---
license: apache-2.0
base_model: huggingface-course/mt5-finetuned-amazon-en-es
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: vietnamese_mt5_summary_model
  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. -->

# vietnamese_mt5_summary_model

This model is a fine-tuned version of [huggingface-course/mt5-finetuned-amazon-en-es](https://huggingface.co/huggingface-course/mt5-finetuned-amazon-en-es) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4447
- Rouge1: 28.6205
- Rouge2: 12.1892
- Rougel: 22.6626
- Rougelsum: 22.9635

## 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: 0.001
- 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
- lr_scheduler_warmup_steps: 3000
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.7781        | 1.0   | 625  | 1.8391          | 28.5024 | 11.2717 | 22.108  | 22.4361   |
| 2.0622        | 2.0   | 1250 | 1.7576          | 28.0245 | 10.6112 | 21.7353 | 22.0685   |
| 1.8636        | 3.0   | 1875 | 1.6179          | 27.353  | 10.6238 | 21.4686 | 21.7512   |
| 1.7408        | 4.0   | 2500 | 1.6143          | 28.0928 | 11.2857 | 22.06   | 22.3629   |
| 1.6492        | 5.0   | 3125 | 1.5411          | 27.8209 | 10.9184 | 21.6819 | 21.9773   |
| 1.5448        | 6.0   | 3750 | 1.4802          | 28.0433 | 11.4232 | 22.0696 | 22.373    |
| 1.4454        | 7.0   | 4375 | 1.4621          | 27.8552 | 11.1708 | 21.8958 | 22.1949   |
| 1.3636        | 8.0   | 5000 | 1.4522          | 28.3264 | 11.7945 | 22.3563 | 22.6524   |
| 1.2978        | 9.0   | 5625 | 1.4347          | 28.444  | 11.9388 | 22.4279 | 22.7344   |
| 1.2445        | 10.0  | 6250 | 1.4447          | 28.6205 | 12.1892 | 22.6626 | 22.9635   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1