---
license: apache-2.0
base_model: GuysTrans/bart-base-vn-ehealth
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-vn-ehealth
  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-ehealth

This model is a fine-tuned version of [GuysTrans/bart-base-vn-ehealth](https://huggingface.co/GuysTrans/bart-base-vn-ehealth) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5333
- Rouge1: 8.6092
- Rouge2: 3.6926
- Rougel: 8.1412
- Rougelsum: 8.2708
- Gen Len: 20.0

## 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: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.5992        | 1.0   | 17418 | 0.5333          | 8.6092 | 3.6926 | 8.1412 | 8.2708    | 20.0    |


### Framework versions

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