---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: bartpho-finetuned-qa
  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. -->

# bartpho-finetuned-qa

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0573

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.1591        | 0.4032 | 100  | 0.0943          |
| 0.1181        | 0.8065 | 200  | 0.0841          |
| 0.0846        | 1.2097 | 300  | 0.0676          |
| 0.0641        | 1.6129 | 400  | 0.0597          |
| 0.0512        | 2.0161 | 500  | 0.0573          |
| 0.0354        | 2.4194 | 600  | 0.0617          |
| 0.0327        | 2.8226 | 700  | 0.0573          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1
- Datasets 3.1.0
- Tokenizers 0.19.1