| --- |
| license: apache-2.0 |
| base_model: facebook/bart-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: billsum_5912_bart-base |
| 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. --> |
|
|
| # billsum_5912_bart-base |
|
|
| 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: 2.4204 |
| - Rouge1: 0.156 |
| - Rouge2: 0.0656 |
| - Rougel: 0.1293 |
| - Rougelsum: 0.1357 |
| - Gen Len: 20.0 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## 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: 12 |
| - eval_batch_size: 12 |
| - seed: 42 |
| - gradient_accumulation_steps: 16 |
| - total_train_batch_size: 192 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | 1.4629 | 5.06 | 500 | 2.4204 | 0.156 | 0.0656 | 0.1293 | 0.1357 | 20.0 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.36.2 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
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|
