---
license: mit
tags:
- generated_from_trainer
model-index:
- name: pegasus-base-qag-bg-finetuned-punctuation-bg
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# pegasus-base-qag-bg-finetuned-punctuation-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: 0.0318

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0563        | 1.0   | 4063  | 0.0279          |
| 0.0301        | 2.0   | 8126  | 0.0260          |
| 0.0227        | 3.0   | 12189 | 0.0259          |
| 0.0178        | 4.0   | 16252 | 0.0281          |
| 0.0145        | 5.0   | 20315 | 0.0290          |
| 0.0122        | 6.0   | 24378 | 0.0300          |
| 0.0105        | 7.0   | 28441 | 0.0305          |
| 0.0095        | 8.0   | 32504 | 0.0318          |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2