--- license: apache-2.0 tags: - translation - generated_from_trainer datasets: - kde4 metrics: - bleu model-index: - name: marian-finetuned-kde4-en-to-uk results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: kde4 type: kde4 config: en-uk split: train args: en-uk metrics: - name: Bleu type: bleu value: 50.09005982889118 --- # marian-finetuned-kde4-en-to-uk This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-uk](https://huggingface.co/Helsinki-NLP/opus-mt-en-uk) on the kde4 dataset. It achieves the following results on the evaluation set: - Loss: 0.7624 - Bleu: 50.0901 ## 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: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results ### Framework versions - Transformers 4.30.2 - Pytorch 1.13.1+cu117 - Datasets 2.13.1 - Tokenizers 0.13.3