---
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: cdc_influenza_bart_large_cnn
  results: []
---

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

This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1632
- Rouge1: 0.536
- Rouge2: 0.408
- Rougel: 0.4456
- Rougelsum: 0.4456
- Gen Len: 83.0

## 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   | 1    | 0.2147          | 0.525  | 0.3844 | 0.4633 | 0.4633    | 77.5    |
| No log        | 2.0   | 2    | 0.1895          | 0.5407 | 0.4076 | 0.4735 | 0.4735    | 79.25   |
| No log        | 3.0   | 3    | 0.1725          | 0.5407 | 0.4037 | 0.4542 | 0.4542    | 80.25   |
| No log        | 4.0   | 4    | 0.1632          | 0.536  | 0.408  | 0.4456 | 0.4456    | 83.0    |


### Framework versions

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