---
base_model: google/pegasus-x-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: cdc_influenza_pagasus-x-large
  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_pagasus-x-large

This model is a fine-tuned version of [google/pegasus-x-large](https://huggingface.co/google/pegasus-x-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0621
- Rouge1: 0.6667
- Rouge2: 0.6562
- Rougel: 0.6667
- Rougelsum: 0.6667
- Gen Len: 51.0

## 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    | 0.3086          | 0.2386 | 0.2184 | 0.2386 | 0.2386    | 176.0   |
| No log        | 2.0   | 2    | 0.1118          | 0.6667 | 0.6562 | 0.6667 | 0.6667    | 51.0    |
| No log        | 3.0   | 3    | 0.0755          | 0.6667 | 0.6562 | 0.6667 | 0.6667    | 51.0    |
| No log        | 4.0   | 4    | 0.0621          | 0.6667 | 0.6562 | 0.6667 | 0.6667    | 51.0    |


### Framework versions

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