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---
base_model: vinai/bartpho-syllable
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bartpho-syllable-sport
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-sport
This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5564
- Rouge1: 22.1502
- Rouge2: 10.6731
- Rougel: 17.0415
- Rougelsum: 19.4188
- 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.7288 | 1.0 | 2897 | 1.5132 | 22.8736 | 10.7796 | 17.5095 | 20.0227 | 20.0 |
| 0.6559 | 2.0 | 5794 | 1.5787 | 22.6719 | 11.5016 | 17.6212 | 20.1146 | 20.0 |
| 0.588 | 3.0 | 8691 | 1.6882 | 22.5239 | 11.3821 | 17.592 | 20.0007 | 20.0 |
| 0.4995 | 4.0 | 11588 | 1.7667 | 22.485 | 11.0341 | 17.379 | 19.7174 | 20.0 |
| 0.4345 | 5.0 | 14485 | 1.8834 | 22.2374 | 11.2249 | 17.4357 | 19.6897 | 20.0 |
| 0.376 | 6.0 | 17382 | 2.0113 | 22.0062 | 10.9701 | 17.1091 | 19.4408 | 20.0 |
| 0.3324 | 7.0 | 20279 | 2.1052 | 22.276 | 11.0747 | 17.3729 | 19.6683 | 20.0 |
| 0.288 | 8.0 | 23176 | 2.2021 | 22.5061 | 11.077 | 17.3248 | 19.7652 | 20.0 |
| 0.2597 | 9.0 | 26073 | 2.2556 | 22.1242 | 10.9297 | 17.1186 | 19.5203 | 20.0 |
| 0.2143 | 10.0 | 28970 | 2.3314 | 22.0919 | 10.8978 | 17.1433 | 19.4825 | 20.0 |
| 0.1862 | 11.0 | 31867 | 2.3885 | 22.1965 | 10.6584 | 17.028 | 19.4857 | 20.0 |
| 0.164 | 12.0 | 34764 | 2.4553 | 22.1645 | 10.8153 | 17.0451 | 19.4125 | 20.0 |
| 0.1434 | 13.0 | 37661 | 2.4914 | 22.1914 | 10.8805 | 17.085 | 19.4976 | 20.0 |
| 0.1275 | 14.0 | 40558 | 2.5209 | 22.2731 | 10.817 | 17.2177 | 19.5875 | 20.0 |
| 0.1172 | 15.0 | 43455 | 2.5463 | 22.1502 | 10.8105 | 17.1025 | 19.4512 | 20.0 |
| 0.1072 | 16.0 | 46352 | 2.5564 | 22.1502 | 10.6731 | 17.0415 | 19.4188 | 20.0 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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