---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: PegasusMedicalSummary
  results: []
---

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# PegasusMedicalSummary

### Authors
This model was created by [renegarza](https://huggingface.co/renegarza) and [mereshd](https://huggingface.co/mereshd).

This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1438
- Rouge1: 0.4318
- Rouge2: 0.2525
- Rougel: 0.3524
- Rougelsum: 0.3525
- Gen Len: 55.882

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 6.5172        | 1.0   | 999  | 0.1784          | 0.4161 | 0.2373 | 0.3388 | 0.3384    | 52.102  |
| 0.3174        | 2.0   | 1999 | 0.1550          | 0.4236 | 0.2434 | 0.343  | 0.3428    | 54.458  |
| 0.2632        | 3.0   | 2999 | 0.1462          | 0.4269 | 0.2467 | 0.3465 | 0.3464    | 55.503  |
| 0.2477        | 4.0   | 3996 | 0.1438          | 0.4318 | 0.2525 | 0.3524 | 0.3525    | 55.882  |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3