transformers pytorch bart text2text-generation generated_from_trainer base_model:GuysTrans/bart-base-vn-ehealth license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: GuysTrans/bart-base-vn-ehealth
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bartpho-syllable-vn-ehealth
  results: []
---

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# bartpho-syllable-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: 0.4964
- Rouge1: 8.5504
- Rouge2: 3.6991
- Rougel: 8.095
- Rougelsum: 8.2219
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.5729        | 1.0   | 17418 | 0.4964          | 8.5504 | 3.6991 | 8.095  | 8.2219    | 20.0    |


### Framework versions

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