| language: | |
| - de | |
| tags: | |
| - generated_from_trainer | |
| - summarization | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: 10k_MT5_small_sum-de_GNAD | |
| 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. --> | |
| # 10k_MT5_small_sum-de_GNAD | |
| This model is a fine-tuned version of [Einmalumdiewelt/10k_MT5_small_sum-de_GNAD](https://huggingface.co/Einmalumdiewelt/10k_MT5_small_sum-de_GNAD) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.4403 | |
| - Rouge1: 24.9179 | |
| - Rouge2: 7.8694 | |
| - Rougel: 18.048 | |
| - Rougelsum: 21.9371 | |
| - Gen Len: 48.2693 | |
| ## 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: 10 | |
| - eval_batch_size: 10 | |
| - 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 4.22.0.dev0 | |
| - Pytorch 1.12.0+cu113 | |
| - Datasets 2.4.0 | |
| - Tokenizers 0.12.1 | |