---
base_model: vinai/bartpho-syllable
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pretrain_Law_model_bartpho_version1
  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. -->

# pretrain_Law_model_bartpho_version1

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: 0.2879
- Rouge1: 0.4482
- Rouge2: 0.3252
- Rougel: 0.3897
- Rougelsum: 0.4055

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 245  | 0.3270          | 0.4333 | 0.2996 | 0.3650 | 0.3815    |
| No log        | 2.0   | 490  | 0.3024          | 0.4400 | 0.3072 | 0.3731 | 0.3938    |
| 0.6695        | 3.0   | 735  | 0.2883          | 0.4411 | 0.3186 | 0.3829 | 0.3996    |
| 0.6695        | 4.0   | 980  | 0.2820          | 0.4484 | 0.3255 | 0.3883 | 0.4046    |
| 0.2387        | 5.0   | 1225 | 0.2822          | 0.4500 | 0.3221 | 0.3876 | 0.4050    |
| 0.2387        | 6.0   | 1470 | 0.2806          | 0.4483 | 0.3224 | 0.3875 | 0.4049    |
| 0.1843        | 7.0   | 1715 | 0.2852          | 0.4471 | 0.3235 | 0.3870 | 0.4037    |
| 0.1843        | 8.0   | 1960 | 0.2844          | 0.4466 | 0.3216 | 0.3850 | 0.4020    |
| 0.1515        | 9.0   | 2205 | 0.2866          | 0.4504 | 0.3265 | 0.3900 | 0.4066    |
| 0.1515        | 10.0  | 2450 | 0.2879          | 0.4482 | 0.3252 | 0.3897 | 0.4055    |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3