---
base_model: google/pegasus-pubmed
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: models
  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. -->

# models

This model is a fine-tuned version of [google/pegasus-pubmed](https://huggingface.co/google/pegasus-pubmed) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8844
- Rouge1: 36.8587
- Rouge2: 12.7373
- Rougel: 23.9623
- Rougelsum: 31.0333
- Gen Len: 106.2

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 100
- optimizer: Adafactor
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 100  | 2.8844          | 36.5048 | 15.2772 | 23.4469 | 31.6065   | 181.9   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3