---
license: mit
base_model: VietAI/vit5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: ViT5_Dialogue_Summarization
  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. -->

# ViT5_Dialogue_Summarization

This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co./VietAI/vit5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6377
- Rouge1: 51.4583
- Rouge2: 28.5387
- Rougel: 40.9957
- Rougelsum: 45.4297
- Gen Len: 16.1661

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.5898        | 1.0   | 7366 | 0.6377          | 51.4583 | 28.5387 | 40.9957 | 45.4297   | 16.1661 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2