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---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- billsum
metrics:
- rouge
model-index:
- name: CS685-text-summarizer-2
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: billsum
type: billsum
config: default
split: train[:37%]
args: default
metrics:
- name: Rouge1
type: rouge
value: 17.4066
---
<!-- 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. -->
# CS685-text-summarizer-2
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the billsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7516
- Rouge1: 17.4066
- Rouge2: 14.022
- Rougel: 16.9378
- Rougelsum: 17.0519
## 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: 6
- eval_batch_size: 6
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.3529 | 1.0 | 1052 | 1.9277 | 17.1288 | 13.5932 | 16.6346 | 16.7728 |
| 1.9686 | 2.0 | 2104 | 1.8297 | 17.2756 | 13.7685 | 16.7924 | 16.9242 |
| 1.789 | 3.0 | 3156 | 1.7903 | 17.4219 | 14.0205 | 16.9082 | 17.0564 |
| 1.6619 | 4.0 | 4208 | 1.7632 | 17.5055 | 14.1186 | 16.996 | 17.1265 |
| 1.5819 | 5.0 | 5260 | 1.7516 | 17.4066 | 14.022 | 16.9378 | 17.0519 |
### Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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