---
base_model: KingLTD/pretrain_Law_model_bartpho_version2
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pretrain_Law_model_bartpho_version3
  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_version3

This model is a fine-tuned version of [KingLTD/pretrain_Law_model_bartpho_version2](https://huggingface.co/KingLTD/pretrain_Law_model_bartpho_version2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1145
- Rouge1: 0.4814
- Rouge2: 0.3997
- Rougel: 0.4430
- Rougelsum: 0.4527

## 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  | 0.0961          | 0.4759 | 0.3999 | 0.4423 | 0.4503    |
| No log        | 2.0   | 490  | 0.1000          | 0.4820 | 0.4017 | 0.4425 | 0.4522    |
| 0.0968        | 3.0   | 735  | 0.1065          | 0.4817 | 0.4014 | 0.4422 | 0.4527    |
| 0.0968        | 4.0   | 980  | 0.1072          | 0.4807 | 0.4016 | 0.4445 | 0.4542    |
| 0.0618        | 5.0   | 1225 | 0.1098          | 0.4808 | 0.3997 | 0.4435 | 0.4532    |
| 0.0618        | 6.0   | 1470 | 0.1110          | 0.4817 | 0.3990 | 0.4428 | 0.4526    |
| 0.0427        | 7.0   | 1715 | 0.1125          | 0.4796 | 0.3988 | 0.4423 | 0.4529    |
| 0.0427        | 8.0   | 1960 | 0.1136          | 0.4822 | 0.4032 | 0.4453 | 0.4539    |
| 0.0314        | 9.0   | 2205 | 0.1141          | 0.4814 | 0.3991 | 0.4430 | 0.4527    |
| 0.0314        | 10.0  | 2450 | 0.1145          | 0.4814 | 0.3997 | 0.4430 | 0.4527    |


### Framework versions

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