---
tags:
- generated_from_trainer
model-index:
- name: electra-qa-3-finetuned-viet-qa
  results: []
---

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# 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:
- eval_loss: 1.5498
- eval_runtime: 98.1124
- eval_samples_per_second: 58.474
- eval_steps_per_second: 4.882
- epoch: 4.0
- step: 7648

## 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: 1e-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

### Framework versions

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