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---
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
should probably proofread and complete it, then remove this comment. -->
# 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: 1.6613
- Rouge1: 19.3999
- Rouge2: 9.9504
- Rougel: 16.1386
- Rougelsum: 17.9356
- Bleu-1: 0.0078
- Bleu-2: 0.0058
- Bleu-3: 0.0041
- Bleu-4: 0.003
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:------:|:------:|:------:|:------:|:-------:|
| 1.7993 | 1.0 | 17418 | 1.6613 | 19.3999 | 9.9504 | 16.1386 | 17.9356 | 0.0078 | 0.0058 | 0.0041 | 0.003 | 20.0 |
### Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
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