---
base_model: vinai/bartpho-syllable-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bartpho-syllable-base-ceg-pair-lexnorm-wiki20k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bartpho-syllable-base-ceg-pair-lexnorm-wiki20k

This model is a fine-tuned version of [vinai/bartpho-syllable-base](https://huggingface.co/vinai/bartpho-syllable-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0441
- Rouge1: 83.8906
- Rouge2: 76.8215
- Rougel: 83.4733
- Rougelsum: 83.4783
- Gen Len: 14.9751

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.1329        | 1.0   | 625  | 0.0572          | 80.5125 | 71.817  | 80.0125 | 79.9934   | 14.9828 |
| 0.0424        | 2.0   | 1250 | 0.0447          | 81.8041 | 73.7589 | 81.3035 | 81.2949   | 14.8986 |
| 0.0253        | 3.0   | 1875 | 0.0449          | 82.4467 | 74.7259 | 81.9169 | 81.906    | 15.0067 |
| 0.0167        | 4.0   | 2500 | 0.0427          | 83.3339 | 76.0786 | 82.8455 | 82.8229   | 15.0010 |
| 0.0116        | 5.0   | 3125 | 0.0444          | 83.4771 | 76.234  | 83.0177 | 83.008    | 15.0144 |
| 0.0082        | 6.0   | 3750 | 0.0438          | 83.6459 | 76.467  | 83.2461 | 83.2372   | 14.9933 |
| 0.0061        | 7.0   | 4375 | 0.0440          | 83.699  | 76.5119 | 83.3283 | 83.3175   | 14.9684 |
| 0.0047        | 8.0   | 5000 | 0.0447          | 83.7618 | 76.6774 | 83.346  | 83.3564   | 14.9349 |
| 0.0038        | 9.0   | 5625 | 0.0436          | 83.9239 | 76.845  | 83.4885 | 83.5062   | 14.9732 |
| 0.0032        | 10.0  | 6250 | 0.0441          | 83.8906 | 76.8215 | 83.4733 | 83.4783   | 14.9751 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.0