--- language: - en - 'no' license: apache-2.0 tags: - generated_from_trainer datasets: - bible_para metrics: - bleu model-index: - name: flan-t5-base_en-no results: - task: name: Translation type: translation dataset: name: bible_para en-no type: bible_para config: en-no split: train args: en-no metrics: - name: Bleu type: bleu value: 28.7219 --- # flan-t5-base_en-no This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the bible_para en-no dataset. It achieves the following results on the evaluation set: - Loss: 0.8910 - Bleu: 28.7219 - Gen Len: 66.1081 ## 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: 5e-05 - train_batch_size: 64 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10.0 ### Training results ### Framework versions - Transformers 4.26.0.dev0 - Pytorch 1.13.0 - Datasets 2.7.1 - Tokenizers 0.13.2