| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| - summarization | |
| datasets: | |
| - mlsum | |
| language: de | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: mode-bart-deutsch | |
| results: | |
| - task: | |
| name: Summarization | |
| type: summarization | |
| dataset: | |
| name: mlsum de | |
| type: mlsum | |
| args: de | |
| metrics: | |
| - name: Rouge1 | |
| type: rouge | |
| value: 41.698 | |
| <!-- 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. --> | |
| # mode-bart-deutsch | |
| This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the mlsum de dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.2152 | |
| - Rouge1: 41.698 | |
| - Rouge2: 31.3548 | |
| - Rougel: 38.2817 | |
| - Rougelsum: 39.6349 | |
| - Gen Len: 63.1723 | |
| ## 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: 6 | |
| - eval_batch_size: 6 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3.0 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.16.0.dev0 | |
| - Pytorch 1.10.0+cu111 | |
| - Datasets 1.17.0 | |
| - Tokenizers 0.10.3 | |