---
base_model: KingLTD/pretrain_Law_model_bartpho_version1
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pretrain_Law_model_bartpho_version2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# pretrain_Law_model_bartpho_version2

This model is a fine-tuned version of [KingLTD/pretrain_Law_model_bartpho_version1](https://huggingface.co/KingLTD/pretrain_Law_model_bartpho_version1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1794
- Rouge1: 0.4739
- Rouge2: 0.3818
- Rougel: 0.4294
- Rougelsum: 0.4408

## 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  | 0.1490          | 0.4706 | 0.3710 | 0.4217 | 0.4344    |
| No log        | 2.0   | 490  | 0.1537          | 0.4694 | 0.3706 | 0.4215 | 0.4338    |
| 0.1737        | 3.0   | 735  | 0.1585          | 0.4705 | 0.3757 | 0.4244 | 0.4366    |
| 0.1737        | 4.0   | 980  | 0.1606          | 0.4694 | 0.3701 | 0.4221 | 0.4349    |
| 0.122         | 5.0   | 1225 | 0.1665          | 0.4702 | 0.3746 | 0.4237 | 0.4357    |
| 0.122         | 6.0   | 1470 | 0.1685          | 0.4726 | 0.3772 | 0.4259 | 0.4363    |
| 0.089         | 7.0   | 1715 | 0.1744          | 0.4747 | 0.3795 | 0.4291 | 0.4409    |
| 0.089         | 8.0   | 1960 | 0.1753          | 0.4742 | 0.3823 | 0.4296 | 0.4410    |
| 0.0698        | 9.0   | 2205 | 0.1791          | 0.4759 | 0.3838 | 0.4303 | 0.4417    |
| 0.0698        | 10.0  | 2450 | 0.1794          | 0.4739 | 0.3818 | 0.4294 | 0.4408    |


### Framework versions

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