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---
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
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