--- license: apache-2.0 library_name: peft tags: - generated_from_trainer base_model: Helsinki-NLP/opus-mt-sla-en metrics: - bleu model-index: - name: translation_slo_eng_opus-mt-sla-en_lora results: [] --- # translation_slo_eng_opus-mt-sla-en_lora This model is a fine-tuned version of [Helsinki-NLP/opus-mt-sla-en](https://huggingface.co/Helsinki-NLP/opus-mt-sla-en) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.6979 - Bleu: 35.6045 - Gen Len: 12.8817 ## 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 ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| | 1.8938 | 1.0 | 2500 | 1.6979 | 35.6045 | 12.8817 | ### Framework versions - PEFT 0.11.1 - Transformers 4.40.2 - Pytorch 2.3.0+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1