---
base_model: vinai/bartpho-syllable
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-vn-ehealth-tokenizer
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bart-base-vn-ehealth-tokenizer

This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5573
- Rouge1: 19.5871
- Rouge2: 9.8761
- Rougel: 16.1785
- Rougelsum: 18.0628
- Bleu-1: 0.0074
- Bleu-2: 0.0054
- Bleu-3: 0.0039
- Bleu-4: 0.0028
- 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 | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:------:|:------:|:------:|:------:|:-------:|
| 1.6631        | 1.0   | 17418 | 1.5573          | 19.5871 | 9.8761 | 16.1785 | 18.0628   | 0.0074 | 0.0054 | 0.0039 | 0.0028 | 20.0    |


### Framework versions

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