--- license: apache-2.0 base_model: Helsinki-NLP/opus-mt-pt-ca tags: - translation - generated_from_trainer datasets: - kde4 metrics: - bleu model-index: - name: finetuned-kde4-pt-to-ca results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: kde4 type: kde4 config: ca-pt split: train args: ca-pt metrics: - name: Bleu type: bleu value: 76.02074317274858 --- # finetuned-kde4-pt-to-ca This model is a fine-tuned version of [Helsinki-NLP/opus-mt-pt-ca](https://huggingface.co/Helsinki-NLP/opus-mt-pt-ca) on the kde4 dataset. It achieves the following results on the evaluation set: - Loss: 0.3194 - Bleu: 76.0207 ## 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: 32 - eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 - mixed_precision_training: Native AMP ### Training results ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.1+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1