---
license: mit
base_model: VietAI/vit5-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-large-paraphase-finetuned
  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. -->

# t5-large-paraphase-finetuned

This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI/vit5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0026
- Rouge1: 73.1728
- Rouge2: 57.3725
- Rougel: 69.3976
- Rougelsum: 69.3849
- Gen Len: 9.0143

## 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: 2e-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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.0441        | 1.0   | 1969 | 1.0026          | 73.1728 | 57.3725 | 69.3976 | 69.3849   | 9.0143  |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3