---
library_name: transformers
license: mit
base_model: vinai/bartpho-syllable
tags:
- generated_from_trainer
model-index:
- name: bartede
  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. -->

# bartede

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: 0.5731

## 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: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 158  | 0.8921          |
| No log        | 2.0   | 316  | 0.7830          |
| No log        | 3.0   | 474  | 0.7182          |
| 1.0152        | 4.0   | 632  | 0.6720          |
| 1.0152        | 5.0   | 790  | 0.6444          |
| 1.0152        | 6.0   | 948  | 0.6201          |
| 0.6533        | 7.0   | 1106 | 0.6068          |
| 0.6533        | 8.0   | 1264 | 0.5954          |
| 0.6533        | 9.0   | 1422 | 0.5895          |
| 0.5543        | 10.0  | 1580 | 0.5840          |
| 0.5543        | 11.0  | 1738 | 0.5777          |
| 0.5543        | 12.0  | 1896 | 0.5731          |
| 0.4994        | 13.0  | 2054 | 0.5735          |
| 0.4994        | 14.0  | 2212 | 0.5735          |
| 0.4994        | 15.0  | 2370 | 0.5736          |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2