| --- |
| license: mit |
| base_model: facebook/bart-large-cnn |
| tags: |
| - generated_from_trainer |
| datasets: |
| - fedora-copr/pep-sum |
| metrics: |
| - rouge |
| model-index: |
| - name: pep_summarization |
| results: |
| - task: |
| name: Summarization |
| type: summarization |
| dataset: |
| name: fedora-copr/pep-sum |
| type: fedora-copr/pep-sum |
| metrics: |
| - name: Rouge1 |
| type: rouge |
| value: 75.3806 |
| --- |
| |
| <!-- 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. --> |
|
|
| # pep_summarization |
| |
| This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the fedora-copr/pep-sum dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1242 |
| - Rouge1: 75.3806 |
| - Rouge2: 74.6735 |
| - Rougel: 75.5866 |
| - Rougelsum: 75.5446 |
| - Gen Len: 85.3188 |
| |
| ## 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: 1e-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: 5.0 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
| | No log | 1.0 | 69 | 0.0957 | 72.6601 | 71.6824 | 72.6858 | 72.4668 | 95.4493 | |
| | No log | 2.0 | 138 | 0.1345 | 75.0063 | 74.0782 | 75.0597 | 74.8943 | 92.0145 | |
| | No log | 3.0 | 207 | 0.1412 | 75.3012 | 74.5492 | 75.4246 | 75.324 | 85.4638 | |
| | No log | 4.0 | 276 | 0.1089 | 74.8426 | 74.0317 | 74.8939 | 74.8128 | 85.0435 | |
| | No log | 5.0 | 345 | 0.1242 | 75.3806 | 74.6735 | 75.5866 | 75.5446 | 85.3188 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.38.0.dev0 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
| |
