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---
base_model: vinai/bartpho-syllable-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bartpho-syllable-base-ceg-pair-lexnorm-wiki20k
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. -->
# bartpho-syllable-base-ceg-pair-lexnorm-wiki20k
This model is a fine-tuned version of [vinai/bartpho-syllable-base](https://huggingface.co/vinai/bartpho-syllable-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0408
- Rouge1: 84.3157
- Rouge2: 77.3019
- Rougel: 83.8705
- Rougelsum: 83.8558
- Gen Len: 15.0248
## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.1329 | 1.0 | 625 | 0.0553 | 80.5353 | 71.5638 | 80.1035 | 80.1039 | 15.0790 |
| 0.0424 | 2.0 | 1250 | 0.0423 | 82.2298 | 74.0725 | 81.7495 | 81.7617 | 14.9752 |
| 0.0253 | 3.0 | 1875 | 0.0423 | 82.9736 | 75.0608 | 82.4352 | 82.4329 | 15.0762 |
| 0.0167 | 4.0 | 2500 | 0.0396 | 83.3918 | 75.9135 | 82.8826 | 82.8858 | 15.0610 |
| 0.0116 | 5.0 | 3125 | 0.0415 | 83.4002 | 76.079 | 82.8948 | 82.9143 | 15.0714 |
| 0.0082 | 6.0 | 3750 | 0.0403 | 83.7144 | 76.3254 | 83.2485 | 83.2335 | 15.0238 |
| 0.0061 | 7.0 | 4375 | 0.0408 | 83.6799 | 76.3557 | 83.2511 | 83.265 | 15.0324 |
| 0.0047 | 8.0 | 5000 | 0.0415 | 84.1614 | 77.0332 | 83.6674 | 83.6623 | 15.0124 |
| 0.0038 | 9.0 | 5625 | 0.0404 | 84.2497 | 77.2485 | 83.7718 | 83.7791 | 15.0352 |
| 0.0032 | 10.0 | 6250 | 0.0408 | 84.3157 | 77.3019 | 83.8705 | 83.8558 | 15.0248 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.0
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