---
tags:
- generated_from_trainer
model-index:
- name: Pegasus_paraphraser_ComQG_3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Pegasus_paraphraser_ComQG_3

This model is a fine-tuned version of [Gayathri142214002/Pegasus_paraphraser_ComQG_2](https://huggingface.co/Gayathri142214002/Pegasus_paraphraser_ComQG_2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2753

## 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: 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

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2237        | 0.47  | 1000 | 0.2237          |
| 0.244         | 0.93  | 2000 | 0.2321          |
| 0.2073        | 1.4   | 3000 | 0.2543          |
| 0.213         | 1.86  | 4000 | 0.2511          |
| 0.1863        | 2.33  | 5000 | 0.2712          |
| 0.1844        | 2.79  | 6000 | 0.2621          |
| 0.1707        | 3.26  | 7000 | 0.2778          |
| 0.1585        | 3.72  | 8000 | 0.2753          |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3