---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
datasets:
- clupubhealth
metrics:
- rouge
model-index:
- name: pubhealth-expanded-2
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: clupubhealth
      type: clupubhealth
      config: expanded
      split: test
      args: expanded
    metrics:
    - name: Rouge1
      type: rouge
      value: 30.8894
---

<!-- 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. -->

# pubhealth-expanded-2

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the clupubhealth dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0350
- Rouge1: 30.8894
- Rouge2: 11.1867
- Rougel: 23.9147
- Rougelsum: 24.1629
- Gen Len: 19.92

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.8605        | 0.15  | 300  | 2.1208          | 28.8603 | 10.8357 | 23.0659 | 23.2449   | 19.91   |
| 2.7424        | 0.31  | 600  | 2.0667          | 31.4167 | 11.8643 | 24.7631 | 25.1062   | 19.83   |
| 2.6133        | 0.46  | 900  | 2.0508          | 30.8362 | 11.7188 | 23.8637 | 24.0363   | 19.92   |
| 2.5378        | 0.62  | 1200 | 2.0295          | 32.2237 | 12.4404 | 25.5336 | 25.847    | 19.875  |
| 2.5218        | 0.77  | 1500 | 2.0379          | 32.0398 | 11.9383 | 25.0801 | 25.2798   | 19.9    |
| 2.4902        | 0.93  | 1800 | 2.0350          | 30.8894 | 11.1867 | 23.9147 | 24.1629   | 19.92   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2