---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: billsum_model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# billsum_model

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: 1.9651
- Rouge1: 0.1824
- Rouge2: 0.106
- Rougel: 0.1607
- Rougelsum: 0.1661
- Gen Len: 20.0

## 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: 2e-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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 124  | 2.0847          | 0.1748 | 0.1025 | 0.1561 | 0.1605    | 20.0    |
| No log        | 2.0   | 248  | 2.0036          | 0.1842 | 0.108  | 0.1628 | 0.168     | 20.0    |
| No log        | 3.0   | 372  | 1.9651          | 0.1824 | 0.106  | 0.1607 | 0.1661    | 20.0    |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0