--- license: apache-2.0 tags: - generated_from_trainer datasets: - wmt14 metrics: - bleu model-index: - name: t5-small-finetuned-de-en-epochs5 results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: wmt14 type: wmt14 args: de-en metrics: - name: Bleu type: bleu value: 8.2154 --- # t5-small-finetuned-de-en-epochs5 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wmt14 dataset. It achieves the following results on the evaluation set: - Loss: 2.0694 - Bleu: 8.2154 - Gen Len: 17.3996 ## 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: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| | No log | 1.0 | 375 | 2.0923 | 8.0197 | 17.4046 | | 2.3091 | 2.0 | 750 | 2.0806 | 8.0314 | 17.4186 | | 2.2602 | 3.0 | 1125 | 2.0746 | 8.1423 | 17.4033 | | 2.2337 | 4.0 | 1500 | 2.0702 | 8.2025 | 17.4029 | | 2.2337 | 5.0 | 1875 | 2.0694 | 8.2154 | 17.3996 | ### Framework versions - Transformers 4.12.5 - Pytorch 1.10.0+cu111 - Datasets 1.16.1 - Tokenizers 0.10.3