---
license: apache-2.0
base_model: Gayathri142214002/Pegasus_paraphraser_Com_9
tags:
- generated_from_trainer
model-index:
- name: Pegasus_paraphraser_Com_10
  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_paraphraser_Com_10

This model is a fine-tuned version of [Gayathri142214002/Pegasus_paraphraser_Com_9](https://huggingface.co/Gayathri142214002/Pegasus_paraphraser_Com_9) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1777

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1512        | 1.84  | 500  | 0.1656          |
| 0.1346        | 3.68  | 1000 | 0.1777          |


### Framework versions

- Transformers 4.39.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2