---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: cdc_influenza_bart-base-cnn
  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. -->

# cdc_influenza_bart-base-cnn

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5155
- Rouge1: 0.3829
- Rouge2: 0.3086
- Rougel: 0.3623
- Rougelsum: 0.3576
- 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 2    | 0.8120          | 0.308  | 0.2272 | 0.2723 | 0.2758    | 20.0    |
| No log        | 2.0   | 4    | 0.6427          | 0.3473 | 0.2635 | 0.3179 | 0.3189    | 20.0    |
| No log        | 3.0   | 6    | 0.5496          | 0.3925 | 0.3203 | 0.3671 | 0.3642    | 20.0    |
| No log        | 4.0   | 8    | 0.5155          | 0.3829 | 0.3086 | 0.3623 | 0.3576    | 20.0    |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2