---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-vietnamese-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. -->

# t5-vietnamese-summarization

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.7088
- Rouge1: 0.3594
- Rouge2: 0.1038
- Rougel: 0.2326
- Rougelsum: 0.2333
- Gen Len: 17.614

## 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 282  | 6.8323          | 0.23   | 0.0659 | 0.1532 | 0.1533    | 17.146  |
| 7.1083        | 2.0   | 564  | 6.7612          | 0.3211 | 0.0944 | 0.2101 | 0.2103    | 16.972  |
| 7.1083        | 3.0   | 846  | 6.7147          | 0.3473 | 0.1015 | 0.2266 | 0.2272    | 17.276  |
| 6.9522        | 4.0   | 1128 | 6.7088          | 0.3594 | 0.1038 | 0.2326 | 0.2333    | 17.614  |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3