|
--- |
|
base_model: vinai/bartpho-syllable |
|
library_name: transformers |
|
license: mit |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: BARTBana_v5 |
|
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. --> |
|
|
|
# BARTBana_v5 |
|
|
|
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: 1.5331 |
|
|
|
## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
- lr_scheduler_type: linear |
|
- num_epochs: 15 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 3.1425 | 1.0 | 6519 | 2.7167 | |
|
| 2.6259 | 2.0 | 13038 | 2.2817 | |
|
| 2.3452 | 3.0 | 19557 | 2.1062 | |
|
| 2.1811 | 4.0 | 26076 | 1.9017 | |
|
| 2.0841 | 5.0 | 32595 | 1.8220 | |
|
| 1.9879 | 6.0 | 39114 | 1.7374 | |
|
| 1.9034 | 7.0 | 45633 | 1.7504 | |
|
| 1.8565 | 8.0 | 52152 | 1.6704 | |
|
| 1.8123 | 9.0 | 58671 | 1.6438 | |
|
| 1.7974 | 10.0 | 65190 | 1.5835 | |
|
| 1.7586 | 11.0 | 71709 | 1.5772 | |
|
| 1.7371 | 12.0 | 78228 | 1.5353 | |
|
| 1.7152 | 13.0 | 84747 | 1.5148 | |
|
| 1.6921 | 14.0 | 91266 | 1.4985 | |
|
| 1.688 | 15.0 | 97785 | 1.5129 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.48.1 |
|
- Pytorch 2.5.1+cu124 |
|
- Datasets 3.2.0 |
|
- Tokenizers 0.21.0 |
|
|
