---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
datasets:
- clupubhealth
metrics:
- rouge
model-index:
- name: clupubhealth-mini-test-3
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: clupubhealth
      type: clupubhealth
      config: mini
      split: test
      args: mini
    metrics:
    - name: Rouge1
      type: rouge
      value: 30.0438
---

<!-- 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. -->

# clupubhealth-mini-test-3

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the clupubhealth dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4191
- Rouge1: 30.0438
- Rouge2: 10.2364
- Rougel: 20.066
- Rougelsum: 20.1703
- Gen Len: 19.6

## 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: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 20
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 0.5   | 5    | 2.5258          | 25.7171 | 6.7541  | 16.6375 | 17.2026   | 20.0    |
| 3.0394        | 1.0   | 10   | 2.4191          | 30.0438 | 10.2364 | 20.066  | 20.1703   | 19.6    |


### Framework versions

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