---
tags:
- generated_from_trainer
model-index:
- name: electra-qa-3-finetuned-viet-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. -->

# electra-qa-3-finetuned-viet-qa

This model is a fine-tuned version of [NlpHUST/electra-base-vn](https://huggingface.co/NlpHUST/electra-base-vn) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0900

## 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: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.7588        | 1.0   | 1912  | 1.5902          |
| 1.2695        | 2.0   | 3824  | 1.4278          |
| 0.9466        | 3.0   | 5736  | 1.4897          |
| 0.7172        | 4.0   | 7648  | 1.7142          |
| 0.5232        | 5.0   | 9560  | 1.9696          |
| 0.4025        | 6.0   | 11472 | 2.2235          |
| 0.3104        | 7.0   | 13384 | 2.4544          |
| 0.243         | 8.0   | 15296 | 2.7552          |
| 0.1863        | 9.0   | 17208 | 2.9858          |
| 0.1531        | 10.0  | 19120 | 3.0900          |


### Framework versions

- Transformers 4.23.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1