - Gen Len: 118.4838 ## 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: 5.6e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:| | No log | 1.0 | 372 | 3.2143 | 9.1204 | 117.2114 | | 3.8176 | 2.0 | 744 | 2.9935 | 10.1041 | 118.4838 | ### Framework versions - Transformers 4.51.3 - Pytorch 2.6.0+cu124 - Datasets 3.5.0 - Tokenizers 0.21.1