| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - wmt14 | |
| model-index: | |
| - name: opus-mt-de-en-finetuned-de-to-en | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # opus-mt-de-en-finetuned-de-to-en | |
| This model is a fine-tuned version of [Helsinki-NLP/opus-mt-de-en](https://huggingface.co/Helsinki-NLP/opus-mt-de-en) on the wmt14 dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 1.3411 | |
| - eval_bleu: 32.4395 | |
| - eval_gen_len: 29.6925 | |
| - eval_runtime: 2250.0489 | |
| - eval_samples_per_second: 19.998 | |
| - eval_steps_per_second: 0.625 | |
| - epoch: 3.0 | |
| - step: 4221 | |
| ## 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-06 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 32 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 11 | |
| - mixed_precision_training: Native AMP | |
| ### Framework versions | |
| - Transformers 4.19.2 | |
| - Pytorch 1.7.1+cu110 | |
| - Datasets 2.2.2 | |
| - Tokenizers 0.12.1 | |