---
tags:
- generated_from_trainer
model-index:
- name: Pegasus_paraphraser_ComQG_2
  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_2

This model is a fine-tuned version of [Gayathri142214002/Pegasus_paraphraser_1](https://huggingface.co/Gayathri142214002/Pegasus_paraphraser_1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2872

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2379        | 0.49  | 1000 | 0.2476          |
| 0.2658        | 0.97  | 2000 | 0.2449          |
| 0.2192        | 1.46  | 3000 | 0.2616          |
| 0.2301        | 1.95  | 4000 | 0.2632          |
| 0.1943        | 2.44  | 5000 | 0.2761          |
| 0.2043        | 2.92  | 6000 | 0.2769          |
| 0.1752        | 3.41  | 7000 | 0.2871          |
| 0.1738        | 3.9   | 8000 | 0.2872          |


### Framework versions

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