---
base_model: vinai/bartpho-syllable
library_name: transformers
license: mit
tags:
- generated_from_trainer
model-index:
- name: BARTBana_v1
  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_v1

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: 1.5525

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.2284        | 1.0   | 1316  | 3.1527          |
| 2.6988        | 2.0   | 2632  | 2.3799          |
| 2.38          | 3.0   | 3948  | 2.0462          |
| 2.0879        | 4.0   | 5264  | 1.8895          |
| 1.9391        | 5.0   | 6580  | 1.7817          |
| 1.8423        | 6.0   | 7896  | 1.7480          |
| 1.7697        | 7.0   | 9212  | 1.6467          |
| 1.6992        | 8.0   | 10528 | 1.5939          |
| 1.6668        | 9.0   | 11844 | 1.5594          |
| 1.632         | 10.0  | 13160 | 1.5200          |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0