---
library_name: transformers
license: mit
base_model: FiveC/BartTay
tags:
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: BartTayFinal-theme-vi-only
  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. -->

# BartTayFinal-theme-vi-only

This model is a fine-tuned version of [FiveC/BartTay](https://huggingface.co/FiveC/BartTay) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1208
- Sacrebleu: 28.3838

## 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: 16
- 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Sacrebleu |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|
| 0.1065        | 1.0   | 4973  | 0.1296          | 22.1360   |
| 0.0725        | 2.0   | 9946  | 0.1215          | 27.1843   |
| 0.0596        | 3.0   | 14919 | 0.1208          | 28.3838   |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1