| | --- |
| | license: apache-2.0 |
| | base_model: facebook/bart-base |
| | tags: |
| | - summarization |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: bart-base-finetuned-findsum |
| | 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-findsum |
| |
|
| | 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: 1.6579 |
| | - Rouge1: 6.91 |
| | - Rouge2: 3.2425 |
| | - Rougel: 6.1175 |
| | - Rougelsum: 6.5356 |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
| | | 2.3034 | 1.0 | 1000 | 1.9298 | 6.7298 | 3.0582 | 5.932 | 6.3501 | |
| | | 1.9526 | 2.0 | 2000 | 1.8003 | 7.0291 | 3.2546 | 6.1777 | 6.6368 | |
| | | 1.8053 | 3.0 | 3000 | 1.7199 | 6.9328 | 3.2489 | 6.1701 | 6.5512 | |
| | | 1.7113 | 4.0 | 4000 | 1.6741 | 6.9283 | 3.2114 | 6.1239 | 6.5354 | |
| | | 1.654 | 5.0 | 5000 | 1.6579 | 6.91 | 3.2425 | 6.1175 | 6.5356 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.39.3 |
| | - Pytorch 2.2.2+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| |
|
