---
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