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# Pegasus_paraphraser_3

This model is a fine-tuned version of [Gayathri142214002/Pegasus_paraphraser_2](https://huggingface.co/Gayathri142214002/Pegasus_paraphraser_2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2735

## 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        | 0.46  | 1000 | 0.2257          |
| 0.2471        | 0.91  | 2000 | 0.2310          |
| 0.2034        | 1.37  | 3000 | 0.2519          |
| 0.2011        | 1.83  | 4000 | 0.2442          |
| 0.1772        | 2.28  | 5000 | 0.2644          |
| 0.1695        | 2.74  | 6000 | 0.2562          |
| 0.1532        | 3.19  | 7000 | 0.2754          |
| 0.1417        | 3.65  | 8000 | 0.2735          |


### Framework versions

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

{"tags": ["generated_from_trainer"], "model-index": [{"name": "Pegasus_paraphraser_3", "results": []}]}
transformers pytorch pegasus text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible region:us