---
library_name: transformers
license: mit
base_model: vinai/bartpho-syllable
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: ViT5-base-normalized
  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-base-normalized

This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0194
- Rouge1: 89.1883
- Rouge2: 85.545
- Rougel: 89.0077
- Rougelsum: 89.0313
- Gen Len: 15.0895

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.0911        | 1.0   | 524  | 0.0287          | 86.8798 | 81.8723 | 86.6699 | 86.7029   | 15.1629 |
| 0.0213        | 2.0   | 1048 | 0.0216          | 88.2321 | 84.1301 | 88.0463 | 88.0681   | 15.1238 |
| 0.0147        | 3.0   | 1572 | 0.0202          | 88.8138 | 84.9897 | 88.6248 | 88.6669   | 15.08   |
| 0.0115        | 4.0   | 2096 | 0.0203          | 89.1624 | 85.4043 | 88.9621 | 88.9905   | 15.0676 |
| 0.0094        | 5.0   | 2620 | 0.0194          | 89.1883 | 85.545  | 89.0077 | 89.0313   | 15.0895 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1