| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: results | |
| 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. --> | |
| # results | |
| This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 5.4160 | |
| - Rouge2 Precision: 0.1882 | |
| - Rouge2 Recall: 0.1039 | |
| - Rouge2 Fmeasure: 0.1339 | |
| ## 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: 0.0005 | |
| - train_batch_size: 4 | |
| - eval_batch_size: 4 | |
| - seed: 42 | |
| - optimizer: Adafactor | |
| - lr_scheduler_type: linear | |
| - num_epochs: 50 | |
| - label_smoothing_factor: 0.1 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.22.1 | |
| - Pytorch 1.12.1+cu113 | |
| - Datasets 2.5.1 | |
| - Tokenizers 0.12.1 | |