---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: vietnamese_mt5_summary_model_2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# vietnamese_mt5_summary_model_2

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4813
- Rouge1: 57.2618
- Rouge2: 23.5562
- Rougel: 35.4717
- Rougelsum: 37.1259

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 1.5757        | 1.0   | 313  | 1.4225          | 57.3823 | 23.8437 | 35.6288 | 37.1079   |
| 1.5452        | 2.0   | 626  | 1.4219          | 56.809  | 23.4657 | 35.0977 | 36.7606   |
| 1.5074        | 3.0   | 939  | 1.4122          | 55.9095 | 23.0128 | 35.0274 | 36.4447   |
| 1.4701        | 4.0   | 1252 | 1.4256          | 56.621  | 23.1876 | 35.1323 | 36.5518   |
| 1.431         | 5.0   | 1565 | 1.4381          | 57.2067 | 23.6087 | 35.1239 | 36.7421   |
| 1.3929        | 6.0   | 1878 | 1.4338          | 57.1248 | 23.9446 | 35.3666 | 36.9974   |
| 1.3558        | 7.0   | 2191 | 1.4727          | 57.0482 | 23.1001 | 34.8187 | 36.1817   |
| 1.3197        | 8.0   | 2504 | 1.4928          | 56.0409 | 23.1702 | 35.4414 | 36.858    |
| 1.2861        | 9.0   | 2817 | 1.4917          | 57.1416 | 23.7555 | 35.5747 | 36.9418   |
| 1.2367        | 10.0  | 3130 | 1.4813          | 57.2618 | 23.5562 | 35.4717 | 37.1259   |


### Framework versions

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