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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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