---
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: 1.6228
- Rouge1: 52.8317
- Rouge2: 29.8327
- Rougel: 41.7287
- Rougelsum: 46.3648
- Gen Len: 16.8071

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.8522        | 1.0   | 3683  | 1.6994          | 52.1383 | 28.4438 | 41.2886 | 45.7379   | 16.6484 |
| 1.496         | 2.0   | 7366  | 1.6228          | 52.8317 | 29.8327 | 41.7287 | 46.3648   | 16.8071 |
| 1.1959        | 3.0   | 11049 | 1.6419          | 53.6738 | 30.2857 | 42.5458 | 47.2315   | 16.906  |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2