---
license: mit
tags:
- generated_from_trainer
datasets:
- indoqa
model-index:
- name: indobert-base-uncased-finetuned-indoqa
  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. -->

# indobert-base-uncased-finetuned-indoqa

This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the indoqa dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5064

## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5039        | 1.0   | 204  | 2.2788          |
| 2.0369        | 2.0   | 408  | 1.7540          |
| 1.5361        | 3.0   | 612  | 1.5528          |
| 1.1903        | 4.0   | 816  | 1.4809          |
| 1.0263        | 5.0   | 1020 | 1.4368          |
| 0.8572        | 6.0   | 1224 | 1.4654          |
| 0.7322        | 7.0   | 1428 | 1.4382          |
| 0.6667        | 8.0   | 1632 | 1.4520          |
| 0.6123        | 9.0   | 1836 | 1.4890          |
| 0.5638        | 10.0  | 2040 | 1.5064          |


### Framework versions

- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1