---
base_model: vinai/bartpho-word-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bartpho-word-base-finetuned-ee
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bartpho-word-base-finetuned-ee

This model is a fine-tuned version of [vinai/bartpho-word-base](https://huggingface.co/vinai/bartpho-word-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0116
- Rouge1: 88.7018
- Rouge2: 79.3922
- Rougel: 88.6978
- Rougelsum: 88.7065
- Gen Len: 9.733

## 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.0184        | 1.0   | 1492 | 0.0143          | 87.5521 | 76.9727 | 87.5302 | 87.5409   | 9.779   |
| 0.0124        | 2.0   | 2984 | 0.0125          | 87.4254 | 76.7809 | 87.4381 | 87.4401   | 9.9261  |
| 0.0093        | 3.0   | 4476 | 0.0116          | 88.7018 | 79.3922 | 88.6978 | 88.7065   | 9.733   |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1