| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - ccdv/arxiv-summarization | |
| metrics: | |
| - rouge | |
| base_model: sshleifer/distilbart-xsum-12-1 | |
| model-index: | |
| - name: results | |
| results: | |
| - task: | |
| type: summarization | |
| name: Summarization | |
| dataset: | |
| name: ccdv/arxiv-summarization | |
| type: ccdv/arxiv-summarization | |
| config: section | |
| split: validation | |
| args: section | |
| metrics: | |
| - type: rouge | |
| value: 35.6639 | |
| name: Rouge1 | |
| <!-- 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 [sshleifer/distilbart-xsum-12-1](https://huggingface.co/sshleifer/distilbart-xsum-12-1) on the ccdv/arxiv-summarization dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 4.3066 | |
| - Rouge1: 35.6639 | |
| - Rouge2: 10.5717 | |
| - Rougel: 21.095 | |
| - Rougelsum: 31.2685 | |
| - Gen Len: 81.44 | |
| ## 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: 4 | |
| - eval_batch_size: 4 | |
| - 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 4.29.0.dev0 | |
| - Pytorch 2.0.0 | |
| - Datasets 2.10.1 | |
| - Tokenizers 0.13.2 | |