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

# BartTay

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: 4.9817

## 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_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   | 31   | 6.0913          |
| No log        | 2.0   | 62   | 5.9827          |
| No log        | 3.0   | 93   | 5.5213          |
| No log        | 4.0   | 124  | 5.5365          |
| No log        | 5.0   | 155  | 5.4878          |
| No log        | 6.0   | 186  | 5.3048          |
| No log        | 7.0   | 217  | 5.1977          |
| No log        | 8.0   | 248  | 5.3308          |
| No log        | 9.0   | 279  | 5.0532          |
| No log        | 10.0  | 310  | 5.0651          |
| No log        | 11.0  | 341  | 4.9692          |
| No log        | 12.0  | 372  | 4.9966          |
| No log        | 13.0  | 403  | 5.0072          |
| No log        | 14.0  | 434  | 4.9878          |


### Framework versions

- Transformers 4.57.0
- Pytorch 2.8.0+cu126
- Datasets 3.1.0
- Tokenizers 0.22.1