---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pegasus-base-qag-bg-finetuned-spelling6-bg
  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. -->

# pegasus-base-qag-bg-finetuned-spelling6-bg

This model is a fine-tuned version of [rmihaylov/pegasus-base-qag-bg](https://huggingface.co/rmihaylov/pegasus-base-qag-bg) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5122
- Rouge1: 84.87
- Rouge2: 76.3663
- Rougel: 84.835
- Rougelsum: 84.8254

## 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: 5.6e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 0.6248        | 1.0   | 1563 | 0.5306          | 84.4974 | 75.7212 | 84.4591 | 84.45     |
| 0.4855        | 2.0   | 3126 | 0.5122          | 84.87   | 76.3663 | 84.835  | 84.8254   |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2