| --- |
| license: apache-2.0 |
| tags: |
| - summarization |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: bart-base-finetuned-summarization |
| 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. --> |
|
|
| # bart-base-finetuned-summarization |
|
|
| This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.2885 |
| - Rouge1: 31.8585 |
| - Rouge2: 20.7559 |
| - Rougel: 28.879 |
| - Rougelsum: 29.6017 |
|
|
| ## 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: 5.6e-05 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| |
| | 1.8516 | 1.0 | 308 | 1.3028 | 29.4331 | 19.2619 | 27.1598 | 28.1099 | |
| | 1.2211 | 2.0 | 616 | 1.2506 | 30.2583 | 19.7126 | 28.1328 | 28.9654 | |
| | 0.911 | 3.0 | 924 | 1.2316 | 29.3854 | 18.6132 | 27.3488 | 28.2225 | |
| | 0.6824 | 4.0 | 1232 | 1.2583 | 32.0664 | 22.0751 | 29.521 | 30.5109 | |
| | 0.542 | 5.0 | 1540 | 1.2885 | 31.8585 | 20.7559 | 28.879 | 29.6017 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.28.0 |
| - Pytorch 2.0.0+cu118 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
|
|
