---
license: apache-2.0
base_model: GuysTrans/bart-base-vn-re-attention
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-vn-re-attention
  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. -->

# bart-base-vn-re-attention

This model is a fine-tuned version of [GuysTrans/bart-base-vn-re-attention](https://huggingface.co/GuysTrans/bart-base-vn-re-attention) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7789
- Rouge1: 19.0028
- Rouge2: 7.9076
- Rougel: 15.8936
- Rougelsum: 17.5193
- Bleu-1: 0.003
- Bleu-2: 0.0018
- Bleu-3: 0.001
- Bleu-4: 0.0006
- Gen Len: 19.9959

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:------:|:------:|:------:|:------:|:-------:|
| 1.9746        | 1.0   | 10886 | 1.7789          | 19.0028 | 7.9076 | 15.8936 | 17.5193   | 0.003  | 0.0018 | 0.001  | 0.0006 | 19.9959 |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3