| --- |
| license: apache-2.0 |
| tags: |
| - summarization |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: summarizer |
| 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. --> |
|
|
| # summarizer |
|
|
| This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.4858 |
| - Rouge1: 50.2321 |
| - Rouge2: 24.0325 |
| - Rougel: 45.4209 |
| - Rougelsum: 45.4669 |
|
|
| ## 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: 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: 8 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| |
| | 2.324 | 1.0 | 460 | 1.8943 | 49.6772 | 24.3924 | 45.0788 | 45.1276 | |
| | 1.5791 | 2.0 | 920 | 1.8899 | 49.6626 | 24.2944 | 45.2762 | 45.4145 | |
| | 1.0975 | 3.0 | 1380 | 1.9199 | 49.725 | 24.1088 | 44.9682 | 45.0787 | |
| | 0.7581 | 4.0 | 1840 | 2.1324 | 48.8128 | 22.5742 | 44.3464 | 44.3182 | |
| | 0.5103 | 5.0 | 2300 | 2.3014 | 49.5098 | 23.3978 | 44.8389 | 44.9802 | |
| | 0.3448 | 6.0 | 2760 | 2.3828 | 49.8076 | 23.3584 | 44.7778 | 44.8633 | |
| | 0.2394 | 7.0 | 3220 | 2.4564 | 49.3934 | 23.7093 | 44.486 | 44.6473 | |
| | 0.1763 | 8.0 | 3680 | 2.4858 | 50.2321 | 24.0325 | 45.4209 | 45.4669 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.28.1 |
| - Pytorch 2.0.0+cu118 |
| - Datasets 2.11.0 |
| - Tokenizers 0.13.3 |
|
|
